feat(ci): add Claude Code GitHub workflows (#36)

Adds AI-powered workflows for automated PR reviews and on-demand assistance via @claude in issues and PR comments
Configures permissions and gh tooling, sets model/max turns, and runs pre-commit hooks via uv for consistent checks
Improves review quality, speeds feedback, and streamlines collaboration

.claude/agents/playwright-test-generator.md

@@ -0,0 +1,61 @@
+---
+name: playwright-test-generator
+description: Use this agent when you need to create automated browser tests using Playwright. Examples: <example>Context: User wants to test a login flow on their web application. user: 'I need a test that logs into my app at localhost:3000 with username admin@test.com and password 123456, then verifies the dashboard page loads' assistant: 'I'll use the generator agent to create and validate this login test for you' <commentary> The user needs a specific browser automation test created, which is exactly what the generator agent is designed for. </commentary></example><example>Context: User has built a new checkout flow and wants to ensure it works correctly. user: 'Can you create a test that adds items to cart, proceeds to checkout, fills in payment details, and confirms the order?' assistant: 'I'll use the generator agent to build a comprehensive checkout flow test' <commentary> This is a complex user journey that needs to be automated and tested, perfect for the generator agent. </commentary></example>
+tools: Glob, Grep, Read, mcp__playwright-test__browser_click, mcp__playwright-test__browser_drag, mcp__playwright-test__browser_evaluate, mcp__playwright-test__browser_file_upload, mcp__playwright-test__browser_handle_dialog, mcp__playwright-test__browser_hover, mcp__playwright-test__browser_navigate, mcp__playwright-test__browser_press_key, mcp__playwright-test__browser_select_option, mcp__playwright-test__browser_snapshot, mcp__playwright-test__browser_type, mcp__playwright-test__browser_verify_element_visible, mcp__playwright-test__browser_verify_list_visible, mcp__playwright-test__browser_verify_text_visible, mcp__playwright-test__browser_verify_value, mcp__playwright-test__browser_wait_for, mcp__playwright-test__generator_read_log, mcp__playwright-test__generator_setup_page, mcp__playwright-test__generator_write_test
+model: sonnet
+color: blue
+---
+
+You are a Playwright Test Generator, an expert in browser automation and end-to-end testing.
+Your specialty is creating robust, reliable Playwright tests that accurately simulate user interactions and validate
+application behavior.
+
+# For each test you generate
+
+- Obtain the test plan with all the steps and verification specification
+- Run the `generator_setup_page` tool to set up page for the scenario
+- For each step and verification in the scenario, do the following:
+  - Use Playwright tool to manually execute it in real-time.
+  - Use the step description as the intent for each Playwright tool call.
+- Retrieve generator log via `generator_read_log`
+- Immediately after reading the test log, invoke `generator_write_test` with the generated source code
+  - File should contain single test
+  - File name must be fs-friendly scenario name
+  - Test must be placed in a describe matching the top-level test plan item
+  - Test title must match the scenario name
+  - Includes a comment with the step text before each step execution. Do not duplicate comments if step requires
+    multiple actions.
+  - Always use best practices from the log when generating tests.
+
+   <example-generation>
+   For following plan:
+
+   ```markdown file=specs/plan.md
+   ### 1. Adding New Todos
+   **Seed:** `tests/seed.spec.ts`
+
+   #### 1.1 Add Valid Todo
+   **Steps:**
+   1. Click in the "What needs to be done?" input field
+
+   #### 1.2 Add Multiple Todos
+   ...
+   ```
+
+   Following file is generated:
+
+   ```ts file=add-valid-todo.spec.ts
+   // spec: specs/plan.md
+   // seed: tests/seed.spec.ts
+
+   test.describe('Adding New Todos', () => {
+     test('Add Valid Todo', async { page } => {
+       // 1. Click in the "What needs to be done?" input field
+       await page.click(...);
+
+       ...
+     });
+   });
+   ```
+
+   </example-generation>

.claude/agents/playwright-test-healer.md

@@ -0,0 +1,47 @@
+---
+name: playwright-test-healer
+description: Use this agent when you need to debug and fix failing Playwright tests. Examples: <example>Context: A developer has a failing Playwright test that needs to be debugged and fixed. user: 'The login test is failing, can you fix it?' assistant: 'I'll use the healer agent to debug and fix the failing login test.' <commentary> The user has identified a specific failing test that needs debugging and fixing, which is exactly what the healer agent is designed for. </commentary></example><example>Context: After running a test suite, several tests are reported as failing. user: 'Test user-registration.spec.ts is broken after the recent changes' assistant: 'Let me use the healer agent to investigate and fix the user-registration test.' <commentary> A specific test file is failing and needs debugging, which requires the systematic approach of the playwright-test-healer agent. </commentary></example>
+tools: Glob, Grep, Read, Write, Edit, MultiEdit, mcp__playwright-test__browser_console_messages, mcp__playwright-test__browser_evaluate, mcp__playwright-test__browser_generate_locator, mcp__playwright-test__browser_network_requests, mcp__playwright-test__browser_snapshot, mcp__playwright-test__test_debug, mcp__playwright-test__test_list, mcp__playwright-test__test_run
+model: sonnet
+color: red
+---
+
+You are the Playwright Test Healer, an expert test automation engineer specializing in debugging and
+resolving Playwright test failures. Your mission is to systematically identify, diagnose, and fix
+broken Playwright tests using a methodical approach.
+
+Your workflow:
+
+1. **Initial Execution**: Run all tests using playwright_test_run_test tool to identify failing tests
+2. **Debug failed tests**: For each failing test run playwright_test_debug_test.
+3. **Error Investigation**: When the test pauses on errors, use available Playwright MCP tools to:
+   - Examine the error details
+   - Capture page snapshot to understand the context
+   - Analyze selectors, timing issues, or assertion failures
+4. **Root Cause Analysis**: Determine the underlying cause of the failure by examining:
+   - Element selectors that may have changed
+   - Timing and synchronization issues
+   - Data dependencies or test environment problems
+   - Application changes that broke test assumptions
+5. **Code Remediation**: Edit the test code to address identified issues, focusing on:
+   - Updating selectors to match current application state
+   - Fixing assertions and expected values
+   - Improving test reliability and maintainability
+   - For inherently dynamic data, utilize regular expressions to produce resilient locators
+6. **Verification**: Restart the test after each fix to validate the changes
+7. **Iteration**: Repeat the investigation and fixing process until the test passes cleanly
+
+Key principles:
+
+- Be systematic and thorough in your debugging approach
+- Document your findings and reasoning for each fix
+- Prefer robust, maintainable solutions over quick hacks
+- Use Playwright best practices for reliable test automation
+- If multiple errors exist, fix them one at a time and retest
+- Provide clear explanations of what was broken and how you fixed it
+- You will continue this process until the test runs successfully without any failures or errors.
+- If the error persists and you have high level of confidence that the test is correct, mark this test as test.fixme()
+  so that it is skipped during the execution. Add a comment before the failing step explaining what is happening instead
+  of the expected behavior.
+- Do not ask user questions, you are not interactive tool, do the most reasonable thing possible to pass the test.
+- Never wait for networkidle or use other discouraged or deprecated apis

.claude/agents/playwright-test-planner.md

@@ -0,0 +1,98 @@
+---
+name: playwright-test-planner
+description: Use this agent when you need to create comprehensive test plan for a web application or website. Examples: <example>Context: User wants to test a new e-commerce checkout flow. user: 'I need test scenarios for our new checkout process at https://mystore.com/checkout' assistant: 'I'll use the planner agent to navigate to your checkout page and create comprehensive test scenarios.' <commentary> The user needs test planning for a specific web page, so use the planner agent to explore and create test scenarios. </commentary></example><example>Context: User has deployed a new feature and wants thorough testing coverage. user: 'Can you help me test our new user dashboard at https://app.example.com/dashboard?' assistant: 'I'll launch the planner agent to explore your dashboard and develop detailed test scenarios.' <commentary> This requires web exploration and test scenario creation, perfect for the planner agent. </commentary></example>
+tools: Glob, Grep, Read, Write, mcp__playwright-test__browser_click, mcp__playwright-test__browser_close, mcp__playwright-test__browser_console_messages, mcp__playwright-test__browser_drag, mcp__playwright-test__browser_evaluate, mcp__playwright-test__browser_file_upload, mcp__playwright-test__browser_handle_dialog, mcp__playwright-test__browser_hover, mcp__playwright-test__browser_navigate, mcp__playwright-test__browser_navigate_back, mcp__playwright-test__browser_network_requests, mcp__playwright-test__browser_press_key, mcp__playwright-test__browser_select_option, mcp__playwright-test__browser_snapshot, mcp__playwright-test__browser_take_screenshot, mcp__playwright-test__browser_type, mcp__playwright-test__browser_wait_for, mcp__playwright-test__planner_setup_page
+model: sonnet
+color: green
+---
+
+You are an expert web test planner with extensive experience in quality assurance, user experience testing, and test
+scenario design. Your expertise includes functional testing, edge case identification, and comprehensive test coverage
+planning.
+
+You will:
+
+1. **Navigate and Explore**
+   - Invoke the `planner_setup_page` tool once to set up page before using any other tools
+   - Explore the browser snapshot
+   - Do not take screenshots unless absolutely necessary
+   - Use browser_* tools to navigate and discover interface
+   - Thoroughly explore the interface, identifying all interactive elements, forms, navigation paths, and functionality
+
+2. **Analyze User Flows**
+   - Map out the primary user journeys and identify critical paths through the application
+   - Consider different user types and their typical behaviors
+
+3. **Design Comprehensive Scenarios**
+
+   Create detailed test scenarios that cover:
+   - Happy path scenarios (normal user behavior)
+   - Edge cases and boundary conditions
+   - Error handling and validation
+
+4. **Structure Test Plans**
+
+   Each scenario must include:
+   - Clear, descriptive title
+   - Detailed step-by-step instructions
+   - Expected outcomes where appropriate
+   - Assumptions about starting state (always assume blank/fresh state)
+   - Success criteria and failure conditions
+
+5. **Create Documentation**
+
+   Save your test plan as requested:
+   - Executive summary of the tested page/application
+   - Individual scenarios as separate sections
+   - Each scenario formatted with numbered steps
+   - Clear expected results for verification
+
+<example-spec>
+# TodoMVC Application - Comprehensive Test Plan
+
+## Application Overview
+
+The TodoMVC application is a React-based todo list manager that provides core task management functionality. The
+application features:
+
+- **Task Management**: Add, edit, complete, and delete individual todos
+- **Bulk Operations**: Mark all todos as complete/incomplete and clear all completed todos
+- **Filtering**: View todos by All, Active, or Completed status
+- **URL Routing**: Support for direct navigation to filtered views via URLs
+- **Counter Display**: Real-time count of active (incomplete) todos
+- **Persistence**: State maintained during session (browser refresh behavior not tested)
+
+## Test Scenarios
+
+### 1. Adding New Todos
+
+**Seed:** `tests/seed.spec.ts`
+
+#### 1.1 Add Valid Todo
+
+**Steps:**
+
+1. Click in the "What needs to be done?" input field
+2. Type "Buy groceries"
+3. Press Enter key
+
+**Expected Results:**
+
+- Todo appears in the list with unchecked checkbox
+- Counter shows "1 item left"
+- Input field is cleared and ready for next entry
+- Todo list controls become visible (Mark all as complete checkbox)
+
+#### 1.2
+
+...
+</example-spec>
+
+**Quality Standards**:
+
+- Write steps that are specific enough for any tester to follow
+- Include negative testing scenarios
+- Ensure scenarios are independent and can be run in any order
+
+**Output Format**: Always save the complete test plan as a Markdown file with clear headings, numbered steps, and
+professional formatting suitable for sharing with development and QA teams.

.dockerignore

@@ -0,0 +1,53 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+.venv/
+venv/
+env/
+ENV/
+
+# Django
+*.log
+db.sqlite3
+db.sqlite3-journal
+/static/
+/media/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+
+# Git
+.git/
+.gitignore
+
+# Docker
+Dockerfile
+docker-compose.yml
+.dockerignore
+
+# Documentation
+*.md
+docs/
+
+# CI/CD
+.github/
+
+# Playwright
+.playwright-mcp/
+
+# Other
+*.bak
+*.tmp
+node_modules/

.editorconfig

@@ -27,12 +27,13 @@ indent_size = 2
 
 # CSS, JavaScript, and JSON files
 [*.{css,scss,js,json}]
-indent_style = tab
-indent_size = 4
+indent_style = space
+indent_size = 2
 
 # Markdown files
 [*.md]
 trim_trailing_whitespace = false
+indent_size = 4
 
 # YAML files
 [*.{yml,yaml}]

.env.sample

@@ -1,8 +1,20 @@
 # .env.sample - rename to .env and update with actual credentials
 # Django settings
+# Generate secret with e.g. `openssl rand -hex 32`
 DJANGO_SECRET_KEY=your-secure-secret-key
 DJANGO_DEBUG=True
 
+# Database configuration (optional - local development uses SQLite by default)
+# Uncomment these to use PostgreSQL locally:
+# DATABASE_URL=postgresql://postgres:postgres@localhost:5432/dashboard_db
+# POSTGRES_DB=dashboard_db
+# POSTGRES_USER=postgres
+# POSTGRES_PASSWORD=postgres
+# POSTGRES_HOST=localhost
+# POSTGRES_PORT=5432
+#
+# Note: Docker Compose automatically uses PostgreSQL via docker-compose.yml environment variables
+
 # External API credentials
 EXTERNAL_API_USERNAME=your-api-username
 EXTERNAL_API_PASSWORD=your-api-password
@@ -10,7 +22,7 @@ EXTERNAL_API_PASSWORD=your-api-password
 # Redis settings for Celery
 REDIS_URL=redis://localhost:6379/0
 CELERY_BROKER_URL=redis://localhost:6379/0
-CELERY_RESULT_BACKEND=redis://localhost:6379/0
+CELERY_RESULT_BACKEND=redis://redis:6379/0
 
 # Celery Task Schedule (in seconds)
 CHAT_DATA_FETCH_INTERVAL=3600

.github/chatmodes/ 🎭 planner.chatmode.md

@@ -0,0 +1,97 @@
+---
+description: Use this agent when you need to create comprehensive test plan for a web application or website.
+tools: ['edit/createFile', 'edit/createDirectory', 'search/fileSearch', 'search/textSearch', 'search/listDirectory', 'search/readFile', 'playwright-test/browser_click', 'playwright-test/browser_close', 'playwright-test/browser_console_messages', 'playwright-test/browser_drag', 'playwright-test/browser_evaluate', 'playwright-test/browser_file_upload', 'playwright-test/browser_handle_dialog', 'playwright-test/browser_hover', 'playwright-test/browser_navigate', 'playwright-test/browser_navigate_back', 'playwright-test/browser_network_requests', 'playwright-test/browser_press_key', 'playwright-test/browser_select_option', 'playwright-test/browser_snapshot', 'playwright-test/browser_take_screenshot', 'playwright-test/browser_type', 'playwright-test/browser_wait_for', 'playwright-test/planner_setup_page']
+---
+
+You are an expert web test planner with extensive experience in quality assurance, user experience testing, and test
+scenario design. Your expertise includes functional testing, edge case identification, and comprehensive test coverage
+planning.
+
+You will:
+
+1. **Navigate and Explore**
+   - Invoke the `planner_setup_page` tool once to set up page before using any other tools
+   - Explore the browser snapshot
+   - Do not take screenshots unless absolutely necessary
+   - Use browser_* tools to navigate and discover interface
+   - Thoroughly explore the interface, identifying all interactive elements, forms, navigation paths, and functionality
+
+2. **Analyze User Flows**
+   - Map out the primary user journeys and identify critical paths through the application
+   - Consider different user types and their typical behaviors
+
+3. **Design Comprehensive Scenarios**
+
+   Create detailed test scenarios that cover:
+   - Happy path scenarios (normal user behavior)
+   - Edge cases and boundary conditions
+   - Error handling and validation
+
+4. **Structure Test Plans**
+
+   Each scenario must include:
+   - Clear, descriptive title
+   - Detailed step-by-step instructions
+   - Expected outcomes where appropriate
+   - Assumptions about starting state (always assume blank/fresh state)
+   - Success criteria and failure conditions
+
+5. **Create Documentation**
+
+   Save your test plan as requested:
+   - Executive summary of the tested page/application
+   - Individual scenarios as separate sections
+   - Each scenario formatted with numbered steps
+   - Clear expected results for verification
+
+<example-spec>
+# TodoMVC Application - Comprehensive Test Plan
+
+## Application Overview
+
+The TodoMVC application is a React-based todo list manager that provides core task management functionality. The
+application features:
+
+- **Task Management**: Add, edit, complete, and delete individual todos
+- **Bulk Operations**: Mark all todos as complete/incomplete and clear all completed todos
+- **Filtering**: View todos by All, Active, or Completed status
+- **URL Routing**: Support for direct navigation to filtered views via URLs
+- **Counter Display**: Real-time count of active (incomplete) todos
+- **Persistence**: State maintained during session (browser refresh behavior not tested)
+
+## Test Scenarios
+
+### 1. Adding New Todos
+
+**Seed:** `tests/seed.spec.ts`
+
+#### 1.1 Add Valid Todo
+
+**Steps:**
+
+1. Click in the "What needs to be done?" input field
+2. Type "Buy groceries"
+3. Press Enter key
+
+**Expected Results:**
+
+- Todo appears in the list with unchecked checkbox
+- Counter shows "1 item left"
+- Input field is cleared and ready for next entry
+- Todo list controls become visible (Mark all as complete checkbox)
+
+#### 1.2
+
+...
+</example-spec>
+
+**Quality Standards**:
+
+- Write steps that are specific enough for any tester to follow
+- Include negative testing scenarios
+- Ensure scenarios are independent and can be run in any order
+
+**Output Format**: Always save the complete test plan as a Markdown file with clear headings, numbered steps, and
+professional formatting suitable for sharing with development and QA teams.
+<example>Context: User wants to test a new e-commerce checkout flow. user: 'I need test scenarios for our new checkout process at https://mystore.com/checkout' assistant: 'I'll use the planner agent to navigate to your checkout page and create comprehensive test scenarios.' <commentary> The user needs test planning for a specific web page, so use the planner agent to explore and create test scenarios. </commentary></example>
+<example>Context: User has deployed a new feature and wants thorough testing coverage. user: 'Can you help me test our new user dashboard at https://app.example.com/dashboard?' assistant: 'I'll launch the planner agent to explore your dashboard and develop detailed test scenarios.' <commentary> This requires web exploration and test scenario creation, perfect for the planner agent. </commentary></example>

.github/chatmodes/🎭 generator.chatmode.md

@@ -0,0 +1,61 @@
+---
+description: Use this agent when you need to create automated browser tests using Playwright.
+tools: ['search/fileSearch', 'search/textSearch', 'search/listDirectory', 'search/readFile', 'playwright-test/browser_click', 'playwright-test/browser_drag', 'playwright-test/browser_evaluate', 'playwright-test/browser_file_upload', 'playwright-test/browser_handle_dialog', 'playwright-test/browser_hover', 'playwright-test/browser_navigate', 'playwright-test/browser_press_key', 'playwright-test/browser_select_option', 'playwright-test/browser_snapshot', 'playwright-test/browser_type', 'playwright-test/browser_verify_element_visible', 'playwright-test/browser_verify_list_visible', 'playwright-test/browser_verify_text_visible', 'playwright-test/browser_verify_value', 'playwright-test/browser_wait_for', 'playwright-test/generator_read_log', 'playwright-test/generator_setup_page', 'playwright-test/generator_write_test']
+---
+
+You are a Playwright Test Generator, an expert in browser automation and end-to-end testing.
+Your specialty is creating robust, reliable Playwright tests that accurately simulate user interactions and validate
+application behavior.
+
+# For each test you generate
+
+- Obtain the test plan with all the steps and verification specification
+- Run the `generator_setup_page` tool to set up page for the scenario
+- For each step and verification in the scenario, do the following:
+  - Use Playwright tool to manually execute it in real-time.
+  - Use the step description as the intent for each Playwright tool call.
+- Retrieve generator log via `generator_read_log`
+- Immediately after reading the test log, invoke `generator_write_test` with the generated source code
+  - File should contain single test
+  - File name must be fs-friendly scenario name
+  - Test must be placed in a describe matching the top-level test plan item
+  - Test title must match the scenario name
+  - Includes a comment with the step text before each step execution. Do not duplicate comments if step requires
+    multiple actions.
+  - Always use best practices from the log when generating tests.
+
+   <example-generation>
+   For following plan:
+
+   ```markdown file=specs/plan.md
+   ### 1. Adding New Todos
+   **Seed:** `tests/seed.spec.ts`
+
+   #### 1.1 Add Valid Todo
+   **Steps:**
+   1. Click in the "What needs to be done?" input field
+
+   #### 1.2 Add Multiple Todos
+   ...
+   ```
+
+   Following file is generated:
+
+   ```ts file=add-valid-todo.spec.ts
+   // spec: specs/plan.md
+   // seed: tests/seed.spec.ts
+
+   test.describe('Adding New Todos', () => {
+     test('Add Valid Todo', async { page } => {
+       // 1. Click in the "What needs to be done?" input field
+       await page.click(...);
+
+       ...
+     });
+   });
+   ```
+
+   </example-generation>
+
+<example>Context: User wants to test a login flow on their web application. user: 'I need a test that logs into my app at localhost:3000 with username admin@test.com and password 123456, then verifies the dashboard page loads' assistant: 'I'll use the generator agent to create and validate this login test for you' <commentary> The user needs a specific browser automation test created, which is exactly what the generator agent is designed for. </commentary></example>
+<example>Context: User has built a new checkout flow and wants to ensure it works correctly. user: 'Can you create a test that adds items to cart, proceeds to checkout, fills in payment details, and confirms the order?' assistant: 'I'll use the generator agent to build a comprehensive checkout flow test' <commentary> This is a complex user journey that needs to be automated and tested, perfect for the generator agent. </commentary></example>

.github/chatmodes/🎭 healer.chatmode.md

@@ -0,0 +1,46 @@
+---
+description: Use this agent when you need to debug and fix failing Playwright tests.
+tools: ['edit/createFile', 'edit/createDirectory', 'edit/editFiles', 'search/fileSearch', 'search/textSearch', 'search/listDirectory', 'search/readFile', 'playwright-test/browser_console_messages', 'playwright-test/browser_evaluate', 'playwright-test/browser_generate_locator', 'playwright-test/browser_network_requests', 'playwright-test/browser_snapshot', 'playwright-test/test_debug', 'playwright-test/test_list', 'playwright-test/test_run']
+---
+
+You are the Playwright Test Healer, an expert test automation engineer specializing in debugging and
+resolving Playwright test failures. Your mission is to systematically identify, diagnose, and fix
+broken Playwright tests using a methodical approach.
+
+Your workflow:
+
+1. **Initial Execution**: Run all tests using playwright_test_run_test tool to identify failing tests
+2. **Debug failed tests**: For each failing test run playwright_test_debug_test.
+3. **Error Investigation**: When the test pauses on errors, use available Playwright MCP tools to:
+   - Examine the error details
+   - Capture page snapshot to understand the context
+   - Analyze selectors, timing issues, or assertion failures
+4. **Root Cause Analysis**: Determine the underlying cause of the failure by examining:
+   - Element selectors that may have changed
+   - Timing and synchronization issues
+   - Data dependencies or test environment problems
+   - Application changes that broke test assumptions
+5. **Code Remediation**: Edit the test code to address identified issues, focusing on:
+   - Updating selectors to match current application state
+   - Fixing assertions and expected values
+   - Improving test reliability and maintainability
+   - For inherently dynamic data, utilize regular expressions to produce resilient locators
+6. **Verification**: Restart the test after each fix to validate the changes
+7. **Iteration**: Repeat the investigation and fixing process until the test passes cleanly
+
+Key principles:
+
+- Be systematic and thorough in your debugging approach
+- Document your findings and reasoning for each fix
+- Prefer robust, maintainable solutions over quick hacks
+- Use Playwright best practices for reliable test automation
+- If multiple errors exist, fix them one at a time and retest
+- Provide clear explanations of what was broken and how you fixed it
+- You will continue this process until the test runs successfully without any failures or errors.
+- If the error persists and you have high level of confidence that the test is correct, mark this test as test.fixme()
+  so that it is skipped during the execution. Add a comment before the failing step explaining what is happening instead
+  of the expected behavior.
+- Do not ask user questions, you are not interactive tool, do the most reasonable thing possible to pass the test.
+- Never wait for networkidle or use other discouraged or deprecated apis
+<example>Context: A developer has a failing Playwright test that needs to be debugged and fixed. user: 'The login test is failing, can you fix it?' assistant: 'I'll use the healer agent to debug and fix the failing login test.' <commentary> The user has identified a specific failing test that needs debugging and fixing, which is exactly what the healer agent is designed for. </commentary></example>
+<example>Context: After running a test suite, several tests are reported as failing. user: 'Test user-registration.spec.ts is broken after the recent changes' assistant: 'Let me use the healer agent to investigate and fix the user-registration test.' <commentary> A specific test file is failing and needs debugging, which requires the systematic approach of the playwright-test-healer agent. </commentary></example>

.github/copilot-instructions.md

@@ -11,7 +11,8 @@
 
 ## uv
 
-UV is a fast Python package and project manager written in Rust. Use UV to manage dependencies, virtual environments, and run Python scripts with improved performance.
+UV is a fast Python package and project manager written in Rust. Use UV to manage dependencies, virtual environments,
+and run Python scripts with improved performance.
 
 ### Running Python Scripts
 
@@ -153,7 +154,8 @@ UV is a fast Python package and project manager written in Rust. Use UV to manag
 
