{\n /* ... */\n }}\n />\n );\n};\n```\n\n###### c. Forms\n\nTo control a form, you can either wrap the entire `\n );\n};\n\n// Wrap your form component with the HOC\nconst ControlledForm = withAccessControl(MyControlledForm, \"unique-form-id\");\n```\n\n###### d. Buttons inside Tables (input-table and table)\n\nFor buttons inside a table cell (from `input-table` or `table`), you should wrap the button component itself, not the table or the cell.\n\n```javascript\n// Pseudo-code for a component using nestedComponents/Table\nimport { Table } from \"nestedComponents\";\nimport { CtaV2 } from \"webComponents\"; // Assuming the button is a CtaV2\nimport withAccessControl from \"../hocs/withAccessControl\";\n\n// 1. Create a controlled version of the action button\nconst EditButton = withAccessControl(CtaV2, \"table-edit-button-id\");\nconst DeleteButton = withAccessControl(CtaV2, \"table-delete-button-id\");\n\n// 2. Use the controlled buttons within your table's data mapping\nconst MyPageWithTable = ({ data }) => {\n const columns = [\n { Header: \"Name\", accessor: \"name\" },\n {\n Header: \"Actions\",\n Cell: ({ row }) => (\n \n handleEdit(row)} />\n handleDelete(row)}\n />\n
\n ),\n },\n ];\n\n return ;\n};\n```\n\n##### 4\\. Proposed Code Structure\n\nHere is a recommended folder structure for the new access control files:\n\n```\nsrc/\n├── components/\n│ └── (Your existing components)\n├── contexts/\n│ └── AccessControlContext.js\n├── hocs/\n│ └── withAccessControl.js\n└── MicrositeRenderer.js\n```\n","filename":"07 - Application Pane Controller HLD.md","format":"Markdown","order":7,"title":""},{"content":"## File Upload Component Specification\n\n---\n\n**1. Component Overview**\n\n- Name: files-upload\n- Category: form\n\n\n\n**2. Configuration Properties**\n\n1. **Allowed File Types** (fixed)\n\n - .jpg, .jpeg, .png, .pdf, .webp, .xls, .xlsx, .doc, .docx\n\n2. **Maximum File Size** (fixed)\n\n - 5 MB per file\n\n3. **Selection Mode** (configurable)\n\n - Single-file or multiple-file\n\n4. **Maximum File Count** (fixed for multiple mode)\n\n - 10 files\n\n**3. Visual States**\n\n| State ID | Label | Trigger | Duration | Actions Available |\n| -------: | ---------- | -------------------------------------------------- | ------------------------ | --------------------- |\n| 1 | Default | Component idle | Until drag or select | Choose files |\n| 2 | Drag Over | Files dragged over drop zone | While dragging | — |\n| 3 | Uploading… | After drop or selection, before all uploads finish | Until all files uploaded | Disable further drops |\n| 4 | Error | API error on any file upload | Until retry | Retry |\n| 5 | Completed | All files uploaded successfully | 2 seconds | Preview |\n\n**4. Upload Flow**\n\n1. **Initiation**\n\n - User drags files into drop zone → go to State 2\n - Or user clicks to select files → proceed to Step 2\n\n2. **Document ID Acquisition**\n\n - If no `documentId` present:\n\n - Call `POST /documents` → retrieve `documentId`\n\n - Store `documentId` in formData under component’s name key\n\n3. **File Upload Sequence**\n\n - Enter State 3 (“Uploading…”)\n - For each file, sequentially call `POST /documents/{documentId}/files`\n\n - Await previous call completion before next\n\n4. **Error Handling**\n\n - On API error for any file:\n\n - Transition to State 4 (“Error”)\n - Enable “Retry” CTA\n - On retry, reupload failed file(s) via same endpoint\n\n5. **Completion**\n\n - After all files succeed:\n\n - Transition to State 5 (“Completed”) for 2 seconds\n - Revert to Default state\n - Display “Preview” action → opens files-preview component\n\n**5. Preview Action**\n\n- Visible in State 5\n- On click → open `files-preview` component with uploaded files\n\n**6. Styling Guidelines**\n\n- Follow Figma tokens for font-weight, font-size, color, padding, margin strictly\n\n---\n","filename":"08 - File Upload Component.md","format":"Markdown","order":8,"title":""},{"content":"## File Preview Component Specification\n\n---\n\n**1. Component Overview**\n\n- Name: files-preview\n- Category: form (implicit)\n- Access only via:\n\n - Table/input-table action\n - files-upload preview action\n - ctaV2\n\n\n\n**2. Properties**\n\n- **refIds**: string\\[] (required)\n- **activeRefId**: string (optional)\n\n**3. Active File Selection**\n\n- If `activeRefId` provided → use as current preview\n- If missing → set `activeRefId = refIds[0]`\n\n**4. Rendering**\n\n- Display current file preview in main view\n- Display all `refIds` in bottom slider\n- Highlight `activeRefId` in slider\n\n**6. All Files**\n\n- Show “Download your file\" message\n- Show “Download” button\n\n - On click → call `GET /binary?refId={activeRefId}`\n - Use metadata (filename, extension) from response headers\n - Trigger download via ``\n\n**7. Error Handling**\n\n- On binary fetch failure → show error state in preview area\n- Disable slider until retry succeeds\n\n**8. Styling**\n\n- Adhere to Figma tokens for typography, spacing, colors\n\n- Slider highlights use defined active-state styles\n","filename":"09 - File Preview Component.md","format":"Markdown","order":9,"title":""},{"content":"## Application Verifications - API Specs\n\n### GET response and POST request /verifications\n\n```json\n{\n \"application\": {\n \"applicationVerifications\": [\n {\n \"applicationVerificationQuestionnaires\": [\n {\n \"applicationVerificationQuestions\": [\n {\n \"questionCode\": \"Q1\",\n \"questionSrno\": 1,\n \"responseFieldText\": \"Response to question 1\",\n \"responseFieldBoolean\": true,\n \"responseFieldDate\": \"2023-10-01\",\n \"responseFieldNumeric\": 42,\n \"responseFieldLookupCode\": \"L1\"\n }\n ]\n }\n ],\n \"applicationVerificationAttributes\": [\n {\n \"attributeSrNumber\": 1,\n \"documentName\": \"Utility Bill\", // only part of GET response\n \"applicantName\": \"John Doe\", // only part of GET response\n \"applicantType\": \"Co-Borrower\", // only part of GET response\n \"customerType\": \"Individual\", // only part of GET response\n \"docReferenceId\": \"sfdgs4r343\", // only part of GET response\n \"applicationVerificationQuestionnaires\": [\n {\n \"applicationVerificationQuestionnaireCode\": \"AVQ1\",\n \"applicationVerificationQuestions\": [\n {\n \"questionCode\": \"Q_DOC_VERIFICATION_METHOD\",\n \"questionSrno\": 1,\n \"responseFieldLookupCode\": \"SCREENED/SAMPLED\"\n },\n {\n \"questionCode\": \"Q_DOC_VERIFICATION_STATUS\",\n \"questionSrno\": 2,\n \"responseFieldLookupCode\": \"PENDING/FRAUD/SUSPECT...\"\n },\n {\n \"questionCode\": \"Q_DOC_VERIFICATION_REMARKS\",\n \"questionSrno\": 3,\n \"responseFieldText\": \"Remarks for document verification\"\n }\n ]\n }\n ]\n }\n ],\n \"applicationVerificationDisplays\": [{}],\n \"applicationVerificationSupportings\": [{}]\n }\n ]\n }\n}\n```\n\n### Mapping for Verification Fields\n\n| Description | Key Path |\n| --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Input Table** | `application.applicationVerifications[*].applicationVerificationAttributes` |\n| **Document** | `documentName` |\n| **Applicant Name** | `applicantName` |\n| **Applicant Type** | `applicantType` |\n| **Customer Type** | `customerType` |\n| **Image** | `docReferenceId` |\n| **FCU Verification Method** | `applicationVerificationQuestionnaires[0].applicationVerificationQuestions[questionCode=Q_DOC_VERIFICATION_METHOD].responseFieldLookupCode` |\n| **Status** | `applicationVerificationQuestionnaires[0].applicationVerificationQuestions[questionCode=Q_DOC_VERIFICATION_STATUS].responseFieldLookupCode` |\n| **Remarks** | `applicationVerificationQuestionnaires[0].applicationVerificationQuestions[questionCode=Q_DOC_VERIFICATION_REMARKS].responseFieldText` |\n","filename":"10 - Application Verifications - API Specs.md","format":"Markdown","order":10,"title":""},{"content":"## Stack Component: Implementation Guide\n\n---\n\n### Introduction\n\nThis document provides a detailed technical specification for a new layout component named \"Stack\". The component's primary function is to arrange a variable number of child components along a single axis (either horizontal or vertical) and to provide comprehensive controls for alignment, spacing, padding, and borders.\n\n### Component Overview\n\n- **Component Name:** `stack`\n- **Availability:** The Stack component will be available in both the `Layout` and `Form` sections of the component library in the UI Configurator.\n- **Functionality:**\n - Serves as a container for other components.\n - Organizes child components in a single row or column, depending on the selected orientation (horizontal or vertical).\n - Exposes a comprehensive set of configurable properties for direction, alignment, justification, padding, borders, and inter-element spacing, modeled after modern design tools like Figma.\n - Supports nested hierarchies, meaning a Stack component can contain other Stack components.\n - Includes built-in responsive behavior, where a horizontally-oriented Stack will transition to a vertical layout on smaller screen resolutions.\n\n### Configurable Properties\n\nThe following properties for the Stack component are to be configured via the properties panel.\n\n- **Direction:**\n - **Property Name:** `direction`\n - **UI Control:** Icon Button Group\n - **Description:** This property controls the primary axis for component arrangement and directly maps to the CSS `flex-direction` property (`'horizontal'` corresponds to `'row'`, `'vertical'` to `'column'`).\n - **Options:** `horizontal`, `vertical`\n - **Default Value:** `horizontal`\n- **Alignment (Cross-Axis):**\n - **Property Name:** `alignment`\n - **UI Control:** Dropdown\n - **Description:** This property controls the alignment of child components along the cross-axis (i.e., perpendicular to the `direction`). It directly maps to the CSS `align-items` property.\n - **Options:** `top`, `center`, `bottom`, `stretch`\n - **Default Value:** `top`\n- **Justification (Main-Axis):**\n - **Property Name:** `justification`\n - **UI Control:** Dropdown\n - **Description:** This property controls the distribution and alignment of child components along the main axis (as defined by `direction`). It directly maps to the CSS `justify-content` property.\n - **Options:** `start`, `center`, `end`, `space-between`, `space-around`, `space-evenly`\n - **Default Value:** `start`\n- **Gap:**\n - **Property Name:** `gap`\n - **UI Control:** Number Input\n - **Description:** Defines the spacing in pixels between adjacent components. This directly maps to the CSS `gap` property.\n - **Type:** Number (pixels)\n - **Default Value:** `16`\n- **Padding:**\n - **Property Names:** `paddingTop`, `paddingRight`, `paddingBottom`, `paddingLeft`\n - **UI Control:** Expandable Number Input Group\n - **Detailed Functional Description:** This control manages the internal padding of the stack.\n - The UI will feature a primary number input field for uniform padding and an \"Independent Sides\" icon button positioned to its right.\n - **Collapsed State (Default View):**\n - Only the single, primary input field is visible.\n - If `paddingTop`, `paddingRight`, `paddingBottom`, and `paddingLeft` all have the same numerical value, this input must display that common value.\n - If the four padding values are not identical, this primary input must be blank or display a \"Mixed\" text. It must not show a potentially misleading value like `0`.\n - Changing the value in this single input must programmatically update all four underlying padding properties (`paddingTop`, `paddingRight`, `paddingBottom`, `paddingLeft`) in the component's data model to the newly entered value.\n - **Expanded State (Individual Sides View):**\n - Clicking the \"Independent Sides\" icon button (search `padding` in icons in Rahi Design System V1) will hide the primary input and reveal four separate, clearly labeled number input fields: \"Top\", \"Right\", \"Bottom\", and \"Left\".\n - Each of these inputs is directly bound to its corresponding property (`paddingTop`, `paddingRight`, etc.).\n - Clicking the icon again will hide the four individual inputs and return to the collapsed, single-input state.\n - **Type:** `number` (for each of the four properties).\n - **Default Value:** `0` (for each of the four properties).\n- **Border:**\n - **Property Names:** `borderStyle`, `borderThickness`, `borderColor`, `borderRadius`\n - **UI Control:** A group of controls for border properties.\n - **Description:** These properties control the visible border of the Stack container.\n - **Sub-Properties:**\n - **Style:**\n - **Property Name:** `borderStyle`\n - **UI Control:** Dropdown\n - **Description:** Defines the style of the border line. Maps to `border-style`.\n - **Options:** `none`, `solid`, `dashed`, `dotted`\n - **Default Value:** `none`\n - **Thickness:**\n - **Property Name:** `borderThickness`\n - **UI Control:** Number Input\n - **Description:** Defines the thickness of the border in pixels. Maps to `border-width`.\n - **Type:** Number (pixels)\n - **Default Value:** `0`\n - **Color:**\n - **Property Name:** `borderColor`\n - **UI Control:** Color Picker / Text Input\n - **Description:** Defines the color of the border. Maps to `border-color`.\n - **Type:** String (e.g., `#000000`, `rgba(0,0,0,0.5)`)\n - **Default Value:** `#000000`\n - **Radius:**\n - **Property Name:** `borderRadius`\n - **UI Control:** Number Input\n - **Description:** Controls the roundness of all container's corners. Maps to `border-radius`.\n - **Type:** `number` (pixels).\n - **Default Value:** `0`.\n\n### Behavior and Rules\n\n- **Wrapping:** Child components will **not** wrap to a new line; they are constrained to a single line and will shrink to fit if necessary. This corresponds to a `flex-wrap: nowrap` behavior.\n- **Nesting:** A Stack component can contain any other component, including other Stacks, with no predefined limit on nesting depth.\n- **Responsive Behavior:** When `direction` is `horizontal`, the Stack must switch to `flex-direction: column` on devices with a screen width below 768px. This behavior is fixed and not configurable.\n\n### Use Cases\n\n- Aligning a page title and an action button on a single line.\n- Grouping a set of action buttons and justifying them to the end (right) of the container.\n- Constructing complex, responsive card layouts by nesting horizontal and vertical stacks.\n- Building forms by vertically stacking labeled inputs with consistent spacing (`gap`).\n\n### JSON Structure Example\n\nThe configuration for a Stack component will be stored in the following JSON format.\n\n```json\n{\n \"id\": \"\",\n \"type\": \"stack\",\n \"category\": \"component/form\",\n \"properties\": {\n \"direction\": \"horizontal\",\n \"alignment\": \"center\",\n \"justification\": \"space-between\",\n \"gap\": 16,\n \"paddingTop\": 16,\n \"paddingRight\": 24,\n \"paddingBottom\": 16,\n \"paddingLeft\": 24,\n \"borderStyle\": \"solid\",\n \"borderThickness\": 1,\n \"borderColor\": \"#E0E0E0\",\n \"borderRadius\": 8\n },\n \"components\": [\n {\n \"id\": \"comp-1\",\n \"type\": \"typograph\",\n \"properties\": {\n \"text\": \"Sample Text\"\n }\n },\n {\n \"id\": \"comp-2\",\n \"type\": \"button\",\n \"properties\": {\n \"label\": \"Sample Button\"\n }\n }\n ]\n}\n```\n","filename":"11 - Stack Component.md","format":"Markdown","order":11,"title":""},{"content":"## Financial Statements - Approach and API Specs\n\n### Add Financial Statement\n\nPOST `/api/v1/statements`\n\nRequest Body Example:\n\n```json\n{\n \"applicantCode\": \"applicant-123\",\n \"statementType\": \"bank-statement\",\n \"statementIdentifier\": \"\"\n}\n```\n\n### Prefill financial statements header section\n\nGET `/api/v1/statements/{statementId}/header`\n\nThis endpoint retrieves the header details for a financial statement, which includes fields specific to statement type, such as bank details for\n\nResponse:\n\n```json\n{\n \"applicantName\": \"John Doe\",\n \"statementName\": \"Monthly Salary Slip\",\n \"minStatements\": 1,\n \"maxStatements\": 3,\n \"statementPeriod\": \"Monthly\",\n \"unitCount\": 2,\n \"latestYear\": 2025,\n \"latestMonth\": \"JULY\",\n \"statementIdentifier\": \"\"\n}\n```\n\n### Submit financial statement header details\n\nPOST `/api/v1/statements/{statementId}/header`\n\nRequest Body Example:\n\n```json\n{\n \"unitCount\": 2,\n \"latestYear\": 2025,\n \"latestMonth\": \"JULY\"\n}\n```\n\n### Prefill financial statements details section\n\nGET `/api/v1/statements/{statementId}/details`\n\nRequest Parameters:\n\n```\n unitCount=2&\n latestYear=2025&\n latestMonth=7\n```\n\nResponse:\n\nexample for bank statement\n\n```json\n{\n \"statementDetails\": {\n \"statementId\": \"financial-statement-123\",\n \"statementSpecs\": {\n \"units\": [\n {\n \"index\": \"0\",\n \"unit\": \"July-2025\"\n },\n {\n \"index\": \"-1\",\n \"unit\": \"June-2025\"\n },\n {\n \"index\": \"-2\",\n \"unit\": \"May-2025\"\n }\n ],\n \"subUnits\": [\n {\n \"index\": \"0\",\n \"subUnit\": \"2\"\n },\n {\n \"index\": \"1\",\n \"subUnit\": \"5\"\n },\n {\n \"index\": \"2\",\n \"subUnit\": \"10\"\n }\n ],\n \"rows\": [\n {\n \"label\": \"Closing Balance\",\n \"key\": \"closingBalance\",\n \"isComputed\": false,\n \"isRequired\": true,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n }\n ],\n \"supporting\": [\n {\n \"label\": \"Average Balance\",\n \"key\": \"averageBalance\",\n \"isRequired\": true,\n \"type\": \"NUMBER\", // STRING, NUMBER, BOOLEAN, DATE, LOOKUP\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Total Balance\",\n \"key\": \"totalBalance\",\n \"isRequired\": true,\n \"type\": \"NUMBER\", // STRING, NUMBER, BOOLEAN, DATE, LOOKUP\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n }\n ]\n },\n \"statements\": {\n \"details\": {\n \"0\": [\n {\n \"unit\": \"2025-07\",\n \"subUnit\": \"2\",\n \"closingBalance\": 150000\n },\n {\n \"unit\": \"2025-07\",\n \"subUnit\": \"5\",\n \"closingBalance\": 150000\n },\n {\n \"unit\": \"2025-07\",\n \"subUnit\": \"10\",\n \"closingBalance\": 150000\n }\n ],\n \"-1\": [\n {\n \"unit\": \"2025-06\",\n \"subUnit\": \"2\",\n \"closingBalance\": 145000\n },\n {\n \"unit\": \"2025-06\",\n \"subUnit\": \"5\",\n \"closingBalance\": 145000\n },\n {\n \"unit\": \"2025-06\",\n \"subUnit\": \"10\",\n \"closingBalance\": 145000\n }\n ]\n },\n \"supporting\": [\n {\n \"key\": \"averageBalance\",\n \"value\": \"147500\"\n },\n {\n \"key\": \"totalBalance\",\n \"value\": \"450000\"\n }\n ]\n }\n }\n}\n```\n\nexample for PnL, GSTN and Salary Slip\n\nNOTE: computed field values are commented out in the example below as they will not be included in the response.\n\n```json\n{\n \"statementId\": \"financial-statement-123\",\n \"statementSpecs\": {\n \"units\": [\n {\n \"index\": \"0\",\n \"unit\": \"July-2025\"\n },\n {\n \"index\": \"-1\",\n \"unit\": \"June-2025\"\n },\n {\n \"index\": \"-2\",\n \"unit\": \"May-2025\"\n }\n ],\n \"rows\": [\n {\n \"label\": \"Basic Pay (+)\",\n \"key\": \"basicPay\",\n \"isComputed\": false,\n \"isRequired\": true,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Variable Pay (+)\",\n \"key\": \"variablePay\",\n \"isComputed\": false,\n \"isRequired\": false,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Reimbursement (+)\",\n \"key\": \"reimbursement\",\n \"isComputed\": false,\n \"isRequired\": false,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Other Components (+)\",\n \"key\": \"otherComponents\",\n \"isComputed\": false,\n \"isRequired\": false,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Cash Components (+)\",\n \"key\": \"cashComponents\",\n \"isComputed\": false,\n \"isRequired\": false,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Gross Monthly Income\",\n \"key\": \"grossMonthlyIncome\",\n \"isComputed\": true,\n \"expression\": \"basicPay + variablePay + reimbursement + otherComponents + cashComponents\",\n \"isRequired\": false,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Total Deductions (-)\",\n \"key\": \"totalDeductions\",\n \"isComputed\": false,\n \"isRequired\": true,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n },\n {\n \"label\": \"Net Monthly Income\",\n \"key\": \"netMonthlyIncome\",\n \"isComputed\": true,\n \"expression\": \"grossMonthlyIncome - totalDeductions\",\n \"isRequired\": false,\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n }\n ],\n \"supporting\": [\n {\n \"label\": \"Average Bank Balance\",\n \"key\": \"averageBankBalance\",\n \"isRequired\": true,\n \"type\": \"NUMBER\", // STRING, NUMBER, BOOLEAN, DATE, LOOKUP\n \"allowNegative\": false,\n \"maxLength\": 11,\n \"decimalPrecision\": 2\n }\n ]\n },\n \"statements\": {\n \"details\": {\n \"0\": [\n {\n \"unit\": \"2025-07\",\n \"basicPay\": 50000,\n \"variablePay\": 15000,\n \"reimbursement\": 5000,\n \"otherComponents\": 2000,\n \"cashComponents\": 0,\n // \"grossMonthlyIncome\": 72000,\n \"totalDeductions\": 8000\n // \"netMonthlyIncome\": 64000\n }\n ],\n \"-1\": [\n {\n \"unit\": \"2025-06\",\n \"basicPay\": 50000,\n \"variablePay\": 12000,\n \"reimbursement\": 5000,\n \"otherComponents\": 2000,\n \"cashComponents\": 0,\n // \"grossMonthlyIncome\": 69000,\n \"totalDeductions\": 7500\n // \"netMonthlyIncome\": 61500\n }\n ],\n \"-2\": [\n {\n \"unit\": \"2025-05\",\n \"basicPay\": 48000,\n \"variablePay\": 10000,\n \"reimbursement\": 5000,\n \"otherComponents\": 1500,\n \"cashComponents\": 0,\n // \"grossMonthlyIncome\": 64500,\n \"totalDeductions\": 7000\n // \"netMonthlyIncome\": 57500\n }\n ]\n },\n \"supporting\": [\n {\n \"key\": \"averageBankBalance\",\n \"value\": \"147500\"\n }\n ]\n }\n}\n```\n\n### Submit financial statement details\n\nPOST `/api/v1/statements/{statementId}/details`\n\nRequest Body Example:\n\nexample for PnL, GSTN and Salary Slip\n\nNOTE: computed field values are commented out in the example below as they will not be included in the request body.\n\n```json\n{\n \"statements\": {\n \"details\": {\n \"0\": [\n {\n \"unit\": \"2025-07\",\n \"basicPay\": 50000,\n \"variablePay\": 15000,\n \"reimbursement\": 5000,\n \"otherComponents\": 2000,\n \"cashComponents\": 0,\n // \"grossMonthlyIncome\": 72000,\n \"totalDeductions\": 8000\n // \"netMonthlyIncome\": 64000\n }\n ],\n \"-1\": [\n {\n \"unit\": \"2025-06\",\n \"basicPay\": 50000,\n \"variablePay\": 12000,\n \"reimbursement\": 5000,\n \"otherComponents\": 2000,\n \"cashComponents\": 0,\n // \"grossMonthlyIncome\": 69000,\n \"totalDeductions\": 7500\n // \"netMonthlyIncome\": 61500\n }\n ],\n \"-2\": [\n {\n \"unit\": \"2025-05\",\n \"basicPay\": 48000,\n \"variablePay\": 10000,\n \"reimbursement\": 5000,\n \"otherComponents\": 1500,\n \"cashComponents\": 0,\n // \"grossMonthlyIncome\": 64500,\n \"totalDeductions\": 7000\n // \"netMonthlyIncome\": 57500\n }\n ]\n },\n \"supporting\": [\n {\n \"key\": \"averageBankBalance\",\n \"value\": \"147500\"\n }\n ]\n }\n}\n```\n\nexample for bank statement\n\n```json\n{\n \"statements\": {\n \"details\": {\n \"0\": [\n {\n \"unit\": \"2025-07\",\n \"subUnit\": \"2\",\n \"closingBalance\": 150000\n },\n {\n \"unit\": \"2025-07\",\n \"subUnit\": \"5\",\n \"closingBalance\": 150000\n },\n {\n \"unit\": \"2025-07\",\n \"subUnit\": \"10\",\n \"closingBalance\": 150000\n }\n ],\n \"-1\": [\n {\n \"unit\": \"2025-06\",\n \"subUnit\": \"2\",\n \"closingBalance\": 145000\n },\n {\n \"unit\": \"2025-06\",\n \"subUnit\": \"5\",\n \"closingBalance\": 145000\n },\n {\n \"unit\": \"2025-06\",\n \"subUnit\": \"10\",\n \"closingBalance\": 145000\n }\n ]\n },\n \"supporting\": [\n {\n \"key\": \"averageBalance\",\n \"value\": \"147500\"\n },\n {\n \"key\": \"totalBalance\",\n \"value\": \"450000\"\n }\n ]\n }\n}\n```\n\n### \"financial-details\" component UI\n\n#### DSL\n\nThis example DSL defines a financial details component\n\n```json\n{\n \"type\": \"financial-details\",\n \"category\": \"form\",\n \"properties\": {\n \"name\": \"salarySlipDetails\"\n }\n}\n```\n\n\n","filename":"12 - Financial Statements - Approach.md","format":"Markdown","order":12,"title":""},{"content":"## Migrating to `co.properties` for Environment Variables in Next.js and NestJS\n\n### 1\\. General Prerequisites\n\n- The `co.properties` file **must be present at the root of your project** (Next.js or NestJS) when the build or start command is executed in your CI/CD pipeline.\n- Ensure your CI/CD pipeline is configured to inject or create this `co.properties` file in the correct location for each project.\n\n**Example `co.properties` file:**\n\n```properties\n# co.properties\n# General settings\nSERVICE_BASE_URL=http://api.example.com/\n\n# NestJS specific\nPOSTGRES_HOST=localhost\nPOSTGRES_PORT=5432\nPOSTGRES_USER=dbuser\nPOSTGRES_PASSWORD=dbpassword\nPOSTGRES_DB=mydb\nMONGO_URI=mongodb://localhost:27017/mymongodb\n\n# Next.js specific (must be prefixed for client-side access)\nNEXT_PUBLIC_BASE_URL=http://frontend.example.com/\nNEXT_PUBLIC_ANOTHER_SETTING=someValue\n```\n\n---\n\n### 2\\. Next.js Project Changes\n\n#### 2.1. Core Changes in `next.config.js`\n\nModify `next.config.js` to read and parse the `co.properties` file:\n\n1. **Import Node.js Modules:**\n You'll need `fs` and `path` to read the file.\n\n2. **Create a Parsing Function:**\n Implement a function that reads the `co.properties` file and parses its content into a JavaScript object.\n\n3. **Integrate with `next.config.js` `env` Property:**\n Expose parsed variables via the `env` property.\n\n **Important Note for Client-Side Variables:**\n Any variable from `co.properties` that needs to be accessible on the client-side (in browser-side code) **must be prefixed with `NEXT_PUBLIC_`**.\n\n**Modified `next.config.js`:**\n\n```javascript\n// next.config.js\nconst fs = require(\"fs\");\nconst path = require(\"path\");\n\n/**\n * Parses a .properties file into a JavaScript object.\n * Ignores comments (lines starting with #) and empty lines.\n * @param {string} filePath - The path to the .properties file.\n * @returns {Record} An object containing the parsed key-value pairs.\n */\nfunction parsePropertiesFile(filePath) {\n const parsed = {};\n if (fs.existsSync(filePath)) {\n const fileContent = fs.readFileSync(filePath, \"utf8\");\n fileContent.split(\"\\n\").forEach((line) => {\n const trimmedLine = line.trim();\n if (trimmedLine && !trimmedLine.startsWith(\"#\")) {\n const parts = trimmedLine.split(\"=\");\n if (parts.length > 1) {\n const key = parts[0].trim();\n const value = parts.slice(1).join(\"=\").trim();\n parsed[key] = value;\n }\n }\n });\n } else {\n console.warn(\n `Warning: co.properties file not found at ${filePath}. Ensure it's correctly injected by your CI/CD.`\n );\n }\n return parsed;\n}\n\nconst coPropertiesPath = path.resolve(__dirname, \"co.properties\");\nconst parsedCoProperties = parsePropertiesFile(coPropertiesPath);\n\n/** @type {import('next').NextConfig} */\nconst nextConfig = {\n env: {\n ...parsedCoProperties,\n },\n};\n\nmodule.exports = nextConfig;\n```\n\n#### 2.2. Accessing Variables in Your Next.js Application\n\nVariables from `co.properties` will be available via `process.env`.\n\n##### 2.2.1. Server-Side Components and API Routes\n\nAccess variables using `process.env.YOUR_VARIABLE_NAME`.\n\n**Example (`src/app/api/config/route.ts`):**\n\n```typescript\n// src/app/api/your-api-route/route.ts\nimport { NextResponse } from \"next/server\";\n\nexport async function GET() {\n const serviceBaseUrl = process.env.SERVICE_BASE_URL;\n return NextResponse.json(\n { message: \"Service Base URL received\", url: serviceBaseUrl },\n { status: 200 }\n );\n}\n```\n\n##### 2.2.2. Client-Side Components\n\nVariables must be prefixed with `NEXT_PUBLIC_` in your `co.properties` file for client-side access.\n\n**Example (`src/app/services/ConfigService.ts`):**\n\n```typescript\n// src/app/services/ConfigService.ts (No changes needed if NEXT_PUBLIC_BASE_URL is in co.properties)\nconst ConfigService = (() => {\n const config: { [key: string]: string | undefined } = {\n NEXT_PUBLIC_BASE_URL: process.env.NEXT_PUBLIC_BASE_URL,\n };\n\n const get = (key: string): string | undefined => config[key];\n\n const getAll = (): { [key: string]: string | undefined } => config;\n\n return { get, getAll };\n})();\n\nexport default ConfigService;\n```\n\n---\n\n### 3\\. NestJS Project Changes\n\nYour NestJS project uses `@nestjs/config`, which reads environment variables primarily from `process.env`. The goal is to parse `co.properties` and load its content into `process.env` _before_ NestJS's `ConfigModule` initializes.\n\n#### 3.1. Create a Properties Parsing Utility\n\nCreate a new file, for example, `src/utils/properties-parser.ts`, to handle reading and parsing the `co.properties` file.\n\n**`src/utils/properties-parser.ts`:**\n\n```typescript\n// src/utils/properties-parser.ts\nimport * as fs from \"fs\";\nimport * as path from \"path\";\n\n/**\n * Parses a .properties file into a JavaScript object.\n * Ignores comments (lines starting with #) and empty lines.\n * @param {string} filePath - The path to the .properties file.\n * @returns {Record} An object containing the parsed key-value pairs.\n */\nexport function parsePropertiesFile(filePath: string): Record {\n const parsed: Record = {};\n if (fs.existsSync(filePath)) {\n const fileContent = fs.readFileSync(filePath, \"utf8\");\n fileContent.split(\"\\n\").forEach((line) => {\n const trimmedLine = line.trim();\n if (trimmedLine && !trimmedLine.startsWith(\"#\")) {\n const parts = trimmedLine.split(\"=\");\n if (parts.length > 1) {\n const key = parts[0].trim();\n const value = parts.slice(1).join(\"=\").trim();\n parsed[key] = value;\n }\n }\n });\n } else {\n console.warn(`Warning: co.properties file not found at ${filePath}.`);\n }\n return parsed;\n}\n```\n\n#### 3.2. Modify `main.ts` to Load Properties\n\nUpdate your `main.ts` file to parse `co.properties` and inject its variables into `process.env` before the NestJS application bootstraps.\n\n**Modified `main.ts`:**\n\n```typescript\n// main.ts\nimport { NestFactory } from \"@nestjs/core\";\nimport {\n FastifyAdapter,\n NestFastifyApplication,\n} from \"@nestjs/platform-fastify\";\nimport { AppModule } from \"./app.module\";\nimport { SwaggerModule, DocumentBuilder } from \"@nestjs/swagger\";\nimport { ValidationPipe } from \"@nestjs/common\";\nimport * as path from \"path\";\nimport { parsePropertiesFile } from \"./utils/properties-parser\";\n\n// Load co.properties before NestJS application bootstrap\nconst coPropertiesPath = path.resolve(__dirname, \"../co.properties\");\nconst parsedCoProperties = parsePropertiesFile(coPropertiesPath);\n\nfor (const key in parsedCoProperties) {\n if (Object.prototype.hasOwnProperty.call(parsedCoProperties, key)) {\n process.env[key] = parsedCoProperties[key];\n }\n}\n\nasync function bootstrap() {\n const app = await NestFactory.create(\n AppModule,\n new FastifyAdapter({ bodyLimit: 10 * 1024 * 1024 })\n );\n app.enableCors();\n const config = new DocumentBuilder()\n .setTitle(\"User CRUD API\")\n .setDescription(\"API for managing users\")\n .setVersion(\"1.0\")\n .addTag(\"workspace\")\n .build();\n const document = SwaggerModule.createDocument(app, config);\n SwaggerModule.setup(\"api\", app, document, {\n swaggerOptions: { defaultModelsExpandDepth: -1 },\n });\n app.useGlobalPipes(new ValidationPipe());\n await app.listen(process.env.PORT ?? 8081, \"0.0.0.0\");\n}\nbootstrap();\n```\n\n**Note on `coPropertiesPath`:** The path `path.resolve(__dirname, '../co.properties')` assumes `main.ts` is compiled to `dist/main.js` and `co.properties` is at the project root. Adjust this path if your `co.properties` file or compiled `main.ts` is in a different location.\n\n#### 3.3. Update `app.module.ts` (Optional, but Recommended)\n\nSince you are now loading `co.properties` manually into `process.env`, you can simplify your `ConfigModule` setup if you no longer intend to use the `.env.${environment}` files.\n\n**Modified `app.module.ts`:**\n\n```typescript\n// app.module.ts\nimport { Module } from \"@nestjs/common\";\nimport { TypeOrmModule } from \"@nestjs/typeorm\";\nimport { MongooseModule, MongooseModuleOptions } from \"@nestjs/mongoose\";\nimport { WorkspaceModule } from \"./modules/workspace/workspace.module\";\nimport { mongoDBConfig } from \"./config/database/mongodb.config\";\nimport { postgresConfig } from \"./config/database/postgres.config\";\nimport { ConfigModule, ConfigService } from \"@nestjs/config\";\nimport { PageModule } from \"./modules/pages/page.module\";\nimport { MicrositeModule } from \"./modules/microsites/microsite.module\";\n\n@Module({\n imports: [\n ConfigModule.forRoot({\n isGlobal: true,\n // envFilePath: getEnvFilePath(), // Remove or comment this line if co.properties is the only source\n // and you're not using .env files anymore.\n }),\n MongooseModule.forRootAsync({\n useFactory: async (configService: ConfigService) =>\n mongoDBConfig(configService),\n inject: [ConfigService],\n } as MongooseModuleOptions),\n\n TypeOrmModule.forRootAsync({\n useFactory: async (configService: ConfigService) =>\n postgresConfig(configService),\n inject: [ConfigService],\n }),\n WorkspaceModule,\n PageModule,\n MicrositeModule,\n ],\n})\nexport class AppModule {}\n\n// You might remove this function if envFilePath is no longer used\n// function getEnvFilePath() {\n// const environment = process.env.NODE_ENV || 'development';\n// return `src/config/environments/.env.${environment}`;\n// }\n```\n\n#### 3.4. Accessing Variables in Your NestJS Application\n\nNo changes are needed for existing `ConfigService.get()` calls. They will automatically pick up the variables that have been injected into `process.env`.\n\n---\n\n### 4\\. CI/CD Implications for Both Projects\n\nEnsure the `co.properties` file is **copied or created at the root of your respective project directories before their build or start commands are executed**.\n\n**Example in a Dockerfile or Jenkins pipeline script:**\n\n```bash\n# For NestJS project (assuming it's in a subfolder or its own image)\n# Example Dockerfile for NestJS\nWORKDIR /app\nCOPY co.properties ./\nCOPY package.json ./\nRUN npm install\nCOPY . .\nRUN npm run build\nCMD [\"node\", \"dist/main\"]\n\n# For Next.js project (assuming it's in a subfolder or its own image)\n# Example Dockerfile for Next.js\nWORKDIR /app\nCOPY co.properties ./\nCOPY package.json ./\nRUN npm install\nCOPY . .\nRUN npm run build\nCMD [\"npm\", \"start\"]\n```\n","filename":"13 - co.properties in UI apps.md","format":"Markdown","order":13,"title":""},{"content":"## Custom Validation Messages – Development Guide\n\n### Context\n\n#### 1. User-facing behavior\n\n- Authors have no consistent place to write friendly validation messages, so most\n errors fall back to generic text like “This field is required” or \"Minimum length is 3\" etc.\n- People filling out forms see identical, non-contextual messages regardless of\n which rule failed, and date/table/API validations provide little guidance.\n- Branding teams cannot tailor validation tone or overall language.\n\n#### 2. Technical reality\n\n- **Builder (ui-configurator)** – The current `InputValidationPanel` only\n exposes one `validationMessage` field tied to numeric expressions. Other\n validation toggles (required, min/max length/value, pattern, date, API) store\n booleans/strings without any adjacent message fields, leaving authors no way to\n set per-rule text through the UI. Component schemas still lean on dispersed\n properties like `minLength`, `validations[].message`, etc.\n- **Renderer (web-renderer-lib)** – `getValidationsForField` and\n `getValidationsForInputTableField` construct rule arrays with hardcoded\n prefixes. `useFieldValidation` persists raw strings inside `errorMessages`,\n and `WebErrorMessages` simply joins them, so there is no structure for\n severity, placeholders, or API responses. Table columns only support inline\n `validation.message`, and API validation responses fetched via\n `resolveValidationURL()` are never displayed.\n\n### Goal\n\nRebuild the validation experience across **ui-configurator** and **web-renderer-lib** so that:\n\n- Validation rules are expressed in a single schema shared between authoring and rendering.\n- Every validation emits predictable diagnostics with customizable messages\n and placeholders.\n- Cross-field, API, date, and table validations share the same plumbing, making\n future features (e.g., conditional severity, analytics) straightforward.\n\n### Requirements\n\n**Functional**\n\n1. Component authors can define multiple validation rules per field, including\n priority, severity, and user-facing messages.\n2. Message templates support placeholders such as `{label}`, `{value}`,\n `{min}`, `{max}`, `{row}`, `{column}`.\n3. Rules can reference external sources (API validation, async lookups) while\n still resolving to a message template if the backend is silent.\n4. Input-table columns, repeatable sections, and nested components inherit or\n override message templates without duplicating JSON.\n5. Renderer surfaces structured diagnostics (type, severity, message, trace)\n for both inline display and telemetry.\n\n**Non-functional**\n\n- Backward compatibility path: legacy forms continue to run with legacy rules\n until migrated.\n- Accessibility: messages are announced via `aria-live` and linked to label +\n control.\n- Testability: deterministic validation engine with pure functions for unit\n coverage in `web-renderer-lib`.\n\n### Target architecture\n\n#### 1. Canonical validation schema (ui-configurator)\n\nDefine three core types in `ui-configurator/src/app/types/types.ts`:\n\n```ts\ntype ValidationKind =\n | \"required\"\n | \"length:min\"\n | \"length:max\"\n | \"numeric:min\"\n | \"numeric:max\"\n | \"pattern\"\n | \"date:min\"\n | \"date:max\"\n | \"expression\"\n | \"api\"\n | \"custom\"; // room for extensions\n\ninterface ValidationMessageTemplate {\n template: string; // e.g., \"{label} must be ≥ {min}\"\n severity?: \"error\" | \"warning\" | \"info\";\n}\n\ninterface ValidationRule {\n id: string;\n kind: ValidationKind;\n config: Record; // min, max, regex, endpoint, etc.\n triggers?: (\"onChange\" | \"onBlur\" | \"onSubmit\")[];\n message?: ValidationMessageTemplate;\n fallbackMessageKey?: string; // default chosen by platform\n}\n\ninterface ValidationProfile {\n rules: ValidationRule[];\n defaults?: Record;\n}\n```\n\nEach component’s `properties` gains `validationProfile?: ValidationProfile`.\nInput tables attach `validationProfile` per column. Legacy fields (`required`,\n`minLength`, `validationMessage`, etc.) remain for migration but ultimately map\nto generated `ValidationRule`s at publish time.\n\n#### 2. Builder UX blueprint\n\n- **Validation Designer Panel** (`InputValidationPanel.tsx` successor): a tabbed\n interface for “Presence”, “Length”, “Numeric”, “Pattern”, “Date”, “Expressions”,\n “API”. Each tab lets authors:\n - Toggle predefined rules (checkbox + config form)\n - Edit the message template (rich text field with placeholder chips)\n - Choose severity and trigger points\n - Preview the final message using sample data\n- **Preset library**: JSON definitions stored in\n `ui-configurator/src/app/data/validationPresets.ts` that teams can reuse.\n- **Schema compiler**: when exporting a microsite, map legacy flags to\n canonical rules (e.g., `properties.required` ⇒ `ValidationRule` with\n `kind=\"required\"`). This ensures old forms gain the new schema automatically.\n- **Validation linting**: on save, run a validator ensuring every enabled rule\n has either a template or a platform fallback.\n\n#### 3. Renderer validation engine (web-renderer-lib)\n\nIntroduce a new module `src/validation/engine.ts` responsible for:\n\n1. **Graph building** – Convert `ValidationProfile` into executable nodes with\n references to field paths, dependencies, and triggers.\n2. **Context assembly** – Provide `ValidationContext` containing field label,\n current value, sibling values, row/column coordinates, API responses, etc.\n3. **Rule evaluators** – Pure functions per `ValidationKind` returning\n `{ passed: boolean, details?: Record }`.\n4. **Message resolution** – Pass evaluator output and context to\n `messageFormatter.ts` which prioritizes: rule.message → profile.defaults →\n renderer default map. Formatter replaces placeholders, applies severity, and\n emits a structured diagnostic.\n5. **Dispatcher** – Integrate with `useFieldValidation` so triggers map to\n event handlers (`onChange`, `onBlur`, `onSubmit`). Instead of mutating\n `validationMap` directly, store compiled rule sets keyed by component ID.\n\nThis engine becomes the single entry point for `WebInput`, `WebSelect`,\n`WebDatePicker`, etc. `WebErrorMessages` consumes structured diagnostics rather\nthan plain strings, enabling consistent rendering of severity, iconography, and\nARIA attributes.\n\n#### 4. API validation pipeline\n\n- Centralize API validation definitions under `ValidationRule` with `kind=\"api\"`.\n- Engine posts requests (using existing `apiRequest`) and caches responses per\n rule ID. If the response payload includes a `message`, format it; otherwise,\n use the rule’s template.\n- Timeouts or network failures emit diagnostics with severity `warning` unless\n the rule is marked blocking.\n\n#### 5. Table/repeatable support\n\n- When compiling a table column, inject `{row}`, `{column}`, and `{value}` into\n the context, and pass row indices into placeholder formatter.\n- Merge row-level diagnostics using a deterministic key\n (`${componentIdPath}.${rowIndex}.${columnKey}`) so UI components can render\n inline chips or summary banners.\n\n#### 6. Telemetry & tooling\n\n- Emit a standardized event (e.g., `validation:failed`) whenever a diagnostic is\n generated. Payload includes `ruleId`, `kind`, `severity`, and whether the\n message was custom or default. This helps teams audit message coverage.\n- Provide a CLI utility or script that scans published microsite JSON to report\n missing templates or unused defaults.\n\n### Migration strategy\n\n1. **Compiler shim** – Build a translator that reads existing component\n properties and constructs a `ValidationProfile`. Store it alongside legacy\n fields during a transition period.\n2. **Renderer dual-mode** – `web-renderer-lib` first looks for\n `validationProfile`; if missing, it invokes the translator at runtime so old\n forms keep working.\n3. **Progressive authoring** – In `ui-configurator`, show both the new designer\n and a “Legacy settings” accordion. New forms default to the designer; legacy\n forms can be upgraded via a one-click migration tool that previews the JSON\n diff.\n\n### Delivery roadmap\n\n1. **Foundations (1 sprint)**\n\n - Define shared TypeScript types and JSON schema.\n - Implement translator utilities in both repos.\n\n2. **Builder revamp (2 sprints)**\n\n - Ship the new Validation Designer, preset library, and export compiler.\n - Update documentation/examples in `docs/component-properties.md`.\n\n3. **Renderer engine (2–3 sprints)**\n\n - Implement rule evaluators, formatter, and diagnostics store.\n - Refactor `useFieldValidation`, `InputFieldWrapper`, and control components\n to read structured diagnostics.\n\n4. **Advanced scenarios (1 sprint)**\n\n - Table/repeatable support, API validations, async rule caching.\n\n5. **Hardening & rollout (1 sprint)**\n - Instrument telemetry, finish unit/E2E coverage, bump consuming apps to the\n new renderer version, and publish authoring guides.\n\n### Testing strategy\n\n- **Unit tests** – `validation/engine.test.ts` covering each rule, placeholder\n combination, and severity mapping.\n- **Integration tests** – Story-driven tests for `WebInput`, `WebDatePicker`,\n `WebInputTable`, ensuring diagnostics appear at the right time.\n- **Builder E2E** – Cypress or Playwright flows validating that designers can\n add/edit/remove rules and that exports contain deterministic JSON.\n- **Contract tests** – Snapshot exported `ValidationProfile`s to prevent\n accidental schema drift.\n\n### Developer checklist\n\n1. Introduce `validationProfile` types and migration utilities in both repos.\n2. Implement the Validation Designer UI backed by the new schema.\n3. Build the renderer validation engine plus message formatter.\n4. Wire structured diagnostics into field components and error presenters.\n5. Add telemetry + documentation so product teams can adopt custom messages\n confidently.\n\nfollowing this guide delivers a ground-up validation system that treats custom\nmessages as first-class data, enabling richer UX and a more maintainable platform across ui-configurator, web-renderer-lib, and consumer applications.\nmore maintainable platform across ui-configurator, web-renderer-lib, and\nconsumer applications.\n","filename":"14 - Custom Validation Messages.md","format":"Markdown","order":14,"title":""},{"content":"## Visibility Controls Implementation in Frontend\n\n### Context\n\nA Microsite is a page/collection of pages which are configured using the UI Configurator. Each Microsite is designed to handle a specific business domain or process, such as Loan Application Processing, Customer Onboarding, or Claims Management. A microsite does not contain information about what needs to be shown to which user in which context.\n\nA Portal Task sits on top of a microsite and represents a stage-specific functional view of a user’s journey — for example:\n\n- Application Data Entry\n- Underwriting Review\n- Disbursement Authorization\n- Post-Disbursement Monitoring\n\nEach Portal Task defines what parts of the microsite are active or inactive for a given user operation context (e.g., user profiles, workflow stage, product type etc.).\n\nIt does not define who can access what (that’s the role of Access Control), but what the user sees and interacts with at this task stage — driven entirely by configuration.\n\n### Purpose\n\nThe goal is to integrate a config-driven orchestration layer that allows the frontend to:\n\n- Dynamically control UI structure (tabs, buttons, and sections)\n- Adjust UI behavioral state (enabled/disabled/visible/default tab)\n- Respond to process stages (e.g., data entry, verification, authorization)\n\nThis ensures the same microsite can host multiple Portal Tasks across products and stages, while the Portal Task configuration determines what appears on screen.\n\n### API Endpoints\n\n#### 1. Menu Access Control\n\n##### GET `/menu-access-controls?userId=user_id`\n\nFetch all authorized menu items for the user.\n\n**Example Response:**\n\n```json\n[\n {\n \"menuName\": \"lookUpCategoryMaster\"\n },\n {\n \"menuName\": \"lookUpCodeMaster\"\n },\n {\n \"menuName\": \"taxMaster\"\n },\n {\n \"menuName\": \"login\"\n },\n {\n \"menuName\": \"applicationDataEntry\"\n },\n {\n \"menuName\": \"underwriting\"\n },\n {\n \"menuName\": \"disbursementAuthorization\"\n }\n]\n```\n\n---\n\n#### 2. Portal Access Control (Component Level)\n\n##### GET `/portal-access-controls?userId=user_id&applicationNumber=app_number&lan=lan_id&portalTask=task_name`\n\n**Required Parameters:**\n\n- `userId` (mandatory)\n- Either `applicationNumber` OR `lan` (one is required). If any of these is not available, then don't call this endpoint.\n\nFetch component-level access controls for tabs and buttons.\n\n**Example Response:**\n\n```json\n[\n {\n \"componentId\": \"applicant-tab\",\n \"isVisible\": true,\n \"isEditable\": false,\n \"isDisabled\": false,\n \"isDefault\": true, //only for tab component\n \"components\": [\n {\n \"componentId\": \"add-applicant-button\",\n \"isVisible\": true,\n \"isEditable\": true,\n \"isDisabled\": false\n },\n {\n \"componentId\": \"all-applicants-table\",\n \"columns\": [\n {\n \"columnId\": \"delete-applicant-column\",\n \"isVisible\": false,\n \"isDisabled\": true\n }\n ]\n },\n {\n \"componentId\": \"applicant-individual-tab\",\n \"isVisible\": true,\n \"isEditable\": true,\n \"isDisabled\": false,\n \"isDefault\": true,\n \"components\": [\n {\n \"componentId\": \"save-individual-applicant-button\",\n \"isVisible\": true,\n \"isEditable\": true,\n \"isDisabled\": false\n }\n ]\n },\n {\n \"componentId\": \"applicant-entity-tab\",\n \"isVisible\": true,\n \"isEditable\": false,\n \"isDisabled\": true,\n \"isDefault\": false\n }\n ]\n }\n]\n```\n\n---\n\n### Implementation Flow\n\n#### 1. Application Initialization\n\n```\n1. User Login\n2. Get userId from /userinfo\n3. Fetch Menu Access Controls (and pass userId)\n4. Render Sidebar Navigation by only showing those menu items which the user has access to.\n```\n\n#### 2. Menu Navigation Flow\n\n```\n1. User opens any application/LAN from any menu item (queue)\n2. Fetch Portal Access Controls (using userId + applicationNumber/lan)\n3. Render Tabs & Components by only showing those tabs/components which the user has access to.\n```\n\n---\n","filename":"15 - Visibility Controls Implementation in Renderer.md","format":"Markdown","order":15,"title":""},{"content":"## Config Studio - Micro Frontend Integration Approach\n\n### Document Version\n\n- **Version**: 1.0\n- **Date**: December 16, 2025\n- **Status**: Pending Confirmation\n\n---\n\n### Objective\n\nThis document outlines the approach for creating **config-studio**, a micro frontend shell application that integrates **ui-configurator**, **workflow-designer**, and **rule-designer** into a unified platform with employee authentication, workspace management, and portal configuration capabilities.\n\n---\n\n### Current Context & Architecture Analysis\n\n#### Existing Projects Overview\n\n| Project | Package Name | Port | Entry Route | Key Purpose |\n| --------------------- | ------------------------- | ---- | ------------- | -------------------------------------------------- |\n| **ui-configurator** | `@rahi/ui-builder` | 3000 | `/workspaces` | Page/Microsite builder, Access Controls |\n| **workflow-designer** | `@rahi/workflow-designer` | 3003 | `/workflows` | Visual workflow editor |\n| **rule-designer** | `@rule/rule-designer` | 3004 | `/rulesets` | Decision table & rule builder |\n| **portal-ui** | `@rahi/portal-ui` | 3002 | `/login` | End-user portal (shell consuming web-renderer-lib) |\n| **web-renderer-lib** | `@rahi/web-renderer-lib` | N/A | N/A | Shared library for rendering microsites |\n\n#### Technology Stack (Consistent Across Projects)\n\n| Aspect | Version/Technology |\n| ---------------- | --------------------------------------------------------- |\n| Framework | Next.js 15.x (App Router) |\n| React | 19.2.3 |\n| Styling | SCSS Modules |\n| State Management | React Context API |\n| Build Output | Standalone (`output: \"standalone\"`) |\n| Configuration | External config via `/api/config` (reads `co.properties`) |\n| Authentication | Keycloak-based auth service (as seen in portal-ui) |\n\n#### Backend API Structure\n\n- **Base URL Pattern**: `api..rahi.cloud` (e.g., `api.dev.rahi.cloud`, `api.demo.rahi.cloud`)\n- **Auth Endpoints**: `/api/v2/auth/login`, `/api/v1/userinfo`\n- **Microservice Architecture**: All services share the same base path\n\n#### Authentication Flow (From portal-ui)\n\n```\n1. User submits credentials → POST /api/v2/auth/login\n2. If TOTP/OTP required → ACTION_REQUIRED response\n3. On success → access_token set as HTTP-only cookie by backend\n4. Fetch user info → GET /api/v1/userinfo?userName= (with credentials: include)\n5. Store user info in sessionStorage → global.login.userDetails (for UI display only)\n```\n\n**Note:** Auth tokens are managed via HTTP-only cookies set by the backend. The UI does not have direct access to the token - it simply includes `credentials: 'include'` in API requests, and the browser automatically sends the cookie.\n\n---\n\n### Integration Approach: Native Module Federation (Minimal Dependencies)\n\n#### Why This Approach?\n\nBased on the need to minimize dependency on Next.js or third-party libraries, we'll implement a **Native Module Federation** approach using:\n\n1. **Webpack 5's built-in Module Federation** (no `@module-federation/nextjs-mf` plugin)\n2. **Dynamic imports with React.lazy()** for loading remote components\n3. **Custom runtime loading** via script injection\n4. **Shared context providers** passed as props\n\nThis approach gives us:\n\n- Independent deployments\n- No additional npm dependencies for federation\n- Full control over loading and error handling\n- Works with existing Next.js standalone output\n\n---\n\n### Architecture Diagram\n\n```\n┌─────────────────────────────────────────────────────────────────────────────┐\n│ CONFIG-STUDIO (Shell) │\n│ Port: 3001 │\n├─────────────────────────────────────────────────────────────────────────────┤\n│ ┌─────────────────────────────────────────────────────────────────────┐ │\n│ │ Shell Features │ │\n│ │ • Employee Login (Keycloak Auth) │ │\n│ │ • Workspace Management (moved from ui-configurator) │ │\n│ │ • Portal Menu Configurator (moved from ui-configurator) │ │\n│ │ • Portal Access Control Configurator (moved from ui-configurator) │ │\n│ │ • Unified Header with App Switcher (moved from rule-designer) │ │\n│ │ • Session Management & Auth Guard │ │\n│ └─────────────────────────────────────────────────────────────────────┘ │\n│ │ │\n│ ┌─────────────────────────────────┼─────────────────────────────────────┐ │\n│ │ Remote Application Loader │ │\n│ │ (Dynamic iframe-less embedding via script injection) │ │\n│ └─────────────────────────────────┼─────────────────────────────────────┘ │\n│ │ │\n│ ┌──────────────────────────┼──────────────────────────┐ │\n│ ▼ ▼ ▼ │\n│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │\n│ │UI-CONFIGURATOR. │ │WORKFLOW-DESIGNER│ │ RULE-DESIGNER │ │\n│ │ (Remote App) │ │ (Remote App) │ │ (Remote App) │ │\n│ │ │ │ │ │ │ │\n│ │ /ui/* │ │ /workflows/* │ │ /rules/* │ │\n│ │ Port: 3000 │ │ Port: 3003 │ │ Port: 3004 │ │\n│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │\n└─────────────────────────────────────────────────────────────────────────────┘\n │\n ▼\n┌─────────────────────────────────────────────────────────────────────────────┐\n│ BACKEND MICROSERVICES │\n│ api..rahi.cloud │\n└─────────────────────────────────────────────────────────────────────────────┘\n```\n\n---\n\n### Config-Studio Project Structure\n\n```\nconfig-studio/\n├── public/\n│ └── health/\n│ └── index.html\n├── src/\n│ ├── app/\n│ │ ├── globals.css\n│ │ ├── layout.tsx # Root layout (no auth check)\n│ │ ├── api/\n│ │ │ └── config/\n│ │ │ └── route.ts # Config endpoint\n│ │ ├── (auth)/ # Auth route group (public)\n│ │ │ ├── layout.tsx\n│ │ │ └── login/\n│ │ │ └── page.tsx # Employee login page\n│ │ └── (protected)/ # Protected route group\n│ │ ├── layout.tsx # Auth guard + shell layout\n│ │ ├── page.tsx # Dashboard/redirect\n│ │ ├── workspaces/\n│ │ │ ├── page.tsx # Workspace list (moved from ui-configurator)\n│ │ │ └── [workspaceCode]/\n│ │ │ ├── page.tsx # Workspace dashboard with app cards\n│ │ │ ├── configure/\n│ │ │ │ └── [...path]/\n│ │ │ │ └── page.tsx # UI Configurator remote loader\n│ │ │ ├── workflows/\n│ │ │ │ └── [...path]/\n│ │ │ │ └── page.tsx # Workflow Designer remote loader\n│ │ │ └── rules/\n│ │ │ └── [...path]/\n│ │ │ └── page.tsx # Rule Designer remote loader\n│ │ ├── portal-menu/\n│ │ │ └── page.tsx # Portal menu configurator\n│ │ └── access-control/\n│ │ └── page.tsx # Portal access control configurator\n│ ├── components/\n│ │ ├── AppShell/ # Main shell with header + sidebar\n│ │ │ ├── AppShell.tsx\n│ │ │ └── AppShell.module.scss\n│ │ ├── Header/\n│ │ │ ├── Header.tsx\n│ │ │ └── Header.module.scss\n│ │ ├── Sidebar/\n│ │ │ ├── Sidebar.tsx\n│ │ │ └── Sidebar.module.scss\n│ │ ├── WorkspaceSwitcher/\n│ │ │ └── WorkspaceSwitcher.tsx\n│ │ ├── AppSwitcher/ # Switch between configure/workflows/rules\n│ │ │ └── AppSwitcher.tsx\n│ │ ├── RemoteAppLoader/ # Dynamic remote app loader\n│ │ │ ├── RemoteAppLoader.tsx\n│ │ │ └── RemoteAppLoader.module.scss\n│ │ ├── AuthGuard/\n│ │ │ └── AuthGuard.tsx\n│ │ ├── LoginForm/ # Adapted from portal-ui\n│ │ │ ├── LoginForm.tsx\n│ │ │ └── LoginForm.module.scss\n│ │ ├── WorkspaceCard/\n│ │ │ └── WorkspaceCard.tsx\n│ │ ├── SVGIcons/\n│ │ │ └── [icons].tsx\n│ │ ├── UserNotification/\n│ │ │ └── UserNotification.tsx\n│ │ └── Tooltip/\n│ │ └── Tooltip.tsx\n│ ├── contexts/\n│ │ ├── AuthContext.tsx # Authentication state\n│ │ ├── ConfigContext.tsx # App configuration\n│ │ ├── WorkspaceContext.tsx # Current workspace state\n│ │ └── HeaderContext.tsx # Header state management\n│ ├── services/\n│ │ ├── APIService.ts # Unified API service\n│ │ ├── AuthService.ts # Authentication service\n│ │ └── WorkspaceService.ts # Workspace CRUD operations\n│ ├── hooks/\n│ │ ├── useAuth.ts\n│ │ ├── useWorkspace.ts\n│ │ └── useRemoteApp.ts # Hook for loading remote apps\n│ ├── types/\n│ │ └── types.ts\n│ ├── utils/\n│ │ ├── properties-parser.ts\n│ │ ├── constants.ts\n│ │ └── remoteLoader.ts # Script injection for remotes\n│ ├── fonts/\n│ │ └── baseFonts.ts\n│ └── styles/\n│ └── shared.module.scss\n├── Dockerfile\n├── jenkinsfile\n├── jest.config.ts\n├── jest.setup.ts\n├── next.config.ts\n├── package.json\n├── sonar-project.properties\n└── tsconfig.json\n```\n\n---\n\n### Remote App Integration Strategy\n\n#### Approach: Reverse Proxy + Shared Session\n\nSince we want minimal federation dependencies, we'll use a **reverse proxy pattern** where:\n\n1. **Config-studio acts as the primary entry point**\n2. **Remote apps are loaded via Next.js rewrites** (proxied through config-studio)\n3. **Session/auth state is shared via cookies and sessionStorage**\n4. **Each app maintains its own bundle but shares the shell's layout**\n\n#### next.config.ts (Config-Studio)\n\n```typescript\nimport type { NextConfig } from \"next\";\nconst path = require(\"path\");\n\nconst nextConfig: NextConfig = {\n output: \"standalone\",\n outputFileTracingRoot: path.join(__dirname, \"..\"),\n reactStrictMode: false,\n sassOptions: {\n silenceDeprecations: [\"legacy-js-api\"],\n },\n async rewrites() {\n return {\n beforeFiles: [\n // Proxy to UI Configurator (pages, microsites, user-tasks)\n {\n source: \"/workspaces/:workspaceCode/ui/:path*\",\n destination: `${\n process.env.UI_CONFIGURATOR_URL || \"http://localhost:3000\"\n }/workspaces/:workspaceCode/:path*`,\n },\n // Proxy to Workflow Designer\n {\n source: \"/workspaces/:workspaceCode/workflows/:path*\",\n destination: `${\n process.env.WORKFLOW_DESIGNER_URL || \"http://localhost:3003\"\n }/workspaces/:workspaceCode/workflows/:path*`,\n },\n // Proxy to Rule Designer\n {\n source: \"/workspaces/:workspaceCode/rules/:path*\",\n destination: `${\n process.env.RULE_DESIGNER_URL || \"http://localhost:3004\"\n }/workspaces/:workspaceCode/rulesets/:path*`,\n },\n ],\n };\n },\n async redirects() {\n return [\n {\n source: \"/\",\n destination: \"/login\",\n permanent: false,\n },\n ];\n },\n};\n\nexport default nextConfig;\n```\n\n---\n\n### Modifications Required to Existing Projects\n\n#### 1. UI-Configurator Changes\n\n##### a) Remove Workspace Management (Move to config-studio)\n\n- Move `/workspaces` page and related components to config-studio\n- Keep only the page/microsite/user-task builder functionality\n\n##### b) Update Route Structure\n\n- Current: `/workspaces/[workspaceCode]/pages`\n- New: Accept workspace code from parent context or URL parameter\n\n##### c) Make Layout Embeddable\n\n```tsx\n// ui-configurator/src/app/layout.tsx\n// Remove and tags when embedded\nexport default function RootLayout({\n children,\n}: {\n children: React.ReactNode;\n}) {\n const isEmbedded = typeof window !== \"undefined\" && window.parent !== window;\n\n if (isEmbedded) {\n return <>{children}; // No html/body wrapper\n }\n\n return (\n \n \n {/* ... existing providers ... */}\n {children}\n \n \n );\n}\n```\n\n##### d) Authentication Handling\n\nNo changes required for auth token handling. Authentication is managed via **HTTP-only cookies** set by the backend auth service. All API requests automatically include cookies when `credentials: 'include'` is set, which is already the pattern used across all apps.\n\n#### 2. Workflow-Designer Changes\n\n##### a) Update Route Structure to be Workspace-Aware\n\n- Current: `/workflows`, `/workflows/[workflowCode]/edit`\n- New: `/workspaces/[workspaceCode]/workflows`, `/workspaces/[workspaceCode]/workflows/[workflowCode]/edit`\n- Workflow APIs will filter by workspace context\n\n##### b) Add Workspace Context Support\n\n```tsx\n// workflow-designer/src/contexts/WorkspaceContext.tsx\n\"use client\";\nimport { createContext, useContext, ReactNode } from \"react\";\nimport { useParams } from \"next/navigation\";\n\ninterface WorkspaceContextType {\n workspaceCode: string | null;\n}\n\nconst WorkspaceContext = createContext({\n workspaceCode: null,\n});\n\nexport const useWorkspace = () => useContext(WorkspaceContext);\n\nexport const WorkspaceProvider = ({ children }: { children: ReactNode }) => {\n const { workspaceCode } = useParams();\n return (\n \n {children}\n \n );\n};\n```\n\n##### c) Make Layout Embeddable\n\n```tsx\n// workflow-designer/src/app/layout.tsx\n// Remove and tags when embedded\nexport default function RootLayout({\n children,\n}: {\n children: React.ReactNode;\n}) {\n const isEmbedded = typeof window !== \"undefined\" && window.parent !== window;\n\n if (isEmbedded) {\n return <>{children};\n }\n\n return (\n \n \n {/* ... existing providers ... */}\n {children}\n \n \n );\n}\n```\n\n##### d) Remove Standalone Header\n\n- Header will be hidden when embedded, as shell provides unified header\n- Use a prop or environment check to conditionally render header\n\n##### e) Authentication Handling\n\nNo changes required for auth token handling. Authentication is managed via **HTTP-only cookies** set by the backend auth service.\n\n#### 3. Rule-Designer Changes\n\n##### a) Update Route Structure to be Workspace-Aware\n\n- Current: `/rulesets`, `/rulesets/[rulesetID]/[version]/edit`\n- New: `/workspaces/[workspaceCode]/rulesets`, `/workspaces/[workspaceCode]/rulesets/[rulesetID]/[version]/edit`\n- Ruleset APIs will filter by workspace context\n\n##### b) Add Workspace Context Support\n\n```tsx\n// rule-designer/src/contexts/WorkspaceContext.tsx\n\"use client\";\nimport { createContext, useContext, ReactNode } from \"react\";\nimport { useParams } from \"next/navigation\";\n\ninterface WorkspaceContextType {\n workspaceCode: string | null;\n}\n\nconst WorkspaceContext = createContext({\n workspaceCode: null,\n});\n\nexport const useWorkspace = () => useContext(WorkspaceContext);\n\nexport const WorkspaceProvider = ({ children }: { children: ReactNode }) => {\n const { workspaceCode } = useParams();\n return (\n \n {children}\n \n );\n};\n```\n\n##### c) Make Layout Embeddable\n\n```tsx\n// rule-designer/src/app/layout.tsx\n// Remove and tags when embedded\nexport default function RootLayout({\n children,\n}: {\n children: React.ReactNode;\n}) {\n const isEmbedded = typeof window !== \"undefined\" && window.parent !== window;\n\n if (isEmbedded) {\n return <>{children};\n }\n\n return (\n \n \n {/* ... existing providers ... */}\n {children}\n \n \n );\n}\n```\n\n##### d) Remove Standalone Header\n\n- Header component already exists in rule-designer\n- Move Header to config-studio shell (it will be the unified header)\n- Use a prop or environment check to conditionally render header when running standalone\n\n##### e) Authentication Handling\n\nNo changes required for auth token handling. Authentication is managed via **HTTP-only cookies** set by the backend auth service.\n\n---\n\n### Authentication Flow in Config-Studio\n\n#### AuthContext Implementation\n\n```tsx\n// contexts/AuthContext.tsx\n\"use client\";\nimport {\n createContext,\n useContext,\n useState,\n useEffect,\n ReactNode,\n useMemo,\n} from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { apiRequest } from \"@/services/APIService\";\nimport { useConfig } from \"./ConfigContext\";\n\ninterface User {\n userId: string;\n userName: string;\n firstName: string;\n lastName?: string;\n loginId: string;\n}\n\ninterface AuthContextType {\n user: User | null;\n isAuthenticated: boolean;\n isLoading: boolean;\n login: (userName: string, password: string, otp?: string) => Promise;\n logout: () => void;\n}\n\nconst AuthContext = createContext(null);\n\nexport const useAuth = () => {\n const context = useContext(AuthContext);\n if (!context) throw new Error(\"useAuth must be used within AuthProvider\");\n return context;\n};\n\nexport const AuthProvider = ({ children }: { children: ReactNode }) => {\n const [user, setUser] = useState(null);\n const [isLoading, setIsLoading] = useState(true);\n const { config } = useConfig();\n const router = useRouter();\n\n useEffect(() => {\n // Check for existing session on mount\n // Auth tokens are managed via HTTP-only cookies (set by backend)\n // We only store user info in sessionStorage for UI purposes\n const storedUser = sessionStorage.getItem(\"global.login.userDetails\");\n\n if (storedUser) {\n setUser(JSON.parse(storedUser));\n }\n setIsLoading(false);\n }, []);\n\n const login = async (userName: string, password: string, otp?: string) => {\n const body: Record = {\n userName,\n credential: password,\n credentialType: \"password\",\n };\n if (otp) body.totp = otp;\n\n const loginResponse = await apiRequest({\n endpoint: `${config?.NEXT_PUBLIC_BASE_URL}/api/v2/auth/login`,\n method: \"POST\",\n headers: { \"x-user-type\": \"employee\" },\n body,\n });\n\n if (loginResponse.ACTION_REQUIRED) {\n throw new Error(loginResponse.ACTION_REQUIRED);\n }\n\n // Auth token is automatically set as HTTP-only cookie by the login response\n // Subsequent requests include the cookie automatically with credentials: 'include'\n const userInfo = await apiRequest({\n endpoint: `${config?.NEXT_PUBLIC_BASE_URL}/api/v1/userinfo?userName=${loginResponse.username}`,\n method: \"GET\",\n credentials: \"include\",\n headers: {\n \"x-user-type\": \"employee\",\n },\n });\n\n const userData: User = {\n userId: userInfo.userId,\n userName: loginResponse.username,\n firstName: userInfo.firstName,\n lastName: userInfo.lastName,\n loginId: userInfo.loginId,\n };\n\n // Store user info for UI display purposes only\n // Auth token is managed as HTTP-only cookie by the backend\n sessionStorage.setItem(\n \"global.login.userDetails\",\n JSON.stringify(userData)\n );\n\n setUser(userData);\n router.push(\"/workspaces\");\n };\n\n const logout = async () => {\n // Call backend logout endpoint to clear HTTP-only cookie\n await apiRequest({\n endpoint: `${config?.NEXT_PUBLIC_BASE_URL}/api/v2/auth/logout`,\n method: \"POST\",\n credentials: \"include\",\n });\n sessionStorage.removeItem(\"global.login.userDetails\");\n setUser(null);\n router.push(\"/login\");\n };\n\n const value = useMemo(\n () => ({\n user,\n isAuthenticated: !!user,\n isLoading,\n login,\n logout,\n }),\n [user, isLoading]\n );\n\n return {children};\n};\n```\n\n---\n\n### Routing Strategy\n\n#### URL Structure\n\n| Route | Description | Source |\n| ---------------------------------------------- | ------------------------ | ------------------------------------------ |\n| `/login` | Employee login page | config-studio |\n| `/workspaces` | Workspace list | config-studio (moved from ui-configurator) |\n| `/workspaces/:code` | Workspace dashboard | config-studio (moved from ui-configurator) |\n| `/workspaces/:code/ui/pages` | Page builder | ui-configurator (proxied) |\n| `/workspaces/:code/ui/microsites` | Microsite builder | ui-configurator (proxied) |\n| `/workspaces/:code/workflows` | Workflow list | workflow-designer (proxied) |\n| `/workspaces/:code/workflows/:id/edit` | Workflow editor | workflow-designer (proxied) |\n| `/workspaces/:code/rulesets` | Ruleset list | rule-designer (proxied) |\n| `/workspaces/:code/rulesets/:id/:version/edit` | Rule editor | rule-designer (proxied) |\n| `/portal-menu` | Portal menu configurator | config-studio (moved from ui-configurator) |\n| `/access-control` | Portal access control | config-studio (moved from ui-configurator) |\n\n---\n\n### Shared Components Strategy\n\n#### Components to Share (via npm package or copy)\n\n| Component | Source | Target |\n| ------------------ | ------------------------- | -------------------------------------- |\n| `Header` | Unified in config-studio | All apps use shell header |\n| `UserNotification` | All projects have similar | Keep in each, or create shared package |\n| `Tooltip` | All projects have similar | Keep in each |\n| `SVGIcons` | All projects have similar | Keep in each |\n| `InlineLoader` | All projects have similar | Keep in each |\n\n#### Recommendation\n\nFor now, **keep shared components in each project** to avoid creating a new shared package. Once config-studio is stable, we can extract common components into `@rahi/config-studio-ui` package.\n\n---\n\n### Environment Configuration\n\n#### co.properties (Config-Studio)\n\n```properties\nNEXT_PUBLIC_BASE_URL=https://api.dev.rahi.cloud\nNEXT_PUBLIC_CONFIG_ENGINE_BASE_URL=https://api.dev.rahi.cloud\nNEXT_PUBLIC_UI_CONFIGURATOR_URL=http://ui-configurator:3000\nNEXT_PUBLIC_WORKFLOW_DESIGNER_URL=http://workflow-designer:3003\nNEXT_PUBLIC_RULE_DESIGNER_URL=http://rule-designer:3004\n```\n\n---\n\n### Implementation Phases\n\n#### Phase 1: Config-Studio Shell\n\n1. Create config-studio Next.js project with folder structure\n2. Implement authentication (login page, AuthContext, AuthGuard)\n3. Set up ConfigContext with `/api/config` endpoint\n4. Create basic shell layout (Header, Sidebar)\n5. Implement workspace list page (moved from ui-configurator)\n6. Create workspace dashboard with app cards\n\n#### Phase 2: Remote App Integration\n\n1. Configure Next.js rewrites for proxying to remote apps\n2. Update ui-configurator to accept workspace from URL/context\n3. Update workflow-designer for embedding\n4. Update rule-designer for embedding\n5. Test navigation between apps\n\n#### Phase 3: Portal Configurators\n\n1. Move access-controls-configurator from ui-configurator\n2. Create portal menu configurator\n3. Integrate with backend APIs\n\n#### Phase 4: Polish & Testing\n\n1. E2E testing of full flow\n2. Error handling and loading states\n3. Performance optimization\n4. Documentation\n\n---\n\n### Key Decisions Summary\n\n| Decision | Choice | Rationale |\n| -------------------- | ----------------------------- | ----------------------------------------------- |\n| Federation Approach | Next.js Rewrites (Proxy) | Minimal dependencies, works with existing setup |\n| Auth | Keycloak (existing) | Already implemented in portal-ui |\n| Session Storage | sessionStorage + cookies | Consistent with portal-ui implementation |\n| Workspace Management | Move to config-studio | Single source of truth for workspaces |\n| Shared Components | Keep duplicated for now | Reduce complexity, refactor later |\n| Header | Shell provides unified header | Consistent UX across all apps |\n","filename":"16 - Micro-Frontend Approach.md","format":"Markdown","order":16,"title":""},{"content":"## Page as First-Class Citizens: Independent Pages inside a Microsite\n\n### Document Version\n\n- **Version**: 1.0\n- **Date**: December 31, 2025\n- **Status**: Pending Confirmation\n- **Author**: Priyansh Dwivedi\n\n### Objective\n\nThis document defines a structural and architectural shift where Pages become first-class, independently persisted entities, while Microsites act as lightweight orchestration shells.\n\nThe primary objectives are:\n\n- Enable progressive, on-demand rendering of pages and tabs.\n- Reduce frontend time-to-first-render.\n- Decouple page lifecycle from microsite lifecycle.\n- Establish a foundation for future page reuse without introducing it prematurely.\n\n### Current Context & Architecture Analysis\n\nIn the current system:\n\n- Pages are embedded directly inside the microsite DSL.\n- Tabs embed page-like structures but are not real pages.\n- Rendering requires fetching the entire microsite DSL upfront, regardless of what the user actually views.\n\nThis leads to:\n\n- Increased payload size.\n- Slower initial render times.\n- Poor scalability as microsites grow in size.\n- Tight coupling between authoring, persistence, and rendering concerns.\n\n### Approach: Independent Page Persistence and Lazy Rendering\n\n#### Backend Modifications\n\nNew `pages` Collection\n\nA new backend collection `pages` will be introduced.