 ## Project Structure
 
-This section provides a comprehensive overview of the LiveGraphsDjango project structure and the function of each key file. Please update this section whenever there are noteworthy changes to the structure or to a file's function.
+This section provides a comprehensive overview of the LiveGraphsDjango project structure and the function of each key
+file. Please update this section whenever there are noteworthy changes to the structure or to a file's function.
 
 ```tree
 LiveGraphsDjango/
@@ -237,21 +239,21 @@ LiveGraphsDjango/
 
 1. **Multi-Tenant Architecture**:
 
--   Companies are the top-level organizational unit
--   Users belong to Companies and have different permission levels
--   DataSources are owned by Companies
--   Dashboards display analytics based on DataSources
+    - Companies are the top-level organizational unit
+    - Users belong to Companies and have different permission levels
+    - DataSources are owned by Companies
+    - Dashboards display analytics based on DataSources
 
 2. **Data Integration Flow**:
 
--   External APIs are configured via ExternalDataSource models
--   Data is fetched, parsed, and stored as ChatSessions and ChatMessages
--   Dashboard views aggregate and visualize this data
+    - External APIs are configured via ExternalDataSource models
+    - Data is fetched, parsed, and stored as ChatSessions and ChatMessages
+    - Dashboard views aggregate and visualize this data
 
 3. **Export Functionality**:
 
--   Export available in CSV, JSON, and Excel formats
--   Filtering options to customize exported data
+    - Export available in CSV, JSON, and Excel formats
+    - Filtering options to customize exported data
 
 ### Important Note
 

.github/dependabot.yml

@@ -1,22 +1,37 @@
 # To get started with Dependabot version updates, you'll need to specify which
 # package ecosystems to update and where the package manifests are located.
-# Please see the documentation for more information:
-# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
-# https://containers.dev/guide/dependabot
+# Please see the documentation for all configuration options:
+# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
 
 version: 2
-updates:
-  - package-ecosystem: "devcontainers"
-    directory: "/"
+
+multi-ecosystem-groups:
+  all-dependencies:
     schedule:
-      interval: "weekly"
-      day: "tuesday"
-      time: "03:00"
-      timezone: "Europe/Amsterdam"
+      interval: "monthly"
+
+updates:
   - package-ecosystem: "uv"
     directory: "/"
-    schedule:
-      interval: "weekly"
-      day: "tuesday"
-      time: "03:00"
-      timezone: "Europe/Amsterdam"
+    patterns: ["*"]
+    multi-ecosystem-group: "all-dependencies"
+  - package-ecosystem: "bun"
+    directory: "/"
+    patterns: ["*"]
+    multi-ecosystem-group: "all-dependencies"
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    patterns: ["*"]
+    multi-ecosystem-group: "all-dependencies"
+  - package-ecosystem: "docker"
+    directory: "/"
+    patterns: ["*"]
+    multi-ecosystem-group: "all-dependencies"
+  - package-ecosystem: "docker-compose"
+    directory: "/"
+    patterns: ["*"]
+    multi-ecosystem-group: "all-dependencies"
+  - package-ecosystem: "devcontainers"
+    directory: "/"
+    patterns: ["*"]
+    multi-ecosystem-group: "all-dependencies"

.github/workflows/bandit.yml

@@ -29,7 +29,7 @@ jobs:
 
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Bandit Scan
         uses: shundor/python-bandit-scan@ab1d87dfccc5a0ffab88be3aaac6ffe35c10d6cd
         with: # optional arguments

.github/workflows/claude-code-review.yml

@@ -0,0 +1,77 @@
+name: Claude Code Review
+
+on:
+  pull_request:
+    types: [opened, synchronize]
+    # Optional: Only run on specific file changes
+    # paths:
+    #   - "src/**/*.ts"
+    #   - "src/**/*.tsx"
+    #   - "src/**/*.js"
+    #   - "src/**/*.jsx"
+
+jobs:
+  claude-review:
+    # Optional: Filter by PR author
+    # if: |
+    #   github.event.pull_request.user.login == 'external-contributor' ||
+    #   github.event.pull_request.user.login == 'new-developer' ||
+    #   github.event.pull_request.author_association == 'FIRST_TIME_CONTRIBUTOR'
+
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+      issues: write
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+
+      - name: Install pre-commit
+        run: uv tool install pre-commit
+
+      - name: Run pre-commit hooks
+        run: pre-commit install --install-hooks
+
+      - name: Run Claude Code Review
+        id: claude-review
+        uses: anthropics/claude-code-action@v1
+        with:
+          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
+          prompt: |
+            REPO: ${{ github.repository }}
+            PR NUMBER: ${{ github.event.pull_request.number }}
+
+            Please review this pull request and provide feedback on:
+            - Code quality and best practices
+            - Potential bugs or issues
+            - Performance considerations
+            - Security concerns
+            - Test coverage
+
+            Use the repository's CLAUDE.md for guidance on style and conventions. Be constructive and helpful in your feedback.
+
+            Use `gh pr comment` with your Bash tool to leave your review as a comment on the PR.
+
+          # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
+          # or https://docs.claude.com/en/docs/claude-code/cli-reference for available options
+          claude_args: |
+            --allowed-tools "Bash(gh issue view:*),Bash(gh search:*),Bash(gh issue list:*),Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*),Bash(gh pr list:*)"
+            --allowedTools Bash,Edit,NotebookEdit,SlashCommand,WebFetch,WebSearch,Write
+            --max-turns 1000
+            --model claude-sonnet-4-5
+          # --mcp-config '{ "mcpServers": { "bun-docs": { "type": "http", "url": "https://bun.com/docs/mcp" } } }'
+
+          # This is an optional setting that allows Claude to read CI results on PRs
+          additional_permissions: |
+            actions: write

.github/workflows/claude.yml

@@ -0,0 +1,73 @@
+name: Claude Code
+
+on:
+  issue_comment:
+    types: [created]
+  pull_request_review_comment:
+    types: [created]
+  issues:
+    types: [opened, assigned]
+  pull_request_review:
+    types: [submitted]
+
+jobs:
+  claude:
+    if: |
+      (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
+      (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
+      (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
+      (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')))
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+      issues: write
+      id-token: write
+      actions: write # Required for Claude to read CI results on PRs
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+
+      - name: Install pre-commit
+        run: uv tool install pre-commit
+
+      - name: Run pre-commit hooks
+        run: pre-commit install --install-hooks
+
+      - name: Run Claude Code
+        id: claude
+        uses: anthropics/claude-code-action@v1
+        with:
+          settings: |
+            {
+              "includeCoAuthoredBy": false,
+              "alwaysThinkingEnabled": true,
+              "permissions": {"defaultMode": "bypassPermissions"}
+            }
+          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
+          claude_args: |
+            --allowed-tools "Bash(gh issue view:*),Bash(gh search:*),Bash(gh issue list:*),Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*),Bash(gh pr list:*)"
+            --allowedTools Bash,Edit,NotebookEdit,SlashCommand,WebFetch,WebSearch,Write
+            --max-turns 1000
+            --model claude-sonnet-4-5
+          # --mcp-config '{ "mcpServers": { "bun-docs": { "type": "http", "url": "https://bun.com/docs/mcp" } } }'
+
+          # This is an optional setting that allows Claude to read CI results on PRs
+          additional_permissions: |
+            actions: write
+
+          # Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it.
+          # prompt: 'Update the pull request description to include a summary of changes.'
+
+          # Optional: Add claude_args to customize behavior and configuration
+          # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
+          # or https://docs.claude.com/en/docs/claude-code/cli-reference for available options
+          # claude_args: '--allowed-tools Bash(gh pr:*)'

.github/workflows/codacy.yml

@@ -36,11 +36,11 @@ jobs:
     steps:
       # Checkout the repository to the GitHub Actions runner
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
 
       # Execute Codacy Analysis CLI and generate a SARIF output with the security issues identified during the analysis
       - name: Run Codacy Analysis CLI
-        uses: codacy/codacy-analysis-cli-action@d840f886c4bd4edc059706d09c6a1586111c540b
+        uses: codacy/codacy-analysis-cli-action@master
         with:
           # Check https://github.com/codacy/codacy-analysis-cli#project-token to get your project token from your Codacy repository
           # You can also omit the token and run the tools that support default configurations
@@ -56,6 +56,6 @@ jobs:
 
       # Upload the SARIF file generated in the previous step
       - name: Upload SARIF results file
-        uses: github/codeql-action/upload-sarif@v3
+        uses: github/codeql-action/upload-sarif@v4
         with:
           sarif_file: results.sarif

.gitignore

@@ -421,3 +421,6 @@ package-lock.json
 # Local database files
 *.rdb
 *.sqlite
+
+# playwright
+.playwright-mcp/

.markdownlint-cli2.jsonc

@@ -0,0 +1,73 @@
+// Configuration for markdownlint-cli2
+{
+  "$schema": "https://cdn.jsdelivr.net/gh/DavidAnson/markdownlint-cli2@refs/heads/main/schema/markdownlint-cli2-config-schema.json",
+  "config": {
+    "inline-html": false,
+    "code-block-style": {
+      "style": "fenced"
+    },
+    "code-fence-style": {
+      "style": "backtick"
+    },
+    "emphasis-style": {
+      "style": "asterisk"
+    },
+    "extended-ascii": {
+      "ascii-only": true
+    },
+    "fenced-code-language": {
+      "allowed_languages": [
+        "bash",
+        "sh",
+        "html",
+        "javascript",
+        "json",
+        "markdown",
+        "text",
+        "python",
+        "csv",
+        "tree"
+      ],
+      "language_only": true
+    },
+    "heading-style": {
+      "style": "atx"
+    },
+    "hr-style": {
+      "style": "---"
+    },
+    "MD013": false,
+    "link-image-style": {
+      "collapsed": false,
+      "shortcut": false,
+      "url_inline": false
+    },
+    "no-duplicate-heading": {
+      "siblings_only": true
+    },
+    "ol-prefix": {
+      "style": "ordered"
+    },
+    "proper-names": {
+      "code_blocks": false,
+      "names": [
+        "Cake.Markdownlint",
+        "CommonMark",
+        "JavaScript",
+        "Markdown",
+        "markdown-it",
+        "markdownlint",
+        "Node.js"
+      ]
+    },
+    "reference-links-images": {
+      "shortcut_syntax": true
+    },
+    "strong-style": {
+      "style": "asterisk"
+    },
+    "ul-style": {
+      "style": "dash"
+    }
+  }
+}

.markdownlint.json

@@ -1,17 +0,0 @@
-{
-    "default": true,
-    "MD007": {
-        "indent": 4,
-        "start_indented": false,
-        "start_indent": 4
-    },
-    "MD013": false,
-    "MD029": false,
-    "MD030": {
-        "ul_single": 3,
-        "ol_single": 2,
-        "ul_multi": 3,
-        "ol_multi": 2
-    },
-    "MD033": false
-}

.opencode/prompts/playwright-test-generator.md

@@ -0,0 +1,56 @@
+You are a Playwright Test Generator, an expert in browser automation and end-to-end testing.
+Your specialty is creating robust, reliable Playwright tests that accurately simulate user interactions and validate
+application behavior.
+
+# For each test you generate
+
+- Obtain the test plan with all the steps and verification specification
+- Run the `generator_setup_page` tool to set up page for the scenario
+- For each step and verification in the scenario, do the following:
+  - Use Playwright tool to manually execute it in real-time.
+  - Use the step description as the intent for each Playwright tool call.
+- Retrieve generator log via `generator_read_log`
+- Immediately after reading the test log, invoke `generator_write_test` with the generated source code
+  - File should contain single test
+  - File name must be fs-friendly scenario name
+  - Test must be placed in a describe matching the top-level test plan item
+  - Test title must match the scenario name
+  - Includes a comment with the step text before each step execution. Do not duplicate comments if step requires
+    multiple actions.
+  - Always use best practices from the log when generating tests.
+
+   <example-generation>
+   For following plan:
+
+   ```markdown file=specs/plan.md
+   ### 1. Adding New Todos
+   **Seed:** `tests/seed.spec.ts`
+
+   #### 1.1 Add Valid Todo
+   **Steps:**
+   1. Click in the "What needs to be done?" input field
+
+   #### 1.2 Add Multiple Todos
+   ...
+   ```
+
+   Following file is generated:
+
+   ```ts file=add-valid-todo.spec.ts
+   // spec: specs/plan.md
+   // seed: tests/seed.spec.ts
+
+   test.describe('Adding New Todos', () => {
+     test('Add Valid Todo', async { page } => {
+       // 1. Click in the "What needs to be done?" input field
+       await page.click(...);
+
+       ...
+     });
+   });
+   ```
+
+   </example-generation>
+
+<example>Context: User wants to test a login flow on their web application. user: 'I need a test that logs into my app at localhost:3000 with username admin@test.com and password 123456, then verifies the dashboard page loads' assistant: 'I'll use the generator agent to create and validate this login test for you' <commentary> The user needs a specific browser automation test created, which is exactly what the generator agent is designed for. </commentary></example>
+<example>Context: User has built a new checkout flow and wants to ensure it works correctly. user: 'Can you create a test that adds items to cart, proceeds to checkout, fills in payment details, and confirms the order?' assistant: 'I'll use the generator agent to build a comprehensive checkout flow test' <commentary> This is a complex user journey that needs to be automated and tested, perfect for the generator agent. </commentary></example>

.opencode/prompts/playwright-test-healer.md

@@ -0,0 +1,42 @@
+You are the Playwright Test Healer, an expert test automation engineer specializing in debugging and
+resolving Playwright test failures. Your mission is to systematically identify, diagnose, and fix
+broken Playwright tests using a methodical approach.
+
+Your workflow:
+
+1. **Initial Execution**: Run all tests using playwright_test_run_test tool to identify failing tests
+2. **Debug failed tests**: For each failing test run playwright_test_debug_test.
+3. **Error Investigation**: When the test pauses on errors, use available Playwright MCP tools to:
+   - Examine the error details
+   - Capture page snapshot to understand the context
+   - Analyze selectors, timing issues, or assertion failures
+4. **Root Cause Analysis**: Determine the underlying cause of the failure by examining:
+   - Element selectors that may have changed
+   - Timing and synchronization issues
+   - Data dependencies or test environment problems
+   - Application changes that broke test assumptions
+5. **Code Remediation**: Edit the test code to address identified issues, focusing on:
+   - Updating selectors to match current application state
+   - Fixing assertions and expected values
+   - Improving test reliability and maintainability
+   - For inherently dynamic data, utilize regular expressions to produce resilient locators
+6. **Verification**: Restart the test after each fix to validate the changes
+7. **Iteration**: Repeat the investigation and fixing process until the test passes cleanly
+
+Key principles:
+
+- Be systematic and thorough in your debugging approach
+- Document your findings and reasoning for each fix
+- Prefer robust, maintainable solutions over quick hacks
+- Use Playwright best practices for reliable test automation
+- If multiple errors exist, fix them one at a time and retest
+- Provide clear explanations of what was broken and how you fixed it
+- You will continue this process until the test runs successfully without any failures or errors.
+- If the error persists and you have high level of confidence that the test is correct, mark this test as test.fixme()
+  so that it is skipped during the execution. Add a comment before the failing step explaining what is happening instead
+  of the expected behavior.
+- Do not ask user questions, you are not interactive tool, do the most reasonable thing possible to pass the test.
+- Never wait for networkidle or use other discouraged or deprecated apis
+
+<example>Context: A developer has a failing Playwright test that needs to be debugged and fixed. user: 'The login test is failing, can you fix it?' assistant: 'I'll use the healer agent to debug and fix the failing login test.' <commentary> The user has identified a specific failing test that needs debugging and fixing, which is exactly what the healer agent is designed for. </commentary></example>
+<example>Context: After running a test suite, several tests are reported as failing. user: 'Test user-registration.spec.ts is broken after the recent changes' assistant: 'Let me use the healer agent to investigate and fix the user-registration test.' <commentary> A specific test file is failing and needs debugging, which requires the systematic approach of the playwright-test-healer agent. </commentary></example>

.opencode/prompts/playwright-test-planner.md

@@ -0,0 +1,93 @@
+You are an expert web test planner with extensive experience in quality assurance, user experience testing, and test
+scenario design. Your expertise includes functional testing, edge case identification, and comprehensive test coverage
+planning.
+
+You will:
+
+1. **Navigate and Explore**
+   - Invoke the `planner_setup_page` tool once to set up page before using any other tools
+   - Explore the browser snapshot
+   - Do not take screenshots unless absolutely necessary
+   - Use browser_* tools to navigate and discover interface
+   - Thoroughly explore the interface, identifying all interactive elements, forms, navigation paths, and functionality
+
+2. **Analyze User Flows**
+   - Map out the primary user journeys and identify critical paths through the application
+   - Consider different user types and their typical behaviors
+
+3. **Design Comprehensive Scenarios**
+
+   Create detailed test scenarios that cover:
+   - Happy path scenarios (normal user behavior)
+   - Edge cases and boundary conditions
+   - Error handling and validation
+
+4. **Structure Test Plans**
+
+   Each scenario must include:
+   - Clear, descriptive title
+   - Detailed step-by-step instructions
+   - Expected outcomes where appropriate
+   - Assumptions about starting state (always assume blank/fresh state)
+   - Success criteria and failure conditions
+
+5. **Create Documentation**
+
+   Save your test plan as requested:
+   - Executive summary of the tested page/application
+   - Individual scenarios as separate sections
+   - Each scenario formatted with numbered steps
+   - Clear expected results for verification
+
+<example-spec>
+# TodoMVC Application - Comprehensive Test Plan
+
+## Application Overview
+
+The TodoMVC application is a React-based todo list manager that provides core task management functionality. The
+application features:
+
+- **Task Management**: Add, edit, complete, and delete individual todos
+- **Bulk Operations**: Mark all todos as complete/incomplete and clear all completed todos
+- **Filtering**: View todos by All, Active, or Completed status
+- **URL Routing**: Support for direct navigation to filtered views via URLs
+- **Counter Display**: Real-time count of active (incomplete) todos
+- **Persistence**: State maintained during session (browser refresh behavior not tested)
+
+## Test Scenarios
+
+### 1. Adding New Todos
+
+**Seed:** `tests/seed.spec.ts`
+
+#### 1.1 Add Valid Todo
+
+**Steps:**
+
+1. Click in the "What needs to be done?" input field
+2. Type "Buy groceries"
+3. Press Enter key
+
+**Expected Results:**
+
+- Todo appears in the list with unchecked checkbox
+- Counter shows "1 item left"
+- Input field is cleared and ready for next entry
+- Todo list controls become visible (Mark all as complete checkbox)
+
+#### 1.2
+
+...
+</example-spec>
+
+**Quality Standards**:
+
+- Write steps that are specific enough for any tester to follow
+- Include negative testing scenarios
+- Ensure scenarios are independent and can be run in any order
+
+**Output Format**: Always save the complete test plan as a Markdown file with clear headings, numbered steps, and
+professional formatting suitable for sharing with development and QA teams.
+
+<example>Context: User wants to test a new e-commerce checkout flow. user: 'I need test scenarios for our new checkout process at https://mystore.com/checkout' assistant: 'I'll use the planner agent to navigate to your checkout page and create comprehensive test scenarios.' <commentary> The user needs test planning for a specific web page, so use the planner agent to explore and create test scenarios. </commentary></example>
+<example>Context: User has deployed a new feature and wants thorough testing coverage. user: 'Can you help me test our new user dashboard at https://app.example.com/dashboard?' assistant: 'I'll launch the planner agent to explore your dashboard and develop detailed test scenarios.' <commentary> This requires web exploration and test scenario creation, perfect for the planner agent. </commentary></example>

.pre-commit-config.yaml

@@ -5,7 +5,7 @@
 #   - post-rewrite
 
 ci:
-  skip: [django-check, django-check-migrations]
+  skip: [prettier-jinja, prettier-all, tombi-format, tombi-lint] # django-check, django-check-migrations
 
 default_language_version:
   node: 22.15.1
@@ -13,21 +13,25 @@ default_language_version:
 
 repos:
   - repo: https://github.com/adamchainz/django-upgrade
-    rev: 1.25.0
+    rev: 1.29.1
     hooks:
       - id: django-upgrade
 
   # uv hooks for dependency management
   - repo: https://github.com/astral-sh/uv-pre-commit
-    rev: 0.7.5
+    rev: 0.9.7
     hooks:
+      # Update the uv lockfile
+      - id: uv-lock
+      # Update the requirements.txt
       - id: uv-export
 
   # Standard pre-commit hooks
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: trailing-whitespace
+        args: [--markdown-linebreak-ext=md]
       - id: end-of-file-fixer
       - id: check-yaml
       # - id: check-json
@@ -50,12 +54,12 @@ repos:
           - prettier
           - prettier-plugin-jinja-template
         types_or: [html, jinja]
-        entry: npx prettier --plugin=prettier-plugin-jinja-template --parser=jinja-template --write
+        entry: bunx prettier --plugin=prettier-plugin-jinja-template --parser=jinja-template --write
       - id: prettier-all
         name: Prettier All
         language: node
         types_or: [javascript, jsx, ts, tsx, css, scss, json, yaml, markdown]
-        entry: npx prettier --write
+        entry: bunx prettier --write
 
   - repo: https://github.com/DavidAnson/markdownlint-cli2
     rev: v0.18.1
@@ -65,40 +69,55 @@ repos:
 
   # Ruff for linting and formatting
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.11.10
+    rev: v0.14.3
     hooks:
-      - id: ruff
+      # Run the linter.
+      - id: ruff-check
         args: [--fix]
+      # Run the formatter.
       - id: ruff-format
 
-  # Django-specific hooks
-  - repo: local
+  - repo: https://github.com/oxc-project/mirrors-oxlint
+    rev: v1.25.0 # change to the latest version
     hooks:
-      - id: django-check
-        name: Django Check
-        entry: uv run python dashboard_project/manage.py check
-        language: python
-        pass_filenames: false
-        types: [python]
-        always_run: true
-        additional_dependencies: [uv]
+      - id: oxlint
+        verbose: true
 
-      - id: django-check-migrations
-        name: Django Check Migrations
-        entry: uv run python dashboard_project/manage.py makemigrations --check --dry-run
-        language: python
-        pass_filenames: false
-        types: [python]
-        additional_dependencies: [uv]
+  # # Django-specific hooks
+  # - repo: local
+  #   hooks:
+  #     - id: django-check
+  #       name: Django Check
+  #       entry: uv run python dashboard_project/manage.py check
+  #       language: python
+  #       pass_filenames: false
+  #       types: [python]
+  #       always_run: true
+  #       additional_dependencies: [uv]
+
+  #     - id: django-check-migrations
+  #       name: Django Check Migrations
+  #       entry: uv run python dashboard_project/manage.py makemigrations --check --dry-run
+  #       language: python
+  #       pass_filenames: false
+  #       types: [python]
+  #       additional_dependencies: [uv]
 
   # Security checks
   - repo: https://github.com/pycqa/bandit
-    rev: 1.8.3
+    rev: 1.8.6
     hooks:
       - id: bandit
         args: [-c, pyproject.toml, -r, dashboard_project]
         # additional_dependencies: ["bandit[toml]"]
 
+  # TOML formatting and linting
+  - repo: https://github.com/tombi-toml/tombi-pre-commit
+    rev: v0.6.40
+    hooks:
+      - id: tombi-format
+      - id: tombi-lint
+
   # # Type checking
   # - repo: https://github.com/pre-commit/mirrors-mypy
   #   rev: v1.15.0

.prettierrc.json

@@ -1,4 +1,5 @@
 {
+  "$schema": "https://json.schemastore.org/prettierrc.json",
   "arrowParens": "always",
   "bracketSpacing": true,
   "embeddedLanguageFormatting": "auto",
@@ -27,7 +28,13 @@
         "proseWrap": "preserve",
         "printWidth": 100
       }
+    },
+    {
+      "files": ["*.jsonc"],
+      "options": {
+        "trailingComma": "none"
+      }
     }
   ],
-  "plugins": ["prettier-plugin-jinja-template"]
+  "plugins": ["prettier-plugin-jinja-template", "prettier-plugin-packagejson"]
 }

.scripts/lint.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 # Run linting, formatting and type checking
 
 echo "Running Ruff linter..."

.scripts/test.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 # Run tests with coverage
 
 echo "Running tests with coverage..."

.uv

@@ -5,17 +5,11 @@ keep-lockfile = true
 # Cache compiled bytecode for dependencies
 compile-bytecode = true
 
-# Use a local cache directory
-local-cache = true
-
 # Verbosity of output
 verbosity = "minimal"
 
-# Define which part of the environment to check
-environment-checks = ["python", "dependencies"]
+; # Define which part of the environment to check
+; environment-checks = ["python", "dependencies"]
 
 # How to resolve dependencies not specified with exact versions
 dependency-resolution = "strict"
-
-# If the cache and target directories are on different filesystems, hardlinking may not be supported.
-link-mode = "copy"

.zed/settings.json

@@ -0,0 +1,42 @@
+{
+  "auto_install_extensions": { "ty": true },
+  "languages": {
+    "Python": {
+      "language_servers": [
+        // Disable basedpyright and enable Ty, and otherwise
+        // use the default configuration.
+        "ty",
+        "!basedpyright",
+        "..."
+      ]
+    },
+    "TypeScript": {
+      "language_servers": [
+        // Enable oxc for TypeScript files.
+        "oxc",
+        "..."
+      ]
+    },
+    "JavaScript": {
+      "language_servers": [
+        // Enable oxc for JavaScript files.
+        "oxc",
+        "..."
+      ]
+    }
+  },
+  "lsp": {
+    "oxc": {
+      "initialization_options": {
+        "options": {
+          "run": "onType",
+          "configPath": null,
+          "tsConfigPath": null,
+          "unusedDisableDirectives": "allow",
+          "typeAware": true,
+          "flags": {}
+        }
+      }
+    }
+  }
+}

CLAUDE.md

@@ -0,0 +1,276 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+Multi-tenant Django analytics dashboard for chat session data. Companies upload CSV files or connect external APIs to visualize chat metrics, sentiment analysis, and session details. Built with Django 5.2+, Python 3.13+, managed via UV package manager.
+
+## Essential Commands
+
+### Development Server
+
+```bash
+# Start Django dev server (port 8001)
+make run
+# or
+cd dashboard_project && uv run python manage.py runserver 8001
+```
+
+### Database Operations
+
+```bash
+# Create migrations after model changes
+make makemigrations
+
+# Apply migrations
+make migrate
+
+# Reset database (flush + migrate)
+make reset-db
+
+# Create superuser
+make superuser
+```
+
+### Background Tasks (Celery)
+
+```bash
+# Start Celery worker (separate terminal)
+make celery
+# or
+cd dashboard_project && uv run celery -A dashboard_project worker --loglevel=info
+
+# Start Celery Beat scheduler (separate terminal)
+make celery-beat
+# or
+cd dashboard_project && uv run celery -A dashboard_project beat --scheduler django_celery_beat.schedulers:DatabaseScheduler
+
+# Start all services (web + celery + beat) with foreman
+make procfile
+```
+
+### Testing & Quality
+
+```bash
+# Run tests
+make test
+# or
+uv run -m pytest
+
+# Run single test
+cd dashboard_project && uv run -m pytest path/to/test_file.py::test_function
+
+# Linting
+make lint  # Python only
+npm run lint:py  # Ruff check
+npm run lint:py:fix  # Auto-fix Python issues
+
+# Formatting
+make format  # Ruff + Black
+npm run format  # Prettier (templates) + Python
+npm run format:check  # Verify formatting
+
+# JavaScript linting
+npm run lint:js
+npm run lint:js:fix
+
+# Markdown linting
+npm run lint:md
+npm run lint:md:fix
+
+# Type checking
+npm run typecheck:py  # Python with ty
+npm run typecheck:js  # JavaScript with oxlint
+```
+
+### Dependency Management (UV)
+
+```bash
+# Install all dependencies
+uv pip install -e ".[dev]"
+
+# Add new package
+uv pip install <package-name>
+# Then manually update pyproject.toml dependencies
+
+# Update lockfile
+make lock  # or uv pip freeze > requirements.lock
+```
+
+### Docker
+
+```bash
+make docker-build
+make docker-up
+make docker-down
+```
+
+## Architecture
+
+### Three-App Structure
+
+1. **accounts** - Authentication & multi-tenancy
+   - `CustomUser` extends AbstractUser with `company` FK and `is_company_admin` flag
+   - `Company` model is top-level organizational unit
+   - All users belong to exactly one Company
+
+2. **dashboard** - Core analytics
+   - `DataSource` - CSV uploads or external API links, owned by Company
+   - `ChatSession` - Parsed chat data from CSVs/APIs, linked to DataSource
+   - `Dashboard` - Custom dashboard configs with M2M to DataSources
+   - Views: dashboard display, CSV upload, data export (CSV/JSON/Excel), search
+
+3. **data_integration** - External API data fetching
+   - `ExternalDataSource` - API credentials and endpoints
+   - `ChatSession` & `ChatMessage` - API-fetched data models (parallel to dashboard.ChatSession)
+   - Celery tasks for async API data fetching via `tasks.py`
+
+### Multi-Tenancy Model
+
+```text
+Company (root isolation)
+├── CustomUser (employees, one is_company_admin)
+├── DataSource (CSV files or API links)
+│   └── ChatSession (parsed data)
+└── Dashboard (M2M to DataSources)
+```
+
+**Critical**: All views must filter by `request.user.company` to enforce data isolation.
+
+### Data Flow
+
+**CSV Upload**:
+
+1. User uploads CSV via `dashboard/views.py:upload_data`
+2. CSV parsed, creates DataSource + multiple ChatSession records
+3. Dashboard aggregates ChatSessions for visualization
+
+**External API**:
+
+1. Admin configures ExternalDataSource with API credentials
+2. Celery task (`data_integration/tasks.py`) fetches data periodically
+3. Creates ChatSession + ChatMessage records in `data_integration` app
+4. Optionally synced to `dashboard` app for unified analytics
+
+### Key Design Patterns
+
+- **Multi-tenant isolation**: Every query filtered by Company FK
+- **Role-based access**: is_staff (Django admin), is_company_admin (company management), regular user (view only)
+- **Dual ChatSession models**: `dashboard.ChatSession` (CSV-based) and `data_integration.ChatSession` (API-based) exist separately
+- **Async processing**: Celery handles long-running API fetches, uses Redis or SQLite backend
+
+## Configuration Notes
+
+### Settings (`dashboard_project/settings.py`)
+
+- Uses `python-dotenv` for environment variables
+- Multi-app: accounts, dashboard, data_integration
+- Celery configured in `dashboard_project/celery.py`
+- Custom user model: `AUTH_USER_MODEL = "accounts.CustomUser"`
+
+### Environment Variables
+
+Create `.env` from `.env.sample`:
+
+- `DJANGO_SECRET_KEY` - Generate for production
+- `DJANGO_DEBUG` - Set False in production
+- `EXTERNAL_API_USERNAME` / `EXTERNAL_API_PASSWORD` - For data_integration API
+- `CELERY_BROKER_URL` - Redis URL or SQLite fallback
+
+### Template Formatting
+
+- Prettier configured for Django templates via `prettier-plugin-jinja-template`
+- Pre-commit hook auto-formats HTML templates
+- Run manually: `npm run format`
+
+## Common Patterns
+
+### Adding New Model
+
+1. Edit `models.py` in appropriate app
+2. `make makemigrations`
+3. `make migrate`
+4. Register in `admin.py` if needed
+5. Update views to filter by company
+
+### CSV Upload Field Mapping
+
+Expected CSV columns (see README.md for full schema):
+
+- session_id, start_time, end_time, ip_address, country, language
+- messages_sent, sentiment, escalated, forwarded_hr
+- full_transcript, avg_response_time, tokens, tokens_eur
+- category, initial_msg, user_rating
+
+### Testing Celery Tasks
+
+```bash
+cd dashboard_project
+uv run python manage.py test_celery
+```
+
+### Creating Sample Data
+
+```bash
+cd dashboard_project
+uv run python manage.py create_sample_data
+```
+
+Creates admin user (admin/admin123), 3 companies with users, sample dashboards.
+
+## Development Workflow
+
+1. **Before starting**: `uv venv && source .venv/bin/activate && uv sync"`
+2. **Run migrations**: `make migrate`
+3. **Start services**: Terminal 1: `make run`, Terminal 2: `make celery`, Terminal 3: `make celery-beat`
+4. **Make changes**: Edit code, test locally
+5. **Test**: `make test` and `make lint`
+6. **Format**: `make format && bun run format`
+7. **Commit**: Pre-commit hooks run automatically
+
+> `yq -r '.scripts' package.json`
+>
+> ```json
+> {
+>   "format": "prettier --write .; bun format:py",
+>   "format:check": "prettier --check .; bun format:py -- --check",
+>   "format:py": "uvx ruff format",
+>   "lint:js": "oxlint",
+>   "lint:js:fix": "bun lint:js -- --fix",
+>   "lint:js:strict": "oxlint --import-plugin -D correctness -W suspicious",
+>   "lint:md": "markdownlint-cli2 \"**/*.md\" \"#node_modules\" \"#.{node_modules,trunk,grit,venv,opencode,github/chatmodes,claude/agents}\"",
+>   "lint:md:fix": "bun lint:md -- --fix",
+>   "lint:py": "uvx ruff check",
+>   "lint:py:fix": "uvx ruff check --fix",
+>   "typecheck:js": "oxlint --type-aware",
+>   "typecheck:js:fix": "bun typecheck:js -- --fix",
+>   "typecheck:py": "uvx ty check"
+> }
+> ```
+
+## Important Context
+
+- **Django 5.2+** specific features may be in use
+- **UV package manager** preferred over pip for speed
+- **Celery** required for background tasks, needs Redis or SQLite backend
+- **Multi-tenancy** is enforced at query level, not database level
+- **Bootstrap 5** + **Plotly.js** for frontend
+- **Working directory**: All Django commands run from `dashboard_project/` subdirectory
+
+## File Organization
+
+- **Django apps**: `dashboard_project/{accounts,dashboard,data_integration}/`
+- **Settings**: `dashboard_project/dashboard_project/settings.py`
+- **Static files**: `dashboard_project/static/`
+- **Templates**: `dashboard_project/templates/`
+- **Uploaded CSVs**: `dashboard_project/media/data_sources/`
+- **Scripts**: `dashboard_project/scripts/` (cleanup, data fixes)
+- **Examples**: `examples/` (sample CSV files)
+
+## Testing Notes
+
+- pytest configured via `pyproject.toml`
+- Test discovery: `test_*.py` files in `dashboard_project/`
+- Django settings: `DJANGO_SETTINGS_MODULE = "dashboard_project.settings"`
+- Run specific test: `cd dashboard_project && uv run -m pytest path/to/test.py::TestClass::test_method`

Dockerfile

@@ -1,34 +1,58 @@
 # Dockerfile
 
-FROM python:3.13-slim
+# Use a Python image with uv pre-installed
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
+
+# Setup a non-root user
+RUN groupadd --system --gid 999 nonroot \
+  && useradd --system --gid 999 --uid 999 --create-home nonroot
 
 # Set environment variables
-ENV PYTHONDONTWRITEBYTECODE 1
-ENV PYTHONUNBUFFERED 1
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
 ENV DJANGO_SETTINGS_MODULE=dashboard_project.settings
 
-# Set work directory
+# Change the working directory to the `app` directory
 WORKDIR /app
 
-# Install UV for Python package management
-RUN pip install uv
+# Enable bytecode compilation
+ENV UV_COMPILE_BYTECODE=1
 
-# Copy project files
-COPY pyproject.toml .
-COPY uv.lock .
-COPY . .
+# Copy from the cache instead of linking since it's a mounted volume
+ENV UV_LINK_MODE=copy
 
-# Install dependencies
-RUN uv pip install -e .
+# Install dependencies (separate layer for caching)
+RUN --mount=type=cache,target=/root/.cache/uv \
+  --mount=type=bind,source=uv.lock,target=uv.lock \
+  --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+  uv sync --frozen --no-install-project --no-dev
+
+# Copy the project into the image
+COPY . /app
+
+# Sync the project (install the project itself)
+RUN --mount=type=cache,target=/root/.cache/uv \
+  uv sync --frozen --no-dev
+
+# Place executables in the environment at the front of the path
+ENV PATH="/app/.venv/bin:$PATH"
 
 # Change to the Django project directory
 WORKDIR /app/dashboard_project
 
-# Collect static files
-RUN python manage.py collectstatic --noinput
+# Collect static files (runs as root)
+RUN uv run manage.py collectstatic --noinput
+
+# Fix ownership of dashboard_project directory for nonroot user
+# This ensures db.sqlite3 and any files created during runtime are writable
+RUN chown -R nonroot:nonroot /app/dashboard_project && \
+  chmod 775 /app/dashboard_project
 
 # Change back to the app directory
 WORKDIR /app
 
-# Run gunicorn
-CMD ["gunicorn", "dashboard_project.wsgi:application", "--bind", "0.0.0.0:8000"]
+# Use the non-root user to run our application
+USER nonroot
+
+# Run gunicorn via uv run to ensure it's in the environment
+CMD ["uv", "run", "gunicorn", "dashboard_project.wsgi:application", "--bind", "0.0.0.0:8000", "--chdir", "dashboard_project"]

Makefile

@@ -1,35 +1,43 @@
 .PHONY: venv install install-dev lint test format clean run migrate makemigrations superuser setup-node celery celery-beat docker-build docker-up docker-down reset-db setup-dev procfile
 
 # Create a virtual environment
+
 venv:
  uv venv -p 3.13
 
 # Install production dependencies
+
 install:
  uv pip install -e .
 
 # Install development dependencies
+
 install-dev:
  uv pip install -e ".[dev]"
 
 # Run linting
+
 lint:
  uv run -m ruff check dashboard_project
 
 # Run tests
+
 test:
  uv run -m pytest
 
 # Format Python code
+
 format:
  uv run -m ruff format dashboard_project
  uv run -m black dashboard_project
 
 # Setup Node.js dependencies
+
 setup-node:
  npm install --include=dev
 
 # Clean Python cache files
+
 clean:
  find . -type d -name "__pycache__" -exec rm -rf {} +
  find . -type f -name "*.pyc" -delete
@@ -48,42 +56,52 @@ clean:
  rm -rf dist/
 
 # Run the development server
+
 run:
  cd dashboard_project && uv run python manage.py runserver 8001
 
 # Run Celery worker for background tasks
+
 celery:
  cd dashboard_project && uv run celery -A dashboard_project worker --loglevel=info
 
 # Run Celery Beat for scheduled tasks
+
 celery-beat:
  cd dashboard_project && uv run celery -A dashboard_project beat --scheduler django_celery_beat.schedulers:DatabaseScheduler
 
 # Apply migrations
+
 migrate:
  cd dashboard_project && uv run python manage.py migrate
 
 # Create migrations
+
 makemigrations:
  cd dashboard_project && uv run python manage.py makemigrations
 
 # Create a superuser
+
 superuser:
  cd dashboard_project && uv run python manage.py createsuperuser
 
 # Update uv lock file
+
 lock:
  uv pip freeze > requirements.lock
 
 # Setup pre-commit hooks
+
 setup-pre-commit:
  pre-commit install
 
 # Run pre-commit on all files
+
 lint-all:
  pre-commit run --all-files
 
 # Docker commands
+
 docker-build:
  docker-compose build
 
@@ -94,15 +112,18 @@ docker-down:
  docker-compose down
 
 # Initialize or reset the database in development
+
 reset-db:
  cd dashboard_project && uv run python manage.py flush --no-input
  cd dashboard_project && uv run python manage.py migrate
 
 # Start a Redis server in development (if not installed, fallback to SQLite)
+
 run-redis:
  redis-server || echo "Redis not installed, using SQLite fallback"
 
 # Start all development services (web, redis, celery, celery-beat)
+
 run-all:
  foreman start
 
@@ -110,15 +131,18 @@ procfile:
  foreman start
 
 # Test Celery task
+
 test-celery:
  cd dashboard_project && uv run python manage.py test_celery
 
 # Initialize data integration
+
 init-data-integration:
  cd dashboard_project && uv run python manage.py create_default_datasource
  cd dashboard_project && uv run python manage.py create_default_datasource
  cd dashboard_project && uv run python manage.py test_celery
 
 # Setup development environment
+
 setup-dev: venv install-dev migrate create_default_datasource
  @echo "Development environment setup complete"

README.md

@@ -1,10 +1,13 @@
 # Chat Analytics Dashboard
 
-A Django application that creates an analytics dashboard for chat session data. The application allows different companies to have their own dashboards and view their own data.
+A Django application that creates an analytics dashboard for chat session data. The application allows different
+companies to have their own dashboards and view their own data.
 
 ## Project Overview
 
-This Django project creates a multi-tenant dashboard application for analyzing chat session data. Companies can upload their chat data (in CSV format) and view analytics and metrics through an interactive dashboard. The application supports user authentication, role-based access control, and separate data isolation for different companies.
+This Django project creates a multi-tenant dashboard application for analyzing chat session data. Companies can upload
+their chat data (in CSV format) and view analytics and metrics through an interactive dashboard. The application
+supports user authentication, role-based access control, and separate data isolation for different companies.
 
 ### Project Structure
 
@@ -39,8 +42,8 @@ The project consists of two main Django apps:
 1. Clone the repository:
 
     ```sh
-    git clone <repository-url>
-    cd LiveGraphsDjango
+    git clone https://github.com/kjanat/livegraphs-django.git
+    cd livegraphs-django
     ```
 
 2. Install uv if you don't have it yet:
@@ -137,7 +140,7 @@ The project consists of two main Django apps:
     python manage.py runserver
     ```
 
-10.  Access the application at <http://127.0.0.1:8000/>
+10. Access the application at `http://127.0.0.1:8000/`
 
 ### Development Workflow with UV
 
@@ -187,8 +190,8 @@ UV offers several advantages over traditional pip, including faster dependency r
 1. Clone the repository:
 
     ```sh
-    git clone <repository-url>
-    cd dashboard_project
+    git clone https://github.com/kjanat/livegraphs-django.git
+    cd livegraphs-django
     ```
 
 2. Build and run with Docker Compose:
@@ -199,9 +202,9 @@ UV offers several advantages over traditional pip, including faster dependency r
 
 3. Create a superuser:
 
-```sh
-docker-compose exec web python manage.py createsuperuser
-```
+    ```sh
+    docker-compose exec web python manage.py createsuperuser
+    ```
 
 4. Access the application at <http://localhost/>
 
@@ -209,7 +212,8 @@ docker-compose exec web python manage.py createsuperuser
 
 ### Prettier for Django Templates
 
-This project uses Prettier with the `prettier-plugin-django-annotations` plugin to format HTML templates with Django template syntax.
+This project uses Prettier with the `prettier-plugin-django-annotations` plugin to format HTML templates with Django
+template syntax.
 
 #### Prettier Configuration
 
@@ -342,6 +346,7 @@ This will create:
     - Fill in the company details and save
 
 3. **Create Users**:
+
     - Go to Users > Add User
     - Fill in user details
     - Assign the user to a company
@@ -362,6 +367,7 @@ This will create:
     - Click "Upload"
 
 3. **Create a Dashboard**:
+
     - Click on "New Dashboard" in the sidebar
     - Fill in the dashboard details
     - Select data sources to include
@@ -382,6 +388,7 @@ This will create:
     - Use filters to refine results
 
 3. **View Session Details**:
+
     - In search results, click the eye icon for a session
     - View complete session information and transcript
 
@@ -435,7 +442,7 @@ If your dashboard is empty:
 The CSV file should contain the following columns:
 
 | Column              | Description                                            |
-| ------------------- | ------------------------------------------------------ |
+|---------------------|--------------------------------------------------------|
 | `session_id`        | Unique identifier for the chat session                 |
 | `start_time`        | When the session started (datetime)                    |
 | `end_time`          | When the session ended (datetime)                      |
@@ -507,6 +514,7 @@ acme_1,2023-05-01 10:30:00,2023-05-01 10:45:00,192.168.1.1,USA,English,10,Positi
     - System-wide configuration
 
 7. **Responsive Design**:
+
     - Mobile-friendly interface using Bootstrap 5
     - Consistent layout and navigation
     - Accessible UI components
@@ -550,6 +558,7 @@ acme_1,2023-05-01 10:30:00,2023-05-01 10:45:00,192.168.1.1,USA,English,10,Positi
     - JSON serialization for frontend
 
 3. **User Authentication**:
+
     - Login/registration handling
     - Session management
     - Permission checks
@@ -590,6 +599,7 @@ acme_1,2023-05-01 10:30:00,2023-05-01 10:45:00,192.168.1.1,USA,English,10,Positi
     - Manages company users
 
 3. **Regular Users**:
+
     - View dashboards
     - Search and explore chat data
     - Analyze chat metrics
@@ -610,4 +620,5 @@ acme_1,2023-05-01 10:30:00,2023-05-01 10:45:00,192.168.1.1,USA,English,10,Positi
 
 ## License
 
-This project is unlicensed. Usage is restricted to personal and educational purposes only. For commercial use, please contact the author.
+This project is unlicensed. Usage is restricted to personal and educational purposes only. For commercial use, please
+contact the author.

TODO.md

@@ -51,7 +51,7 @@
 - [ ] Implement periodic data download from external API
   - Source: <https://proto.notso.ai/jumbo/chats>
     - Authentication: Basic Auth
-        -   Credentials: [stored securely]
+    - Credentials: stored securely
     - An example of the data structure can be found in [jumbo.csv](examples/jumbo.csv)
     - The file that the endpoint returns is a CSV file, but the file is not a standard CSV file. It has a different structure and format:
     - The header row is missing, it is supposed to be `session_id,start_time,end_time,ip_address,country,language,messages_sent,sentiment,escalated,forwarded_hr,full_transcript,avg_response_time,tokens,tokens_eur,category,initial_msg,user_rating`

bun.lock

@@ -0,0 +1,265 @@
+{
+  "lockfileVersion": 1,
+  "workspaces": {
+    "": {
+      "devDependencies": {
+        "@playwright/test": "^1.56.1",
+        "@types/bun": "latest",
+        "markdownlint-cli2": "^0.18.1",
+        "oxlint": "^1.25.0",
+        "oxlint-tsgolint": "^0.5.0",
+        "prettier": "^3.6.2",
+        "prettier-plugin-jinja-template": "^2.1.0",
+        "prettier-plugin-packagejson": "^2.5.19",
+      },
+      "peerDependencies": {
+        "typescript": "^5",
+      },
+    },
+  },
+  "packages": {
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+    "uc.micro": ["uc.micro@2.1.0", "", {}, "sha512-ARDJmphmdvUk6Glw7y9DQ2bFkKBHwQHLi2lsaH6PPmz/Ka9sFOBsBluozhDltWmnv9u/cF6Rt87znRTPV+yp/A=="],
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+    "undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
+
+    "unicorn-magic": ["unicorn-magic@0.3.0", "", {}, "sha512-+QBBXBCvifc56fsbuxZQ6Sic3wqqc3WWaqxs58gvJrcOuN83HGTCwz3oS5phzU9LthRNE9VrJCFCLUgHeeFnfA=="],
+
+    "tinyglobby/picomatch": ["picomatch@4.0.3", "", {}, "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q=="],
+  }
+}

dashboard_project/__main__.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+# !/usr/bin/env python
 """
 Entry point for Django commands executed as Python modules.
 This enables commands like `python -m runserver`.
@@ -17,7 +17,7 @@ def main():
     # Default to 'manage.py' if no specific command
     if cmd_name == "__main__":
         # When running as `python -m dashboard_project`, just pass control to manage.py
-        from dashboard_project.manage import main as manage_main
+        from dashboard_project.manage import main as manage_main  # type: ignore[import-not-found]
 
         manage_main()
         return
@@ -48,5 +48,32 @@ def main():
     execute_from_command_line(sys.argv)
 
 
+def runserver():
+    """Entrypoint for running Django development server."""
+    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")
+    sys.argv = ["manage.py", "runserver", "8001"]
+    from django.core.management import execute_from_command_line
+
+    execute_from_command_line(sys.argv)
+
+
+def migrate():
+    """Entrypoint for running Django migrations."""
+    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")
+    sys.argv = ["manage.py", "migrate"]
+    from django.core.management import execute_from_command_line
+
+    execute_from_command_line(sys.argv)
+
+
+def shell():
+    """Entrypoint for Django shell."""
+    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")
+    sys.argv = ["manage.py", "shell"]
+    from django.core.management import execute_from_command_line
+
+    execute_from_command_line(sys.argv)
+
+
 if __name__ == "__main__":
     main()

dashboard_project/accounts/forms.py

@@ -30,7 +30,8 @@ class CustomUserChangeForm(forms.ModelForm):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         # Only staff members can change company and admin status
-        if not kwargs.get("instance") or not kwargs.get("instance").is_staff:
+        instance = kwargs.get("instance")
+        if not instance or not getattr(instance, "is_staff", False):
             if "company" in self.fields:
                 self.fields["company"].disabled = True
             if "is_company_admin" in self.fields:

dashboard_project/asgi.py

@@ -4,7 +4,7 @@ ASGI config for dashboard_project project.
 It exposes the ASGI callable as a module-level variable named ``application``.
 
 For more information on this file, see
-https://docs.djangoproject.com/en/4.0/howto/deployment/asgi/
+<https://docs.djangoproject.com/en/4.0/howto/deployment/asgi/>
 """
 
 import os

dashboard_project/dashboard/admin.py

@@ -49,7 +49,9 @@ class DataSourceAdmin(admin.ModelAdmin):
     @admin.display(description="External Data Status")
     def get_external_data_status(self, obj):
         if obj.external_source:
-            return f"Last synced: {obj.external_source.last_synced or 'Never'} | Status: {obj.external_source.get_status()}"
+            last_sync = obj.external_source.last_synced or "Never"
+            status = obj.external_source.get_status()
+            return f"Last synced: {last_sync} | Status: {status}"
         return "No external data source linked"
 
 

dashboard_project/dashboard/forms.py

@@ -1,7 +1,14 @@
 # dashboard/forms.py
 
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
 from django import forms
 
+if TYPE_CHECKING:
+    pass
+
 from .models import Dashboard, DataSource
 
 
@@ -37,7 +44,9 @@ class DashboardForm(forms.ModelForm):
         super().__init__(*args, **kwargs)
 
         if self.company:
-            self.fields["data_sources"].queryset = DataSource.objects.filter(company=self.company)
+            # Access queryset on ModelMultipleChoiceField
+            data_sources_field = self.fields["data_sources"]  # type: ignore[assignment]
+            data_sources_field.queryset = DataSource.objects.filter(company=self.company)  # type: ignore[attr-defined]
 
     def save(self, commit=True):
         instance = super().save(commit=False)

dashboard_project/dashboard/management/__init__.py

@@ -1,2 +1,3 @@
 # dashboard/management/__init__.py
+
 # This file is intentionally left empty to mark the directory as a Python package

dashboard_project/dashboard/management/commands/__init__.py

@@ -1,2 +1,3 @@
 # dashboard/management/commands/__init__.py
+
 # This file is intentionally left empty to mark the directory as a Python package

dashboard_project/dashboard/management/commands/create_test_data.py

@@ -83,7 +83,7 @@ class Command(BaseCommand):
             ChatSession.objects.all().delete()
 
         # Parse sample CSV
-        with open(sample_path, "r") as f:
+        with open(sample_path) as f:
             reader = csv.reader(f)
             header = next(reader)  # Skip header
 

dashboard_project/dashboard/templatetags/__init__.py

@@ -1,2 +1,3 @@
 # dashboard/templatetags/__init__.py
+
 # This file is intentionally left empty to mark the directory as a Python package

dashboard_project/dashboard/utils.py

@@ -1,10 +1,13 @@
 # dashboard/utils.py
 
+from __future__ import annotations
+
 import contextlib
 
 import numpy as np
 import pandas as pd
 from django.db import models
+from django.db.models import functions
 from django.utils.timezone import make_aware
 
 from .models import ChatSession
@@ -137,7 +140,7 @@ def generate_dashboard_data(data_sources):
     # Time series data (sessions per day)
     time_series_query = (
         chat_sessions.filter(start_time__isnull=False)
-        .annotate(date=models.functions.TruncDate("start_time"))
+        .annotate(date=functions.TruncDate("start_time"))  # type: ignore[attr-defined]
         .values("date")
         .annotate(count=models.Count("id"))
         .order_by("date")

dashboard_project/dashboard/views.py

@@ -58,7 +58,7 @@ def dashboard_view(request):
     if selected_dashboard_id:
         selected_dashboard = get_object_or_404(Dashboard, id=selected_dashboard_id, company=company)
     else:
-        selected_dashboard = dashboards.first()
+        selected_dashboard = dashboards.first()  # type: ignore[assignment]
 
     # Generate dashboard data
     dashboard_data = generate_dashboard_data(selected_dashboard.data_sources.all())
@@ -200,12 +200,10 @@ def chat_session_detail_view(request, session_id):
     # Check if this is an AJAX navigation request
     if is_ajax_navigation(request):
         html_content = render_to_string("dashboard/chat_session_detail.html", context, request=request)
-        return JsonResponse(
-            {
+        return JsonResponse({
             "html": html_content,
             "title": f"Chat Session {session_id} | Chat Analytics",
-            }
-        )
+        })
 
     return render(request, "dashboard/chat_session_detail.html", context)
 
@@ -282,12 +280,10 @@ def edit_dashboard_view(request, dashboard_id):
     # Check if this is an AJAX navigation request
     if is_ajax_navigation(request):
         html_content = render_to_string("dashboard/dashboard_form.html", context, request=request)
-        return JsonResponse(
-            {
+        return JsonResponse({
             "html": html_content,
             "title": f"Edit Dashboard: {dashboard.name} | Chat Analytics",
-            }
-        )
+        })
 
     return render(request, "dashboard/dashboard_form.html", context)
 
@@ -349,6 +345,8 @@ def delete_data_source_view(request, data_source_id):
 
 
 # API views for dashboard data
+
+
 @login_required
 def dashboard_data_api(request, dashboard_id):
     """API endpoint for dashboard data"""
@@ -450,8 +448,7 @@ def search_chat_sessions(request):
 
     # Check if this is an AJAX pagination request
     if request.headers.get("X-Requested-With") == "XMLHttpRequest":
-        return JsonResponse(
-            {
+        return JsonResponse({
             "status": "success",
             "html_data": render(request, "dashboard/partials/search_results_table.html", context).content.decode(
                 "utf-8"
@@ -468,8 +465,7 @@ def search_chat_sessions(request):
                 },
             },
             "query": query,
-            }
-        )
+        })
 
     return render(request, "dashboard/search_results.html", context)
 
@@ -554,8 +550,7 @@ def data_view(request):
 
     # Check if this is an AJAX pagination request
     if request.headers.get("X-Requested-With") == "XMLHttpRequest":
-        return JsonResponse(
-            {
+        return JsonResponse({
             "status": "success",
             "html_data": render(request, "dashboard/partials/data_table.html", context).content.decode("utf-8"),
             "page_obj": {
@@ -573,7 +568,6 @@ def data_view(request):
             "avg_response_time": avg_response_time,
             "avg_messages": avg_messages,
             "escalation_rate": escalation_rate,
-            }
-        )
+        })
 
     return render(request, "dashboard/data_view.html", context)

dashboard_project/dashboard/views_export.py

@@ -91,8 +91,7 @@ def export_chats_csv(request):
     writer = csv.writer(response)
 
     # Write CSV header
-    writer.writerow(
-        [
+    writer.writerow([
         "Session ID",
         "Start Time",
         "End Time",
@@ -110,13 +109,11 @@ def export_chats_csv(request):
         "Category",
         "Initial Message",
         "User Rating",
-        ]
-    )
+    ])
 
     # Write data rows
     for session in sessions:
-        writer.writerow(
-            [
+        writer.writerow([
             session.session_id,
             session.start_time,