\n\nEach Page will have:\n\n- Page ID (FQDN identifier) (Eg: `micrositeCode_pageCode`)\n- Unique identifier (page code)\n- SEO Metadata:\n - Title\n - Description\n - Keywords\n - Author\n- DSL defining layout and components (same as current implementation)\n\nMicrosite documents will not store page DSL.\n\n#### Microsite as a Container\n\nMicrosite persistence will change to:\n\n- Store references to pages:\n - Page ID\n- Store microsite-level metadata only:\n - Microsite name\n - Microsite code\n - Description\n - Source System\n - Access Controlled flag\n - Order of pages\n\nNo component DSL will exist inside microsite documents.\n\n#### Page as a Tab (Structural Alignment)\n\nTabs are redefined as page selectors.\n\n- Each Tab references exactly one Page.\n- Tabs do not contain nested components.\n- Switching tabs triggers a page load, not a component swap.\n\nThis ensures a single abstraction for navigation:\n\n- Page navigation at microsite level\n- Page navigation within tabs\n\n#### Page Loading on Demand\n\nRendering behavior changes fundamentally:\n\n- Only the active page DSL is fetched and rendered.\n- Inactive pages are not fetched.\n- Tabs load their associated page only when activated.\n\nExample Flow\n\nWhen the user opens the Application Data Entry microsite:\n\n- Microsite shell loads with all page references.\n- The first page's DSL is fetched and rendered.\n- That page contains a Tabs component.\n- Only the active tab’s page is fetched and rendered.\n- Switching tabs triggers a page fetch and render cycle.\n\n### Changes in ui-configurator\n\n#### Create/Edit a Microsite\n\n1. Create a new microsite or open an existing microsite version.\n2. Fetch microsite metadata and page references only.\n3. Load and render the first page DSL.\n4. Render subsequent pages only on user navigation.\n\n#### Page Navigation within Microsite\n\n- Pages are displayed as navigational items (top bar or structure panel).\n - Clicking a page:\n - Fetches that page’s DSL.\n- Replaces the editor canvas with the new page.\n\nPage switching does not reinitialize the microsite context.\n\n#### Page / Microsite DSL Persistence Rules\n\n**Page Creation**\n\n- User creates a new page inside a microsite.\n- Call /pages API to persist the page independently.\n- Update microsite document to reference the new page.\n\n**Page Update**\n\n- Page edits mark the page as modified locally.\n- No immediate backend persistence is required.\n\n**Page Deletion (from Microsite)**\n\n- Remove page reference from microsite.\n- Page itself remains persisted (orphaned handling is out of scope).\n\n**Save Microsite CTA**\n\nOn clicking Save Microsite:\n\n- Persist all modified pages via /pages API.\n- Persist the microsite with updated page references.\n- Clear modified state for all pages after successful save.\n\nThis preserves atomicity while maintaining independence.\n\n### Changes in web-renderer-lib\n\n#### Renderer Callback Contract\n\nRenderer becomes page-agnostic and event-driven.\n\n**Callback Behavior**\n\n- User navigates to a page or switches a tab.\n- Renderer triggers a callback:\n - { type: \"PAGE_REQUEST\", pageId }\n- Portal fetches the requested page DSL.\n- Portal sends DSL back to renderer.\n- Renderer renders the page or injects it into the tab container.\n\nRenderer never fetches pages directly.\n\n#### Rendering Guarantees\n\n- Renderer handles one page at a time.\n- Previous page state is destroyed unless cached explicitly.\n- Tabs are treated as page viewports, not layout containers.\n\n### Assumptions\n\n- Users can only create new pages inside a microsite.\n- Pages cannot be browsed, edited, or attached independently.\n- Tabs can only reference pages created within the same microsite.\n- Renderer callback latency is acceptable for page switching UX.\n\n### Expected Outcomes\n\n- Reduced initial payload size.\n- Faster time-to-first-render.\n- Predictable rendering lifecycle.\n- Clear separation of concerns between microsite orchestration and page content.\n- A stable foundation for future reuse and scalability.\n\nThis approach deliberately prioritizes architectural correctness over feature breadth, ensuring the system evolves without compounding technical debt.\n","filename":"17 - Independent Pages inside a Microsite.md","format":"Markdown","order":17,"title":""},{"content":"## Component ID Convention\n\n### Overview\n\nThis document defines the standardized naming convention for UI components within the Page Configurator and Micro-site Configurator. A consistent naming scheme ensures predictable component identification, easier debugging, clear session key mapping, and maintainable page configurations.\n\n---\n\n### Naming Convention Structure\n\n#### Format\n\n```\nco....\n```\n\n#### Segments\n\n| Segment | Description | Example |\n| ------------------ | ----------------------------------------------------------------------------- | -------------------------------- |\n| `co` | Constant prefix indicating a component identifier | `co` |\n| `` | Organization or tenant identifier | `rahi` |\n| `` | Unique slug/code for the page (derived from page title) | `application-data-entry` |\n| `` | The type of component in kebab-case | `workflow-stage`, `tabs`, `form` |\n| `` | Sequential number for components of the same type at the same hierarchy level | `1`, `2`, `3` |\n\n---\n\n### Hierarchical Naming Rules\n\n#### Parent-Child Relationship\n\nChild components inherit their parent's full path and append their own `.` segment.\n\n```\n..\n```\n\n#### Serial Number Scope\n\n- Serial numbers are **scoped to the parent container** and **component type**\n- Each component type starts its own counter within a parent\n- Numbering starts at `1` and increments sequentially\n\n#### Nesting Depth\n\nComponents can be nested to any depth. The naming path reflects the complete hierarchy from the page root to the component.\n\n---\n\n### Examples\n\n#### Page: `application-data-entry`\n\n##### Root-Level Components (Flat List)\n\n```\nco.rahi.application-data-entry.workflow-stage.1\nco.rahi.application-data-entry.spacer.1\nco.rahi.application-data-entry.data-grid.1\nco.rahi.application-data-entry.spacer.2\nco.rahi.application-data-entry.tabs.1\n```\n\n##### Nested Components (Hierarchical View)\n\n```\nco.rahi.application-data-entry.tabs.1\n ├── co.rahi.application-data-entry.tabs.1.tab.1\n ├── co.rahi.application-data-entry.tabs.1.tab.2\n │ └── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1\n │ └── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1\n │ ├── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1\n │ │ ├── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.stack.1\n │ │ │ ├── ...stack.1.heading.1\n │ │ │ └── ...stack.1.stack.1\n │ │ │ ├── ...stack.1.stack.1.button-v2.1\n │ │ │ └── ...stack.1.stack.1.button-v2.2\n │ │ └── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.table.1\n │ │ ├── ...table.1.column.1\n │ │ ├── ...table.1.column.2\n │ │ └── ...table.1.column.n\n │ ├── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2\n │ │ ├── ...sub-section.2.form.1\n │ │ │ └── ...form.1.sub-section.1\n │ │ │ ├── ...sub-section.1.spacer.1\n │ │ │ └── ...sub-section.1.form-row.1\n │ │ │ ├── ...form-row.1.select.1\n │ │ │ ├── ...form-row.1.select.2\n │ │ │ ├── ...form-row.1.select.3\n │ │ │ └── ...form-row.1.input.1\n │ │ ├── ...sub-section.2.spacer.1\n │ │ └── ...sub-section.2.button-v2.1\n │ └── co.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.3\n ├── co.rahi.application-data-entry.tabs.1.tab.3\n └── co.rahi.application-data-entry.tabs.1.tab.n\n```\n\n##### Fully Qualified Names (Flat List)\n\n```\nco.rahi.application-data-entry.workflow-stage.1\nco.rahi.application-data-entry.spacer.1\nco.rahi.application-data-entry.data-grid.1\nco.rahi.application-data-entry.spacer.2\nco.rahi.application-data-entry.tabs.1\nco.rahi.application-data-entry.tabs.1.tab.1\nco.rahi.application-data-entry.tabs.1.tab.2\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.stack.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.stack.1.heading.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.stack.1.stack.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.stack.1.stack.1.button-v2.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.stack.1.stack.1.button-v2.2\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.table.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.table.1.column.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.table.1.column.2\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.1.table.1.column.n\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1.spacer.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1.form-row.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1.form-row.1.select.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1.form-row.1.select.2\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1.form-row.1.select.3\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.form.1.sub-section.1.form-row.1.input.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.spacer.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.2.button-v2.1\nco.rahi.application-data-entry.tabs.1.tab.2.sub-section.1.sub-section.1.sub-section.3\nco.rahi.application-data-entry.tabs.1.tab.n\n```\n\n---\n\n### Naming Generation Algorithm\n\n```\nfunction generateComponentName(component, parent, siblingCounters, pageCode, org):\n prefix = \"co\"\n\n if parent is null:\n basePath = `${prefix}.${org}.${pageCode}`\n else:\n basePath = parent.name\n\n componentType = component.type\n\n if siblingCounters[componentType] is undefined:\n siblingCounters[componentType] = 0\n\n siblingCounters[componentType] += 1\n serialNumber = siblingCounters[componentType]\n\n return `${basePath}.${componentType}.${serialNumber}`\n```\n\n---\n\n### Migration from UUID-Based IDs\n\nExisting pages using UUID-based component IDs (e.g., `fc62d696-e77c-44ce-8969-6f84bf84f912`) should be migrated to the new naming convention. The migration process:\n\n1. Traverse the component tree depth-first\n2. Generate new names using the algorithm above\n3. Update all references to the old IDs\n\n---\n\n### Summary\n\nThe component naming convention provides:\n\n- **Uniqueness**: Every component has a globally unique identifier\n- **Hierarchy**: Parent-child relationships are explicit in the name\n- **Readability**: Human-readable paths aid debugging and maintenance\n- **Consistency**: Standardized format across all pages and organizations\n- **Traceability**: Full path from root to any component is always available\n","filename":"18 - Component ID Convention.md","format":"Markdown","order":18,"title":""},{"content":"## Chart Component - Implementation Approach Document\n\n### 1. Overview\n\nThis document outlines the approach for implementing a new **Chart** component in the UI Configurator and Web Renderer Library ecosystem. The chart component will support multiple chart types and will be configurable through the UI Configurator, rendered via the Web Renderer Library (using `react-chartjs-2`).\n\n#### Supported Chart Types\n\n- **Bar** - Vertical/Horizontal bar charts\n- **Line** - Line charts with data points\n- **Doughnut** - Doughnut/ring charts\n- **Polar Area** - Polar area charts (Radar chart variant in Recharts)\n- **Pie** - Pie charts\n- **Bar+Line (Combo)** - Combined bar and line charts on the same axes\n\n---\n\n### 2. Architecture\n\n#### 2.1 Separation of Concerns\n\n| Layer | Responsibility | Library Used |\n| ------------------------ | -------------------------------------------------- | ------------------------------ |\n| **UI Configurator** | Component configuration, property editing, preview | No charting library |\n| **Web Renderer Library** | Actual chart rendering with full interactivity | Recharts |\n| **Portal UI** | Consumes web-renderer-lib, displays charts | Inherits from web-renderer-lib |\n\nThe UI Configurator will show a simplified preview of the chart (can be static placeholder or basic representation), while the actual chart rendering with all features will happen in the Web Renderer Library using Recharts.\n\n---\n\n### 3. Component Properties\n\n#### 3.1 New Enum Properties to Add\n\nThe following properties will be added to the ComponentProperty enum:\n\n**Basic Configuration:**\n\n- ChartType - Type of chart (bar, line, pie, doughnut, polarArea, combo)\n- ChartTitle - Title text for the chart\n- ShowChartTitle - Toggle title visibility\n\n**Dimensions:**\n\n- ChartWidth - Width of chart (percentage)\n- ChartHeight - Height of chart (pixels)\n\n**Data Configuration (Static):**\n\n- ChartData - Static data array for the chart\n\n**Data Configuration (API):**\n\n- IsFetchingFromApi - Toggle between static data and API source (existing property)\n- ApiUrl - API endpoint URL to fetch chart data (existing property)\n- ApiHeaders - HTTP headers for API request as JSON string (existing property)\n- ApiName - Name identifier for the API call (existing property)\n- Method - HTTP method: GET, POST (existing property)\n- RequestBodyType - Type of request body (existing property)\n- RequestBodySpecs - Request body specification for POST requests (existing property)\n- StoreDataInSession - Store fetched data in session storage (existing property)\n- DataPath - JSON path to navigate to data array in API response\n- LabelKey - Key for label values in data objects\n- ValueKey - Key for primary values in data objects\n- SecondaryValueKey - Key for secondary values (combo charts)\n- VisibleOnApiSuccess - Show chart only when API call succeeds (existing property)\n- LinkedForm - Link to form for API dependency (existing property)\n\n**Axis Configuration:**\n\n- XAxisLabel - Label for X-axis\n- YAxisLabel - Label for Y-axis\n- ChartOrientation - Vertical or horizontal orientation\n- ShowGrid - Toggle grid lines visibility\n\n**Legend & Labels:**\n\n- ShowLegend - Toggle legend visibility\n- LegendPosition - Position of legend (top, bottom, left, right)\n- ShowDataLabels - Toggle data labels on chart elements\n- ShowTooltip - Toggle tooltip on hover\n\n**Styling:**\n\n- CustomColorOverrides - Key-value pairs to override default palette colors (e.g., {\"0\": \"#FF5733\", \"2\": \"#33FF57\"} overrides 1st and 3rd colors)\n\n**Animation:**\n\n- EnableAnimation - Toggle chart animations\n- AnimationDuration - Animation duration in milliseconds\n\n**Chart-Type Specific:**\n\n- StackBars - Enable stacked bars (bar charts)\n- LineStyle - Line style: solid, dashed, dotted (line charts)\n- ShowDataPoints - Toggle data point markers (line charts)\n- FillArea - Fill area under line (line charts)\n- InnerRadius - Inner radius percentage for doughnut charts (0-90)\n\n#### 3.2 Component Properties Mapping\n\nThe chart component will use the following existing properties from the system:\n\n- Name, Label, ShowLabel (from TextPanel)\n- IsFetchingFromApi, ApiUrl, ApiHeaders, ApiName, StoreDataInSession (from DataPanel/ActionPanel)\n- IsConditionalComponent, VisibilityConditions (from ConditionalPanel)\n- VisibleOnApiSuccess, LinkedForm (from ActionPanel)\n\nAll chart-specific properties will be mapped to a new **ChartPanel**.\n\n---\n\n### 4. Data Structure\n\n#### 4.1 ChartComponent Interface\n\nThe ChartComponent interface will extend BaseComponent with the following properties structure:\n\n**Type:** \"chart\"\n\n**Properties Object:**\n\n- name (string, optional)\n- label (string, optional)\n- showLabel (boolean, optional)\n- chartType (enum: 'bar' | 'line' | 'doughnut' | 'polarArea' | 'pie' | 'combo')\n- chartTitle (string, optional)\n- showChartTitle (boolean, optional)\n- chartWidth (string, optional) - percentage value\n- chartHeight (number, optional) - pixels\n- isFetchingFromApi (boolean, optional)\n- apiUrl (string, optional)\n- apiHeaders (string, optional) - JSON string\n- apiName (string, optional)\n- method (enum: 'GET' | 'POST', optional)\n- requestBodyType (string, optional)\n- requestBodySpecs (string, optional) - JSON string for POST body\n- storeDataInSession (boolean, optional)\n- visibleOnApiSuccess (boolean, optional)\n- linkedForm (string, optional)\n- dataPath (string, optional)\n- labelKey (string, optional)\n- valueKey (string, optional)\n- secondaryValueKey (string, optional)\n- chartData (array of ChartDataPoint, optional)\n- xAxisLabel (string, optional)\n- yAxisLabel (string, optional)\n- chartOrientation (enum: 'vertical' | 'horizontal', optional)\n- showGrid (boolean, optional)\n- showLegend (boolean, optional)\n- legendPosition (enum: 'top' | 'bottom' | 'left' | 'right', optional)\n- showDataLabels (boolean, optional)\n- showTooltip (boolean, optional)\n- customColorOverrides (object, optional) - Key-value pairs where key is the data index and value is hex color code\n- enableAnimation (boolean, optional)\n- animationDuration (number, optional)\n- stackBars (boolean, optional)\n- lineStyle (enum: 'solid' | 'dashed' | 'dotted', optional)\n- showDataPoints (boolean, optional)\n- fillArea (boolean, optional)\n- innerRadius (number, optional) - 0-90 percentage\n\n#### 4.2 ChartDataPoint Interface\n\nEach data point in the chartData array will have:\n\n- label (string) - Category/label for the data point\n- value (number) - Primary value\n- secondaryValue (number, optional) - For combo charts\n- color (string, optional) - Custom color override\n\n#### 4.3 Data Source Options\n\n**Static Data:**\nUsers can define chart data directly in the configurator using the ChartDataEditor. Data is stored as an array of ChartDataPoint objects.\n\n**API Data:**\nWhen isFetchingFromApi is true, the component will:\n\n1. Make HTTP request to apiUrl using the specified method (GET or POST)\n2. Include apiHeaders in the request\n3. For POST requests, send requestBodySpecs as the request body\n4. Navigate to the data array using dataPath (e.g., \"response.data.salesFigures\")\n5. Map each object using labelKey and valueKey to extract chart data\n6. For combo charts, also use secondaryValueKey for the secondary dataset\n7. If storeDataInSession is true, store the response in session storage with apiName as key\n8. If visibleOnApiSuccess is true, only show the chart when the API call succeeds\n9. If linkedForm is specified, wait for that form's API response before fetching chart data\n\n---\n\n### 5. Default Component Configuration\n\nWhen a user drags a Chart component onto the canvas, it will have these defaults:\n\n| Property | Default Value |\n| -------------------- | -------------------- |\n| name | \"\" |\n| label | \"Chart\" |\n| showLabel | true |\n| chartType | \"bar\" |\n| chartTitle | \"Chart Title\" |\n| showChartTitle | true |\n| chartWidth | \"100\" |\n| chartHeight | 300 |\n| isFetchingFromApi | false |\n| apiUrl | \"\" |\n| apiHeaders | \"{}\" |\n| apiName | \"\" |\n| method | \"GET\" |\n| requestBodyType | \"\" |\n| requestBodySpecs | \"{}\" |\n| storeDataInSession | false |\n| visibleOnApiSuccess | false |\n| linkedForm | \"\" |\n| dataPath | \"\" |\n| labelKey | \"\" |\n| valueKey | \"\" |\n| secondaryValueKey | \"\" |\n| chartData | 3 sample data points |\n| chartOrientation | \"vertical\" |\n| showGrid | true |\n| showLegend | true |\n| legendPosition | \"top\" |\n| showDataLabels | false |\n| showTooltip | true |\n| customColorOverrides | {} |\n| enableAnimation | true |\n| animationDuration | 500 |\n| stackBars | false |\n| lineStyle | \"solid\" |\n| showDataPoints | true |\n| fillArea | false |\n| innerRadius | 50 |\n\n---\n\n### 6. Rendering Strategy\n\n#### 6.1 UI Configurator Preview\n\nThe Chart component in UI Configurator will display a **simplified preview** representation:\n\n- Show a placeholder graphic that indicates the chart type\n- Display the chart title if enabled\n- Show basic structure (axes for bar/line, circle for pie/doughnut)\n- Use colors from the default palette\n- No interactivity required (no tooltips, hover effects)\n\nThis keeps the configurator lightweight without importing Recharts.\n\n#### 6.2 Web Renderer Library (Recharts)\n\nThe WebChart component will use Recharts library for full chart rendering:\n\n| Chart Type | Recharts Components Used |\n| ---------- | ---------------------------------------------------------------------- |\n| Bar | BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, Legend |\n| Line | LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend |\n| Pie | PieChart, Pie, Cell, Tooltip, Legend |\n| Doughnut | PieChart, Pie (with innerRadius), Cell, Tooltip, Legend |\n| Polar Area | RadarChart, PolarGrid, PolarAngleAxis, PolarRadiusAxis, Radar |\n| Combo | ComposedChart, Bar, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend |\n\n#### 6.3 Data Transformation\n\nA chartUtils.ts file will handle:\n\n- Transforming component properties to Recharts-compatible format\n- Converting chartData array to Recharts data format\n- Mapping API response data using dataPath, labelKey, valueKey\n- Applying default color palette with custom overrides where specified\n- Converting lineStyle to Recharts strokeDasharray values\n\n---\n\n### 7. Property Panel Configuration\n\n#### 7.1 ChartPanel Sections\n\nThe ChartPanel will be organized into collapsible sections:\n\n**Chart Type Section:**\n\n- Visual chart type selector with icons for each type\n- Immediate preview update on selection\n\n**Title Section:**\n\n- Chart title input\n- Show/hide title toggle\n\n**Dimensions Section:**\n\n- Width (percentage input)\n- Height (pixel input)\n\n**Data Source Section:**\n\n- Toggle: Static Data / API\n- If Static: ChartDataEditor component (table-like UI for adding/editing data points)\n- If API: URL input, Headers JSON input, Data Path input, Label Key input, Value Key input, Secondary Value Key input (for combo)\n\n**Axis Configuration Section (for Bar, Line, Combo):**\n\n- X-Axis label input\n- Y-Axis label input\n- Orientation selector (vertical/horizontal)\n- Show grid toggle\n\n**Legend & Labels Section:**\n\n- Show legend toggle\n- Legend position selector\n- Show data labels toggle\n- Show tooltip toggle\n\n**Styling Section:**\n\n- Custom color overrides editor (key-value table where key is data index, value is hex color)\n- Color preview for each override\n\n**Animation Section:**\n\n- Enable animation toggle\n- Animation duration slider\n\n**Chart-Specific Options Section:**\n\n- Dynamically shows relevant options based on chartType\n- Bar: Stack bars toggle\n- Line: Line style selector, Show data points toggle, Fill area toggle\n- Doughnut: Inner radius slider (0-90%)\n\n---\n\n### 8. Color Configuration\n\n#### 8.1 Default Palette\n\nThe chart will use a default color palette with 8 colors that cycle for data points:\n\n| Index | Color Name | Hex Code |\n| ----- | ------------ | -------- |\n| 0 | Blue | #3366CC |\n| 1 | Red | #DC3912 |\n| 2 | Orange | #FF9900 |\n| 3 | Green | #109618 |\n| 4 | Purple | #990099 |\n| 5 | Cyan | #0099C6 |\n| 6 | Pink | #DD4477 |\n| 7 | Yellow-Green | #66AA00 |\n\n#### 8.2 Custom Color Overrides\n\nUsers can override specific colors in the default palette by providing key-value pairs:\n\n- **Key**: The index of the data point (0-based)\n- **Value**: Hex color code (e.g., #FF5733)\n\nExample: To change the 1st and 3rd data point colors:\n\n- Key: \"0\", Value: \"#FF5733\" (overrides Blue)\n- Key: \"2\", Value: \"#33FF57\" (overrides Orange)\n\n---\n\n### 9. Feature Details by Chart Type\n\n#### 9.1 Bar Chart\n\n- Vertical and horizontal orientation support\n- Optional stacked bars for comparing parts of a whole\n- Configurable bar spacing (handled by Recharts defaults)\n- Hover tooltips showing exact values\n- Optional data labels displayed on bars\n- Rounded corners option (Recharts default styling)\n\n#### 9.2 Line Chart\n\n- Smooth (monotone) or straight line connections\n- Optional filled area under the line\n- Configurable line style (solid, dashed, dotted via strokeDasharray)\n- Data point markers toggle\n- Multiple lines supported via secondaryValueKey\n- Hover tooltips at data points\n\n#### 9.3 Pie Chart\n\n- Percentage and/or absolute value labels\n- Interactive slice highlighting on hover\n- Legend with color indicators\n- Custom colors per slice\n- Responsive sizing\n\n#### 9.4 Doughnut Chart\n\n- All pie chart features\n- Configurable inner radius (0-90%)\n- Center area available for summary text/value (future enhancement)\n\n#### 9.5 Polar Area Chart\n\n- Rendered using Recharts RadarChart\n- Each category has equal angular segment\n- Radius varies based on value\n- Suitable for comparing multiple categories\n\n#### 9.6 Combo Chart (Bar + Line)\n\n- Primary data rendered as bars\n- Secondary data rendered as line overlay\n- Shared X-axis\n- Independent Y-axis scaling\n- Useful for comparing related metrics (e.g., actual vs target)\n\n---\n\n### 10. Responsive Behavior\n\n- Charts will be responsive by default (Recharts ResponsiveContainer)\n- Width percentage applied to parent container\n- Height remains fixed in pixels\n- Legend repositions automatically on smaller screens\n- Touch-friendly tooltips on mobile devices\n- Aspect ratio maintained during resize\n\n---\n\n### 11. Accessibility Considerations\n\n- Proper ARIA labels for chart container\n- Role=\"img\" with appropriate aria-label describing the chart\n- Sufficient color contrast in all palettes\n- Alternative data table option for screen readers (future enhancement)\n- Keyboard navigation support for interactive elements\n\n---\n\n### 12. Performance Considerations\n\n- Lazy loading for charts outside viewport\n- Debounced resize handling via Recharts ResponsiveContainer\n- Memoized data transformations\n- Animation disabled option for large datasets\n- Efficient re-renders using React.memo\n\n---\n\n### 13. Summary\n\nThe Chart component will be a powerful addition to the UI toolkit, supporting 6 chart types with extensive customization options. By using Recharts in the Web Renderer Library while keeping the UI Configurator independent, we achieve:\n\n1. **Clean separation** - Configuration logic stays in UI Configurator, rendering in web-renderer-lib\n2. **Full feature set** - Recharts provides animations, tooltips, legends, responsiveness out of the box\n3. **Maintainability** - Well-documented, actively maintained library\n4. **Consistency** - Follows established component patterns in the codebase\n\n**Estimated Implementation Time:** 4-5 sprints\n\n**Key Dependency:** recharts (web-renderer-lib only)\n","filename":"19 - Charts Component.md","format":"Markdown","order":19,"title":""},{"content":"## Dynamic Icons Enhancement for Simple Table Component\n\n### Overview\n\nThis document outlines the approach to enhance the simple-table component with a new \"Dynamic Icons\" feature. Dynamic Icons allow users to display pre-defined icons (such as circles, phone icons, etc.) that change color based on data-driven conditions. This enables visual representation of status indicators within table columns.\n\n---\n\n### Feature Requirements\n\n#### Core Requirements\n\n| Requirement | Description |\n| ------------------------ | ------------------------------------------------------------------------------------------------------ |\n| Dynamic Icon Option | Add \"Dynamic Icons\" as a new option in the Icon Upload Type dropdown when prefix/suffix type is \"Icon\" |\n| Pre-defined Icon Library | Provide a list of commonly used status icons for selection |\n| Color Conditions | Allow users to define multiple data-based conditions to determine icon color |\n| Condition Evaluation | Evaluate conditions against row data at render time to determine the appropriate color |\n\n#### Use Cases\n\n| Column | Icon Type | Behavior |\n| -------------- | ---------- | ----------------------------------------------------------------------------------------------------------------------------------------- |\n| Promise Status | Circle/Dot | Different colors based on status value (Broken=Red, Kept=Green, Normalized=Green, Stabilized=Yellow, Partially Kept=Orange, Active=Green) |\n| Calls | Phone Icon | Different colors based on call status or type |\n\n---\n\n### Data Structure\n\n#### Icon Color Condition Interface\n\n| Field | Type | Description |\n| ------------ | ------ | ----------------------------------------------------------------- |\n| id | string | Unique identifier for the condition |\n| leftOperand | string | Field name or value to compare (e.g., \"$promiseStatus\", \"Active\") |\n| operator | string | Comparison operator (==, ===, !=, >, <, >=, <=) |\n| rightOperand | string | Value to compare against |\n| color | string | Hex color code to apply when condition is true (e.g., \"#FF0000\") |\n\n> **Note:** Condition priority is determined by the order of conditions in the array. Conditions are evaluated sequentially from first to last, and the first matching condition determines the icon color.\n\n#### Dynamic Icon Configuration Properties\n\n| Property | Type | Description |\n| -------------------------- | -------------------- | --------------------------------------- |\n| dynamicIconName | string | Selected icon from pre-defined library |\n| dynamicIconSize | number | Icon size in pixels (default: 16) |\n| dynamicIconDefaultColor | string | Fallback color when no conditions match |\n| dynamicIconColorConditions | IconColorCondition[] | Array of color conditions |\n\n#### Updated Column Properties\n\nThe following properties will be added to the existing table column configuration:\n\n| Property | Type | When Applicable |\n| ------------------------------------------------------------------- | ----------------------------------- | ------------------------------------ |\n| prefixIconUploadType / suffixIconUploadType | \"url\" \\| \"file-upload\" \\| \"dynamic\" | When prefixType/suffixType is \"icon\" |\n| prefixDynamicIconName / suffixDynamicIconName | string | When IconUploadType is \"dynamic\" |\n| prefixDynamicIconSize / suffixDynamicIconSize | number | When IconUploadType is \"dynamic\" |\n| prefixDynamicIconDefaultColor / suffixDynamicIconDefaultColor | string | When IconUploadType is \"dynamic\" |\n| prefixDynamicIconColorConditions / suffixDynamicIconColorConditions | IconColorCondition[] | When IconUploadType is \"dynamic\" |\n\n---\n\n#### Condition Evaluation Flow\n\n1. Table receives row data from API or static configuration\n2. For each cell with dynamic icon, iterate through color conditions\n3. Evaluate each condition against the current row's data\n4. Apply the color from the first matching condition (by priority)\n5. If no conditions match, apply the default color\n\n---\n\n### UI Configuration Flow\n\n#### Property Panel Workflow\n\n1. User selects a table column for configuration\n2. User selects \"Prefix\" or \"Suffix\" from Prefix/Suffix dropdown\n3. User selects \"Icon\" from Prefix/Suffix Type dropdown\n4. User sees Icon Upload Type dropdown with options: URL, File Upload, **Dynamic Icons**\n5. User selects \"Dynamic Icons\"\n6. New configuration section appears with:\n - Icon selector (dropdown with icon previews)\n - Icon size input\n - Default color picker\n - Color Conditions section with \"Add Condition\" button\n\n#### Color Condition Configuration\n\nEach condition row will contain:\n\n| Field | Input Type | Description |\n| ------------- | ------------ | ----------------------------------------------- |\n| Left Operand | Text input | Field reference (e.g., $status) or static value |\n| Operator | Dropdown | Comparison operator selection |\n| Right Operand | Text input | Comparison value |\n| Color | Color picker | Result color when condition matches |\n| Delete button | Icon button | Remove this condition |\n\n---\n\n### Condition Evaluation Logic\n\n#### Operand Resolution\n\n| Operand Type | Example | Resolution |\n| --------------- | -------------- | ---------------------------------------- |\n| Field Reference | $promiseStatus | Get value from row data using field name |\n| Static Value | \"Active\" | Use value as-is |\n| Nested Field | $user.role | Access nested property from row data |\n\n#### Operator Support\n\n| Operator | Description | Example |\n| -------- | ---------------- | ------------------- |\n| == | Loose equality | $status == \"Active\" |\n| === | Strict equality | $count === 0 |\n| != | Not equal | $status != \"Closed\" |\n| > | Greater than | $days > 30 |\n| < | Less than | $amount < 1000 |\n| >= | Greater or equal | $priority >= 1 |\n| <= | Less or equal | $score <= 50 |\n\n#### Evaluation Order\n\nConditions are evaluated sequentially in the order they appear in the conditions array. The first matching condition determines the icon color. This allows for:\n\n- Specific conditions placed at the beginning of the array\n- Default/fallback conditions placed at the end of the array\n\n---\n\n### Default Configuration\n\n#### Default Values\n\n| Property | Default Value |\n| -------------------------- | ---------------- |\n| dynamicIconName | \"circle-solid\" |\n| dynamicIconSize | 16 |\n| dynamicIconDefaultColor | \"#808080\" (Gray) |\n| dynamicIconColorConditions | [] (Empty array) |\n\n### Rendering Strategy\n\n#### UI Configurator (Preview)\n\n- Display static icon preview in the configured default color\n- Show tooltip indicating \"Color varies based on data conditions\"\n- No actual condition evaluation in preview mode (no real data)\n\n#### Web Renderer Library (Runtime)\n\n- Create DynamicIcon component that accepts icon name, conditions, and row data\n- Use SVG icons for crisp rendering at any size\n- Apply CSS fill/stroke properties for color changes\n- Memoize condition evaluation for performance\n\n---\n\n### Summary\n\nThe Dynamic Icons feature extends the simple-table component with data-driven visual indicators. By adding a new \"Dynamic Icons\" option to the existing icon configuration flow, users can select from pre-defined icons and configure color conditions based on row data. This enables rich status visualization without requiring custom icon uploads for each state.\n\nKey implementation areas:\n\n- New TypeScript interfaces for IconColorCondition and dynamic icon properties\n- New UI components: DynamicIconSelector, IconColorConditionPanel\n- Enhanced existing components: DataColumnRow, TextPanel, TableCellRenderer\n- New renderer component: DynamicIcon with SVG icon library and condition evaluation logic\n","filename":"20 - Dynamic Icons.md","format":"Markdown","order":20,"title":""},{"content":"## Single Column → Multiple Actions in Simple Table\n\n### Summary\n\nThis document outlines the approach for refactoring the `simple-table` component to support multiple actions per column instead of the current single action per column setup. This change will impact:\n\n1. **ui-configurator** - Property panels and configuration UI\n2. **web-renderer-lib** - Rendering logic for table actions\n3. **Microsite JSON Schema** - Data structure changes\n4. **Migration Strategy** - Converting existing microsites to the new schema\n\n---\n\n### Current Implementation Analysis\n\nCurrently, the simple-table component supports **one action per column**. The column type (`columnInputType`) determines the behavior:\n\n#### Key Files in Current Implementation\n\n##### 1. Type Definitions\n\n| Location | File | Lines |\n| ---------------- | ------------------------ | ------- |\n| ui-configurator | `src/app/types/types.ts` | 308-341 |\n| web-renderer-lib | `src/types/types.ts` | 327-343 |\n\n**Current Structure:** The `DataTableColumn` interface stores all action-related properties flat in `column.properties` (e.g., `apiUrl`, `apiName`, `method`, `routePage`, `routingType`, etc.). Types should be kept in sync between both packages.\n\n##### 2. Configuration UI (ui-configurator)\n\n**File:** `src/app/components/PropertyPanels/DataColumnPanel/DataColumnRow.tsx`\n\n| Section | Lines | Purpose |\n| ------------------------ | -------- | --------------------------------------------------------- |\n| API Action Config | 495-706 | Handles API name, method, URL, headers, request body |\n| Routing/Clickable Config | 708-1111 | Handles routing-action and clickable column configuration |\n\n**Key Observation:** The configuration is tightly coupled with the assumption of one action type per column. All action-related properties are stored flat in `column.properties`.\n\n##### 3. Rendering Logic (web-renderer-lib)\n\n| File | Key Functions/Lines | Purpose |\n| ----------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |\n| `TableCellRenderer.tsx` | Lines 183-444 | Renders cells based on `columnInputType` with mutually exclusive branching for `api-action`, `routing-action`, `file-preview-action` |\n| `WebSimpleTable.tsx` | `handleActionClick` (312-379) | Handles API action execution for single action |\n| `WebSimpleTable.tsx` | `handleCellClick` (307-310) | Delegates to `useSessionRouter.handleNavigation` |\n| `useSessionRouter.ts` | `handleNavigation` (181-195) | Handles routing based on single action properties |\n\n##### 4. Current JSON Schema Structure\n\nCurrent schema stores action properties **flat within column properties**:\n\n- Column has single `columnInputType` (e.g., `\"api-action\"`)\n- API properties: `apiName`, `method`, `apiUrl`, `apiKey`, `apiHeaders`, `requestBodySpecs`, `showConfirmation`\n- Button properties: `buttonActionType`, `buttonActionText`, `iconUrl`, etc.\n- Routing properties: `routingType`, `routePage`, `externalURL`, `isConditional`, `conditionalRoutes`\n\n---\n\n### Proposed Solution Architecture\n\n#### New Data Structure\n\nTransform from **flat properties** to an **actions array** within column properties.\n\n##### New Interface: `TableColumnAction`\n\nA new interface that encapsulates all properties for a single action:\n\n| Property Group | Properties |\n| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Core** | `id`, `actionType` (`api-action` \\| `routing-action` \\| `file-preview-action`), `label` |\n| **Visual** | `buttonType`, `buttonText`, `iconUploadType`, `iconUrl`, `iconSize`, `iconPosition`, `iconSpacing` |\n| **API Action** | `apiName`, `method`, `apiUrl`, `apiKey`, `apiHeaders`, `requestBodySpecs`, `showConfirmation` |\n| **Routing Action** | `routingType`, `routePage`, `externalURL`, `isConditional`, `conditionalRoutes`, `onCloseAction`, `navigateWithoutDataTransfer`, `routeMicrosite`, `routeMicrositeVersion`, `dataTransfer`, `sessionKeys` |\n| **Conditions** | `visibilityConditions`, `enableDisableConditions` |\n\n##### Updated `DataTableColumn.properties`\n\nNew properties to add:\n\n- `columnInputType: \"actions\"` - New type for multi-action columns\n- `actions: TableColumnAction[]` - Array of action configurations\n- `actionsLayout: \"inline\" | \"dropdown\"` - How to display multiple actions\n\n#### New JSON Schema Structure\n\n- Column has `columnInputType: \"actions\"`\n- Column has `actionsLayout` for display mode\n- Column has `actions[]` array containing individual action objects\n- Each action object has its own `id`, `actionType`, and relevant properties\n\n---\n\n### Detailed Implementation Plan\n\n#### Phase 1: Type System Updates (2-3 days)\n\n##### 1.1 Update Type Definitions\n\n**Files to modify:**\n\n- `ui-configurator/src/app/types/types.ts`\n- `web-renderer-lib/src/types/types.ts`\n\n**Changes:**\n\n1. Add new `TableColumnAction` interface\n2. Add `actions?: TableColumnAction[]` to `DataTableColumn.properties`\n3. Add `actionsLayout?: string` to `DataTableColumn.properties`\n4. Remove legacy flat action properties from type definitions\n\n##### 1.2 Update Constants\n\n**File:** `ui-configurator/src/app/utils/constants.ts`\n\n**Changes:**\n\n- Update `columnDataTypes` to replace legacy action types with new `\"actions\"` type\n- Remove `api-action`, `routing-action`, `file-preview-action` from column type options\n- Add new `actionTypes` constant for action type dropdown within actions\n- Add `actionsLayoutOptions` constant for layout selection\n\n#### Phase 2: UI Configurator Updates (5-7 days)\n\n##### 2.1 Create New ActionEditor Component\n\n**New Directory:** `src/app/components/PropertyPanels/ActionEditor/`\n\n| File | Purpose |\n| -------------------------- | ------------------------------------------------------- |\n| `ActionEditor.tsx` | Main component for editing single action |\n| `ActionEditor.module.scss` | Styles |\n| `ApiActionEditor.tsx` | API-specific fields (method, URL, headers, body) |\n| `RoutingActionEditor.tsx` | Routing-specific fields (routingType, page, conditions) |\n| `FilePreviewEditor.tsx` | File preview action specific fields |\n\n##### 2.2 Create ActionsListEditor Component\n\n**New File:** `src/app/components/PropertyPanels/ActionsListEditor/ActionsListEditor.tsx`\n\n**Features:**\n\n- Display list of actions with expandable/collapsible sections\n- Add new action button\n- Delete action button\n- Drag-and-drop reordering\n- Layout selector (inline/dropdown)\n- Individual action editing via `ActionEditor`\n\n##### 2.3 Update DataColumnRow.tsx\n\n**File:** `src/app/components/PropertyPanels/DataColumnPanel/DataColumnRow.tsx`\n\n**Changes:**\n\n1. Add conditional rendering for `columnInputType === \"actions\"`\n2. Render `ActionsListEditor` when multiple actions mode is selected\n3. Remove legacy single-action type handling code\n\n#### Phase 3: Web Renderer Updates (4-5 days)\n\n##### 3.1 Create ActionButton Component\n\n**New File:** `src/components/webComponents/WebSimpleTable/ActionButton.tsx`\n\n**Purpose:** Renders a single action button based on action configuration. Accepts callbacks for API action, routing action, and file preview action.\n\n##### 3.2 Create ActionsCellRenderer Component\n\n**New File:** `src/components/webComponents/WebSimpleTable/ActionsCellRenderer.tsx`\n\n**Purpose:** Renders multiple actions in a table cell.\n\n**Layout Support:**\n\n- `inline`: Render buttons side by side\n- `dropdown`: Render as dropdown menu (future enhancement)\n\n##### 3.3 Update TableCellRenderer.tsx\n\n**File:** `src/components/webComponents/WebSimpleTable/TableCellRenderer.tsx`\n\n**Changes:**\n\n1. Add handling for `columnInputType === \"actions\"`\n2. Delegate to `ActionsCellRenderer` for multiple actions\n3. Remove legacy single-action type rendering code\n\n##### 3.4 Update WebSimpleTable.tsx\n\n**File:** `src/components/webComponents/WebSimpleTable/WebSimpleTable.tsx`\n\n**Changes:**\n\n1. Update `handleActionClick` to accept `TableColumnAction` as parameter instead of reading from column properties\n2. Add support for handling multiple actions from same column\n\n##### 3.5 Update useSessionRouter.ts\n\n**File:** `src/hooks/useSessionRouter.ts`\n\n**Changes:**\n\n- Update `handleNavigation` to work with `TableColumnAction` interface\n- Update parameter type to accept `TableColumnAction` only\n","filename":"21 - Multi-Action Column.md","format":"Markdown","order":21,"title":""},{"content":"## Tenant Stylesheet Implementation\n\n### 1. Current State Summary\n\n| Project | Variable System | Prefix | Primary Color | Font Family |\n| --------------------- | --------------- | -------------- | ------------------- | ------------------ |\n| workflow-designer | SCSS `$var` | None | `#00a79d` (teal) ✓ | Gotham |\n| rule-designer | SCSS `$var` | None | `#1c75bc` (blue) ⚠️ | Gotham |\n| condition-builder-lib | CSS `--var` | None | `#1c75bc` (blue) ⚠️ | None defined |\n| ui-configurator | CSS `--var` | None | `#1c75bc` (blue) ⚠️ | Gotham |\n| portal-ui | CSS `--var` | `--rahi-cp-` | `#1c75bc` (blue) ⚠️ | Gotham |\n| web-renderer-lib | CSS `--var` | `--wrl-theme-` | `#00a79d` (teal) ✓ | Outfit (hardcoded) |\n\n**Default Client Colors:**\n\n- **Primary:** `#00a79d` (teal) — cyan-green shades\n- **Secondary:** `#1c75bc` (blue) — ocean-blue shades\n\n**Key Issues:**\n\n- Mixed SCSS/CSS variable systems\n- Inconsistent prefixing (none, `--rahi-cp-`, `--wrl-theme-`)\n- Primary/Secondary colors swapped in rule-designer, condition-builder-lib, ui-configurator, and portal-ui\n- Ocean-blue shades are for secondary (blue), cyan-green shades are for primary (teal) — naming needs to reflect this\n- Background and gray shade naming varies\n\n---\n\n### 2. Target Architecture\n\n#### 2.1 Add Tenant Stylesheets to portal-ui\n\nAdd tenant stylesheets within `portal-ui` as the host application. This aligns with the micro-frontend architecture where portal-ui serves as the shell that provides shared styles to all micro-frontends and libraries.\n\n**Structure:**\n\n```\nportal-ui/\n└── src/\n └── styles/\n └── tenant-styles/\n ├── themes/\n │ ├── default.css # Default tenant (Rahi)\n │ ├── stft.css # STFT tenant (overrides only differing variables)\n │ └── [tenant].css\n └── index.css # Re-exports default theme\n```\n\n**CSS Variable Inheritance:** Tenant-specific files (e.g., `stft.css`) only need to define variables that differ from the default. Any variable not defined in a tenant file will automatically inherit from `default.css` via the CSS cascade.\n\n#### 2.2 Unified Variable Naming Convention\n\n**Prefix:** `--ts-` (tenant-styles) — short, generic, framework-agnostic\n\n**Color Token Structure:**\n\n| Category | Token Names |\n| ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Primary Palette** | `--ts-primary`, `--ts-primary-dark`, `--ts-primary-light`, `--ts-primary-50` through `--ts-primary-600` (replacing cyan-green shades) |\n| **Secondary Palette** | `--ts-secondary`, `--ts-secondary-dark`, `--ts-secondary-light`, `--ts-secondary-50` through `--ts-secondary-600` (replacing ocean-blue shades) |\n| **Tertiary** | `--ts-tertiary`, `--ts-tertiary-dark` |\n| **Neutrals/Backgrounds** | `--ts-background`, `--ts-background-subtle`, `--ts-background-muted`, `--ts-surface`, `--ts-surface-raised` |\n| **Grays** | `--ts-gray-50` through `--ts-gray-900` (consistent scale) |\n| **Text** | `--ts-text`, `--ts-text-secondary`, `--ts-text-muted`, `--ts-text-placeholder` |\n| **Borders/Shadows** | `--ts-border`, `--ts-border-dark`, `--ts-shadow-sm`, `--ts-shadow-md` |\n| **Semantic Colors** | `--ts-error`, `--ts-error-dark`, `--ts-success`, `--ts-warning`, `--ts-info` |\n| **Expression Colors** | `--ts-exp-keywords`, `--ts-exp-strings`, `--ts-exp-numbers`, `--ts-exp-boolean`, `--ts-exp-variables`, `--ts-exp-functions`, `--ts-exp-operators` |\n| **Log Level Colors** | `--ts-log-fatal`, `--ts-log-error`, `--ts-log-warn`, `--ts-log-info`, `--ts-log-debug`, `--ts-log-print` |\n| **Font** | `--ts-font-family`, `--ts-font-family-mono` |\n| **Base Colors (Raw)** | `--ts-white`, `--ts-black`, `--ts-rich-black` |\n\n---\n\n### 3. Migration Strategy\n\n#### Phase 1: Create the Tenant Stylesheets in portal-ui\n\n1. Create the `src/styles/tenant-styles` directory in portal-ui with a `default.css` file containing all CSS variables under `:root`\n2. Map the default theme to Rahi's color scheme:\n - Primary = `#00a79d` (current cyan-green/teal)\n - Secondary = `#1c75bc` (current ocean-blue)\n3. Rename cyan-green shades → `--ts-primary-50` to `--ts-primary-600`\n4. Rename ocean-blue shades → `--ts-secondary-50` to `--ts-secondary-600`\n5. Standardize gray scale from `--ts-gray-50` (lightest) to `--ts-gray-900` (darkest), mapping:\n - `light-bg`, `light-bg-2` → `--ts-gray-50`, `--ts-gray-100`\n - `light-gray`, `light-gray-2`, `light-gray-3` → `--ts-gray-200`, `--ts-gray-300`, `--ts-gray-400`\n - `dark-gray-6` through `dark-gray` → `--ts-gray-500` through `--ts-gray-900`\n6. Define `--ts-font-family: \"Gotham\", sans-serif` and `--ts-font-family-mono: monospace`\n\n#### Phase 2: Create Tenant Stylesheet Files\n\n1. Create per-tenant CSS files (e.g., `stft.css`) containing only the variables that differ from default\n2. Import order ensures fallback: `default.css` first, then tenant-specific file\n ```css\n /* index.css or app entry */\n @import \"./themes/default.css\";\n @import \"./themes/stft.css\"; /* Only overrides what's different */\n ```\n\n#### Phase 3: Integrate into Each Project\n\n**For SCSS-based projects (rule-designer, workflow-designer):**\n\n1. Remove SCSS color variable definitions from global.scss\n2. Import the tenant stylesheet CSS file at app entry point\n3. Refactor components to use CSS variables directly\n\n**For CSS variable projects (ui-configurator, portal-ui, condition-builder-lib):**\n\n1. Replace local `:root` color definitions with an import of tenant-styles\n2. Search-and-replace old variable names with new `--ts-*` names\n3. Remove project-specific prefixes (`--rahi-cp-`, unprefixed vars)\n\n**For web-renderer-lib:**\n\n1. Adopt `--ts-*` naming and deprecate `--wrl-theme-*` variables\n2. Update existing theme files to use new variable names\n\n#### Phase 4: Injection Mechanism\n\n1. Import `default.css` in portal-ui's root layout (`app/layout.tsx` or `_app.tsx`) — this is always loaded\n2. Libraries and micro-frontends inherit CSS variables from the DOM at runtime — no bundling required\n3. For runtime tenant switching, load the tenant-specific CSS dynamically based on tenant ID\n\n**Runtime Tenant Loading (Optional):**\n\nCreate a tenant configuration map and a loader utility:\n\n```typescript\n// src/styles/tenant-styles/tenantConfig.ts\nexport const TENANT_CSS_MAP: Record = {\n rahi: \"\", // Default tenant - no override needed (uses default.css)\n stft: \"/styles/tenant-styles/themes/stft.css\",\n // Add more tenants as needed\n};\n\nexport function loadTenantStyles(tenantId: string): void {\n const existingLink = document.getElementById(\"tenant-theme\");\n\n // Remove existing tenant override if present\n if (existingLink) {\n existingLink.remove();\n }\n\n const cssPath = TENANT_CSS_MAP[tenantId];\n if (!cssPath) return; // Default tenant, no override needed\n\n const link = document.createElement(\"link\");\n link.id = \"tenant-theme\";\n link.rel = \"stylesheet\";\n link.href = cssPath;\n document.head.appendChild(link);\n}\n```\n\n**Usage in root layout:**\n\n```typescript\n// app/layout.tsx or _app.tsx\nimport \"@/styles/tenant-styles/themes/default.css\"; // Always loaded\nimport { loadTenantStyles } from \"@/styles/tenant-styles/tenantConfig\";\n\n// Call on app init with tenant ID from auth/config\nuseEffect(() => {\n const tenantId = getTenantIdFromAuth(); // or env variable, URL, etc.\n loadTenantStyles(tenantId);\n}, []);\n```\n\n---\n\n### 4. Naming Reference Table\n\n| Old Name(s) | New Token |\n| -------------------------------------------------------- | --------------------------------------------------- |\n| `$primary-color` / `--primary-color` / `--primary` | `--ts-primary` |\n| `$primary-color-dark` / `--primary-color-dark` | `--ts-primary-dark` |\n| `$primary-color-light` / `--primary-color-light` | `--ts-primary-light` |\n| `cyan-green-1` through `cyan-green-6` | `--ts-primary-50` through `--ts-primary-600` |\n| `$secondary-color` / `--secondary-color` / `--secondary` | `--ts-secondary` |\n| `$secondary-color-dark` / `--secondary-color-dark` | `--ts-secondary-dark` |\n| `$secondary-color-light` / `--secondary-color-light` | `--ts-secondary-light` |\n| `ocean-blue-1` through `ocean-blue-6` | `--ts-secondary-50` through `--ts-secondary-600` |\n| `$tertiary-color` | `--ts-tertiary` |\n| `$white` / `--white` | `--ts-white` |\n| `$rich-black` / `--rich-black` | `--ts-rich-black` |\n| `$light-bg` / `--light-bg` | `--ts-gray-50` |\n| `$light-bg-2` / `--light-bg-2` | `--ts-gray-100` |\n| `$light-gray` / `--light-gray` | `--ts-gray-200` |\n| `$light-gray-2` / `--light-gray-2` | `--ts-gray-300` |\n| `$light-gray-3` / `--light-gray-3` | `--ts-gray-400` |\n| `$dark-gray-6` / `--dark-gray-6` | `--ts-gray-500` |\n| `$dark-gray-5` / `--dark-gray-5` | `--ts-gray-600` |\n| `$dark-gray-4` / `--dark-gray-4` | `--ts-gray-700` |\n| `$dark-gray-3` / `--dark-gray-3` | `--ts-gray-750` |\n| `$dark-gray-2` / `--dark-gray-2` | `--ts-gray-800` |\n| `$dark-gray` / `--dark-gray` | `--ts-gray-850` |\n| `$background` through `$background-6` | `--ts-surface`, `--ts-surface-*` (semantic aliases) |\n| `$text` / `--text` | `--ts-text` |\n| `$text-secondary` / `--text-secondary` | `--ts-text-secondary` |\n| `$text-placeholder` / `--text-placeholder` | `--ts-text-muted` |\n| `$error` / `--error` | `--ts-error` |\n| `$error-dark` / `--error-dark` | `--ts-error-dark` |\n| `--font-family` / `--rahi-cp-font-family` | `--ts-font-family` |\n\n---\n\n### 5. Micro-Frontend/Library Architecture\n\nWith portal-ui as the host application:\n\n1. **Single source of truth:** Portal-ui imports tenant-styles once at the root; all micro-frontends and libraries inherit CSS variables from the DOM\n2. **Library guidelines:** Libraries should reference `var(--ts-*)` without fallbacks — the host guarantees these variables exist\n3. **CSS Isolation:** If using Shadow DOM for micro-frontends, inject the tenant stylesheet CSS into each shadow root\n4. **Build-time vs Runtime:** For build-time tenant theming, use environment variables to select the stylesheet file; for runtime, load CSS dynamically\n\n---\n\n### 6. Deliverables Checklist\n\n- [ ] Create `src/styles/tenant-styles` in portal-ui with default.css (Rahi tenant)\n- [ ] Create tenant-specific stylesheet files (stft.css, etc.) with only differing variables\n- [ ] Import tenant stylesheet in portal-ui root layout\n- [ ] Document the variable naming convention\n- [ ] Migrate rule-designer (SCSS → CSS vars)\n- [ ] Migrate workflow-designer (SCSS → CSS vars)\n- [ ] Migrate ui-configurator (update variable names)\n- [ ] Migrate portal-ui (remove `--rahi-cp-` prefix, use `--ts-*`)\n- [ ] Migrate condition-builder-lib (update variable names)\n- [ ] Update web-renderer-lib (align with new variables or create mapping)\n- [ ] Update all theme files in web-renderer-lib to use new naming\n- [ ] Document integration instructions for each project type\n\n---\n\n### 7. default.css (Rahi Tenant)\n\nThis is the unified default tenant stylesheet combining all CSS/SCSS variables from across projects, mapped to the new `--ts-*` naming convention.\n\n```css\n/**\n * Tenant Styles - Default Theme (Rahi)\n * \n * This file contains all design tokens for the default tenant.\n * Tenant-specific overrides (e.g., stft.css) only need to define variables that differ.\n */\n\n:root {\n /* ===== Primary Palette (Teal/Cyan-Green) ===== */\n --ts-primary: #00a79d;\n --ts-primary-dark: #00867e;\n --ts-primary-light: #99dcd8;\n --ts-primary-light-2: #33b9b1;\n --ts-primary-50: #f6ffff; /* cyan-green-1 */\n --ts-primary-100: #e6f7f6; /* cyan-green-2 */\n --ts-primary-200: #ccedeb; /* cyan-green-3 */\n --ts-primary-300: #99dcd8; /* cyan-green-4 */\n --ts-primary-400: #66cac4; /* cyan-green-5 */\n --ts-primary-600: #33b9b1; /* cyan-green-6 */\n\n /* ===== Secondary Palette (Blue/Ocean-Blue) ===== */\n --ts-secondary: #1c75bc;\n --ts-secondary-dark: #114671;\n --ts-secondary-light: #d2e3f2;\n --ts-secondary-light-2: #4991c9;\n --ts-secondary-50: #f7fcff; /* ocean-blue-1 */\n --ts-secondary-100: #e9f2f9; /* ocean-blue-2 */\n --ts-secondary-200: #d2e3f2; /* ocean-blue-3 */\n --ts-secondary-300: #a4c8e4; /* ocean-blue-4 */\n --ts-secondary-400: #77acd7; /* ocean-blue-5 */\n --ts-secondary-600: #4991c9; /* ocean-blue-6 */\n\n /* ===== Tertiary ===== */\n --ts-tertiary: #ff7a45;\n --ts-tertiary-dark: #c57b57;\n\n /* ===== Base Colors ===== */\n --ts-white: #ffffff;\n --ts-black: #000000;\n --ts-rich-black: #0d1116;\n --ts-rich-black-2: #161c23;\n\n /* ===== Gray Scale ===== */\n --ts-gray-50: #f3f5f7; /* light-bg */\n --ts-gray-100: #e6eaef; /* light-bg-2 */\n --ts-gray-200: #ccd5e1; /* light-gray */\n --ts-gray-300: #b3c2d1; /* light-gray-2 */\n --ts-gray-400: #a6b7c9; /* light-gray-3 */\n --ts-gray-500: #7a8088; /* dark-gray-6 */\n --ts-gray-600: #5c636b; /* dark-gray-5 */\n --ts-gray-700: #464d55; /* dark-gray-4 */\n --ts-gray-750: #333b44; /* dark-gray-3 */\n --ts-gray-800: #282e35; /* dark-gray-2 */\n --ts-gray-850: #20262d; /* dark-gray */\n\n /* ===== Semantic Surface/Background ===== */\n --ts-background: var(--ts-white);\n --ts-background-2: var(--ts-gray-50);\n --ts-background-3: var(--ts-gray-100);\n --ts-background-4: var(--ts-gray-200);\n --ts-background-5: var(--ts-gray-300);\n --ts-background-6: var(--ts-gray-400);\n --ts-surface: var(--ts-white);\n --ts-surface-raised: var(--ts-gray-50);\n\n /* ===== Text ===== */\n --ts-text: var(--ts-rich-black);\n --ts-text-secondary: var(--ts-gray-700);\n --ts-text-muted: var(--ts-gray-500);\n --ts-text-placeholder: var(--ts-gray-500);\n\n /* ===== Borders & Shadows ===== */\n --ts-border: var(--ts-gray-200);\n --ts-border-dark: var(--ts-gray-300);\n --ts-shadow-sm: rgba(51, 59, 68, 0.1);\n --ts-shadow-md: rgba(51, 59, 68, 0.15);\n\n /* ===== Semantic Colors ===== */\n --ts-error: #bf4342;\n --ts-error-dark: #a12c2b;\n --ts-success: var(--ts-primary);\n --ts-warning: var(--ts-tertiary);\n --ts-info: var(--ts-secondary);\n\n /* ===== Expression Colors (Code Syntax) ===== */\n --ts-exp-keywords: #a5509e;\n --ts-exp-strings: #a5593b;\n --ts-exp-numbers: #267d6c;\n --ts-exp-boolean: #5c08af;\n --ts-exp-variables: #286ca4;\n --ts-exp-functions: #8f6d00;\n --ts-exp-operators: #0d1116;\n\n /* ===== Log Level Colors ===== */\n --ts-log-fatal: var(--ts-error-dark);\n --ts-log-error: var(--ts-error);\n --ts-log-warn: var(--ts-tertiary);\n --ts-log-info: var(--ts-secondary);\n --ts-log-debug: var(--ts-gray-600);\n --ts-log-print: #8e44ad;\n\n /* ===== Typography ===== */\n --ts-font-family: \"Gotham\", sans-serif;\n --ts-font-family-mono:\n ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\",\n \"Courier New\", monospace;\n\n /* ===== Font Sizes ===== */\n --ts-font-size-xs: 10px;\n --ts-font-size-sm: 12px;\n --ts-font-size-base: 14px;\n --ts-font-size-lg: 16px;\n --ts-font-size-xl: 18px;\n --ts-font-size-2xl: 24px;\n --ts-font-size-3xl: 30px;\n\n /* ===== Spacing ===== */\n --ts-spacing-xs: 4px;\n --ts-spacing-sm: 8px;\n --ts-spacing-md: 12px;\n --ts-spacing-base: 16px;\n --ts-spacing-lg: 26px;\n\n /* ===== Border Radius ===== */\n --ts-border-radius: 4px;\n --ts-border-radius-sm: 2px;\n --ts-border-radius-lg: 8px;\n\n /* ===== Z-Index Scale ===== */\n --ts-z-index-canvas-grid: 0;\n --ts-z-index-canvas-states: 1;\n --ts-z-index-canvas-states-interactive: 15;\n --ts-z-index-canvas-nodes: 20;\n --ts-z-index-header: 100;\n --ts-z-index-control-panel: 110;\n --ts-z-index-pane: 900;\n --ts-z-index-floating-menu: 1000;\n --ts-z-index-tooltip: 2000;\n\n /* ===== Component-Specific (Buttons) ===== */\n --ts-button-bg: var(--ts-primary);\n --ts-button-bg-hover: var(--ts-primary-dark);\n --ts-button-text: var(--ts-white);\n --ts-button-padding: var(--ts-spacing-sm) var(--ts-spacing-md);\n --ts-button-font-weight: 500;\n\n /* ===== Component-Specific (Inputs) ===== */\n --ts-input-bg: var(--ts-gray-50);\n --ts-input-text: var(--ts-rich-black);\n --ts-input-placeholder: var(--ts-gray-500);\n --ts-input-border: var(--ts-gray-200);\n --ts-input-padding: var(--ts-spacing-sm);\n\n /* ===== Component-Specific (Sections) ===== */\n --ts-section-bg: var(--ts-white);\n --ts-section-border: var(--ts-gray-200);\n --ts-section-padding: var(--ts-spacing-md);\n --ts-section-margin: 20px;\n --ts-section-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n}\n```\n","filename":"22 - Tenant Stylesheet.md","format":"Markdown","order":22,"title":""},{"content":"## Portal UI - Library Integration Approach\n\n### Document Version\n\n- **Version**: 1.0\n- **Date**: January 28, 2026\n- **Status**: Pending Confirmation\n\n---\n\n### Objective\n\nThis document outlines the approach for enhancing **portal-ui** to serve as a unified shell application that integrates **ui-configurator**, **workflow-designer**, and **rule-designer** by converting the core editors into **React component libraries** that are consumed by the shell. This approach moves listing routes to portal-ui while the designer/editor components are published as npm packages.\n\n---\n\n### Current Context & Architecture Analysis\n\n\n\n#### Existing Projects Overview\n\n| Project | Package Name | Port | Entry Route | Key Purpose |\n| ------------------------- | ----------------------------- | ---- | ------------- | ------------------------------------------------------------ |\n| **ui-configurator** | `@rahi/ui-builder` | 3000 | `/workspaces` | Page/Microsite builder, Access Controls, Templates |\n| **workflow-designer** | `@rahi/workflow-designer` | 3003 | `/workflows` | Visual workflow editor |\n| **rule-designer** | `@rule/rule-designer` | 3004 | `/rulesets` | Decision table & rule builder |\n| **portal-ui** | `@rahi/portal-ui` | 3002 | `/login` | **Shell application** (to be enhanced as unified config hub) |\n| **web-renderer-lib** | `@rahi/web-renderer-lib` | N/A | N/A | Shared library for rendering microsites |\n| **condition-builder-lib** | `@rahi/condition-builder-lib` | N/A | N/A | Shared library for condition/expression building |\n\n#### Technology Stack (Consistent Across Projects)\n\n| Aspect | Version/Technology |\n| ---------------- | --------------------------------------------------------- |\n| Framework | Next.js 15.x (App Router) |\n| React | 19.2.3 |\n| Styling | SCSS Modules |\n| State Management | React Context API |\n| Build Output | Standalone (`output: \"standalone\"`) |\n| Configuration | External config via `/api/config` (reads `co.properties`) |\n| Authentication | Keycloak-based auth service (HTTP-only cookies) |\n\n#### Current Context Dependencies by Application\n\n| Application | Contexts (Count) |\n| --------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **workflow-designer** | ConfigContext, HeaderContext, HistoryContext, InteractionContext, LibraryContext, NodesContext, SelectionContext, StatesContext, ViewportContext, WorkflowContext (10) |\n| **rule-designer** | ConfigContext, HeaderContext, OutputSelectorContext, RuleContext, RulesetContext (6) |\n| **ui-configurator** | ConfigContext, ConfiguratorModeContext, ControlPanelContext, DragContext, HeaderContextV2, MicrositeContext, PropertiesContext, UserTaskContext (8) |\n\n---\n\n### Integration Approach: React Component Libraries\n\n\n\n#### Why This Approach?\n\n1. **Proven Pattern** - Already successfully implemented with `condition-builder-lib` and `web-renderer-lib`\n2. **Single Deployment** - One deployable application (portal-ui) instead of multiple\n3. **Shared Dependencies** - React, SCSS, and utilities bundled once\n4. **Type Safety** - Full TypeScript support across library boundaries\n5. **Simplified DevOps** - Single CI/CD pipeline, single container image\n6. **Consistent UX** - Unified header, navigation, and theming\n7. **Unified Theming** - Tenant stylesheets injected once at shell level, inherited by all libraries (see [Tenant Stylesheet](https://structurizr.rahi.co/share/4/documentation/2.%20UI%20Configurator#tenant-stylesheet-implementation))\n\n---\n\n### New Library Packages\n\n#### 1. @rahi/workflow-designer-lib\n\n```\nworkflow-designer-lib/\n├── src/\n│ ├── index.ts # Public exports\n│ ├── components/\n│ │ ├── WorkflowEditor/\n│ │ │ ├── WorkflowEditor.tsx # Main editor component\n│ │ │ ├── WorkflowEditor.module.scss\n│ │ │ └── index.ts\n│ │ ├── WorkflowViewer/ # Read-only viewer\n│ │ │ ├── WorkflowViewer.tsx\n│ │ │ └── index.ts\n│ │ ├── Canvas/\n│ │ ├── ControlPanel/\n│ │ ├── Node/\n│ │ ├── NodeTypeMenu/\n│ │ ├── Pane/\n│ │ ├── Panes/\n│ │ ├── Grid/\n│ │ ├── State/\n│ │ └── [other internal components]\n│ ├── contexts/ # Internal contexts (wrapped)\n│ │ ├── HistoryContext.tsx\n│ │ ├── InteractionContext.tsx\n│ │ ├── LibraryContext.tsx\n│ │ ├── NodesContext.tsx\n│ │ ├── SelectionContext.tsx\n│ │ ├── StatesContext.tsx\n│ │ ├── ViewportContext.tsx\n│ │ └── WorkflowContext.tsx\n│ ├── hooks/\n│ │ ├── useCanvasTransform.ts\n│ │ ├── useCaretPosition.ts\n│ │ ├── useContextReset.ts\n│ │ ├── useDrag.ts\n│ │ ├── useTaskNodeSave.ts\n│ │ ├── useTidyLayout.ts\n│ │ └── useUiSorting.ts\n│ ├── services/\n│ │ └── WorkflowAPIService.ts # Accepts baseUrl as param\n│ ├── types/\n│ │ ├── types.ts\n│ │ └── expression.ts\n│ ├── utils/\n│ │ ├── constants.ts\n│ │ ├── utils.ts\n│ │ ├── workflowExporter.ts\n│ │ └── workflowApiUtils.ts\n│ └── styles/\n│ ├── globals.scss\n│ └── shared.module.scss\n├── package.json\n├── tsconfig.json\n├── jest.config.ts\n└── README.md\n```\n\n---\n\n#### 2. @rahi/rule-designer-lib\n\n```\nrule-designer-lib/\n├── src/\n│ ├── index.ts # Public exports\n│ ├── components/\n│ │ ├── RulesetEditor/\n│ │ │ ├── RulesetEditor.tsx # Main editor component\n│ │ │ ├── RulesetEditor.module.scss\n│ │ │ └── index.ts\n│ │ ├── RulesetViewer/ # Read-only viewer\n│ │ │ ├── RulesetViewer.tsx\n│ │ │ └── index.ts\n│ │ ├── ActionBuilder/\n│ │ ├── ActionCellBuilder/\n│ │ ├── ControlPanel/\n│ │ ├── DecisionTableBuilder/\n│ │ ├── Pane/\n│ │ ├── RuleBuilder/\n│ │ ├── RuleCard/\n│ │ ├── RuleEditor/\n│ │ ├── SetResultBuilder/\n│ │ ├── SetVariableBuilder/\n│ │ ├── SidePane/\n│ │ └── [other internal components]\n│ ├── contexts/ # Internal contexts (wrapped)\n│ │ ├── OutputSelectorContext.tsx\n│ │ ├── RuleContext.tsx\n│ │ └── RulesetContext.tsx\n│ ├── hooks/\n│ │ ├── useDebounce.ts\n│ │ ├── useDragAndDrop.ts\n│ │ ├── useGlobalHotkeys.ts\n│ │ ├── useRelativeTime.ts\n│ │ ├── useReorder.ts\n│ │ └── useUiSorting.ts\n│ ├── services/\n│ │ ├── RulesetAPIService.ts # Accepts baseUrl as param\n│ │ ├── ExpressionAPIService.ts\n│ │ ├── RulesetFieldService.ts\n│ │ └── ValidationService.ts\n│ ├── types/\n│ │ ├── types.ts\n│ │ └── internalTypes.ts\n│ ├── utils/\n│ │ ├── ruleUtils.ts\n│ │ ├── ruleCleanup.ts\n│ │ ├── rulesetUtils.ts\n│ │ ├── rulesetTransform.ts\n│ │ ├── rulesetTracker.ts\n│ │ ├── stackTokenizer.ts\n│ │ ├── expressionUtils.ts\n│ │ └── ruleVariableValidation.ts\n│ └── styles/\n│ ├── globals.scss\n│ └── shared.module.scss\n├── package.json\n├── tsconfig.json\n├── jest.config.ts\n└── README.md\n```\n\n---\n\n#### 3. @rahi/microsite-designer-lib\n\n```\nmicrosite-designer-lib/\n├── src/\n│ ├── index.ts # Public exports\n│ ├── components/\n│ │ ├── MicrositeEditor/\n│ │ │ ├── MicrositeEditor.tsx # Main microsite editor\n│ │ │ ├── MicrositeEditor.module.scss\n│ │ │ └── index.ts\n│ │ ├── MicrositeViewer/ # Read-only viewer\n│ │ │ ├── MicrositeViewer.tsx\n│ │ │ └── index.ts\n│ │ ├── MicrositeBuilder/\n│ │ ├── MicrositeControlPanel/\n│ │ ├── ComponentRenderer/\n│ │ ├── ComponentDropZone/\n│ │ ├── PropertiesPaneV2/\n│ │ ├── PropertyPanels/\n│ │ ├── PreviewWindow/\n│ │ ├── AvailableBlocksPanel/\n│ │ ├── StructurePanel/\n│ │ ├── DataModelPanel/\n│ │ └── [other internal components]\n│ ├── contexts/ # Internal contexts (wrapped)\n│ │ ├── ConfiguratorModeContext.tsx\n│ │ ├── ControlPanelContext.tsx\n│ │ ├── DragContext.tsx\n│ │ ├── MicrositeContext.tsx\n│ │ ├── PropertiesContext.tsx\n│ │ └── UserTaskContext.tsx\n│ ├── hooks/\n│ │ ├── useAutoScroll.ts\n│ │ ├── useComponentDragOver.ts\n│ │ ├── useComponentProperties.ts\n│ │ ├── useDebounce.ts\n│ │ ├── useFindForm.ts\n│ │ ├── useFormRow.ts\n│ │ ├── useImportExport.ts\n│ │ ├── useMicrositePageProperties.ts\n│ │ ├── useMicrositePageSave.ts\n│ │ ├── useNavigationGuard.ts\n│ │ └── useStack.ts\n│ ├── services/\n│ │ └── MicrositeAPIService.ts # Accepts baseUrl as param\n│ ├── types/\n│ │ └── types.ts\n│ ├── utils/\n│ │ ├── componentUtils.ts\n│ │ └── micrositeUtils.ts\n│ └── styles/\n│ ├── globals.scss\n│ └── shared.module.scss\n├── package.json\n├── tsconfig.json\n├── jest.config.ts\n└── README.md\n```\n\n---\n\n#### 4. @rahi/template-designer-lib\n\n```\ntemplate-designer-lib/\n├── src/\n│ ├── index.ts # Public exports\n│ ├── components/\n│ │ ├── TemplateDesigner/\n│ │ │ ├── TemplateDesigner.tsx # Main template designer\n│ │ │ ├── TemplateDesigner.module.scss\n│ │ │ └── index.ts\n│ │ ├── TemplateViewer/ # Read-only viewer\n│ │ │ ├── TemplateViewer.tsx\n│ │ │ └── index.ts\n│ │ ├── TemplateBuilder/\n│ │ ├── TemplateControlPanel/\n│ │ ├── ComponentRenderer/\n│ │ ├── PropertiesPane/\n│ │ └── [other internal components]\n│ ├── contexts/ # Internal contexts (wrapped)\n│ │ └── TemplateDesignerContext.tsx\n│ ├── hooks/\n│ │ ├── useDebounce.ts\n│ │ ├── useNavigationGuard.ts\n│ │ └── useSearch.ts\n│ ├── services/\n│ │ └── TemplateAPIService.ts # Accepts baseUrl as param\n│ ├── types/\n│ │ └── types.ts\n│ ├── utils/\n│ │ └── templateUtils.ts\n│ └── styles/\n│ ├── globals.scss\n│ └── shared.module.scss\n├── package.json\n├── tsconfig.json\n├── jest.config.ts\n└── README.md\n```\n\n---\n\n#### 5. @rahi/access-config-lib\n\n```\naccess-config-lib/\n├── src/\n│ ├── index.ts # Public exports\n│ ├── components/\n│ │ ├── AccessConfigEditor/\n│ │ │ ├── AccessConfigEditor.tsx # Main access config editor\n│ │ │ ├── AccessConfigEditor.module.scss\n│ │ │ └── index.ts\n│ │ ├── AccessConfigViewer/ # Read-only viewer\n│ │ │ ├── AccessConfigViewer.tsx\n│ │ │ └── index.ts\n│ │ ├── PermissionBuilder/\n│ │ ├── RoleManager/\n│ │ └── [other internal components]\n│ ├── contexts/ # Internal contexts (wrapped)\n│ │ └── AccessConfigContext.tsx\n│ ├── hooks/\n│ │ ├── useDebounce.ts\n│ │ └── useNavigationGuard.ts\n│ ├── services/\n│ │ └── AccessConfigAPIService.ts # Accepts baseUrl as param\n│ ├── types/\n│ │ └── types.ts\n│ ├── utils/\n│ │ └── accessConfigUtils.ts\n│ └── styles/\n│ ├── globals.scss\n│ └── shared.module.scss\n├── package.json\n├── tsconfig.json\n├── jest.config.ts\n└── README.md\n```\n\n---\n\n#### 6. @rahi/shared-ui-lib\n\n```\nshared-ui-lib/\n├── src/\n│ ├── index.ts\n│ ├── components/\n│ │ ├── Tooltip/\n│ │ ├── InlineLoader/\n│ │ ├── UserNotification/\n│ │ ├── FloatingMenu/\n│ │ ├── ConfirmDialog/\n│ │ ├── ToggleSwitch/\n│ │ ├── SelectDropdown/\n│ │ ├── MultiSelectDropdown/\n│ │ └── SVGIcons/\n│ ├── hooks/\n│ │ ├── useDebounce.ts\n│ │ ├── useUiSorting.ts\n│ │ └── useSearch.ts\n│ ├── types/\n│ │ └── types.ts\n│ └── styles/\n│ └── shared.scss\n├── package.json\n├── tsconfig.json\n└── README.md\n```\n\n**Note:** This library consolidates duplicate components across all projects.\n\n---\n\n### Portal-UI Project Structure\n\n```\nportal-ui/\n├── public/\n│ └── health/\n│ └── index.html\n├── src/\n│ ├── app/\n│ │ ├── globals.css\n│ │ ├── layout.tsx # Root layout (no auth check)\n│ │ ├── api/\n│ │ │ └── config/\n│ │ │ └── route.ts # Config endpoint\n│ │ ├── (auth)/ # Auth route group (public)\n│ │ │ ├── layout.tsx\n│ │ │ └── login/\n│ │ │ └── page.tsx # Employee login page\n│ │ └── (protected)/ # Protected route group\n│ │ ├── layout.tsx # Auth guard + shell layout\n│ │ ├── page.tsx # Dashboard/redirect\n│ │ │\n│ │ ├── workspaces/\n│ │ │ ├── page.tsx # Workspace list (listing)\n│ │ │ └── [workspaceCode]/\n│ │ │ ├── page.tsx # Workspace dashboard\n│ │ │ │\n│ │ │ ├── microsites/\n│ │ │ │ ├── page.tsx # Microsite list (listing)\n│ │ │ │ └── [micrositeSlug]/\n│ │ │ │ └── [version]/\n│ │ │ │ └── edit/\n│ │ │ │ └── page.tsx # \n│ │ │ │\n│ │ │ ├── templates/\n│ │ │ │ ├── page.tsx # Template list (listing)\n│ │ │ │ └── [templateId]/\n│ │ │ │ └── page.tsx # \n│ │ │ │\n│ │ │ ├── workflows/\n│ │ │ │ ├── page.tsx # Workflow list (listing)\n│ │ │ │ └── [workflowCode]/\n│ │ │ │ └── [version]/\n│ │ │ │ └── edit/\n│ │ │ │ └── page.tsx # \n│ │ │ │\n│ │ │ └── rulesets/\n│ │ │ ├── page.tsx # Ruleset list (listing)\n│ │ │ └── [rulesetCode]/\n│ │ │ └── [version]/\n│ │ │ └── edit/\n│ │ │ └── page.tsx # \n│ │ │\n│ │ ├── access-controls/\n│ │ │ ├── page.tsx # Access control list (listing)\n│ │ │ └── [accessConfigCode]/\n│ │ │ └── page.tsx # \n│ │ │\n│ │ └── portal-menu/\n│ │ └── page.tsx # Portal menu configurator\n│ │\n│ ├── components/\n│ │ ├── AppShell/\n│ │ │ ├── AppShell.tsx\n│ │ │ └── AppShell.module.scss\n│ │ ├── Header/\n│ │ │ ├── Header.tsx\n│ │ │ └── Header.module.scss\n│ │ ├── Sidebar/\n│ │ │ ├── Sidebar.tsx\n│ │ │ └── Sidebar.module.scss\n│ │ ├── WorkspaceSwitcher/\n│ │ │ └── WorkspaceSwitcher.tsx\n│ │ ├── AppSwitcher/\n│ │ │ └── AppSwitcher.tsx\n│ │ ├── AuthGuard/\n│ │ │ └── AuthGuard.tsx\n│ │ ├── LoginForm/\n│ │ │ ├── LoginForm.tsx\n│ │ │ └── LoginForm.module.scss\n│ │ │\n│ │ ├── listings/ # Listing components (moved here)\n│ │ │ ├── WorkspaceList/\n│ │ │ ├── WorkflowList/\n│ │ │ ├── RulesetList/\n│ │ │ ├── MicrositeList/\n│ │ │ ├── TemplateList/\n│ │ │ └── AccessConfigList/\n│ │ │\n│ │ ├── SVGIcons/\n│ │ │ └── [icons].tsx\n│ │ ├── UserNotification/\n│ │ │ └── UserNotification.tsx\n│ │ └── Tooltip/\n│ │ └── Tooltip.tsx\n│ │\n│ ├── contexts/\n│ │ ├── AuthContext.tsx\n│ │ ├── ConfigContext.tsx\n│ │ ├── WorkspaceContext.tsx\n│ │ └── HeaderContext.tsx\n│ │\n│ ├── services/\n│ │ ├── APIService.ts\n│ │ ├── AuthService.ts\n│ │ ├── WorkspaceService.ts\n│ │ ├── WorkflowListService.ts # For listing only\n│ │ ├── RulesetListService.ts # For listing only\n│ │ ├── MicrositeListService.ts # For listing only\n│ │ └── TemplateListService.ts # For listing only\n│ │\n│ ├── hooks/\n│ │ ├── useAuth.ts\n│ │ ├── useWorkspace.ts\n│ │ ├── useUiSorting.ts\n│ │ └── useSearch.ts\n│ │\n│ ├── types/\n│ │ └── types.ts\n│ │\n│ ├── utils/\n│ │ ├── properties-parser.ts\n│ │ ├── constants.ts\n│ │ └── searchUtils.ts\n│ │\n│ ├── fonts/\n│ │ └── baseFonts.ts\n│ │\n│ └── styles/\n│ ├── shared.module.scss\n│ └── tenant-styles/ # Tenant theming system\n│ ├── themes/\n│ │ ├── default.css # Default tenant (Rahi)\n│ │ └── [tenant].css # Tenant overrides\n│ ├── tenantConfig.ts # Tenant CSS map & loader\n│ └── index.css # Re-exports default theme\n│\n├── Dockerfile\n├── jenkinsfile\n├── jest.config.ts\n├── jest.setup.ts\n├── next.config.ts\n├── package.json\n├── sonar-project.properties\n└── tsconfig.json\n```\n\n---\n\n### Library Component Usage in Portal-UI\n\nLibrary components are used in Portal-UI route pages. Each editor component **must be wrapped with `next/dynamic`** for lazy loading and code splitting.