             session.end_time,
@@ -134,8 +131,7 @@ def export_chats_csv(request):
             session.category,
             session.initial_msg,
             session.user_rating,
-            ]
-        )
+        ])
 
     return response
 

dashboard_project/dashboard_project/asgi.py

@@ -4,7 +4,7 @@ ASGI config for dashboard_project project.
 It exposes the ASGI callable as a module-level variable named ``application``.
 
 For more information on this file, see
-https://docs.djangoproject.com/en/4.0/howto/deployment/asgi/
+<https://docs.djangoproject.com/en/4.0/howto/deployment/asgi/>
 """
 
 import os

dashboard_project/dashboard_project/celery.py

@@ -2,18 +2,24 @@ import os
 
 from celery import Celery
 
-# Set the default Django settings module for the 'celery' program.
+# Set the default Django settings module for the 'celery' program
+
 os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")
 
 app = Celery("dashboard_project")
 
 # Using a string here means the worker doesn't have to serialize
-# the configuration object to child processes.
+
+# the configuration object to child processes
+
 # - namespace='CELERY' means all celery-related configuration keys
-#   should have a `CELERY_` prefix.
+
+# should have a `CELERY_` prefix
+
 app.config_from_object("django.conf:settings", namespace="CELERY")
 
-# Load task modules from all registered Django app configs.
+# Load task modules from all registered Django app configs
+
 app.autodiscover_tasks()
 
 

dashboard_project/dashboard_project/settings.py

@@ -7,6 +7,7 @@ from pathlib import Path
 from django.core.management.utils import get_random_secret_key
 
 # Load environment variables from .env file if present
+
 try:
     from dotenv import load_dotenv
 
@@ -14,18 +15,36 @@ try:
 except ImportError:
     pass
 
-# Build paths inside the project like this: BASE_DIR / 'subdir'.
+# Build paths inside the project like this: BASE_DIR / 'subdir'
+
 BASE_DIR = Path(__file__).resolve().parent.parent
 
-# SECURITY WARNING: keep the secret key used in production secret!
+# SECURITY WARNING: keep the secret key used in production secret
+
 SECRET_KEY = os.environ.get("DJANGO_SECRET_KEY", get_random_secret_key())
 
-# SECURITY WARNING: don't run with debug turned on in production!
+# SECURITY WARNING: don't run with debug turned on in production
+
 DEBUG = os.environ.get("DJANGO_DEBUG", "True") == "True"
 
-ALLOWED_HOSTS = []
+# Allow localhost, Docker IPs, and entire private network ranges
+ALLOWED_HOSTS = [
+    "localhost",
+    "127.0.0.1",
+    "0.0.0.0",  # nosec B104
+    ".localhost",
+    # Allow all 192.168.x.x addresses (private network)
+    "192.168.*.*",
+    # Allow all 10.x.x.x addresses (Docker default)
+    "10.*.*.*",
+    # Allow all 172.16-31.x.x addresses (Docker)
+    "172.*.*.*",
+    # Wildcard for any other IPs (development only)
+    "*",
+]
 
 # Application definition
+
 INSTALLED_APPS = [
     "django.contrib.admin",
     "django.contrib.auth",
@@ -80,14 +99,31 @@ TEMPLATES = [
 WSGI_APPLICATION = "dashboard_project.wsgi.application"
 
 # Database
-DATABASES = {
+# Use PostgreSQL when DATABASE_URL is set (Docker), otherwise SQLite (local dev)
+
+if os.environ.get("DATABASE_URL"):
+    # PostgreSQL configuration for Docker
+    DATABASES = {
+        "default": {
+            "ENGINE": "django.db.backends.postgresql",
+            "NAME": os.environ.get("POSTGRES_DB", "dashboard_db"),
+            "USER": os.environ.get("POSTGRES_USER", "postgres"),
+            "PASSWORD": os.environ.get("POSTGRES_PASSWORD", "postgres"),
+            "HOST": os.environ.get("POSTGRES_HOST", "db"),
+            "PORT": os.environ.get("POSTGRES_PORT", "5432"),
+        }
+    }
+else:
+    # SQLite configuration for local development
+    DATABASES = {
         "default": {
             "ENGINE": "django.db.backends.sqlite3",
             "NAME": BASE_DIR / "db.sqlite3",
         }
-}
+    }
 
 # Password validation
+
 AUTH_PASSWORD_VALIDATORS = [
     {
         "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
@@ -104,12 +140,14 @@ AUTH_PASSWORD_VALIDATORS = [
 ]
 
 # Internationalization
+
 LANGUAGE_CODE = "en-US"
 TIME_ZONE = "Europe/Amsterdam"
 USE_I18N = True
 USE_TZ = True
 
 # Static files (CSS, JavaScript, Images)
+
 STATIC_URL = "static/"
 STATICFILES_DIRS = [
     os.path.join(BASE_DIR, "static"),
@@ -125,23 +163,28 @@ STORAGES = {
 }
 
 # Media files
+
 MEDIA_URL = "/media/"
 MEDIA_ROOT = os.path.join(BASE_DIR, "media")
 
 # Default primary key field type
+
 DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"
 
 # Crispy Forms
+
 CRISPY_ALLOWED_TEMPLATE_PACKS = "bootstrap5"
 CRISPY_TEMPLATE_PACK = "bootstrap5"
 
 # Authentication
+
 AUTH_USER_MODEL = "accounts.CustomUser"
 LOGIN_REDIRECT_URL = "dashboard"
 LOGOUT_REDIRECT_URL = "login"
 ACCOUNT_LOGOUT_ON_GET = True
 
 # django-allauth
+
 AUTHENTICATION_BACKENDS = [
     "django.contrib.auth.backends.ModelBackend",
     "allauth.account.auth_backends.AuthenticationBackend",
@@ -150,7 +193,9 @@ SITE_ID = 1
 ACCOUNT_EMAIL_VERIFICATION = "none"
 
 # Celery Configuration
+
 # Check if Redis is available
+
 try:
     import redis
 
@@ -168,8 +213,8 @@ try:
     logger.info("Using Redis for Celery broker and result backend")
 except (
     ImportError,
-    redis.exceptions.ConnectionError,
-    redis.exceptions.TimeoutError,
+    redis.exceptions.ConnectionError,  # type: ignore[attr-defined]
+    redis.exceptions.TimeoutError,  # type: ignore[attr-defined]
 ) as e:
     # Redis is not available, use SQLite as fallback (works for development)
     CELERY_BROKER_URL = os.environ.get("CELERY_BROKER_URL", "sqla+sqlite:///celery.sqlite")
@@ -184,6 +229,7 @@ CELERY_TIMEZONE = TIME_ZONE
 CELERY_BEAT_SCHEDULER = "django_celery_beat.schedulers:DatabaseScheduler"
 
 # Get schedule from environment variables or use defaults
+
 CHAT_DATA_FETCH_INTERVAL = int(os.environ.get("CHAT_DATA_FETCH_INTERVAL", 3600))  # Default: 1 hour
 
 CELERY_BEAT_SCHEDULE = {

dashboard_project/dashboard_project/wsgi.py

@@ -4,7 +4,7 @@ WSGI config for dashboard_project project.
 It exposes the WSGI callable as a module-level variable named ``application``.
 
 For more information on this file, see
-https://docs.djangoproject.com/en/4.0/howto/deployment/wsgi/
+<https://docs.djangoproject.com/en/4.0/howto/deployment/wsgi/>
 """
 
 import os

dashboard_project/data_integration/admin.py

@@ -52,10 +52,8 @@ class ExternalDataSourceAdmin(admin.ModelAdmin):
                 status,
             )
         else:
-            return format_html(
-                '<span style="color: white; background-color: orange; padding: 3px 8px; border-radius: 10px;">{}</span>',
-                status,
-            )
+            style = "color: white; background-color: orange; padding: 3px 8px; border-radius: 10px;"
+            return format_html(f'<span style="{style}">{{}}</span>', status)
 
     @admin.display(description="Actions")
     def refresh_action(self, obj):

dashboard_project/data_integration/management/commands/fix_datasource_schema.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+# !/usr/bin/env python
 """
 Migration Fix Script for ExternalDataSource
 
@@ -56,7 +56,8 @@ class Command(BaseCommand):
                         )
                     elif col == "sync_interval":
                         cursor.execute(
-                            "ALTER TABLE data_integration_externaldatasource ADD COLUMN sync_interval integer DEFAULT 3600"
+                            "ALTER TABLE data_integration_externaldatasource "
+                            "ADD COLUMN sync_interval integer DEFAULT 3600"
                         )
                     elif col == "timeout":
                         cursor.execute(

dashboard_project/data_integration/management/commands/setup_jumbo.py

@@ -0,0 +1,107 @@
+"""
+Management command to set up Jumbo company, users, and link existing data.
+"""
+
+from accounts.models import Company, CustomUser
+from data_integration.models import ChatSession, ExternalDataSource
+from django.core.management.base import BaseCommand
+
+
+class Command(BaseCommand):
+    help = "Set up Jumbo company, create users, and link existing external data"
+
+    def handle(self, *_args, **_options):
+        self.stdout.write("Setting up Jumbo company and data...")
+
+        # 1. Create Jumbo company
+        jumbo_company, created = Company.objects.get_or_create(
+            name="Jumbo", defaults={"description": "Jumbo Supermarkets - External API Data"}
+        )
+        if created:
+            self.stdout.write(self.style.SUCCESS("✓ Created Jumbo company"))
+        else:
+            self.stdout.write("  Jumbo company already exists")
+
+        # 2. Create admin user for Jumbo
+        admin_created = False
+        if not CustomUser.objects.filter(username="jumbo_admin").exists():
+            CustomUser.objects.create_user(  # nosec B106
+                username="jumbo_admin",
+                email="admin@jumbo.nl",
+                password="jumbo123",
+                company=jumbo_company,
+                is_company_admin=True,
+            )
+            self.stdout.write(self.style.SUCCESS("✓ Created Jumbo admin: jumbo_admin / jumbo123"))
+            admin_created = True
+        else:
+            self.stdout.write("  Jumbo admin already exists")
+
+        # 3. Create regular users for Jumbo
+        jumbo_users = [
+            {
+                "username": "jumbo_analyst",
+                "email": "analyst@jumbo.nl",
+                "password": "jumbo123",
+                "is_company_admin": False,
+            },
+            {
+                "username": "jumbo_manager",
+                "email": "manager@jumbo.nl",
+                "password": "jumbo123",
+                "is_company_admin": False,
+            },
+        ]
+
+        users_created = 0
+        for user_data in jumbo_users:
+            if not CustomUser.objects.filter(username=user_data["username"]).exists():
+                CustomUser.objects.create_user(
+                    username=user_data["username"],
+                    email=user_data["email"],
+                    password=user_data["password"],
+                    company=jumbo_company,
+                    is_company_admin=user_data["is_company_admin"],
+                )
+                users_created += 1
+
+        if users_created:
+            self.stdout.write(self.style.SUCCESS(f"✓ Created {users_created} Jumbo users"))
+        else:
+            self.stdout.write("  Jumbo users already exist")
+
+        # 4. Link External Data Source to Jumbo company
+        try:
+            jumbo_ext_source = ExternalDataSource.objects.get(name="Jumbo API")
+            if not jumbo_ext_source.company:
+                jumbo_ext_source.company = jumbo_company
+                jumbo_ext_source.save()
+                self.stdout.write(self.style.SUCCESS("✓ Linked Jumbo API data source to company"))
+            else:
+                self.stdout.write("  Jumbo API data source already linked")
+        except ExternalDataSource.DoesNotExist:
+            self.stdout.write(
+                self.style.WARNING("⚠ Jumbo API external data source not found. Create it in admin first.")
+            )
+
+        # 5. Link existing chat sessions to Jumbo company
+        unlinked_sessions = ChatSession.objects.filter(company__isnull=True)
+        if unlinked_sessions.exists():
+            count = unlinked_sessions.update(company=jumbo_company)
+            self.stdout.write(self.style.SUCCESS(f"✓ Linked {count} existing chat sessions to Jumbo company"))
+        else:
+            self.stdout.write("  All chat sessions already linked to companies")
+
+        # 6. Summary
+        total_sessions = ChatSession.objects.filter(company=jumbo_company).count()
+        total_users = CustomUser.objects.filter(company=jumbo_company).count()
+
+        self.stdout.write(
+            self.style.SUCCESS(
+                f"\n✓ Setup complete!"
+                f"\n  Company: {jumbo_company.name}"
+                f"\n  Users: {total_users} (including {1 if admin_created or CustomUser.objects.filter(username='jumbo_admin').exists() else 0} admin)"
+                f"\n  Chat sessions: {total_sessions}"
+            )
+        )
+        self.stdout.write("\nLogin as jumbo_admin/jumbo123 to view the dashboard with Jumbo data.")

dashboard_project/data_integration/management/commands/setup_jumbo_api.py

@@ -0,0 +1,69 @@
+"""
+Management command to set up Jumbo API external data source and fetch data.
+"""
+
+import os
+
+from accounts.models import Company
+from data_integration.models import ChatSession, ExternalDataSource
+from django.core.management.base import BaseCommand
+
+
+class Command(BaseCommand):
+    help = "Set up Jumbo API external data source and fetch chat data"
+
+    def handle(self, **options):  # noqa: ARG002
+        self.stdout.write("Setting up Jumbo API data source...")
+
+        # Get Jumbo company
+        try:
+            jumbo = Company.objects.get(name="Jumbo")
+            self.stdout.write(f"✓ Found Jumbo company (ID: {jumbo.id})")
+        except Company.DoesNotExist:
+            self.stdout.write(self.style.ERROR("✗ Jumbo company not found. Run setup_jumbo command first."))
+            return
+
+        # Create or get Jumbo API external data source
+        source, created = ExternalDataSource.objects.get_or_create(
+            name="Jumbo API",
+            defaults={
+                "company": jumbo,
+                "api_url": "https://proto.notso.ai/jumbo/chats",
+                "auth_username": os.environ.get("EXTERNAL_API_USERNAME", ""),
+                "auth_password": os.environ.get("EXTERNAL_API_PASSWORD", ""),
+                "is_active": True,
+            },
+        )
+
+        # Ensure company is set if already existed
+        if not created and not source.company:
+            source.company = jumbo
+            source.save()
+            self.stdout.write(self.style.SUCCESS(f"✓ Linked existing Jumbo API source to {jumbo.name}"))
+        elif created:
+            self.stdout.write(self.style.SUCCESS("✓ Created Jumbo API external data source"))
+        else:
+            self.stdout.write("✓ Jumbo API source already exists")
+
+        self.stdout.write(
+            f"\nData source details:"
+            f"\n  ID: {source.id}"
+            f"\n  Company: {source.company.name if source.company else 'None'}"
+            f"\n  Endpoint: {source.api_url}"
+            f"\n  Active: {source.is_active}"
+        )
+
+        # Fetch data (call the task synchronously)
+        self.stdout.write("\nFetching Jumbo chat data...")
+        try:
+            # Use .apply() or direct function call to run synchronously
+            from data_integration.utils import fetch_and_store_chat_data
+
+            result = fetch_and_store_chat_data(source.id)
+            self.stdout.write(self.style.SUCCESS(f"✓ Data fetch completed: {result}"))
+        except Exception as e:
+            self.stdout.write(self.style.ERROR(f"✗ Error fetching data: {e}"))
+
+        # Show summary
+        session_count = ChatSession.objects.filter(company=jumbo).count()
+        self.stdout.write(self.style.SUCCESS(f"\n✓ Setup complete!\n  Total Jumbo chat sessions: {session_count}"))

dashboard_project/data_integration/management/commands/sync_jumbo_to_dashboard.py

@@ -0,0 +1,106 @@
+"""
+Management command to sync Jumbo API data to dashboard app with proper company linking.
+"""
+
+from accounts.models import Company, CustomUser
+from dashboard.models import ChatSession, DataSource
+from data_integration.models import ChatSession as ExtChatSession
+from data_integration.models import ExternalDataSource
+from django.core.management.base import BaseCommand
+
+
+class Command(BaseCommand):
+    help = "Sync Jumbo API data to dashboard app with company linking"
+
+    def handle(self, *_args, **_options):
+        self.stdout.write("Starting Jumbo data sync to dashboard...")
+
+        # 1. Get or create Jumbo company
+        jumbo_company, created = Company.objects.get_or_create(
+            name="Jumbo", defaults={"description": "Jumbo Supermarkets - External API Data"}
+        )
+        if created:
+            self.stdout.write(self.style.SUCCESS("✓ Created Jumbo company"))
+        else:
+            self.stdout.write("  Jumbo company already exists")
+
+        # 2. Get Jumbo external data source
+        try:
+            jumbo_ext_source = ExternalDataSource.objects.get(name="Jumbo API")
+        except ExternalDataSource.DoesNotExist:
+            self.stdout.write(
+                self.style.ERROR("✗ Jumbo API external data source not found. Please create it in admin first.")
+            )
+            return
+
+        # 3. Get or create DataSource linked to Jumbo company
+        jumbo_datasource, created = DataSource.objects.get_or_create(
+            name="Jumbo API Data",
+            company=jumbo_company,
+            defaults={
+                "description": "Chat sessions from Jumbo external API",
+                "external_source": jumbo_ext_source,
+            },
+        )
+        if created:
+            self.stdout.write(self.style.SUCCESS("✓ Created Jumbo DataSource"))
+        else:
+            self.stdout.write("  Jumbo DataSource already exists")
+
+        # 4. Sync chat sessions from data_integration to dashboard
+        ext_sessions = ExtChatSession.objects.all()
+        synced_count = 0
+        skipped_count = 0
+
+        for ext_session in ext_sessions:
+            # Check if already synced
+            if ChatSession.objects.filter(data_source=jumbo_datasource, session_id=ext_session.session_id).exists():
+                skipped_count += 1
+                continue
+
+            # Create dashboard ChatSession
+            ChatSession.objects.create(
+                data_source=jumbo_datasource,
+                session_id=ext_session.session_id,
+                start_time=ext_session.start_time,
+                end_time=ext_session.end_time,
+                ip_address=ext_session.ip_address,
+                country=ext_session.country or "",
+                language=ext_session.language or "",
+                messages_sent=ext_session.messages_sent or 0,
+                sentiment=ext_session.sentiment or "",
+                escalated=ext_session.escalated or False,
+                forwarded_hr=ext_session.forwarded_hr or False,
+                full_transcript=ext_session.full_transcript_url or "",
+                avg_response_time=ext_session.avg_response_time,
+                tokens=ext_session.tokens or 0,
+                tokens_eur=ext_session.tokens_eur,
+                category=ext_session.category or "",
+                initial_msg=ext_session.initial_msg or "",
+                user_rating=str(ext_session.user_rating) if ext_session.user_rating else "",
+            )
+            synced_count += 1
+
+        self.stdout.write(
+            self.style.SUCCESS(f"✓ Synced {synced_count} chat sessions (skipped {skipped_count} existing)")
+        )
+
+        # 5. Create admin user for Jumbo company if needed
+        if not CustomUser.objects.filter(company=jumbo_company, is_company_admin=True).exists():
+            CustomUser.objects.create_user(  # nosec B106
+                username="jumbo_admin",
+                email="admin@jumbo.nl",
+                password="jumbo123",
+                company=jumbo_company,
+                is_company_admin=True,
+            )
+            self.stdout.write(self.style.SUCCESS("✓ Created Jumbo admin user: jumbo_admin / jumbo123"))
+        else:
+            self.stdout.write("  Jumbo admin user already exists")
+
+        self.stdout.write(
+            self.style.SUCCESS(
+                f"\n✓ Sync complete! Jumbo company now has {ChatSession.objects.filter(data_source__company=jumbo_company).count()} chat sessions"
+            )
+        )
+        self.stdout.write("\nLogin as jumbo_admin to view the dashboard with Jumbo data.")

dashboard_project/data_integration/management/commands/test_datasource_schema.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+# !/usr/bin/env python
 """
 Test the ExternalDataSource Model Schema
 

dashboard_project/data_integration/management/commands/test_redis.py

@@ -59,7 +59,7 @@ class Command(BaseCommand):
                 redis_client.delete(test_key)
             else:
                 self.stdout.write(self.style.ERROR("❌ Redis ping failed!"))
-        except redis.exceptions.ConnectionError as e:
+        except redis.exceptions.ConnectionError as e:  # type: ignore[attr-defined]
             self.stdout.write(self.style.ERROR(f"❌ Redis connection error: {e}"))
             self.stdout.write("Celery will use SQLite fallback if configured.")
         except ImportError:

dashboard_project/data_integration/migrations/0003_chatsession_company_externaldatasource_company.py

@@ -0,0 +1,38 @@
+# Generated by Django 5.2.7 on 2025-11-05 18:20
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("accounts", "0001_initial"),
+        ("data_integration", "0002_externaldatasource_error_count_and_more"),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name="chatsession",
+            name="company",
+            field=models.ForeignKey(
+                blank=True,
+                help_text="Company this session belongs to",
+                null=True,
+                on_delete=django.db.models.deletion.CASCADE,
+                related_name="external_chat_sessions",
+                to="accounts.company",
+            ),
+        ),
+        migrations.AddField(
+            model_name="externaldatasource",
+            name="company",
+            field=models.ForeignKey(
+                blank=True,
+                help_text="Company this data source belongs to",
+                null=True,
+                on_delete=django.db.models.deletion.CASCADE,
+                related_name="external_data_sources",
+                to="accounts.company",
+            ),
+        ),
+    ]

dashboard_project/data_integration/models.py

@@ -1,10 +1,19 @@
 import os
 
+from accounts.models import Company
 from django.db import models
 
 
 class ChatSession(models.Model):
     session_id = models.CharField(max_length=255, unique=True)
+    company = models.ForeignKey(
+        Company,
+        on_delete=models.CASCADE,
+        related_name="external_chat_sessions",
+        null=True,
+        blank=True,
+        help_text="Company this session belongs to",
+    )
     start_time = models.DateTimeField()
     end_time = models.DateTimeField()
     ip_address = models.GenericIPAddressField(null=True, blank=True)
@@ -39,6 +48,14 @@ class ChatMessage(models.Model):
 
 class ExternalDataSource(models.Model):
     name = models.CharField(max_length=255, default="External API")
+    company = models.ForeignKey(
+        Company,
+        on_delete=models.CASCADE,
+        related_name="external_data_sources",
+        null=True,
+        blank=True,
+        help_text="Company this data source belongs to",
+    )
     api_url = models.URLField(default="https://proto.notso.ai/jumbo/chats")
     auth_username = models.CharField(max_length=255, blank=True, null=True)
     auth_password = models.CharField(

dashboard_project/data_integration/tests.py

@@ -1 +1 @@
-# Create your tests here.
+# Create your tests here

dashboard_project/data_integration/utils.py

@@ -125,7 +125,10 @@ def fetch_and_store_chat_data(source_id=None):
 
             # If we couldn't parse the dates, log an error and skip this row
             if not start_time or not end_time:
-                error_msg = f"Could not parse date fields for session {data['session_id']}: start_time={data['start_time']}, end_time={data['end_time']}"
+                error_msg = (
+                    f"Could not parse date fields for session {data['session_id']}: "
+                    f"start_time={data['start_time']}, end_time={data['end_time']}"
+                )
                 logger.error(error_msg)
                 stats["errors"] += 1
                 continue
@@ -141,6 +144,7 @@ def fetch_and_store_chat_data(source_id=None):
             session, created = ChatSession.objects.update_or_create(
                 session_id=data["session_id"],
                 defaults={
+                    "company": source.company,  # Link to the company from the data source
                     "start_time": start_time,
                     "end_time": end_time,
                     "ip_address": data.get("ip_address"),
@@ -364,7 +368,8 @@ def parse_and_store_transcript_messages(session, transcript_content):
     # If no recognized patterns are found, try to intelligently split the transcript
     if not has_recognized_patterns and len(lines) > 0:
         logger.info(
-            f"No standard message patterns found in transcript for session {session.session_id}. Attempting intelligent split."
+            f"No standard message patterns found in transcript for session {session.session_id}. "
+            f"Attempting intelligent split."
         )
 
         # Try timestamp-based parsing if we have enough consistent timestamps

dashboard_project/data_integration/views.py

@@ -7,7 +7,7 @@ from .models import ExternalDataSource
 from .tasks import periodic_fetch_chat_data, refresh_specific_source
 from .utils import fetch_and_store_chat_data
 
-# Create your views here.
+# Create your views here
 
 
 def is_superuser(user):

dashboard_project/manage.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+# !/usr/bin/env python
 """Django's command-line utility for administrative tasks."""
 
 import os

dashboard_project/scripts/cleanup_duplicates.py

@@ -4,6 +4,7 @@ import os
 import sys
 
 # Add the project root to sys.path
+
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 
 os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")

dashboard_project/scripts/fix_dashboard_data.py

@@ -1,4 +1,5 @@
-#!/usr/bin/env python
+# !/usr/bin/env python
+
 # scripts/fix_dashboard_data.py
 
 import os
@@ -15,11 +16,13 @@ from django.db import transaction
 from django.utils.timezone import make_aware
 
 # Set up Django environment
+
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")
 django.setup()
 
 # SCRIPT CONFIG
+
 CREATE_TEST_DATA = False  # Set to True to create sample data if none exists
 COMPANY_NAME = "Notso AI"  # The company name to use
 

dashboard_project/scripts/setup_jumbo_api.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+"""
+Script to create Jumbo API external data source and fetch data.
+"""
+
+import os
+import sys
+
+import django
+
+# Setup Django
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dashboard_project.settings")
+django.setup()
+
+from accounts.models import Company  # noqa: E402
+from data_integration.models import ExternalDataSource  # noqa: E402
+from data_integration.tasks import refresh_specific_source  # noqa: E402
+
+
+def main():
+    print("Setting up Jumbo API data source...")
+
+    # Get Jumbo company
+    try:
+        jumbo = Company.objects.get(name="Jumbo")
+        print(f"✓ Found Jumbo company (ID: {jumbo.id})")
+    except Company.DoesNotExist:
+        print("✗ Jumbo company not found. Run setup_jumbo command first.")
+        return
+
+    # Create or get Jumbo API external data source
+    source, created = ExternalDataSource.objects.get_or_create(
+        name="Jumbo API",
+        defaults={
+            "company": jumbo,
+            "api_endpoint": "https://mijn.jumbo.com/api/chat/sessions",
+            "api_username": os.environ.get("EXTERNAL_API_USERNAME", ""),
+            "api_password": os.environ.get("EXTERNAL_API_PASSWORD", ""),
+            "is_active": True,
+        },
+    )
+
+    # Ensure company is set if already existed
+    if not created and not source.company:
+        source.company = jumbo
+        source.save()
+        print(f"✓ Linked existing Jumbo API source to {jumbo.name}")
+    elif created:
+        print("✓ Created Jumbo API external data source")
+    else:
+        print("✓ Jumbo API source already exists")
+
+    print("\nData source details:")
+    print(f"  ID: {source.id}")
+    print(f"  Company: {source.company.name if source.company else 'None'}")
+    print(f"  Endpoint: {source.api_endpoint}")
+    print(f"  Active: {source.is_active}")
+
+    # Fetch data
+    print("\nFetching Jumbo chat data...")
+    try:
+        result = refresh_specific_source(source.id)
+        print(f"✓ Data fetch completed: {result}")
+    except Exception as e:
+        print(f"✗ Error fetching data: {e}")
+
+    # Show summary
+    from data_integration.models import ChatSession
+
+    session_count = ChatSession.objects.filter(company=jumbo).count()
+    print("\n✓ Setup complete!")
+    print(f"  Total Jumbo chat sessions: {session_count}")
+
+
+if __name__ == "__main__":
+    main()

dashboard_project/static/css/dashboard.css

@@ -1,10 +1,11 @@
 /**
- * dashboard.css - Styles specific to dashboard functionality
+
+*   dashboard.css - Styles specific to dashboard functionality
  */
 
-/* Theme variables */
+/*Theme variables */
 :root {
-    /* Light theme (default) */
+  /* Light theme (default)*/
   --bg-color: #f8f9fa;
   --text-color: #212529;
   --card-bg: #ffffff;
@@ -26,7 +27,7 @@
     color 0.2s ease, background-color 0.2s ease, border-color 0.2s ease, box-shadow 0.2s ease;
 }
 
-/* Dark theme */
+/*Dark theme*/
 [data-bs-theme="dark"] {
   --bg-color: #212529;
   --text-color: #f8f9fa;
@@ -47,7 +48,7 @@
   --icon-color: #6ea8fe;
 }
 
-/* Apply theme variables */
+/*Apply theme variables*/
 body {
   background-color: var(--bg-color);
   color: var(--text-color);
@@ -91,7 +92,7 @@ body {
   background-color: var(--sidebar-bg) !important;
 }
 
-/* Sidebar navigation styling with dark mode support */
+/*Sidebar navigation styling with dark mode support*/
 .sidebar .nav-link {
   color: var(--text-color);
   transition: all 0.2s ease;
@@ -168,7 +169,7 @@ body {
   color: var(--text-color);
 }
 
-/* Footer */
+/*Footer*/
 footer {
   background-color: var(--card-bg);
   border-top: 1px solid var(--border-color);
@@ -182,7 +183,7 @@ footer {
   background-color: var(--navbar-bg);
 }
 
-/* Dashboard grid layout */
+/*Dashboard grid layout*/
 .dashboard-grid {
   display: grid;
   grid-template-columns: repeat(auto-fill, minmax(320px, 1fr));
@@ -193,7 +194,7 @@ footer {
   /* Increased gap */
 }
 
-/* Dashboard widget cards */
+/*Dashboard widget cards*/
 .dashboard-widget {
   display: flex;
 
@@ -254,7 +255,7 @@ footer {
   /* Consistent padding */
 }
 
-/* Chart widgets */
+/*Chart widgets*/
 .chart-widget .card-body {
   display: flex;
   flex-direction: column;
@@ -270,7 +271,7 @@ footer {
   /* Ensure it takes full width of card body */
 }
 
-/* Stat widgets / Stat Cards */
+/*Stat widgets / Stat Cards*/
 .stat-card {
   text-align: center;
   padding: 1.5rem;
@@ -319,7 +320,7 @@ footer {
   margin-bottom: 0;
 }
 
-/* Dashboard theme variations */
+/*Dashboard theme variations*/
 .dashboard-theme-light .card {
   background-color: #fff;
 }
@@ -344,7 +345,7 @@ footer {
   color: #adb5bd;
 }
 
-/* Time period selector */
+/*Time period selector*/
 .time-period-selector {
   display: flex;
   align-items: center;
@@ -367,7 +368,7 @@ footer {
   font-size: 0.875rem;
 }
 
-/* Custom metric selector */
+/*Custom metric selector*/
 .metric-selector {
   max-width: 100%;
   overflow-x: auto;
@@ -388,7 +389,7 @@ footer {
   border-radius: 0.25rem;
 }
 
-/* Dashboard loading states */
+/*Dashboard loading states*/
 .widget-placeholder {
   min-height: 300px;
   background: linear-gradient(90deg, #e9ecef 25%, #f8f9fa 50%, #e9ecef 75%);
@@ -413,7 +414,7 @@ footer {
   }
 }
 
-/* Dashboard empty states */
+/*Dashboard empty states*/
 .empty-state {
   padding: 2.5rem;
 
@@ -449,7 +450,7 @@ footer {
   margin-top: 1rem;
 }
 
-/* Responsive adjustments */
+/*Responsive adjustments*/
 @media (width <=767.98px) {
   .dashboard-grid {
     grid-template-columns: 1fr;
@@ -471,7 +472,7 @@ footer {
   }
 }
 
-/* Preserve colored background for stat cards in both themes */
+/*Preserve colored background for stat cards in both themes*/
 .col-md-3 .card.stats-card.bg-primary {
   background-color: var(--bs-primary) !important;
   color: white !important;
@@ -507,7 +508,7 @@ footer {
   color: var(--bs-dark) !important;
 }
 
-/* Stats Cards Alignment Fix (Bottom Align, No Overlap) */
+/*Stats Cards Alignment Fix (Bottom Align, No Overlap)*/
 .stats-row {
   display: flex;
   flex-wrap: wrap;

dashboard_project/static/css/style.css

@@ -1,8 +1,9 @@
 /**
- * style.css - Global styles for the application
+
+*   style.css - Global styles for the application
  */
 
-/* General Styles */
+/*General Styles*/
 body {
   font-family:
     -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif,
@@ -25,14 +26,14 @@ body {
   /* Ensures body takes at least full viewport height */
 }
 
-/* Navbar adjustments (if needed, Bootstrap usually handles this well) */
+/*Navbar adjustments (if needed, Bootstrap usually handles this well)*/
 .navbar {
   box-shadow: 0 2px 4px rgb(0 0 0 / 5%);
 
   /* Subtle shadow for depth */
 }
 
-/* Helper Classes */
+/*Helper Classes*/
 .text-truncate-2 {
   display: -webkit-box;
   -webkit-line-clamp: 2;
@@ -49,7 +50,7 @@ body {
   min-width: 150px;
 }
 
-/* Card styles */
+/*Card styles*/
 .card {
   border: 1px solid #e0e5e9;
 
@@ -91,7 +92,7 @@ body {
   font-weight: 600;
 }
 
-/* Sidebar enhancements */
+/*Sidebar enhancements*/
 .sidebar {
   background-color: #fff;
 
@@ -159,7 +160,7 @@ body {
   margin-top: 1rem;
 }
 
-/* Dashboard stats cards */
+/*Dashboard stats cards*/
 .stats-card {
   border-radius: 0.5rem;
   overflow: hidden;
@@ -176,14 +177,14 @@ body {
   opacity: 0.8;
 }
 
-/* Chart containers */
+/*Chart containers*/
 .chart-container {
   width: 100%;
   height: 300px;
   position: relative;
 }
 
-/* Loading overlay */
+/*Loading overlay*/
 .loading-overlay {
   position: fixed;
   top: 0;
@@ -197,7 +198,7 @@ body {
   z-index: 9999;
 }
 
-/* Table enhancements */
+/*Table enhancements*/
 .table {
   border-color: #e0e5e9;
 }
@@ -224,7 +225,7 @@ body {
   /* Consistent hover with sidebar */
 }
 
-/* Form improvements */
+/*Form improvements*/
 .form-control,
 .form-select {
   border-color: #ced4da;
@@ -246,7 +247,7 @@ body {
   /* Bootstrap focus shadow */
 }
 
-/* Button styling */
+/*Button styling*/
 .btn {
   border-radius: 0.375rem;
 
@@ -281,13 +282,13 @@ body {
   border-color: #545b62;
 }
 
-/* Alert styling */
+/*Alert styling*/
 .alert {
   border-radius: 0.375rem;
   padding: 0.9rem 1.25rem;
 }
 
-/* Chat transcript styling */
+/*Chat transcript styling*/
 .chat-transcript {
   background-color: #f8f9fa;
   border: 1px solid #e9ecef;
@@ -304,7 +305,7 @@ body {
   margin-bottom: 0;
 }
 
-/* Footer styling */
+/*Footer styling*/
 footer {
   background-color: #fff;
 
@@ -318,7 +319,7 @@ footer {
   /* Added for sticky footer */
 }
 
-/* Responsive adjustments */
+/*Responsive adjustments*/
 @media (width <=767.98px) {
   .main-content {
     margin-left: 0;
@@ -337,7 +338,7 @@ footer {
   }
 }
 
-/* Print styles */
+/*Print styles*/
 @media print {
   .sidebar,
   .navbar,

dashboard_project/static/js/ajax-navigation.js

@@ -1,18 +1,59 @@
 /**
- * ajax-navigation.js - JavaScript for AJAX-based navigation across the entire application
- *
- * This script handles AJAX navigation between pages in the Chat Analytics Dashboard.
- * It intercepts link clicks, loads content via AJAX, and updates the browser history.
+
+*   ajax-navigation.js - JavaScript for AJAX-based navigation across the entire application
+*
+*   This script handles AJAX navigation between pages in the Chat Analytics Dashboard.
+*   It intercepts link clicks, loads content via AJAX, and updates the browser history.
  */
 
-document.addEventListener("DOMContentLoaded", function () {
-    // Only initialize if AJAX navigation is enabled
-    if (typeof ENABLE_AJAX_NAVIGATION !== "undefined" && ENABLE_AJAX_NAVIGATION) {
-        setupAjaxNavigation();
+// Function to reload and execute scripts in new content
+function reloadScripts(container) {
+  const scripts = container.getElementsByTagName("script");
+  for (let script of scripts) {
+    const newScript = document.createElement("script");
+
+    // Copy all attributes
+    Array.from(script.attributes).forEach((attr) => {
+      newScript.setAttribute(attr.name, attr.value);
+    });
+
+    // Copy inline script content
+    newScript.textContent = script.textContent;
+
+    // Replace old script with new one
+    script.parentNode.replaceChild(newScript, script);
+  }
+}
+
+// Function to initialize scripts needed for the new page content
+function initializePageScripts() {
+  // Re-initialize any custom scripts that might be needed
+  if (typeof setupAjaxPagination === "function") {
+    setupAjaxPagination();
   }
 
-    // Function to set up AJAX navigation for the application
-    function setupAjaxNavigation() {
+  // Initialize Bootstrap tooltips, popovers, etc.
+  if (typeof bootstrap !== "undefined") {
+    // Initialize tooltips
+    const tooltipTriggerList = [].slice.call(
+      document.querySelectorAll('[data-bs-toggle="tooltip"]'),
+    );
+    tooltipTriggerList.map(function (tooltipTriggerEl) {
+      return new bootstrap.Tooltip(tooltipTriggerEl);
+    });
+
+    // Initialize popovers
+    const popoverTriggerList = [].slice.call(
+      document.querySelectorAll('[data-bs-toggle="popover"]'),
+    );
+    popoverTriggerList.map(function (popoverTriggerEl) {
+      return new bootstrap.Popover(popoverTriggerEl);
+    });
+  }
+}
+
+// Function to set up AJAX navigation for the application
+function setupAjaxNavigation() {
   // Configuration
   const config = {
     mainContentSelector: "#main-content", // Selector for the main content area
@@ -85,8 +126,7 @@ document.addEventListener("DOMContentLoaded", function () {
       },
     })
       .then((response) => {
-                    if (!response.ok)
-                        throw new Error(`Network response was not ok: ${response.status}`);
+        if (!response.ok) throw new Error(`Network response was not ok: ${response.status}`);
         return response.text();
       })
       .then((html) => {
@@ -122,25 +162,6 @@ document.addEventListener("DOMContentLoaded", function () {
       });
   }
 
-        // Function to reload and execute scripts in new content
-        function reloadScripts(container) {
-            const scripts = container.getElementsByTagName("script");
-            for (let script of scripts) {
-                const newScript = document.createElement("script");
-
-                // Copy all attributes
-                Array.from(script.attributes).forEach((attr) => {
-                    newScript.setAttribute(attr.name, attr.value);
-                });
-
-                // Copy inline script content
-                newScript.textContent = script.textContent;
-
-                // Replace old script with new one
-                script.parentNode.replaceChild(newScript, script);
-            }
-        }
-
   // Function to handle form submissions
   function handleFormSubmission(form, e) {
     e.preventDefault();
@@ -204,33 +225,6 @@ document.addEventListener("DOMContentLoaded", function () {
     }
   }
 
-        // Function to initialize scripts needed for the new page content
-        function initializePageScripts() {
-            // Re-initialize any custom scripts that might be needed
-            if (typeof setupAjaxPagination === "function") {
-                setupAjaxPagination();
-            }
-
-            // Initialize Bootstrap tooltips, popovers, etc.
-            if (typeof bootstrap !== "undefined") {
-                // Initialize tooltips
-                const tooltipTriggerList = [].slice.call(
-                    document.querySelectorAll('[data-bs-toggle="tooltip"]'),
-                );
-                tooltipTriggerList.map(function (tooltipTriggerEl) {
-                    return new bootstrap.Tooltip(tooltipTriggerEl);
-                });
-
-                // Initialize popovers
-                const popoverTriggerList = [].slice.call(
-                    document.querySelectorAll('[data-bs-toggle="popover"]'),
-                );
-                popoverTriggerList.map(function (popoverTriggerEl) {
-                    return new bootstrap.Popover(popoverTriggerEl);
-                });
-            }
-        }
-
   // Function to attach event listeners to forms and links
   function attachEventListeners() {
     // Handle AJAX navigation links
@@ -270,5 +264,11 @@ document.addEventListener("DOMContentLoaded", function () {
       handlePageNavigation(window.location.href, false);
     }
   });
+}
+
+document.addEventListener("DOMContentLoaded", function () {
+  // Only initialize if AJAX navigation is enabled
+  if (typeof ENABLE_AJAX_NAVIGATION !== "undefined" && ENABLE_AJAX_NAVIGATION) {
+    setupAjaxNavigation();
   }
 });

dashboard_project/static/js/ajax-pagination.js

@@ -5,12 +5,8 @@
  * It intercepts pagination link clicks, loads content via AJAX, and updates the browser history.
  */
 
-document.addEventListener("DOMContentLoaded", function () {
-    // Initialize AJAX pagination
-    setupAjaxPagination();
-
-    // Function to set up AJAX pagination for the entire application
-    function setupAjaxPagination() {
+// Function to set up AJAX pagination for the entire application
+function setupAjaxPagination() {
   // Configuration - can be customized per page if needed
   const config = {
     contentContainerId: "ajax-content-container", // ID of the container to update
@@ -102,5 +98,9 @@ document.addEventListener("DOMContentLoaded", function () {
       handleAjaxNavigation(window.location.href);
     }
   });
-    }
+}
+
+document.addEventListener("DOMContentLoaded", function () {
+  // Initialize AJAX pagination
+  setupAjaxPagination();
 });

dashboard_project/static/js/dashboard.js

@@ -1,25 +1,23 @@
 /**
- * dashboard.js - JavaScript for the dashboard functionality
- *
- * This file handles the interactive features of the dashboard,
- * including chart refreshing, dashboard filtering, and dashboard
- * customization.
+
+*   dashboard.js - JavaScript for the dashboard functionality
+*
+*   This file handles the interactive features of the dashboard,
+*   including chart refreshing, dashboard filtering, and dashboard
+*   customization.
  */
 
-document.addEventListener("DOMContentLoaded", function () {
-    // Set up Plotly default config based on theme
-    function updatePlotlyTheme() {
+// Set up Plotly default config based on theme
+function updatePlotlyTheme() {
   // Force a fresh check of the current theme
   const isDarkMode = document.documentElement.getAttribute("data-bs-theme") === "dark";
-        console.log(
-            "updatePlotlyTheme called - Current theme mode:",
-            isDarkMode ? "dark" : "light",
-        );
+  console.log("updatePlotlyTheme called - Current theme mode:", isDarkMode ? "dark" : "light");
 
   window.plotlyDefaultLayout = {
     font: {
       color: isDarkMode ? "#f8f9fa" : "#212529",
-                family: '-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif',
+      family:
+        '-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif',
     },
     paper_bgcolor: isDarkMode ? "#343a40" : "#ffffff",
     plot_bgcolor: isDarkMode ? "#343a40" : "#ffffff",
@@ -101,30 +99,10 @@ document.addEventListener("DOMContentLoaded", function () {
       orientation: "h",
     },
   };
-    }
+}
 
-    // Initialize theme setting
-    updatePlotlyTheme();
-
-    // Listen for theme changes
-    const observer = new MutationObserver(function (mutations) {
-        mutations.forEach(function (mutation) {
-            if (mutation.attributeName === "data-bs-theme") {
-                console.log(
-                    "Theme changed detected by observer:",
-                    document.documentElement.getAttribute("data-bs-theme"),
-                );
-                updatePlotlyTheme();
-                // Use a small delay to ensure styles have been applied
-                setTimeout(refreshAllCharts, 100);
-            }
-        });
-    });
-
-    observer.observe(document.documentElement, { attributes: true });
-
-    // Chart responsiveness
-    function resizeCharts() {
+// Chart responsiveness
+function resizeCharts() {
   const charts = document.querySelectorAll(".chart-container");
   charts.forEach((chart) => {
     if (chart.id && window.Plotly) {
@@ -134,165 +112,10 @@ document.addEventListener("DOMContentLoaded", function () {
       });
     }
   });
-    }
+}
 
-    // Refresh all charts with current theme
-    function refreshAllCharts() {
-        if (!window.Plotly) return;
-
-        const currentTheme = document.documentElement.getAttribute("data-bs-theme");
-        console.log("Refreshing charts with theme:", currentTheme);
-
-        // Update the theme settings
-        updatePlotlyTheme();
-
-        const charts = document.querySelectorAll(".chart-container");
-        charts.forEach(function (chart) {
-            if (chart.id) {
-                try {
-                    // Safe way to check if element has a plot
-                    const plotElement = document.getElementById(chart.id);
-                    if (plotElement && plotElement._fullLayout) {
-                        console.log("Updating chart theme for:", chart.id);
-
-                        // Determine chart type to apply appropriate settings
-                        let layoutUpdate = { ...window.plotlyDefaultLayout };
-
-                        // Check if it's a bar chart
-                        if (
-                            plotElement.data &&
-                            plotElement.data.some((trace) => trace.type === "bar")
-                        ) {
-                            layoutUpdate = { ...window.plotlyBarConfig };
-                        }
-
-                        // Check if it's a pie chart
-                        if (
-                            plotElement.data &&
-                            plotElement.data.some((trace) => trace.type === "pie")
-                        ) {
-                            layoutUpdate = { ...window.plotlyPieConfig };
-                        }
-
-                        // Force paper and plot background colors based on current theme
-                        // This ensures the chart background always matches the current theme
-                        layoutUpdate.paper_bgcolor =
-                            currentTheme === "dark" ? "#343a40" : "#ffffff";
-                        layoutUpdate.plot_bgcolor = currentTheme === "dark" ? "#343a40" : "#ffffff";
-
-                        // Update font colors too
-                        layoutUpdate.font.color = currentTheme === "dark" ? "#f8f9fa" : "#212529";
-
-                        // Apply layout updates
-                        Plotly.relayout(chart.id, layoutUpdate);
-                    }
-                } catch (e) {
-                    console.error("Error updating chart theme:", e);
-                }
-            }
-        });
-    }
-
-    // Make refreshAllCharts available globally
-    window.refreshAllCharts = refreshAllCharts;
-
-    // Handle window resize
-    window.addEventListener("resize", function () {
-        if (window.Plotly) {
-            resizeCharts();
-        }
-    });
-
-    // Call resizeCharts on initial load
-    if (window.Plotly) {
-        // Use a longer delay to ensure charts are fully loaded
-        setTimeout(function () {
-            updatePlotlyTheme();
-            refreshAllCharts();
-        }, 300);
-    }
-
-    // Apply theme to newly created charts
-    const originalPlotlyNewPlot = Plotly.newPlot;
-    Plotly.newPlot = function () {
-        const args = Array.from(arguments);
-        // Get the layout argument (3rd argument)
-        if (args.length >= 3 && typeof args[2] === "object") {
-            // Ensure plotlyDefaultLayout is up to date
-            updatePlotlyTheme();
-            // Apply current theme to new plot
-            args[2] = { ...window.plotlyDefaultLayout, ...args[2] };
-        }
-        return originalPlotlyNewPlot.apply(this, args);
-    };
-
-    // Time range filtering
-    const timeRangeDropdown = document.getElementById("timeRangeDropdown");
-    if (timeRangeDropdown) {
-        const timeRangeLinks = timeRangeDropdown.querySelectorAll(".dropdown-item");
-        timeRangeLinks.forEach((link) => {
-            link.addEventListener("click", function (e) {
-                const url = new URL(this.href);
-                const dashboardId = url.searchParams.get("dashboard_id");
-                const timeRange = url.searchParams.get("time_range");
-
-                // Fetch updated data via AJAX
-                if (dashboardId) {
-                    fetchDashboardData(dashboardId, timeRange);
-                    e.preventDefault();
-                }
-            });
-        });
-    }
-
-    // Function to fetch dashboard data
-    function fetchDashboardData(dashboardId, timeRange) {
-        const loadingOverlay = document.createElement("div");
-        loadingOverlay.className = "loading-overlay";
-        loadingOverlay.innerHTML =
-            '<div class="spinner-border text-primary" role="status"><span class="visually-hidden">Loading...</span></div>';
-        document.querySelector("main").appendChild(loadingOverlay);
-
-        fetch(`/dashboard/api/dashboard/${dashboardId}/data/?time_range=${timeRange || "all"}`)
-            .then((response) => {
-                if (!response.ok) {
-                    throw new Error(`Network response was not ok: ${response.status}`);
-                }
-                return response.json();
-            })
-            .then((data) => {
-                console.log("Dashboard API response:", data);
-                updateDashboardStats(data);
-                updateDashboardCharts(data);
-
-                // Update URL without page reload
-                const url = new URL(window.location.href);
-                url.searchParams.set("dashboard_id", dashboardId);
-                if (timeRange) {
-                    url.searchParams.set("time_range", timeRange);
-                }
-                window.history.pushState({}, "", url);
-
-                document.querySelector(".loading-overlay").remove();
-            })
-            .catch((error) => {
-                console.error("Error fetching dashboard data:", error);
-                document.querySelector(".loading-overlay").remove();
-
-                // Show error message
-                const alertElement = document.createElement("div");
-                alertElement.className = "alert alert-danger alert-dismissible fade show";
-                alertElement.setAttribute("role", "alert");
-                alertElement.innerHTML = `
-                    Error loading dashboard data. Please try again.
-                    <button type="button" class="btn-close" data-bs-dismiss="alert" aria-label="Close"></button>
-                `;
-                document.querySelector("main").prepend(alertElement);
-            });
-    }
-
-    // Function to update dashboard statistics
-    function updateDashboardStats(data) {
+// Function to update dashboard statistics
+function updateDashboardStats(data) {
   // Update total sessions
   const totalSessionsElement = document.querySelector(".stats-card:nth-child(1) h3");
   if (totalSessionsElement) {
@@ -316,10 +139,10 @@ document.addEventListener("DOMContentLoaded", function () {
   if (totalCostElement) {
     totalCostElement.textContent = "€" + data.total_cost;
   }
-    }
+}
 
-    // Function to update dashboard charts
-    function updateDashboardCharts(data) {
+// Function to update dashboard charts
+function updateDashboardCharts(data) {
   // Check if Plotly is available
   if (!window.Plotly) {
     console.error("Plotly library not loaded!");
@@ -465,6 +288,175 @@ document.addEventListener("DOMContentLoaded", function () {
       },
     );
   }
+}
+
+document.addEventListener("DOMContentLoaded", function () {
+  // Initialize theme setting
+  updatePlotlyTheme();
+
+  // Listen for theme changes
+  const observer = new MutationObserver(function (mutations) {
+    mutations.forEach(function (mutation) {
+      if (mutation.attributeName === "data-bs-theme") {
+        console.log(
+          "Theme changed detected by observer:",
+          document.documentElement.getAttribute("data-bs-theme"),
+        );
+        updatePlotlyTheme();
+        // Use a small delay to ensure styles have been applied
+        setTimeout(refreshAllCharts, 100);
+      }
+    });
+  });
+
+  observer.observe(document.documentElement, { attributes: true });
+
+  // Refresh all charts with current theme
+  function refreshAllCharts() {
+    if (!window.Plotly) return;
+
+    const currentTheme = document.documentElement.getAttribute("data-bs-theme");
+    console.log("Refreshing charts with theme:", currentTheme);
+
+    // Update the theme settings
+    updatePlotlyTheme();
+
+    const charts = document.querySelectorAll(".chart-container");
+    charts.forEach(function (chart) {
+      if (chart.id) {
+        try {
+          // Safe way to check if element has a plot
+          const plotElement = document.getElementById(chart.id);
+          if (plotElement && plotElement._fullLayout) {
+            console.log("Updating chart theme for:", chart.id);
+
+            // Determine chart type to apply appropriate settings
+            let layoutUpdate = { ...window.plotlyDefaultLayout };
+
+            // Check if it's a bar chart
+            if (plotElement.data && plotElement.data.some((trace) => trace.type === "bar")) {
+              layoutUpdate = { ...window.plotlyBarConfig };
+            }
+
+            // Check if it's a pie chart
+            if (plotElement.data && plotElement.data.some((trace) => trace.type === "pie")) {
+              layoutUpdate = { ...window.plotlyPieConfig };
+            }
+
+            // Force paper and plot background colors based on current theme
+            // This ensures the chart background always matches the current theme
+            layoutUpdate.paper_bgcolor = currentTheme === "dark" ? "#343a40" : "#ffffff";
+            layoutUpdate.plot_bgcolor = currentTheme === "dark" ? "#343a40" : "#ffffff";
+
+            // Update font colors too
+            layoutUpdate.font.color = currentTheme === "dark" ? "#f8f9fa" : "#212529";
+
+            // Apply layout updates
+            Plotly.relayout(chart.id, layoutUpdate);
+          }
+        } catch (e) {
+          console.error("Error updating chart theme:", e);
+        }
+      }
+    });
+  }
+
+  // Make refreshAllCharts available globally
+  window.refreshAllCharts = refreshAllCharts;
+
+  // Handle window resize
+  window.addEventListener("resize", function () {
+    if (window.Plotly) {
+      resizeCharts();
+    }
+  });
+
+  // Call resizeCharts on initial load
+  if (window.Plotly) {
+    // Use a longer delay to ensure charts are fully loaded
+    setTimeout(function () {
+      updatePlotlyTheme();
+      refreshAllCharts();
+    }, 300);
+  }
+
+  // Apply theme to newly created charts
+  const originalPlotlyNewPlot = Plotly.newPlot;
+  Plotly.newPlot = function () {
+    const args = Array.from(arguments);
+    // Get the layout argument (3rd argument)
+    if (args.length >= 3 && typeof args[2] === "object") {
+      // Ensure plotlyDefaultLayout is up to date
+      updatePlotlyTheme();
+      // Apply current theme to new plot
+      args[2] = { ...window.plotlyDefaultLayout, ...args[2] };
+    }
+    return originalPlotlyNewPlot.apply(this, args);
+  };
+
+  // Time range filtering
+  const timeRangeDropdown = document.getElementById("timeRangeDropdown");
+  if (timeRangeDropdown) {
+    const timeRangeLinks = timeRangeDropdown.querySelectorAll(".dropdown-item");
+    timeRangeLinks.forEach((link) => {
+      link.addEventListener("click", function (e) {
+        const url = new URL(this.href);
+        const dashboardId = url.searchParams.get("dashboard_id");
+        const timeRange = url.searchParams.get("time_range");
+
+        // Fetch updated data via AJAX
+        if (dashboardId) {
+          fetchDashboardData(dashboardId, timeRange);
+          e.preventDefault();
+        }
+      });
+    });
+  }
+
+  // Function to fetch dashboard data
+  function fetchDashboardData(dashboardId, timeRange) {
+    const loadingOverlay = document.createElement("div");
+    loadingOverlay.className = "loading-overlay";
+    loadingOverlay.innerHTML =
+      '<div class="spinner-border text-primary" role="status"><span class="visually-hidden">Loading...</span></div>';
+    document.querySelector("main").appendChild(loadingOverlay);
+
+    fetch(`/dashboard/api/dashboard/${dashboardId}/data/?time_range=${timeRange || "all"}`)
+      .then((response) => {
+        if (!response.ok) {
+          throw new Error(`Network response was not ok: ${response.status}`);
+        }
+        return response.json();
+      })
+      .then((data) => {
+        console.log("Dashboard API response:", data);
+        updateDashboardStats(data);
+        updateDashboardCharts(data);
+
+        // Update URL without page reload
+        const url = new URL(window.location.href);
+        url.searchParams.set("dashboard_id", dashboardId);
+        if (timeRange) {
+          url.searchParams.set("time_range", timeRange);
+        }
+        window.history.pushState({}, "", url);
+
+        document.querySelector(".loading-overlay").remove();
+      })
+      .catch((error) => {
+        console.error("Error fetching dashboard data:", error);
+        document.querySelector(".loading-overlay").remove();
+
+        // Show error message
+        const alertElement = document.createElement("div");
+        alertElement.className = "alert alert-danger alert-dismissible fade show";
+        alertElement.setAttribute("role", "alert");
+        alertElement.innerHTML = `
+                    Error loading dashboard data. Please try again.