\n\n#### Lazy Loading Pattern\n\n```tsx\n// portal-ui/src/app/(protected)/workspaces/[workspaceCode]/workflows/[workflowCode]/[version]/edit/page.tsx\n\"use client\";\n\nimport dynamic from \"next/dynamic\";\nimport { InlineLoader } from \"@/components/InlineLoader\";\n\n// Lazy load the library component - only downloaded when this route is visited\nconst WorkflowEditor = dynamic(\n () => import(\"@rahi/workflow-designer-lib\").then((mod) => mod.WorkflowEditor),\n {\n loading: () => ,\n ssr: false, // Disable SSR for complex editor components\n },\n);\n\nexport default function WorkflowEditPage() {\n // ... page implementation using \n}\n```\n\n**Key Points:**\n\n1. **Use `next/dynamic`** - Wraps the import to enable code splitting\n2. **SSR disabled** - Editor components typically require browser APIs; set `ssr: false`\n3. **Loading state** - Provide a loading component for better UX during chunk download\n4. **Per-route splitting** - Each editor route loads only the library it needs\n\nThis ensures that the workflow-designer-lib bundle (~500KB+) is only downloaded when a user navigates to `/workspaces/:code/workflows/:id/:version/edit`, not on initial app load.\n\n---\n\n### Context Encapsulation Pattern\n\nEach library must encapsulate its contexts internally while accepting external dependencies as props. The main editor component wraps all internal context providers and accepts configuration via props (baseUrl, workspaceCode). An `InternalConfigProvider` makes these values available to child components and API services.\n\n---\n\n### API Service Modification Pattern\n\nAPI services in libraries must accept `baseUrl` as a parameter instead of reading from context. The pattern changes from using hooks directly in service functions to accepting configuration as function parameters. A hook wrapper (`useWorkflowAPI`) can be provided for convenient use within components, internally using `useInternalConfig` to retrieve the configuration.\n\n---\n\n### Modifications Required to Existing Projects\n\n#### 1. Workflow-Designer\n\n##### What Gets Extracted (to workflow-designer-lib)\n\n| Category | Items |\n| -------------- | ----------------------------------------------------------------------------------------------------------------------------------- |\n| **Components** | `WorkflowEditor`, `Canvas`, `ControlPanel`, `Node`, `Pane`, `Panes/*`, `Grid`, `State`, `NodeTypeMenu`, `CreatePane`, `VersionPane` |\n| **Contexts** | All 10 contexts |\n| **Hooks** | All hooks except app-specific ones |\n| **Services** | `WorkflowAPIService` (modified to accept baseUrl) |\n| **Types** | All types |\n| **Utils** | All utils |\n| **Styles** | All SCSS modules |\n\n##### What Stays (for standalone development/testing)\n\n| Category | Items |\n| -------------- | ----------------------------------------------------------- |\n| **Pages** | `/workflows` (listing), `/workflows/[code]/[version]/edit` |\n| **Components** | `Header` (for standalone mode), `WorkflowList` |\n| **Config** | `next.config.ts`, `jest.config.ts`, Dockerfile, jenkinsfile |\n\n##### What Moves to Portal-UI\n\n| Category | Items |\n| -------------- | ---------------------------------------- |\n| **Pages** | Workflow listing page logic |\n| **Components** | `WorkflowList` component |\n| **Services** | `WorkflowListService` (list/search only) |\n\n#### 2. Rule-Designer\n\n##### What Gets Extracted (to rule-designer-lib)\n\n| Category | Items |\n| -------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Components** | `RulesetEditor`, `RuleBuilder`, `RuleCard`, `RuleEditor`, `DecisionTableBuilder`, `ActionBuilder/*`, `ControlPanel`, `Pane/*`, `SidePane`, `SetResultBuilder`, `SetVariableBuilder` |\n| **Contexts** | All 6 contexts |\n| **Hooks** | All hooks |\n| **Services** | All services (modified to accept baseUrl) |\n| **Types** | All types |\n| **Utils** | All utils |\n| **Styles** | All SCSS modules |\n\n##### What Stays (for standalone development/testing)\n\n| Category | Items |\n| -------------- | ----------------------------------------------------------- |\n| **Pages** | `/rulesets` (listing), `/rulesets/[id]/[version]/edit` |\n| **Components** | `Header` (for standalone mode), `RulesetList` |\n| **Config** | `next.config.ts`, `jest.config.ts`, Dockerfile, jenkinsfile |\n\n##### What Moves to Portal-UI\n\n| Category | Items |\n| -------------- | --------------------------------------- |\n| **Pages** | Ruleset listing page logic |\n| **Components** | `RulesetList` component |\n| **Services** | `RulesetListService` (list/search only) |\n\n#### 3. UI-Configurator\n\n##### What Gets Extracted (to microsite-designer-lib)\n\n| Category | Items |\n| -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Components** | `MicrositeEditor`, `MicrositeBuilder`, `MicrositeControlPanel`, `ComponentRenderer`, `PropertiesPaneV2`, `PropertyPanels/*`, `PreviewWindow`, `AvailableBlocksPanel`, `StructurePanel`, `DataModelPanel` |\n| **Contexts** | `ConfiguratorModeContext`, `ControlPanelContext`, `DragContext`, `MicrositeContext`, `PropertiesContext`, `UserTaskContext` (6) |\n| **Hooks** | Microsite-specific hooks |\n| **Services** | `MicrositeAPIService` (modified to accept baseUrl) |\n| **Types** | Microsite-related types |\n| **Utils** | `componentUtils.ts`, `micrositeUtils.ts` |\n| **Styles** | Microsite-related SCSS modules |\n\n##### What Gets Extracted (to template-designer-lib)\n\n| Category | Items |\n| -------------- | ------------------------------------------------------------------------------------------ |\n| **Components** | `TemplateDesigner`, `TemplateBuilder`, `TemplateControlPanel`, related internal components |\n| **Contexts** | `TemplateDesignerContext` (1) |\n| **Hooks** | Template-specific hooks |\n| **Services** | `TemplateAPIService` (modified to accept baseUrl) |\n| **Types** | Template-related types |\n| **Utils** | `templateUtils.ts` |\n| **Styles** | Template-related SCSS modules |\n\n##### What Gets Extracted (to access-config-lib)\n\n| Category | Items |\n| -------------- | ------------------------------------------------------------------------------------- |\n| **Components** | `AccessConfigEditor`, `PermissionBuilder`, `RoleManager`, related internal components |\n| **Contexts** | `AccessConfigContext` (1) |\n| **Hooks** | Access config-specific hooks |\n| **Services** | `AccessConfigAPIService` (modified to accept baseUrl) |\n| **Types** | Access config-related types |\n| **Utils** | `accessConfigUtils.ts` |\n| **Styles** | Access config-related SCSS modules |\n\n##### What Stays (for standalone development/testing)\n\n| Category | Items |\n| -------------- | ----------------------------------------------------------- |\n| **Pages** | All current routes (for standalone testing) |\n| **Components** | `HeaderV2` (for standalone mode) |\n| **Config** | `next.config.ts`, `jest.config.ts`, Dockerfile, jenkinsfile |\n\n##### What Moves to Portal-UI\n\n| Category | Items |\n| -------------- | -------------------------------------------------------------------------------------------------- |\n| **Pages** | `/workspaces`, `/workspaces/[code]`, `/templates`, `/microsites`, `/access-controls` listing pages |\n| **Components** | `WorkspaceList`, `MicrositeList`, `TemplateList`, `AccessConfigList`, `MenuConfigurator` |\n| **Services** | Listing services only |\n\n---\n\n### Routing Strategy\n\n#### URL Structure\n\n| Route | Description | Source |\n| -------------------------------------------------- | ------------------------ | ------------------------ |\n| `/login` | Employee login page | portal-ui |\n| `/workspaces` | Workspace list | portal-ui (listing) |\n| `/workspaces/:code` | Workspace dashboard | portal-ui |\n| `/workspaces/:code/microsites` | Microsite list | portal-ui (listing) |\n| `/workspaces/:code/microsites/:slug/:version/edit` | Microsite editor | `` |\n| `/workspaces/:code/templates` | Template list | portal-ui (listing) |\n| `/workspaces/:code/templates/:id` | Template designer | `` |\n| `/workspaces/:code/workflows` | Workflow list | portal-ui (listing) |\n| `/workspaces/:code/workflows/:id/:version/edit` | Workflow editor | `` |\n| `/workspaces/:code/rulesets` | Ruleset list | portal-ui (listing) |\n| `/workspaces/:code/rulesets/:id/:version/edit` | Ruleset editor | `` |\n| `/access-controls` | Access control list | portal-ui (listing) |\n| `/access-controls/:code` | Access config editor | `` |\n| `/portal-menu` | Portal menu configurator | portal-ui |\n\n---\n\n### Authentication Flow\n\nAuthentication remains unchanged from the micro-frontend approach. Auth tokens are managed via HTTP-only cookies set by the backend. The `AuthContext` manages user state, provides login/logout functions, and stores user details in sessionStorage.\n\n---\n\n### Styling Strategy\n\n#### Tenant Stylesheet Integration\n\nPortal-UI serves as the **single source of truth** for all design tokens via the tenant stylesheet system. All libraries inherit CSS variables from the DOM at runtime — no bundling of styles into each library is required.\n\n**Key Principles:**\n\n1. **Host Provides Variables** - Portal-UI imports `default.css` in the root layout, making all `--ts-*` variables available globally\n2. **Libraries Consume Variables** - All libraries reference `var(--ts-*)` without fallbacks — the host guarantees these variables exist\n3. **No Duplication** - Libraries do NOT define their own color/spacing/typography variables\n4. **Runtime Inheritance** - CSS variables cascade from portal-ui's DOM to all rendered library components\n\n#### Unified Variable Naming Convention\n\n**Prefix:** `--ts-` (tenant-styles)\n\n| Category | Example Tokens |\n| --------------------- | -------------------------------------------------------------------------- |\n| **Primary Palette** | `--ts-primary`, `--ts-primary-dark`, `--ts-primary-50` to `--ts-600` |\n| **Secondary Palette** | `--ts-secondary`, `--ts-secondary-dark`, `--ts-secondary-50` to `--ts-600` |\n| **Grays** | `--ts-gray-50` through `--ts-gray-850` |\n| **Semantic** | `--ts-error`, `--ts-success`, `--ts-warning`, `--ts-info` |\n| **Text** | `--ts-text`, `--ts-text-secondary`, `--ts-text-muted` |\n| **Surfaces** | `--ts-background`, `--ts-surface`, `--ts-surface-raised` |\n| **Typography** | `--ts-font-family`, `--ts-font-size-base`, `--ts-spacing-md` |\n\n#### CSS Isolation (Component-Level)\n\nWhile design tokens are shared, component styles remain isolated:\n\n1. **SCSS Modules** - All component styles use `.module.scss` files\n2. **Unique Class Prefixes** - BEM naming with library prefix\n - `wf-*` for workflow-designer-lib\n - `rd-*` for rule-designer-lib\n - `ms-*` for microsite-designer-lib\n - `td-*` for template-designer-lib\n - `ac-*` for access-config-lib\n3. **Tenant Variables** - Components use `var(--ts-*)` for colors, spacing, and typography\n\n#### Library SCSS Guidelines\n\nLibraries must follow these rules for tenant style compatibility:\n\n1. **Use tenant variables for all colors:**\n\n ```scss\n // ✅ Correct\n .wf-canvas {\n background: var(--ts-background);\n }\n .wf-node {\n border-color: var(--ts-primary);\n }\n\n // ❌ Wrong - hardcoded colors\n .wf-canvas {\n background: #f3f5f7;\n }\n ```\n\n2. **Use tenant variables for typography:**\n\n ```scss\n .wf-label {\n font-family: var(--ts-font-family);\n font-size: var(--ts-font-size-base);\n color: var(--ts-text);\n }\n ```\n\n3. **Use tenant variables for spacing:**\n\n ```scss\n .wf-panel {\n padding: var(--ts-spacing-md);\n gap: var(--ts-spacing-sm);\n }\n ```\n\n4. **No fallback values** - The host guarantees all variables exist:\n\n ```scss\n // ✅ Correct - no fallback\n color: var(--ts-primary);\n\n // ❌ Wrong - unnecessary fallback\n color: var(--ts-primary, #00a79d);\n ```\n\n#### Runtime Tenant Switching\n\nFor multi-tenant deployments, portal-ui dynamically loads tenant-specific CSS overrides:\n\n1. `default.css` is always loaded in the root layout\n2. Tenant-specific CSS (e.g., `stft.css`) is loaded dynamically based on tenant ID\n3. Tenant files only override variables that differ from default\n4. All libraries automatically reflect tenant colors without rebuild\n\n---\n\n### Build & Publish Strategy\n\n#### Library Build Configuration\n\nEach library uses TypeScript compilation with ES2020 target, declaration files generation, and React JSX transform. The output goes to a `dist/` directory.\n\n#### Post-Build Script\n\nA post-build script copies SCSS files from `src/` to `dist/` to ensure styles are available in the published package.\n\n#### Publishing Workflow\n\nLibraries are published via CI/CD (GitHub Actions or Jenkins) when changes are pushed to the main branch. Each library is built and published independently.\n\n---\n\n### Development Workflow\n\n#### Repository Structure\n\nEach library and application maintains its own Git repository:\n\n| Repository | Type | Description |\n| ------------------------ | ----------- | --------------------------------------- |\n| `portal-ui` | Application | Main shell app (enhanced) |\n| `workflow-designer-lib` | Library | Workflow editor components |\n| `rule-designer-lib` | Library | Ruleset editor components |\n| `microsite-designer-lib` | Library | Microsite editor components |\n| `template-designer-lib` | Library | Template designer components |\n| `access-config-lib` | Library | Access config editor components |\n| `shared-ui-lib` | Library | Shared UI components |\n| `condition-builder-lib` | Library | Existing - condition/expression builder |\n| `web-renderer-lib` | Library | Existing - microsite renderer |\n\n#### Local Development Setup\n\n**Important:** Next.js 16 with Turbopack has compatibility issues with npm-linked packages. The recommended approach for local development is to copy compiled libraries directly instead of using symlinks.\n\n##### Method 1: Direct Copy (Recommended for Next.js 16+)\n\n```bash\n# In library repo - build the library\ncd workflow-designer-lib\nnpm run build\n\n# In consuming app - copy the entire library folder\ncd ../portal-ui\nrm -rf node_modules/@rahi/workflow-designer-lib\ncp -r ../workflow-designer-lib node_modules/@rahi/\n```\n\n**Why direct copy instead of npm link?**\n\n- Next.js 16 Turbopack cannot resolve modules through symlinks created by `npm link`\n- Symlinks result in \"Module not found\" errors even with proper package.json exports\n- Direct copying ensures the library files are physically present in node_modules\n- This approach works reliably with both Turbopack and webpack\n\n##### Development Workflow Script\n\nCreate a helper script in portal-ui for easy library updates:\n\n```bash\n#!/bin/bash\n# scripts/sync-libs.sh\n\nLIBS=(\"shared-ui-lib\" \"workflow-designer-lib\" \"rule-designer-lib\" \"microsite-designer-lib\")\n\nfor lib in \"${LIBS[@]}\"; do\n echo \"Syncing $lib...\"\n (cd ../@rahi/$lib && npm run build)\n rm -rf node_modules/@rahi/$lib\n cp -r ../@rahi/$lib node_modules/@rahi/\ndone\n\necho \"✅ All libraries synced\"\n```\n\nUsage:\n\n```bash\nchmod +x scripts/sync-libs.sh\n./scripts/sync-libs.sh\n```\n\n##### Portal-UI Next.js Configuration\n\nThe `next.config.ts` must include all library packages in `transpilePackages`:\n\n```typescript\nimport type { NextConfig } from \"next\";\n\nconst nextConfig: NextConfig = {\n transpilePackages: [\n \"@rahi/shared-ui-lib\",\n \"@rahi/workflow-designer-lib\",\n \"@rahi/rule-designer-lib\",\n \"@rahi/microsite-designer-lib\",\n \"@rahi/template-designer-lib\",\n \"@rahi/access-config-lib\",\n ],\n};\n\nexport default nextConfig;\n```\n\nThis tells Next.js to compile these packages as part of the build process, which is essential for local development.\n\n##### Method 2: npm link (Legacy - Not Recommended)\n\n`npm link` creates symbolic links but is **incompatible with Next.js 16 Turbopack**. If you must use it (e.g., for older Next.js versions or webpack-only builds):\n\n```bash\n# In library repo\ncd workflow-designer-lib\nnpm run build\nnpm link\n\n# In consuming app\ncd ../portal-ui\nnpm link @rahi/workflow-designer-lib\n```\n\n**Limitations:**\n\n- Does not work with Next.js 16+ Turbopack\n- Causes \"Module not found\" errors\n- Requires manual cache clearing (`rm -rf .next`)\n- Not recommended for production-like testing\n\n#### Version Management\n\nEach library maintains independent versioning. Use semantic versioning (major.minor.patch) and update consuming applications when publishing new library versions.\n\n**Versioning Strategy:**\n\n- **Major version** - Breaking changes to public API (component props, exports)\n- **Minor version** - New features, non-breaking additions\n- **Patch version** - Bug fixes, internal improvements\n\nWhen updating a library version in portal-ui, update `package.json` and run `npm install` to fetch the published version from npm registry.\n\n---\n\n### Troubleshooting Common Issues\n\n#### Module Not Found Errors\n\n**Symptom:** `Module not found: Can't resolve '@rahi/workflow-designer-lib'`\n\n**Causes & Solutions:**\n\n1. **Using npm link with Next.js 16 Turbopack**\n - **Solution:** Use direct copy method instead (see Local Development Setup)\n - Run: `rm -rf node_modules/@rahi && cp -r ../@rahi/* node_modules/@rahi/`\n\n2. **Missing transpilePackages configuration**\n - **Solution:** Add all library packages to `next.config.ts`:\n\n ```typescript\n transpilePackages: [\n \"@rahi/shared-ui-lib\",\n \"@rahi/workflow-designer-lib\",\n // ... other libraries\n ],\n ```\n\n3. **Stale Next.js cache**\n - **Solution:** Clear the cache: `rm -rf .next && npm run dev`\n\n4. **Library not built**\n - **Solution:** Build the library first: `cd workflow-designer-lib && npm run build`\n\n#### CSS/SCSS Module Errors\n\n**Symptom:** SCSS imports fail or styles don't apply\n\n**Causes & Solutions:**\n\n1. **Missing SCSS files in dist/**\n - **Solution:** Ensure `postbuild.js` copies SCSS files to dist\n - Verify: `ls -la node_modules/@rahi/workflow-designer-lib/dist/components/*/`\n\n2. **CSS Module type declarations missing**\n - **Solution:** Add `global.d.ts` in library src/:\n ```typescript\n declare module \"*.module.scss\" {\n const classes: { [key: string]: string };\n export default classes;\n }\n ```\n\n#### Component Rendering Issues\n\n**Symptom:** Component renders but lacks styling or functionality\n\n**Causes & Solutions:**\n\n1. **Client-only components rendered on server**\n - **Solution:** Wrap with `next/dynamic` with `ssr: false`:\n\n ```tsx\n const WorkflowEditor = dynamic(\n () =>\n import(\"@rahi/workflow-designer-lib\").then((mod) => mod.WorkflowEditor),\n { ssr: false },\n );\n ```\n\n2. **Tenant CSS variables not available**\n - **Solution:** Ensure `default.css` is imported in root layout:\n\n ```tsx\n import \"@/styles/tenant-styles/themes/default.css\";\n ```\n\n3. **Missing peer dependencies**\n - **Solution:** Verify React versions match between library and portal-ui\n - Run: `npm list react react-dom` in both projects\n\n#### Build/Compilation Errors\n\n**Symptom:** TypeScript compilation errors or build failures\n\n**Causes & Solutions:**\n\n1. **TypeScript version mismatch**\n - **Solution:** Ensure all projects use compatible TypeScript versions\n - Align to: `\"typescript\": \"^5.x\"`\n\n2. **Incorrect tsconfig paths**\n - **Solution:** Portal-UI should NOT use path aliases for npm packages\n - Remove any `\"@rahi/*\"` entries from tsconfig.json `paths`\n\n3. **Missing types in library**\n - **Solution:** Verify library builds `.d.ts` files: `ls dist/*.d.ts`\n - Check `tsconfig.json` has: `\"declaration\": true`\n\n---\n\n### Key Decisions Summary\n\n| Decision | Choice | Rationale |\n| -------------------- | ------------------------------------ | ------------------------------------------------ |\n| Architecture | React Libraries + Shell App | Proven pattern with existing libs, single deploy |\n| Repository Structure | Separate repos per library/app | Independent versioning, clear ownership |\n| Package Manager | npm | Standard, widely supported |\n| Context Management | Internal encapsulation per library | Clean API, no context leakage |\n| API Configuration | Props-based (baseUrl, workspaceCode) | Flexibility, testability |\n| Styling | SCSS Modules with tenant variables | Isolation, unified theming |\n| Shared Components | shared-ui-lib | Reduce duplication |\n| Testing | Jest + RTL (existing) | Consistency, team familiarity |\n| Build Output | TypeScript + SCSS compilation | Same as existing libs |\n| Header | Shell provides unified header | Consistent UX, libs hide internal headers |\n| Routing | Shell handles all routing | Single source of truth |\n| Auth | HTTP-only cookies (unchanged) | Security, already implemented |\n","filename":"23 - Portal UI - Library Integration.md","format":"Markdown","order":23,"title":""},{"content":"## Session Management System\n\n### Overview\n\nThis document describes the design and implementation approach for an advanced session management system that handles user authentication, activity tracking, automatic token refresh, and session lifecycle management.\n\n### Requirements\n\n| Requirement | Specification |\n| -------------------------- | ---------------------------------------------------------------- |\n| **Activity Trigger** | Any API call marks session as active |\n| **Inactivity Timeout** | 3 minutes (180,000 ms) |\n| **Token Refresh Interval** | 2 minutes (120,000 ms) while session is active |\n| **Inactive Behavior** | Pause token refresh, wait for user activity |\n| **Resume Behavior** | Refresh token once → proceed with API → restart periodic refresh |\n| **401 Handling** | Force logout + navigate to /login |\n\n---\n\n### Architecture Overview\n\n#### Component Hierarchy\n\nThe system consists of four main layers:\n\n1. **Application Layer**: MicrositePage, LoginForm, and other UI components\n2. **UserSessionContext**: React Context providing global session state and lifecycle management\n3. **SessionManagerService**: Core logic handling activity tracking, timers, and state management\n4. **Enhanced API Services**: Wrapped APIService.ts and ExternalAPIService.ts with activity tracking and 401 handling\n\n---\n\n### Session State Machine\n\nThe session lifecycle follows a state machine with four distinct states:\n\n- **INITIAL → ACTIVE** (via login)\n- **ACTIVE ↔ INACTIVE** (via inactivity timeout or activity)\n- **Any State → LOGGED_OUT** (via 401 or manual logout)\n\n#### State Descriptions\n\n- **INITIAL**: No active session, user not logged in\n- **ACTIVE**: User logged in, token refresh running every 2 minutes\n- **INACTIVE**: No activity for 3+ minutes, token refresh paused\n- **LOGGED_OUT**: Session terminated, user must re-authenticate\n\n---\n\n### Detailed Flow Diagrams\n\n#### Initial Login & Token Refresh Start\n\n1. User logs in successfully\n2. Store user details in sessionStorage with key \"global.login.userDetails\"\n3. Call initializeSession()\n4. Set session state = ACTIVE\n5. Start inactivity timer (3 minutes)\n6. Start periodic token refresh (every 2 minutes)\n7. Navigate to application\n\n#### Session Becomes Inactive\n\n1. No API calls or activity for 3 minutes\n2. Inactivity timer fires\n3. Set session state = INACTIVE\n4. Stop periodic token refresh timer\n5. Keep inactivity timer active (waiting for activity to resume session)\n6. Log event: \"Session became inactive\"\n\n#### Session Resume (Inactive → Active)\n\n1. User makes API call after inactivity\n2. notifyActivity() called\n3. Detect session state = INACTIVE\n4. Refresh token ONCE (synchronous)\n - If success: Continue to next step\n - If failed: Force logout immediately\n5. Set session state = ACTIVE\n6. Process the original API call\n7. Reset inactivity timer (3 minutes)\n8. Restart periodic token refresh (every 2 minutes)\n9. Log event: \"Session resumed\"\n\n#### 401 Response Handling\n\n1. API returns 401 Unauthorized\n2. Call SessionManager.handle401()\n3. Stop all timers (inactivity timer and token refresh timer)\n4. Call logout API: POST /api/v2/auth/logout\n5. Clear all storage (sessionStorage and localStorage)\n6. Set session state = LOGGED_OUT\n7. Dispatch \"session-logout\" event\n8. Navigate to /login\n\n---\n\n### File Structure\n\n#### New Files to Create\n\n**portal-ui/src/app/**\n\n- `types/session.types.ts` - TypeScript interfaces\n- `services/SessionManagerService.ts` - Core session logic\n- `context/UserSessionContext.tsx` - React context provider\n- `hooks/useSessionManager.ts` - Convenience hook\n\n**web-renderer-lib/src**\n\n- `hooks/useSessionActivity.ts` - Activity notifier\n\n#### Files to Modify\n\n**portal-ui/src/app**\n\n- `utils/constants.ts` - Add SESSION_CONSTANTS\n- `services/APIService.ts` - Add activity tracking\n- `hooks/useLogout.ts` - Integrate with session manager\n- `components/LoginForm/LoginForm.tsx` - Initialize session\n- `components/MicrositePage/MicositePage.tsx` - Use session context\n- `layout.tsx` - Add UserSessionProvider\n\n**web-renderer-lib/src/services**\n\n- `ExternalAPIService.ts` - Add activity tracking & 401 handling\n\n---\n\n### Implementation Details\n\n#### 1. Session Constants (`utils/constants.ts`)\n\nDefine SESSION_CONSTANTS with:\n\n- **INACTIVITY_TIMEOUT_MS**: 3 minutes (180,000 ms) - Time before session marked inactive\n- **TOKEN_REFRESH_INTERVAL_MS**: 2 minutes (120,000 ms) - Periodic token refresh interval\n- **ACTIVITY_THROTTLE_MS**: 10 seconds (10,000 ms) - Throttle for DOM activity events\n- **INACTIVITY_WARNING_MS**: 2.5 minutes (150,000 ms) - Optional warning time\n- **TOKEN_REFRESH_ENDPOINT**: \"/api/v2/auth/refresh\"\n- **LOGOUT_ENDPOINT**: \"/api/v2/auth/logout\"\n\n#### 2. Session Types (`types/session.types.ts`)\n\n**SessionState Enum**:\n\n- INITIAL - No active session\n- ACTIVE - Logged in, refreshing tokens\n- INACTIVE - No activity, refresh paused\n- LOGGED_OUT - Session terminated\n\n**SessionConfig Interface**:\n\n- inactivityTimeout: number\n- tokenRefreshInterval: number\n- activityEvents?: string[]\n\n**SessionManagerState Interface**:\n\n- state: SessionState\n- lastActivityTime: number\n- tokenLastRefreshed: number\n- isRefreshing: boolean\n\n**SessionManager Interface** with methods:\n\n- initialize(), notifyActivity(), refreshToken(), handle401(), handleLogout()\n- isActive(), isInactive(), getTimeSinceLastActivity()\n- subscribe(), destroy()\n\n#### 3. SessionManagerService (Core Logic)\n\n##### Key Methods\n\n###### `initialize()`\n\n- Sets session state to ACTIVE\n- Starts inactivity timer (3 minutes)\n- Starts periodic token refresh timer (2 minutes)\n- Called after successful login\n\n###### `notifyActivity()`\n\n- Called on every API call\n- Updates lastActivityTime\n- If session is INACTIVE, triggers resumeSession()\n- If session is ACTIVE, resets inactivity timer\n\n###### `becomeInactive()` (Private)\n\n- Triggered by inactivity timer (after 3 minutes)\n- Sets session state to INACTIVE\n- Stops periodic token refresh\n- Keeps inactivity timer running\n\n###### `resumeSession()` (Private)\n\n- Called when activity detected while INACTIVE\n- Refreshes token once (synchronous)\n- If token refresh succeeds:\n - Sets state to ACTIVE\n - Restarts inactivity timer\n - Restarts periodic token refresh\n - Returns true\n- If token refresh fails:\n - Calls handleLogout()\n - Returns false\n\n###### `refreshToken()`\n\n- Uses mutex pattern to prevent concurrent refreshes\n- Calls `/api/v2/auth/refresh` endpoint\n- Includes user credentials from sessionStorage\n- Returns boolean success status\n\n###### `handle401()`\n\n- Called when any API returns 401 Unauthorized\n- Delegates to handleLogout()\n\n###### `handleLogout()`\n\n- Stops all timers\n- Calls logout API endpoint\n- Clears sessionStorage and localStorage\n- Sets state to LOGGED_OUT\n- Dispatches \"session-logout\" event\n- Navigation handled by event listener in components\n\n##### Timer Management\n\n**Inactivity Timer**: Uses setTimeout with SESSION_CONSTANTS.INACTIVITY_TIMEOUT_MS. Checks if state is ACTIVE before calling becomeInactive().\n\n**Token Refresh Timer**: Uses setInterval with SESSION_CONSTANTS.TOKEN_REFRESH_INTERVAL_MS. Only refreshes token when state is ACTIVE.\n\n##### Mutex Pattern for Token Refresh\n\nImplements mutex pattern to prevent concurrent refresh requests:\n\n- Check if refreshMutex exists, return existing promise if so\n- Store new refresh promise in refreshMutex\n- Clear refreshMutex in finally block\n- Ensures only one refresh operation at a time\n\n#### 4. UserSessionContext (React Integration)\n\n**UserSessionContextProps Interface** provides:\n\n- sessionState: SessionState\n- timeSinceLastActivity: number\n- isActive: boolean\n- isInactive: boolean\n- notifyActivity: () => void\n- initializeSession: () => void\n- logout: () => Promise\n- inactivityTimeout: number (exposed constant)\n- tokenRefreshInterval: number (exposed constant)\n\n##### Key Features\n\n- Wraps SessionManagerService in React context\n- Provides hooks for components to access session state\n- Updates UI automatically when session state changes\n- Exposes timing constants for display purposes\n\n#### 5. Enhanced API Services\n\n##### portal-ui APIService.ts Modifications\n\n1. Get SessionManagerService instance\n2. Call notifyActivity() on every request\n3. Check if session is inactive, wait for resume if needed\n4. Make the actual API call\n5. Handle 401 responses by calling sessionManager.handle401()\n6. Return response\n\n##### web-renderer-lib ExternalAPIService.ts Modifications\n\n1. Check if window.\\_\\_sessionManager is available\n2. Call notifyActivity() if available\n3. Keep existing implementation\n4. Enhanced 401 handling:\n - If sessionManager available: delegate to handle401()\n - Fallback: dispatch force-logout event and clear storage\n5. Remove old refresh logic in favor of session manager\n\n---\n\n### Integration Guide\n\n#### Step 1: Update constants.ts\n\nAdd SESSION_CONSTANTS to `portal-ui/src/app/utils/constants.ts`\n\n#### Step 2: Create Type Definitions\n\nCreate `portal-ui/src/app/types/session.types.ts` with all interfaces\n\n#### Step 3: Implement SessionManagerService\n\nCreate `portal-ui/src/app/services/SessionManagerService.ts` with full implementation\n\n#### Step 4: Create UserSessionContext\n\nCreate `portal-ui/src/app/context/UserSessionContext.tsx` with provider and hooks\n\n#### Step 5: Add Provider to Layout\n\nWrap application with `UserSessionProvider` in root layout\n\n#### Step 6: Update LoginForm\n\nCall `initializeSession()` after successful login\n\n#### Step 7: Update API Services\n\nModify both `APIService.ts` and `ExternalAPIService.ts` to:\n\n- Call `notifyActivity()` on every request\n- Handle session resume for inactive sessions\n- Delegate 401 handling to session manager\n\n#### Step 8: Update useLogout Hook\n\nIntegrate with session manager's `handleLogout()` method\n\n#### Step 9: Update MicrositePage\n\n- Use `useUserSession()` hook\n- Listen to \"session-logout\" event\n- Handle force logout scenarios\n\n---\n\n### Activity Detection Strategy\n\n#### Primary: API Call Activity\n\nEvery API call automatically triggers `notifyActivity()`, which:\n\n1. Updates `lastActivityTime` timestamp\n2. Checks if session needs to be resumed\n3. Resets inactivity timer if session is active\n\n#### Secondary: DOM Events (Optional)\n\nCan be enabled for additional activity detection:\n\nMonitor DOM events: mousedown, mousemove, keydown, scroll, touchstart, click. Use throttled notifyActivity() call with SESSION_CONSTANTS.ACTIVITY_THROTTLE_MS. Add passive event listeners for performance.\n\n**Note**: DOM event tracking is currently disabled by default. API calls are sufficient for most use cases.\n\n---\n\n### Testing Scenarios\n\n| Scenario | Setup | Expected Behavior | Verification |\n| ----------------------------- | ---------------------------------- | -------------------------------------- | ----------------------------------------- |\n| **Fresh Login** | User logs in | Session → ACTIVE, both timers start | Check sessionState, verify timers running |\n| **Active Session** | User active, makes API calls | Inactivity timer resets on each call | Timer should restart from 3 min |\n| **Become Inactive** | No activity for 3+ minutes | Session → INACTIVE, refresh stops | Token refresh timer cleared |\n| **Resume Session** | API call after 3+ min idle | Token refreshes once, session → ACTIVE | Single refresh, then API proceeds |\n| **Resume Failure** | API call after idle, refresh fails | Force logout, navigate to /login | Check LOGGED_OUT state |\n| **401 During Active** | API returns 401 while active | Logout, clear storage, go to /login | Verify logout API called |\n| **Manual Logout** | User clicks logout | All timers stop, storage cleared | Check all cleanup completed |\n| **Periodic Refresh** | Wait 2 min while active | Token refresh called automatically | Verify refresh API call |\n| **No Refresh When Inactive** | Session inactive, wait 2+ min | No token refresh calls | Monitor network, no refresh |\n| **Multiple Concurrent Calls** | Multiple APIs + refresh at once | Mutex prevents duplicate refreshes | Only one refresh in flight |\n\n---\n\n### Edge Cases & Considerations\n\n#### 1. Browser Tab Backgrounded/System Sleep\n\n**Problem**: Timers may not fire accurately when tab is inactive or system sleeps\n\n**Solution**:\n\n- On tab focus/visibility change, check elapsed time\n- If time since last activity > inactivity timeout, mark as inactive\n- Next API call will trigger resume flow\n- Use visibilitychange event listener to detect tab becoming visible\n\n#### 2. Network Offline\n\n**Problem**: Token refresh fails due to network, not auth issue\n\n**Solution**:\n\n- Detect network status\n- Queue refresh attempts\n- Show offline indicator\n- Retry when network returns\n\n#### 3. Multiple Concurrent 401s\n\n**Problem**: Several APIs might fail simultaneously with 401\n\n**Solution**:\n\n- Mutex in `handle401()` ensures single logout flow\n- Subsequent 401s wait for first logout to complete\n- No duplicate logout API calls\n\n#### 4. Token Refresh During Page Load\n\n**Problem**: Session state lost on page refresh\n\n**Solution**:\n\n- Check sessionStorage for user details on mount\n- If present, initialize session\n- Resume normal operation\n\n#### 5. Clock Skew\n\n**Problem**: System time changes affecting timers\n\n**Solution**:\n\n- Use `Date.now()` consistently\n- Don't rely on server timestamps\n- Use elapsed time calculations, not absolute times\n\n#### 6. Memory Leaks\n\n**Problem**: Timers not cleared on unmount\n\n**Solution**:\n\n- `destroy()` method clears all timers\n- Called in useEffect cleanup\n- Verified in component unmount tests\n\n#### 7. Race Condition: API Call + Periodic Refresh\n\n**Problem**: Both might try to refresh simultaneously\n\n**Solution**:\n\n- Mutex pattern ensures only one refresh at a time\n- Subsequent requests wait for in-flight refresh\n- No duplicate refresh API calls\n","filename":"24 - User Session Management.md","format":"Markdown","order":24,"title":""},{"content":"## Responsive Expandable Card Layout for Simple Table\n\n### Objective\n\nEnable a configurable mobile card-based layout for the existing simple table component (type: \"table\"). On screens at or below 768px width, tables with this feature enabled will render each row as an expandable card instead of a traditional table row. This is opt-in per table instance via DSL properties.\n\n---\n\n### Scope\n\n- New table-level DSL properties to enable and configure the card layout\n- New table-column-level DSL property to control per-column visibility in card view\n- Renderer changes in WebSimpleTable to render cards on mobile when enabled\n- Configurator changes to expose the new properties in the properties panel\n- SCSS for the card layout\n\n---\n\n### Reference Tables\n\nThis design is validated against two real-world tables:\n\n#### Table A — KYC Digital Activities (9 columns)\n\n| Column | Label | columnInputType | Data Key (via nameKeyIds) | Card Role |\n| ------ | -------------- | -------------------------- | -------------------------------------------------- | ---------------- |\n| 1 | Applicant Name | text | applicantFullName | Subtitle |\n| 2 | Document | text | activityName | Title |\n| 3 | Status | text + dynamic prefix icon | (no name; uses activityStatusLcode for icon color) | Status Indicator |\n| 4 | File(s) | routing-action | — | Action Button |\n| 5 | View File(s) | file-preview-action | fileReferenceId | Action Button |\n| 6 | Action | routing-action | activityProgramName | Action Button |\n| 7 | View | routing-action | — | Action Button |\n| 8 | Updated By | text | statusUpdatedBy | Expanded Detail |\n| 9 | Date & Time | text | activityUpdateDate | Expanded Detail |\n\n#### Table B — Application List (5 columns)\n\n| Column | Label | columnInputType | Data Key (via nameKeyIds) | Card Role |\n| ------ | ---------------- | ------------------------ | ------------------------- | --------------------- |\n| 1 | Application No. | text (isClickable) | applicationNumber | Title (clickable) |\n| 2 | Loan Type | text | productSetupCodeDesc | Subtitle |\n| 3 | Sourcing Branch | text | sourceBranchCodeDesc | Always-Visible Detail |\n| 4 | Application Type | fetchDisplayValueFromApi | applicationTypeLcode | Expanded Detail |\n| 5 | Application Date | date | applicationReceivedDate | Always-Visible Detail |\n\n---\n\n### New DSL Properties\n\n#### Table-Level Properties\n\n##### mobileCardViewEnabled\n\n- Type: boolean\n- Default: false\n- Purpose: Master toggle. When false, the table renders in its existing tabular format on all screen sizes. When true, the renderer switches to card layout on screens at or below 768px.\n- Note: This property already exists in the ComponentProperty enum (value: \"mobileCardViewEnabled\") and is already mapped to LayoutPanel in propertiesPanelMap.ts. It is currently only wired to the \"data-grid\" component type. It needs to be added to the \"table\" entry in componentPropertiesMap.ts.\n\n##### cardTitleColumn\n\n- Type: string (column ID)\n- Default: \"\" (empty string)\n- Purpose: References the ID of the table column whose cell value should be rendered as the card's primary title. Rendered in bold with the theme's primary color. If the referenced column is clickable (isClickable: true), the title retains its click behavior (routing/navigation) in the card view.\n- Validation: Must match an existing column ID from the tableColumns array. If empty or invalid, the card title area is not rendered.\n\n##### cardSubtitleColumn\n\n- Type: string (column ID)\n- Default: \"\" (empty string)\n- Purpose: References the ID of the table column whose cell value should be rendered as the card's secondary line beneath the title. Rendered in a smaller, muted font.\n- Validation: Same as cardTitleColumn. If empty, no subtitle is rendered.\n\n##### cardStatusColumn\n\n- Type: string (column ID)\n- Default: \"\" (empty string)\n- Purpose: References the ID of the table column that provides the status indicator dot in the top-right area of the card (to the left of the expand/collapse chevron). The renderer should use the existing dynamic prefix icon rendering logic of that column (prefixDynamicIconName, prefixDynamicIconColorConditions, etc.) to render just the icon. No text is rendered for the status column in the card header.\n- Validation: Same as above. If empty, no status indicator is shown.\n\n#### Table-Column-Level Property\n\n##### cardViewVisibility\n\n- Type: string enum — one of \"always\", \"expanded\", \"hidden\"\n- Default: \"always\"\n- Purpose: Controls when and where the column's data appears in the card layout.\n - \"always\" — The column is rendered in the always-visible (collapsed) portion of the card. For text/date/fetchDisplayValue columns, this renders as a label-value pair. For action columns (routing-action, file-preview-action, api-action, multiple-actions), this renders as a button in the action buttons row.\n - \"expanded\" — The column is rendered only when the card is expanded (user clicks the chevron). Renders as a label-value pair in the expansion area.\n - \"hidden\" — The column is not rendered in the card view at all. Typically used for columns already represented by cardTitleColumn, cardSubtitleColumn, or cardStatusColumn, to avoid duplication.\n- Note: This is a new property. It must be added to the ComponentProperty enum, added to propertiesPanelMap.ts, and added to the \"table-column\" entry in componentPropertiesMap.ts.\n\n#### Affected DSL Property Locations Summary\n\n| Property | Level | New/Existing | ComponentProperty Enum | propertiesPanelMap | componentPropertiesMap |\n| --------------------- | ------------ | ------------------------------------------ | ---------------------- | ------------------------------- | --------------------------- |\n| mobileCardViewEnabled | table | Existing enum entry, new wiring to \"table\" | Already exists | Already mapped to LayoutPanel | Add to \"table\" array |\n| cardTitleColumn | table | New | Add to enum | Map to new panel or LayoutPanel | Add to \"table\" array |\n| cardSubtitleColumn | table | New | Add to enum | Map to new panel or LayoutPanel | Add to \"table\" array |\n| cardStatusColumn | table | New | Add to enum | Map to new panel or LayoutPanel | Add to \"table\" array |\n| cardViewVisibility | table-column | New | Add to enum | Map to LayoutPanel | Add to \"table-column\" array |\n\n---\n\n### Card Visual Structure\n\n#### Anatomy of a Card (Collapsed State)\n\n```\n┌─────────────────────────────────────────────────────┐\n│ [TITLE] [STATUS DOT] [▼] │\n│ [SUBTITLE] │\n│ │\n│ [Label-A] [Label-B] │\n│ [Value-A] [Value-B] │\n│ │\n│ [ Action Btn 1 ] [ Action Btn 2 ] [ Action 3 ] │\n│ [ Action Btn 4 ] [ Action Btn 5 ] │\n└─────────────────────────────────────────────────────┘\n```\n\n- TITLE: Value from cardTitleColumn. Bold, primary color. Retains click behavior if the source column is clickable.\n- SUBTITLE: Value from cardSubtitleColumn. Smaller, grey text. Displayed directly below the title.\n- STATUS DOT: Icon from cardStatusColumn. Only the dynamic prefix icon is rendered, no text. Positioned top-right, to the left of the chevron.\n- Chevron (▼ / ▲): Toggle for expand/collapse. Always present when the card has columns with cardViewVisibility: \"expanded\".\n- Label-Value Pairs: Text/date/fetchDisplayValue columns with cardViewVisibility: \"always\" render as two-column grid of label above value. The label is the column's label property. The value is the cell data for that row.\n- Action Buttons Row: Action columns (routing-action, file-preview-action, api-action) with cardViewVisibility: \"always\" render as horizontally arranged pill-style buttons using flex-wrap so that buttons overflow onto additional rows when they do not fit in a single line. They retain their existing icon and label rendering from the desktop view with one addition: if a column is configured as isIconButton: true (icon-only on desktop), the card view appends the column's label text after the icon so the button reads as \"[icon] [label]\" instead of just \"[icon]\".\n\n#### Anatomy of a Card (Expanded State)\n\n```\n┌─────────────────────────────────────────────────────┐\n│ [TITLE] [STATUS DOT] [▲] │\n│ [SUBTITLE] │\n│ │\n│ [Label-A] [Label-B] │\n│ [Value-A] [Value-B] │\n│ │\n│ [ Action Btn 1 ] [ Action Btn 2 ] [ Action 3 ] │\n│ [ Action Btn 4 ] [ Action Btn 5 ] │\n│ │\n│ [Label-C] [Label-D] │\n│ [Value-C] [Value-D] │\n└─────────────────────────────────────────────────────┘\n```\n\n- The expanded section is visually separated from the always-visible section (subtle top border or spacing).\n- Columns with cardViewVisibility: \"expanded\" render as additional label-value pairs in a two-column grid below the always-visible content.\n- If expanded columns include action-type columns, they also render as buttons in a separate action row within the expanded section.\n\n#### Mapping: KYC Table to Card\n\n| Card Area | Source Column | cardViewVisibility |\n| -------------------------- | ------------------------------------ | ------------------ |\n| Title | Document (col 2, id: 1de9a018) | hidden |\n| Subtitle | Applicant Name (col 1, id: 01064126) | hidden |\n| Status Dot | Status (col 3, id: 8e3e56c1) | hidden |\n| Action Buttons (collapsed) | Action (col 6, id: 7db5d881) | always |\n| Action Buttons (collapsed) | File(s) (col 4, id: b5a59455) | always |\n| Action Buttons (collapsed) | View (col 7, id: e5329abb) | always |\n| Action Buttons (collapsed) | View File(s) (col 5, id: c9fd2b04) | always |\n| Expanded Detail | Updated By (col 8, id: d5fbf26c) | expanded |\n| Expanded Detail | Date & Time (col 9, id: 8e956343) | expanded |\n\nTable-level card properties for KYC:\n\n- mobileCardViewEnabled: true\n- cardTitleColumn: \"1de9a018-46e9-4466-a8f1-75879cdee04c\"\n- cardSubtitleColumn: \"01064126-1a3b-45fd-9251-a85818ba8b83\"\n- cardStatusColumn: \"8e3e56c1-a850-45d5-85a2-a87edb9b983d\"\n\n#### Mapping: Application List Table to Card\n\n| Card Area | Source Column | cardViewVisibility |\n| ----------------------- | -------------------------------------- | ------------------ |\n| Title (clickable) | Application No. (col 1, id: 37779f2d) | hidden |\n| Subtitle | Loan Type (col 2, id: bb2f616e) | hidden |\n| Status Dot | (none) | — |\n| Label-Value (collapsed) | Application Date (col 5, id: 406cfcf8) | always |\n| Label-Value (collapsed) | Sourcing Branch (col 3, id: 7951c16d) | always |\n| Expanded Detail | Application Type (col 4, id: 5ee98dec) | expanded |\n\nTable-level card properties for Application List:\n\n- mobileCardViewEnabled: true\n- cardTitleColumn: \"37779f2d-8dc9-4cc7-8aae-20a24c06f53f\"\n- cardSubtitleColumn: \"bb2f616e-792c-4098-aef3-a515cd9bc2a7\"\n- cardStatusColumn: \"\" (no status indicator)\n\nNote: The Application List title (Application No.) has isClickable: true with routingType: \"Microsite\". The card view must preserve this click-to-navigate behavior on the title text. In the mobile screenshot, the title appears underlined and in primary color, indicating it is tappable.\n\n---\n\n### Rendering Logic\n\n#### Card View Activation\n\nFollow the same pattern established in WebDataGrid:\n\n1. If mobileCardViewEnabled is false (or absent), skip all card view logic entirely. Render the existing table.\n2. If mobileCardViewEnabled is true, set up a matchMedia listener for \"(max-width: 768px)\".\n3. Track the result in a state variable (e.g., isCardViewActive).\n4. Derive isCardViewEnabled = mobileCardViewEnabled AND isCardViewActive.\n5. Clean up the listener on unmount or when mobileCardViewEnabled changes to false.\n\n#### Column Classification\n\nWhen isCardViewEnabled is true, classify the table's columns into groups before rendering:\n\n1. Title Column: The column whose ID matches cardTitleColumn.\n2. Subtitle Column: The column whose ID matches cardSubtitleColumn.\n3. Status Column: The column whose ID matches cardStatusColumn.\n4. Always-Visible Columns: Columns where cardViewVisibility is \"always\" (or absent/defaulted). Exclude columns already claimed by title/subtitle/status (those should be set to \"hidden\" in the DSL, but guard against misconfiguration).\n - Sub-classify into:\n - Data Columns: columnInputType is text, date, fetchDisplayValueFromApi, or any non-action type.\n - Action Columns: columnInputType is routing-action, file-preview-action, api-action, multiple-actions.\n5. Expanded Columns: Columns where cardViewVisibility is \"expanded\".\n - Sub-classify into Data Columns and Action Columns using the same logic.\n6. Hidden Columns: Columns where cardViewVisibility is \"hidden\". Skip rendering entirely.\n\n#### Expand/Collapse State\n\n- Maintain a Set of expanded row indices in component state.\n- Each card has a chevron button that toggles its index in/out of the set.\n- The chevron should only be present if there is at least one column with cardViewVisibility: \"expanded\" in the table's column list.\n- By default, all cards start collapsed.\n\n#### Rendering a Single Card\n\nFor each row in tableData, render a card container with the following sections in order:\n\n**Card Header:**\n\n- Left side: Title text (from title column's resolved cell value). Apply primary color and bold font weight. If the title column has isClickable: true, wrap the title in a clickable element and invoke the same handleCellClick logic used for the desktop table.\n- Below title: Subtitle text (from subtitle column's resolved cell value). Muted grey color, normal weight, smaller font.\n- Right side: Status icon (if cardStatusColumn is set). Render only the dynamic prefix icon from the status column using the existing DynamicIcon component, passing the row data for condition evaluation. Immediately to the right of the status icon, render the chevron toggle button.\n\n**Always-Visible Data Section:**\n\n- Render always-visible data columns as a two-column CSS grid of label-value pairs.\n- Each pair: column label (bold, smaller font) on top, cell value below.\n- Use the same value resolution logic as the desktop table: getNameKey to resolve the column's name to a data field, getNestedValue to extract the value, getTableFormat or renderCellContent for formatting (including date formatting and fetchDisplayValueFromApi).\n- If a value resolves to null, undefined, or empty string, display \"—\" as the fallback.\n\n**Always-Visible Action Buttons Row:**\n\n- Render always-visible action columns as a wrapping horizontal flex row of buttons (flex-wrap: wrap). When the buttons exceed the available width, they flow onto additional rows.\n- Each button retains the desktop rendering logic from TableCellRenderer for its type (routing-action, file-preview-action, etc.), including icon rendering, conditional visibility (isConditionalComponent + visibilityConditions), and enable/disable conditions (enableDisableConditions).\n- One modification: if a column has isIconButton: true (meaning on desktop it renders as icon-only), in card view prepend the icon and append the column's label property as text. The button renders as \"[icon] [label]\" instead of just \"[icon]\".\n- Conditional visibility must still be evaluated per-row. If a button's visibility condition evaluates to false for a given row, that button is simply not rendered in the card. All existing visibility and enable/disable logic from useDynamicConditions must be reused.\n- The order of buttons follows the order of columns in the tableColumns array (filtered to only action types with cardViewVisibility: \"always\").\n\n**Expanded Section (conditional):**\n\n- Only rendered when the card's row index is in the expanded set.\n- Render expanded data columns as label-value pairs in the same two-column grid format.\n- Render expanded action columns (if any) as a separate button row.\n- Apply same value resolution, conditional visibility, and enable/disable logic as the always-visible sections.\n\n#### Selectable Rows in Card View\n\nWhen selectableRow is true and apiUrl is present (same condition as the desktop table uses to show checkboxes):\n\n- Render a checkbox in the card header, positioned to the left of the title.\n- Use the same isRowSelected, handleRowSelect logic from the existing table implementation.\n- The \"select all\" checkbox should appear above the card list as a standalone row (e.g., a small bar with \"Select All\" label and checkbox).\n\n#### Empty and Loading States\n\n- If tableData is empty and isLoading is true, show the existing SpinningLoader in a centered container instead of empty cards.\n- If tableData is empty and isLoading is false, show \"No data found\" in a centered container.\n\n#### Pagination\n\n- When enablePagination is true, the pagination controls render below the card list in the exact same format as the desktop view (rows per page dropdown, previous/next buttons). No changes to pagination logic.\n\n#### Footer Row\n\n- If showFooterRow is true and footer data exists, render the footer as a final non-expandable card at the bottom of the list. It uses the same card structure but without a chevron. Title/subtitle/status areas display the footer data from the corresponding columns. It is visually distinguished (e.g., slightly different background or bold values).\n\n---\n\n### Affected Files\n\n#### ui-configurator\n\n- src/app/data/componentProperties.ts\n- src/app/data/componentPropertiesMap.ts\n- src/app/data/propertiesPanelMap.ts\n- src/app/components/PropertyPanels/LayoutPanel/LayoutPanel.tsx\n- src/app/data/availableComponents.ts\n\n#### web-renderer-lib\n\n- src/components/webComponents/WebSimpleTable/WebSimpleTable.tsx\n- src/components/webComponents/WebSimpleTable/CardActionButton.tsx (new file)\n- src/components/webComponents/WebSimpleTable/WebSimpleTable.module.scss\n- src/types/types.ts\n\n---\n\n### Conditional Visibility and Enable/Disable in Card View\n\nThis is the most critical behavioral requirement. The KYC table makes heavy use of:\n\n- isConditionalComponent + visibilityConditions on columns (e.g., File(s) is only visible when isPhotoAllowed or isUploadAllowed is true)\n- enableDisableConditions on columns (e.g., Action button is enabled only when activityStatusLcode is \"PENDING\")\n- isConditional + conditionalRoutes on action columns (e.g., Action column routes to different pages based on activityProgramLcode)\n\nAll of this existing logic must be preserved in the card view:\n\n1. The useDynamicConditions hook must be invoked with the row data and nameKeyIds for each action button rendered in the card.\n2. If a column's visibility evaluates to false for a row, that action button is not rendered in the card for that row.\n3. If a column's enable condition evaluates to false, the button is rendered but in a disabled state.\n4. Conditional routing still applies — when the user taps an action button, the same handleCellClick / handleActionClick logic executes, which already handles conditional routes.\n\nThis is why the recommended approach in Section 7.2.2 (CardActionButton as a separate component per action column per row) is important — it allows each button to independently invoke useDynamicConditions with the correct row context.\n\n---\n\n### Interaction Behaviors\n\n#### Card Expand/Collapse\n\n- Tapping the chevron toggles the card between collapsed and expanded.\n- Chevron icon rotates (▼ to ▲) with a CSS transition (transform: rotate(180deg), transition duration 200ms).\n- Multiple cards can be expanded simultaneously.\n\n#### Clickable Title\n\n- If the title column has isClickable: true, tapping the title text triggers the same navigation as clicking the cell on desktop.\n- The title should have cursor: pointer styling and be visually distinguished (underline).\n\n#### Action Buttons\n\n- Tapping an action button triggers the same handler as clicking the cell/button on desktop.\n- For routing-action columns with conditional routes, the routing is resolved per-row data the same way as in the desktop table.\n- For file-preview-action columns, the same file preview modal/behavior is triggered.\n- Confirmation dialogs (showConfirmation) still apply — the same confirmation flow executes before the action proceeds.\n\n#### Selectable Rows\n\n- Tapping a card's checkbox toggles row selection using the existing handleRowSelect logic.\n- The \"Select All\" checkbox uses the existing handleSelectAll logic.\n\n---\n\n### Edge Cases\n\n| Scenario | Behavior |\n| ---------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| mobileCardViewEnabled is true but no cardTitleColumn is set | Cards render without a title area. Subtitle and data sections still appear. |\n| A column referenced by cardTitleColumn is deleted | The title area is not rendered. The renderer should guard against a missing column match. |\n| All action buttons are hidden by visibility conditions for a row | The action buttons row is not rendered for that card. |\n| No columns have cardViewVisibility: \"expanded\" | The chevron is not rendered. Cards have no expand/collapse behavior. |\n| Table has 0 rows | Same empty state as desktop — \"No data found\" message in a centered container. |\n| fetchDisplayValueFromApi column in card view | Must still make the API call and resolve the display value. Reuse the existing DisplayValueCell component logic. |\n| A text column with prefixSuffix rendering | Prefix/suffix icons and text should still render in the label-value pair, maintaining the desktop formatting. |\n| Footer row in card view | Render as a visually distinct card at the end of the list. Non-expandable. Style with a slightly different background to differentiate from data cards. |\n| Pagination in card view | Render the pagination controls below the card list, using the exact same component/markup as the desktop table. |\n| Window resizes from mobile to desktop (or vice versa) | The matchMedia listener handles this. The view seamlessly switches between table and card layout. React state (expanded cards set) resets when switching from card back to table is not necessary — simply not used when rendering in table mode. |\n\n---\n\n### Configurator UI Flow\n\nWhen a user selects a table component in the configurator and opens the properties panel:\n\n1. The \"Enable Card View on Mobile\" checkbox appears (existing MobileCardViewEnabled rendering in LayoutPanel).\n2. When checked, three dropdown fields appear below it:\n - \"Card Title Column\" — dropdown of all table columns by label, value is column ID.\n - \"Card Subtitle Column\" — same dropdown.\n - \"Card Status Column\" — same dropdown, plus an empty \"None\" option.\n3. When a user selects a table-column within the table:\n - If the parent table has mobileCardViewEnabled: true, a \"Card View Visibility\" dropdown appears with options: \"Always Visible\", \"Visible on Expand\", \"Hidden\".\n - If the parent table has mobileCardViewEnabled: false, this dropdown is not shown.\n","filename":"25 - Mobile Card View of a Table Component.md","format":"Markdown","order":25,"title":""}]},"id":"40","location":"Unspecified","name":"2. UI Configurator","properties":{"structurizr.dsl.identifier":"uiconfig"},"tags":"Element,Software System,system"},{"description":"Workflow configurator will be used to configure a fresh workflow for a 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GxvLLwlgDwhAdlBVVZWQkMBfFgAA4AZ27dqFe6IdAQKQHaSkpJSWlvLXBAAAuIHq6uoFCxbwCwNoDgFIa0+ePElOTuYvCAAAcBsrV67E7weyOwQgrR0+fDg3N5e/GgAAwG1cvnx58+bN/PIA2kIA0lpqauqjR4/4qwEAANxJQkICvzyAthCAtJaSksJfBwAA4GaWLl3KLw+gLQQgrdkxAEVHR584cYIvrZN169ZNmjSprKyMf8LhLVy4cP/+/eLDWg2kVpW1odfrCwsLKyoq+Cfqx+JIq6urrXUuyVl3UMePH+eLTLA4aluz2AGb7vb6qKysPHfu3Ndff11VVSXUZp/XAXcJ246pCdNUeW0hANkdApDW1ASgFi1afPzxx3ypRMeOHVetWsWXmi5nOnTowJ41X00NmuamTp06fvx4saT+bVqd4m4MCwujCVR8KB+IGbWqrIGZM2e2bt2a9ryHh4dOp+OfrgeLI501a9by5cv5Umuw+qDmzZsnPeJmWBy1rVnsgLjbW7Zs2aBBg4YNG/br12/JkiVU8vDhQyrZsGGDWLlr166bNm1i21R/1KhR4lN0qT733HNmyoVnLx8z1UpLS2fMmOHp6enj49O5c2cvL6/p06er3+d1wF3C9WF+1hInTJXltUUHjl8eQFsIQFpTE4CaN28uX7mlcnJyrl+/Tht9+vRZtmyZvFyReN2ar6YSfRjNzs6maZc9rEObXOetTnE3ymdPbiDm1aqyLYg77ejRo40aNTp//rxgvKHyu+++4yqYYrECY2akSUlJQ4YMMRgM/BNGKtsXSesrDspig+YrlJeXh4SEiFHAPDOjZsy/F6OmjilmOiDd7ZROUlNTaf9ER0dTDMrPz2cBaP369WL9gICAjRs3sm2qT8+uW7eOPaR5gDppplx49vIxU23s2LH0Rl999RV7WFxcfPz48Vrt89qSX8J1Zn7WMhV0TJXXFgKQ3SEAaa1WAWjQoEFpaWljxozx9vamj4bikkPlGRkZ9Fm5cePG7du3DwwMvHXrllhOG1FRUb17927btu2kSZPEHyWI161Y7cKFC4HPolWHys+cOdO/f/9mzZqNGDHixo0b7OXmiW2ybXm3afakSZPapBlTMH7Q5zqv2GfFpgoKCoYPH96qVSt6eXx8vGCiw+JupGfDw8PpUyy9ta+vr7VmT0GpJzTvi9/P05tu376dbdNAEhIShg4dSj2UP5T3X3Hg0p1GaxutSbt372btM9xele9SroL8fdXo16/frl272HYdDqt07Fz9nTt3coOy2KC8gnxQK1asGD16tNimenUYHVfH1PnAtayGdLdTIvnkk09og5IH7TEqtxiA6OXUK7ZDpAFIsVyQBSDFarm5ufSmin/QUM0+l+89xdNesHQJ0zUodpXmtKCgIIo18sYF2XVnccKMiYl58cUX2Rdg4gUiTqTyM02ozZFFALI7BCCt1SoA0ZVGk+l77723evVqmmgOHjzIKrAr8OLFiz4+Pu+///6JEycqKyvFctqYM2dOVlbWkSNHPD09xTlXfFbcoA9qJ4zokzdNlzRls/sPaLJ788036ZMoTQqLFy9mLzdP+qlI3m2aU2j2pI+w9OH+8OHDVEfeeVN95prS6/X+/v40x9HMRR/gTp06JZjosLgb+/btO3LkSKpJc5+Xl5e1ApBiTxo1arRt2zZWoU2bNuKHZjaQuLi4kydPyh/K+y8fuPDsTqMjRZMvvd2HH34ofmHA7VX5LuUqyN/XInpfelNaZmi7bodVOnau/oMHD7hBWWxQXkE+qEOHDtHaVl1d/dMwVKjb6Lg6iueDvGWLpLtdMCaSZcuW0Vn3yiuvtGvXjk5FiwFox44dFB1ef/114dkApFguyAKQYjV6O3rT4uJiVk1KzT6X7z3F016wdAn/6U9/ogpse/bs2S+88IKg1Lggu+4sTpiUY+i9aNKmY0dhSCxnr5KfabU6sghAdocApLXaBqC3336bFdKsKv4GRfEK7Natm7RBaQoRjFdjr1695s+fzz3LVROM9xbQHFdQUEDbV65coamHZu3jx4/ThzCLH+MYaZvybtPCRh/pxo0bd+3aNfElXOcZeZ+5pnbv3s196DTVYbYbS0pKGjZsKN60aMXvz+U9EcwGIFrUxWrSh4r9lw+cbUt3GuXXadOm0WuHDRtGw5RXYLhdKlZQfF+LDhw44OHhQQeUtut2WLldwdWXD8pig9IKioNihWfPnpW2YFHdRic8W0fxfFBs2TzpbheMiYTOahpUx44d2be2FgMQJRJK6g2MXxdJA5BiuSALQIrVaKWnEvErE3Lv3j32a+7V73Pu3JCf9hYv4TNnztB7FRYWUt6iUa9cuVJ8Sj6fcJeh+QkzMTGRbdO5FBERIZbTqxTPtFodWQQgu0MA0pp89pSTBiDx+uzevbv6ALRo0SJaP0JDQ6kpiwFozZo1NL+IP8Bin73+/SOxwMChQ4eKNc2QtqnYbfoESeU0k4o3z3KdN99noaaptLQ06t63334rvtBUh9lu3LBhA41OnKPls2edyXsimFjwBNk+lz5U7L984GxbvgDTgaO9OnnyZHkFxV0qVlB8X4voQ7l0f9bhsHK7Qj4i4dlBWWxQWkFxUHSMqPBvf/ub2IhKdRgdV8fU+SBv2Txut9ML582bR6c3FbI/q1xVVUVjlK79fn5+n3/+uVifEgxtvPLKK/7+/nQ6SQOQvFxQCkDyaiwSid9LkfHjx7MooGafy/ee4mmv5hKm4DJ79myKic2aNaMQJig1LsjOPZUTpmD8r2ft27eXliueaUJtjiwCkN0hAGlNPtfL1SoA0Yewmtf9u5yuQJov2Bew/fr1k1/P0mZzcnKaNm0aHR1d04aQmZlJFzb7gY560jZNdfv+/fvvvPMO9a2oqEh4tvMW+yzUNEUfQKl7YlwTTHeY7UZaOejZixcvssKQkBD57Fk38p4IxgVv8+bNtHHz5k3asWoCkGL/5QNn29wRZ2bMmOHr68u2xQqmdqlYQfF9LSorK2vcuLF0YavtYeV2heKIBMmgLDYoraA4KDoH2rVrJy1Rr7aj4+qYOh8EWcvmcbu9Rc09QCNHjqREwr50oR1LO41VMBgMFAXEHyGJCeabb76h66Jjx45cAOLKBRMBiKtGlxX1/6OPPmLVBEkAsrjPFfee4mmv5hKOjY2l+r/97W+nTJkimGhckJ17KidM8sYbb4j39LByxTONUXlkEYDsDgFIa9YNQBERERMmTBBvFWTlpEmTJvSxjNZmmoNmzZrFvUrcKCkpoTXmF7/4hV6vLzeqrq6mqZYKaRajGYfKFa9wOWlX5d2+ffs2dYbmBZrLaElg35pIO2+xz2JT1D0fH58BAwacPHnyypUrFOBMdZjtxgcPHtDG9OnTz549S83SnCWfPaX++Mc/Ll26lC9VIu8JFfbo0eOtt97Kzc0dMmRIA8l/nFGcecV25P2XD5xtiztt//79X3zxBX3YvXHjRu/evV966SWugqldKlZQfF81+vbtS2sGbdTtsHK7QlpfcVAWG5RWUBxUWlrayy+/zN5O/fGt2+i4Oorng2LLFom7XZAEIJZIfve739H2q6++GhAQkJ2dTQOnk5wCEKUusT5LMILx2w7qCReAuHLBRACSV6PAQW+k0+nYTVGUElgAsrjPFfee4mmv5hL++uuvGxixW84VGxdk557FCXPMmDF37949ffq0n58f2+HiqxTPtFodWQQgu0MA0lqtApD011TQdCC+VizftGlTmzZtaHpi3/qyctqm6YnmgtDQ0GnTpolfwouvEjc2bNjAZg3RX//6VyqnOTQwMJA+wXh5eQ0ePJi9qXnSrsq7TRMBZQVPT09vb2/x2yZp5y32WWyKNo4cOULzEVWmz8RRUVGCiQ6LuzEuLs7DaPLkydS+fPaU6tKlCy0kfKkJ8p6kpqY2M4qPj6fRiXcIcb9xhHso77/iwAXJTlu8eLGnEQ1z5MiR4s0WYoXi4mLFXSrd7fL3VYN24PPPPy8Yf8xRh8PKjV1an4YpH5TFBrmrgBvUw4cPQ0JC1q5dy95O/fGt2+i4Oorng2LLFom7XTD+Yp5PP/2UbScmJjYw/te58+fPh4WF0XYTI3HBZvXFe3IpqVC4ZAnGVLnwbAAyU40W+z/84Q90/jdt2rRVq1Y0Uoo7ava54t4zddqruYTpWFP+Y7ddKzYuyK478xMmBZ1f/vKXNCI6lyIjIykJSV8lyM40oZZHFgHI7hCAtCZe0tZSUVGh+KssxLvwrl69av7/YphCLdDsxpfWA/WT+wUnXOdr1Wda4MV7QhkzHaaPa3fu3OFLldCKJb1NUg2uJzSflpeXS55Xy0z/pcSdRjuzsLCQrfqKFQQTu1S+29W8r4jamTBhgvg79+p/WKX1FQdlsUH5VSAOaunSpe+++65YXtvjW7fRSeuYOh/kLZvH7XZFVIfW4NzcXL1ezz9nS+yoXb58me0B9ftcce8pUn8Ji9Q3LihVpsRDaY+OneIEK5JfPiqPLH4TtN0hAGmN5gL+OgBHQp9fL126xJfCs2iB//LLL/lSh5SRkSH+jFhw8uPrLLvdlfa57eCPododApDW9u3bRx+V+EsBAADcRlFR0caNG/nlAbSFAKS1x48f40sgAAB3lp6efuvWLX55AG0hANnBkiVL1PyEGAAAXFJsbCy/MIDmEIDsoKSkRPz/EQAA4Fby8vK+/PJLfmEAzSEA2UdqaurVq1f5ywIAAFzd3Llzf/zxR35VAM0hANnHkydPoqOjFf9zLAAAuKr09PTCwkJ+SQB7QACyG71eP2/ePGQgAAA3cezYMZ1Oxy8GYCcIQPZEGSg6OlrN3w0GAACnlpWVtXbtWn4ZAPtBALKzJ0+eJCcn01WB/xcGAOCSSktLlyxZsmfPHn4BALtCAHII169fX7RoUWpqakFBAX/pAACAczpz5kxiYmJKSorBYODnfbA3BCAH8vjx471799Klkgzg0nx8fPgiANeSYnT48OEffviBn+vBMSAAAYDWKADxRQAA2kIAAgCtIQABgN0hAAGA1hCAAMDuEIAAQGsIQABgdwhAAKA1BCAAsDsEIADQGgIQANgdAhAAaA0BCADsDgEIAGxOr9dLH3IBiHsWAEADCEAAYHMZGRm5ubniQ2kAonJ6VnwIAKANBCAAsDmDwRAWFrZr1y72UAxAlH5CQkLwVwIAQHsIQACghaioKH9//61bt/5fTQCi9NO1a9exY8fyVQEAbA8BCAC0kJ+f7+vr26VLF8pAFIAo/QQFBdHGyZMn+aoAALaHAAQAGomMjOzTpw/FIMo9wcHBtNGrVy++EgCAJhCAAEAjOp3uV7/6lY8Ri0GLFi3iKwEAaAIBCAA0YjAYQkJCunfvzjKQn58fbn8GAHtBAAIA7URFRYlfAr366qv80wAAWkEAAgDt5OfnDxo0iP0IDLc/A4AdIQABgKYiIyMpAOH2ZwCwLwQgANCUTqfD7c8AYHcIQOB27t69+/nnnycmJiaAPcTFxVEAon/5J0ArdPJv3bq1oqKCvzYA3AkCELiLH3/8cdeuXbGxsenp6UVFRQLYz4EDB/gi0Nbly5dXrFgRExOTl5fHXyoA7gEBCNzCuXPnPvroo/z8fH4dAHBv7FPB999/z18zAK4OAQhc33ojfuIHAKM7d+7MmTOH/uWvHACXhgAELm7t2rXHjx/np3wAkKisrKQM9OjRI/76AXBdCEDgyvbs2bN//35+sgcAmTt37sTFxfGXEIDrQgACl1VVVZWYmMhP8wBgwq5du3BPNLgPBCBwWSkpKffu3ePneAAwobq6OiYmhr+QAFwUAhC4pidPnlAA4id4ADBr5cqV5eXl/OUE4IoQgMA1HT58GP/pHaC2Ll++vGXLFv5yAnBFCEDgmlJTU7///nt+dgcASxITE/nLCcAVIQCBa6IA9OjRI35qBwBLEhIS+MsJwBUhAIFrogDEz+tK9Hp9YWFhRUUF/4Qbq6ysPHfu3KVLl2iDf855LFy40Iq/ASE6OvrEiRN8qTVYt5+CNbq6dOlS/nICcEUIQOCa1NwBPXPmzNatW3fs2NHDw0On0/FPW0nLli0bSJSXl/M1rI1GtGrVKr5UhdLS0hkzZnh6evr4+HTu3Jk2pk2bxlfSXN2GExYWRtmCbdetBUHywg4dOtStBYuk/bSK+ncVAQjcBAIQuCaLAejo0aONGjU6f/68YLzx87vvvqONPn36LFu2jK9aPy1atEhKSqqswT9tJdKe5+TkXL9+/dnnVRk7dmxAQMBXX33FHhYXF9fhl2jXbR+aeVXdhiMNFmZaMPO+guSFtUoV5tvkIAAB2AsCELgmiwFo586dDRo02L17t1gyc+bMxo0bt2/fPjAw8NatW1SSn58fERFBCaZnz56ffvopqzZo0KCEhIShQ4eOGDGCHp45c6Z///7NmjWjhzdu3BBbE9HLpT+Po+BF7WdmZtJ2VVXVyJEjxa7KmyooKBg+fHirVq2oV/Hx8VQSEhIi/sQkPDx8+/btgqzn1MOMjAxWx9QQ0tLSxowZ4+3tPXXqVIPBQIW5ubm0QxT/aJr6RrieyEekOHz5npcSh6P4jlL0drRPWrZsSUnO19dXDBZiC+vWraN0Qv2hCoKst6ym9OCKL6RUERMT8+KLL1Ljo0aNEg+0/HDI25TvBFP9lJIf+qioqN69e7dt23bSpEniD23l1airS5Ys4faSvA9mIACBm0AAAtdkMQA9ePCAloRGjRp9+OGHDx8+pJKLFy/6+Pi8//77J06cqKyspDUmICCAVpcjR47Q4iemJVpgaIWLi4s7efIkPezXr9+bb76ZnZ1Ni9PixYu5dxGMAej1119fZUTLFZVMmzatU6dOJSUlVL9bt256vZ7V5Jqicn9//6CgIFqDc3JyTp06RXWow9u2bWP127RpQyu6IOu5+B2A+SG89957q1evpsKDBw9SIUUf2i4uLmaNi2rVCNcTxZ0jHz73Kum7C5KvNBTfUapv376UqGhHUYjx8vISgwVrgQZCKSEpKen8+fOHDx8WZL1lNaUHV/rWlB6oQTqvaLfTfmAtyw+HvE35TjDVT5HioZ8zZ05WVhYdBU9PTxZ8Fasp7iV5H8xAAAI3gQAErsliACLl5eW0GNMiMWzYMFqPqYTWY/GFe/bsoaeOHTvGHtJnffrkLRgXGMpMrPDKlStUh5bA48eP06ft0aNHs3IpCkDBwcHDjTZv3kwlZWVlVDJkyBBaU2lJY9XkTVHOoJL09HRpa/IVl21Ley4u22aG8Pbbb7NCWq2Tk5Npg5IBVZbfD16rRgRJT+QjYhUUhy/tP0eaQhTfkaEj2LBhQ/H+X+mPllgLFHm9vb3HjRt37do18VXc+0oPLnsovrX4Z1VoLBEREWxb8XBI25TvBDP9FCkeeoYOUK9evebPny+YqCbfS/I+SOvLIQCBm0AAAtdkajWVo0/PlFEmT54sPLt0paWlSQPBxIkTKScJkkWRsA/ZgTWGDh3KyqW4H4Exa9asoReyn7Mw8qZYB7799lvJ65RXXMFEAFIzhO7du7MkQfuBKrOboqRq1Ygg6Yl8RKyCoDR8lQFI8R2ZDRs2ULAQ+ykPQLSxY8cO2qYjsnz5cvaUPACJbyF9KC2nZtu3b8+2FQ+HtE35TjDTT5HioV+0aBHt+dDQ0ObNm7MApFhNvpfkfZDWl0MAAjeBAASuydRqqmjGjBm+vr6CcelKSkpihdu3b6dlIy8vjz3s27fva6+9Jjy7wGRmZlId9qMHU+QBqKysrGfPnuHh4V5eXuIdx/Kmdu3aRSXi3TwMrbjsa6SbN282bdpUGoDEnos9VDMEMUlcvHjRw8Nj9uzZrFxUq0YESU/kI2IUhy/tP0cxhcgD0MGDB+ntaBTsYUhIiDwAkfv377/zzjsUQYqKigTZ+6oJQG+88Qa7hUgwcTikbcp3gpl+iuSHnqIb9Zn95K5fv34sAMmrCUp7Sd4H8xCAwE0gAIFrshiA9u/f/8UXX9y7d+/GjRu9e/d+6aWXqDAiImLChAnsvtHbt297e3tPnz79zp07W7ZsoaVOvhbSWk7JafTo0bSe6fV6xTWGAlBcXNy1Gg8ePKA2Bw4c+PDhw1GjRgUFBVEjglJTVOLj4zNgwICTJ09euXIlJyeHqvXo0eOtt97Kzc0dMmQIrWpiAJL2XOyhmiFIk8SUKVOaNGmSlpZWXl5eWVlJyy1Ft9o2IvZEPiJWQXH40v5zFFOIPADRjm3evDk1fvbs2VmzZtHO4QIQDYSyAgUgiiA0CvbFCfe+ZgLQmDFj7t69e/r0aT8/v08++YRVUDwc0jblO8FMP0XyQ0/doENz4cIFGkK7du3ohYrVBKW9JO+D9L3kEIDATSAAgWuyGICogqcRrUYjR46k1YgKN23a1KZNG4os7M/I00fnTp060Sfvxo0bz5w5ky1p3C+Vyc7ODgwMpDpeXl6DBw8Wy0Xc7wGiz+7UPq1kgvG2lc6dO4u/a0fe1JEjR2i5pVdRB6KioqiEEkkzo/j4eOqqeP+HtOfSHlocAq2R4r6ilXLGjBmNjagPoaGh7IbZWjUi7Yl8RDt37lQcPrfnpcQ3MvWOIgqaHkaTJ0+mzovBgr2QEg/FBTrilOeio6PZU9z7cgdX+nuAfvnLX9Jup7FERkZSEmIVFA8H16Z8J5jqpxR36KmpPn360EOqT3tM/NGb/AxR3EvyPpiBAARuAgEIXJP8thu5hw8fFhYWcituRUWF9HfGVFdXFxUV0ad2SRUF165du3//Pl9aJ/KmiouLpR2gDiv+NkWu5yKVQxBRTdot3H+WrlUjXE/kI1Jkqv+1Qhnuzp07fKkEvQX7T38iNe9LiaeyspJ2u7ym4uGQt8ntBIv9ZLhDL96+ffXqVToiYjlXzRSVBwJ/CgPcBAIQuCb8LTCAukEAAjeBAASuad++feynWgCgXlFR0aZNm/jLCcAVIQCBa3r8+LGan4IBgFR6evrt27f5ywnAFSEAgctasmQJd7cHAJgXGxvLX0gALgoBCFxWSUmJ7f7GO4DrycvL+/LLL/kLCcBFIQCBK0tNTb169So/zQOAkrlz5/7444/8VQTgohCAwJU9efIkOjpa/r+UAYCTnp5eWFjIX0IArgsBCFycXq+fN28eMhCAGceOHdPpdPzFA+DSEIDA9VEGio6Olv4NcAAQZWVlrV27lr9sAFwdAhC4hSdPniQnJ69Zswb/LwxAVFpaunjx4j179vAXDIAbQAACN3L9+vVFixalpqYWFBTwSwGAOzl9+nRCQgJ9KjAYDPx1AuAeEIDA7Tx+/DgrKyvZKAnswcfHhy8CrdBpn5KScvjw4R9++IG/NgDcCQIQAGiNAhBfBACgLQQgANAaAhAA2B0CEABoDQEIAOwOAQgAtIYABAB2hwAEAFpDAAIAu0MAAgCtIQABgN0hAAGA1hCAAMDuEIAAwOb0er30IReAuGcBADSAAAQANpeRkZGbmys+lAYgKqdnxYcAANpAAAIAmzMYDGFhYQcPHmQPxQBE6Sc0NBR/jQEAtIcABABaiIqKCggI2L9////VBCBKP926dRszZgxfFQDA9hCAAEAL+fn5vr6+fn5+lIEoAFH6CQkJoY3s7Gy+KgCA7SEAAYBGIiMjQ0NDKQNR7qENf39/ykB8JQAATSAAAYBGdDrdiBEjfIy6du1K/y5YsICvBACgCQQgANCIwWAIDg729/dnGcjX1xe3PwOAvSAAAYB2oqKihg8fzgLQr371K/5pAACtIAABgHby8/MHDBhA6adLly64/RkA7AgBCAA0FRkZSQEItz8DgH0hAAGApnQ6HW5/BgC7QwACcBeCIMTHxyfYW1xcHAUg+pd/QnOxsbG4CxvAbSEAAbgFSj/R0dGlpaWCAzhw4ABfZA+0N/785z8jAwG4JwQgANcnOFL6cSjIQABuCwEIwMUJSD9mIQMBuCcEIABXJiD9qIAMBOCGEIAAXJaA9KMaMhCAu0EAAnBNAtJPLSEDAbgVBCAAFyQg/dRJbTMQ1czIyNDr9fwTAODwEIAAXI1g4/Tz3//931evXpWW3Lp16y9/+ctvf/vbo0ePyp91KNXV1ZcvXy4uLuafqKEyAxUUFPzxj38MCQnJzc3lnwMAZ4AABOBSBLPph9b11q1b79y5k7arqqpatmy5YMEC9tTw4cM3bNjwTG0lFCAaNGhAq7608IMPPqCXb9q06dSpU/Jn6+Du3bvNmjWbOnUq/4REtRHbUP+mvXr1Cg4O9vX1DQ8PLysr4582MpOBqFCn0w0cOLBLly5+fn45OTl8DQBwEghAAK5DMJt+mFdeeSUqKoo2aPGm3DBy5EjapihAgePmzZt8bRnFtDFo0KBPP/3U1LN1kJqa6uHhQV0yM5ZWrVr99a9/ZdunT58uLy9/9nllLPRUVlZSgmF9ViTPQOwrn+7duwcFBfn4+AQEBCD9ADg1BCAAFyGoSD8kMTGxT58+tLF06dJu3bq1bt2alvnt27cPGDCACjMyMmiBp+QxZMgQlmMo01C1+fPn+/r6bty4UYw4er2ewlNCQgLFKU9Pz3bt2v3iF7+QBiB5U/QWBw8epI0VK1YEBwc/ePCAtqdOnbp161ZJB/+/3r17L1y4sHnz5h9//DEroRdOmDCBekvdKCkpmT59Or1R586dJ06cyHp47ty54cOHf/7556w+xRfqM22sX7/ez88vMDAwLS1NbP/rr79u2rTpnj17xBI5loFu3brFvvKhDvv7+/sYIf0AuAAEIFCFzfvg4IqKivhlXIaySMOGDW/cuPHqq68uX76ctqnkD3/4w9y5cymReHt7U1C4c+fOjBkzRo0aJdR8qTN48ODCwkIKPezh6dOnxxpReHr48CElqk8++aSiokIMQIpNTZ48+d133xWMP26jagcOHLh3716LFi0oZEh7eOzYMYo+9NS0adP69u1LJfQWbdu2paRFhcXFxZWVlVRCCYZSEb2R+Kbz5s2LjIyk+tTPNm3afPXVV9Ql9kXRpUuXqP7t27cF48/+wsPDY2JipG+qiOIUv4vBmfHzGrg3BCBQBXOH46MFe86cOffv3+eX8WdRXOjYsePGjRvbt29/7dq1Xr16UXbp2rUrxY4vv/yScgNlGsGYkxo3bnzz5k0WL06dOiW+nB5GRET8/Oc/p5zBCimmrFixQnyWXqvY1IYNG4KDg+/evUtvPXXq1P/5n/9JT08fMWLEv3tWg56icPbNN99Q/qDWTp48uX37dmqBspS0WrNmzdiPwMQ3vXz5cqNGjejf1atX9+/fn57aunVrkyZNphq1bNly8+bNVLht27YxY8ZIm1JUWlr64Ycf0pvqdLoXXnjhOSO2jvr5+e3bt48/AODYMIkBBwEIVMHc4RQEdRlo/Pjxw4YNoyxC29OnTw8PD2/bti2FlU2bNlE2YnXOnj3r4eFRXFzM3dbDHo4ePZpCDNVhhfIApNjU7du3KaAsWLBg4sSJGRkZ9L4UdD777DNWjWG3P1Ms+5lR69at33zzTapMOYYblzwA0XZkZOS8efMGDx7MfuC1fPny5s2b79ixY5fRt99+S4W///3vk5OTpU3JsfRDG+K+LSgoeO+993r27Dlo0CA/I2Qg54JJDDgIQKAK5g5nIajIQBQOKDFQ9KHtNWvW0PaECRME40+OKC7s3buXwtDs2bMjIiIE2X3N4kPKJRQCWKSQByDFpggFLy8vL4pHFHQ8PT3ld16npKSwH3sxH3/8catWrSg5tWnT5qOPPnrw4MGNGzfY/c50Tq5fv154todr166lzEQvYTc7nz9/nt6FMhbVqaysZIXffPMNNSK+hZw8/YjY/wJ74YUXfH19kYGcCyYx4CAAgSqYO5yIYCkDXbx4kRIDLeTiNsUg9hTlj6ZNm7Zt27ZLly6HDh0STAcgigLjx48PCgq6desWRZaVK1dyleVNkbi4uCZNmty7d4+2hw4d+otf/IKVi/r06SP9z1mURSgkrVq1inrYokWLli1bent7X7hwQTA2RQ8ph0nflIIXFf7hD38QW1i3bh2Fp06dOrVv356CF5WMGDFi4cKFYgWOmfQjxb4QCg0NzcXvAXISmMSAgwAEqmDucC6CpQxkRmVl5bVr1/jSOrFiU4JSaxSkxPuQzKCEVFxczG5IMk9l+hEZ8JugnQcmMeAgAIEqmDucjlCPDOSeapt+wLlgEgMOAhCogrnDGQnIQKoh/bg8TGLAQQACVTB3OCkBGUgFpB93gEkMOAhAoArmDuclIAOZhfTjJjCJAQcBCFTB3OHUBGQgE5B+3AcmMeAgAIEqmDucnYAMJIP041YwiQEHAQhUwdzhAmilX7hwYZIDoNOJL7KH+Ph4pB/3gUkMOAhAoArmDrAinE6gPZx1wEEAAlUwd4AV4XQC7eGsAw4CEKiCuQOsiDudhg8fPnLkSPHhr3/96+joaMnzAFaASQw4CECgCuYOsCLudLpw4YKHh0dWVhZt79y5s2vXrn//+9+lFQDqD5MYcBCAQBXMHWBF8tPpj3/8Y2BgYEVFha+v7969e1nh1q1bAwICgoODdTodK/noo48oHrVt23bHjh0/vRhABflZB24OAQhUwdwBViQ/ncrLy9u0adO9e/ff/OY3rOTJkyetW7fOzc29fv1606ZNq6qqSkpKGjRocPHixcePH+N/b0Ftyc86cHMIQKAK5g6wIsXTKSEhwdPT8+7du+xhVlZWkyZNfm/UqlWrXbt2/fDDDyEhIUFBQdu2bXv2pQCWKZ514M4QgEAVzB1gRYqn0+7du729vcWHa9eubdGixYEDBw4Z3b59mwoNBsOiRYtat24dExPz0ysBVFA868CdIQCBKpg7wIoUTycuAF29etXT0zM9Pf3p06f//Oc///73v1dXV9+