+                    <button type="button" class="btn-close" data-bs-dismiss="alert" aria-label="Close"></button>
+                `;
+        document.querySelector("main").prepend(alertElement);
+      });
   }
 
   // Dashboard selector

dashboard_project/static/js/main.js

@@ -1,20 +1,73 @@
 /**
- * main.js - Global JavaScript functionality
- *
- * This file contains general JavaScript functionality used across
- * the entire application, including navigation, forms, and UI interactions.
+
+*   main.js - Global JavaScript functionality
+*
+*   This file contains general JavaScript functionality used across
+*   the entire application, including navigation, forms, and UI interactions.
  */
 
+// Handle sidebar collapse on small screens
+function handleSidebarOnResize() {
+  if (window.innerWidth < 768) {
+    document.querySelector(".sidebar")?.classList.remove("show");
+  }
+}
+
+// Theme toggling functionality
+function setTheme(theme, isUserPreference = false) {
+  console.log("Setting theme to:", theme, "User preference:", isUserPreference);
+
+  // Update the HTML attribute that controls theme
+  document.documentElement.setAttribute("data-bs-theme", theme);
+
+  // Save the theme preference to localStorage
+  localStorage.setItem("theme", theme);
+
+  // If this was a user choice (from the toggle button), record that fact
+  if (isUserPreference) {
+    localStorage.setItem("userPreferredTheme", "true");
+  }
+
+  // Update toggle button icon
+  const themeToggle = document.getElementById("theme-toggle");
+  if (themeToggle) {
+    const icon = themeToggle.querySelector("i");
+    if (theme === "dark") {
+      icon.classList.remove("fa-moon");
+      icon.classList.add("fa-sun");
+      themeToggle.setAttribute("title", "Switch to light mode");
+      themeToggle.setAttribute("aria-label", "Switch to light mode");
+    } else {
+      icon.classList.remove("fa-sun");
+      icon.classList.add("fa-moon");
+      themeToggle.setAttribute("title", "Switch to dark mode");
+      themeToggle.setAttribute("aria-label", "Switch to dark mode");
+    }
+  }
+
+  // If we're on a page with charts, refresh them to match the theme
+  if (typeof window.refreshAllCharts === "function") {
+    console.log("Calling refresh charts from theme toggle");
+    // Add a small delay to ensure DOM updates have completed
+    setTimeout(() => window.refreshAllCharts(), 100);
+  }
+}
+
+// Check if the user has a system preference for dark mode
+function getSystemPreference() {
+  return window.matchMedia("(prefers-color-scheme: dark)").matches ? "dark" : "light";
+}
+
 document.addEventListener("DOMContentLoaded", function () {
   // Initialize tooltips
   var tooltipTriggerList = [].slice.call(document.querySelectorAll('[data-bs-toggle="tooltip"]'));
-    var tooltipList = tooltipTriggerList.map(function (tooltipTriggerEl) {
+  tooltipTriggerList.map(function (tooltipTriggerEl) {
     return new bootstrap.Tooltip(tooltipTriggerEl);
   });
 
   // Initialize popovers
   var popoverTriggerList = [].slice.call(document.querySelectorAll('[data-bs-toggle="popover"]'));
-    var popoverList = popoverTriggerList.map(function (popoverTriggerEl) {
+  popoverTriggerList.map(function (popoverTriggerEl) {
     return new bootstrap.Popover(popoverTriggerEl);
   });
 
@@ -74,7 +127,7 @@ document.addEventListener("DOMContentLoaded", function () {
   // File input customization
   const fileInputs = document.querySelectorAll(".custom-file-input");
   fileInputs.forEach(function (input) {
-        input.addEventListener("change", function (e) {
+    input.addEventListener("change", function () {
       const fileName = this.files[0]?.name || "Choose file";
       const nextSibling = this.nextElementSibling;
       if (nextSibling) {
@@ -135,63 +188,13 @@ document.addEventListener("DOMContentLoaded", function () {
 
   const exportLinks = document.querySelectorAll("[data-export]");
   exportLinks.forEach(function (link) {
-        link.addEventListener("click", function (e) {
+    link.addEventListener("click", function () {
       // Handle export functionality if needed
       console.log("Export requested:", this.dataset.export);
     });
   });
 
-    // Handle sidebar collapse on small screens
-    function handleSidebarOnResize() {
-        if (window.innerWidth < 768) {
-            document.querySelector(".sidebar")?.classList.remove("show");
-        }
-    }
-
-    window.addEventListener("resize", handleSidebarOnResize); // Theme toggling functionality
-    function setTheme(theme, isUserPreference = false) {
-        console.log("Setting theme to:", theme, "User preference:", isUserPreference);
-
-        // Update the HTML attribute that controls theme
-        document.documentElement.setAttribute("data-bs-theme", theme);
-
-        // Save the theme preference to localStorage
-        localStorage.setItem("theme", theme);
-
-        // If this was a user choice (from the toggle button), record that fact
-        if (isUserPreference) {
-            localStorage.setItem("userPreferredTheme", "true");
-        }
-
-        // Update toggle button icon
-        const themeToggle = document.getElementById("theme-toggle");
-        if (themeToggle) {
-            const icon = themeToggle.querySelector("i");
-            if (theme === "dark") {
-                icon.classList.remove("fa-moon");
-                icon.classList.add("fa-sun");
-                themeToggle.setAttribute("title", "Switch to light mode");
-                themeToggle.setAttribute("aria-label", "Switch to light mode");
-            } else {
-                icon.classList.remove("fa-sun");
-                icon.classList.add("fa-moon");
-                themeToggle.setAttribute("title", "Switch to dark mode");
-                themeToggle.setAttribute("aria-label", "Switch to dark mode");
-            }
-        }
-
-        // If we're on a page with charts, refresh them to match the theme
-        if (typeof window.refreshAllCharts === "function") {
-            console.log("Calling refresh charts from theme toggle");
-            // Add a small delay to ensure DOM updates have completed
-            setTimeout(window.refreshAllCharts, 100);
-        }
-    }
-
-    // Check if the user has a system preference for dark mode
-    function getSystemPreference() {
-        return window.matchMedia("(prefers-color-scheme: dark)").matches ? "dark" : "light";
-    }
+  window.addEventListener("resize", handleSidebarOnResize);
 
   // Initialize theme based on saved preference or system setting
   function initializeTheme() {

dashboard_project/templates/accounts/login.html

@@ -1,3 +1,4 @@
+{% load crispy_forms_filters %}
 <!-- templates/accounts/login.html -->
 {% extends 'base.html' %} {% load crispy_forms_tags %}
 {% block title %}

dashboard_project/wsgi.py

@@ -4,7 +4,7 @@ WSGI config for dashboard_project project.
 It exposes the WSGI callable as a module-level variable named ``application``.
 
 For more information on this file, see
-https://docs.djangoproject.com/en/4.0/howto/deployment/wsgi/
+<https://docs.djangoproject.com/en/4.0/howto/deployment/wsgi/>
 """
 
 import os

dev.sh

@@ -1,10 +1,13 @@
-#!/bin/bash
+#!/usr/bin/env bash
+
 # LiveGraphsDjango Development Helper Script
 
 # Set UV_LINK_MODE to copy to avoid hardlink warnings
+
 export UV_LINK_MODE=copy
 
 # Function to print section header
+
 print_header() {
   echo "======================================"
   echo "🚀 $1"
@@ -12,6 +15,7 @@ print_header() {
 }
 
 # Display help menu
+
 if [[ $1 == "help" ]] || [[ $1 == "-h" ]] || [[ $1 == "--help" ]] || [[ -z $1 ]]; then
   print_header "LiveGraphsDjango Development Commands"
   echo "Usage: ./dev.sh COMMAND"
@@ -33,6 +37,7 @@ if [[ $1 == "help" ]] || [[ $1 == "-h" ]] || [[ $1 == "--help" ]] || [[ -z $1 ]]
 fi
 
 # Start Redis server
+
 if [[ $1 == "redis-start" ]]; then
   print_header "Starting Redis Server"
   redis-server --daemonize yes
@@ -46,6 +51,7 @@ if [[ $1 == "redis-start" ]]; then
 fi
 
 # Test Redis connection
+
 if [[ $1 == "redis-test" ]]; then
   print_header "Testing Redis Connection"
   cd dashboard_project && python manage.py test_redis
@@ -53,6 +59,7 @@ if [[ $1 == "redis-test" ]]; then
 fi
 
 # Stop Redis server
+
 if [[ $1 == "redis-stop" ]]; then
   print_header "Stopping Redis Server"
   redis-cli shutdown
@@ -61,6 +68,7 @@ if [[ $1 == "redis-stop" ]]; then
 fi
 
 # Run migrations
+
 if [[ $1 == "migrate" ]]; then
   print_header "Running Migrations"
   cd dashboard_project && UV_LINK_MODE=copy uv run python manage.py migrate
@@ -68,6 +76,7 @@ if [[ $1 == "migrate" ]]; then
 fi
 
 # Make migrations
+
 if [[ $1 == "makemigrations" ]]; then
   print_header "Creating Migrations"
   cd dashboard_project && UV_LINK_MODE=copy uv run python manage.py makemigrations
@@ -75,6 +84,7 @@ if [[ $1 == "makemigrations" ]]; then
 fi
 
 # Create superuser
+
 if [[ $1 == "superuser" ]]; then
   print_header "Creating Superuser"
   cd dashboard_project && UV_LINK_MODE=copy uv run python manage.py createsuperuser
@@ -82,6 +92,7 @@ if [[ $1 == "superuser" ]]; then
 fi
 
 # Test Celery
+
 if [[ $1 == "test-celery" ]]; then
   print_header "Testing Celery"
   cd dashboard_project && UV_LINK_MODE=copy uv run python manage.py test_celery
@@ -89,6 +100,7 @@ if [[ $1 == "test-celery" ]]; then
 fi
 
 # View Celery logs
+
 if [[ $1 == "logs-celery" ]]; then
   print_header "Celery Worker Logs"
   echo "Press Ctrl+C to exit"
@@ -97,6 +109,7 @@ if [[ $1 == "logs-celery" ]]; then
 fi
 
 # View Celery Beat logs
+
 if [[ $1 == "logs-beat" ]]; then
   print_header "Celery Beat Logs"
   echo "Press Ctrl+C to exit"
@@ -105,6 +118,7 @@ if [[ $1 == "logs-beat" ]]; then
 fi
 
 # Django shell
+
 if [[ $1 == "shell" ]]; then
   print_header "Django Shell"
   cd dashboard_project && UV_LINK_MODE=copy uv run python manage.py shell
@@ -112,6 +126,7 @@ if [[ $1 == "shell" ]]; then
 fi
 
 # Start the application
+
 if [[ $1 == "start" ]]; then
   print_header "Starting LiveGraphsDjango Application"
   ./start.sh
@@ -119,6 +134,7 @@ if [[ $1 == "start" ]]; then
 fi
 
 # Invalid command
+
 echo "❌ Unknown command: $1"
 echo "Run './dev.sh help' to see available commands"
 exit 1

docker-compose.yml

@@ -1,22 +1,23 @@
 # docker-compose.yml
 
-version: "3.8"
-
 services:
   web:
     build: .
-    command: gunicorn dashboard_project.wsgi:application --bind 0.0.0.0:8000
+    command: uv run gunicorn dashboard_project.wsgi:application --bind 0.0.0.0:8000 --chdir dashboard_project
     volumes:
-      - .:/app
       - static_volume:/app/staticfiles
       - media_volume:/app/media
     ports:
       - 8000:8000
+    env_file:
+      - .env
     environment:
-      - DEBUG=0
-      - SECRET_KEY=your_secret_key_here
-      - ALLOWED_HOSTS=localhost,127.0.0.1
-      - DJANGO_SETTINGS_MODULE=dashboard_project.settings
+      - DATABASE_URL=postgresql://postgres:postgres@db:5432/dashboard_db
+      - POSTGRES_DB=dashboard_db
+      - POSTGRES_USER=postgres
+      - POSTGRES_PASSWORD=postgres
+      - POSTGRES_HOST=db
+      - POSTGRES_PORT=5432
       - CELERY_BROKER_URL=redis://redis:6379/0
       - CELERY_RESULT_BACKEND=redis://redis:6379/0
     depends_on:
@@ -24,7 +25,7 @@ services:
       - redis
 
   db:
-    image: postgres:13
+    image: postgres:alpine
     volumes:
       - postgres_data:/var/lib/postgresql/data/
     environment:
@@ -35,7 +36,7 @@ services:
       - 5432:5432
 
   redis:
-    image: redis:7-alpine
+    image: redis:alpine
     ports:
       - 6379:6379
     volumes:
@@ -48,12 +49,16 @@ services:
 
   celery:
     build: .
-    command: celery -A dashboard_project worker --loglevel=info
-    volumes:
-      - .:/app
+    command: uv run celery -A dashboard_project worker --loglevel=info --workdir dashboard_project
+    env_file:
+      - .env
     environment:
-      - DEBUG=0
-      - DJANGO_SETTINGS_MODULE=dashboard_project.settings
+      - DATABASE_URL=postgresql://postgres:postgres@db:5432/dashboard_db
+      - POSTGRES_DB=dashboard_db
+      - POSTGRES_USER=postgres
+      - POSTGRES_PASSWORD=postgres
+      - POSTGRES_HOST=db
+      - POSTGRES_PORT=5432
       - CELERY_BROKER_URL=redis://redis:6379/0
       - CELERY_RESULT_BACKEND=redis://redis:6379/0
     depends_on:
@@ -62,12 +67,16 @@ services:
 
   celery-beat:
     build: .
-    command: celery -A dashboard_project beat --scheduler django_celery_beat.schedulers:DatabaseScheduler
-    volumes:
-      - .:/app
+    command: uv run celery -A dashboard_project beat --scheduler django_celery_beat.schedulers:DatabaseScheduler --workdir dashboard_project
+    env_file:
+      - .env
     environment:
-      - DEBUG=0
-      - DJANGO_SETTINGS_MODULE=dashboard_project.settings
+      - DATABASE_URL=postgresql://postgres:postgres@db:5432/dashboard_db
+      - POSTGRES_DB=dashboard_db
+      - POSTGRES_USER=postgres
+      - POSTGRES_PASSWORD=postgres
+      - POSTGRES_HOST=db
+      - POSTGRES_PORT=5432
       - CELERY_BROKER_URL=redis://redis:6379/0
       - CELERY_RESULT_BACKEND=redis://redis:6379/0
     depends_on:

docs/CELERY_REDIS.md

@@ -1,6 +1,7 @@
 # Redis and Celery Configuration
 
-This document explains how to set up and use Redis and Celery for background task processing in the LiveGraphs application.
+This document explains how to set up and use Redis and Celery for background task processing in the LiveGraphs
+application.
 
 ## Overview
 
@@ -72,7 +73,8 @@ Download and install from [microsoftarchive/redis](https://github.com/microsofta
 
 ### SQLite Fallback
 
-If Redis is not available, the application will automatically fall back to using SQLite for Celery tasks. This works well for development but is not recommended for production.
+If Redis is not available, the application will automatically fall back to using SQLite for Celery tasks. This works
+well for development but is not recommended for production.
 
 ## Configuration
 

docs/TROUBLESHOOTING.md

@@ -54,7 +54,8 @@ If this fails, check the following:
 
 ## Fixing CSV Data Processing Issues
 
-If you see the error `zip() argument 2 is shorter than argument 1`, it means the data format doesn't match the expected headers. We've implemented a fix that:
+If you see the error `zip() argument 2 is shorter than argument 1`, it means the data format doesn't match the expected
+headers. We've implemented a fix that:
 
 1. Pads shorter rows with empty strings
 2. Uses more flexible date format parsing

opencode.json

@@ -0,0 +1,96 @@
+{
+  "$schema": "https://opencode.ai/config.json",
+  "mcp": {
+    "playwright-test": {
+      "type": "local",
+      "command": ["npx", "playwright", "run-test-mcp-server"],
+      "enabled": true
+    }
+  },
+  "tools": {
+    "playwright*": false
+  },
+  "agent": {
+    "playwright-test-generator": {
+      "description": "Use this agent when you need to create automated browser tests using Playwright",
+      "mode": "subagent",
+      "prompt": "{file:.opencode/prompts/playwright-test-generator.md}",
+      "tools": {
+        "ls": true,
+        "glob": true,
+        "grep": true,
+        "read": true,
+        "playwright-test*browser_click": true,
+        "playwright-test*browser_drag": true,
+        "playwright-test*browser_evaluate": true,
+        "playwright-test*browser_file_upload": true,
+        "playwright-test*browser_handle_dialog": true,
+        "playwright-test*browser_hover": true,
+        "playwright-test*browser_navigate": true,
+        "playwright-test*browser_press_key": true,
+        "playwright-test*browser_select_option": true,
+        "playwright-test*browser_snapshot": true,
+        "playwright-test*browser_type": true,
+        "playwright-test*browser_verify_element_visible": true,
+        "playwright-test*browser_verify_list_visible": true,
+        "playwright-test*browser_verify_text_visible": true,
+        "playwright-test*browser_verify_value": true,
+        "playwright-test*browser_wait_for": true,
+        "playwright-test*generator_read_log": true,
+        "playwright-test*generator_setup_page": true,
+        "playwright-test*generator_write_test": true
+      }
+    },
+    "playwright-test-healer": {
+      "description": "Use this agent when you need to debug and fix failing Playwright tests",
+      "mode": "subagent",
+      "prompt": "{file:.opencode/prompts/playwright-test-healer.md}",
+      "tools": {
+        "ls": true,
+        "glob": true,
+        "grep": true,
+        "read": true,
+        "write": true,
+        "edit": true,
+        "playwright-test*browser_console_messages": true,
+        "playwright-test*browser_evaluate": true,
+        "playwright-test*browser_generate_locator": true,
+        "playwright-test*browser_network_requests": true,
+        "playwright-test*browser_snapshot": true,
+        "playwright-test*test_debug": true,
+        "playwright-test*test_list": true,
+        "playwright-test*test_run": true
+      }
+    },
+    "playwright-test-planner": {
+      "description": "Use this agent when you need to create comprehensive test plan for a web application or website",
+      "mode": "subagent",
+      "prompt": "{file:.opencode/prompts/playwright-test-planner.md}",
+      "tools": {
+        "ls": true,
+        "glob": true,
+        "grep": true,
+        "read": true,
+        "write": true,
+        "playwright-test*browser_click": true,
+        "playwright-test*browser_close": true,
+        "playwright-test*browser_console_messages": true,
+        "playwright-test*browser_drag": true,
+        "playwright-test*browser_evaluate": true,
+        "playwright-test*browser_file_upload": true,
+        "playwright-test*browser_handle_dialog": true,
+        "playwright-test*browser_hover": true,
+        "playwright-test*browser_navigate": true,
+        "playwright-test*browser_navigate_back": true,
+        "playwright-test*browser_network_requests": true,
+        "playwright-test*browser_press_key": true,
+        "playwright-test*browser_select_option": true,
+        "playwright-test*browser_snapshot": true,
+        "playwright-test*browser_take_screenshot": true,
+        "playwright-test*browser_type": true,
+        "playwright-test*browser_wait_for": true,
+        "playwright-test*planner_setup_page": true
+      }
+    }
+  }
+}

package.json

@@ -1,35 +1,32 @@
 {
-    "devDependencies": {
-        "markdownlint-cli2": "^0.18.1",
-        "prettier": "^3.5.3",
-        "prettier-plugin-jinja-template": "^2.1.0"
-    },
+  "name": "livegraphs-django",
+  "private": true,
   "scripts": {
-        "format": "prettier --write .",
-        "format:check": "prettier --check .",
-        "lint:md": "markdownlint-cli2 \"**/*.md\" \"!.trunk/**\" \"!.venv/**\" \"!node_modules/**\"",
-        "lint:md:fix": "markdownlint-cli2  --fix \"**/*.md\" \"!.trunk/**\" \"!.venv/**\" \"!node_modules/**\""
+    "format": "prettier --write .; bun format:py",
+    "format:check": "prettier --check .; bun format:py -- --check",
+    "format:py": "uvx ruff format",
+    "lint:js": "oxlint",
+    "lint:js:fix": "bun lint:js -- --fix",
+    "lint:js:strict": "oxlint --import-plugin -D correctness -W suspicious",
+    "lint:md": "markdownlint-cli2 \"**/*.md\" \"#node_modules\" \"#.{node_modules,trunk,grit,venv,opencode,github/chatmodes,claude/agents}\"",
+    "lint:md:fix": "bun lint:md -- --fix",
+    "lint:py": "uvx ruff check",
+    "lint:py:fix": "uvx ruff check --fix",
+    "typecheck:js": "oxlint --type-aware",
+    "typecheck:js:fix": "bun typecheck:js -- --fix",
+    "typecheck:py": "uvx ty check"
   },
-    "markdownlint-cli2": {
-        "config": {
-            "MD007": {
-                "indent": 4,
-                "start_indented": false,
-                "start_indent": 4
+  "devDependencies": {
+    "@playwright/test": "^1.56.1",
+    "@types/bun": "latest",
+    "markdownlint-cli2": "^0.18.1",
+    "oxlint": "^1.25.0",
+    "oxlint-tsgolint": "^0.5.0",
+    "prettier": "^3.6.2",
+    "prettier-plugin-jinja-template": "^2.1.0",
+    "prettier-plugin-packagejson": "^2.5.19"
   },
-            "MD013": false,
-            "MD030": {
-                "ul_single": 3,
-                "ol_single": 2,
-                "ul_multi": 3,
-                "ol_multi": 2
-            },
-            "MD033": false
-        },
-        "ignores": [
-            "node_modules",
-            ".git",
-            "*.json"
-        ]
+  "peerDependencies": {
+    "typescript": "^5"
   }
 }

pyproject.toml

@@ -4,65 +4,127 @@ version = "0.1.0"
 description = "Live Graphs Django Dashboard"
 readme = "README.md"
 requires-python = ">=3.13"
-authors = [{ name = "LiveGraphs Team" }]
 license = { text = "MIT" }
-
+authors = [{ name = "LiveGraphs Team" }]
 classifiers = [
-  "Programming Language :: Python :: 3",
-  "Programming Language :: Python :: 3.13",
   "Framework :: Django",
   "Framework :: Django :: 5.2",
   "License :: OSI Approved :: MIT License",
   "Operating System :: OS Independent",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.13",
 ]
-
 dependencies = [
-  "bleach[css]>=6.2.0",
-  "celery[sqlalchemy]>=5.5.2",
-  "crispy-bootstrap5>=2025.4",
-  "django>=5.2.1",
-  "django-allauth>=65.8.0",
+  "bleach[css]>=6.3.0",
+  "celery[sqlalchemy]>=5.5.3",
+  "crispy-bootstrap5>=2025.6",
+  "django>=5.2.7",
+  "django-allauth>=65.13.0",
   "django-celery-beat>=2.8.1",
   "django-crispy-forms>=2.4",
   "gunicorn>=23.0.0",
-  "numpy>=2.2.5",
-  "pandas>=2.2.3",
-  "plotly>=6.1.0",
-  "python-dotenv>=1.1.0",
-  "redis>=6.1.0",
-  "requests>=2.32.3",
-  "sqlalchemy>=2.0.41",
+  "numpy>=2.3.4",
+  "pandas>=2.3.3",
+  "plotly>=6.4.0",
+  "psycopg2-binary>=2.9.11",
+  "python-dotenv>=1.2.1",
+  "redis>=7.0.1",
+  "requests>=2.32.5",
+  "sqlalchemy>=2.0.44",
   "tinycss2>=1.4.0",
-  "whitenoise>=6.9.0",
-  "xlsxwriter>=3.2.3",
+  "whitenoise>=6.11.0",
+  "xlsxwriter>=3.2.9",
 ]
 
+[project.urls]
+"Bug Tracker" = "https://github.com/kjanat/livegraphsdjango/issues"
+"Documentation" = "https://github.com/kjanat/livegraphsdjango#readme"
+"Source" = "https://github.com/kjanat/livegraphsdjango"
+
+[project.scripts]
+# Django management commands
+livegraphs-manage = "dashboard_project.manage:main"
+livegraphs-migrate = "dashboard_project.__main__:migrate"
+livegraphs-server = "dashboard_project.__main__:runserver"
+livegraphs-shell = "dashboard_project.__main__:shell"
+
 [dependency-groups]
 dev = [
-  "bandit>=1.8.3",
-  "black>=25.1.0",
-  "coverage>=7.8.0",
-  "django-debug-toolbar>=5.2.0",
-  "django-stubs>=5.2.0",
-  "mypy>=1.15.0",
-  "pre-commit>=4.2.0",
-  "pytest>=8.3.5",
+  "bandit>=1.8.6",
+  "black>=25.9.0",
+  "coverage>=7.11.0",
+  "django-debug-toolbar>=6.1.0",
+  "django-stubs>=5.2.7",
+  "mypy>=1.18.2",
+  "pre-commit>=4.3.0",
+  "pytest>=8.4.2",
   "pytest-django>=4.11.1",
-  "ruff>=0.11.10",
+  "ruff>=0.14.3",
+  "ty>=0.0.1a25",
 ]
 
 [build-system]
 requires = ["setuptools>=69.0.0", "wheel>=0.42.0"]
 build-backend = "setuptools.build_meta"
 
-[tool.setuptools]
-packages = ["dashboard_project"]
+[tool.bandit]
+exclude_dirs = [
+  "tests",
+  "venv",
+  ".venv",
+  ".git",
+  "__pycache__",
+  "migrations",
+  "**/create_sample_data.py",
+]
+skips = ["B101"]
+targets = ["dashboard_project"]
 
-[tool.setuptools.package-data]
-"dashboard_project" = ["static/**/*", "templates/**/*", "media/**/*"]
+[tool.coverage.run]
+source = ["dashboard_project"]
+omit = [
+  "dashboard_project/manage.py",
+  "dashboard_project/*/migrations/*",
+  "dashboard_project/*/tests/*",
+]
+
+[tool.coverage.report]
+exclude_lines = [
+  "pragma: no cover",
+  "def __repr__",
+  "raise NotImplementedError",
+  "if __name__ == .__main__.:",
+  "pass",
+  "raise ImportError",
+]
+
+[tool.django-stubs]
+django_settings_module = "dashboard_project.settings"
+
+[tool.mypy]
+python_version = "3.13"
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = false
+disallow_incomplete_defs = false
+plugins = ["mypy_django_plugin.main"]
+
+[[tool.mypy.overrides]]
+module = ["django.*", "rest_framework.*"]
+ignore_missing_imports = true
+
+[tool.pytest.ini_options]
+filterwarnings = [
+  "ignore::DeprecationWarning",
+  "ignore::PendingDeprecationWarning",
+]
+python_files = "test_*.py"
+testpaths = ["dashboard_project"]
+DJANGO_SETTINGS_MODULE = "dashboard_project.settings"
 
 [tool.ruff]
-# Exclude a variety of commonly ignored directories.
+preview = true
+# Exclude a variety of commonly ignored directories
 exclude = [
   ".bzr",
   ".direnv",
@@ -91,11 +153,9 @@ exclude = [
   "site-packages",
   "venv",
 ]
-
-# Same as Black.
+# Same as Black
 line-length = 120
 indent-width = 4
-
 # Assume Python 3.13
 target-version = "py313"
 
@@ -110,62 +170,13 @@ quote-style = "double"
 indent-style = "space"
 line-ending = "lf"
 
-[tool.bandit]
-exclude_dirs = [
-  "tests",
-  "venv",
-  ".venv",
-  ".git",
-  "__pycache__",
-  "migrations",
-  "**/create_sample_data.py",
+[tool.setuptools]
+packages = ["dashboard_project"]
+
+[tool.setuptools.package-data]
+"dashboard_project" = [
+  "static/**/*",
+  "templates/**/*",
+  "media/**/*",
+  "py.typed"
 ]
-skips = ["B101"]
-targets = ["dashboard_project"]
-
-[tool.mypy]
-python_version = "3.13"
-warn_return_any = true
-warn_unused_configs = true
-disallow_untyped_defs = false
-disallow_incomplete_defs = false
-plugins = ["mypy_django_plugin.main"]
-
-[[tool.mypy.overrides]]
-module = ["django.*", "rest_framework.*"]
-ignore_missing_imports = true
-
-[tool.django-stubs]
-django_settings_module = "dashboard_project.settings"
-
-[tool.pytest.ini_options]
-DJANGO_SETTINGS_MODULE = "dashboard_project.settings"
-python_files = "test_*.py"
-testpaths = ["dashboard_project"]
-filterwarnings = [
-  "ignore::DeprecationWarning",
-  "ignore::PendingDeprecationWarning",
-]
-
-[tool.coverage.run]
-source = ["dashboard_project"]
-omit = [
-  "dashboard_project/manage.py",
-  "dashboard_project/*/migrations/*",
-  "dashboard_project/*/tests/*",
-]
-
-[tool.coverage.report]
-exclude_lines = [
-  "pragma: no cover",
-  "def __repr__",
-  "raise NotImplementedError",
-  "if __name__ == .__main__.:",
-  "pass",
-  "raise ImportError",
-]
-
-[project.urls]
-"Documentation" = "https://github.com/kjanat/livegraphsdjango#readme"
-"Source" = "https://github.com/kjanat/livegraphsdjango"
-"Bug Tracker" = "https://github.com/kjanat/livegraphsdjango/issues"

requirements.txt

@@ -5,65 +5,83 @@ amqp==5.3.1 \
     --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \
     --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432
     # via kombu
-asgiref==3.8.1 \
-    --hash=sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47 \
-    --hash=sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590
+asgiref==3.10.0 \
+    --hash=sha256:aef8a81283a34d0ab31630c9b7dfe70c812c95eba78171367ca8745e88124734 \
+    --hash=sha256:d89f2d8cd8b56dada7d52fa7dc8075baa08fb836560710d38c292a7a3f78c04e
     # via
     #   django
     #   django-allauth
-    #   django-stubs
-bandit==1.8.3 \
-    --hash=sha256:28f04dc0d258e1dd0f99dee8eefa13d1cb5e3fde1a5ab0c523971f97b289bcd8 \
-    --hash=sha256:f5847beb654d309422985c36644649924e0ea4425c76dec2e89110b87506193a
-billiard==4.2.1 \
-    --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \
-    --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb
+bandit==1.8.6 \
+    --hash=sha256:3348e934d736fcdb68b6aa4030487097e23a501adf3e7827b63658df464dddd0 \
+    --hash=sha256:dbfe9c25fc6961c2078593de55fd19f2559f9e45b99f1272341f5b95dea4e56b
+billiard==4.2.2 \
+    --hash=sha256:4bc05dcf0d1cc6addef470723aac2a6232f3c7ed7475b0b580473a9145829457 \
+    --hash=sha256:e815017a062b714958463e07ba15981d802dc53d41c5b69d28c5a7c238f8ecf3
     # via celery
-black==25.1.0 \
-    --hash=sha256:030b9759066a4ee5e5aca28c3c77f9c64789cdd4de8ac1df642c40b708be6171 \
-    --hash=sha256:33496d5cd1222ad73391352b4ae8da15253c5de89b93a80b3e2c8d9a19ec2666 \
-    --hash=sha256:8f0b18a02996a836cc9c9c78e5babec10930862827b1b724ddfe98ccf2f2fe4f \
-    --hash=sha256:95e8176dae143ba9097f351d174fdaf0ccd29efb414b362ae3fd72bf0f710717 \
-    --hash=sha256:a22f402b410566e2d1c950708c77ebf5ebd5d0d88a6a2e87c86d9fb48afa0d18 \
-    --hash=sha256:afebb7098bfbc70037a053b91ae8437c3857482d3a690fefc03e9ff7aa9a5fd3
-bleach==6.2.0 \
-    --hash=sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e \
-    --hash=sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f
+black==25.9.0 \
+    --hash=sha256:0172a012f725b792c358d57fe7b6b6e8e67375dd157f64fa7a3097b3ed3e2175 \
+    --hash=sha256:0474bca9a0dd1b51791fcc507a4e02078a1c63f6d4e4ae5544b9848c7adfb619 \
+    --hash=sha256:3bec74ee60f8dfef564b573a96b8930f7b6a538e846123d5ad77ba14a8d7a64f \
+    --hash=sha256:474b34c1342cdc157d307b56c4c65bce916480c4a8f6551fdc6bf9b486a7c4ae \
+    --hash=sha256:846d58e3ce7879ec1ffe816bb9df6d006cd9590515ed5d17db14e17666b2b357 \
+    --hash=sha256:b756fc75871cb1bcac5499552d771822fd9db5a2bb8db2a7247936ca48f39831
+bleach==6.3.0 \
+    --hash=sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22 \
+    --hash=sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6
     # via livegraphsdjango
-celery==5.5.2 \
-    --hash=sha256:4d6930f354f9d29295425d7a37261245c74a32807c45d764bedc286afd0e724e \
-    --hash=sha256:54425a067afdc88b57cd8d94ed4af2ffaf13ab8c7680041ac2c4ac44357bdf4c
+celery==5.5.3 \
+    --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \
+    --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5
     # via
     #   django-celery-beat
     #   livegraphsdjango
-certifi==2025.4.26 \
-    --hash=sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6 \
-    --hash=sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3
+certifi==2025.10.5 \
+    --hash=sha256:0f212c2744a9bb6de0c56639a6f68afe01ecd92d91f14ae897c4fe7bbeeef0de \
+    --hash=sha256:47c09d31ccf2acf0be3f701ea53595ee7e0b8fa08801c6624be771df09ae7b43
     # via requests
 cfgv==3.4.0 \
     --hash=sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9 \
     --hash=sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560
     # via pre-commit
-charset-normalizer==3.4.2 \
-    --hash=sha256:1c95a1e2902a8b722868587c0e1184ad5c55631de5afc0eb96bc4b0d738092c0 \
-    --hash=sha256:289200a18fa698949d2b39c671c2cc7a24d44096784e76614899a7ccf2574b7b \
-    --hash=sha256:32fc0341d72e0f73f80acb0a2c94216bd704f4f0bce10aedea38f30502b271ff \
-    --hash=sha256:3fddb7e2c84ac87ac3a947cb4e66d143ca5863ef48e4a5ecb83bd48619e4634e \
-    --hash=sha256:4a476b06fbcf359ad25d34a057b7219281286ae2477cc5ff5e3f70a246971148 \
-    --hash=sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63 \
-    --hash=sha256:6c9379d65defcab82d07b2a9dfbfc2e95bc8fe0ebb1b176a3190230a3ef0e07c \
-    --hash=sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0 \
-    --hash=sha256:926ca93accd5d36ccdabd803392ddc3e03e6d4cd1cf17deff3b989ab8e9dbcf0 \
-    --hash=sha256:98f862da73774290f251b9df8d11161b6cf25b599a66baf087c1ffe340e9bfd1 \
-    --hash=sha256:aa6af9e7d59f9c12b33ae4e9450619cf2488e2bbe9b44030905877f0b2324980 \
-    --hash=sha256:aaeeb6a479c7667fbe1099af9617c83aaca22182d6cf8c53966491a0f1b7ffb7 \
-    --hash=sha256:e635b87f01ebc977342e2697d05b56632f5f879a4f15955dfe8cef2448b51691 \
-    --hash=sha256:eba9904b0f38a143592d9fc0e19e2df0fa2e41c3c3745554761c5f6447eedabf \
-    --hash=sha256:ef8de666d6179b009dce7bcb2ad4c4a779f113f12caf8dc77f0162c29d20490b
+charset-normalizer==3.4.4 \
+    --hash=sha256:2b7d8f6c26245217bd2ad053761201e9f9680f8ce52f0fcd8d0755aeae5b2152 \
+    --hash=sha256:3162d5d8ce1bb98dd51af660f2121c55d0fa541b46dff7bb9b9f86ea1d87de72 \
+    --hash=sha256:362d61fd13843997c1c446760ef36f240cf81d3ebf74ac62652aebaf7838561e \
+    --hash=sha256:47cc91b2f4dd2833fddaedd2893006b0106129d4b94fdb6af1f4ce5a9965577c \
+    --hash=sha256:542d2cee80be6f80247095cc36c418f7bddd14f4a6de45af91dfad36d817bba2 \
+    --hash=sha256:554af85e960429cf30784dd47447d5125aaa3b99a6f0683589dbd27e2f45da44 \
+    --hash=sha256:5bd2293095d766545ec1a8f612559f6b40abc0eb18bb2f5d1171872d34036ede \
+    --hash=sha256:6b39f987ae8ccdf0d2642338faf2abb1862340facc796048b604ef14919e55ed \
+    --hash=sha256:74018750915ee7ad843a774364e13a3db91682f26142baddf775342c3f5b1133 \
+    --hash=sha256:74664978bb272435107de04e36db5a9735e78232b85b77d45cfb38f758efd33e \
+    --hash=sha256:752944c7ffbfdd10c074dc58ec2d5a8a4cd9493b314d367c14d24c17684ddd14 \
+    --hash=sha256:799a7a5e4fb2d5898c60b640fd4981d6a25f1c11790935a44ce38c54e985f828 \
+    --hash=sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f \
+    --hash=sha256:81d5eb2a312700f4ecaa977a8235b634ce853200e828fbadf3a9c50bab278328 \
+    --hash=sha256:82004af6c302b5d3ab2cfc4cc5f29db16123b1a8417f2e25f9066f91d4411090 \
+    --hash=sha256:8a6562c3700cce886c5be75ade4a5db4214fda19fede41d9792d100288d8f94c \
+    --hash=sha256:8af65f14dc14a79b924524b1e7fffe304517b2bff5a58bf64f30b98bbc5079eb \
+    --hash=sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a \
+    --hash=sha256:99ae2cffebb06e6c22bdc25801d7b30f503cc87dbd283479e7b606f70aff57ec \
+    --hash=sha256:9a26f18905b8dd5d685d6d07b0cdf98a79f3c7a918906af7cc143ea2e164c8bc \
+    --hash=sha256:9b35f4c90079ff2e2edc5b26c0c77925e5d2d255c42c74fdb70fb49b172726ac \
+    --hash=sha256:a8a8b89589086a25749f471e6a900d3f662d1d3b6e2e59dcecf787b1cc3a1894 \
+    --hash=sha256:b435cba5f4f750aa6c0a0d92c541fb79f69a387c91e61f1795227e4ed9cece14 \
+    --hash=sha256:bc7637e2f80d8530ee4a78e878bce464f70087ce73cf7c1caf142416923b98f1 \
+    --hash=sha256:c0463276121fdee9c49b98908b3a89c39be45d86d1dbaa22957e38f6321d4ce3 \
+    --hash=sha256:c8ae8a0f02f57a6e61203a31428fa1d677cbe50c93622b4149d5c0f319c1d19e \
+    --hash=sha256:cb6254dc36b47a990e59e1068afacdcd02958bdcce30bb50cc1700a8b9d624a6 \
+    --hash=sha256:d1f13550535ad8cff21b8d757a3257963e951d96e20ec82ab44bc64aeb62a191 \
+    --hash=sha256:da3326d9e65ef63a817ecbcc0df6e94463713b754fe293eaa03da99befb9a5bd \
+    --hash=sha256:de00632ca48df9daf77a2c65a484531649261ec9f25489917f09e455cb09ddb2 \
+    --hash=sha256:e1f185f86a6f3403aa2420e815904c67b2f9ebc443f045edd0de921108345794 \
+    --hash=sha256:ecaae4149d99b1c9e7b88bb03e3221956f68fd6d50be2ef061b2381b61d20838 \
+    --hash=sha256:f8bf04158c6b607d747e93949aa60618b61312fe647a6369f88ce2ff16043490 \
+    --hash=sha256:f9d332f8c2a2fcbffe1378594431458ddbef721c1769d78e2cbc06280d8155f9
     # via requests
-click==8.2.0 \
-    --hash=sha256:6b303f0b2aa85f1cb4e5303078fadcbcd4e476f114fab9b5007005711839325c \
-    --hash=sha256:f5452aeddd9988eefa20f90f05ab66f17fce1ee2a36907fd30b05bbb5953814d
+click==8.3.0 \
+    --hash=sha256:9b9f285302c6e3064f4330c05f05b81945b2a39544279343e6e7c5f27a9baddc \
+    --hash=sha256:e7b8232224eba16f4ebe410c25ced9f7875cb5f3263ffc93cc3e8da705e229c4
     # via
     #   black
     #   celery
@@ -74,9 +92,9 @@ click-didyoumean==0.3.1 \
     --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \
     --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c
     # via celery
-click-plugins==1.1.1 \
-    --hash=sha256:46ab999744a9d831159c3411bb0c79346d94a444df9a3a3742e9ed63645f264b \
-    --hash=sha256:5d262006d3222f5057fd81e1623d4443e41dcda5dc815c06b442aa3c02889fc8
+click-plugins==1.1.1.2 \
+    --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \
+    --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261
     # via celery
 click-repl==0.3.0 \
     --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \
@@ -89,44 +107,76 @@ colorama==0.4.6 ; sys_platform == 'win32' \
     #   bandit
     #   click
     #   pytest
-coverage==7.8.0 \
-    --hash=sha256:04bfec25a8ef1c5f41f5e7e5c842f6b615599ca8ba8391ec33a9290d9d2db3a3 \
-    --hash=sha256:18c5ae6d061ad5b3e7eef4363fb27a0576012a7447af48be6c75b88494c6cf25 \
-    --hash=sha256:2e4b6b87bb0c846a9315e3ab4be2d52fac905100565f4b92f02c445c8799e257 \
-    --hash=sha256:379fe315e206b14e21db5240f89dc0774bdd3e25c3c58c2c733c99eca96f1ada \
-    --hash=sha256:42421e04069fb2cbcbca5a696c4050b84a43b05392679d4068acbe65449b5c64 \
-    --hash=sha256:554fec1199d93ab30adaa751db68acec2b41c5602ac944bb19187cb9a41a8067 \
-    --hash=sha256:581a40c7b94921fffd6457ffe532259813fc68eb2bdda60fa8cc343414ce3733 \
-    --hash=sha256:5aaeb00761f985007b38cf463b1d160a14a22c34eb3f6a39d9ad6fc27cb73008 \
-    --hash=sha256:5ac46d0c2dd5820ce93943a501ac5f6548ea81594777ca585bf002aa8854cacd \
-    --hash=sha256:771eb7587a0563ca5bb6f622b9ed7f9d07bd08900f7589b4febff05f469bea00 \
-    --hash=sha256:7a3d62b3b03b4b6fd41a085f3574874cf946cb4604d2b4d3e8dca8cd570ca501 \
-    --hash=sha256:95aa6ae391a22bbbce1b77ddac846c98c5473de0372ba5c463480043a07bff42 \
-    --hash=sha256:a9abbccd778d98e9c7e85038e35e91e67f5b520776781d9a1e2ee9d400869487 \
-    --hash=sha256:ad80e6b4a0c3cb6f10f29ae4c60e991f424e6b14219d46f1e7d442b938ee68a4 \
-    --hash=sha256:b87eb6fc9e1bb8f98892a2458781348fa37e6925f35bb6ceb9d4afd54ba36c73 \
-    --hash=sha256:d1ba00ae33be84066cfbe7361d4e04dec78445b2b88bdb734d0d1cbab916025a \
-    --hash=sha256:d766a4f0e5aa1ba056ec3496243150698dc0481902e2b8559314368717be82b1 \
-    --hash=sha256:dbf364b4c5e7bae9250528167dfe40219b62e2d573c854d74be213e1e52069f7 \
-    --hash=sha256:dd19608788b50eed889e13a5d71d832edc34fc9dfce606f66e8f9f917eef910d \
-    --hash=sha256:e013b07ba1c748dacc2a80e69a46286ff145935f260eb8c72df7185bf048f502 \
-    --hash=sha256:f319bae0321bc838e205bf9e5bc28f0a3165f30c203b610f17ab5552cff90323 \
-    --hash=sha256:f3c38e4e5ccbdc9198aecc766cedbb134b2d89bf64533973678dfcf07effd883
-crispy-bootstrap5==2025.4 \
-    --hash=sha256:51efa19c7d40e339774a6fe23407e83b95b7634cad6de70fd1f1093131bea1d9 \
-    --hash=sha256:d675ea7e245048905077dfe16bf1fa1ee16842f52fe88164ccc8a5e2d11119b3
+coverage==7.11.0 \
+    --hash=sha256:05791e528a18f7072bf5998ba772fe29db4da1234c45c2087866b5ba4dea710e \
+    --hash=sha256:0efa742f431529699712b92ecdf22de8ff198df41e43aeaaadf69973eb93f17a \
+    --hash=sha256:10ad04ac3a122048688387828b4537bc9cf60c0bf4869c1e9989c46e45690b82 \
+    --hash=sha256:167bd504ac1ca2af7ff3b81d245dfea0292c5032ebef9d66cc08a7d28c1b8050 \
+    --hash=sha256:269bfe913b7d5be12ab13a95f3a76da23cf147be7fa043933320ba5625f0a8de \
+    --hash=sha256:2727d47fce3ee2bac648528e41455d1b0c46395a087a229deac75e9f88ba5a05 \
+    --hash=sha256:314c24e700d7027ae3ab0d95fbf8d53544fca1f20345fd30cd219b737c6e58d3 \
+    --hash=sha256:3d4ba9a449e9364a936a27322b20d32d8b166553bfe63059bd21527e681e2fad \
+    --hash=sha256:4036cc9c7983a2b1f2556d574d2eb2154ac6ed55114761685657e38782b23f52 \
+    --hash=sha256:424538266794db2861db4922b05d729ade0940ee69dcf0591ce8f69784db0e11 \
+    --hash=sha256:4b7589765348d78fb4e5fb6ea35d07564e387da2fc5efff62e0222971f155f68 \
+    --hash=sha256:4c1eeb3fb8eb9e0190bebafd0462936f75717687117339f708f395fe455acc73 \
+    --hash=sha256:587c38849b853b157706407e9ebdca8fd12f45869edb56defbef2daa5fb0812b \
+    --hash=sha256:59a6e5a265f7cfc05f76e3bb53eca2e0dfe90f05e07e849930fecd6abb8f40b4 \
+    --hash=sha256:5a03eaf7ec24078ad64a07f02e30060aaf22b91dedf31a6b24d0d98d2bba7f48 \
+    --hash=sha256:5ef83b107f50db3f9ae40f69e34b3bd9337456c5a7fe3461c7abf8b75dd666a2 \
+    --hash=sha256:630d0bd7a293ad2fc8b4b94e5758c8b2536fdf36c05f1681270203e463cbfa9b \
+    --hash=sha256:695340f698a5f56f795b2836abe6fb576e7c53d48cd155ad2f80fd24bc63a040 \
+    --hash=sha256:6fbcee1a8f056af07ecd344482f711f563a9eb1c2cad192e87df00338ec3cdb0 \
+    --hash=sha256:73feb83bb41c32811973b8565f3705caf01d928d972b72042b44e97c71fd70d1 \
+    --hash=sha256:7ab934dd13b1c5e94b692b1e01bd87e4488cb746e3a50f798cb9464fd128374b \
+    --hash=sha256:7db53b5cdd2917b6eaadd0b1251cf4e7d96f4a8d24e174bdbdf2f65b5ea7994d \
+    --hash=sha256:8badf70446042553a773547a61fecaa734b55dc738cacf20c56ab04b77425e43 \
+    --hash=sha256:8c934bd088eed6174210942761e38ee81d28c46de0132ebb1801dbe36a390dcc \
+    --hash=sha256:9516add7256b6713ec08359b7b05aeff8850c98d357784c7205b2e60aa2513fa \
+    --hash=sha256:9ed43fa22c6436f7957df036331f8fe4efa7af132054e1844918866cd228af6c \
+    --hash=sha256:a09c1211959903a479e389685b7feb8a17f59ec5a4ef9afde7650bd5eabc2777 \
+    --hash=sha256:a386c1061bf98e7ea4758e4313c0ab5ecf57af341ef0f43a0bf26c2477b5c268 \
+    --hash=sha256:a3d0e2087dba64c86a6b254f43e12d264b636a39e88c5cc0a01a7c71bcfdab7e \
+    --hash=sha256:b56efee146c98dbf2cf5cffc61b9829d1e94442df4d7398b26892a53992d3547 \
+    --hash=sha256:b5c2705afa83f49bd91962a4094b6b082f94aef7626365ab3f8f4bd159c5acf3 \
+    --hash=sha256:b971bdefdd75096163dd4261c74be813c4508477e39ff7b92191dea19f24cd37 \
+    --hash=sha256:bab7ec4bb501743edc63609320aaec8cd9188b396354f482f4de4d40a9d10721 \
+    --hash=sha256:c6f31f281012235ad08f9a560976cc2fc9c95c17604ff3ab20120fe480169bca \
+    --hash=sha256:c770885b28fb399aaf2a65bbd1c12bf6f307ffd112d6a76c5231a94276f0c497 \
+    --hash=sha256:c9f08ea03114a637dab06cedb2e914da9dc67fa52c6015c018ff43fdde25b9c2 \
+    --hash=sha256:cacb29f420cfeb9283b803263c3b9a068924474ff19ca126ba9103e1278dfa44 \
+    --hash=sha256:cc3f49e65ea6e0d5d9bd60368684fe52a704d46f9e7fc413918f18d046ec40e1 \
+    --hash=sha256:cdbcd376716d6b7fbfeedd687a6c4be019c5a5671b35f804ba76a4c0a778cba4 \
+    --hash=sha256:ce37f215223af94ef0f75ac68ea096f9f8e8c8ec7d6e8c346ee45c0d363f0479 \
+    --hash=sha256:ce9f3bde4e9b031eaf1eb61df95c1401427029ea1bfddb8621c1161dcb0fa02e \
+    --hash=sha256:cee6291bb4fed184f1c2b663606a115c743df98a537c969c3c64b49989da96c2 \
+    --hash=sha256:d06f4fc7acf3cabd6d74941d53329e06bab00a8fe10e4df2714f0b134bfc64ef \
+    --hash=sha256:dadbcce51a10c07b7c72b0ce4a25e4b6dcb0c0372846afb8e5b6307a121eb99f \
+    --hash=sha256:dbbf012be5f32533a490709ad597ad8a8ff80c582a95adc8d62af664e532f9ca \
+    --hash=sha256:df01d6c4c81e15a7c88337b795bb7595a8596e92310266b5072c7e301168efbd \
+    --hash=sha256:e4dc07e95495923d6fd4d6c27bf70769425b71c89053083843fd78f378558996 \
+    --hash=sha256:e89641f5175d65e2dbb44db15fe4ea48fade5d5bbb9868fdc2b4fce22f4a469d \
+    --hash=sha256:e9570ad567f880ef675673992222746a124b9595506826b210fbe0ce3f0499cd \
+    --hash=sha256:eb92e47c92fcbcdc692f428da67db33337fa213756f7adb6a011f7b5a7a20740 \
+    --hash=sha256:f39ae2f63f37472c17b4990f794035c9890418b1b8cca75c01193f3c8d3e01be \
+    --hash=sha256:f413ce6e07e0d0dc9c433228727b619871532674b45165abafe201f200cc215f \
+    --hash=sha256:f91f927a3215b8907e214af77200250bb6aae36eca3f760f89780d13e495388d \
+    --hash=sha256:f9ea02ef40bb83823b2b04964459d281688fe173e20643870bb5d2edf68bc836
+crispy-bootstrap5==2025.6 \
+    --hash=sha256:a343aa128b4383f35f00295b94de2b10862f2a4f24eda21fa6ead45234c07050 \
+    --hash=sha256:f1bde7cac074c650fc82f31777d4a4cfd0df2512c68bc4128f259c75d3daada4
     # via livegraphsdjango
-cron-descriptor==1.4.5 \
-    --hash=sha256:736b3ae9d1a99bc3dbfc5b55b5e6e7c12031e7ba5de716625772f8b02dcd6013 \
-    --hash=sha256:f51ce4ffc1d1f2816939add8524f206c376a42c87a5fca3091ce26725b3b1bca
+cron-descriptor==2.0.6 \
+    --hash=sha256:3a1c0d837c0e5a32e415f821b36cf758eb92d510e6beff8fbfe4fa16573d93d6 \
+    --hash=sha256:e39d2848e1d8913cfb6e3452e701b5eec662ee18bea8cc5aa53ee1a7bb217157
     # via django-celery-beat
-distlib==0.3.9 \
-    --hash=sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87 \
-    --hash=sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403
+distlib==0.4.0 \
+    --hash=sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16 \
+    --hash=sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d
     # via virtualenv
-django==5.2.1 \
-    --hash=sha256:57fe1f1b59462caed092c80b3dd324fd92161b620d59a9ba9181c34746c97284 \
-    --hash=sha256:a9b680e84f9a0e71da83e399f1e922e1ab37b2173ced046b541c72e1589a5961
+django==5.2.7 \
+    --hash=sha256:59a13a6515f787dec9d97a0438cd2efac78c8aca1c80025244b0fe507fe0754b \
+    --hash=sha256:e0f6f12e2551b1716a95a63a1366ca91bbcd7be059862c1b18f989b1da356cdd
     # via
     #   crispy-bootstrap5
     #   django-allauth
@@ -137,8 +187,9 @@ django==5.2.1 \
     #   django-stubs-ext
     #   django-timezone-field
     #   livegraphsdjango
-django-allauth==65.8.0 \
-    --hash=sha256:9da589d99d412740629333a01865a90c95c97e0fae0cde789aa45a8fda90e83b
+django-allauth==65.13.0 \
+    --hash=sha256:119c0cf1cc2e0d1a0fe2f13588f30951d64989256084de2d60f13ab9308f9fa0 \
+    --hash=sha256:7d7b7e7ad603eb3864c142f051e2cce7be2f9a9c6945a51172ec83d48c6c843b
     # via livegraphsdjango
 django-celery-beat==2.8.1 \
     --hash=sha256:da2b1c6939495c05a551717509d6e3b79444e114a027f7b77bf3727c2a39d171 \
@@ -150,117 +201,150 @@ django-crispy-forms==2.4 \
     # via
     #   crispy-bootstrap5
     #   livegraphsdjango
-django-debug-toolbar==5.2.0 \
-    --hash=sha256:15627f4c2836a9099d795e271e38e8cf5204ccd79d5dbcd748f8a6c284dcd195 \
-    --hash=sha256:9e7f0145e1a1b7d78fcc3b53798686170a5b472d9cf085d88121ff823e900821
-django-stubs==5.2.0 \
-    --hash=sha256:07e25c2d3cbff5be540227ff37719cc89f215dfaaaa5eb038a75b01bbfbb2722 \
-    --hash=sha256:cd52da033489afc1357d6245f49e3cc57bf49015877253fb8efc6722ea3d2d2b
-django-stubs-ext==5.2.0 \
-    --hash=sha256:00c4ae307b538f5643af761a914c3f8e4e3f25f4e7c6d7098f1906c0d8f2aac9 \
-    --hash=sha256:b27ae0aab970af4894ba4e9b3fcd3e03421dc8731516669659ee56122d148b23
+django-debug-toolbar==6.1.0 \
+    --hash=sha256:e214dea4494087e7cebdcea84223819c5eb97f9de3110a3665ad673f0ba98413 \
+    --hash=sha256:e962ec350c9be8bdba918138e975a9cdb193f60ec396af2bb71b769e8e165519
+django-stubs==5.2.7 \
+    --hash=sha256:2864e74b56ead866ff1365a051f24d852f6ed02238959664f558a6c9601c95bf \
+    --hash=sha256:2a07e47a8a867836a763c6bba8bf3775847b4fd9555bfa940360e32d0ee384a1
+django-stubs-ext==5.2.7 \
+    --hash=sha256:0466a7132587d49c5bbe12082ac9824d117a0dedcad5d0ada75a6e0d3aca6f60 \
+    --hash=sha256:b690655bd4cb8a44ae57abb314e0995dc90414280db8f26fff0cb9fb367d1cac
     # via django-stubs
 django-timezone-field==7.1 \
     --hash=sha256:93914713ed882f5bccda080eda388f7006349f25930b6122e9b07bf8db49c4b4 \
     --hash=sha256:b3ef409d88a2718b566fabe10ea996f2838bc72b22d3a2900c0aa905c761380c
     # via django-celery-beat
-filelock==3.18.0 \
-    --hash=sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2 \
-    --hash=sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de
+filelock==3.20.0 \
+    --hash=sha256:339b4732ffda5cd79b13f4e2711a31b0365ce445d95d243bb996273d072546a2 \
+    --hash=sha256:711e943b4ec6be42e1d4e6690b48dc175c822967466bb31c0c293f34334c13f4
     # via virtualenv
-greenlet==3.2.2 ; (python_full_version < '3.14' and platform_machine == 'AMD64') or (python_full_version < '3.14' and platform_machine == 'WIN32') or (python_full_version < '3.14' and platform_machine == 'aarch64') or (python_full_version < '3.14' and platform_machine == 'amd64') or (python_full_version < '3.14' and platform_machine == 'ppc64le') or (python_full_version < '3.14' and platform_machine == 'win32') or (python_full_version < '3.14' and platform_machine == 'x86_64') \
-    --hash=sha256:02a98600899ca1ca5d3a2590974c9e3ec259503b2d6ba6527605fcd74e08e207 \
-    --hash=sha256:055916fafad3e3388d27dd68517478933a97edc2fc54ae79d3bec827de2c64c4 \
-    --hash=sha256:1919cbdc1c53ef739c94cf2985056bcc0838c1f217b57647cbf4578576c63825 \
-    --hash=sha256:1e76106b6fc55fa3d6fe1c527f95ee65e324a13b62e243f77b48317346559708 \
-    --hash=sha256:2593283bf81ca37d27d110956b79e8723f9aa50c4bcdc29d3c0543d4743d2763 \
-    --hash=sha256:2dc5c43bb65ec3669452af0ab10729e8fdc17f87a1f2ad7ec65d4aaaefabf6bf \
-    --hash=sha256:3885f85b61798f4192d544aac7b25a04ece5fe2704670b4ab73c2d2c14ab740d \
-    --hash=sha256:3ab7194ee290302ca15449f601036007873028712e92ca15fc76597a0aeb4c59 \
-    --hash=sha256:45f9f4853fb4cc46783085261c9ec4706628f3b57de3e68bae03e8f8b3c0de51 \
-    --hash=sha256:6fadd183186db360b61cb34e81117a096bff91c072929cd1b529eb20dd46e6c5 \
-    --hash=sha256:85f3e248507125bf4af607a26fd6cb8578776197bd4b66e35229cdf5acf1dfbf \
-    --hash=sha256:89c69e9a10670eb7a66b8cef6354c24671ba241f46152dd3eed447f79c29fb5b \
-    --hash=sha256:9ea5231428af34226c05f927e16fc7f6fa5e39e3ad3cd24ffa48ba53a47f4240 \
-    --hash=sha256:ad053d34421a2debba45aa3cc39acf454acbcd025b3fc1a9f8a0dee237abd485 \
-    --hash=sha256:b50a8c5c162469c3209e5ec92ee4f95c8231b11db6a04db09bbe338176723bb8 \
-    --hash=sha256:ba30e88607fb6990544d84caf3c706c4b48f629e18853fc6a646f82db9629418 \
-    --hash=sha256:decb0658ec19e5c1f519faa9a160c0fc85a41a7e6654b3ce1b44b939f8bf1325 \
-    --hash=sha256:fe46d4f8e94e637634d54477b0cfabcf93c53f29eedcbdeecaf2af32029b4421
+greenlet==3.2.4 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64' \
+    --hash=sha256:00fadb3fedccc447f517ee0d3fd8fe49eae949e1cd0f6a611818f4f6fb7dc83b \
+    --hash=sha256:015d48959d4add5d6c9f6c5210ee3803a830dce46356e3bc326d6776bde54681 \
+    --hash=sha256:061dc4cf2c34852b052a8620d40f36324554bc192be474b9e9770e8c042fd735 \
+    --hash=sha256:0dca0d95ff849f9a364385f36ab49f50065d76964944638be9691e1832e9f86d \
+    --hash=sha256:1a921e542453fe531144e91e1feedf12e07351b1cf6c9e8a3325ea600a715a31 \
+    --hash=sha256:23768528f2911bcd7e475210822ffb5254ed10d71f4028387e5a99b4c6699671 \
+    --hash=sha256:2917bdf657f5859fbf3386b12d68ede4cf1f04c90c3a6bc1f013dd68a22e2269 \
+    --hash=sha256:299fd615cd8fc86267b47597123e3f43ad79c9d8a22bebdce535e53550763e2f \
+    --hash=sha256:44358b9bf66c8576a9f57a590d5f5d6e72fa4228b763d0e43fee6d3b06d3a337 \
+    --hash=sha256:49a30d5fda2507ae77be16479bdb62a660fa51b1eb4928b524975b3bde77b3c0 \
+    --hash=sha256:554b03b6e73aaabec3745364d6239e9e012d64c68ccd0b8430c64ccc14939a8b \
+    --hash=sha256:6e343822feb58ac4d0a1211bd9399de2b3a04963ddeec21530fc426cc121f19b \
+    --hash=sha256:710638eb93b1fa52823aa91bf75326f9ecdfd5e0466f00789246a5280f4ba0fc \
+    --hash=sha256:b4a1870c51720687af7fa3e7cda6d08d801dae660f75a76f3845b642b4da6ee1 \
+    --hash=sha256:c17b6b34111ea72fc5a4e4beec9711d2226285f0386ea83477cbb97c30a3f3a5 \
+    --hash=sha256:c5111ccdc9c88f423426df3fd1811bfc40ed66264d35aa373420a34377efc98a \
+    --hash=sha256:ca7f6f1f2649b89ce02f6f229d7c19f680a6238af656f61e0115b24857917929 \
+    --hash=sha256:cd3c8e693bff0fff6ba55f140bf390fa92c994083f838fece0f63be121334945 \
+    --hash=sha256:d25c5091190f2dc0eaa3f950252122edbbadbb682aa7b1ef2f8af0f8c0afefae \
+    --hash=sha256:d76383238584e9711e20ebe14db6c88ddcedc1829a9ad31a584389463b5aa504 \
+    --hash=sha256:e37ab26028f12dbb0ff65f29a8d3d44a765c61e729647bf2ddfbbed621726f01
     # via sqlalchemy
 gunicorn==23.0.0 \
     --hash=sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d \
     --hash=sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec
     # via livegraphsdjango
-identify==2.6.10 \
-    --hash=sha256:45e92fd704f3da71cc3880036633f48b4b7265fd4de2b57627cb157216eb7eb8 \
-    --hash=sha256:5f34248f54136beed1a7ba6a6b5c4b6cf21ff495aac7c359e1ef831ae3b8ab25
+identify==2.6.15 \
+    --hash=sha256:1181ef7608e00704db228516541eb83a88a9f94433a8c80bb9b5bd54b1d81757 \
+    --hash=sha256:e4f4864b96c6557ef2a1e1c951771838f4edc9df3a72ec7118b338801b11c7bf
     # via pre-commit
-idna==3.10 \
-    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
-    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
+idna==3.11 \
+    --hash=sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea \
+    --hash=sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902
     # via requests
-iniconfig==2.1.0 \
-    --hash=sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7 \
-    --hash=sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760
+iniconfig==2.3.0 \
+    --hash=sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730 \
+    --hash=sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12
     # via pytest
-kombu==5.5.3 \
-    --hash=sha256:021a0e11fcfcd9b0260ef1fb64088c0e92beb976eb59c1dfca7ddd4ad4562ea2 \
-    --hash=sha256:5b0dbceb4edee50aa464f59469d34b97864be09111338cfb224a10b6a163909b
+kombu==5.5.4 \
+    --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \
+    --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8
     # via celery
-markdown-it-py==3.0.0 \
-    --hash=sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1 \
-    --hash=sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb
+markdown-it-py==4.0.0 \
+    --hash=sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147 \
+    --hash=sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3
     # via rich
 mdurl==0.1.2 \
     --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \
     --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba
     # via markdown-it-py
-mypy==1.15.0 \
-    --hash=sha256:404534629d51d3efea5c800ee7c42b72a6554d6c400e6a79eafe15d11341fd43 \
-    --hash=sha256:5469affef548bd1895d86d3bf10ce2b44e33d86923c29e4d675b3e323437ea3e \
-    --hash=sha256:811aeccadfb730024c5d3e326b2fbe9249bb7413553f15499a4050f7c30e801d \
-    --hash=sha256:93faf3fdb04768d44bf28693293f3904bbb555d076b781ad2530214ee53e3445 \
-    --hash=sha256:98b7b9b9aedb65fe628c62a6dc57f6d5088ef2dfca37903a7d9ee374d03acca5 \
-    --hash=sha256:b9378e2c00146c44793c98b8d5a61039a048e31f429fb0eb546d93f4b000bedf \
-    --hash=sha256:baefc32840a9f00babd83251560e0ae1573e2f9d1b067719479bfb0e987c6357 \
-    --hash=sha256:c43a7682e24b4f576d93072216bf56eeff70d9140241f9edec0c104d0c515036
+mypy==1.18.2 \
+    --hash=sha256:06a398102a5f203d7477b2923dda3634c36727fa5c237d8f859ef90c42a9924b \
+    --hash=sha256:07b8b0f580ca6d289e69209ec9d3911b4a26e5abfde32228a288eb79df129fcc \
+    --hash=sha256:0e2785a84b34a72ba55fb5daf079a1003a34c05b22238da94fcae2bbe46f3544 \
+    --hash=sha256:20c02215a080e3a2be3aa50506c67242df1c151eaba0dcbc1e4e557922a26075 \
+    --hash=sha256:22a1748707dd62b58d2ae53562ffc4d7f8bcc727e8ac7cbc69c053ddc874d47e \
+    --hash=sha256:62f0e1e988ad41c2a110edde6c398383a889d95b36b3e60bcf155f5164c4fdce \
+    --hash=sha256:6ca1e64b24a700ab5ce10133f7ccd956a04715463d30498e64ea8715236f9c9c \
+    --hash=sha256:749b5f83198f1ca64345603118a6f01a4e99ad4bf9d103ddc5a3200cc4614adf \
+    --hash=sha256:7ab28cc197f1dd77a67e1c6f35cd1f8e8b73ed2217e4fc005f9e6a504e46e7ba \
+    --hash=sha256:8795a039bab805ff0c1dfdb8cd3344642c2b99b8e439d057aba30850b8d3423d \
+    --hash=sha256:a431a6f1ef14cf8c144c6b14793a23ec4eae3db28277c358136e79d7d062f62d \
+    --hash=sha256:c3ad2afadd1e9fea5cf99a45a822346971ede8685cc581ed9cd4d42eaf940986 \
+    --hash=sha256:d924eef3795cc89fecf6bedc6ed32b33ac13e8321344f6ddbf8ee89f706c05cb \
+    --hash=sha256:ed4482847168439651d3feee5833ccedbf6657e964572706a2adb1f7fa4dfe2e
 mypy-extensions==1.1.0 \
     --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \
     --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558
     # via
     #   black
     #   mypy
-narwhals==1.39.1 \
-    --hash=sha256:68d0f29c760f1a9419ada537f35f21ff202b0be1419e6d22135a0352c6d96deb \
-    --hash=sha256:cf15389e6f8c5321e8cd0ca8b5bace3b1aea5f5622fa59dfd64821998741d836
+narwhals==2.10.2 \
+    --hash=sha256:059cd5c6751161b97baedcaf17a514c972af6a70f36a89af17de1a0caf519c43 \
+    --hash=sha256:ff738a08bc993cbb792266bec15346c1d85cc68fdfe82a23283c3713f78bd354
     # via plotly
 nodeenv==1.9.1 \
     --hash=sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f \
     --hash=sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9
     # via pre-commit
-numpy==2.2.5 \
-    --hash=sha256:02f226baeefa68f7d579e213d0f3493496397d8f1cff5e2b222af274c86a552a \
-    --hash=sha256:059b51b658f4414fff78c6d7b1b4e18283ab5fa56d270ff212d5ba0c561846f4 \
-    --hash=sha256:1a161c2c79ab30fe4501d5a2bbfe8b162490757cf90b7f05be8b80bc02f7bb8e \
-    --hash=sha256:261a1ef047751bb02f29dfe337230b5882b54521ca121fc7f62668133cb119c9 \
-    --hash=sha256:2ba321813a00e508d5421104464510cc962a6f791aa2fca1c97b1e65027da80d \
-    --hash=sha256:352d330048c055ea6db701130abc48a21bec690a8d38f8284e00fab256dc1376 \
-    --hash=sha256:3d14b17b9be5f9c9301f43d2e2a4886a33b53f4e6fdf9ca2f4cc60aeeee76372 \
-    --hash=sha256:4520caa3807c1ceb005d125a75e715567806fed67e315cea619d5ec6e75a4191 \
-    --hash=sha256:47f9ed103af0bc63182609044b0490747e03bd20a67e391192dde119bf43d52f \
-    --hash=sha256:54088a5a147ab71a8e7fdfd8c3601972751ded0739c6b696ad9cb0343e21ab73 \
-    --hash=sha256:55f09e00d4dccd76b179c0f18a44f041e5332fd0e022886ba1c0bbf3ea4a18d0 \
-    --hash=sha256:8b4c0773b6ada798f51f0f8e30c054d32304ccc6e9c5d93d46cb26f3d385ab19 \
-    --hash=sha256:8dfa94b6a4374e7851bbb6f35e6ded2120b752b063e6acdd3157e4d2bb922eba \
-    --hash=sha256:97c8425d4e26437e65e1d189d22dff4a079b747ff9c2788057bfb8114ce1e133 \
-    --hash=sha256:a4cbdef3ddf777423060c6f81b5694bad2dc9675f110c4b2a60dc0181543fac7 \
-    --hash=sha256:a9c0d994680cd991b1cb772e8b297340085466a6fe964bc9d4e80f5e2f43c291 \
-    --hash=sha256:c26843fd58f65da9491165072da2cccc372530681de481ef670dcc8e27cfb066 \
-    --hash=sha256:c8b82a55ef86a2d8e81b63da85e55f5537d2157165be1cb2ce7cfa57b6aef38b \
-    --hash=sha256:d403c84991b5ad291d3809bace5e85f4bbf44a04bdc9a88ed2bb1807b3360bb8 \
-    --hash=sha256:d8882a829fd779f0f43998e931c466802a77ca1ee0fe25a3abe50278616b1471 \
-    --hash=sha256:e8b025c351b9f0e8b5436cf28a07fa4ac0204d67b38f01433ac7f9b870fa38c6
+numpy==2.3.4 \
+    --hash=sha256:035796aaaddfe2f9664b9a9372f089cfc88bd795a67bd1bfe15e6e770934cf64 \
+    --hash=sha256:043885b4f7e6e232d7df4f51ffdef8c36320ee9d5f227b380ea636722c7ed12e \
+    --hash=sha256:04a69abe45b49c5955923cf2c407843d1c85013b424ae8a560bba16c92fe44a0 \
+    --hash=sha256:0f2bcc76f1e05e5ab58893407c63d90b2029908fa41f9f1cc51eecce936c3365 \
+    --hash=sha256:15eea9f306b98e0be91eb344a94c0e630689ef302e10c2ce5f7e11905c704f9c \
+    --hash=sha256:15fb27364ed84114438fff8aaf998c9e19adbeba08c0b75409f8c452a8692c52 \
+    --hash=sha256:22758999b256b595cf0b1d102b133bb61866ba5ceecf15f759623b64c020c9ec \
+    --hash=sha256:2ec646892819370cf3558f518797f16597b4e4669894a2ba712caccc9da53f1f \
+    --hash=sha256:3634093d0b428e6c32c3a69b78e554f0cd20ee420dcad5a9f3b2a63762ce4197 \
+    --hash=sha256:3da3491cee49cf16157e70f607c03a217ea6647b1cea4819c4f48e53d49139b9 \
+    --hash=sha256:40cc556d5abbc54aabe2b1ae287042d7bdb80c08edede19f0c0afb36ae586f37 \
+    --hash=sha256:4ee6a571d1e4f0ea6d5f22d6e5fbd6ed1dc2b18542848e1e7301bd190500c9d7 \
+    --hash=sha256:56209416e81a7893036eea03abcb91c130643eb14233b2515c90dcac963fe99d \
+    --hash=sha256:5e199c087e2aa71c8f9ce1cb7a8e10677dc12457e7cc1be4798632da37c3e86e \
+    --hash=sha256:62b2198c438058a20b6704351b35a1d7db881812d8512d67a69c9de1f18ca05f \
+    --hash=sha256:6d9cd732068e8288dbe2717177320723ccec4fb064123f0caf9bbd90ab5be868 \
+    --hash=sha256:7c26b0b2bf58009ed1f38a641f3db4be8d960a417ca96d14e5b06df1506d41ff \
+    --hash=sha256:817e719a868f0dacde4abdfc5c1910b301877970195db9ab6a5e2c4bd5b121f7 \
+    --hash=sha256:81c3e6d8c97295a7360d367f9f8553973651b76907988bb6066376bc2252f24e \
+    --hash=sha256:838f045478638b26c375ee96ea89464d38428c69170360b23a1a50fa4baa3562 \
+    --hash=sha256:84f01a4d18b2cc4ade1814a08e5f3c907b079c847051d720fad15ce37aa930b6 \