6dYueovTz/PPP//RKABUUzzpwZwhAoArmDrAixdOJC0AkIyODSjp37tyhQ4cvv/zy0qVLbdu27dq1a1BQ0NGjR6U1ASxSPOvAnSEAgSqYO8CK1J9OT58+vX///r/+9S+xpKKiQvI8gFrqzzpwEwhAoArmDrAinE6gPZx1wEEAAlUwd4AV4XQC7eGsAw4CEKiCuQOsCKcTaA9nHXAQgEAVzB1gRTidQHs464CDAASqYO4AK8LpBNrDWQccBCBQBXMHWBFOJ9AezjrgIACBKpg7wIpwOoH2cNYBBwEIVMHcAVaE0wm0h7MOOAhAoArmDqgPvV4vfcidTtyzALaASQw4CECgCuYOqI+MjIzc3FzxofR0onJ6VnwIYCOYxICDAASqYO6A+jAYDGFhYdnZ2eyheDpR+unVqxc9+1NVANvAJAYcBCBQBXMH1FNUVFRAQMCxY8f+r+Z0ovTTvXv3X//613xVABvAJAYcBCBQBXMH1FN+fr6vr6+/vz9lIDqd2Hc/Xbp0OXToEF8VwAYwiQEHAQhUwdwB9ffiiy8GBgZSBqLTidJPz549g4KC+EoAtoFJDDgIQKAK5g6oP51OFxkZ6WMUEhJC/86ePZuvBGAbmMSAgwAEqmDugPozGAzBwcFdunRhGcjX17eyspKvBGAbmMSAgwAEqmDuAKuIiooaNmwYC0AjR47knwawGUxiwEEAAlUwd4BV5Ofn//znP6fTCbc/g8YwiQEHAQhUwdwB1vLiiy/S6YTbn0FjmMSAgwAEqmDuAGvR6XQ+uP0ZNIdJDDgIQKCKxnPHDz/8cOjQoeTk5KSkpERwLfHx8XQ6xcXF8U+Ak0syosv28OHDdAnzV7W9aTyJgeNDAAJVNJs7DAYDzaEJCQlfffWVAC7qwIEDfBG4kNOnT9MlTEnIof7IiWaTGDgLBCBQRZu5IzMzc9GiRaWlpfyECgDOhi7kxYsX79mzh7/O7USbSQycCAIQqKLB3LF69WqaK/lJFACcWVZW1tq1a/mr3R40mMTAuSAAgSq2njvWrFlz7Ngxfu4EAOdHl7ZOp+Ovec3ZehIDp4MABKrYdO7Iy8tLT0/nZ00AcBV0gRcWFvJXvrZsOomBM0IAAlVsN3f84x//mDNnDj9fAoBrmTt37o8//shf/xqy3SQGTgoBCFSx3dyxbdu2vLw8frIEANdCl/mOHTv4619DtpvEwEkhAIEqNpo7/vWvf8XExPAzJQC4otjYWH4K0JCNJjFwXghAoIqN5o6bN2/i7h8AN0EX+507d/hZQCs2msTAeSEAgSo2mjs2bNhQVFTET5MA4IroYt+0aRM/C2jFRpMYOC8EIFDFRnPH0qVL+TkSAFxXYmIiPwtoxUaTGDgvBCBQxUZzx5IlS/gJEmygsrLy3Llzly5dog3+OXuIjo4+ceIEX6rCunXrJk2aVFZWxj/h8BYuXLh//37xofmB6PX6tLS08ePHx8XF8c/ZVZ0PnCghIYGfBbRio0kMnBcCEKhio7nDYgBq2bJlgwYNGjZs2K9fP4uVzejYseOqVav40npgHROVl5fzNaytbkMoLS2dMWOGp6cnHcHOnTvTxrRp0/hKmuvQoUMdxkKqqqqmTp1KyUAsqdtusakWLVp8/PHHXGFYWBhlIPGhfCBSlH78/PzWrFmzcuVK/jm7qvOBEyEAgeNAAAJVbDR3WMw0tJakpqZ+99139NGTYlB+fj5fo0afPn2WLVvGl9bIycm5fv06X1oP1LGkpKTKGvzTViIdVN2GMHbs2ICAAPEvyxYXFx8/fvzZKqqY372mmHpVfdbR6urq7Ozshw8fsod12C2memUtzZs3txiABNlApH7zm9/853/+J1/qAOpz4BgEIHAcCECgio3mDjUB6JNPPqENWsIbNGiwa9cuVn7mzJn+/fs3a9ZsxIgRN27cmDlzZuPGjdu3bx8YGHjr1i2qMGjQIJpqhw4dShXYw4yMDPkLqWT48OHicnXhwoWgoCBaUOXVOCyZiQ+PHj1Kb52ZmSkYP9yPHDkyJSVFUHo7UlBQQG/aqlUr6nB8fDyVhISEiD8fCQ8P3759O21wgxKHQCgIRkREUB969uz56aefskKqkJaWNmbMGG9v76lTpxoMhtzcXNpp69evZxU4KhsRZD2RD0px+PKDIqJ1NCYm5sUXX2zZsuWoUaNYIy+99JL4OxEo8tKrLl++LH2VIuluUez8unXrKPFQbykLCrKxUElUVFTv3r3btm07adKkiooKM03JD5x8VwiSAETP0tGkMdJb+/r6cgHIFMr61CC9C/Xw7Nmz3JmseNQEY4fpIe3MNm3azJgx49KlS/QS6udHH330U9M15AOR7wR5HcF44Oia5XaL4k4wBQEIHAcCEKhio7lDTQCiD+v0Kf+VV15p166dXq9n5f369XvzzTfpAzTN2osXL7548SL18P333z9x4gT7PoZmalrn4uLiTp48yR6yT67cC6nkT3/6U9++fVmzs2fPfuGFFxSrcahjr7/++iojWiqoZNq0aZ06dSopKaH63bp1Y12Vt0Pl/v7+FLNo2aZxnTp1igobNWq0bds21jItYLRm0wY3KHEItD4FBATQ4nTkyBFKDBRxdu/eLdQM+b333lu9ejUVHjx4kKIPbRQXF/+70xLqGxFkPZEPSlAavvygiOhdaL2kQEA5icbLcg8dCEoJbE2NjY2ld5G+xBTpdxLyztMwaf1OSko6f/784cOHBdlYqGTOnDlZWVm0Hzw9PVn0VGxK8cAp7goxANF5RVmQatKq7+XlpTIAffPNN8OGDaOQQT2kN5WeyaaOmmDsML0FFdIupfLOnTvTqOfOnUuDunv3rrR9xYFwO0GxDnsX+emhuBNMQQACx4EABKrYaO5QE4AaNmxIU23Hjh3F7wOuXLlCJZQYjh8/Th9DR48eTYW06LIvXRiaqT/88EPpQ1omFV9In1+psLCwsLq6mlaXlStXKlbjUMeCg4OHG23evJlKysrKqGTIkCG0tNNaIpjoJ61YVMj99iPFACQ8Oyhxpd+zZw+1IP7t2JCQEPrUziq8/fbbrJCOV3JyMi2BVFP8VkNKfSNsW+yJ4qAEpeFLX8Whd0lMTGTb1EhERIRg/MqBWj5w4AAdiJ49e0q/YDODC0Bc5x88eODt7T1u3Lhr166JL1HsFe2lXr16zZ8/nz2UNyU/cKZ2BQtAlAXp1BVvGZb/CMwMivu///3v2bb0TDZ11Fg1iju0QUOmOiyBUZai7dOnT7M6jHwgInEnmKoj3y2mdoIpCEDgOBCAQBUbzR1qAtC8efNoNqe1ZN++fayQffoMrDF06FBBtqpJ10XxoeILCU36s2fPpqWXFu979+6ZqibF/QiMWbNmDb2Q/ahCMNHPtLQ0Kvz222+lL6xVAGItiLFm4sSJw4YNk1Yg3bt3p8WJPr5TzfPnz7NCKfWNsG2xJ4qDYrjhS1/Fkb4LxYL27duz7fDw8N/97ncHDx5s2rTpnTt3fnqBaVwAknd+x44dVE7Ha/ny5ewprleLFi2isYeGhlJwkQYgrin5gTO1K1gA2rBhA5204h6uTwASe2LqqEmrVVVVNaj5YfF3333XQBaA5AMRZDtBsY6gtFtM7QRTEIDAcSAAgSo2mjvUBCB2D9DIkSP9/f1LS0tpOzMzk+Zc8Wt5hla1pKQk8aFiAFJ8oWD8gQvN5r/97W+nTJkimGifIw9AZWVlPXv2pCXcy8uL3XSs2A6tTFQo3rbCUABiXyPdvHmT1n5pABIHJY5o+/bt1IL4B9T69u372muvSSsINYvTxYsXPTw8KNuxQin1jbBtsSeKgxKUhi/IDopI+i5vvPEGuzuHUOVWrVqNGzdO/GLDIosBiNy/f/+dd96hOMJ+66a0VxSPqJz9dKxfv35mApD8wJnaFSwAUYyjZ+kQsMKQkJD6ByBTR01azWIAkg9EvhPkdRj5bjG1E0xBAALHgQAEqtho7lAfgL755htaV373u98JxrXW19d39OjRtLro9Xo2+UZEREyYMIHdQSKYCECKLyRff/11AyN2J7KpalLUsbi4uGs1Hjx4MH369IEDBz58+HDUqFFBQUFlRvJ2qJB25oABA06ePHnlypWcnBwq7NGjx1tvvZWbmztkyBDqhhiApIMSR3T79m1vb296uzt37mzZsoXCEyuXL060QZGuSZMm9IG+vLy8srKSFjmW22rViCDpieKgiHz40lexOiJ6lzFjxty9e5fWZj8/P3aIyfXr1xs3bkx7QPy2zyLzAYiGSas4BSCKIzRG9pWGtFdUn/bPhQsXqFq7du1mzZplqin5gTO1K1gAolOCNmi3nD17lpqlQdU/AJk6atJqFgOQfCDynSCvw72LINktijvBFAQgcBwIQKCKjeYOiwGoZcuW4n91SUxMbFBz12d2dnZgYCB9bPXy8ho8eDCVbNq0qU2bNpRL7t27J8h+PYz4UP5ChrYDAgKqq6vZQ1PVRNzvAaIPzfTWtITQUyUlJZ07d2a/bkexnSNHjtCqT6+ixT4qKopKKJQ0M4qPj6dRiPdeSAclHRF97O7UqRM1Sy3MnDmTreXSCrQ4sZ/y0Po0Y8aMxkbUh9DQUPE2VfWNCM/2RD6onTt3Kg6fOygiWkd/+ctf0nipkcjISOldurSUdu3aVTwQFkk7LO88JR46dT09PSk3REdHs6ekvSJ9+vShY0F7hvos/ixS3pSgdODku0KQ3ARNEdnDaPLkydR+3QIQdyYrHjVpNRaA2P/IYwHozJkz4ssZbiCKO0E+WMHEblHcCaYgAIHjQAACVWw0d1gMQOZdu3aNPtyLDysqKlT+ShjuhaaorGaRYjvFxcUPHjwQH9IipPjbFE0NiiJCUVGRtAUzqFphYaH8vyjXqhGuJ4qDklPsPyWeyspKGq/8qfDwcMX/uV0f9C7cr9uRj4VtXL161WL24g6cYHZXUABVeTOTerU6amZwA1HcCfLBmmJmJ0ghAIHjQAACVWw0d+BvgYHUoUOHPDw85PfegsvA3wIDx4EABKrYaO6gj4P8BAlurLCwcO/evXwpuBAEIHAcCECgio3mjs2bN6v5bb8A4ALoYt+yZQs/C2jFRpMYOC8EIFDFRnOHXq93tD/3CAA2smrVqoqKCn4W0IqNJjFwXghAoIrt5o4FCxZYvO0UAJwdXeaxsbH89a8h201i4KQQgEAV280dubm54p84BQBXRZd5Xl4ef/1ryHaTGDgpBCBQxaZzB30utPp/FQYAx0EXeHx8PH/la8umkxg4IwQgUMWmc8ejR4/mzJnD/cFwAHANdGnPnTuXLnP+yteWTScxcEYIQKCKreeO27dvUwbC90AALoYuako/9C9/zWvO1pMYOB0EIFBFg7nj+++/j42Nxf1AAC4jMzMzLi6OLm3+arcHDSYxcC4IQKCKZnNHXl5eTEzMihUr8PuBAJwUXbx0CdPnmfz8fP4Ktx/NJjFwFghAoIrGc0dFRcXWrVsTjRLA5dDpxBeBS6ALNikpadu2bXb8fT+maDyJgeNDAAJVMHeAFeF0Au3hrAMOAhCogrkDrAinE2gPZx1wEIBAFcwdYEU4nUB7OOuAgwAEqmDuACvC6QTaw1kHHAQgUAVzB1gRTifQHs464CAAgSqYO8CKcDqB9nDWAQcBCFTB3AFWhNMJtIezDjgIQKAK5g6oD71eL33InU7cswC2gEkMOAhAoArmDqiPjIyM3Nxc8aH0dKJyelZ8CGAjmMSAgwAEqmDugPowGAxhYWGnTp1iD8XTidJPr1696NmfqgLYBiYx4CAAgSqYO6CeoqKiAgICWAZipxOlnx49eowZM4avCmADmMSAgwAEqmDugHrKz8/39fXt2rUrZSA6nSj9hIWFdenSZc+ePXxVABvAJAYcBCBQBXMH1F9ERES3bt0oA9Hp9DOjnj178pUAbAOTGHAQgEAVzB1Qfzqd7vnnn/cx6t+/P/37X//1X3wlANvAJAYcBCBQBXMH1J/BYAgKCmIBiHTp0qWiooKvBGAbmMSAgwAEqmDuAKuIiooaMGAAC0AvvfQS/zSAzWASAw4CEKiCuQOsIj8/v1+/fiwA4fZn0BImMeAgAIEqmDvAWiIiIuh0wu3PoDFMYsBBAAJVMHeAteh0Oh/c/gyawyQGHAQgUMUuc8cPP/xw+PDhlJSU5OTkJHAVCxcupNMpLi6OfwKcVrIRXap0wdJly1/JjsEukxg4MgQgUEXjucNgMNB8mpCQcPr0aQFczoEDB/gicAlnzpxJTEykJOSAf95E40kMHB8CEKii5dyxZ8+exYsXl5aW8pMrADgDuniXLFniaDe5azmJgVNAAAJVNJs71qxZk5WVxU+oAOBs9u7dq9Pp+CvcfjSbxMBZIACBKtrMHTRdHjt2jJ9HAcA5ZWdnr1u3jr/O7USbSQycCAIQqKLB3FFQUJCens7PoADgzOiiPnv2LH+124MGkxg4FwQgUMXWc8c///nPOXPm8HMnADi/efPm/fjjj/w1rzlbT2LgdBCAQBVbzx3bt2/Py8vjJ04AcH50ae/YsYO/5jVn60kMnA4CEKhi07nj6dOnMTEx/KwJAK4iLi6Ov+w1Z9NJDJwRAhCoYtO549atW7j7B8CF0QV+9+5d/srXlk0nMXBGCECgik3njo0bNxYVFfFTJgC4CrrAP//8c/7K15ZNJzFwRghAoIpN546lS5fy8yUAuJbExET+yteWTScxcEYIQKCKTecOBCC7WLhw4f79+/lSE6qrq0+cOMGX1lJ0dHT9G5Gq1RDqr/79r6ysPHfu3KVLl2iDf8426t9nxsyuPn78OF+kJCEhgb/ytWXTSQycEQIQqGLTuWPJkiX8ZPmsli1bNpAoLy/na0DthYWF0arGl5owa9as5cuXN2vWTHogmKioKL62CR06dFi1ahVXSAd31KhR4kOq8Nxzz0meN6dWQ6gVxVNOsf8qlZaWzpgxw9PTky6lzp0708a0adP4SjYg9rk++1kwu6vnzZtn6ikpBCBwNAhAoIpN5w6LAahFixZJSUmVNfinraRPnz7Lli3jSx2G1btnZknj0M4fMmSIwWCoqqpih8DX13f+/Plsm8r5F5igGCDo4FLCWLduHXtIFWikz1YxSf0QakvxlFPsv0pjx44NCAj46quv2MPi4mKVX5xI1eEcEPtcn/0smN3VlA5DQkI2bdrEP/EsBCBwNAhAoIpN5w41ASg1NVVacvTo0cDAwMzMTNqmVXnkyJEpKSmC8Y9R9+/fv1mzZiNGjLhx4warXFBQMHz48FatWrVv3z4+Pp5KaL4Wv88PDw/fvn37zJkzGzduTBWo2Vu3bplqSqSmTbY9aNAgmvqHDh1K7cgfyt+FKqSlpY0ZM8bb23vq1KksXsi7J1Ksn5+fHxERQfutZ8+en376qViZ3o761rJlS1qPKcSwJU3eB06/fv127dolLaHXSn9zQVRUVO/evdu2bTtp0qSKigpWSGstLbHULL0XKxEXY/YUu/OdOknt09DYW0sXZsVRKA6BlZsZhWJTguxwiOSnnCDpv2JrAwcO/OKLL2iD3p0O0+rVq2lbr9eHhobu2bOHwsf69esljf2bYlOC0mGVnwPSzptqRxqAarWfBRO7WnE/r1ixYvTo0eILFSEAgaNBAAJVbDp3qAlAr7/++iojSh6scNq0aZ06dSopKVm8eHG3bt1opRGMS/Wbb76ZnZ1N6zGVC8YVyN/fPygoKCMjIycn59SpU1TYqFGjbdu2sXbatGlD6/HFixdpjO+///6JEyfYJ355UyKVbbJtWoFo3YqLizt58qT8ofxdWIX33nuPVlBaNQ8ePEiF8u6J5PUpggQEBFA+O3LkCMUUKty9ezer3LdvXwqL1GFajby8vNiSJu+DVFlZGQ3twoUL0kIuAM2ZMycrK4veztPTkyU/6gOttUlJSefPnz98+DCrxhZjeiNaPllWEIwHd8eOHdQgHWJBsjCbGoXiEASzozDVlCA7HCLq1axZsw4afffdd2Jl6p6p1v7jP/5jypQpgjHeUSE9pO2tW7f26NGDog+VFBcXS97h/zPVlKB0WOXngNj5Y8eOmWlHDEC12s+CiV2tuJ8PHTpE8be6upo9VIQABI4GAQhUsencoSYABQcHDzfavHkzK6SFmQqHDBlCqyn7A/JXrlyh6ZtSyPHjx+lDM/tISrM5FXK/Z0gxrFCKYl8jCSaaEqlvUzCuQB9++KFYTfpQ8V2owttvv80q0G5PTk5m29LuScnrs+8bxD8rGxISMmnSJNqgsNiwYUPxllj2Qw3FPkgdOHDAw8PjwYMH0kIuADG0lPbq1Wv+/Pm0TfW9vb3HjRt37do1sQJ1dcGCBdTJ6OhosZAOLi2fFCWpG7t27RIXZsVRKA5BMLEnRYpNsW3u6IioV+3ateth9Nlnn7FCFiZMtbZ8+fIuXbrQBj18/vnnqTIFgjfeeCMqKoqCIL1E/G5MZKopQemwCrJzQOy8+XbEAKR+Pwu1PFtY+dmzZ9lDRQhA4GgQgEAVm84dagKQ/OcRZM2aNTTtij+8YJ+VA2sMHTqUCtPS0qjw22+/lb5QMaxIVxfFpkTq2xQkK5D8oeK7SCt0795dTQDi6rPuicvtxIkThw0bRhsbNmygJU0sZ0uaYh+kDh48KH0VwwWgRYsW0VuEhoY2b96cBSCyY8cO6hsdO0oGrIQeenp6UmCV/oiKLcy08corr/j7+1P/2cKsOArFIQgm9qRIsSm2zR0dkeIpxyqbau3y5ctUnpubS8kpOzubzgfappccPnyYxY7z588/05zqjomngTwAsTpq2qnVfhZqebbQtUDlf/vb39hDRQhA4GgQgEAVm84ddQtAZWVlPXv2DA8P9/LyYveWZmZm0izMfiAlog+7VEgrkLSQFif2TdLNmzebNm0qBiD6pM4qKDYlUt+mIFtipQ8V30Vx5ROe7Z6UvP727dupWfFvq/Xt2/e1114TjFGGyi9evMjK6bM+LWmKfZCi/dy4cWNubZMGIAo6tFKyn3P169dPDEDk/v3777zzDj3LbvehrtI7UidpiRVXVnFh/uabbyg/dezYkS3MiqNQHIJgYk+KFJti23UIQGZaoxNy/PjxPXr0oO3+/ftPmDChffv2VVVV1GEPD4/Zs2eLTTFmmpIfVkF2Doh11LRTq/0s1PJsocoU+7hCDgIQOBoEIFDFpnOHmgAUFxd3rQb7ccz06dMHDhz48OHDUaNGBQUFlRnRwjx69GiatfV6PZumqZA6P2DAgJMnT165ciUnJ4cKaYl666236AP6kCFDGtT815iIiAhasdhNxIpNidS3KciWWOlDxXdRXPmEZ7snJa9/+/Ztb29v2j937tzZsmULJTNWgfYbrXxUfvbs2VmzZlEnaUlT7AOHFkVKOdISaQCixps0aXLhwgVKhLQKUstUSH2ghxSAaGmkDrBvy1hXKUu1bduWggK7ZURcmAXjN0nUK7YwK45CcQiCiT0pUmyKPVWHAGSmNToBqEszZ86k7Q8++IC2p06dyp6aMmUK7aW0tLTy8vLKykrKi9S+mabkh1WQnQNiHTXt1Go/C7U8W2hcL7/8Mts2BQEIHA0CEKhi07nDYgDifikLfQzduXMnTejsztySkpLOnTuz36qSnZ0dGBjYsGFDLy+vwYMHs5cfOXLEz8+PXti4cWP2S2to7WlmFB8f36ZNG3Y3z6ZNm2ibmr13756ppkQq2yT0UVu6xHIP5e8irUArn/gjD657IsX6tIs6depEzVL3aD0Wl0zKkR5GkydPDg0NZelB3gcOVXv++eelJTT22NhYtk39oaWUdgU1SEeB/SiQEg+dM56enrS4inf8iF393//9X0oDf/7znwXjwRXvkqZk0Lt3b/F/JymOQnEIgqVRKDYlyA6HiHol/w/nYmVTrVGAoP2wZ88e2s7KyqJtKmFPUXSYMWNGYyPqIfWc3UFsqinFw8qdA9I6Ftup7X4WTOxq+X6mDyEhISFr165lrzIFAQgcDQIQqGLTucNiAKqta9eu3b9/nyssLi6W3slLS4j8FypWVFRcv35dWqLYlEhNm2qYfxeRvHtmVFdXFxUVcTcvC8aVmD7rc4WC2T5QUxMmTNiwYQP/hIR4s/PVq1fF/w1EvaXV8adKtac4ClNDECyNQt5UndWtNapfWFjI/S/9WjVl5hyoVTscU681taul+3np0qXvvvvus88rQAACR4MABKrYdO7An8JwfLTufvnll3wpgCBkZGTIfzIrh78FBo4GAQhUsencQR8N+ckSAFwLAhA4GgQgUMWmc8fmzZsvX77Mz5cA4CroAt+yZQt/5WvLppMYOCMEIFDFpnOHXq9fuXIlP2UCgKtYZfwN2vyVry2bTmLgjBCAQBVbzx0LFiww/3v0AcBJ0aUdGxvLX/Oas/UkBk4HAQhUsfXckZuby/25TQBwDXRp5+Xl8de85mw9iYHTQQACVTSYO+gzouJ/uAUA50UXdXx8PH+124MGkxg4FwQgUEWDuePRo0fR0dHcnzoHAOdFl/PcuXPp0uavdnvQYBID54IABKpoM3fcvn2bMhC+BwJwAXQhU/qhf/nr3E60mcTAiSAAgSqazR3ff/99TEwM7gcCcGp0CcfGxtLlzF/h9qPZJAbOAgEIVNF47sjNzV2wYMFnn32G3w8E4ETogl2xYgV9hnGEu545Gk9i4PgQgEAVu8wd5eXlW7ZsSUxMTADXQqcTXwTOjy7VrVu32v33/Zhil0kMHBkCEKiCuQOsCKcTaA9nHXAQgEAVzB1gRTidQHs464CDAASqYO4AK8LpBNrDWQccBCBQBXMHWBFOJ9AezjrgIACBKpg7wIpwOoH2cNYBBwEIVMHcAVaE0wm0h7MOOAhAoArmDrAinE6gPZx1wEEAAlUwd0B96PV66UPudOKeBbAFTGLAQQACVTB3QH1kZGTk5uaKD6WnE5XTs+JDABvBJAYcBCBQBXMH1IfBYAgLCxMzkHg6UQmV07M/VQWwDUxiwEEAAlUwd0A9RUVFde3alWUgdjrRdo8ePcaOHctXBbABTGLAQQACVTB3QD3l5+f7+vp2796dcg+dTvTvz372sy5dumzbto2vCmADmMSAgwAEqmDugPp74YUX/P39e/ToQadT7969Bw4cSHmIrwRgG5jEgIMABKpg7oD60+l0gwcP9jEaPnw4/fvOO+/wlQBsA5MYcBCAQBXMHVB/BoMhMDCQBSDm/v37fCUA28AkBhwEIFAFcwdYRVRUVJ8+fVj6ef755/mnAWwGkxhwEIBAFcwdYBX5+fnPPfccC0C4/Rm0hEkMOAhAoArmDrCWF154gU4n3P4MGsMkBhwEIFAFcwdYi06n88Htz6A5TGLAQQACVTB3SP3www+HDx9OTU1NSUlJhlr6y1/+QqdTbGws/wRYkmJEJx6dfnQS8uclmIVJDDgIQKAK5g7GYDDQCpSUlJSbmytAXR04cIAvAtUePXqUl5dHJyElIfwVEfUwiQEHAQhUwdxB9uzZs3Tp0nv37vErEoA93L9/PyEhISsriz9TQQkmMeAgAIEqmDt0Ot3evXv5JQjA3vbt20cnJ3++ggwmMeAgAIEqbj53rFu3Ljs7m195ABzD8ePH09PT+bMWnuXmkxjIIQCBKu48dxQWFtLqwq85AI5k/fr1586d489dkHDnSQwUIQCBKm47d/z4449z587lVxsAxzNv3jw6XfkzGGq47SQGpiAAgSpuO3fs2LEjLy+PX2oAHA+dqLt27eLPYKjhtpMYmIIABKq47dwRGxvLrzMAjio+Pp4/g6GG205iYAoCEKjinnPH7du3cfcPOBE6XUtLS/nzGIzccxIDMxCAQBX3nDs2bdpUVFTELzIAjopO1y+++II/j8HIPScxMAMBCFRxz7kjISGBX2EAHFtSUhJ/HoORe05iYAYCEKjinnPH0qVL+eXFehYuXLh//36+tK7WrVs3adKksrIy/gm70uv1hYWFFRUV/BP1YKORWvdwmBEdHX3ixAk1hXWTmJjIn8dg5J6TGJiBAASquOfcYT4APXz4sEGDBhs2bBBLunbtumnTJkkVc8LCwmjR5UvrqqqqaurUqePHj+efsJ+ZM2e2bt26Y8eOHh4eOp2Of7qubDRSKx4OGvKqVav40hodOnSQP6tYWDcIQKa45yQGZiAAgSruOXeoCUDr168XSwICAjZu3CipYo75FbdPnz7Lli3jS82qrq7Ozs6mXvFPaEXa56NHjzZq1Oj8+fO0ffny5e+++46roMhiBcYWIzV/OGolJyfn+vXrfGkNxayjWFg3CECmuOckBmYgAIEq7jl31DkADRo0KCUl5cUXX2zZsuWoUaNu3LjBKpw5cyY8PJwKx44d6+vrK664UVFRvXv3btu27aRJkyoqKmbOnNm4ceP27dsHBgbeunWLvbB///7NmjUbMWKE2JpFBQUFw4cPb9WqFTUVHx9PJSEhIeIPeqgn27dvF4y9TUhIGDp0KDUuf6j41lQnLS1tzJgx3t7eU6dONRgMXJ937txJO2f37t2svmD8QogblC1GzbXJCuW9ZeWmDgdDu+7jjz9m2xcuXAgKCqJYY6p9bgdmZGQIJjrz/9i77/Coqvx/4AiE3lUglZBCEkGaSjMgCnxZBV07+sOFhXVdlPisWwIoJaEIBHBRLGCoQqQGCILwwEoVQyhSVJDQQwlJCAzX8n3wqyu/t3M2l8u5M5MzMzeTYfJ+/cEzc+6Zc8uc+Zz3TCYBWWf06NHS3DAGIPNZz549G9EQLThO0ccFBiBnKmYRIxcYgEhJxawdHgcgrGdYrrCgIgbVr18fC57o0Lp16549e+7YsQPrZbVq1fQVd/jw4VlZWRs3bgwKCkIoOXjwIC74q6++unXr1suXL6NDmzZtBg0atHnzZiyoEyZMKNmhKwUFBWFhYVi2sRhv27YNO0VjlSpVlixZIjrgwLCyavajRfJISUnZvn27+a7DXYs+Q4cOnTlzJi7Cp59+Kh3zpUuXsIpjd//85z/FRzXmkyqLs5bGFI3moxXtzp4O4bXXXkMHcTs5Ofn+++/XXI5vvIAizTjrbJ4bxgAknTWSE0JhWlra/v37N2zYIPq4wADkTMUsYuQCAxApqZi1w5sAhHVINPbv3z8xMRE3Tpw4cdttt+nfdTX/zAVLXXx8/MiRI3G7WbNmWCBF+5EjR7AjBJctW7ZgtN69exsf5cyqVavwKOnvGDkLQIgpeh/jXWe7Rp+XXnpJ3MbcmDJlinbzMUNhYeGAAQPw8M6dO+PczR0Ea89aMI6pOTnaUp+OL774AgewZ8+eq1ev4pl9//339U3m8aULaPx5lrmzeW7oDzGfNaJkgwYNnnjiiePHj5cM6QoDkDMVs4iRCwxApKRi1g7XAejKlStYq4zrYmho6EcffaTdvARiWcU7eNyYN28eVlz9RyHGFXf8+PFICXFxcbVq1TJHAfG5RXSJTp06iXbXZsyYgUcdPnzY2OgsABkXbONdZ7s29omMjHQYgISMjIzatWv369fP3KEszto8pubkaF08HToEl+Tk5HXr1tWsWfPChQuawvjGu6V21ueG3ujwrJcvX44OuIzvvPOOeKALDEDOVMwiRi4wAJGSilk7XAcgzb5uDR48WNy22WxYJsWPV4yL3AsvvCC+uoFNWNsOHjwo2lu0aCFWXCxvWInFTzfatGmjR4G0tDTRc+XKlXig+BmWuszMTDxKfBlFhwC0aNEi3Dh9+nSNGjVKDUDOdu0wUhiP2QiXKCQkRLu5Q1mctcMxNSdH6+zpMBozZgz6P//8888995ymNr5+V6WzPjf0RmdnnZ+f/5e//AUDlvqXORmAnKmYRYxcYAAiJRWzdpQagPr27RseHr558+aCggIsnwhACBaafT3r06fPuXPndu7cGRoaOn36dDReunSpVq1aAwcO3Lt378svv4x1Tqy4WPmqV69+4MABhJVGjRphExoTExOfeuop8XXdixcvIkD07t0bqzV2ZF4dHcKj8Kzdc88927dvP3LkyLZt29DYvHnzF198MTs7u2PHjjiAUgOQs107jBTGY167du3ChQsvXLhw6tSpli1bPvDAA1KHsjhrh2NqTo7W2dNh9NVXX1WyE98cVxlfv+uis3lu6COYzzovLw8jIAAhsSG/Sh/pmTEAOVMxixi5wABESipm7Sg1AO3fvz8hIQELZHU7sZhp9vWsQ4cOyEN4y96tWzesdqI9JSWlsl2/fv3i4uLEiouU0KpVKwyClgEDBoifUi1YsKB+/fq1a9cWP3lBxoqOjsZo1apVw8gl+y/Fxo0bscRi5KpVqyYlJaFl2rRpNe1SU1MxvviGkPR3a6S7Dndt7INIIX5uZTxmtATZIWT07NkTIUPqUBZn7XBMzcnRak6eDgn2i4x79epVTW18/a6zzpgbDz30kDQ3jCNIZ43Eg1cfrmSDBg2GDRum78UZBiBnKmYRIxcYgEhJxawdpQYgzf43abBEZWdn4/263ije0BcWFpr/Hgze4p89e1ZqBP0rrseOHRPLbVFRkfRw9MnPzze2qMjNzb106ZJ+FwszDsywXYniro3HXFxcvGfPHhFlHHbQyuaszWO64OzpcMGt8c2dkXguX77scG4YSWeNzop/94gByJmKWcTIBQYgUlIxa4fH/xeY9DMRIp9hAHKmYhYxcoEBiJRUzNrhcQDKzMw8cuSI3EpU9vifoTpTMYsYucAAREoqZu1YtGjR119/La8wRP4K03Xx4sXyPCa7ilnEyAUGIFJSMWtHQUGB8c/8EPm5Dz74oKioSJ7HZFcxixi5wABESips7Rg1alSpX3Ql8geYqGPGjJFnMJWosEWMnGEAIiUVtnZkZ2dnZmbKSw2R/8FE3bVrlzyDqUSFLWLkDAMQKanItQPvqt39TWkiH8MUTU1NlecuGVTkIkYOMQCRkopcO7777rthw4aJ/5+cyA9hco4YMQITVZ67ZFCRixg5xABESip47cjLy0MG4udA5IcwLYcPH45/5VlLN6vgRYzMGIBICWvH999/P3r0aH4fiPwKJuSYMWMwOeX5SiYsYiRhACIlrB1Cdnb2qFGj3n33Xf59ICpHmH6YhEjkmJDyHCUnWMRIwgBESlg7jAoKCjIyMiZNmjSRPILpJDeRMkw8TL/CwkJ5XpJLLGIkYQAiJawdZCFOJ/I9zjqSMACREtYOshCnE/keZx1JGIBICWsHWYjTiXyPs44kDECkhLWDLMTpRL7HWUcSBiBSwtpBFuJ0It/jrCMJAxApYe0gC3E6ke9x1pGEAYgcKygoMN6Vaoe0lcgtXIrI9zjrSMIARI5lZGQY/8aasXagHVv1u0Tu4lJEvsdZRxIGIHLMZrMlJCToGUivHWhBO7be6ErkJi5F5HucdSRhACKnXnjhhcjISJGBRO3AbbQMGDBA7krkDi5F5HucdSRhACKndu3aFRwcHBcXh9yD2oF/cRstOTk5clcid3ApIt/jrCMJAxC5cvfddzdv3jw+Ph61A/9GRka2bt1a7kTkJi5F5HucdSRhACJXpk+fHhISEhsbi9oRHR0dGho6Y8YMuRORm7gUkY/ZbDbMOn55kYwYgMgV1Ivw8PCmJXCbFYS8xwBEPvbee+9h1qWnp8sbqAJjAKJSPPvss3oAev755+XNRO5jACIfa9OmDWZd165d5Q1UgTEAUSl27doVERGB2oF/+fVnsgQDEPkSCldkZCRmXfv27VnESMcARKW7++67UTv49WeyCgMQ+dILL7wgPsPu2rVrUlKSvJkqKgYgKt306dNRO/j1Z7IKAxD5jM1mE59hQ2hoaGxsLL/ISAIDEJWOv0BB1mIAIp957733wsLCRACCBx98kF+FJoEBiJRwxSILcTqRz4ivP4vvAIk/6sGvQpPAAERKuGKRhTidyDdycnKCg4ObNWu2c+dOzLrFixfjLmIQvwpN1xmASBFXLLIQpxP5xgsvvBAWFob0c71k1iEDoYVfhabrDECkiCsWeaOgoMB4V5pO0lYiS9hsttjYWJF+rhtm3dKlS+Pj4/mlRmIAIiUMQOSNjIyM7Oxs/a5xOqEdW/W7RFbhrCPXGIBICQMQeQPvthMSEvTVSJ9OaEE734tTWeDnjuQaAxApYQAiLw0dOrRZs2YiA4nphNtRUVFPPPGE3JWoDLCIkYQBiJSwdpCXcnJyQkJCoqOjkXswnfBvy5Ytg4OD586dK3clKgMsYiRhACIlrB3kvS5duogMhOnUqlWrbt26RUREyJ2IygaLGEkYgEgJawd5Lz09vV27dk3tHn/8cfz7xz/+Ue5EVDZYxEjCAERKWDvIezabLSoqSgQg4fTp03InorLBIkYSBiBSwtpBlhg6dGiLFi1E+unQoYO8majMsIiRhAGIlLB2kCVycnJatmwpAhC//ky+xCJGEgYgUsLaQVbp0qULphO//kw+xiJGEgYgUsLaQVZJT09vyq8/k8+xiJGEAYiUsHa49tNPP23YsGGa3VRyafz48ZhOo0aNkjfQzcR0AkwtTDB5zpGbWMRIwgBESlg7nLHZbFir0tLSdu3a9f3332ukYN26dXITOfLdd99hUuXk5EyZMgVJiP9niDdYxEjCAERKWDscysrKmjhx4oULF+SFi8hq+fn5kyZNwpSTZyGpYREjCQMQKWHtMEtPT1+zZo28TBGVpbVr12LiyXORFLCIkYQBiJSwdkhmz569efNmeXUiKntbt26dM2eOPCOpNCxiJGEAIiWsHUZ79uzBCiSvS0S+Mnfu3H379snzklxiESMJAxApYe3Q/fLLLyNGjJBXJCLfev311zEV5dlJzrGIkYQBiJSwduiWL1++a9cueTki8i1MwszMTHl2knMsYiRhACIlrB26MWPGyGsRUXlITU2VZyc5xyJGEgYgUsLaIZw5c4bf/iE/gal47tw5eY6SEyxiJGEAIiWsHcL8+fOPHj0qL0RE5QFTceHChfIcJSdYxEjCAERKWDuEiRMnyqsQUfmZPHmyPEfJCRYxkjAAkRLWDoEBiPwKA5A6FjGSMACREtYO4c0335SXIOuMHTt27dq1cmvFcPny5X379h06dAg35G2Ba9iwYVu3bpVb3TFp0iR5jpITLGIkYQAiJawdgusAVFxcXKlSpXnz5uktERERCxYsMHRxJSEhARlIbvVInTp1KhkUFhbKPcrAnXfe+cEHH8itpTl//vzgwYODgoIwx5o0aYIbAwYMkDv5nGfn4q477rjDy70wAKljESMJAxApYe0QVALQ3Llz9Zbw8PD58+cburjiOgC1atXqrbfekludqF27dlpa2uUS8maLSIe0bdu2kydPGrYrefTRR3GVPv/8c3E3Nzd3y5YtN3cpnVsXx8jZAz07F3cxAPkSixhJGIBICWuH4HEAuu+++6ZOndq1a9c6der06tXr1KlTosMXX3zRtm1bNCIHhISEiACUlJTUsmXLhg0bPvPMM0VFRWgZMmRI1apVb7/99ujo6DNnzogHtm/fvmbNmj169NBH0yEATZs2zdiyadMmPHblypW4feXKlZ49e+J4NCfj7N69u3v37nXr1sUeU1NT0dKiRQv9x3M44KVLl5oPCeeYkZGBGzk5OYmJiTiGqKiot99+WzxKdJgxY0afPn0aNGjQv39/m82WnZ0tXTGd+iDmI5FOytm5mx9o3Is4F/PujN0E8+UyP4PmPpo9AGFGSYM7fEacYQBSxyJGEgYgUsLaIXgcgLDUYUlDvsHSW79+/dGjR4sOrVu3xnq8Y8cOrGTVqlUTAWj48OFZWVkbN24MCgpC1EDLwYMH8RS8+uqrW7duFZ/otGnTZtCgQZs3b8ZCO2HCBH2PAnLDs88++4Edll7ROGDAgMaNG584cQL9mzVrVlBQoDkaB+1hYWExMTFIANu2bcOxobFKlSpLliwR4+D4Z8+ebT4k8XkG1nucNRZ7HD9OExdk1apV4oHogMAxdOjQmTNnov3TTz/FtcKN3Nxc0UHn1iDmIzGflMNzNz9Qp382Y96dsZvm5HJJz6DDPpqTwc0H7wIDkDoWMZIwAJES1g7BmwA0efJk0Yj3+omJibiB9fi2227TvwYr/QgMISA+Pn7kyJHiLpZt8bkFHDlyBDtCItmyZQtG6927t/4oAQEoNja2u92iRYtE48WLF9HYsWNHRDEsz5qTcRA10Cj9vUdzANJuPiStJDSsXr0aD//ss89EY4sWLZ555hm9w0svvSRuY0ZNmTIlLS0NncVnJEZuDaIpXBzzuQvSKeiMAci8OyOHl0vQn0FnfcyDOzx4FxiA1LGIkYQBiJSwdgiuA9CVK1ewer3//vt6S2ho6EcffaTd/G0PpJzbb78dN+bNm4cApC//egAaP358586d4+LiatWq5TAAiQ8Mokt06tRJtOvMPwITZs2ahQf26NFD3HU4zowZM9B4+PBh4wPVA5B4uH5STz/9NM7F2EHcjoyMxHqfkZGBzvv37xeNOrcG0dQujnTugkoAMu/OyOHlkp5Bh300R4M7O3hnGIDUsYiRhAGIlLB2CK4DkGZf0gYPHixu22y2mjVrip9rGJe6F1544dFHH8UNbMJqd/DgQdHeokULBKDly5cjFW3YsEGz/zTEGIDS0tLE7ZUrV+KB+k9SzBwGoIsXL0ZFRbVt27ZatWriS8cOx8nMzESj+AaMDgFIfJJ0+vTpGjVq6AFIPySt5ByXLl2Kh+v/X2zr1q0fe+wxYwdxW6z3OPfKlSsnJyeLRp1bg2gKF8d87oJ0Cjr1AGS+XOZn0NxHMA/u8OBdYABSxyJGEgYgUsLaIZQagPr27RseHr558+aCggKkGQQgJAbNvtT16dPn3LlzO3fuDA0NnT59OhovXbpUq1atgQMH7t279+WXX8bKh4dgRaxevfqBAwewXjZq1AjtYuTExMSnnnpKfE8Wy3lISEjv3r0RILAj83qJAJSSknK8BHaERuzo3nvvLS4u7tWrV0xMzEU78zhoxNN9zz33bN++/ciRI9u2bUNj8+bNX3zxxezs7I4dO+I4RQAyHpJWspzn5eU1aNAA+zp79uzHH3+M5KSv8eb1Hjeee+45nO+MGTMKCwsvX76M3IDo5u4gpV4c87mLEaRT0KkHIPPlMj+D5j7isebBHR68CwxA6ljESMIAREpYO4RSA9D+/fsTEhIQEarbiaCj2Ze6Dh06IA/ddttt3bp1QxIS7Ygple369esXFxeHAHThwoVWrVphBNwdMGCA/rOnBQsW1K9fH8kGHXAXGSs6OhqjVatWDSOX7P+/pL8DtHLlyhUrVuCxWJU1+3ePmjRpIv7cjsNxNm7ciJSGB1atWjUpKQktCCU17VJTU3EY4uss0iHpfzsHu2vcuDHGxMOHDBmixwvjH9fBei9+9oQlf/DgwVXtcAw4a/HNX7cGcX1xnJ27+YE6fS8OdyeRLpfDZ9B8STUngzt8RpxhAFLHIkYSBiBSwtohqPxXGFevXj18+HB2drb4VSNBvNcvLCw0/3UZJICzZ89KjcePHxc3jh07hgHF7aKiIunh6Jafn29s8YzDcXJzc8VHRwLWdfMfVDQfkoBjPnr0qPHhrqHnnj17pN/6dmsQ85E4PCkz8wM9I10uh8+g1McFxYPnf4WhjkWMJAxApIS1Q1AJQA4Zf9hBZBUGIHUsYiRhACIlrB3C/Pnzjx49Kq9CCjIzM48cOSK3EnkBU3HhwoXyHCUnWMRIwgBESlg7hDNnzpj/mgtRucBUPHfunDxHyQkWMZIwAJES1g7dmDFj5IWIqDykpqbKs5OcYxEjCQMQKWHt0C1fvlz/+zRE5QWTMDMzU56d5ByLGEkYgEgJa4ful19+GTFihLwcEfnW66+/jqkoz05yjkWMJAxApIS1w2jPnj38JhCVo7lz5+7bt0+el+QSixhJGIBICWuHZPbs2Zs3b5bXJaKyt3XrVuRveUZSaVjESMIAREpYO8zS09PXrFkjr05EZWnt2rWYePJcJAUsYiRhACIlrB0OZWVlTZw4UfpfFIjKQn5+/qRJkzDl5FlIaljESMIAREpYO5yx2WxTp05NS0vbtWvX999//91338kLF5GnMJ0wqXJycqZMmTJt2jRMNnn+kTIWMZIwAJES1g7XfvrpJ/HfmMNUKg2mk9xEJmI6AaYWJpg858hNLGIkYQAiJawdZCFOJ/I9zjqSMACREtYOshCnE/keZx1JGIBICWsHWYjTiXyPs44kDECkhLWDLMTpRL7HWUcSBiBSwtpBFuJ0It/jrCMJAxApYe0gC3E6ke9x1pGEAYiUsHaQhTidyPc460jCAERKWDvIGwUFBca70nSSthKVBRYxkjAAkRLWDvJGRkZGdna2ftc4ndCOrfpdojLCIkYSBiBSwtpB3rDZbAkJCbNnzxZ39emE9BMbG8v/4YF8gEWMJAxApIS1g7yUlJQUHh7+r3/963rJdEL6CQsLe+qpp+SuRGWARYwkDECkhLWDvJSTkxMaGoqJhAyEf5F+IiMjg4ODjT8aIyo7LGIkYQAiJawd5L1u3bp16NChqV3z5s3xb8uWLeVORGWDRYwkDECkhLWDvJeenv7YY4+JAATBwcHTpk2TOxGVDRYxkjAAkRLWDvKezWaLi4tLSEgQASgsLIxffyafYREjCQMQKWHtIEskJSU9+eSTIgDx68/kSyxiJGEAIiWsHWSJnJycTp06iY9/+PVn8iUWMZIwAJES1g6ySrdu3Zry68/kcyxiJGEAIiWsHWSV9PR0TCd+/Zl8jEWMJAxApKR8a4emaSkpKRMpIOCpxHTiExowRo0adfnyZflF63/Kt4iRH2IAIiXlWDuQfpKTk8+fP69RoFi3bp3cRLcsvDb/8Y9/+H8GKsciRv6JAYiUlFft0Jh+iPzeLZGByquIkd9iACIl5VI7NKYfoluE/2egcili5M8YgEiJ72uHxvRDdEvx8wzk+yJGfo4BiJT4uHZoTD9EtyB/zkA+LmLk/xiASIkva4fG9EN0y/LbDOTLIka3BAYgUuKz2qH5cfr561//euzYMbn11vHZZ5+tXr3afFt35syZcePGPf/885s2bfLyZC9cuLBr1668vDx5g6W8PMhyVOpzYebxyXr8QI/5ZwbyWRGjWwUDECnxTe3Qyj791KtXr1q1akFBQZUqVcK/uI1Tkzs5cvXqVTwkOztbb/F4qFIZ93XVTmr0zPTp03F5zbd1f/vb37p3775gwYIdO3Z4vK+vv/76gQceqFWrVosWLapWrdqwYcOLFy/KnZzTz7dUzi6I+ggqyuu5kHi8R48fqCk81sWl9sMM5JsiRrcQBiBS4oPaoZV9+tHt378flf3bb7+VNzjnbDHwYCgVO3fuLCwsxI26dev++9//lho9U+qie99997399tua85Mt1ZUrV1q1aoUAJJ7HgoKC9evXo1Hu55zxfF1zdpDqIygql+dC4uxkS+XxAwXXp+n6UvtbBvJBEaNbCwMQKSnr2qEppJ9z585FRETk5ubi9uLFi3v06CHaUWTDwsIaNGjw0Ucf4e7cuXNDQ0Ojo6NnzJghOmANaNas2ciRI0NCQubPn685Si2PPvpoeHh4w4YNJ0+eLFqkYfWFBIt6z549J02aJLpJQ5n3JY0sOkybNi0uLg7HmZGR4XBf6LNv376BAwdi8CZNmjz99NN6o9gRHhgTE1OzZs2OHTviqBwOK3G96CYlJQUFBTVq1OjBBx+UVk1pX/fcc8+nn36K9vfeey82NvbSpUu43b9/fzwpq1atwgNXrlxpHNk8gubkOpjP13glzadsXtpdj3CrPBeAK/zUU0/Vq1cPB3/ixAlxshMnTpTGNM92hw80zltxeKmpqfj3rrvuEldGM52FZjh3h2dkvCBiBDO/ykBlXcTolsMARErKtHZoCukH8vLyUHCPHDmC27Nnz0btxo2DBw+i8YsvvkB9xwhFRUXiXemhQ4dq1KghvoMi1oAOHTrs2bMH3TRTaoGlS5deuHBh4cKFt99+u81mk4bVB8Eb4kft0Ec80ByApH1JI4sOyA3bt2//29/+1q5dO2f7wiJUXFyMs8CShpBhXO9xFys01ryzZ88OHjy4V69e5mHF8Ri5XnSxr1atWqEd19D1vvr16/fKK69gU/fu3dFt3bp1OMHatWufOXMGwQIrqPSZgXkEreQcpQM2n69+Jc2DGA9S52IE7ZZ6LpDSEElxtEj8CBAOxzTPdmcPNM5b0YIwtHfv3gkTJuCBDi+vZjh3h3s3XhDjwUv8JwOVaRGjWxEDECkp09qRkpJy/PhxuXCaOAxAKL542xoVFTVv3jzN/slQ9erV+9vVqVNn0aJFWkkd37Fjhz6UOQBh8c7MzMS6jnas39KwWskgiYmJqP5iNRUcBiDjvqSRRYfNmzdj07Jly/A23dm+xPqKPCF+ymBsxAPr168vQhhaqlateurUKWnYkv3f4HrRhdatW7/33ntaafvCMom18Ny5c4gRuM5///vf58yZIz6QmzhxYq1ataQAZB7h9OnT5usgOkvnq19J8yDilKUApDkfQbt1ngsENYyDLKK3mA9VczTbnT3QOG+NBy9CzIoVK8xnoT9HegAyn5F+QVzDa7apd+SS4RGrxqGAwQBESsq0dqBEjhgxAm9n5cJ5M2MAmjVrlghAgHI/atQovBUeNmzYO++8gwV4+fLlmXaHDx/Wbq74gpRasKl27dojR46cOXOmWBqlYfVBevfujVUfb52dDSXtyzyysQOOU6wlDvflYtFdsGDBnXfeKXaBg6lcufLRo0fNw0pcL7qakwBk3hf+rVKlCg746aefzsjIaNu2bd++fd99913Nvms8EAuzYVQHI+Tm5jq8DpqT83U4iPGUjZyNcAs9F7iqSDb5+fl6i8NDNc92Zw80zlvjUAh8CECbNm0yn4XxOXK4d00tAJ0/f15cSfllr8yq4mPVOBQwGIBISVnXDk0hA2HFQrFes2bNl19+GRYWJgLQuXPnvvnmG9xAke3YsSPiSFBQEBZjlOzLly+L3z+SFkLNlFomTJjQokUL9EeuQvuZM2ekYY2DDBo0KDQ0VEQr81DSvswjm9cSF/vCbVz5uXPnSo14K4+VD5cCb9mxduL9vXlYcQBGrhddzUkAMu8LjZ07d65WrRpWTRw8LjgWwtOnT2v2TxTi4uLuu+8+8ZHeiRMn0tPTESnMIzg7YIfn6/AwzE+r4GyEW+i5wAuhfv36b7zxBgLKqVOnnGU182x38UB93oqWyZMn4yGLFi0SPw00n4VmOE2He9cMF8QZ79PPdeuKj1XjUMBgACIlPqgdmkIGGjp0KNbdJk2avPjiiyIAoSg3aNAAeSgqKiorK0uz/3QMa0Djxo1R2bFCa6aFUDOlFqwKERERSFePPPJI8+bN/+d//sc8rD4IVognn3wyJiYGK6h5KGlf5pGNHVasWIG1xMW+cDslJaVOnTpYvaSRp06dimEbNmwYHBy8fv1687Cim5HrRVezB6D3339fM52FtC/NflTVq1e/cOECbnfq1OnBBx/UBzlw4ECXLl2qVq2KM6pbt+5DDz2ExdU8grMDdna+mukwzB0EZyPcWs8FUlrt2rWxOxwPLqmzMc2z3dkD9XmLqIqW3//+9+Hh4XgS9W9Pu3iOnO1dvyDirsSS9HPduuJj1TgUMBiASIlvaoemkIHy8vKumv70yMmTJ4130SE3N1d8oUERHiICDd40i3VdMw3rGYcjm7nYFx5l/NaRDu/gVb47pSt10XXB3X1h8du3b5/xF+DVR3B2vpryIM5GuLWeC8UxzbPd9QP1NJOfny+91lw/0CFnF8Sq9HPduuJj1TgUMBiASInPaoemkIHIMxs2bFi2bJn5NvleOT4X0sdXZcHC9HPduuJj1TgUMBiASIkva4fGDERUlg4fPlxcXCy3WsTa9HPduuJj1TgUMBiASImPa4fGDER0C7I8/Vy3rvhYNQ4FDAYgUuL72qExAxHdUsoi/Vy3rvhYNQ4FDAYgUlIutUNjBiK6RZRR+rluXfGxahwKGAxApKS8aofGDETk98ou/Vy3rvhYNQ4FDAYgUlKOtUNjBiLyY2Wafq5bV3ysGocCBgMQKSnf2oHaOm7cuKkUKDCd5Ca6ZeG1WXbp57p1xceqcShgMACREtYOshCnE6mzarZYNQ4FDAYgUsLaQRbidCJ1Vs0Wq8ahgMEAREpYO8hC0nTq3r17z5499buPPPLIsGHDDNupQrOq+Fg1DgUMBiBSwtpBFpKm04EDBypXrpyVlYXbK1asiIiI+OGHH4wdqCKzqvhYNQ4FDAYgUsLaQRYyT6c///nP0dHRRUVFISEha9asEY2LFy8ODw+PjY1NT08XLW+88QbiUcOGDZcvX37jwRTQzLPFM1aNQwGDAYiUsHaQhczTqbCwsH79+pGRkY8//rhouXbtWr169bKzs0+ePFmjRo0rV66cOHGiUqVKBw8e/PHHH8v0147Ir5hni2esGocCBgMQKWHtIAs5nE6TJk0KCgo6d+6cuJuVlVW9evU/2tWtWzczM/Onn35q0aJFTEzMkiVLbn4oBTKHs8UDVo1DAYMBiJSwdpCFHE6nVatWNWjQQL/74Ycf1q5de926devt8vLy0Giz2caPH1+vXr3Ro0ffeCQFNIezxQNWjUMBgwGIlLB2kIUcTicpAB07diwoKGjOnDm//vrrzz///MMPP1y9evXMmTPYhPTTpUuXG4+kgOZwtnjAqnEoYDAAkRLWDrKQw+kkBSDIyMhAS5MmTe64445ly5YdOnSoYcOGERERMTExmzZtMvakAOZwtnjAqnEoYDAAkRLWDrKQ+nT69ddf8/Pz//Of/+gtRUVFhu0U+NRni2tWjUMBgwGIlLB2kDcKCgqMd6XpJG0lMrKq+Fg1DgUMBiBSwtpB3sjIyMjOztbvGqcT2rFVv0sksar4WDUOBQwGIFLC2kHesNlsCQkJW7ZsEXf16YT0Ex8fj603uhLdzKriY9U4FDAYgEgJawd5KSkpKTw8fPPmzddLphPST2Rk5COPPCJ3JTKwqvhYNQ4FDAYgUsLaQV7KyckJCQkJCwtDBsJ0Ep/9BAcHr1+/Xu5KZGBV8bFqHAoYDECkhLWDvNe1a9eoqKjw8HBMp4SEhOjo6JiYGLkT0c2sKj5WjUMBgwGIlLB2kPfS09O7devW1C4uLg7/Jicny52IbmZV8bFqHAoYDECkhLWDvGez2WJjY4ODg0UGwo3Lly/LnYhuZlXxsWocChgMQKSEtYMskZSU1LlzZxGAevToIW8mMrGq+Fg1DgUMBiBSwtpBlsjJyWnXrp34+IdffyYVVhUfq8ahgMEAREpYO8gqXbt2xXTi159JkVXFx6pxKGAwAJES1g6ySnp6elN+/ZmUWVV8rBqHAgYDECkpu9rx008/bdiwYYpdWlraZAp0qampmE4pKSnyBgpEeFHjpZ2VlfXjjz/KL341VhUfq8ahgMEARErKonbYbLapU6eiRO7cuVOjimTdunVyEwW03bt348U+bty4EydOyIWgNFYVH6vGoYDBAERKLK8dq1evfvPNN8+fPy9XSiIKUMXFxTNnzkxLS7t27ZpcEZyzqvhYNQ4FDAYgUmJt7UhPT1+zZo1cHYmoAjh+/HhycvLFixfluuCEVcXHqnEoYDAAkRILa8ecOXM2b94sF0UiqjAKCwuHDx9eUFAgVwdHrCo+Vo1DAYMBiJRYVTv27t07d+5cuRwSUQWDDJScnOzwZ2FSMJKKj2JsMrOqiFHAYAAiJZbUjl9++eX111+XCyERVUjHjh2bMmWKXCauX8/IyMjOztbvGosP2rFVv+sWS4oYBRIGIFJiSe3IzMzctWuXXAWJqKKaNWuW+ffCbDZbfHy8noH04rNz5060Y+uNru6wpIhRIGEAIiWW1I7U1FS5/hFRBVZcXDxhwgS5Uly//sQTT0RGRooMJIoP0k94ePjQoUPlrsosKWIUSBiASIn3teP8+fNz5syR6x8RVWxTp041/43E7du3BwcHx8XFIQOh+CD9NGvWLCQkJCcnR+qpzvsiRgGGAb2Gfj8AAGBmSURBVIiUeF87Fi5cePToUbn4EVHFtnv37k8++USuF9evx8fHR0ZG4l8UH9xA+unSpYvcyR3eFzEKMAxApMT72pGWliZXPiIi+4dAcr24fn3cuHEoO9HR0U3t2rVrl56eLndyh/dFjAIMAxAp8b52MABZ7vLly/v27Tt06BBuyNsCUUFBwZ49e4qKiqR2tOTk5OTl5UntAW/YsGFbt26VW8uVZ4fk8HfBbDZbaGioSD8QFRXl8defBe+LGAUYBiBS4n3tmDx5slz2blanTp1KlSpVqVKlSZMmQ4YMkTe748477/zggw/k1tKIA9AVFhbKPazm2XHC+fPnBw8eHBQUhOcFlws3BgwYIHfyb7javXr10u/iOtx9992G7TJMiXr16uGKVa5cOT09XTTm5+cPHDgQpx8SElK9evV27drpv2aI8d96660bjw9Ed9xxh2fzp+x4dkgOAxD07dtXpJ8WLVp48/VnwfsiRgGGAYiUeF87Sg1AtWvXnjZt2rfffjtu3Djkj02bNsk9lG3btu3kyZNyq12rVq2crYs4gLS0tMsl5M0WMR6Ai+N07dFHHw0PD//888/F3dzc3C1bttzcpXQuLoULLh7lYpMZrjae5dmzZ4u7WDXx8Ju73IDJgGS8f/9+3P76668xSUT7448/Hh0d/eWXX2r2z4f69evXqFGjM2fOaCXTyTBG6dw6fn/gWdooU54dkrMAtH37dkRbFJ+WLVt68/VnwfsiRgGGAYiUeF87VALQ9OnTNfufR8PSOGnSJNz+4osv2rdvX7NmzR49epw6dUr0vO+++7C1U6dOaMRdLKJYutAHsUDvkJGRYd40ZMiQqlWr3n777Vg1xTJpJC2ZWHTRbeXKlbh95cqVnj17Tp06VWwyH9Xu3bu7d+9et25dDC5+2x/vWdeuXSv6t23bdunSpZrpAPTjBNT3xMREHENUVNTbb78tGtFhxowZffr0adCgQf/+/W02Gxqzs7NxfRz+QW31QaQjMZ+Rw9N3cQGlTQ6PxAib2rRpg/5id8YAZH7sihUrcMqrVq0yjrBr1y40Lly4UG85f/48ngLxxzZdByDznFE5fmnimS+aJCkpCSt3w4YNn3nmGfGTO/N+H3jggdGjR4vbCHbYOxKew6fMPMeQNt58802pm2Y6TmfnYt6Fs84OJ7P5XLSSAOTwpPQ+Zs4C0HX7V6FRfLz8+rPgfRGjAMMAREq8rx2KAaiwsPC1117DwvbZZ5+hEWvkoEGDNm/ejIVkwoQJoieKLNaqlJQUvEHEuoL1IC0tbf/+/Rs2bNA7oAqbNx08eBAn8uqrr27dutX8GQ8O4Nlnn/3ADosNWgYMGNC4ceMTJ05g182aNSsoKBA9paNCe1hYWExMDNLMtm3bduzYgT5VqlRZsmSJ6F+/fn3xUYd0APrbZRxqeHg4lreNGzdi5dAXe3GmQ4cOnTlzJho//fRTNCL64HZubq4YXOfWINKROLzO5tN3cQGNm/Lz8x0eiRGu9vLly/H+HtdcMwQgh2dx6dIlRA1c0n/+85/FxcVihHnz5mHr8ePHjcN27tz5scce01wGIPPE0NSO3zjxNNM0MO5CGD58eFZWFgYJCgpCaHC4X8x2XASRP8aMGYMxNUdPmcM5Zu4mxpReIC7ORXqss87myezwXMSweCodnpQLLgKQ+Cq0l19/FrwvYhRgGIBIife1QyUARUZG4l/UZfEm/siRIyjBqLxbtmzBm9TevXuLniiyWAjFbSyNeAv7xBNPGBdCUYUdbsJCrn+QI8GuY2Nju9stWrQILRcvXkRLx44d8TYXK5noZj4qLBJokf7KkXnNELeNB6AHoNWrV1cqyXya/Q33M888Izq89NJLohFPAdYJ3MCqg87m7wK7NYhmOBLzGYkODk/fxQXUNzk7EiNc7fXr12M5R8/MzEw9ADl7LJIxAhk2IeIgk2kl1+HcuXOGUbWHH344MTFRcxmAHE4MTeH4jRPP2UUzwzMVHx8/cuRIh/tF1MY469atu3r1alRUlDhm81PmcI6Zu+nt+nG6OBfzY511Nk9mh+eilUxphyflgosAhBSFw/Py68+C90WMAgwDECnxvnaoBKDnnnsOdRZLi2gR702jS3Tq1Em067lBWL58OVrw8HfeeUfqYN7kYv12uGTOmjULxyB+lCCYj2rGjBloOXz4sOFxDtYMcdthABIj6Jnm6aefxjJv7ABIh2KVEqFBfCHGyK1BNMORmM9IdNAcnb6LC6hvcnYkRiIAafbIEhYWhqMSAcj1Y3HueGC/fv1we/HixeiJp1jfCu3atfvLX/6iOXk2deaJoSkcv/FKurhouvHjx+OBcXFxtWrVQgDSnOy3bdu2f/jDHz799NMaNWqcPXtWc/SUOZxj5m7mdpVz0R/rrLPDyezwXPRhzSflgosAdN2K4iNYNQ4FDAYgUuJ97VAJQOI7QLqVK1eiHItP+42kAKTZfxsIy95tt90m/taisYO0CYucs1/INy+ZFy9exPtXlPJq1arp3zg2H1VmZiZa9G/zCFgzxMdIp0+fxhpgDED6AejHuXTpUoyg/wZT69atxc9xHK5SBw8erFy5cnJysmjXuTWIZjgS8xkJDk/fxQXUNzk7EiM9AH3zzTfIB3feeacIQKU+dvDgwSEhIZr9M5iqVasmJSXpm5AP0PLhhx9qjp5NiTQxNIXjN15JZxdNh3yAwcWPh9q0aSMCkOZov9hp3bp1n3jiCf1zMvNT5nCOmbuZ21XORX+ss87OJrP5XPRhzSflAgMQlQsGIFLife3wIABhAcZS17t3byz5BQUF+mJjrN15eXlYFVCI8V4TZVq8RRYdHG5KTEx86qmn9K98GuEAUlJSjpe4dOnSwIED77333uLi4l69esXExOB4NEdHhRZcn3vuuWf79u1Ylbdt24ZuzZs3f/HFF7Ozszt27FjJ8OtOxgPQTwSH2qBBA+wO75U//vhjHK1od7hKwXPPPVe9enW8Xy8sLLx8+TJWWSz27g6iH4n5jEQHh6fv4gLqm5wdiZEegDT7JyW4RCIAOXzs2rVrFy5ceOHChVOnTrVs2fKBBx4QD/zTn/7UsGFDETLwlN1///2IGuKHYuZn8787djJnNIXjN15JZxdNh554jg4cOIB9NWrU6OWXX3a235MnTyK34Qp88sknosX8lDmcY+Zu5oernIv+WGedzZPZ2bnow5pPygUGICoXDECkxPvaUWoAqlOnjvnXhTZv3hwdHY23mNWqVevQoYNoNP75HFReHFtQUBAK97Bhw4wdHG5asGBB/fr1sTpiNRUtOunvAOEtO7phAcOmEydONGnSRP9bO+aj2rhxY2hoKB6lfyaBRFLTLjU1FXvUv71hPADjiaxcubJx48YYEyMMGTJEJAxjB6xS+s+esBwOHjy4qh2OIS4uTnwJ161BjEdiPqMVK1Y4PH0XF9C4yeGRGOFq61+eRYZDrNF/C8z8WBxzkF2tWrV69uy5d+9e0bOoqEhch7p166J/vXr1vvrqK31847Np/OzE4cTQFI5f+rtN5otmhEFwRtg1nh1cOqSEd9991+F+AUEqIiLi6tWr4q7Dp8w8xxx2k9o1R9fTxWMddjZPZmfX0DisdFIuMABRuWAAIiXe145SA5ALeAeP95pyqwHebuq/HCQxb8Kq6dlf35GYjyo3N9f4SQOWQId/TdHZAWCpOHr0qHEE19Bzz5490i9guzWIdCTmM3LI2fFrN29y60gk5sfiScTJmlOXZv8LQDt37szKyvrd736HLPLAAw8sW7ZM7mRinhiaR8fv+qIdL/mO8LFjx0QUcLjftm3bvvHGG1KjQ9IcU6R4LoLDzg4ns8Nz0amfFAMQlQsGIFLife1w9sURIgvt3r170KBBBw8elDf4sfXr11euXFn6gvOtzq2Tmuro/wLTeV98BKvGoYDBAERKvK8d+hcUiMhoz549a9askVtvcW6d1LRp0+R6YeB98RGsGocCBgMQKfG+dixevNj1X4Mlogroiy++2LBhg1wvDLwvPoJV41DAYAAiJd7XjqKiopkzZ8rFj4gqtilTply7dk2uFwbeFx/BqnEoYDAAkRJLakdKSorKr4QQUQVx/vx5118Aum5R8blu3TgUMBiASIkltSMnJ8f8f0IRUYU1adKkK1euyJXiZpYUn+vWjUMBgwGIlFhVO8aOHSv9501EVDF98sknq1evlmuEiVXFx6pxKGAwAJESq2rHd9999/rrr5v/J3YiqlA2b9784YcfygXCEauKj1XjUMBgACIlFtaOs2fPIgPxcyCiCmuunVwanLCq+Fg1DgUMBiBSYm3t+P7771NTU/l9IKKKJicnB+9/9u7dKxcF56wqPlaNQwGDAYiUlEXtQClMSUl5//33+feBiALb0aNH58yZM2bMmBUrVvzyyy9yLXDJquJj1TgUMBiASEnZ1Y6ioqIlS5akpaVNnjx5ElUMmE5yEwUuvLQ/+uijc+fOyS9+NVYVH6vGoYDBAERKWDvIQpxOpM6q2WLVOBQwGIBICWsHWYjTidRZNVusGocCBgMQKWHtIAtxOpE6q2aLVeNQwGAAIiWsHWQhTidSZ9VssWocChgMQKSEtYMsxOlE6qyaLVaNQwGDAYiUsHaQhTidSJ1Vs8WqcShgMACREtYOshCnE6mzarZYNQ4FDAYgUsLaQd4oKCgw3pWmk7SVyMiq4mPVOBQwGIBICWsHeSMjIyM7O1u/a5xOaMdW/S6RxKriY9U4FDAYgEgJawd5w2azJSQkfP755+KuPp2QfuLj47H1Rleim1lVfKwahwIGAxApYe0gLyUlJYWHh4sMJKYT0k/z5s379OkjdyUysKr4WDUOBQwGIFLC2kFeysnJCQkJiYiIQAbCdEL6SUhICA4OXrVqldyVyMCq4mPVOBQwGIBICWsHeS8xMTHCDtPpLruoqCi5E9HNrCo+Vo1DAYMBiJSwdpD30tPTu3Tp0tSuffv2+PfVV1+VOxHdzKriY9U4FDAYgEgJawd5z2azxcTEiAAEwcHBRUVFcieim1lVfKwahwIGAxApYe0gSyQlJYnPfqBbt27yZiITq4qPVeNQwGAAIiWsHWSJnJycNm3aiADErz+TCquKj1XjUMBgACIlrB1klcTEREwnfv2ZFFlVfKwahwIGAxApYe0gq6Snpzfl159JmVXFx6pxKGAwAJES1g6yytmzZzGdTp48KW8gcsSq4mPVOBQwGIBICWsHWULTtBEjRixcuPCf//wnbsubiUysKj5WjUMBgwGIlLB2kPdE+snPz8eN8+fPMwORCquKj1XjUMBgACIlrB3kJWP6EZiBSIVVxceqcShgMACREtYO8oY5/TADkSKrio9V41DAYAAiJawd5DFn6UdgBiLXrCo+Vo1DAYMBiJSwdpBnNJfpR2AGIhesKj5WjUMBgwGIlLB2kAc0hfQjuJuBbDZbRkZGQUGBvIECjlXFx6pxKGAwAJES1g5yl6acfgTFDLR79+6hQ4fGx8dnZ2fL2ygQWVV8rBqHAgYDEClh7SC3aG6mH8FFBrLZbOnp6V27dg0JCQkNDc3MzJR7UICyqvhYNQ4FDAYgUsLaQeo0j9KPYM5A4iOf6Ojo+++/PzIyEgGI6adCsar4WDUOBQwGIFLC2kGKNC/SjyAy0NmzZ8VHPm3btu3QoUNTO6afCsiq4mPVOBQwGIBICWsHKUpJSTl69Kgcatz00UcficRD1NSi4mPVOBQwGIBICWsHKUJ8GTZs2Pnz5+VQowyP/cc//nHmzJmZM2e2b98+KioqODhYLIQRERGff/65vEsiBSxiJGEAIiWsHaRO8yIDifRjs9n00Xbv3v3HP/4R0ScyMpIZiDzGIkYSBiBSwtpBbtE8ykDm9KNDo/hAKDg4ODQ0lBmI3MUiRhIGIFLC2kHu0tzMQC7Sj5H4QCg2NpZ/B4jcwiJGEgYgUsLaQR7QlDOQYvrR8S9Bk7tYxEjCAERKWDvIM5pCBnI3/RB5gEWMJAxApIS1gzymucxATD/kGyxiJGEAIiWsHeQNzUkGYvohn2ERIwkDEClh7SAvmTMQ0w/5EosYSRiASAlrB3nPmIGYfsjHWMRIwgBESlg7yBIiAx05coTph3yMRYwkDECkhLWDrIIMhOnE9EM+xiJGEgYgUsLaQRbidCLf46wjCQMQKWHtIAtxOpHvcdaRhAGIlLB2kIU4ncj3OOtIwgBESlg7yEKcTuR7nHUkYQAiJawdZCFOJ/I9zjqSMACREtYOshCnE/keZx1JGIBICWsHWYjTiXyPs44kDECkhLWDLMTpRL7HWUcSBiBSwtpBFuJ0It/jrCMJAxApYe0gCzUlKg/yRKSKjQGIlLB2EBFRIGEAIiUMQEREFEgYgEgJAxAREQUSBiBSwgBERESBhAGIlDAAERFRIGEAIiUMQEREFEgYgEgJAxAREQUSBiBSwgBERESBhAGIlDAAERFRIGEAIiUMQEREFEgYgEgJAxAREQUSBiBS8t//SofIIvIMIyLyLQYgIvI1BiAiKncMQETkawxARFTuGICIyNcYgIio3DEAEZGvMQARUbljACIiX2MAIqJyxwBERL7GAERE5Y4BiIh8jQGIiModAxARlbmCggLjXSkASVuJiHyAAYiIylxGRkZ2drZ+1xiA0I6t+l0iIt9gACKiMmez2RISEj7//HNxVw9ASD/x8fHYeqMrEZFPMAARkS8kJSWFh4eLDCQCENJP8+bN+/TpI3clIip7DEBE5As5OTkhISERERHIQAhASD8JCQnBwcGrVq2SuxIRlT0GICLykcTExAg7BKC77KKiouROREQ+wQBERD6Snp7epUsX+38G37R9+/b499VXX5U7ERH5BAMQEfmIzWaLiYkRAQiCg4OLiorkTkREPsEARES+k5SUJD77gW7dusmbiYh8hQGIiHwnJyenTZs2IgDx689EVI4YgIjIpxITE5F++PVnIipfDEBE5FPp6elN+fVnIipvDEBEgeDq1aupqalpt4KxY8ciAKWkpMgb/BUurKZp8hUnolscAxDRLQ/p5x//+Mf58+e1W8S6devkJj+GC5ucnKwxAxEFFgYgIt/p3r17z5499buPPPLIsGHDDNs9cculn1uRSgb63//930qVKr3++ut6S6NGjY4cOWLoQkR+hAGIyHcOHDhQuXLlrKws3F6xYkVERMQPP/wgd3IH04/PlJqBRADC8/vll1+KloYNGx4+fPjmXkTkLxiAiHzqz3/+c3R0dFFRUUhIyJo1a0Tj4sWLw8PDY2Nj09PTRcsbb7yBeIQVdPny5TcefDOmHx9znYFEAOratWvr1q3/7//+77ohAK1cubJFixa1atXq0qXLV199JT+SiMoDAxCRTxUWFtavXz8yMvLxxx8XLdeuXatXr152dvbJkydr1Khx5cqVEydOYCk9ePDgjz/+6Gy5ZfopFy4ykAhAR44cwfObmpp6vSQA/fTTT7gxe/Zsm802ZMiQhx9+WH4kEZUHBiAiX5s0aVJQUNC5c+fE3aysrOrVq//Rrm7dupmZmVgyW7RoERMTs2TJkpsf+l9MP+XIWQYSAQjt8+bNw/P71VdfiQC0du3aBg0a/Oc//0GfQ4cOVa1atbi4WHosEfkeAxCRr61atQoron73ww8/rF279rp169bb5eXlXbf/t1njx4+vV6/e6NGjbzzSjumn3DnMQHoAwu3f/e539957L54+BKBly5Y1btxY9Pn2228rV66cn59vfCARlQsGICJfkwLQsWPHgoKC5syZ8+uvv/78888//PADIs6ZM2ewCemnS5cuNx5Zxunnr3/9Kw7G2ILDGDdu3PPPP79p0ybzVs9cuHBh165dyHnyBq95f4QHDx4cMWIEbuA6f/3117m5uXKPEuYMZAxAZ8+eRfrBXQSgH3/8EQH33//+93/+859Ro0Y98MAD+kOIqBwxABH5mhSAICMjAy1NmjS54447li1bdujQoYYNG0ZERMTExCB56N1cpB+bzYYVd8WKFbh95cqVOnXqYK0Vm7p37z5v3rybejuCwbFgZ2dnGxv/9re/4eELFizYsWOHeau7ECmw/NeqVatFixZVq1bFOV68eFHu5CmHx6+7aie3mnzyySc4KtyIj4+PjY0NCQlp27ats4OUMpAIQN999524m56eLr4ShNvvvvtujRo1GjVqhAG3b9+uP6FEVI4YgIj8wq+//pqfny++KSIUFRUZtrtKP8LDDz+clJSEG9u2bcPS27NnT9zG4l2zZs3Tp0/LvU0cBoj77rvv7bffdrbVLYhlrVq1QgASp1BQULB+/Xo0yv085foI69at++9//1tuNdEDkAg9ly9fDg4OFlfAIfPnQM78/PPPOGW5lYjKDwMQ0S2g1PQDkydPRsLAjYkTJzZr1qxevXo2m23p0qX33HMPGjMyMmJiYhCGOnbsKFICxkS3kSNHhoSEzJ8/Xw8QWKcRniZNmoQ4FRQU1KhRowcffNAYL8xDYReffvopbrz33nuxsbGXLl3C7f79+y9evFg/vFWrVmGElStX6i06aUBxYDiA6OhoHNuKFSsGDhyIBNO7d28kEq3kyFNTU/HvXXfdhYMXjfoRzp07NzQ0FA+fMWMG7uLh2NSkSZOnn37avBXmzJmDHSUkJAwaNEgEIOGrr76qUaPG6tWr9RYz9QxERH6FAYg81JR868iRI/LaezOs/bfddtupU6f69u37zjvv4DZa/vSnP40YMQKJpEGDBljvz549O3jw4F69emkliaFDhw579uxB6BF3d+7c+agdwlNxcTES1fTp04uKivR44XCofv36vfLKK5r9x23otm7dugsXLtSuXfvMmTP64SGfIeIUFhbqLYJ5QLGv9u3bHzhwYMCAAZUrVx47duzXX39dq1attWvXaiVHjpS2d+/eCRMmIKPox48jxNGKz3sOHTqETXl5eTgR3EBEw77MW9FYp06dDz/88Pjx48YAdOXKlbZt244ePdp4tA7hqZGfLSpjcj0ich8DEHmINciXsBiX+gkQEsCdd945f/7822+/HWt5fHw8sktERMRnn322bNmy+vXrI9No9pxUtWrV06dPi8SwY8cO/eG4m5iY2K5dO+QJ0di6dev33ntP34rHOhxq3rx5sbGx586dw6779+//97//fc6cOT169PjvkdlNnDgRCcYcgMwDIsOJKIaWKVOmdOzYUfSMiYlZsGCBdvOHPSLcrFixQm9cvHhx9erV+9sh2SxatAjdkL3Ej8DMW9esWYMDuGr/hpD+IzBYsmRJnz59xG0X8KTgqcHD5eeMygyLD1mCAYg8xBrkYyoZ6Mknn+zcuTOyiGb/uU/btm2xnCNbIDcgG4k+e/furVy5cm5urjFGaCWponfv3ggx6CMazQHI4VB5eXlVqlQZNWrU008/nZGRgf327dv33XffFd2E5cuXYwTjD8UE84BHjx7VDwwBCGcktjoMQJcuXUIA2rRpk974zjvvIGlhd5l2hw8f1gwByLx1xowZISEhYhfGAPTHP/4Rexe3nWH6KRcsPmQJBiDyEGuQ75WagbCWIwQg+uD2rFmzcPupp57S7N84xqq/Zs0ahKHk5OTExETN9K1h/e6gQYNCQ0NFbjAHIIdDAWJKtWrVEFDOnTsXFBRk/uZ1cXFxXFzcfffdd/z4cdw9ceJEeno64ot5QOOBuQhAkydPvnz58qJFi5DY8Fj9Ufv378cBIH6hBR3E15kxXefOnYsb5q04UzwQ0efs2bOPPvqoHoC++eabU6dOidsOMf2UFxYfsgQDEHmINahcuM5ABw8exFqOYKHfRgwSm6ZOnVqjRg2s7sHBwevXr9ecByCEiSeffBJp48yZMwhA77//vtTZPBSkpKRUr179woULuN2pU6cHH3xQtBsdOHCgS5cuVatWDQsLq1u37kMPPSR+1iYNKAUgPEQ8XApAv//978PDw7FT8V1m46Nmz55dv379xo0bIxuJh+Dw6tSpg2zncOuwYcNwPOgwYMAAPQD16NFj7Nix4rYZ0085YvEhSzAAkYdYg8qL6wzkwuXLl8WnL97zZigc+b59+6RfgHdrQD3r5OfnFxUVyZvt0Cc3N1d8tUhAONO/22TeevHiRfHLayqYfsoXiw9ZggGIPMQaVI48zkCBQfrsyseYfsodiw9ZggGIPMQaVL4qeAY6fPhwcXGx3Fr2mH78AYsPWYIBiDzEGlTuKngG8j2mHz/B4kOWYAAiD7EG+QNmIJ9h+vEfLD5kCQYgUiX9T0ZSDeL/c1RemIF8gOmnfLH4UFlgACJVGRkZ2dnZ+l1jDUI7tup3yceYgcoU00+5Y/GhssAARKpsNltCQoJehvQatH37drRj642u5HPIQGPGjJlEZQAXlumnfDkrPmiJj49n8SHPMACRG3r37t28eXNRhkQN2rJlS0RERFJSktyViMg6r7zySnh4uLH44HZkZOQTTzwhdyVSwwBEbkhPTw8ODr7rrrtQelCDkH7CwsJCQkJycnLkrkRE1kGRQalB4hHFR3z2g3KEKiR3JVLDAERu+PXXX/Em7N57723ZsiVqEG6jBnXr1k3uR0Rktc6dOyPxNG/eHMUnISEhOjo6Li5O7kSkjAGI3DNgwABUn+7duze169mzZ3p6utyJiMhqKDVt2rQRlQfRB/+mpKTInYiUMQCRe06cOCEKUFP7J0AtWrTgNxCJyAdQaqKiovT6ExoayuJD3mAAIrfde++9ogA99NBD/PozEfnMK6+8Eh0dLerPI488Im8mcgcDELktPT1dFCAkIX79mYh8BgXnrrvuQvEJCQnh15/JSwxA5DbxVWjUIH79mYh8rHPnzk3t3wGSNxC5iQGIPCG+Cs2vPxORj4lPoPn1Z/IeA5ArP/3004YNG6baTZkyJY1KjBgxAjVo7Nix8oaKCtNDzBNMGEwbeSYR3YJ+/PHHrKwsf6t+KDv+Vnym2PHlf8thAHLMZrNhNk+ePPmLL76Q/2cgslu3bp3cRJqGCYNpg8nD30+hW9fJkyfHjRs3bdq03bt3y1PcD/ht8REvf4QhvvxvCQxADuBNz8SJEy9cuCDPbiI1mDyYQphI8twi8m/Xrl1LS0ubNWtWcXGxPK1Jzfnz5998883Vq1fLF5f8DAOQLD09fc2aNfKMJnIfJhK/JkW3kIsXLyYnJx8/flyeyuQ+vP/58MMP5UtM/oQB6CZz5szZsmWLPJGJPIXphEklzzMi/4P0M3z48MLCQnkSk6c+++wzvgXyZwxAN+zbt2/u3LnyFCbyDiYVppY824j8ybVr15KTk5l+LIf3P3v27JEvN/kHBqD/+uWXX15//XV58hJZAVMLE0yec0R+Y8qUKceOHZMnLllhxIgRfPn7Jwag/8rMzNy1a5c8c4msgKmFCSbPOSL/cPz48ZkzZ8qzliyCl/+yZcvki05+gAHov1JTU+VpS2QdTDB5zhH5h/Hjx/N3vsrUmDFj5ItOfoAB6Dfnz5+fM2eOPGeJrIMJhmkmzzyi8vbjjz9OmTJFnq9kKbz88/Ly5EtP5Y0B6DcLFy48evSoPGeJrIMJhmkmzzyi8rZmzRr//GuHgQQv//nz58uXnsobA9Bv0tLS5AlLZDVMM3nmEZU3fvzjG5MmTZIvPZU3BqDflGkAGjt27Nq1a+VWT82ePfuZZ565ePGivMFXyuIALl++vG/fvkOHDuGGsb2oqCgnJycvL8/YeOuaPHmyPPOIylu5BCC9Kg4bNmzr1q3yZp/wcXmZOHGifOmpvDEA/QYrkzxbDYqLiytVqjRv3jy9JSIiYsGCBYYuriQkJODVLrd66sqVK/3793/yySflDb5i7QGcP39+8ODBQUFBTZs2bdKkCW4MGDAA7fn5+QMHDsTdkJCQ6tWrt2vXzvg7enXq1KlateqJEyf0lqSkJDxHK1asEFtxu0qVKhhwyJAh+kPeeustvb/eTVezZk3jXQHDmnuKv5WiN9arV69NmzZjxoyR0psZAxD5IZW3f9LLB6/Zjh07Gra7Ta+Kd9xxxwcffCBvdsThyxAeeughvHhRSYyda9eu/a9//Us8Snrha87LS8+ePR9++GFjz9deew3ja472Llpuu+02vPzffPNN46McYgDyQwxAv1EJQMa/kRgeHj5//nxDF1dKDUCtWrUyv0RduHr16ubNm13/1kapY5bawQUXB+DusI8++igu5ueffy7u5ubmir/E/fjjj0dHR3/55Ze4XVBQ0K9fv9tvv/3MmTOiG6obnpGpU6eKu8hkyE+VSgIQtk6bNu3bb78dN24cGjdt2qQ3iv76ICj9l0tgEHEDNXHkyJHits1mM/c0PhzH9vXXX8+YMaNBgwZ9+/Y1jm/GAER+SCUASS+fQYMGdejQwbDdbR4EIIcvw2+++aZy5cp4mb/zzjvGzrVq1RIByPzC15yXl9mzZxvfWaHQhYaGvv/++5qjvet1ZtiwYYhBOTk5hj04wADkhxiAfuNNALrvvvuwEnft2hVvCHr16nXq1CnN/n8Ct23bFi1Y4LGg6gEoKSmpZcuWDRs2fOaZZ4qKitAyZMgQvOTw8sMLEq9APLB9+/Z4Q9OjRw8xlAq8bpE88CjsTjONWepO0dKiRQv953Q48qVLl5qHLZV5WBSFxMREVIqoqKi3335b6p+dnS1dWAHvxtC+cOFCvQVv7+rWrTtixAhxFwPigPUSvGrVqri4ONQgPQBNnz4dN44dO4ZxJk2aJBrNAchcGQHP1+jRo40tDntKjai/2NeOHTsMXWQMQOSHvAlA5tqi2Usi3hL06dMH7wr69+8v3kVoTqqiMQC5rn4OX4aoCdhd79697733XmO7iwDkorwgDOHwRMWATz/9tEaNGuKzJfM4ep3B+zcMmJmZadxqxgDkhxiAfuNNAMILGK9YvJgRg+rXry/WztatW/fs2RPLIV5L1apV0wPQ8OHDs7KyNm7cGBQUJELGwYMHmzZt+uqrr27duhVvLNq0aYPisnnzZpSVCRMmlOzQFdQdZA5Usf3792/YsEEzjVnqTtFSpUqVJUuWiAFxFog+5mFLJQ2LEXChunfvjl3jsuAaIqkY++OSojE3N9fYCPPmzUO79D8ydu7cWc9hKD2vv/46+nz11Ve4++yzz44aNUoKQIWFha+99hr6fPbZZ6LRXL/wwA/sjL8F4zAAmXtKA+KNIPY1a9YsvcWMAYj8kGIA+v3vfz+lRMeOHUUAMtcWzV4S8UZo6NChM2fOxIsCMUK0O6yKxgDkuvrhGF5++eVP7fByQwuiVVhYGMLWokWLsCPjq9hFAHJdXv7whz/cfffdonHAgAE4a3HbXATQ8tZbb23btu3hhx9u1KgRwlPJYI4xAPkhBqDfeBmA9Ifj7U5iYuKJEyewGOvf7DP/CAzJID4+fuTIkeJus2bNxE9zjhw5gh0hiGzZsgVD4W2N8VHOXLp0Ce+0nnjiCeNLWh9T52yngjkAORy2VMZhV69erecPzf4hE94m3uhq/60odNDfOErt586dMzaiynTp0kXcRulZt25dkyZNkFTy8/NR7JC9jAEoMjIS/6IK6/+9ibkOoiU2Nra7HQqo3u4wAJl7SgOKT5vMn3IZMQCRH1IMQHfdddcjJVAAjT8Ck2oLSuJLL70kbuMdkfiStbOqqAegUqsfjgE5o7ndu+++q9krjPj2D4oV3q3hrZfe2UUAcl1ekK6wNTs7GydVr169jz/+WHQwFwG04IzQ+c477/z666+NoznEAOSHGIB+4zoAXblyBbNc/CRYCA0N/eijj8Rt4zsYvKTxOsQ7DLww9HXdGIDGjx+PtxpxcXF4fZqziHjDFF2iU6dOokOpli9fjsPAC1L/QbgxiLjeqWAOQJqjYUtlHBbvzIz55umnn8Zh3OiqaRkZGeiwf/9+YyMsXrwY7di7sbFdu3b9+vUTt3FI69ev/8tf/oKyO2vWLPHptzEAPffcczgdlFT94eY6aG4RHAYgc0+pEVcMx7xmzZobPUwYgMgPKQYghz8Cc1hbjCURb0VEAHJWFfXOpVY/88vw8ccfx8P/nx1eto0bN9a/G+QiALkuL1evXo2IiEhKSkLKwTtARCvRwTxObfvn0NgLzuuTTz4xbnKIAcgPMQD9xnUA0uyv0sGDB4vbNpsNbzv0z3WNr/YXXnjh0UcfFe8hDh48KBpbtGghXup4yeGlIn6c1KZNG2MWETVo5cqVlUr7Hokz+fn5CAQYX/xFR33MUncqIACJtzWnT5+uUaOGCECaadhSGYddunQpTkf/7a3WrVs/9thjN7raf2RWuXLl5ORkYyMcPny4atWq4jewhG+++QZHqI8sAtDGjRsxflhYmKiw5u8AGTmsX+ZYo3kagJ5//nm8X3T9K7UMQOSHPA5AzmqLwwDkrCrqnUutftIxnDp1qlq1aqhOo+z++te/4uEIN2KriwBUankZPnw4stTvfve7gQMH6n3M4+h1pmfPnqhC0q+hmTEA+SEGoN+UGoD69u0bHh6+efPmgoICvG4RgBAUxCa8gPv06XPu3LmdO3eGhobiJYE3DXj54cWzd+/el19+GS9L8VLH67x69eoHDhzIyMho1KgRNokREhMTn3rqKeSqixcvYvXt3bs3ygR25KIWGGHRxYBIKigxeBnj5a0Zxix1p+Ju8+bNX3zxxezs7I4dO+KAEYAcDlsq47AYAW+hcB3Onj378ccfYxC9LOqee+45HN6MGTMKCwvx7g3FVFQZVNiGDRuK2nr8+PH7778fV0b/KbsIQOJ3NDCs+CFdqQEoJSXleAk8R+YW0dNhADL31BvxNCHD4TBKnUUMQOSHPA5AzmqLwwDkrCrqnUutftIxIE+gJqMI6C0tW7Z85JFHxG1jADK/eF2XF5xRJTv9Xa7DcfQ6g/yE3f3hD3/QOzvEAOSHGIB+U+rStX///oSEBLwkqtsZ11e8gFELEImwAHfr1k38aBkvlcp2/fr1i4uLEy/1CxcutGrVCoOgZcCAAfpPnRYsWFC/fn28nNABGSs6OhpD4c2N4i+aIpo0bdo0KCgIaWPYsGGiUR8zNze31J3iLipLTbvU1FS0z5kzx+GwpZKGxbs6vJfC6eAt15AhQ/S8pUPVGzx4cFU7nDIOUnz5saioCIEMjXXr1sXDcSn0946a/W9yiOKVlZWl/30mPQBhq/m7ONKf8UDJllpwqKInQtWYMWNcPFb01BtxfTp16qR/V8AFBiDyQyoByOHfAXJW0O68805jANJ/Ju6wKho7u65+0jEg7ui/FiogYaBinDx5UjMEIPMLXyutvABe0YhExnRlLgLGOoOXdiXTL3lIGID8EAPQb0oNQJr9Z8PIBNnZ2dK3/cU7mMLCQvHC02FpP3v2rLFFOF7yneJjx47pLzC8II0PR5/8/Hz9rgo8XPrDPMYxVXaKcqb/bTGdedhSScNid0ePHtU/X3EIW/fs2WP+xVccz65du1z/XOkWwgBEfkglALngsLY446wqGnlQ/Tzj4/LCAOSHGIB+400JMH7eS+RCGv8vMPI/5fJfYVRA/L/A/BAD0G+8KQGZmZnG3zYicgbTTJ55ROVN+nsZVEYYgPwQA9BvFi9erPKHHIg8hgmGaSbPPKLytmHDhp07d8rzlSyFl39GRoZ86am8MQD9pqioaObMmfKcJbIOJhimmTzziMrbtWvXvPkOAKl4//33CwsL5UtP5Y0B6L9SUlJK/QYfkWcwtTDB5DlH5B+mTJki/WVkshBe/qNGjZIvOvkBBqD/ysnJcf1LjEQeW7lyJSaYPOeI/MOVK1cmTpwoz1qySGZmZnZ2tnzRyQ8wAN0wduzYUn9Fk8hdmFSYWvJsI/InePvn+j9yIc/g5T9mzBj5cpN/YAC64bvvvhsxYoT+v8kQeQ/TCZMKU0uebUR+ZtasWfp/XUyWwMt/+PDhfPn7LQagmyCtY7ni50BkCX06yfOMyC/Nnj17zpw58jwmj+CFj/STl5cnX2XyGwxAsu+//z4lJSUzM1OezkTuwBTCRMJ0kmcYkR/bs2cPUntOTo48ockdePmPGTOGL38/xwDk2K5duzB933vvPf59IHILJgymDSYPppA8q4huBb/88suyZctGjx49Z86co0ePylOcnMPL/91338Wl47eebwkMQK4UFRUtXrx48uTJk8ikadOmclOFh6mCCcO/90OBIS8vb8GCBfIs9wP+WXzw8v/444/5935uIQxA5CHUILmJiKjssfiQJRiAyEOsQURULlh8yBIMQOQh1iAiKhcsPmQJBiDyEGsQEZULFh+yBAMQeYg1iIjKBYsPWYIBiDzEGkRE5YLFhyzBAEQeYg0ionLB4kOWYAAiVQUFBca7Ug2SthIRWYXFh8oCAxCpysjIMP55U2MNQju26neJiCzE4kNlgQGIVNlstoSEBL0M6TVo586daMfWG12JiKzjrPighcWHPMYARG7o06dPVFSUKEOiBn3++ecRERFJSUlyVyIi67z88ssoNcbig9vNmzd/8skn5a5EahiAyA1vv/12cHBwy5YtUXpQg0T6CQkJycnJkbsSEVkHRQbFJzo6WhQf8dkPWjZu3Ch3JVLDAERu+Pnnn8PCwrp169aqVSvUoGbNmsXExHTt2lXuR0RktY4dO6LsIAPh37vsYmNj5U5EyhiAyD3PPvssqs/jjz/e1K579+7p6elyJyIiq6HUIPSIytO+fXv8O2LECLkTkTIGIHLPN998IwoQhISE4B0Yv4FIRD6AUtO8eXNj/bly5YrciUgZAxC5rU2bNqIA3X///fz6MxH5zMsvv9ysWTNRf3r16iVvJnIHAxC57e233xYFqH379vz6MxH5DApOfHw8ig+//kzeYwAit4mvQqMG8evPRORj4qvQ/PozeY8BiDwhvgrNrz8TkY+h7DTl15/JCp4HoJ9++mnDhg3Tpk2bOnXqFKpgkpOTUYPGjRsnb6CAhhc7XvJr1qz58ccf5YpQllhtSIeyg+IzduxYeQNVMN6XI08CkM1mw44nT578xRdfaFRRrVu3Tm6iimHv3r1vvfXWhAkTTp48KVcHq7HakBmLD+l2796NGDR+/HgPypHbAWj16tVvvvnm+fPn5aMgooqkuLg4PT0d6eTatWtymbAIqw0RqUA5mjVr1pQpU9wqR+4FoA8//DArK0veMxFVVCdOnBg+fHhBQYFcLLzGakNEbjl+/HhycrJ6OXIjAOHd3meffSbvkIgqtsLCwjfeeEO96KhgtSEiD6Acqb8lUw1Ae/bsmTNnjrwrIiJ70RkxYoRbHz67wGpDRB5DOUpOTlYpR0oB6Oeff0akkndCRFTi+PHj06ZNk2uH+1htiMhLx44dmzJlilxcTJQC0NKlS3ft2iXvgYjIYPbs2SdOnJDLh5tYbYjIezNnzsS7Mrm+3Kz0APTrr7+OGTNGHpuI6GaXL1+eOHGiXEHcwWpDRJYoLi4eP368XGJuVnoAOnPmDH8eT0Qq3nrrLY//KNl1Vhsiss6UKVNcl6PSA9D8+fOPHj0qD0xEZPLll19+8sknchFRxmpDRFbZvXv3mjVr5CpjUHoAmjhxojwq/f/2zjw6qiL744gCoii4QUKIQsI6YYksAoIsCodxFIyo4DKiMBzFIx6XIxBQVglbEBFHgQDCICqjbILIoLJJiCFkBFyQXUCEIOsDOYMzHPx9T9cvZaWqXvfrTi/BfD9/5LyuV69e3Vv33vd93a87hBAbZ86cKc6j0Kw2hJAw4v9R6MACKCMjQx+yJFFQUDBlypTu3bsPHz5c3+eNgQMHrlmzRm+92Dh+/Hh+fv7WrVuxoe/7g4Klz8vL+/nnn7V2tOTm5u7fv19rjznFj9VgGTly5LJly/TWSHL69OniCKASXm388McoI5GgpJWm6KehR0psCFkrbYktsxrjx4/Xq4xCGARQpUqVypQpc+mll1arVq1fv376bs/ccMMNb731lt4aCIRyQkLCtGnT3nzzTSekQa6//nrzEGGU5MiRI1qHSBDC5MHBgwf79OlTrly5uLg4LAE2evXqpXcq8cDhnTt3li/hh0aNGin7dRBpV199NTxWtmzZrKws0Xjo0KHHHnsMHqhevXqFChVuvvlm+X0ijP/qq6/+fnws0GI1CjRo0AAaSGy7RZdbe8hEVACJxLzkkkuaNGkSsLMfwm61tYxEApamYhL9NPRIdEKo+JXWT5l1SkalVYm4ALryyitR8r7//vtRo0YhIT/99FO9hzfWrl27Z88evbWQhg0bWt2alpb28MMPy5f+B7FiDTsYBccdL0TbG0ZUu0KYPOjatWtiYuL69evFyx07dqxevbpol8C4uTcgbge6tbsBhyN4ZsyYIV5iRTBC0S6/gxiD4P7qq6+w/c033yD2RDuCITk5+d///rfju2vp2bPntddeu2/fPqcwSpUxAhDs/L2gxWoUUAWQjC7NtNCizg8RFUCy2uB2GTII96B6j0L8r2DYrbaWEYn/yVhxOyQ6pSksQVIyS1P009Aj/kMoXBS/0vops07JqLQq48aN06uMQngE0Guvveb4fnoInh07diy2N2zY0LRp04oVK95xxx179+5FS4sWLbCrVatWaHF8PxkCy9EBSSLGQYd58+aJbW0vROhll1123XXXwe/S0Y7vPUP0ueqqq9C+adMmdRBsQOnfddddVapUeeSRR06ePCkO6d+/f0pKyjXXXPPAAw+I9/SsYWeuIkIBZ1m4cCG2T5w40alTp8zMTMdmqeN79qpDhw6YGOY8YsQItNStW1d+GJGamjp//nzHsEv1ACp727ZtMY2kpKTJkyeLRtOonJwc+HzWrFmig4bHQUz3mkZZzTcPFJjt1pmoYBfu6XGIOJ2aluaxH374IaxetGiROgLuQtA4d+5c2YIbUCzB4MGDHduCqgSMN3MOjhHSptNUtFj1MqCKGbeOS1BhGtjGfRhswS2aFEAiukzTAqbMF198gQExVQyIuaGPaHcj0gJIVBtcVrHcCxYsEO2a861mqr6VVpurhsydNGmSGHbz5s21a9fGtd/spiHLiLlS2mSsQwWMQIkZydbcdGymOd5Kk3l26S5r3IoO3kuT90HMmWhGudluHijQ0lCLCj8Tw8vOnTtXrly5T58+W7duxSEYfMiQIbKPxPSwGRLWbgghxL+WgNZFVLHO2U8lKWal9V9mHVt8qgSMc3MOjmFOQJ+oREkAHTly5LnnnoNrxH/wgYt79+69atUqLPzo0aMd3+rC1OHDh69btw5BAJtxHwNpuWLFCjGOrCDm3i1btsTFxT3zzDNr1qxRb3q+/fbb1q1bI2LQDimqDiJO9/TTT0+dOhWzWr58uThk0KBBS5YsWblyZbly5cQFw00A9ejR4y0fiFTR2KtXr6pVq+7evRsW3XTTTeKMpqVor1GjBuomSgbunHD9QCN09Pvvvy/GQRYJAa7ZpXoAd05ID8xz6NChMgRNo1BfsIFbKzGyivdBTPeaRjk2880DBVq720xU4PAPPvgAF2y43VHS0nrs0aNHkQBw6Ysvvnjs2DExwttvv429u3btUodFeHTr1s3xm5YB4806B6doSDsuTpOosXrgwAEvA6qYceu4BFXjxo1xGUDUoWSUL19eCiARXeaSBUwZLET79u0RyUjzChUqyAHdiLQAwv0iJnPnnXfivlPkoGM432qm6ltptblqqGPwoRh2wIABbdq0sXbTkAOaK6VNxhwqYASqJ4pCaTLPLqxzSwTRwWNpCmoQcyamUVbbzQMF2iVDjQr/E0MqoRHqCu3VqlXDYqWnp2OJf/zxRzm44+JhMySs3UzzHZu9Km5z9lNJillp/ZdZpwRUWo1oCKCaNWviL6YoZOC2bdswdSTV6tWroWS7dOni+GyAE8UhcCtE7r333qv6UVYQ615EtpD2GqiDjz/+uHypVvMnnnhCNMLFEyZMkH0c30rUr1//pZdeUg9RgTl16tTp4OOdd94RjYcPH0Zjy5YtoT3F/6m2Woo1Q6P2cyZmlRHbql1yJosXLy5TKCUd3y0abh1EB80oBBN6/mw8COwEM4hTdBpWoxyb+dqBKmq720xU4PBPPvkE5aCM77ZepqXbsRDcKHzYhdxD7XN8n/XipVaPEB64n3D8pmXAeHObgxrSbk5TkbHqZUAratw6tqCCKy655JI1hY9Sqh+ByejSlsx/yuCCgami1oh2dUA3Ii2AYCCmdMMNN3zzzTei0ep800zVt8Jq64G4v0RjXl7eqVOnUI7ffPNNazcNrYxoKyUnYx0qYASqRKc0md6DdW5xKzp4LE1BDeJ4KE2m7QI3B6qXDDUq/E8McsfxrRT6iDcIRWpkZ2eLPgKrhwVqSFi7meZb7VVxm7OfSlLMSuu/zDolo9KqREMAPfjgg5gQZiZahIBNLqRVq1aOUSAgQtGCY19//XXRonYw93qJZqdoNZejQZ9JAfTKK69gIevVq3fFFVf4F0DWVZw2bRpMk+8rWi2dMmUKGr/77jv1QGuVcVwEkBhB1o77778fc1Y7OIVGiTgWn9FqeB/EKToNq1ECzXzHfV3UdreZqIi0dHwLinsjzEqkpf9jYT4O7NmzJ7bfe+899ETkyL3g5ptvfvLJJx33BRX4jze3Oaie9OM0iYxVLwNqmHHr2IIK92fQB3LkYAWQGRjTp09Xp1oSBBDusnAFgplLly4VjVbnu5mpvrQeCHChGjBgwMcff4xr6k8//eTWTUWOb10pORm3ofxHoIpbJIe3NFm95xa3soPY9l+aghrE8VaazLrkGCZINAEkz+hlYidOnChT+MHr999/X8YQQFYPmyFh7Waa72avxG3OfipJMSut/zLruMenwH+cu81BNSegTzSiIYDEp/KShQsXYoribT2JuSSHDh2C11DIxE+faR20vXATtKfcKwlKAMH7GFC8+dakSZNgBRBuNZKSklJTU8uXLy+e7LNaivRAo/jIXIIqI27Xfvjhh8svv1wVQNIuOZP58+djBPlofePGjcUbjKZRW7ZsKVu2LIq1aFTxPohTdBpWoxyb+Y77uqjtbjNRkWmJ+yqUCdzfi7QMeGyfPn2qV6/u+O4MLrvssv79+8tdqC9owSXccVlQFT/x5jYH1ZNuTlORseplQBVr3Dq2oFq+fDlGRlSIDriFsgogdcn8p0xubi4G3LBhg+NzUXx8fMwFkKg2nTp1Qvk+ePCg4+J8NzPVl9YDwbBhw+CBhx56CLd2jsv4GmJAt5WSk/EzlJ8IVLFGspmb1hN5L01W77nFrewgtv2XpqAGcTyUJtN2gZsD3QSQl4kFFECmh60hYXZzbOZb7VVxm7NbJXGKXWn9l1nHJT5V/MS52xyCrbQqMRBAiEh4qkuXLsiBgoIC+QGntGH//v1YezgC9RrpJ4Sw7GDd27Zt2/vuu08+mCkJSgChpUKFCps3b8b411577VNPPaX1lMCo4cOH7yrk6NGjaHzssceaN29+7Nixzp07165d+7AP01I0xsXFNWvWbN26dQiXtWvXorFWrVp9+/bNyclp2bJlGeUhfNUu1QNVqlTB6Q4cOPDuu+/CCX6MQo2GUdDOR44cOX78ODJNxF9Qg6jTsBrl2MzXDlRR291moiLT0vHdMMFFIi2txy5btmzu3Lm4Nd+7d29KSkr79u3FgX/729+uueYaUWuwam3atEHFEe/WWhdUEDDerHNwinrSzWkqMla9DKhijVvHFlSwC0UNI2/atAnd0GgKIG3J/KcMSEhIaNSo0ahRo+BMXGOwIdrdiI4AEuX70UcfdVyc72am+tJ6IPj666/L+BBPB7t1UxEDuq2UnIx1qIARqGKNZDM3rSfyXpqs3nOLW9lBbPsvTcEOErA0mbaLEdwc6CaAvEwsoAAyPWwNCbObehan0HyrvSpuc3arJE44Kq2fMivGN+NTEDDOrXNwgq+0KhEXQJUqVTK/17Nq1ark5GSoPFTMW265xSn6SxKwHMtfrlw5WDtw4EDRKDtY986ZM6dy5cpwLhZDtAg0ASQHUU+HYBJvsuFYLDaWvF69er169brU996v9ScutB/bgOr88MMPcXbEMfbu3r27WrVq4jctTEvBypUrcdnAgVIsI/Mr+hgxYgQMkZ/+qnapM8EZq1atimExQr9+/UR8WI1CQECbX+YDc4Bp8rkw74No7jWNcjPfbV20dutMVOBw+Tg8aiWSTX43wTwWcy7nA5fATp06iS8AOr5P2YUrrrrqKvS/+uqrcSWT46sLqt57eYk3cw6O8eMoptM01Fj1MqDEGreOS1Ch+pT10bNnT/Q3fwdIM81/yoDPPvsMha9Vq1ZTp05F6fF/e+dEWACp1QalrUzhY5Km893MFMiX5oECbCcmJp46dUq8dOsmEQO6rZQ6GXMoLxEoiU5pcvOeNW7VDo6H0hTUIP5Lk5vt5oESNQ21qAg4MSGAFvq+dCYEkHhzVEXzsFtImAthNd+6iCrWObtVEiccldZPmRXjq/EZk0qrEnEB5AcIQMg9vbWQPXv2yK/wmJh74fcQfovCZFfhE1g7d+6UBa6YWC3dsWOHqn+xwNZfLXOzC3Pbvn27OoIf0C0vL8/8TqD3QcxpWI0yMQ+0tnufiYl5LGID9mqlTYDbAtyWLVmy5M9//jMyBBfvf/7zn3ong4DxZs7BikenOZ4HlFjj1hpUuPDgFkprVHFbMivyXPBqmcI3RfwQUQHkH8353s30uGreu4kNdaW0yZhDBYzA0DBP5HgrTW5nDzZuraUpqEHMmViNMjEPDEhQE/OD5mFrSDhGNzf82xuuOTu2odwqbWhl1vEQ5+YcrPj3iWR8MX8Ikf+dh1y8bNy4sXfv3lsKn4khIZCamtqmTZtu3bpVrFhRftroRjH/FQarDSEXHSW5zFIAEUJCB/d/c+bMyczMXLRokfnZpcYvv/xCAUQIKSFMKOY/Q507d678vQ1CCPFDbm7uihUr9CLiGVYbQki4WL9+/SeffKJXGYXAAujQoUMl7Z/GEUJKJpmZmefOndOLiGdYbQgh4WLcuHH+y1FgAQRefvll9bktQggx+emnnyCA9PIRJKw2hJDi8+OPP/p/AOg3jwIoOztb/tNBQgixgvutEydO6OUjSFhtCCHFZ/To0QHLkScBBIYOHer/i7WEkNLM0qVLFy9erBeOkGC1IYQUhyVLluA+Sq8sBl4FEEYcOHCg9n+JCSEErF69evr06XrVCBWH1YYQEiqff/751KlT9bJiw6sAAvv27UNV4p0ZIURllg+9XhQPVhtCSAjMnDkzKytLLyguBCGAwOnTp19++WV+Qk8IcXxfek9PT9+0aZNeKcIBqw0hxDsoR4MGDcJfvZS4E5wAEmRnZ6MwvfHGG/zFDkJKIdu3b8dt1tChQz/44IPz58/rBSKssNoQQvwgy9H8+fP/97//6RXEL6EIIMHhw4fnzZs3duzYMWPGZJDSR1xcnN5E/ugg2ZHyc+bM2b9/v14RIgmrDVFh8SEZvnIEZs+evW/fvgsXLuhVwwOhCyBSykEN0psIISTysPiQsEABREKENYgQEhNYfEhYoAAiIcIaRAiJCSw+JCxQAJEQYQ0ihMQEFh8SFiiASIiwBhFCYgKLDwkLFEAkRFiDCCExgcWHhAUKIBIirEGEkJjA4kPCAgUQ8UpBQYH6UqtB2l5CCAkXLD4kElAAEa/MmzcvJydHvlRrENqxV74khJAwwuJDIgEFEPHKyZMnGzRoIMuQrEFoQTv2/t6VEELCB4sPiQQUQCQI0tLSkpKSRBkSNQjbN910U//+/fWuhBASPvr164dSoxUflKP7779f70qINyiASBCMHTs2Pj4+JSUFpQc1CH9r1qxZvXr1oP4BLyGEBAuKDIpPnTp1ZPH505/+hJZly5bpXQnxBgUQCYL//Oc/kDt33313w4YNUYNq1aoFAXTbbbfp/QghJNy0aNEiISGhbt26KD64DWvevHlycrLeiRDPUACR4EhLS0P16du3b5yPNm3aZGVl6Z0IISTcoNRA/dSoUQOVp0OHDvj7/PPP650I8QwFEAmOvLw8IX0EtWvX5hOIhJAogFJTs2ZNWXzi4+OPHj2qdyLEMxRAJGhSUlJEAWrevDkffyaERI0nnnhCvAMEOnbsqO8mJBgogEjQjB07VhSg1NRUPv5MCIkaKDjiGSDAx59JMaEAIkEjHoVGAeLjz4SQKNOiRQsUHz7+TIoPBRAJBfEoNB9/JoREGZSdOD7+TMLBxSeAzp49+9FHH00kMeWFF15ADRo9erS+g0QRJALSQc8QEiQsKRcXKDsoPqNGjdJ3kBLMihUrfv31Vz33Ys3FJID27NmD0J80aVJ+fv6ZM2ccElM+/vhjvYlEEaQAEgHpgKRAaujZQjwAv2VkZLCkXHSw+FxEnD59+pdffsnNzZ0wYQKUUIn61vDFIYDOnTuXmZmZlZV17Ngx3buElG6QFEgNJAjSRM8c4oIoKTNmzDh+/LjuUEJIZDh8+PC4ceOWLFmiJ2SMuAgEUEFBwaBBg3bv3q37khBSCBIEaYJk0fOHGMBL6enpLCmExIRly5bh3kNPy1hQ0gUQStXgwYOPHDmiu5AQUhSkCZKFGsg/8M+QIUNYUgiJIWvWrJk1a5aenFGnRAugc+fO4aaWpYoQjyBZkDL8LMwNeCY9PZ0lhZCYM3v27Pz8fD1Fo0uJFkATJ07ctWuX7jZCiDs7d+5E4ui5RHywpBBSchgyZMj58+f1LI0iJVcA7d69e/r06brDCCGBQOIgffSMKvXAJzNmzNCdRQiJEbm5uQsWLNATNYqUXAGUkZHB73wREgJIHKSPnlGlnjFjxrCkEFKiGDlypJ6oUaSECqCzZ89OnDhRdxUhxBtIH/5Gogq88eqrr+puIoTElFmzZh08eFBP12hRQgXQ0qVL8/LydFcRQryB9EES6XlVioE38vPzdTcRQmLK9u3b586dq6drtCihAigzM1P3EyEkGJBEel6VYiZOnHj69GndR4SQWDN+/Hg9XaMFBRAhf0wogFT4kTohJZNx48bp6RotSqgAmjBhgu4k4s7x48fz8/O3bt1aQn7Xv6CgYMqUKd27dx8+fLi+L6YMHDhwzZo1emvwlFgDVZBEel6VYnhPRfwwcuTIZcuW6a0kKlAA6XgRQJUqVSqjYP1xsxtuuOGtt97SWwPhZeSwE9pUDx482KdPn3LlysXFxVWrVg0bvXr10jtFHYiDhISEadOmvfnmm/q+mHL99deH4GSTcBlYsWJFNdIEl112md5Upkz//v0dX2R6f5KXAkjFuwC6/fbbsS7ILH2HX0LLX1JCaNCgATSQ3hpW/jAREnZDKIB0vAigK6+8cvz48ccL0Xf7WLt27Z49e/TWQho2bGi9nHgZOSyoE/A/VTe6du2amJi4fv168XLHjh2rV68u2iUwbn4IiNuBaWlpDz/8sN5aAgiXANIMdPNDQE6cOCFirHr16i+99JLYPnbsmNl48uRJxxeZ3j/KoQBS8SiAvv3227Jly0Jxvv766/o+v4SWvxohB9IfiZg4IRICSDMkLBESK4p/qfIDBZCORwGkXgw6dOgwadIksb158+batWtjkVq0aDFv3jzRuHHjRvS56qqrrrvuuhEjRvTr1w+32thOTk7et2+fHMcxRgaffvopui1cuNDxXbQ6deok6umGDRuaNm2K+8U77rhj7969orN2IrTUrVtXvr+ampo6f/58bGgTkFPNzc1t27Yt5pCUlDR58mRxFECHKVOm3HXXXVWqVHnkkUdwRczJyUGlnjVrluyjYh3HHMT0g2mU1XzzQMHAgQNxLMxH+6ZNm8RJx44d26pVKwzoZ2LY7ty5c+XKlfv06bN161b0x+BDhgyRI0tMD/fv3z8lJeWaa6554IEHfv75Z7duEEAZGRmq+Y7NXg1tcM1AzQ/W0TQPmEDrDB06NGCjGZl+oABS8SiA0tPTsVhdunRp3ry5bJwxYwYuAFhT3G+4tail5osvvkCaY7GwF4uOjBMdtNQTnSVaIFnTRMUa8yrWM5rxCUvnzp2LDbzEqadOner4PuStV6/ed999pw5oHmutDNaeji0fzcJoVhWrH/wklOkWqx8c3yRx0kqVKmGZkGumADInbJ2MYzuFaYiMELOzGMT0huPiSYm5121FrJ1NA61zcLtUOS4OcTPQDQogHY8CqEePHm/5wEI+99xzjRs3FrsGDBjQpk0bR7njRz7XqFEDqggrBwGLCrVly5a4uLhnnnlmzZo1x4u+zaONLBp79epVtWrV3bt3jx49+qabbsKAaGzSpEnv3r1XrVqFlEO79URovPTSS99//30xDi7w4udotQmIqSJjExMTEZQrV67ExQ/6ZtGiReJAdEAUPv3006hQaF++fDmkDzZ27NghOqi4jWMOYvrBNMqxmW8eKMA9dOvWrRH9aBdeEicdPnz4unXr/EysfPnyaEG6orFatWrjx4/H1ahcuXI//vijHNxx8fCgQYOWLFmCMdFfJK21m2m+42Kvija4ZqDmB+toqgeKjv3/mFrH2kgBFDJeBBAqNWIGtfudd95BeIjcR8Si9CMav/rqqxUrVlhbnKJvLkIbtW/fHlH32muvVahQQVxZrbGnogbSoUOHrGmiYsa8hvWMZnzec889Dz74oONTdeiGl9h+7733atWqVXQ8y7GOrTJYe1rz0SyMWjb5KRduCWW6xeoHgOsF9AFmAi2F4qMJIHPCbpNxbKcwy6OMELOzGMT0hmPzpIp1r3VFzM6mgY7LHKyXKieYq4wY0A0KIB2PAqhOnTodfKBgQd7C13l5eadOncKqiIcz5FJhYbB35syZ6ggIDmtZ1EYWjYcPH0Zjy5YtoaCRYGjZtm0bxkS4rF69GjoXd42Oy4msUeUUnYCY6uLFi3H4559/Lhqhx3EfIzs88cQTYhvhCBehBKOz9ebPbRxzEKfoNKxGOTbztQNV7rzzzscff1y+xElffPFFse1nYpA72Dh69Cg6iDfzIDWwnZ2d/f8D+bB6WABX1K9f/6WXXnJcupnmu9lrog6uGSj94Daa6gErptaxNlIAhYw1UDUQnBV9T/8gCCFxUPEdX0DiRvbee++V/0TMbHGUUiOCFpcZ0S4/WzFjr/DQ35GB5JYmJmpYaphntMbn66+/Hh8fjw2c4tZbb8VRKKF//etfxWNnEuuxjq0yWHta89FaGNWq4uaHgAmlusX0AzagDy655BL5lQjzIzBzwm6TcVxOoZVHGSHWzo7NG1ZPStz2miti7Wwa6NjmILbNS5Xj7hA3A92gANIJ6DLHdjFAxA8YMODjjz/Gwv/000+OslS4q8NSae/oul2/zZEF06ZNwyDyTVchb5MLadWqleNyIu9RJQ6Xmub+++9v3bq12kFs16xZEy6Cckdn3IaKRhW3ccxBnKLTsBol0Mx33B1oCiB50oATO3HiBDosWLAA299//30ZQwBZPfzKK69gnHr16l1xxRWi6lm7meb7sVdiDu4mgNxGU89rxdQ61ka3yLRCAaRiDVSNtLQ0rNTDPuB83EaLe/cPPvgA7XC+fDDIbJFLPH36dDXCVQFkpp6GDCS3NFExw1LDPKM1Pr/55hs05uTkXHvttdBtKFbYxrHyzS2B9VhBeAujWlXc/OAnoUy3mH7Axttvvw0BZC6TxJyw22Qcl1P4EUBmZ8fmDasnJX72mrXa7Gwa6NjmILbNS5Xj7hA3A92gANIJ6DLHdjEYNmwY3P3QQw+Jd3QdZSVwQcVSyU8uBVjU8ePHqy0Cc2THJ6uTkpJSU1PLly8vHjpeuHAhxhTvHEqsJ0JUiXeSfvjhh8svv1yNKjkBMdX58+fj8C+//FI0Nm7cuFu3bmoHsS2iasuWLWXLloXmE40qbuOYgzhFp2E1yrGZ77g70I8ACjixgALI9DCuRqhlol43adJEVD2zm2Mz381eiXVwUwAJP7iN5qdeC0ytY220RqYbFEAqAQXQ3r17EdtPPvnkyz6effZZLOV7770n9h46dAi7EAnbt2+3tsglzs3NxYEbNmwQfeLj44MSQCKQ3NJEYg1LDfOMbvGJ1O7evbv4zKtp06b33Xffddddh0xU+7gda1YGa09rPloLo1pV3PzgllBWt5h+wMby5csxMkqoaK9bt64mgMwJu03GcTmFVh5lH2tnx+YNqyclbnvNFXFsnU0DHdscRLt5qXLcHeJmoBsUQDoBXeb4LgbDhw/fVcjRo0e//vrrMj7kY1xyJRATcXFxzZo1W7du3bZt29auXYvGtm3bItXNR7TMkdH42GOPNW/e/NixY507d65du/ZhH7hEdenSBVlUUFAgYst6IlSWvn374r6qZcuWmJ6MKnUCYqr79++vUqUKznXgwIF3330X4SgjyRpVkHoVKlSAEj9y5AjuVpH54gLpNo51EHUaVqMcm/nagSp+BFDAiQUUQKaHcSCcsHnzZiQz7mKfeuopazf1LE6h+W72SqyDawZKP7iN5lavJabWsTZaI9MNCiCVgAJozJgxiYmJp06dki0pKSl/+ctfELFYekgZXDIRrrhjNlucokuckJDQqFGjUaNG4RqMixA2tA5uVwUZSG5pIrGGpYZ5Rrf4RHVCovXr1w/bzz//PLYfeeQROY7A7VizMlh7WvPRWhjVquLmB7eEsrrF9IPj+xzziiuuwMibNm1CN5xdE0DmhN0m47icQiuPso+1s2PzhtWTEre95opYO5sGWucgxjQvVY631XELdRUKIJ2ALnOMX+sRz73fcsstahVTf7Fg5cqVKExlfL+zIj7enjNnTuXKlXFREZ+XScyRP/zwQ3RDXjm+D4+rVasmfm5n1apVycnJuOdAmcOpxeHmiSBKKvoYMWIEzig/dlUnIKeK01WtWhVj4nCUJJk/qi2IKlHQEcR9+vS5zAfmUK9ePfkonHUc6yCaH0yj3Mx3c6CmD7TfjfA/MSGAxGoKASRuplU0D+PsDRs2xEuYj4nJd3HNhbCab9qrYh1cM1D1g3W0gL+cgXkOGzYsYKMWmdrdmwYFkEpAAQS5I55Ck0ASIXJwD43rRLly5VDrBw4ciHYoHq3FKbrEn332Wfv27Vu1ajV16lRcdcQ9iTX2NNRAsqaJxBqWagfH5YzW+MTVC0MtXrwY20uWLME2WgqH+R3zWLfKYPZ0bPloLYxaVbH6wS2hrG6x+gHgXqKsj549e6K/+S0wc8LWyTgurtYMkX2snR0Xb1g9KTH3uq2ItbNpoHUOjsulynFxiJuBblAA6QR0Wcjs2LFDvW/++eefi/+TBrgXx+2g1qidCHFj/UFF6wQg4LZv3+7//l4FPfPy8swvSXofx5yG1SgT80AveJ+YHzQP7yp8InXnzp3qfbzWzQ3/9roNLtH84H+06JDJf4Wh4P2jQytYXNxS+2+RyAjJzs4uo7wh7QU1kAKmScCwdKM48en9WGtPL4VRy6aAftDw7hbcQB44cEBvLYo24aAmE2x5tHrDcfGkxP9eDbOzlxVx3G0JyiFWKIB0IieACCklUACpTIziP0NNTU1t06ZNt27dcCfdvn17fTchRIH/DFVn6dKleXl5up8IId5A+iCJ9LwqxcAb+fn5upsiA5w/Z84cCNBFixaZT8gRQiTbt2+fO3eunq7RooQKoLNnzxbzLWtCSjNIHySRnlelGHgj+v9ggRDin1mzZh08eFBP12hRQgUQyMjIcPuInRDiByQO0kfPqFLPmDFjWFIIKVGMGDFCT9QoUnIF0O7du6dPn657ixASCCQO0kfPqFIPfJKVlaU7ixASI3JzcxcsWKAnahQpuQLoN99zizt37tR9RghxBymDxNFzifiAZ+RXhAghsWXIkCHnz5/XszSKlGgBdO7cuUGDBlm/kkcIMUGyIGWQOHouER/wTHp6OksKITFn9uzZ+fn5eopGlxItgEBBQcHgwYNZsAgJCNIEyYKU0bOIKMA/uO9kSSEkhqxZs2bmzJl6ckadki6AfvMVLNzU7t69W3chIaQQJAjShOrHC/BSeno6SwohMWHZsmUzZszQ0zIWXAQC6DffG9eZmZlZWVn8EgchGkgKpAYShJ98eUeUFFRhlhRCosbhw4fHjRu3ZMkSPSFjxMUhgAR79uwZPXr0pEmT8vPzz5w5o7uWkNIEUgCJgHRAUiA19GwhHoDfMjIyWFIIiRynT59GcuXm5k6YMGHixIknT57U8zB2XEwCSHD27NmPPvpooo9MEjvi4uL0JhItRPwjEfhrh8WHJeWig8XnYkGkFVixYsWvv/6q516sufgEECkhoAbpTYQQEnlYfEhYoAAiIcIaRAiJCSw+JCxQAJEQYQ0ihMQEFh8SFiiASIiwBhFCYgKLDwkLFEAkRFiDCCExgcWHhAUKIBIirEEkNBzHGTly5PHjx/UdhHiDxYeEBQogEiKsQSQEoH4GDBiwbdu2F154gRqIhAaLDwkLFEAkRFiDSLAI9XPw4EFs4C81EAkNFh8SFiiASIiwBpGgUNWPgBqIhAaLDwkLFEAkRFiDiHdM9UMNREKGxYeEBQogEiKsQcQjbupHQA1EgoXFh4QFCiASIqxBxAuOX/UjoAYiQcHiQ8ICBRAJEdagUkhBQcG8efO8/z9nx4P6EQSrgTAHzATz0XeQUgCLDwkLFEAkRFiDSic5OTkNGjTo2rXr9OnTL1y4oO9WcDyrH4FHDbR+/fq77767Tp06mIm+j5QOWHxIWKAAIiHCGlRqgfJISkqKj49PTEx89NFHd+3apfcIXv0I/GigkydPvvLKK/Xr10fg3XjjjVQ/pRkWHxIWKIBIiLAGlWagPxo2bNiuXbs4H82aNVPfEHJCUj8CUwOJt3wSEhLEuZKTk6l+SjksPiQsUACREGENKuUIDXTPPfcIXQLEG0JfffVVyOpHIDTQ3r17xVs+1atXl6eg+iG/sfiQMEEBREJEXpMI0XjnnXd0URMk//jHP/RBCVHQ6xEhwUMBRAgJhZycnFq1aomrUWpqauPGjdu2bZuVlXXgwIH09PSCggJd1Hjm4MGDAwcOxDgYrV27dq1bt+7Ro0ejRo1wovj4+MmTJ+tTIYSQ4KEAIoQEjVA/NWrUaNmyZXJy8tNPP71x40a5FyImZA0k1A825GgYGePXrVs3LS0NYogaiBASFiiACCHBAfVz4403Vq9eXbzlY/1ZICckDWSqHwnOIt4QSkhISExMnD17tt6DEEKCgQKIEBIE4neAtLd8rDhBaiA/6kdFvCGEOfBpaEJIcaAAIoR4JYRfgvaogTyqHwl/CZoQUkwogAghEcTxoIGCVT+EEFJ8KIAIIZHF8auBqH4IITGBAogQEnEcFw1E9UMIiRUUQISQaGBqIKofQkgMoQAihEQJVQNR/RBCYgsFECEkeggNtGPHDqofQkhsoQAihEQV6J64uDiqH0JIbKEAIoREG/4zS0JIzKEAIoREGwogQkjMoQAihEQbCiBCSMyhACKERBsKIEJIzKEAIoREGwogQkjMoQAihEQbCiBCSMyhACKERBsKIEJIzKEAIoREnIKCAvWlJoC0vYQQEgUogAghEWfevHk5OTnypSqA0I698iUhhEQHCiBCSMQ5efJkgwYNZs6cKV5KAQT1U6dOHez9vSshhEQFCiBCSDTo379/YmLi5MmTfysUQFA/NWrU6N69u96VEEIiDwUQISQa5ObmJiQkQPpAA+Ev1E/NmjXj4+PVj8YIISRqUAARQqJEu3btWrRoAdEDAVSrVi38TUlJ0TsRQkhUoAAihESJrKysbt26xRUCJZSZmal3IoSQqEABRAiJEidPnqxXr179+vWFAKpRowYffyaExAoKIEJI9Ojfv/+9994rBBAffyaExBAKIEJI9MjNzW3VqpV4+4ePPxNCYggFECEkqrRr1y6Ojz8TQmINBRAhJKpkZWVBAPHxZ0JIbKEAIoREnAsXLmzcuDEjIyMtLU18BIa/2EYL2rFXP4AQQiIMBRAhJLJkZ2ff7eONN97YsmXL4cOHV69ejb/YRovYhT76YYQQEkkogAghkeL8+fOjRo3q2LHjv/71L32fAvaiD3qiv76PEEIiAwUQISQiQM307du3d+/eZ86c0fcZoA96oj81ECEkOlAAEUIiwqhRo6BpvAsa9ER/HKXvIISQCEABRAgJP9nZ2R07djx9+rTa+OWXX6alpdWvXz8pKalOnTpt27bNyspSO6A/juLzQISQKEABRAgJMxcuXOjatav63M/58+dfeOGFevXqJRlA8fzyyy+yJ47CsfxeGCEk0lAAEULCzMaNG++66y61ZfDgwSkpKbr2KeT2229XO+NYjKC2EEJI2KEAIoSEmYyMjL///e/y5aZNm1JTU3XVU5TZs2fL/jgWI8iXhBASCSiACCFh5p577tm8ebN8+eyzz95888265ClKu3btZH8cixHkS0IIiQQUQISQMNO6deuCggL5smXLlrreMahbt67sj2MxgnxJCCGRgAKIEBJm6tev/9///ld9qesdg+TkZNkfx+IQ+ZIQQiIBBRAhJMxo7wDhZcCPwBo0aCD78x0gQkgUoAAihIQZ8xmghx56SJc8RenRo4fsz2eACCFRgAKIEBJmzG+BtW3btlmzZrrqKaRBgwZ5eXmyP78FRgiJAhRAhJAwY/4O0LBhw+67777mzZvr2icpKTU1ddCgQWpn/g4QISQKUAARQsKM9ZegoYFuu+22Rx999JZbbhHS59Zbb23atOnLL7+s/r8w/hI0ISQ6UAARQsKP9X+Bbdq06bnnnmvTpg3UD/5iGy1qB/4vMEJI1KAAIoREBP43eEJISYYCiBASESBo+vbtC01z5swZfZ8B+qAn+nsXTIQQUhwogAghkQJqZtSoUR07dlSfBzLBXvRBT6ofQkjUoAAihESW7Ozsu3288cYbW7ZsOXz4MBrxF9toEbv43A8hJMpQABFCIs6FCxc2btyYkZGRlpZ26623iq+AYRstaOd3vggh0YcCiBBCCCGlDgogQgghhJQ6KIAIIYQQUuqgACKEEEJIqYMCiBBCCCGlDgogQgghhJQ6KIAIIYQQUuqgACKEEEJIqYMCiBBCCCGljv8D3ZR8mizaN8UAAAAASUVORK5CYII=","name":"images/ConntextLifecycle.png","type":"image/png"},{"content":"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","name":"images/ExampleWF.png","type":"image/png"},{"content":"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","name":"images/ExampleWFConnected.png","type":"image/png"},{"content":"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","name":"images/Excutionplane.png","type":"image/png"},{"content":"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","name":"images/ExecutionContextClass.png","type":"image/png"},{"content":"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","name":"images/flowControlClass.png","type":"image/png"},{"content":"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","name":"images/workflowDefinition.png","type":"image/png"},{"content":"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","name":"images/workflowExecutor.png","type":"image/png"}],"sections":[{"content":"## State and Node\n\n\n\n### **State**\nA State is a lightweight connector that marks a logical point in the workflow. States help define where the workflow currently is, where it starts, where it stops, and where it can be resumed in case of interruptions or failures. States do not execute tasks or manage logic; they simply act as markers for workflow progress.\n\nA State in the LOS workflow is a marker or checkpoint that indicates where the loan application currently is in its lifecycle. States do not perform tasks; they only track progress, provide clarity, and act as anchors for resuming workflows in case of interruptions.\n\n#### Key Roles of States \n1. **Progress Tracking:** Helps identify whether a loan application is at data validation, credit scoring, underwriting, or approval.\n2. **Logical Points:** Marks key stages in the workflow, such as:\n- Start: Application received.\n- Stop: Loan disbursed or declined.\n- Checkpoints: Allows workflows to restart from where they left off if interrupted (e.g., server downtime, missing data). \n\n#### **Key Features of State**\n**Progress Marker:**\n - Tracks where the workflow is at any given time.\n\n**Types of States:**\n- **START:** Marks the beginning of the workflow.\n- **STOP:** Marks the end of the workflow.\n- **CHECKPOINT:** A special marker where workflows can pause, resume & rollback to.\n- **STATE**: Any intermediate point in the workflow.\n\n**State Responsibilities**\nProvides clarity on workflow flow without embedding execution logic.\nServes as the entry or exit point for tasks or decisions.\n\n#### Attributes\n| **Attribute** | **Type** | **Description** |\n|-----------------|-------------------------------------------|-------------------------------------------------------------------------------------------------------------------|\n| `id` | String | The unique identifier for the state within a workflow, ensuring local uniqueness to the workflow. |\n| `name` | String | A human-readable name for the state, providing clarity and context for debugging or visualization. |\n| `type` | ENUM[START, STOP, CHECKPOINT, STATE] | Defines the type of the state, indicating its role in the workflow (e.g., starting point, stopping point, etc.). |\n\n\n\n> 1. Sate Name is not mandatory\n> 2. State can be a mere ID\n> 3. State id should be a fully qualified name, like `co....states.`\n> 5. State name is mandatory only in case of checkpoints \n> 6. Start and Stop are markers with no special features attached to them\n\n\n**Example:-**\n```json\n{\n \"id\": \"co.AXIS.retailWorkSpace.personalLoanFlow.states.1\",\n \"type\": \"STATE\"\n}\n```\n---------\n\n### Node\nA Node is an actionable or logical unit within a workflow that represents either a task to execute or a decision point to evaluate. Nodes are the active components of a workflow, performing work or directing the flow based on conditions.\n\n**Types of Nodes**\n- Task Node:\nExecutes a specific unit of work (e.g., API call, business rule evaluation).\nExample: \"Validate User Data\".\n- FlowControl Node:\nEvaluates conditions and determines the next node in the workflow.\nExample: \"Check Eligibility\".\n\n**Node Responsibilities:**
\n1. Encapsulates logic for execution or decision-making.\n2. Interacts with States to transition workflows.\n\n**Key Roles of Nodes**\n- **Action Execution:** Executes specific tasks (e.g., calling an API, running a business rule, generating a report).\n- **Decision Making:** Evaluates conditions and decides the next step in the workflow (e.g., checking if the applicant meets the eligibility criteria).\n\n---\n\n**Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|---------------------|------------------------|-------------------------------------------------------------------------------------------------|\n|`id`| String | The identifier of the Node within a workflow, it is essential that the identifier is local to the workflow|\n|`name`| String | This is the name of the node defined at a global level, to be read from the template, in case of flow control nodes is should be derived at configuration time |\n| `type` | ENUM[USER_TASK, MODULE_TASK,DECISION, CONDITIONAL] | This attribute defines the type of node in context |\n\n> 1. id of the Node should be a fully qualified name, like `co....nodes..` \n> 2. Task common name is the name in the template of the task (Read taskTemplates) \n\n\n**Configuration:**\n\n```json\n{\n \"id\": \"co.AXIS.retailWorkSpace.personalLoanFlow.nodes..1\",\n \"name\":\"name\",\n \"type\":\"TASK\"\n}\n```\n\n\n---\n---","filename":"01 - State and Node.md","format":"Markdown","order":1,"title":""},{"content":"## Workflow\n\n> Bringing it together\n\nWorkflow is the entity that bring the Nodes and states together.\n\n\n\nThe above image give s a view of the conceptual workflow which consists of two states and a simple node which can be a Task, a condition a fork or a join point.\n\n### Key design Decisions\n1. 1 state can connect to only 1 node\n2. Node will be the only entity responsible for state transition \n3. No logical implementation will be done on the state\n\nLet's take a very simple Workflow:\n\n\n\nThe above workflow defines the `nodes`:\n1. **User Task:** Customer details to capture customer details\n2. **Create Application:** A \"Module Task\" (A specific type of service task, to be discussed in details)\n\n& States:\n1. **Start:** this is the starting point of the Workflow \n2. **State** there is a intermediate state that between customer details and create application, which is not visible but exists.\n3. **Stop:** the state at which the execution stops\n\nLet's assume:\n1. workflow code is leadGenPL\n1. workspace code is WS_PROD &\n1. tenant is ABC\n\n\n## Resulting Context\n\nWith the above information the workflow is defined as:\n\n\n```json\n{\n \"name\": \"lead generation PL\",\n \"code\": \"leadGenPL\",\n \"description\": \"workflow generating leads for Personal loan\",\n \"nodes\": [\n {\n \"id\": \"co.abc.ws_prod.leadGenPL.nodes.1\",\n \"name\":\"CustomerDetail\",\n \"type\":\"TASK\"\n },\n {\n \"id\": \"co.ABC.WS_PROD.leadGenPL.nodes.2\",\n \"name\":\"CreateApplication\",\n \"type\":\"TASK\"\n }\n ]\n}\n```\n> _Note: above representation does not represent the persistence structure of the entity it is representational only_\n\nThe Resulting states will be:\n\n```json\n\"states\" : [\n {\n \"id\" : \"co.ABC.WS_PROD.leadGenPL.states.1\",\n \"type\" : \"START\"\n },\n {\n \"id\" : \"co.ABC.WS_PROD.leadGenPL.states.2\",\n \"type\" : \"STATE\"\n },\n {\n \"id\" : \"co.ABC.WS_PROD.leadGenPL.states.3\",\n \"type\" : \"STOP\"\n },\n]\n```\n> _Note: above representation does not represent the persistence structure of the entity it is representational only_\n\n-------\n\n\n\n-------\n\nThe above structure give a very limited view of the workflow it just tells me the availability of the two `Nodes` & three `States` it does not give me a logic of transition between the task.\n\nThe actual transitions are something that we will build on in the subsequent sections.\n___________\n___________\n","filename":"02 - Workflow.md","format":"Markdown","order":2,"title":""},{"content":"## `Task` Abstract class\n\n\n ```\n _______________\n | |\n o---| Task |---o\n state |_______________| state\n\n```\n\n### Overview\n\nThe `Task` abstract class is a core element of the Workflow Execution Engine, providing a standardized way to define a unit of work. It allows for defining various task types with distinct roles, which can be used to perform actions, trigger transitions between workflow states, and encapsulate business logic. By extending the `Task` abstract class, different types of tasks can integrate seamlessly into workflows, enabling a modular and extensible system for managing complex business processes.\n\n---\n\n#### Purpose of `Task`\n\nThe primary purpose of the `Task` abstract class is to:\n\n1. **Standardize Task Representation**: Establish a consistent definition for all units of work within a workflow.\n2. **Enable Modularity**: Allow for different implementations of tasks to be created independently while being compatible with the workflow system.\n3. **Control Workflow State Transitions**: Manage the transition from one workflow state to another, ensuring that all criteria for starting and ending tasks are met.\n4. **Encapsulate Execution Logic**: Define a task's core business logic, handling all necessary operations to complete a specific unit of work.\n\n---\n### Class Hierarchy\n\n\n\n#### Attributes of `Task`\n\nThe `Task` abstract class consists of several core attributes, each serving a distinct purpose in the workflow:\n\n| **Attribute** | **Type** | **Description** |\n|---------------------|------------------------|-------------------------------------------------------------------------------------------------|\n| `id` | `String` | A unique identifier for the task, used for distinguishing and tracking the task. |\n| `name` | `String` | A human-readable name of the task, useful for identification and documentation purposes. |\n| `fromState` | `State` | The state from which the task starts its execution, helping control workflow transitions. |\n| `toState` | `State` | The state to which the workflow moves upon successful completion of the task. |\n| `entryCriteria` | `Map` | Conditions that must be met for the task to start executing. |\n| `exitCriteria` | `Map` | Conditions that must be satisfied for the task to complete successfully. |\n| `attributes` | `Map` | List of attributes specific to the task these attributes are defined based on the type of task in context. |\n\n##### 1. `id` Attribute\n- **Purpose**: \n - Acts as a unique identifier for each task.\n - Essential for tracking tasks within a workflow, especially during debugging or auditing.\n- **Design Considerations**: \n - IDs should be unique across the entire workflow system.\n - Should follow a consistent naming convention to facilitate easy identification.\n\n##### 2. `name` Attribute\n- **Purpose**: \n - Provides a descriptive name for the task.\n - Assists in documenting tasks and makes workflows easier to understand.\n- **Design Considerations**: \n - Names should be descriptive enough to provide a clear understanding of the task's function without needing additional information.\n - Should be human-readable and follow a clear, concise format.\n\n##### 3. `fromState` Attribute\n- **Purpose**: \n - Defines the state from which the task begins execution.\n - Helps control the flow of execution within the workflow, ensuring tasks only execute when the workflow is in the correct state.\n- **Design Considerations**: \n - The `fromState` must always be valid and defined in the context of the workflow.\n - Helps maintain the correct sequence of task executions within the workflow.\n\n##### 4. `toState` Attribute\n- **Purpose**: \n - Defines the state to transition to upon successful task completion.\n - Plays a crucial role in defining the progression of a workflow from one state to another.\n- **Design Considerations**: \n - The `toState` must align with the overall workflow transition map, ensuring that workflow execution proceeds logically and consistently.\n\n##### 5. `entryCriteria` Attribute\n- **Purpose**: \n - Defines the preconditions for the task to start executing.\n - Ensures that the necessary resources or prerequisites are in place before the task can execute.\n- **Design Considerations**: \n - The criteria must be explicitly defined to prevent unintended task execution.\n - Evaluation of `entryCriteria` should occur before starting the task to ensure workflow integrity.\n\n##### 6. `exitCriteria` Attribute\n- **Purpose**: \n - Defines the conditions that validate successful task completion.\n - Provides a way to verify that the task achieved its intended goals before transitioning the workflow to the next state.\n- **Design Considerations**: \n - `exitCriteria` should be flexible enough to handle the different possible outcomes of task execution.\n - Should be comprehensive to prevent transitioning to an incorrect state due to incomplete or invalid execution.\n\n---\n\n#### Methods of `Task`\n\nThe `Task` abstract class provides the following core methods to be overriddened by concrete task types:\n\n| **Method** | **Return Type** | **Access Modifier** | **Description** |\n|-------------------------|--------|-----------------|--------------------------------------------------------------------------------------------------------|\n| `validateEntryCriteria(context: ExecutionContext)`| `boolean` | `public` | this method exposes the entry criteria for the Task in question . |\n| `getExitCriteria()`| `Map` | `public` | returns the exist criteria for the workflow it helps the executor to validate the exit criteria and execution context setup. |\n| `execute(context: ExecutionContext)` | `Map executionVariables` | `private` | Executes the task’s core logic, applying the provided execution context, and returns the execution variables as a map |\n| `getTaskAttributes()` | `Map Attributes` | `private` | this method returns the task attributes for required for the task to function, to be used only for the debugging and audit capabilities in the execution context this method might not be called. |\n\n##### 1. `validateEntryCriteria(context)`\n- **Purpose**: \n - Ensures that all dependencies required for task execution are met and the entry criteria is met.\n - These dependencies could include upstream task completions or the availability of certain resources in context.\n- **Design Considerations**: \n - Must return `true` if all dependencies are satisfied, allowing the task to proceed.\n - Should throw an appropriate exception or return `false` if any dependency is not met.\n\n\n##### 2. `getExitCriteria()`\n**Purpose:**\nReturns all the `exitCriteria` to the `TaskExecutor` in order to validate the successful completion of the task.\n\n\n##### 3. `execute(ExecutionContext executionContext)`\n- **Purpose**: \n - Executes the main logic for the task.\n - Utilizes the `ExecutionContext` to interact with workflow variables, read inputs, and produce outputs.\n - Calls the internal method `publishExitParameters()` to save relevant output parameters into the `ExecutionContext`.\n- **Design Considerations**: \n - The task’s business logic should be encapsulated within this method.\n - Must be implemented in a way that ensures tasks are stateless and rely on `ExecutionContext` for state information.\n\n#### `getTaskAttributes()`\n- **Purpose**\n - Returns the attributes used by the task, this will be used in specific areas where task attributes are useful, for e.g. user task & rule task.\n - This method will also be used for auditing\n- **Design Considerations**\n - The this method should always return the valid attributes.\n - the attributes hoiuld be broken up in the most granular entities.\n\n## Exit-Entry criteria implementation\nEntry and exit criteria are critical components in workflow task design. They ensure a seamless and predictable flow of execution by managing the preconditions for task execution and the outcomes after task completion.\nThey are also required at the time of configuration to ensure there are no miss configurations.\n\n#### Entry Criteria\n**Definition**\nEntry criteria define the conditions that must be satisfied for a task to begin execution. These conditions ensure that the task has all necessary prerequisites in place, whether they are data, dependencies, or external validations.\n\n**Purpose**\n- **Gate-keeping Execution:**\nEnsures that a task only begins when all required conditions are met.\n- **Workflow Integrity:**\nPrevents invalid or incomplete execution by validating dependencies and prerequisites.\n- **Flexibility:**\nSupports different types of conditions, enabling advanced workflows that can adapt to varying requirements.\n\n**Types of Entry Criteria**\nEntry criteria can be extended to include multiple types, depending on the use case. Below is a list of potential entry criteria types:\n\n1. **Required Context Fields**\n\n - Specifies the fields that must exist in the ExecutionContext for the task to execute.\n - Ensures that the task has access to all the data it needs for processing.\n\n>Examples: userCreditScore, userIncome, isEligible\n\n2. **Dependency Completion**\n\n - Verifies that upstream tasks or dependencies have completed successfully.\n - Ensures tasks execute in the correct sequence.\n \n>Example: Task \"DOCUMENT_UPLOAD\" must be completed.\n\n\n#### Exit Criteria\n\nExit criteria define the outputs or conditions that a task must satisfy upon completion. These criteria determine what fields are published to the ExecutionContext or validated before transitioning the workflow to the next step.\n\n**Output Management:**\nSpecify what data or results the task provides for downstream tasks or state transitions.\nWorkflow Integrity:\nEnsure that tasks produce the expected results before allowing transitions.\n**Flexibility:**\nAllow different types of outputs or validations depending on the task's requirements.\n**Types of Exit Criteria**\nExit criteria can be extended into multiple types based on the use case. Below is a list of potential exit criteria types:\n1. **Publish to Context**\n Specifies fields and their values to be published to the ExecutionContext.\n Share the task's outputs with downstream tasks.\n\n> Examples: approvalStatus: \"Approved\", eligibleAmount: \"{{ calculatedEligibleAmount }}\".\n\n2. **Condition-Based Validation**\n Defines conditions that must be satisfied for the task to be considered complete.\n Ensure the task produces valid outputs or achieves a specific state.\n\n>Examples: response.status == 200\n\n\n> NOTE: Entry and exit criteria are kept siple at this point of time we may create a separate class hierarchy for it once we figure more exit entry conditions\n\n### Resulting Context\n\nWith the above information now we can build on top of our example and define more parameters in the JSON:\n\n1. Customer Details\n```json\n{\n \"id\": \"co.abc.ws_prod.nodes.cust_det.1\",\n \"name\": \"Customer Details\",\n \"type\": \"USER_TASK\",\n \"description\": \"capture user details\",\n \"fromState\": \"co.abc.ws_prod.leadGenPL.states.1\", // start state\n \"toState\": \"co.abc.ws_prod.leadGenPL.states.2\", // intermediate state\n \"entryCriteria\": [], // there is no entry criteria described here\n \"exitCriteria\": [\n {\n \"type\": \"PublishToContext\",\n \"fields\": [\n \"applicant.phoneNumber\",\n \"applicant.firstName\",\n \"applicant.lastName\",\n \"applicant.pincode\"\n ]\n }\n ]\n}\n```\n\n2. Create application Task\n```json\n{\n \"id\": \"co.abc.ws_prod.nodes.create_app.2\",\n \"name\": \"Create Application\",\n \"type\": \"MODULE_TASK\",\n \"description\": \"capture user details\",\n \"fromState\": \"co.abc.ws_prod.leadGenPL.states.2\", // intermediate state \n \"toState\": \"co.abc.ws_prod.leadGenPL.states.3\", // Stop State\n \"entryCriteria\": [\n {\n \"type\": \"requiredContextFields\",\n \"fields\": [\n \"applicant.phoneNumber\",\n \"applicant.firstName\",\n \"applicant.lastName\",\n \"applicant.pincode\",\n \"product.code\" // this is a context variable that defines the product for which the workflow is there\n ]\n }\n ], \n \"exitCriteria\": [\n {\n \"type\": \"PublishToContext\",\n \"fields\": [\n \"application.id\",\n \"application.number\",\n \"applicant.id\"\n ]\n }\n ]\n}\n```\n\nNow lets see the node definitions:\n```json\n{\n \"states\": [\n {\n \"id\": \"co.abc.ws_prod.leadGenPL.states.1\",\n \"type\": \"START\" // marks the start of the workflow\n },\n {\n \"id\": \"co.abc.ws_prod.leadGenPL.states.2\",\n \"type\": \"STATE\" // transitive state\n },\n {\n \"id\": \"co.abc.ws_prod.leadGenPL.states.3\",\n \"type\": \"STOP\" // marks the END of the workflow\n }\n ]\n}\n```\n\nNow the above JSON gives you the information for Tasks created and the transitions between them. and the workflow is finally visualized as:\n\n----\n\n\n\n---\n---","filename":"03 - Task.md","format":"Markdown","order":3,"title":""},{"content":"## ModuleTask\n\nA Module Task is a _**predefined task type**_ provided by the platform to standardize frequently used actions. These tasks are tightly integrated with the platform’s modules (e.g., applications, services, KYC, Doc Verification) and come with _**predefined templates**_ for configuration and behavior.\n\n\n### **Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|---------------------|-------------------------|---------------------------------------------------------------------------------|\n| `id` | `String` | Unique identifier for the module task. |\n| `name` | `String` | A descriptive name for the module task. |\n| `type` | `String` | Always set to `MODULE_TASK` for this task type. |\n| `moduleAction` | `String` | Identifier of the template associated with this task. |\n| `moduleName` | `String` | The name of the platform module that this task belongs to. |\n| `entryCriteria` | `List` | Predefined conditions for the task to start execution. |\n| `exitCriteria` | `List` | Predefined conditions for the task to complete. |\n| `metadata` | `Map` | Additional metadata for extending functionality (optional). |\n\n### Key Characteristics\n- **Predefined Templates:**\n