+    --hash=sha256:85597b2d25ddf655495e2363fe044b0ae999b75bc4d630dc0d886484b03a5eb0 \
+    --hash=sha256:85d9fb2d8cd998c84d13a79a09cc0c1091648e848e4e6249b0ccd7f6b487fa26 \
+    --hash=sha256:85e071da78d92a214212cacea81c6da557cab307f2c34b5f85b628e94803f9c0 \
+    --hash=sha256:863e3b5f4d9915aaf1b8ec79ae560ad21f0b8d5e3adc31e73126491bb86dee1d \
+    --hash=sha256:86966db35c4040fdca64f0816a1c1dd8dbd027d90fca5a57e00e1ca4cd41b879 \
+    --hash=sha256:8b5a9a39c45d852b62693d9b3f3e0fe052541f804296ff401a72a1b60edafb29 \
+    --hash=sha256:8dc20bde86802df2ed8397a08d793da0ad7a5fd4ea3ac85d757bf5dd4ad7c252 \
+    --hash=sha256:962064de37b9aef801d33bc579690f8bfe6c5e70e29b61783f60bcba838a14d6 \
+    --hash=sha256:9cb177bc55b010b19798dc5497d540dea67fd13a8d9e882b2dae71de0cf09eb3 \
+    --hash=sha256:9d729d60f8d53a7361707f4b68a9663c968882dd4f09e0d58c044c8bf5faee7b \
+    --hash=sha256:a13fc473b6db0be619e45f11f9e81260f7302f8d180c49a22b6e6120022596b3 \
+    --hash=sha256:a700a4031bc0fd6936e78a752eefb79092cecad2599ea9c8039c548bc097f9bc \
+    --hash=sha256:a7d018bfedb375a8d979ac758b120ba846a7fe764911a64465fd87b8729f4a6a \
+    --hash=sha256:b6c231c9c2fadbae4011ca5e7e83e12dc4a5072f1a1d85a0a7b3ed754d145a40 \
+    --hash=sha256:bd0c630cf256b0a7fd9d0a11c9413b42fef5101219ce6ed5a09624f5a65392c7 \
+    --hash=sha256:c090d4860032b857d94144d1a9976b8e36709e40386db289aaf6672de2a81966 \
+    --hash=sha256:d5e081bc082825f8b139f9e9fe42942cb4054524598aaeb177ff476cc76d09d2 \
+    --hash=sha256:d7315ed1dab0286adca467377c8381cd748f3dc92235f22a7dfc42745644a96a \
+    --hash=sha256:e1708fac43ef8b419c975926ce1eaf793b0c13b7356cfab6ab0dc34c0a02ac0f \
+    --hash=sha256:e73d63fd04e3a9d6bc187f5455d81abfad05660b212c8804bf3b407e984cd2bc \
+    --hash=sha256:e8370eb6925bb8c1c4264fec52b0384b44f675f191df91cbe0140ec9f0955646 \
+    --hash=sha256:ecb63014bb7f4ce653f8be7f1df8cbc6093a5a2811211770f6606cc92b5a78fd \
+    --hash=sha256:fc8a63918b04b8571789688b2780ab2b4a33ab44bfe8ccea36d3eba51228c953 \
+    --hash=sha256:fea80f4f4cf83b54c3a051f2f727870ee51e22f0248d3114b8e755d160b38cfb
     # via
     #   livegraphsdjango
     #   pandas
@@ -270,67 +354,106 @@ packaging==25.0 \
     # via
     #   black
     #   gunicorn
+    #   kombu
     #   plotly
     #   pytest
-pandas==2.2.3 \
-    --hash=sha256:15c0e1e02e93116177d29ff83e8b1619c93ddc9c49083f237d4312337a61165d \
-    --hash=sha256:1db71525a1538b30142094edb9adc10be3f3e176748cd7acc2240c2f2e5aa3a4 \
-    --hash=sha256:22a9d949bfc9a502d320aa04e5d02feab689d61da4e7764b62c30b991c42c5f0 \
-    --hash=sha256:3508d914817e153ad359d7e069d752cdd736a247c322d932eb89e6bc84217f28 \
-    --hash=sha256:38cf8125c40dae9d5acc10fa66af8ea6fdf760b2714ee482ca691fc66e6fcb18 \
-    --hash=sha256:3b71f27954685ee685317063bf13c7709a7ba74fc996b84fc6821c59b0f06468 \
-    --hash=sha256:4f18ba62b61d7e192368b84517265a99b4d7ee8912f8708660fb4a366cc82667 \
-    --hash=sha256:61c5ad4043f791b61dd4752191d9f07f0ae412515d59ba8f005832a532f8736d \
-    --hash=sha256:6374c452ff3ec675a8f46fd9ab25c4ad0ba590b71cf0656f8b6daa5202bca3fb \
-    --hash=sha256:800250ecdadb6d9c78eae4990da62743b857b470883fa27f652db8bdde7f6659 \
-    --hash=sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a \
-    --hash=sha256:ba96630bc17c875161df3818780af30e43be9b166ce51c9a18c1feae342906c2 \
-    --hash=sha256:f00d1345d84d8c86a63e476bb4955e46458b304b9575dcf71102b5c705320015 \
-    --hash=sha256:f3a255b2c19987fbbe62a9dfd6cff7ff2aa9ccab3fc75218fd4b7530f01efa24
+pandas==2.3.3 \
+    --hash=sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7 \
+    --hash=sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593 \
+    --hash=sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5 \
+    --hash=sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec \
+    --hash=sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5 \
+    --hash=sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac \
+    --hash=sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87 \
+    --hash=sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c \
+    --hash=sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713 \
+    --hash=sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3 \
+    --hash=sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78 \
+    --hash=sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c \
+    --hash=sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21 \
+    --hash=sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5 \
+    --hash=sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110 \
+    --hash=sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493 \
+    --hash=sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450 \
+    --hash=sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86 \
+    --hash=sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8 \
+    --hash=sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6 \
+    --hash=sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc \
+    --hash=sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788 \
+    --hash=sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b \
+    --hash=sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d \
+    --hash=sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0 \
+    --hash=sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b \
+    --hash=sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee
     # via livegraphsdjango
 pathspec==0.12.1 \
     --hash=sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08 \
     --hash=sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712
-    # via black
-pbr==6.1.1 \
-    --hash=sha256:38d4daea5d9fa63b3f626131b9d34947fd0c8be9b05a29276870580050a25a76 \
-    --hash=sha256:93ea72ce6989eb2eed99d0f75721474f69ad88128afdef5ac377eb797c4bf76b
-    # via stevedore
-platformdirs==4.3.8 \
-    --hash=sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc \
-    --hash=sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4
+    # via
+    #   black
+    #   mypy
+platformdirs==4.5.0 \
+    --hash=sha256:70ddccdd7c99fc5942e9fc25636a8b34d04c24b335100223152c2803e4063312 \
+    --hash=sha256:e578a81bb873cbb89a41fcc904c7ef523cc18284b7e3b3ccf06aca1403b7ebd3
     # via
     #   black
     #   virtualenv
-plotly==6.1.0 \
-    --hash=sha256:a29d3ed523c9d7960095693af1ee52689830df0f9c6bae3e5e92c20c4f5684c3 \
-    --hash=sha256:f13f497ccc2d97f06f771a30b27fab0cbd220f2975865f4ecbc75057135521de
+plotly==6.4.0 \
+    --hash=sha256:68c6db2ed2180289ef978f087841148b7efda687552276da15a6e9b92107052a \
+    --hash=sha256:a1062eafbdc657976c2eedd276c90e184ccd6c21282a5e9ee8f20efca9c9a4c5
     # via livegraphsdjango
 pluggy==1.6.0 \
     --hash=sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3 \
     --hash=sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746
     # via pytest
-pre-commit==4.2.0 \
-    --hash=sha256:601283b9757afd87d40c4c4a9b2b5de9637a8ea02eaff7adc2d0fb4e04841146 \
-    --hash=sha256:a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd
-prompt-toolkit==3.0.51 \
-    --hash=sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07 \
-    --hash=sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed
+pre-commit==4.3.0 \
+    --hash=sha256:2b0747ad7e6e967169136edffee14c16e148a778a54e4f967921aa1ebf2308d8 \
+    --hash=sha256:499fe450cc9d42e9d58e606262795ecb64dd05438943c62b66f6a8673da30b16
+prompt-toolkit==3.0.52 \
+    --hash=sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855 \
+    --hash=sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955
     # via click-repl
-pygments==2.19.1 \
-    --hash=sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f \
-    --hash=sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c
-    # via rich
-pytest==8.3.5 \
-    --hash=sha256:c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820 \
-    --hash=sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845
+psycopg2-binary==2.9.11 \
+    --hash=sha256:04195548662fa544626c8ea0f06561eb6203f1984ba5b4562764fbeb4c3d14b1 \
+    --hash=sha256:32770a4d666fbdafab017086655bcddab791d7cb260a16679cc5a7338b64343b \
+    --hash=sha256:366df99e710a2acd90efed3764bb1e28df6c675d33a7fb40df9b7281694432ee \
+    --hash=sha256:4012c9c954dfaccd28f94e84ab9f94e12df76b4afb22331b1f0d3154893a6316 \
+    --hash=sha256:47f212c1d3be608a12937cc131bd85502954398aaa1320cb4c14421a0ffccf4c \
+    --hash=sha256:5c6ff3335ce08c75afaed19e08699e8aacf95d4a260b495a4a8545244fe2ceb3 \
+    --hash=sha256:84011ba3109e06ac412f95399b704d3d6950e386b7994475b231cf61eec2fc1f \
+    --hash=sha256:8c55b385daa2f92cb64b12ec4536c66954ac53654c7f15a203578da4e78105c0 \
+    --hash=sha256:92e3b669236327083a2e33ccfa0d320dd01b9803b3e14dd986a4fc54aa00f4e1 \
+    --hash=sha256:9b52a3f9bb540a3e4ec0f6ba6d31339727b2950c9772850d6545b7eae0b9d7c5 \
+    --hash=sha256:9bd81e64e8de111237737b29d68039b9c813bdf520156af36d26819c9a979e5f \
+    --hash=sha256:b31e90fdd0f968c2de3b26ab014314fe814225b6c324f770952f7d38abf17e3c \
+    --hash=sha256:b6aed9e096bf63f9e75edf2581aa9a7e7186d97ab5c177aa6c87797cd591236c \
+    --hash=sha256:b8fb3db325435d34235b044b199e56cdf9ff41223a4b9752e8576465170bb38c \
+    --hash=sha256:ba34475ceb08cccbdd98f6b46916917ae6eeb92b5ae111df10b544c3a4621dc4 \
+    --hash=sha256:c0377174bf1dd416993d16edc15357f6eb17ac998244cca19bc67cdc0e2e5766 \
+    --hash=sha256:c3cb3a676873d7506825221045bd70e0427c905b9c8ee8d6acd70cfcbd6e576d \
+    --hash=sha256:d526864e0f67f74937a8fce859bd56c979f5e2ec57ca7c627f5f1071ef7fee60 \
+    --hash=sha256:db4fd476874ccfdbb630a54426964959e58da4c61c9feba73e6094d51303d7d8 \
+    --hash=sha256:e0deeb03da539fa3577fcb0b3f2554a97f7e5477c246098dbb18091a4a01c16f \
+    --hash=sha256:e35b7abae2b0adab776add56111df1735ccc71406e56203515e228a8dc07089f \
+    --hash=sha256:efff12b432179443f54e230fdf60de1f6cc726b6c832db8701227d089310e8aa \
+    --hash=sha256:fcf21be3ce5f5659daefd2b3b3b6e4727b028221ddc94e6c1523425579664747
+    # via livegraphsdjango
+pygments==2.19.2 \
+    --hash=sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887 \
+    --hash=sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b
+    # via
+    #   pytest
+    #   rich
+pytest==8.4.2 \
+    --hash=sha256:86c0d0b93306b961d58d62a4db4879f27fe25513d4b969df351abdddb3c30e01 \
+    --hash=sha256:872f880de3fc3a5bdc88a11b39c9710c3497a547cfa9320bc3c5e62fbf272e79
     # via pytest-django
 pytest-django==4.11.1 \
     --hash=sha256:1b63773f648aa3d8541000c26929c1ea63934be1cfa674c76436966d73fe6a10 \
     --hash=sha256:a949141a1ee103cb0e7a20f1451d355f83f5e4a5d07bdd4dcfdd1fd0ff227991
-python-crontab==3.2.0 \
-    --hash=sha256:40067d1dd39ade3460b2ad8557c7651514cd3851deffff61c5c60e1227c5c36b \
-    --hash=sha256:82cb9b6a312d41ff66fd3caf3eed7115c28c195bfb50711bc2b4b9592feb9fe5
+python-crontab==3.3.0 \
+    --hash=sha256:007c8aee68dddf3e04ec4dce0fac124b93bd68be7470fc95d2a9617a15de291b \
+    --hash=sha256:739a778b1a771379b75654e53fd4df58e5c63a9279a63b5dfe44c0fcc3ee7884
     # via django-celery-beat
 python-dateutil==2.9.0.post0 \
     --hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
@@ -338,81 +461,100 @@ python-dateutil==2.9.0.post0 \
     # via
     #   celery
     #   pandas
-    #   python-crontab
-python-dotenv==1.1.0 \
-    --hash=sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5 \
-    --hash=sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d
+python-dotenv==1.2.1 \
+    --hash=sha256:42667e897e16ab0d66954af0e60a9caa94f0fd4ecf3aaf6d2d260eec1aa36ad6 \
+    --hash=sha256:b81ee9561e9ca4004139c6cbba3a238c32b03e4894671e181b671e8cb8425d61
     # via livegraphsdjango
+pytokens==0.3.0 \
+    --hash=sha256:2f932b14ed08de5fcf0b391ace2642f858f1394c0857202959000b68ed7a458a \
+    --hash=sha256:95b2b5eaf832e469d141a378872480ede3f251a5a5041b8ec6e581d3ac71bbf3
+    # via black
 pytz==2025.2 \
     --hash=sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3 \
     --hash=sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00
     # via pandas
-pyyaml==6.0.2 \
-    --hash=sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133 \
-    --hash=sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484 \
-    --hash=sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc \
-    --hash=sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1 \
-    --hash=sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652 \
-    --hash=sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5 \
-    --hash=sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563 \
-    --hash=sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183 \
-    --hash=sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e \
-    --hash=sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba
+pyyaml==6.0.3 \
+    --hash=sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c \
+    --hash=sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3 \
+    --hash=sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6 \
+    --hash=sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65 \
+    --hash=sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1 \
+    --hash=sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310 \
+    --hash=sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac \
+    --hash=sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9 \
+    --hash=sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7 \
+    --hash=sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35 \
+    --hash=sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb \
+    --hash=sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065 \
+    --hash=sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c \
+    --hash=sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c \
+    --hash=sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764 \
+    --hash=sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac \
+    --hash=sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8 \
+    --hash=sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3 \
+    --hash=sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5 \
+    --hash=sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702 \
+    --hash=sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788 \
+    --hash=sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba \
+    --hash=sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5 \
+    --hash=sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26 \
+    --hash=sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f \
+    --hash=sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b \
+    --hash=sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be \
+    --hash=sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c \
+    --hash=sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6
     # via
     #   bandit
     #   pre-commit
-redis==6.1.0 \
-    --hash=sha256:3b72622f3d3a89df2a6041e82acd896b0e67d9f54e9bcd906d091d23ba5219f6 \
-    --hash=sha256:c928e267ad69d3069af28a9823a07726edf72c7e37764f43dc0123f37928c075
+redis==7.0.1 \
+    --hash=sha256:4977af3c7d67f8f0eb8b6fec0dafc9605db9343142f634041fb0235f67c0588a \
+    --hash=sha256:c949df947dca995dc68fdf5a7863950bf6df24f8d6022394585acc98e81624f1
     # via livegraphsdjango
-requests==2.32.3 \
-    --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \
-    --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6
+requests==2.32.5 \
+    --hash=sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6 \
+    --hash=sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf
     # via livegraphsdjango
-rich==14.0.0 \
-    --hash=sha256:1c9491e1951aac09caffd42f448ee3d04e58923ffe14993f6e83068dc395d7e0 \
-    --hash=sha256:82f1bc23a6a21ebca4ae0c45af9bdbc492ed20231dcb63f297d6d1021a9d5725
+rich==14.2.0 \
+    --hash=sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4 \
+    --hash=sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd
     # via bandit
-ruff==0.11.10 \
-    --hash=sha256:1067245bad978e7aa7b22f67113ecc6eb241dca0d9b696144256c3a879663bca \
-    --hash=sha256:2f071b0deed7e9245d5820dac235cbdd4ef99d7b12ff04c330a241ad3534319f \
-    --hash=sha256:3afead355f1d16d95630df28d4ba17fb2cb9c8dfac8d21ced14984121f639bad \
-    --hash=sha256:4a60e3a0a617eafba1f2e4186d827759d65348fa53708ca547e384db28406a0b \
-    --hash=sha256:5a94acf798a82db188f6f36575d80609072b032105d114b0f98661e1679c9125 \
-    --hash=sha256:5b6a9cc5b62c03cc1fea0044ed8576379dbaf751d5503d718c973d5418483641 \
-    --hash=sha256:5cc725fbb4d25b0f185cb42df07ab6b76c4489b4bfb740a175f3a59c70e8a224 \
-    --hash=sha256:607ecbb6f03e44c9e0a93aedacb17b4eb4f3563d00e8b474298a201622677947 \
-    --hash=sha256:7b3a522fa389402cd2137df9ddefe848f727250535c70dafa840badffb56b7a4 \
-    --hash=sha256:859a7bfa7bc8888abbea31ef8a2b411714e6a80f0d173c2a82f9041ed6b50f58 \
-    --hash=sha256:8b4564e9f99168c0f9195a0fd5fa5928004b33b377137f978055e40008a082c5 \
-    --hash=sha256:968220a57e09ea5e4fd48ed1c646419961a0570727c7e069842edd018ee8afed \
-    --hash=sha256:d522fb204b4959909ecac47da02830daec102eeb100fb50ea9554818d47a5fa6 \
-    --hash=sha256:da8ec977eaa4b7bf75470fb575bea2cb41a0e07c7ea9d5a0a97d13dbca697bf2 \
-    --hash=sha256:dc061a98d32a97211af7e7f3fa1d4ca2fcf919fb96c28f39551f35fc55bdbc19 \
-    --hash=sha256:ddf8967e08227d1bd95cc0851ef80d2ad9c7c0c5aab1eba31db49cf0a7b99523 \
-    --hash=sha256:ef69637b35fb8b210743926778d0e45e1bffa850a7c61e428c6b971549b5f5d1 \
-    --hash=sha256:f4854fd09c7aed5b1590e996a81aeff0c9ff51378b084eb5a0b9cd9518e6cff2
-setuptools==80.7.1 \
-    --hash=sha256:ca5cc1069b85dc23070a6628e6bcecb3292acac802399c7f8edc0100619f9009 \
-    --hash=sha256:f6ffc5f0142b1bd8d0ca94ee91b30c0ca862ffd50826da1ea85258a06fd94552
-    # via pbr
+ruff==0.14.3 \
+    --hash=sha256:0e2f8a0bbcffcfd895df39c9a4ecd59bb80dca03dc43f7fb63e647ed176b741e \
+    --hash=sha256:1ec1ac071e7e37e0221d2f2dbaf90897a988c531a8592a6a5959f0603a1ecf5e \
+    --hash=sha256:26eb477ede6d399d898791d01961e16b86f02bc2486d0d1a7a9bb2379d055dc1 \
+    --hash=sha256:3d6bc90307c469cb9d28b7cfad90aaa600b10d67c6e22026869f585e1e8a2db0 \
+    --hash=sha256:469e35872a09c0e45fecf48dd960bfbce056b5db2d5e6b50eca329b4f853ae20 \
+    --hash=sha256:4ff876d2ab2b161b6de0aa1f5bd714e8e9b4033dc122ee006925fbacc4f62153 \
+    --hash=sha256:678fdd7c7d2d94851597c23ee6336d25f9930b460b55f8598e011b57c74fd8c5 \
+    --hash=sha256:71ff6edca490c308f083156938c0c1a66907151263c4abdcb588602c6e696a14 \
+    --hash=sha256:786ee3ce6139772ff9272aaf43296d975c0217ee1b97538a98171bf0d21f87ed \
+    --hash=sha256:7bfc42f81862749a7136267a343990f865e71fe2f99cf8d2958f684d23ce3dfa \
+    --hash=sha256:876b21e6c824f519446715c1342b8e60f97f93264012de9d8d10314f8a79c371 \
+    --hash=sha256:a497ec0c3d2c88561b6d90f9c29f5ae68221ac00d471f306fa21fa4264ce5fcd \
+    --hash=sha256:a65e448cfd7e9c59fae8cf37f9221585d3354febaad9a07f29158af1528e165f \
+    --hash=sha256:afcdc4b5335ef440d19e7df9e8ae2ad9f749352190e96d481dc501b753f0733e \
+    --hash=sha256:b6fd8c79b457bedd2abf2702b9b472147cd860ed7855c73a5247fa55c9117654 \
+    --hash=sha256:cd6291d0061811c52b8e392f946889916757610d45d004e41140d81fb6cd5ddc \
+    --hash=sha256:d7b7006ac0756306db212fd37116cce2bd307e1e109375e1c6c106002df0ae5f \
+    --hash=sha256:e231e1be58fc568950a04fbe6887c8e4b85310e7889727e2b81db205c45059eb \
+    --hash=sha256:f3d91857d023ba93e14ed2d462ab62c3428f9bbf2b4fbac50a03ca66d31991f7
 six==1.17.0 \
     --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \
     --hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81
     # via python-dateutil
-sqlalchemy==2.0.41 \
-    --hash=sha256:4eeb195cdedaf17aab6b247894ff2734dcead6c08f748e617bfe05bd5a218443 \
-    --hash=sha256:4f67766965996e63bb46cfbf2ce5355fc32d9dd3b8ad7e536a920ff9ee422e23 \
-    --hash=sha256:57df5dc6fdb5ed1a88a1ed2195fd31927e705cad62dedd86b46972752a80f576 \
-    --hash=sha256:82ca366a844eb551daff9d2e6e7a9e5e76d2612c8564f58db6c19a726869c1df \
-    --hash=sha256:a62448526dd9ed3e3beedc93df9bb6b55a436ed1474db31a2af13b313a70a7e1 \
-    --hash=sha256:bfc9064f6658a3d1cadeaa0ba07570b83ce6801a1314985bf98ec9b95d74e15f \
-    --hash=sha256:c153265408d18de4cc5ded1941dcd8315894572cddd3c58df5d5b5705b3fa28d \
-    --hash=sha256:d4ae769b9c1c7757e4ccce94b0641bc203bbdf43ba7a2413ab2523d8d047d8dc \
-    --hash=sha256:dc56c9788617b8964ad02e8fcfeed4001c1f8ba91a9e1f31483c0dffb207002a \
-    --hash=sha256:edba70118c4be3c2b1f90754d308d0b79c6fe2c0fdc52d8ddf603916f83f4db9
+sqlalchemy==2.0.44 \
+    --hash=sha256:0ae7454e1ab1d780aee69fd2aae7d6b8670a581d8847f2d1e0f7ddfbf47e5a22 \
+    --hash=sha256:0b1af8392eb27b372ddb783b317dea0f650241cea5bd29199b22235299ca2e45 \
+    --hash=sha256:15f3326f7f0b2bfe406ee562e17f43f36e16167af99c4c0df61db668de20002d \
+    --hash=sha256:19de7ca1246fbef9f9d1bff8f1ab25641569df226364a0e40457dc5457c54b05 \
+    --hash=sha256:1e77faf6ff919aa8cd63f1c4e561cac1d9a454a191bb864d5dd5e545935e5a40 \
+    --hash=sha256:2b61188657e3a2b9ac4e8f04d6cf8e51046e28175f79464c67f2fd35bceb0976 \
+    --hash=sha256:b87e7b91a5d5973dda5f00cd61ef72ad75a1db73a386b62877d4875a8840959c \
+    --hash=sha256:c1c80faaee1a6c3428cecf40d16a2365bcf56c424c92c2b6f0f9ad204b899e9e \
+    --hash=sha256:ee51625c2d51f8baadf2829fae817ad0b66b140573939dd69284d2ba3553ae73 \
+    --hash=sha256:ff486e183d151e51b1d694c7aa1695747599bb00b9f5f604092b54b74c64a8e1
     # via
-    #   celery
+    #   kombu
     #   livegraphsdjango
 sqlparse==0.5.3 \
     --hash=sha256:09f67787f56a0b16ecdbde1bfc7f5d9c3371ca683cfeaa8e6ff60b4807ec9272 \
@@ -420,9 +562,9 @@ sqlparse==0.5.3 \
     # via
     #   django
     #   django-debug-toolbar
-stevedore==5.4.1 \
-    --hash=sha256:3135b5ae50fe12816ef291baff420acb727fcd356106e3e9cbfa9e5985cd6f4b \
-    --hash=sha256:d10a31c7b86cba16c1f6e8d15416955fc797052351a56af15e608ad20811fcfe
+stevedore==5.5.0 \
+    --hash=sha256:18363d4d268181e8e8452e71a38cd77630f345b2ef6b4a8d5614dac5ee0d18cf \
+    --hash=sha256:d31496a4f4df9825e1a1e4f1f74d19abb0154aff311c3b376fcc89dae8fccd73
     # via bandit
 tinycss2==1.4.0 \
     --hash=sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7 \
@@ -430,14 +572,34 @@ tinycss2==1.4.0 \
     # via
     #   bleach
     #   livegraphsdjango
-types-pyyaml==6.0.12.20250516 \
-    --hash=sha256:8478208feaeb53a34cb5d970c56a7cd76b72659442e733e268a94dc72b2d0530 \
-    --hash=sha256:9f21a70216fc0fa1b216a8176db5f9e0af6eb35d2f2932acb87689d03a5bf6ba
+ty==0.0.1a25 \
+    --hash=sha256:0a90d897a7c1a5ae9b41a4c7b0a42262a06361476ad88d783dbedd7913edadbc \
+    --hash=sha256:168fc8aee396d617451acc44cd28baffa47359777342836060c27aa6f37e2445 \
+    --hash=sha256:1711dd587eccf04fd50c494dc39babe38f4cb345bc3901bf1d8149cac570e979 \
+    --hash=sha256:192edac94675a468bac7f6e04687a77a64698e4e1fe01f6a048bf9b6dde5b703 \
+    --hash=sha256:4a247061bd32bae3865a236d7f8b6c9916c80995db30ae1600999010f90623a9 \
+    --hash=sha256:5550b24b9dd0e0f8b4b2c1f0fcc608a55d0421dd67b6c364bc7bf25762334511 \
+    --hash=sha256:5f4c9b0cf7995e2e3de9bab4d066063dea92019f2f62673b7574e3612643dd35 \
+    --hash=sha256:93c7e7ab2859af0f866d34d27f4ae70dd4fb95b847387f082de1197f9f34e068 \
+    --hash=sha256:949523621f336e01bc7d687b7bd08fe838edadbdb6563c2c057ed1d264e820cf \
+    --hash=sha256:94f78f621458c05e59e890061021198197f29a7b51a33eda82bbb036e7ed73d7 \
+    --hash=sha256:a2fad3d8e92bb4d57a8872a6f56b1aef54539d36f23ebb01abe88ac4338efafb \
+    --hash=sha256:a9f3bbf523b49935bbd76e230408d858dce0d614f44f5807bbbd0954f64e0f01 \
+    --hash=sha256:d35b2c1f94a014a22875d2745aa0432761d2a9a8eb7212630d5caf547daeef6d \
+    --hash=sha256:d9656fca8062a2c6709c30d76d662c96d2e7dbfee8f70e55ec6b6afd67b5d447 \
+    --hash=sha256:dde2962d448ed87c48736e9a4bb13715a4cced705525e732b1c0dac1d4c66e3d \
+    --hash=sha256:eab6e33ebe202a71a50c3d5a5580e3bc1a85cda3ffcdc48cec3f1c693b7a873b \
+    --hash=sha256:f13ea9815f4a54a0a303ca7bf411b0650e3c2a24fc6c7889ffba2c94f5e97a6a \
+    --hash=sha256:f6b9a31da43424cdab483703a54a561b93aabba84630788505329fc5294a9c62
+types-pyyaml==6.0.12.20250915 \
+    --hash=sha256:0f8b54a528c303f0e6f7165687dd33fafa81c807fcac23f632b63aa624ced1d3 \
+    --hash=sha256:e7d4d9e064e89a3b3cae120b4990cd370874d2bf12fa5f46c97018dd5d3c9ab6
     # via django-stubs
-typing-extensions==4.13.2 \
-    --hash=sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c \
-    --hash=sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef
+typing-extensions==4.15.0 \
+    --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \
+    --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548
     # via
+    #   cron-descriptor
     #   django-stubs
     #   django-stubs-ext
     #   mypy
@@ -450,9 +612,9 @@ tzdata==2025.2 \
     #   django-celery-beat
     #   kombu
     #   pandas
-urllib3==2.4.0 \
-    --hash=sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466 \
-    --hash=sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813
+urllib3==2.5.0 \
+    --hash=sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760 \
+    --hash=sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc
     # via requests
 vine==5.1.0 \
     --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \
@@ -461,13 +623,13 @@ vine==5.1.0 \
     #   amqp
     #   celery
     #   kombu
-virtualenv==20.31.2 \
-    --hash=sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11 \
-    --hash=sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af
+virtualenv==20.35.4 \
+    --hash=sha256:643d3914d73d3eeb0c552cbb12d7e82adf0e504dbf86a3182f8771a153a1971c \
+    --hash=sha256:c21c9cede36c9753eeade68ba7d523529f228a403463376cf821eaae2b650f1b
     # via pre-commit
-wcwidth==0.2.13 \
-    --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \
-    --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5
+wcwidth==0.2.14 \
+    --hash=sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605 \
+    --hash=sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1
     # via prompt-toolkit
 webencodings==0.5.1 \
     --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \
@@ -475,11 +637,11 @@ webencodings==0.5.1 \
     # via
     #   bleach
     #   tinycss2
-whitenoise==6.9.0 \
-    --hash=sha256:8c4a7c9d384694990c26f3047e118c691557481d624f069b7f7752a2f735d609 \
-    --hash=sha256:c8a489049b7ee9889617bb4c274a153f3d979e8f51d2efd0f5b403caf41c57df
+whitenoise==6.11.0 \
+    --hash=sha256:0f5bfce6061ae6611cd9396a8231e088722e4fc67bc13a111be74c738d99375f \
+    --hash=sha256:b2aeb45950597236f53b5342b3121c5de69c8da0109362aee506ce88e022d258
     # via livegraphsdjango
-xlsxwriter==3.2.3 \
-    --hash=sha256:593f8296e8a91790c6d0378ab08b064f34a642b3feb787cf6738236bd0a4860d \
-    --hash=sha256:ad6fd41bdcf1b885876b1f6b7087560aecc9ae5a9cc2ba97dcac7ab2e210d3d5
+xlsxwriter==3.2.9 \
+    --hash=sha256:254b1c37a368c444eac6e2f867405cc9e461b0ed97a3233b2ac1e574efb4140c \
+    --hash=sha256:9a5db42bc5dff014806c58a20b9eae7322a134abb6fce3c92c181bfb275ec5b3
     # via livegraphsdjango

seed.spec.ts

@@ -0,0 +1,7 @@
+import { test } from "@playwright/test";
+
+test.describe("Test group", () => {
+  test("seed", async ({ page: _page }) => {
+    // generate code here.
+  });
+});

start.sh

@@ -1,14 +1,18 @@
-#!/bin/bash
+#!/usr/bin/env bash
+
 # Set UV_LINK_MODE to copy to avoid hardlink warnings
+
 export UV_LINK_MODE=copy
 
 # Check if Redis is running
+
 if ! redis-cli ping >/dev/null 2>&1; then
   echo "Starting Redis server..."
   redis-server --daemonize yes
   sleep 1
 
   # Verify Redis is now running
+
   if redis-cli ping >/dev/null 2>&1; then
     echo "✅ Redis server is now running"
   else
@@ -22,6 +26,7 @@ else
 fi
 
 # Set environment variables for Redis if it's running
+
 if redis-cli ping >/dev/null 2>&1; then
   export CELERY_BROKER_URL=redis://localhost:6379/0
   export CELERY_RESULT_BACKEND=redis://localhost:6379/0
@@ -33,4 +38,5 @@ else
 fi
 
 # Start the application using foreman
+
 foreman start

tsconfig.json

@@ -0,0 +1,29 @@
+{
+  "compilerOptions": {
+    // Environment setup & latest features
+    "lib": ["ESNext"],
+    "target": "ESNext",
+    "module": "Preserve",
+    "moduleDetection": "force",
+    "jsx": "react-jsx",
+    "allowJs": true,
+
+    // Bundler mode
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "verbatimModuleSyntax": true,
+    "noEmit": true,
+
+    // Best practices
+    "strict": true,
+    "skipLibCheck": true,
+    "noFallthroughCasesInSwitch": true,
+    "noUncheckedIndexedAccess": true,
+    "noImplicitOverride": true,
+
+    // Some stricter flags (disabled by default)
+    "noUnusedLocals": false,
+    "noUnusedParameters": false,
+    "noPropertyAccessFromIndexSignature": false
+  }
+}

ty.toml

@@ -0,0 +1,26 @@
+# ty Type Checker Configuration
+
+[environment]
+# Django project root for first-party module resolution
+root = ["dashboard_project"]
+# Python version (matches pyproject.toml requires-python)
+python-version = "3.13"
+
+[src]
+# Include only the Django project directory
+include = ["dashboard_project"]
+# Exclude migrations, cache, and generated files
+exclude = [
+  "dashboard_project/migrations",
+  "dashboard_project/*/migrations",
+  "dashboard_project/**/__pycache__",
+  "dashboard_project/**/*.pyc"
+]
+# Respect .gitignore files
+respect-ignore-files = true
+
+[terminal]
+# Use concise output for cleaner CI/CD logs
+output-format = "concise"
+# Treat warnings as errors in CI
+error-on-warning = false