Module tasks are associated with templates that define the task’s behavior, input requirements, and outputs.\n\n- **Standardized Entry and Exit Criteria:**\n
These tasks emit predefined entry and exit criteria based on the template, ensuring consistency across workflows.\n\n- **Reusable and Extensible:**\n
Designed to be reused across workflows without requiring custom implementation.\n\n- **Platform-Managed:**\n
Their execution logic is controlled by the platform, reducing complexity for users.\n\n### Relationships and Design Elements\n1. **Relation to Templates**\n
A template is mandatory for a Module Task.\nThe templateId links the task to a predefined template that:\nSpecifies the task’s default entry and exit criteria.\nDefines task execution logic and supported parameters.\n\n2. **Relation to Platform Modules**\n
Each Module Task belongs to a module within the platform.\nThe moduleName attribute identifies the owning module (e.g., \"applications\", \"notifications\").\n\n3. **Task Lifecycle**\n- **Predefined Entry Criteria:**\n
Dynamically generated based on the template and required parameters.\n\n- **Execution:**\nPerformed by the platform using the associated template logic.\n\n- **Predefined Exit Criteria:**\nGenerated based on the template’s outputs.\n\n\n---\n---","filename":"04 - ModuleTasks.md","format":"Markdown","order":4,"title":""},{"filename":"05 - Delegates.md","format":"Markdown","order":5,"title":""},{"content":"## User Task\n\nA User Task is a specialized implementation of the Task interface. It represents a human interaction or manual action required in the workflow. This could involve tasks like reviewing a document, approving a request, or providing additional input.\n\n### Purpose\n- **Human Interaction:** Represents tasks that require user input or decision-making.\n- **Workflow Integration:** Acts as a bridge between automated and manual processes within the workflow.\n- **Custom Attributes:** Provides flexibility for task-specific configurations, such as user roles, deadlines, and forms.\n- \n\n### **Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|----------------------|-----------------------|---------------------------------------------------------------------------------|\n| `id` | `String` | Unique identifier for the task. |\n| `name` | `String` | Human-readable name of the task. |\n| `pageCode` | `String` | code of the Page configured for the User task. |\n| `type` | `String` | Set to `USER_TASK` to denote this is a User Task. |\n| `assignedToUser` | `user` | The user(s) or group(s) responsible for completing the task (optional). |\n| `assignedToRole` | `Role` | Role responsible for completing the task (optional). |\n| `dueDate` | `Date` | Deadline for task completion (optional). |\n| `entryCriteria` | `List`| Conditions that must be met before the task can be executed. |\n| `exitCriteria` | `List` | Conditions that must be met before the task is considered complete. |\n| `metadata` | `Map`| Additional metadata or attributes specific to the task, access control mechanisms to be built with metadata (optional). |\n\n\n\n**Behavior**\n**Assignment:**\nThe task is assigned to a user or group based on the assignedTo attribute.\n**UI Configuration:**\nformConfiguration defines the form or UI that users will interact with to complete the task.\n**Completion:**\nThe task transitions to the next state once the exitCriteria are satisfied.\n\n> Assigned user & assigned role need to be rethought of once more information of the assigned scenarios are present.
\n> Ideally a customer journey should be only a customer journey rest all should be built in admin portal, provisioning these parameters just in case.\n\n**Example**\n```json\n{\n \"id\": \"co.abc.ws_prod.nodes.verify_customer.1\",\n \"name\": \"Verify Customer Details\",\n \"type\": \"USER_TASK\",\n \"description\": \"Verify customer details before creating an application\",\n \"fromState\": \"co.abc.ws_prod.leadGenPL.states.1\", // Start State\n \"toState\": \"co.abc.ws_prod.leadGenPL.states.2\", // Intermediate State\n \"entryCriteria\": [\n {\n \"type\": \"requiredContextFields\",\n \"fields\": [\n \"customer.phoneNumber\",\n \"customer.firstName\",\n \"customer.lastName\",\n \"customer.email\"\n ]\n }\n ],\n \"exitCriteria\": [\n {\n \"type\": \"PublishToContext\",\n \"fields\": [\n \"verification.status\",\n \"verification.timestamp\",\n \"customer.id\"\n ]\n }\n ],\n \"attributes\": {\n \"formId\": \"customerVerificationForm\",\n \"taskName\": \"VERIFY_CUSTOMER\"\n }\n}\n```\n\n---\n---\n","filename":"06 - UserTasks.md","format":"Markdown","order":6,"title":""},{"filename":"07 - BusinessRuleTask.md","format":"Markdown","order":7,"title":""},{"content":"## Subworkflow Task\n\nA SubWorkflow Task is a specialized implementation of the Task abstract class. It represents an existing workflow being utilized in current workflow as a task. Use case being, a highly reusable workflow could be created and reused in other workflows as a functionality.\n\n### Purpose\n- **Reusing existing functionality:** Represents a task that runs another workflow.\n- **Workflow Upgrades:** May be used as an upgrade to original workflow, without changing original workflow definition.\n\n### **Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|--------------------------------|-----------------------|---------------------------------------------------------------------|\n| `id` | `String` | Unique identifier for the task. |\n| `name` | `String` | Human-readable name of the task. |\n| `type` | `String` | Set to `SUBWORKFLOW_TASK` to denote this is a Subworkflow Task. |\n| `subWorkflowDefinitionCode` | `String` | Unique identifier for the workflow definition. |\n| `subWorkflowDefinitionVersion` | `String` | Version for the workflow definition. |\n| `entryCriteria` | `List` | Conditions that must be met before the task can be executed. |\n| `exitCriteria` | `List` | Conditions that must be met before the task is considered complete. |\n\n**Behavior**\n**Embedded Workflow:**\n
The task has an embedded functionality in the form of a workflow definition identifier.\n- **Standardized Entry and Exit Criteria:**\n
These tasks emit predefined entry and exit criteria based on the template, ensuring consistency across workflows.\n**Completion:**\nThe task transitions to the next state once the exitCriteria are satisfied.\n\n> current implementation consists of having a workflowDefinition object directly, once Cache Client is integrated with workflow engine, Subworkflow Task will have unique identifier(instance-id) associated to a WorkflowDefinition
\n\n**Example**\nTO DO : ADD JSON\n\n\n---\n---\n","filename":"09 - SubworkFlow.md","format":"Markdown","order":8,"title":""},{"content":"## Flow Control\n\nFlow Control Nodes are specialized nodes in the Workflow Execution Engine that handle the branching, merging, and flow control logic. They are essential for managing complex transitions in workflows by evaluating conditions or orchestrating multiple parallel paths.\n\n### **Purpose of Flow Control Nodes**\nThe primary purpose of flow control nodes is to:\n\n- **Control Workflow Branching:**\nAllow workflows to diverge into multiple paths based on conditions.\n- **Enable Parallelism:**\nExecute tasks or paths concurrently and synchronize them.\n- **Centralize Transition Logic:**\nEncapsulate decision-making and flow control in a consistent, reusable way.\n\n### Class Diagram \n\n\n\n#### FlowControl Interface\nThe FlowControl interface is a specialized extension of the Node interface, designed for managing workflow transitions and flow control logic. It encapsulates the logic for branching, synchronization, and condition evaluation, making it a key component for orchestrating complex workflows.\n\n**Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|-----------------|-------------------------------------------|---------------------------------------------------------------------------------|\n| `id` | `String` | Unique identifier for the FlowControl node. |\n| `name` | `String` | Descriptive name for the FlowControl node. |\n| `type` | `ENUM[DECISION, FORK, JOIN, CONDITIONAL, END]` | Type of the FlowControl node, defining its behavior. |\n| `transitions` | `List` | A list of transitions that define state-to-state movement and associated logic.|\n\n---\n\n**Methods**\n\n| **Method** | **Return Type** | **Description** |\n|---------------------------|----------------------------|---------------------------------------------------------------------------------|\n| `getNextState(context)` | `List` | Determines the next state(s) based on the execution context and transitions. |\n\n\n> The flow control nodes should not implement the execute method, and it should just implement getNextState to evaluate the transition\n\n#### Transition\nThis is a configuration value object used determine the state transition at the flow control nodes, fof `decisionNode` and `conditionalNode` workflow can transition to a single state only, while there is a special case of forkNode which splits the workflow in parallel processing and results in child execution contexts and multiple state as outcome. workflowExecutor should have the ability to handle multiple state outcomes and process child executions\n\n**Attributes of Transition**\n\n| **Attribute** | **Type** | **Description** |\n|-----------------|-----------------------|---------------------------------------------------------------------------------|\n| `expression` | `Expression` | A logical expression or condition that determines if the transition is valid. |\n| `toState` | `State` | The state to which the workflow moves if the condition is satisfied. |\n| `priority` | `Integer` | *(Optional)* Defines the priority of the transition when multiple transitions are valid. |\n\n---\n---\n\n","filename":"10 - Flow control.md","format":"Markdown","order":9,"title":""},{"content":"## Conditions And Decisions\n\n### ConditionalNode \n\nA Condition Node is a specialized Flow Control Node that evaluates a single condition and determines the next state based on whether the condition evaluates to true or false.\n\n#### **Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|-----------------|-----------------------|---------------------------------------------------------------------------------|\n| `id` | `String` | Unique identifier for the Condition Node. |\n| `name` | `String` | A descriptive name for the Condition Node. |\n| `type` | `String` | Set to `CONDITIONAL` to denote this is a Condition Node. |\n| `transitions` | `List` | A list of two transitions: one for `true` and one for `false`. |\n\n**Behavior**\n1. Evaluates a single condition using the expression in its Transition object.\n2. Selects the toState corresponding to the condition's outcome (true or false).\n\n**Example**\n```json\n{\n \"id\": \"co.abc.ws_prod.leadGenPL.nodes.chck_elig.1\",\n \"name\": \"Check Eligibility\",\n \"type\": \"CONDITIONAL\",\n \"transitions\": [\n {\n \"expression\": \"context['eligibility'] == true\",\n \"toState\": \"ApprovedState\"\n },\n {\n \"expression\": \"context['eligibility'] == false\",\n \"toState\": \"RejectedState\"\n }\n ]\n}\n\n```\n**Key Features**\n- **Binary Decision:**\nAlways results in one of two states.\n- **Simple Logic:**\nEvaluates only one condition, making it lightweight and easy to understand.\n---\n\n### DecisionNode \nA Decision Node is a Flow Control Node that evaluates multiple conditions and transitions the workflow to one state based on the outcomes\n\n#### **Attributes**\n\n| **Attribute** | **Type** | **Description** |\n|-----------------|-----------------------|---------------------------------------------------------------------------------|\n| `id` | `String` | Unique identifier for the Decision Node fully qualified. |\n| `name` | `String` | A descriptive name for the Decision Node. |\n| `type` | `String` | Set to `DECISION` to denote this is a Decision Node. |\n| `transitions` | `List` | A list of transitions representing conditions and their respective states. |\n| `priority` | `Integer` | *(Optional)* Defines the priority of the transition when multiple transitions are valid. |\n| `defaultState` | `State` | *(Optional)* The state to transition to if no conditions are satisfied. |\n\n**Behavior**\n- Iterates through the transitions and evaluates their expression values.\n- Collects all toState values for transitions that evaluate to true, break on the first condition that met multiple state transition is not possible\n- If no conditions are satisfied and defaultState is defined, transitions to the defaultState.\n\n> Forking of flow is permitted from a single decision task, thus this is a special kind of Fork node where the workflow branches out.\n\n**Configuration**\n```json\n{\n \"id\": \"co.abc.ws_prod.leadGenPL.nodes.chck_elig.1\",\n \"name\": \"Eligibility Decision\",\n \"type\": \"DECISION\",\n \"transitions\": [\n {\n \"expression\": \"context['eligibility'] == true && context['income'] > 50000\",\n \"toState\": \"co.abc.ws_prod.leadGenPL.states.1\"\n },\n {\n \"expression\": \"context['eligibility'] == true && context['income'] <= 50000\",\n \"toState\": \"co.abc.ws_prod.leadGenPL.states.2\"\n },\n {\n \"expression\": \"context['eligibility'] == false\",\n \"toState\": \"co.abc.ws_prod.leadGenPL.states.3\"\n }\n ],\n \"defaultState\": \"co.abc.ws_prod.leadGenPL.states.4\"\n}\n```\n**Key Features**\n- **Complex Decision-Making:**\nSupports multiple conditions and outcomes.\n- **Fallback Mechanism:**\nCan transition to a defaultState if no conditions are satisfied.\n\n### Summary\n**Condition Node:**\n- Simple, binary decisions.\n- Lightweight and easy to implement.\n- Use for workflows with straightforward Yes/No logic.\n\n**Decision Node:**\n- Handles complex.\n- Supports fallback mechanisms with a defaultState.\n- Ideal for workflows requiring sophisticated branching logic.","filename":"11 - Condition And Decision.md","format":"Markdown","order":10,"title":""},{"filename":"12 - Task Registry.md","format":"Markdown","order":11,"title":""},{"content":"## WorkflowDefinition\n\nA `WorkflowDefinition` is a central, pre-validated blueprint of a workflow’s structure and rules. It is derived from a domain-specific language (DSL) or configuration input and is later referenced by the execution engine to guide how states and nodes interact. By separating workflow definition from workflow execution, the engine can run reliably against a stable, internally consistent model, free from the complexities of parsing and validation at runtime.\n\n### Purpose and Role in the Architecture\n\nThe `WorkflowDefinition` exists at the core of the workflow engine. Its primary job is to provide a reliable “map” of the workflow:\n\n- **Stability:** It is fully validated before execution starts, ensuring no missing states, invalid references, or broken transitions at runtime.\n- **Consistency:** All workflow instances run against the same authoritative definition. Changes to the workflow produce new versions, leaving existing runs unaffected.\n- **Simplicity for Execution:** The `WorkflowExecutor` can focus on the current runtime data (variables, user input, partial results) while delegating structural queries (e.g., “What node comes after this state?”) to the `WorkflowDefinition`.\n\n\n\n### Class Diagram\n\n\n\n\n> with the above implementation remove the from state, from all the node types, since that will be handled by from sateToNodeMap.\n\n### Creation and Validation\n\nThe `WorkflowDefinition` is created through a multi-step process:\n\n1. **DSL Input:** \n A workflow designer provides a DSL file or configuration specifying states, nodes, transitions, and tasks.\n\n2. **Parsing:** \n The DSL is parsed into intermediate objects. Syntax errors are caught here, but deeper semantic checks may still be needed.\n\n3. **Resolution and Validation:** \n The resolver ensures all references are valid:\n - Each state has a unique ID.\n - START and STOP states are properly defined.\n - Node references in `stateToNodeMap` point to valid nodes.\n - Transitions in flow control nodes lead to valid states.\n - Task references (e.g., `taskDefinitionRef`) point to known tasks.\n \n If any check fails, no `WorkflowDefinition` is produced, preventing malformed workflows from reaching execution.\n\n4. **Construction:** \n Upon successful validation, a `WorkflowDefinition` object is built, encapsulating all states, nodes, transitions, and criteria in a coherent, ready-to-run model.\n\n### Core Contents of the WorkflowDefinition\n\n- **Metadata:** \n Includes `name`, `code`, and `description` for identification and documentation.\n\n- **States:** \n A collection of `State` objects, each with:\n - A unique ID.\n - A `StateType` (e.g., START, STOP, STATE, CHECKPOINT).\n - An optional human-readable name.\n\n- **Nodes:** \n A collection of `Node` objects keyed by their IDs. Nodes can be:\n - **TaskNode:** Triggers a known task and may have entry/exit criteria.\n - **FlowControlNode:** Implements branching logic through transitions.\n - **Other specialized node types** (e.g., `USER_TASK`, `MODULE_TASK`, `DECISION`, etc.).\n\n- **State-to-Node Map (`stateToNodeMap`):** \n A map from `stateId` → `nodeId`, allowing quick retrieval of the node associated with the current state.\n\n- **Start and Stop States:** \n Direct references to the START and STOP states, enabling quick identification of workflow boundaries.\n\n- **Transitions and Criteria:** \n For flow control and tasks, transitions and criteria are stored as pre-parsed objects. No runtime parsing is required, only evaluation.\n\n### Using the WorkflowDefinition at Runtime\n\nWhen the `WorkflowExecutor` starts a workflow instance:\n\n- It fetches the appropriate `WorkflowDefinition` by `code` (and possibly `version`).\n- Initializes an `ExecutionContext` with the `startState` provided by the definition.\n- Moves through the workflow by repeatedly calling `getNextNode(state)` on the `WorkflowDefinition`:\n - If the returned node is a `TaskNode`, the executor calls the `TaskExecutor` using the `taskDefinitionRef` specified in the node.\n - If it’s a `FlowControlNode`, the executor evaluates transitions (using the data in the `ExecutionContext`) and sets the next state accordingly. \n\nBecause all structure and references have been validated in advance, the `WorkflowExecutor` can trust the `WorkflowDefinition` fully, focusing solely on logic and data flow.\n\n### Advantages of a WorkflowDefinition\n\n1. **Performance:** \n With all references and transitions pre-resolved, lookups are simple and fast (e.g., direct map queries).\n\n2. **Maintainability:** \n Updates to the workflow (adding states, changing tasks) happen in the DSL layer and produce a new definition. The executor remains unchanged.\n\n3. **Scalability:** \n Multiple instances can share a single definition. Definitions can be cached in memory for quick loading, even under high throughput.\n\n4. **Error Reduction:** \n Early validation prevents malformed workflows from reaching the execution layer, reducing runtime errors and failures.\n\n### Method Details\n\nBelow are the typical methods you might find in a `WorkflowDefinition` class and their intended purposes:\n\n#### `getName(): String`\n- **Description:** Returns the name of the workflow.\n- **Use Case:** For display, logging, or debugging purposes to identify the workflow.\n\n#### `getCode(): String`\n- **Description:** Returns a unique code representing this workflow definition.\n- **Use Case:** For versioning, retrieval, and referencing the workflow in configuration or code.\n\n#### `getDescription(): String`\n- **Description:** Returns a human-readable description of what the workflow does.\n- **Use Case:** Helpful for documentation, UI displays, and providing context for administrators or operators.\n\n#### `getStartState(): State`\n- **Description:** Returns the `State` object representing the start of the workflow.\n- **Use Case:** The `WorkflowExecutor` calls this at the beginning of execution to know where to start.\n\n#### `getStopState(): State`\n- **Description:** Returns the `State` object representing the end of the workflow.\n- **Use Case:** The `WorkflowExecutor` uses this to recognize when the workflow has finished or reached its terminal condition.\n\n#### `getState(id: String): State`\n- **Description:** Given a state ID, returns the corresponding `State` object.\n- **Use Case:** Allows the executor or other components to look up state details by ID, useful for debugging or direct state operations.\n\n#### `getNode(id: String): Node`\n- **Description:** Given a node ID, returns the corresponding `Node` object.\n- **Use Case:** Similar to `getState`, this lets the executor look up node details, often after it determines which node to execute next.\n\n#### `getNextNode(state: State): Node`\n- **Description:** Given the current `State`, this method returns the `Node` that should be executed next.\n- **Use Case:** A critical method used by the `WorkflowExecutor` to progress through the workflow. Under the hood, it uses `stateToNodeMap` to find the right node. If no node is found, it might indicate a terminal or invalid state.\n\n#### `validate(): void`\n- **Description:** Ensures that the `WorkflowDefinition` is internally consistent—no missing states, invalid references, or broken transitions.\n- **Use Case:** Typically called once at construction or loading time. If validation fails, the `WorkflowDefinition` should not be made available for execution. This method might throw exceptions on invalid configurations.\n\n---\n---\n","filename":"13 - workflowDefinition.md","format":"Markdown","order":12,"title":""},{"content":"## Backing Strategy for WorkflowDefinition\n\nNow lets talk about storing, retrieving, and caching `WorkflowDefinition` objects using a NoSQL-based backing service. The primary goal is to ensure that once a workflow definition is parsed and validated, it can be saved in a persistent and structured manner, while also achieving high-performance retrieval via caching.\n\n## WorkflowDefinition JSON\n\n```json\nTO DO: add JSON\n```\n\n\n## Key Objectives\n\n1. **Persistence of Validated Definitions:**\n Store workflow definitions only after they pass validation, preventing malformed configurations from being persisted.\n\n2. **Schema Flexibility:**\n Use a document-oriented NoSQL store to easily handle hierarchical structures (states, nodes, criteria) and to adapt to evolving workflows without heavy schema migrations.\n\n3. **Fast Retrieval:**\n Employ a caching layer to serve frequently requested workflow definitions at low latency. Caching should reduce database load and improve response times for the `WorkflowExecutor`.\n\n4. **Versioning and Auditability:**\n Support multiple versions of the same workflow `code` to allow existing instances to run on older versions while new instances use the latest version. Keep a version field and a composite key `{code, version}` for lookups.\n\n## Proposed Technology Stack\n\n- **NoSQL Database:** \n A document store like MongoDB or DynamoDB is a natural fit. These stores allow storing entire `WorkflowDefinition` documents as JSON, maintaining the nested structure of states, nodes, and transitions.\n\n- **Caching Layer:**\n An in-memory cache (e.g., Redis or an application-level cache) to store recently accessed workflow definitions. The caching strategy ensures high-speed reads for workflow definitions once retrieved at least once.\n\n## Data Model\n\n- **Document Structure:**\n Each `WorkflowDefinition` is stored as a single JSON document. \n **Key fields include:**\n - `code`: Unique code identifying the workflow.\n - `version`: Version identifier for the workflow definition.\n - `name`, `description`: Metadata.\n - `startState`, `stopState`: References to the starting and ending states.\n - `states`, `nodes`, `stateToNodeMap`: Nested objects and arrays representing the workflow structure.\n \n Together, `code` and `version` form a composite key that uniquely identifies a stored definition.\n\n- **Indexes:**\n - **Primary Index on `{code, version}`:** Enables direct, O(1)-style lookups for a specific workflow definition.\n - **Optional Secondary Indexes:** For searching workflows by `name` or listing all versions of a given `code`.\n\n## Validation and Strictness\n\n- **JSON Schema Validation:**\n Before saving a `WorkflowDefinition` to the store, validate the JSON against a predefined schema. The schema ensures:\n - Required fields (like `states`, `nodes`, `code`, `version`) are present.\n - Field types match expectations (e.g., `states` is an object, `node` IDs are strings).\n - `stateToNodeMap` references valid states and nodes.\n\n- **Rejection of Invalid Documents:**\n If validation fails, the definition is not saved. This guarantees the store only contains fully valid and executable workflows.\n\n## API and Operations\n\n1. **Create/Update a WorkflowDefinition:**\n - **Request:** JSON payload of a `WorkflowDefinition`.\n - **Process:** \n - Validate against schema.\n - If valid, upsert the document under `{code, version}`.\n - Invalidate or refresh the cache entry for that `{code, version}`.\n \n2. **Retrieve a WorkflowDefinition:**\n - **Request:** Provide `code` and `version`.\n - **Process:** \n - Check the cache first. If present, return immediately.\n - If not in cache, fetch from NoSQL, store in cache, then return.\n \n3. **List Definitions (Optional):**\n - **Request:** Optional filters (by `code` or partial `name`).\n - **Process:** Use secondary indexes to find documents. Cache results if needed.\n\n## Caching Strategy\n\n- **Cache as Read-Through:**\n - On retrieval:\n - Check cache for `{code, version}`.\n - If not found, read from NoSQL and populate the cache.\n \n- **TTL and Invalidation:**\n - Set a Time-to-Live (TTL) for cached definitions if workflow definitions can change frequently.\n - On workflow definition update, explicitly invalidate or update the cache entry.\n\n- **High Cache Hit Ratio:**\n - Most workflow definitions may change infrequently, so caching them long-term is beneficial.\n - The executor will often request the same definition multiple times, increasing cache effectiveness.\n\n## Security and Access Control\n\n- **Write Operations Restricted:**\n Only authorized services or admin interfaces can create or update workflow definitions.\n \n- **Read Operations Broadly Available:**\n Execution services that need to read definitions should be authorized, but generally have wider read access.\n \n- **Transport Layer Security:**\n Use TLS/SSL for connections to both the NoSQL database and the cache if not co-located or if network security requires it.\n\n## Scalability and Availability\n\n- **Horizontal Scaling:**\n NoSQL stores are designed to scale horizontally. If usage grows, add more shards or nodes.\n\n- **Backup and Versioning:**\n Regular backups ensure that historical workflow definitions can be restored if needed. Version fields allow multiple definitions to coexist without overwriting each other.\n\n## Resulting context\n\nA NoSQL-based backing strategy with strict schema validation and an in-memory cache layer provides a robust solution for persisting `WorkflowDefinition` objects. This approach ensures:\n\n- High reliability due to validation and versioning.\n- High performance through caching and direct-key lookups.\n- Easy adaptability as workflow structures evolve.\n\nBy following these guidelines, the workflow engine maintains efficiency, correctness, and scalability in production environments.\n\n---\n---\n","filename":"14 - workflowDefinitionbackingstrategy.md","format":"Markdown","order":13,"title":""},{"content":"## ExecutionContext\n\n### Key Responsibilities:\n\nTrack the currentState of the workflow instance.\nMaintain variables that represent dynamic data (e.g., user inputs, task outputs).\nProvide methods to get and set variables and update the current state.\nOptionally store metadata such as instance ID, start time, last updated time, and execution status (e.g., RUNNING, PAUSED, COMPLETED).\n\n\n\n**Notes:**\n\n- instanceId uniquely identifies this particular workflow run.\nvariables hold any key-value data necessary for tasks or decisions.\n- status tracks whether the workflow instance is active, paused, completed, or encountered an error.\n- lastUpdatedTime can be used for auditing, timeouts, or cleanup policies.\n\n# ExecutionContext Design\n\nThe `ExecutionContext` holds the runtime data for a single workflow instance. It tracks the current state of the workflow, runtime variables, and execution status, allowing the `WorkflowExecutor` to read and update information as the workflow progresses.\n\n## Attributes\n\n| Attribute | Type | Description |\n|-----------------|----------------------|----------------------------------------------------------------------|\n| `instanceId` | String | Unique identifier for this workflow instance, used as a key to retrieve and store its state. |\n| `workflowCode` | String | Unique identifier for the workflow. |\n| `version` | String | workflow version being used |\n| `currentState` | State | The workflow state the instance is currently in. |\n| `variables` | Map | Runtime data required by tasks, decisions, or other nodes. Key-value pairs representing dynamic information. |\n| `status` | ExecutionStatus | The current execution status (e.g., RUNNING, PAUSED, COMPLETED, FAILED). |\n| `lastUpdatedTime` | DateTime | Timestamp of the last update to this context, useful for auditing, timeouts, or cleaning up stale instances. |\n\n**Enum: ExecutionStatus**\n- **RUNNING:** The workflow instance is actively progressing.\n- **PAUSED:** The workflow instance is paused, awaiting an external signal or condition.\n- **COMPLETED:** The workflow instance has reached its stop state and is finished.\n- **FAILED:** The workflow instance encountered an error that prevented further progress.\n\n## Methods\n\n| Method | Return Type | Description |\n|------------------------------------------|-------------|---------------------------------------------------------------|\n| `getInstanceId()` | String | Returns the unique `instanceId` of this workflow instance. |\n| `getCurrentState()` | State | Retrieves the current `State` object the instance is in. |\n| `setCurrentState(state: State)` | void | Updates the `currentState` to a new `State`. |\n| `getVariable(key: String)` | Object | Fetches the value of a variable by its key. Returns `null` if not found. |\n| `setVariable(key: String, value: Object)`| void | Updates or creates a variable in the `variables` map. |\n| `getStatus()` | ExecutionStatus | Retrieves the current execution status. |\n| `setStatus(status: ExecutionStatus)` | void | Sets the `status` of the workflow instance (e.g., mark as COMPLETED). |\n| `getLastUpdatedTime()` | DateTime | Returns the timestamp of the last update made to the context. |\n| `setLastUpdatedTime(time: DateTime)` | void | Updates the `lastUpdatedTime`, typically called after every modification. |\n\n## Backing Strategy Summary\n\n- **In-Memory + Distributed Cache:** \n Store `ExecutionContext` primarily in memory and replicated to a distributed cache (e.g., Redis) for quick access and failover. \n- **Optional Persistent Storage:** \n For long-running workflows or regulatory requirements, periodically persist snapshots to a NoSQL or relational store. \n- **Resilience and Failover:** \n If a node fails, another node can load the `ExecutionContext` from the distributed cache or persistence layer using `instanceId`. \n- **Scalability and Performance:** \n By keeping the `ExecutionContext` close to the execution environment (in-memory, cached), reads and writes are fast. The distributed cache ensures horizontal scalability and fault tolerance.\n \n \n","filename":"15 - ExcutionContext.md","format":"Markdown","order":14,"title":""},{"content":"## Backing Strategy for ExecutionContext\nThe ExecutionContext is dynamic and potentially short-lived. It can be updated multiple times per second as tasks complete, decisions are made, or external inputs arrive. The backing strategy should focus on performance, resilience, and consistency.\n\n## Recommended Storage Options\n### In-Memory + Distributed Cache (Primary):\n\n- Keep the ExecutionContext in-memory on the node executing the workflow for lightning-fast reads and writes.\n- To achieve resilience and failover, replicate the ExecutionContext state to a distributed cache (e.g., Redis)\n- On failover, another node can fetch the latest ExecutionContext from the distributed cache and resume execution.\n\n### Short-Term Persistence (Secondary):\n\n- If durability beyond in-memory caching is required (e.g., long-running workflows, crash recovery, compliance), consider persisting ExecutionContext snapshots to a NoSQL or relational store.\n- This should be done asynchronously just before UserTask, Checkpoints and flowControl nodes.\n\n\n### NoSQL Document Store (for Extended Durability):\n\nSimilar to WorkflowDefinition, store ExecutionContext as a JSON document keyed by instanceId.\n\n**_This enables:_**\n- Restarting workflow instances after system restarts.\nAuditing and replaying.\n- Handling extremely long-running processes that cannot remain solely in memory.\n\n### Data Model in Backing Store\n\n\n**For In-Memory/Cache:**\n```yml\nKey: instanceId\nValue: Serialized ExecutionContext (JSON or a binary format for faster deserialization). \n```\n\n**For Persistent Storage (Optional):**\n\nDocument structure (JSON):\n\n```json\n{\n \"instanceId\": \"wf-instance-12345\",\n \"currentState\": \"co.abc.ws_prod.leadGenPL.states.2\",\n \"workflowCode\": \"leadGenPL\",\n \"version\": 1\n \"variables\": {\n \"applicant.firstName\": \"John\",\n \"applicant.lastName\": \"Doe\"\n },\n \"status\": \"RUNNING\",\n \"lastUpdatedTime\": \"2024-12-11T10:20:30Z\"\n}\n```\n\n- Index instanceId for quick lookups \n- If querying by workflow code or status is needed, store workflowCode and version in the ExecutionContext and index them too.\n\n### Caching and Lifecycle\n\n#### **Cache-First Access:**\n\n**On each workflow step:**\nWorkflowExecutor retrieves the ExecutionContext from the cache by instanceId.\nUpdates currentState, variables, and status in-memory.\nWrites the updated context back to the cache.\n\n### Periodic or Event-Driven Persistence:\n\nAfter significant changes (e.g., completing a major task or reaching a checkpoint state), asynchronously persist the ExecutionContext to the document store. This reduces write overhead and latency at runtime.\n\n### Eviction and TTL:\n\n- Use Time-to-Live (TTL) policies in the distributed cache. If the workflow is inactive for a certain period, evict it from the cache to free memory.\n- Before eviction, ensure the ExecutionContext is safely persisted in the backing store.\n\n### Scalability and High Availability\n\n- **Horizontal Scaling:** Multiple workflow execution instances share the same distributed cache and persistent storage. Any node can resume execution if the current node fails, simply by fetching the ExecutionContext from the cache or store.\n\n- **Load Balancing:** Distribute workflow instances across multiple execution nodes. Each node keeps active contexts in local memory and a distributed cache for redundancy.\n\n- **Recovery and Restart:** If a node crashes mid-execution:\nAnother node retrieves the latest ExecutionContext from the distributed cache or persistent store.\nResumes execution without losing data.\n\n\n### Example Lifecycle\n\n","filename":"16 - ExecutionContextBackingStrategy.md","format":"Markdown","order":15,"title":""},{"content":"## WorkflowExecutor Design (Sequential Execution)\n\n## Overview\n\nThe `WorkflowExecutor` is responsible for advancing a workflow instance through its states and nodes, using the static `WorkflowDefinition` as a guide and the `ExecutionContext` as its dynamic runtime state holder. For each step, it:\n\n1. Identifies the next node based on the current state.\n2. Executes the node’s logic (tasks or decisions).\n3. Updates the `ExecutionContext` (e.g., transitioning to the next state, setting variables).\n4. Continues until the workflow reaches the `stopState` or encounters an error.\n\nAt this stage, we’re not considering parallel executions or fork/join nodes—only a straightforward linear progression.\n\n\n\n**Attributes**\n\n|Attribute\t| Type\t| Description|\n|-----| ----- | ------ |\n| `workflowDefinition` | WorkflowDefinition |\tThe static, pre-validated definition of the workflow being executed. |\n| `executionContext`| ExecutionContext |\tThe dynamic state for the current workflow instance, including current state and variables. |\n| `taskExecutor` | TaskExecutor |\tUsed to run tasks defined by TaskNodes. |\n\n**Methods**\n| Method |\tReturn Type |\tDescription |\n| --- |\t--- |\t--- |\n| `start()`\t| void |\tInitializes execution by setting the ExecutionContext to the startState of the WorkflowDefinition and then calling executeNext().|\n| `executeNext()`\t| void | Looks up the next Node from the current State using workflowDefinition.getNextNode(currentState), then calls handleNode(node). If no next node, checks if STOP state is reached and finalizes the workflow. |\n| `handleNode(node: Node)` | void | Dispatches logic based on node type: if TASK, calls handleTaskNode(node), if flow control, calls handleFlowControlNode(node). |\n| `handleTaskNode(node: TaskNode)` |\tvoid |Checks entryCriteria, executes the task via taskExecutor.executeTask(), applies exitCriteria, sets executionContext.currentState to node.toState, and calls executeNext() again. |\n| `handleFlowControlNode(node: FlowControlNode)` | \tvoid | Evaluates transitions to determine which toState to move to, sets executionContext.currentState accordingly, and calls executeNext(). |\n| `finalizeWorkflow()` | \tvoid | Sets the executionContext.status to COMPLETED if stopState is reached, persists final state if necessary, and ends execution. |","filename":"17 - WorkflowExecutor.md","format":"Markdown","order":16,"title":""}]},"id":"41","location":"Unspecified","name":"3. Workflow Engine","properties":{"structurizr.dsl.identifier":"workflowconfig"},"tags":"Element,Software 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","name":"images/DialectDomainEntities.png","type":"image/png"},{"content":"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","name":"images/TaskExecutorDomainModel.png","type":"image/png"}],"sections":[{"content":"# Problem Statement: Dialect Layer\n\n## Background\nModern low-code platforms aim to enable dynamic behavior through configuration rather than code. As a result, systems such as:\n\n- Workflow engines\n- UI form builders\n- Rule engines\n- Integration orchestrators\n\n...all need to operate on a **shared and well-defined domain model**. However, in most implementations:\n\n- Each engine defines its own interpretation of the domain (e.g., field names, validation rules)\n- There's **inconsistent behavior** between workflow, UI, and integration logic\n- There's **tight coupling** between backend logic and configuration artifacts\n\nThis makes the system brittle, hard to extend, and difficult to maintain across multiple domains (LOS, CLM, CRM, etc.).\n\n## Problem\nThere is no **central contract** or abstraction that governs the semantics of field data, task execution, or module-level interactions in a consistent and reusable manner.\n\n### Challenges\n- **Lack of Field Unification**: No shared model for fields across UI, backend, and workflow\n- **Hard-coded Logic**: Module behavior is not decoupled from the field context\n- **Validation Drift**: Validations differ between UI and workflow layers\n- **Runtime Inconsistency**: Same input may behave differently across workflows or forms\n- **Poor Observability & Testing**: Difficult to validate config correctness pre-runtime\n\n### Visual Representation of the Problem\n\n```puml\n@startuml\nleft to right direction\nskinparam packageStyle rectangle\n\npackage \"UI Engine\" {\n class UIFormRenderer\n UIFormRenderer --> Field1\n UIFormRenderer --> Field2\n}\n\npackage \"Workflow Engine\" {\n class WorkflowTaskExecutor\n WorkflowTaskExecutor --> Field1\n WorkflowTaskExecutor --> Field3\n}\n\npackage \"Rule Engine\" {\n class RuleEvaluator\n RuleEvaluator --> Field2\n RuleEvaluator --> Field3\n}\n\npackage \"Backend Services\" {\n class ModuleTask\n ModuleTask --> Field1\n ModuleTask --> Field4\n}\n\nnote right of ModuleTask\n No shared dictionary,\n inconsistent behavior,\n duplicated logic.\nend note\n@enduml\n```\n\n## Abstract Solution\n\nIntroduce a **Dialect Layer** that acts as a configuration backbone for field definitions, module task semantics, and runtime data interpretation.\n\n### This Layer Provides:\n- A centralized **domain dictionary** of all fields, with hierarchy and metadata\n- Declarative **module task templates** with validated input/output structure\n- Runtime abstraction called `DialectContext` to bind configuration and execution\n- Support for building, validating, and executing runtime data with minimal coupling\n- A reusable SPI (`dialect-spi`) that powers multiple engines (Workflow, UI, Rules)\n\nThis will ensure:\n- Consistency across all execution layers\n- Reduced duplication of logic across subsystems\n- Better testability, reuse, and domain-driven extensibility\n\n\n","filename":"01 - Problem Context.md","format":"Markdown","order":1,"title":""},{"content":"## High-Level Design: Dialect Framework\n\n### Why This Layer Is Critical\n\nThe **Dialect Layer** acts as the central modeling and execution glue that binds together several dynamic, configuration-driven components in a low-code or no-code enterprise platform. It forms the **foundation of configuration intelligence** that can drive multiple engines consistently:\n\n- **Workflow Configurator**: Allows each node or transition to be mapped to reusable, validated module tasks.\n- **Rule Engine**: Leverages dictionary-backed fields and FQDN-based targeting to evaluate decisions.\n- **UI Configurator**: Provides input/output field metadata to dynamically render forms and validations.\n- **Data Exchange & API Orchestration**: Standardizes communication between systems using module tasks and query-bound fields.\n\nBy abstracting out field definitions, modular tasks, and data access into a coherent **DialectContext**, this layer enables runtime validation, configuration-driven execution, and pluggable composition. \n\nEach domain can define its own dialect (e.g., LOS, CLM, CRM) with **independent dictionaries and action registries**, enabling safe extensibility without core changes. \n\n---\n\n### Objective\n\nTo build a modular, extensible, and reusable **Dialect Framework** that provides a core execution engine (workflow, module task, validations) with pluggable configuration (dictionary, actions) and usage orchestration (via APIs, UI configurators, or services).\n\n---\n\n### Architecture Overview\n\nThe architecture is split into two transparent layers:\n\n#### 1. **Core Dialect Framework (Reusable Library / dialect-spi)**\n\nResponsible for execution logic, validation, field resolution, and domain modeling.\n\n#### 2. **Usage Layer (e.g., LOS, CLM, etc.)**\n\nResponsible for configuring dialects, storing definitions (e.g., MongoDB), and exposing API endpoints.\n\n---\n\n### Layer 1: Core Dialect Framework (Module: `dialect-spi`)\n\n#### Key Components\n\n##### 1. `Field`, `BaseField` *(Interface + Impl)*\n\n- Internal modeling abstraction for data hierarchy\n- Supports nesting, collections, and FQDN-based resolution\n\n##### 2. `FieldData`\n\n- Runtime representation of data passed into tasks\n- Exposed to consumers of `DialectContext`\n- Supports FQDN resolution and flat <-> tree transformations\n\n##### 3. `FieldResolver`\n\n- Internal utility to allow lookup of `Field` definitions using FQDN\n\n##### 4. `ModuleTaskTemplate`, `TaskTemplate` *(Interface + Impl)*\n\n- Metadata describing input/output fields for a task\n- Used to drive validation and dynamic configuration\n\n##### 5. `ModuleTask` *(Interface)*\n\n- Executable unit for a module-specific action (implemented by LOB)\n\n##### 6. `Action` *(Functional interface)*\n\n- Functional unit wrapping `ModuleTask` and action logic\n\n##### 7. `DialectContext`\n\n- Bundles `DomainDictionary` and `ActionRegistry`\n- Executes task using `FieldData` and `ModuleTaskTemplate`\n\n##### 8. `FieldValidator`\n\n- Validates incoming data against the dictionary and task templates\n\n##### 9. `PathSegment`, `FqdnParser`, `FieldTreeBuilder`\n\n- Helps interpret and build hierarchical data from FQDN strings\n- Internal helpers for flattening and reconstruction\n\n---\n\n#### PUML - Core Dialect Class Diagramks\n\n```puml\n@startuml CoreDialectClassDiagram\nskinparam classAttributeIconSize 0\n\npackage \"Dialect Core SPI\" {\n\n interface Field\n class BaseField implements Field\n\n class FieldData\n class FieldResolver\n\n interface TaskTemplate\n class ModuleTaskTemplate implements TaskTemplate\n\n interface ModuleTask\n interface Action\n\n class DialectContext\n class FieldValidator\n\n class PathSegment\n class FqdnParser\n class FieldTreeBuilder\n\n note right of Field : <>\n note right of ModuleTask : <>\n note right of Action : <>\n note right of TaskTemplate : <>\n note right of DialectContext : <>\n note right of BaseField : <>\n note right of FieldResolver : <>\n note right of FieldTreeBuilder : <>\n note right of FieldValidator : <>\n}\n\nFieldData --> Field : binds\nFieldResolver --> Field\nModuleTaskTemplate --> TaskTemplate\nModuleTaskTemplate --> Field\nDialectContext --> FieldResolver : resolves\nDialectContext --> Action : invokes\nDialectContext --> FieldValidator : validates\n\n@enduml\n```\n\n---\n\n### Layer 2: Dialect Usage Layer (LOS/CLM/etc.)\n\n#### Components\n\n##### 1. `FieldDefinition`, `FieldDefinitionDocument`\n\n- Raw representation of fields as JSON / MongoDB docs\n\n##### 2. `FieldBuilder`, `FieldDefinitionTreeResolver`\n\n- Builds `Field` hierarchy from JSON field definitions\n\n##### 3. `ActionProvider`, `DictionaryProvider`\n\n- Provider interfaces to fetch templates/actions per dialect\n\n##### 4. `DialectBuilder`\n\n- Creates a `DialectContext` using dictionary + actions\n\n##### 5. `DialectContextDriver`\n\n- Accepts providers + dialect name to build `DialectContext`\n\n##### 6. `DialectContextService`\n\n- Central runtime registry for all dialects\n\n##### 7. `DialectContextConfigurer`\n\n- Each dialect implements this interface to register itself\n\n---\n\n#### PUML - Dialect Config + Usage\n\n```puml\n@startuml DialectUsage\n\npackage \"Dialect Config\" {\n interface DictionaryProvider\n interface ActionProvider\n class FieldDefinition\n class FieldBuilder\n class DialectBuilder\n}\n\npackage \"Dialect Runtime\" {\n class DialectContextDriver\n class DialectContextService\n interface DialectContextConfigurer\n}\n\nDialectContextDriver --> DictionaryProvider\nDialectContextDriver --> ActionProvider\nDialectContextDriver --> DialectBuilder\n\nDialectContextService --> DialectContextConfigurer : \"calls buildContext()\"\nDialectContextService --> DialectContext : \"manages\"\n\nDialectBuilder --> FieldDefinition\nDialectBuilder --> FieldBuilder\n\n@enduml\n```\n\n---\n\n### Future Extensions\n\n#### 🔄 Caching\n\n- LRU cache of FieldResolvers and TaskTemplates\n- TTL-based eviction in multi-tenant environments\n\n#### 📦 Pluggable Storage\n\n- Support MongoDB, SQL, YAML, Redis as dictionary/action stores\n\n#### 🧪 TestKit\n\n- Mockable `DictionaryProvider`, `ActionProvider`\n- DialectContext bootstrap for unit + integration tests\n\n#### 📊 Observability\n\n- Decorator pattern for audit logging\n- Structured logs for task execution and validation failures\n\n---\n\n### Summary Table\n\n| Area | Core Dialect | Usage Layer |\n| ---------------- | --------------------------------- | -------------------------- |\n| Field Model | `Field`, `BaseField` *(internal)* | `FieldDefinition` |\n| Data Binding | `FieldData`, `FqdnParser` | `FieldDefinitionMapper` |\n| Validation | `FieldValidator` | Dialect-specific checks |\n| Execution | `Action`, `ModuleTask` | Custom actions per dialect |\n| Context Assembly | `DialectContext`, `Builder` | `DialectContextDriver` |\n| Bootstrapping | N/A | `DialectContextService` |\n\n---\n\n\n\n","filename":"02 - dialect.md","format":"Markdown","order":2,"title":""},{"content":"# Dialect Core Class Model – Developer Documentation\n\n## Overview\nThe Dialect Core module forms the foundational layer of a platform that needs to configure, resolve, and execute domain-specific logic in a decoupled and extensible manner. This layer abstracts the representation of business entities, the structure of data, and the logic that should be performed on them through a configurable DSL and runtime interface.\n\nIn modern enterprise systems, especially in low-code or domain-driven architectures, it's critical to enable configurability and consistency across execution domains like workflow engines, UI schema generators, and rule engines. The Dialect Core helps standardize and unify these concerns by:\n- Representing core domain models as `Field` objects\n- Registering business logic actions modularly using `Action`\n- Structuring execution logic within a runtime `DialectContext`\n- Supporting computed, derived, and aliased fields using extensible subtypes of `ExtField`\n\nThis design enables dynamic interpretation of input and context, leading to improved reusability and adaptability across various lines of business.\n\n---\n\n## Core Components Explained\n\n\n\n### Dialect\n- **Role**: Acts as a root object for accessing a compiled dialect definition.\n- **Responsibilities**:\n - Exposes the `DomainDictionary` representing the resolved entity structure.\n - Provides access to the `ActionRegistry` containing registered executable units.\n \n- **Key Methods**:\n```java\n+ getDomainDictionary() : DomainDictionary\n+ getActionRegistry() : ActionRegistry\n```\n\n- **Associations**:\n - Holds a composition relationship with both `DomainDictionary` and `ActionRegistry`.\n\n---\n\n### DialectContext\n- **Role**: The runtime container and executor of actions for a given dialect.\n- **Responsibilities**:\n - Validates inputs using dictionary definitions.\n - Delegates execution to a matching `Action` using `FieldData`.\n \n- **Key Method**:\n```java\n+ execute() : FieldData\n```\n\n- **Associations**:\n - Depends on both `DomainDictionary` and `ActionRegistry`.\n\n---\n\n### DialectBuilder\n- **Role**: Responsible for assembling all components and building a `DialectContext`.\n- **Responsibilities**:\n - Accepts and wires in field definitions.\n - Accepts business logic definitions as actions.\n - Resolves and connects entity relationships into a cohesive tree.\n\n- **Key Methods**:\n```java\n+ withField()\n+ withAction()\n+ build() : DialectContext\n```\n\n- **Usage**:\n - Encourages progressive composition, allowing dynamic injection of definitions before building a final context.\n\n---\n\n## Field Hierarchy\n\n### Field (interface)\n- **Role**: Contract defining field-level metadata.\n- **Methods**:\n```java\n+ getName() : String\n+ getFullyQualifiedName() : String\n```\n- **Used by**: Runtime evaluation, input validation, context derivation.\n\n### BaseField\n- **Role**: Represents actual data fields tied to physical entities.\n- **Examples**: \"applicant.name\", \"loan.amount\".\n\n### ExtField\n- **Role**: Represents derived fields not stored in original schema.\n- **Method**:\n```java\n+ getExpression() : String\n```\n- **Examples**: \"netSalary = baseSalary + incentives\", or field aliases for integration.\n\n#### Subtypes of ExtField\n- **Projection**: Allows field redirection or partial expansion.\n- **Alias**: Provides alternate names or localized references.\n- **Calculated**: Derives values using formulaic or DSL-based logic.\n\n---\n\n## Action Components\n\n### Action\n- **Role**: Defines an executable unit of logic in the context of a dialect.\n- **Method**:\n```java\n+ execute(FieldData) : FieldData\n```\n- **Usage**:\n - Can be wired into workflows or triggered manually.\n - Expected to work with strongly typed or dynamically resolved `FieldData`.\n\n### ActionRegistry\n- **Role**: A central index of all registered actions within a dialect.\n- **Methods**:\n```java\n+ register(Action)\n+ get(module, action) : Action\n```\n- **Design Note**:\n - Actions are resolved using a composite key of module + action name.\n\n---\n\n## Configuration-Time Artifacts\n\n### ActionTemplate\n- **Role**: Declares structure and metadata for a task or action during configuration.\n- **Method**:\n```java\n+ getTaskFields() : List\n```\n- **Association**:\n - `ActionTemplate --> Action`: Indicates that a template is the declaration for a runtime action.\n\n- **Design Note**:\n - This class exists only during definition or DSL compilation and is not used during runtime.\n\n---\n\n## Summary\nThe Dialect Core architecture:\n- **Decouples configuration from execution**, enabling modular evolution of runtime behavior.\n- **Supports reuse of entity definitions** and field configurations across modules.\n- **Simplifies registration of actions and task definitions** through builder patterns and registries.\n- **Encourages extension and specialization** using subtypes of `Field` to model business-specific semantics.\n\nThis core module acts as the backbone for DSL interpreters, configuration panels, workflow orchestration tools, and even runtime validation layers, offering a single source of truth for field and task metadata.\n\nFuture enhancements may include:\n- Versioning of dialects\n- Field validation schemas\n- Plugin architecture for third-party actions or DSL expressions\n\n--- \n","filename":"03 - DailectDomainModel.md","format":"Markdown","order":3,"title":""},{"content":"## TaskExecutor - Component Design Overview\n\n### Purpose\n\nThe `TaskExecutor` class provides a reusable, centralized utility to execute tasks in a system built on the Dialect framework. Its goal is to minimize boilerplate code and standardize how module tasks are retrieved, validated, and executed.\n\nThis pattern is especially useful in applications where:\n- Tasks are defined and stored externally (e.g., in MongoDB).\n- Execution logic is centralized via `DialectContext`.\n- Reusability and maintainability are desired for services and controllers.\n\n---\n\n### UML Diagram\n\n\n---\n\n### Component Breakdown\n\n#### 1. `TaskExecutor`\n- **Purpose**: Wrapper to handle fetching of templates and calling `DialectContext.execute`.\n- **Responsibilities**:\n - Accepts task name and input (`FieldData`).\n - Fetches and caches `ModuleTaskTemplate`.\n - Logs and validates task existence.\n - Executes logic via `DialectContext`.\n\n#### 2. `DialectContext`\n- Executes the task with `FieldData` input.\n- Resolves actions based on the task template.\n\n#### 3. `TemplateFetcher` (Functional Interface)\n- Accepts a task name and returns `ModuleTaskTemplateDocument`.\n- Can be implemented using a database fetcher like MongoDB.\n\n#### 4. `ModuleTaskTemplateProvider`\n- Abstraction for converting `ModuleTaskTemplateDocument` to in-memory `ModuleTaskTemplate`.\n- Implementation to be provided by platform/LOB team (e.g., `MongoModuleTaskTemplateProvider`).\n\n#### 5. `templateRegistry`\n- A simple in-memory map used to cache resolved templates for performance.\n\n---\n\n### Recommendations\n\n#### MongoDB Fetcher Example\n```java\npublic class MongoTaskTemplateFetcher implements Function {\n private final MongoClient client;\n\n public MongoTaskTemplateFetcher(MongoClient client) {\n this.client = client;\n }\n\n @Override\n public ModuleTaskTemplateDocument apply(String taskName) {\n return client.fetchTaskTemplate(taskName); // Implement as per your DAO\n }\n}\n```\n\n#### Best Practices\n- Introduce a TTL mechanism for long-running services.\n- Use structured logging in `execute()`.\n- Implement observability for slow fetches or errors.\n- Wrap exceptions for better fault isolation.\n\n---\n\n### Usage Example\n```java\nFieldData request = FieldDataFactory.from(applicationRequest);\n\nTaskExecutor executor = new TaskExecutor(\n losDialectContext,\n mongoClient::fetchTaskTemplate,\n new MongoModuleTaskTemplateProvider()\n);\n\nFieldData result = executor.execute(\"create-application\", request);\n```\n","filename":"04 - TaskExecutor.md","format":"Markdown","order":4,"title":""},{"content":"\n# High-Level Design: Query Execution in Dialect System\n\n## 1. Overview\nThe Query Execution framework enables the Dialect system to dynamically resolve and fetch data required for a task (e.g., User Task) based on fields involved. Each field in the Domain Dictionary can optionally be associated with a `queryId`, which refers to a pre-defined `QueryTemplate`.\n\nThis mechanism ensures:\n- **Decoupling** of query logic from workflow logic.\n- **Composability**, where multiple fields can map to a single query.\n- **Extensibility** via QueryTemplateProvider and QueryExecutor.\n\n---\n\n\n\n## 2. Key Components\n\n\n\n### 2.1 ModuleTaskTemplate\n- Defines a list of input fields (FQDN).\n- Used to determine which data must be queried.\n\n### 2.2 DomainDictionary\n- Resolves each FQDN to its corresponding `Field`.\n- Each `Field` may have an associated `queryId`.\n\n### 2.3 QueryCompositionEngine\n- **Inputs**: `ModuleTaskTemplate`, `DomainDictionary`\n- **Output**: Map of `queryId` → List of fields\n- **Responsibility**: Composes the query needs by grouping fields based on their queryId.\n\n### 2.4 QueryTemplateProvider\n- Fetches a `QueryTemplate` for a given queryId.\n- Implementations: MongoDB, in-memory, REST, etc.\n\n### 2.5 QueryTemplate\n- Structure describing how to call a query endpoint.\n- Includes:\n - queryId\n - url\n - httpMethod (GET, POST, etc.)\n - headers (optional)\n - requestFields (subset of FieldData)\n - responseFields (flat FQDN fields expected)\n\n### 2.6 QueryExecutor\n- Executes a `QueryTemplate` using input data.\n- Delegates REST API calling, header injection, body formation, and response parsing.\n\n### 2.7 QueryRunner\n- Entry point for executing all queries required for a given task.\n- Steps:\n 1. Extract input fields from `ModuleTaskTemplate`.\n 2. Use `DomainDictionary` to find all `queryId`s.\n 3. Use `QueryCompositionEngine` to group fields by queryId.\n 4. For each queryId:\n - Get `QueryTemplate` using `QueryTemplateProvider`.\n - Prepare request data subset.\n - Use `QueryExecutor` to fire the query.\n - Merge results back into a single `FieldData` response.\n\n---\n\n## 3. Execution Flow\n\n1. **Task Execution Begins**\n - `TaskExecutor` receives input.\n - It delegates query fetching to `QueryRunner`.\n\n2. **Query Identification**\n - For each task field, dictionary is used to identify if there's a `queryId`.\n\n3. **Query Composition**\n - Fields are grouped under corresponding queryId.\n\n4. **Query Execution**\n - For each queryId:\n - Fetch query template\n - Extract request field values\n - Fire HTTP call\n - Capture and flatten response\n\n5. **FieldData Enrichment**\n - All responses are flattened and merged into a single FieldData.\n\n---\n\n## 4. Benefits\n- Supports dynamic querying without tightly coupling query logic.\n- Enables reusability of queries across multiple fields.\n- Easy to extend for new query providers or templates.\n\n---\n\n\n\n---\n\n## 6. Example `QueryTemplate` JSON\n```json\n{\n \"queryId\": \"getApplicantById\",\n \"url\": \"https://service/api/applicant\",\n \"method\": \"GET\",\n \"headers\": {\n \"Authorization\": \"Bearer ${token}\"\n },\n \"requestFields\": [\"application.applicants[0].applicantId\"],\n \"responseFields\": [\n \"application.applicants[0].name\",\n \"application.applicants[0].age\",\n \"application.applicants[0].contacts[0].type\",\n \"application.applicants[0].contacts[0].value\"\n ]\n}\n```\n\n\n## 7. Summary\nThis module introduces a powerful abstraction for field-bound data retrieval in a dialect-driven ecosystem, enabling seamless integration with REST APIs based on field definitions and task metadata.\n","filename":"05 - QueryExecutor.md","format":"Markdown","order":5,"title":""}]},"id":"42","location":"Unspecified","name":"4. Dialect","properties":{"structurizr.dsl.identifier":"dialect"},"tags":"Element,Software System"},{"description":"Rule designer will be used to configure the rules independently for a product","documentation":{"sections":[{"content":"## Development Plan\n\n**Phase 1 Deadline**: August 30, 2025 (Core Functionality)\n**Phase 2 Deadline**: September 10, 2025 (Full Featured)\n\n### Phase 1: Core Release (August 30, 2025)\n\n_Working rule designer with essential features_\n\n| Task | Duration | Description |\n| --------------------------- | --------------- | ------------------------------------------------------------------------------------------------------ |\n| Project setup | Aug 4 - Aug 4 | Next.js 15 project initialization and configuration |\n| Foundation & Core Logic | Aug 4 - Aug 6 | Rule types, operators, validation constants, contexts, rule validation utilities, rule execution logic |\n| ExpressionBuilder | Aug 7 - Aug 12 | Reusable ExpressionBuilder component (foundation for conditions and actions) |\n| ConditionGroupBuilder | Aug 13 - Aug 14 | Nested condition system with ConditionBuilder components using ExpressionBuilder |\n| RulesetEditor Layout | Aug 18 - Aug 19 | Main RulesetEditor container and basic Ruleset management |\n| RuleBuilder Container | Aug 20 - Aug 21 | Primary RuleBuilder component with nested ConditionGroupBuilder and ActionBuilder |\n| ActionBuilder System | Aug 22 - Aug 23 | Action definition system with ExpressionBuilder integration for dynamic actions |\n| API Integration | Aug 26 - Aug 28 | Essential CRUD endpoints, execution service, rule validation APIs |\n| Custom hooks & Interactions | Aug 28 - Aug 29 | useRuleValidation, useDragAndDrop, useRuleExecution, rule interaction hooks |\n| Core Integration & Testing | Aug 29 - Aug 30 | Integration of all core components and basic testing |\n\n### Phase 2: Enhanced Release (September 10, 2025)\n\n_Full-featured rule designer with advanced capabilities_\n\n| Task | Duration | Description |\n| ----------------------- | -------------- | -------------------------------------------------------------------- |\n| Ruleset Management | Sep 2 - Sep 3 | RulesetList, RulesetCard, Pagination, VersionSelector, Search/Filter |\n| Import/Export Functions | Sep 4 - Sep 6 | Rule export/import utilities, functions, and APIs |\n| INPUT/VARIABLES/OUTPUT | Sep 8 - Sep 9 | INPUT (Facts), VARIABLES, and OUTPUT (Resultset) panel components |\n| Polish and Enhancement | Sep 9 - Sep 10 | Performance optimization, accessibility and UI polish |\n","filename":"01 - Planning.md","format":"Markdown","order":1,"title":""}]},"id":"43","location":"Unspecified","name":"5. Rule Designer","properties":{"structurizr.dsl.identifier":"ruleconfigurator"},"tags":"Element,Software System,system"},{"description":"Module configurator are used to configure the modules for a product like KYC, Amort, etc.","documentation":{},"id":"44","location":"Unspecified","name":"6. Module Configurator","properties":{"structurizr.dsl.identifier":"moduleconfigurator"},"tags":"Element,Software System,system"}]},"name":"product-configurators","properties":{"structurizr.dsl":"workspace "product-configurators" {

    model {
        implementationUser = person "ImplementationUser" "The User responsible to configure the system" 
        productConfig = softwareSystem "1-Product Configurator" "The product configurator is the top level system that will help us to configure the product all the essential capabilities of the configurator will be part of the product configurator" "system" {
            !docs docs
            configUI = container productConfigurationManagementUI "The user interface for the product configurator use to configure the overall product." "React" "REACT" {
                workspaceManagement = component "workspaceManagement" "This Component is responsible for configuration of a page."
                ruleConfigUI = component "Rule Management" "This Component is responsible for managing the rules defined in the workspace"
                moduleConfigUI = component "Module Management" "this UI component is responsible for managing different Modules"
                flowConfigurator = component "Flow Management" "this UI component is responsible for defining and configuring the workflow"
                pageConfigUI = component "pageConfigUI" "This Component is responsible to managing a workspace."
                referenceDataProvider = component "referenceDataProvider" "This module will be responsible for providing the reference data to different configurations"
                workspaceManagement -> referenceDataProvider "fetches data From"
                ruleConfigUI -> referenceDataProvider "fetches data From"
                moduleConfigUI -> referenceDataProvider "fetches data From"
                flowConfigurator -> referenceDataProvider "fetches data From"
            }
            configService = container configurationManagementService "this service will be responsible to manage the configuration of a Product, Module, workspace and execution environment" "NodeJS" "NODE_SERVICE" {
                configServiceRestPort = component "Rest Controller port" "This is the component exposing the REST endpoints for the managing the configurations"
                DSLInterpreter = component "DSL Interpreter" "This is the grammar parser for the DSLs"
                configManager = component "Config Manager" "This component is responsible for managing the configurations saved by the user"
                audit = component "Audit capability" "This component will be responsible for handling and managing the audit events"
                configServiceRestPort -> configManager "calls"
                configManager -> DSLInterpreter "calls"
                audit -> configManager "observes"
                
            }
            productCofigDB = container productConfigDataBase "Postgres relational database to store the configurations and product, all the masters and configuration data should be stored" "PostgresDB" "RELATIONAL"
            configStore = container productConfigurationStore "mongo database storing the configurations JSON for the modules." "MongoDB" "NOSQL"
            configUI -> configService "calls" "REST: HTTP/JSON" "REST"
            configService -> productCofigDB "writes to/reads from" "Connection Pool" "DATA"
            configService -> configStore "writes to/reads from" "Connection Pool" "DATA"

            ### component interactions 
            ruleConfigUI -> configServiceRestPort "calls" "HTTP/JSON" "REST"
            pageConfigUI -> configServiceRestPort "calls" "HTTP/JSON" "REST"
            workspaceManagement -> configServiceRestPort "calls" "HTTP/JSON" "REST"
            moduleConfigUI -> configServiceRestPort "calls" "HTTP/JSON" "REST"
            flowConfigurator -> configServiceRestPort "calls" "HTTP/JSON" "REST"
            configManager -> productCofigDB "writes to/reads from" "Connection Pool" "DATA"
            configManager -> configStore "writes to/reads from" "Connection Pool" "DATA"
        }
        
        uiConfig  = softwareSystem "2. UI Configurator" "UI Configurator is used to configure and render the User interface" "system"{
           !docs docs/ui-configurator
        }

        workflowConfig  = softwareSystem "3. Workflow Engine" "Workflow configurator will be used to configure a fresh workflow for a product" "system"{
            !docs docs/workflow-Engine
        }

        dialect = softwareSystem "4. Dialect" {
            !docs docs/dialect
        }

        ruleConfigurator  = softwareSystem "5. Rule Designer" "Rule designer will be used to configure the rules independently for a product" "system"{
           !docs docs/rule-designer
        }

        moduleConfigurator  = softwareSystem "6. Module Configurator" "Module configurator are used to configure the modules for a product like KYC, Amort, etc." "system"{
//            !docs docs/module-configurator
        }


        implementationUser -> configUI "interacts with"
    }

    views {

        systemLandscape {
            include productConfig implementationUser
            autoLayout 
        }

        systemContext "productConfig" {
            include *
            autoLayout
        } 

        

        container "productConfig" {
            include *
            autoLayout
        }

        component "configUI" {
            include *
            autoLayout
        }

        component "configService" {
            include *
            autoLayout
        }

        // Dynamic flows for separate CRUD operations on Module Configuration

        dynamic productConfig "createModuleConfig" "Create Module Configuration" {
            description "This flow represents the creation of a module configuration, including all validations in a single API call."

            // Step 1: Validation and Creation
            configUI -> configService "Sends module configuration data using POST /module-config"
            
            // Internal Validations
            configService -> productCofigDB "Validates tenant-product offering (e.g., LMS assignment)"
            configService -> productCofigDB "Checks if the module and version is unique for the product offering"
            configService -> productCofigDB "Validates configuration JSON against schema"
            configService -> productCofigDB "Validates tenant status and product offering expiry"
            
            // Step 2: Persist Data
            configService -> productCofigDB "Stores module metadata (name, version, tenant details)"
            configService -> configStore "Stores module configuration JSON into Mongodb"

            configService -> configUI "Sends the success response"
            
        }

        dynamic productConfig "viewModuleConfig" "Read Module Configuration" {
            description "This flow represents the retrieval of a module configuration"

            // Step 1: Validation and Read
            configUI -> configService "Requests module configuration details using"

            // Step 2: Fetch Data
            configService -> productCofigDB "Fetches module metadata (name, version)"
            configService -> configStore "Fetches module configuration JSON"

            configService -> configUI "Sends the response with the module configuration"

            autoLayout
        }

        dynamic productConfig "updateModuleConfig" "Update Module Configuration" {
            description "This flow represents the update of a module configuration with validations"

            // Step 1: Validation and Update
            configUI -> configService "Sends updated module configuration data"
            
            // Internal Validations
            configService -> productCofigDB "Validates module existence and tenant-product offering link"
            configService -> productCofigDB "Checks if the new version is valid"
            configService -> configStore "Validates updated configuration JSON against schema"
            configService -> productCofigDB "Validates tenant status and active product offering"

            // Step 2: Update Data
            configService -> productCofigDB "Updates module metadata (name, version), also marks old row inactive and add new version"
            configService -> configStore "Updates module configuration JSON"

            configService -> configUI "Sends the success response"
            autoLayout
        }

        dynamic productConfig "deleteModuleConfig" "Delete Module Configuration" {
            description "This flow represents the deletion of a module configuration"

            // Step 1: Validation and Deletion
            configUI -> configService "Requests deletion of module configuration"
            
            // Internal Validations
            configService -> productCofigDB "Validates module existence"
            configService -> productCofigDB "Validates module is not in active use (workflows or execution environments)"

            // Step 2: Delete Data
            configService -> productCofigDB "Deletes module metadata (name, version)"
            configService -> configStore "Deletes module configuration JSON"

            configService -> configUI "Sends the success response"

            autoLayout
        }

        styles {
            element "Element" {
                color #ffffff
            }
            element "Person" {
                background #741eba
                shape person
            }
            element "Software System" {
                background #8723d9
            }
            element "Container" {
                background #9a28f8
            }
            element "Component" {
                background #9a28f8
                stroke #ECE5F2
                color #ECE5F2
                shape component
            }
            element "RELDB" {
                shape cylinder
                background #9a28f8
            }

            element "REACT" {
                shape webbrowser
                icon 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"
                color #7466DD
                background #E0D6E8
            }

            element "NODE_SERVICE" {
                shape hexagon
                color #7466DD
                background #E0D6E8
            }

            element RELATIONAL {
                shape cylinder
                color #7466DD
                background #E0D6E8

            }

            element NOSQL {
                shape cylinder
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                color #7466DD
                background #E0D6E8
            }

            relationship REST {
                color #000000
                dashed false
            }

            relationship DATA {
                color #28189E
                dashed false
            }
        }
    }
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