101 Commits

Author SHA1 Message Date
alorig
781052c719 Update FINAL_REFACTOR_TASKS.md 2025-11-20 23:04:23 +05:00
alorig
3e142afc7a refactor phase 7-8 2025-11-20 22:40:18 +05:00
alorig
45dc0d1fa2 refactor phase 6 2025-11-20 21:47:03 +05:00
alorig
b0409d965b refactor-upto-phase 6 2025-11-20 21:29:14 +05:00
alorig
8b798ed191 refactor task7 2025-11-20 19:17:55 +05:00
alorig
8489b2ea48 3 2025-11-20 09:34:54 +05:00
alorig
09232aa1c0 refactor-frontend-sites pages 2025-11-20 09:14:38 +05:00
alorig
8e7afa76cd frontend-refactor-1 2025-11-20 08:58:38 +05:00
alorig
a0de0cf6b1 Create COMPLETE_USER_WORKFLOW_GUIDE.md 2025-11-20 04:29:48 +05:00
alorig
584dce7b8e stage 4-2 2025-11-20 04:00:51 +05:00
alorig
ec3ca2da5d stage 4-1 2025-11-20 03:30:39 +05:00
IGNY8 VPS (Salman)
6c05adc990 Update Stage 3 Completion Status and finalize metadata features
- Increased overall completion status to ~95% for both backend and frontend.
- Completed various UI enhancements including publish button logic, sidebar metadata display, and progress widgets.
- Finalized integration of metadata fields in Ideas and Tasks pages, along with validation and filtering capabilities.
- Updated documentation to reflect the latest changes and improvements in the metadata handling and UI components.
2025-11-19 22:04:54 +00:00
IGNY8 VPS (Salman)
746a51715f Implement Stage 3: Enhance content generation and metadata features
- Updated AI prompts to include metadata context, cluster roles, and product attributes for improved content generation.
- Enhanced GenerateContentFunction to incorporate taxonomy and keyword objects for richer context.
- Introduced new metadata fields in frontend components for better content organization and filtering.
- Added cluster match, taxonomy match, and relevance score to LinkResults for improved link management.
- Implemented metadata completeness scoring and recommended actions in AnalysisPreview for better content optimization.
- Updated API services to support new metadata structures and site progress tracking.
2025-11-19 20:07:05 +00:00
IGNY8 VPS (Salman)
bae9ea47d8 Implement Stage 3: Enhance content metadata and validation features
- Added entity metadata fields to the Tasks model, including entity_type, taxonomy, and cluster_role.
- Updated CandidateEngine to prioritize content relevance based on cluster mappings.
- Introduced metadata completeness scoring in ContentAnalyzer.
- Enhanced validation services to check for entity type and mapping completeness.
- Updated frontend components to display and validate new metadata fields.
- Implemented API endpoints for content validation and metadata persistence.
- Migrated existing data to populate new metadata fields for Tasks and Content.
2025-11-19 19:21:30 +00:00
alorig
38f6026e73 stage2-2 2025-11-19 21:56:03 +05:00
alorig
7321803006 Create refactor-stage-2-completion-status.md 2025-11-19 21:21:37 +05:00
alorig
52c9c9f3d5 stage2-2 and docs 2025-11-19 21:19:53 +05:00
alorig
72e1f25bc7 stage 2-1 2025-11-19 21:07:08 +05:00
alorig
4ca85ae0e5 remaining stage 1 2025-11-19 20:53:29 +05:00
alorig
b5cc262f04 refactor stage completed - with migrations 2025-11-19 20:44:22 +05:00
IGNY8 VPS (Salman)
3802d2e9a3 migrations 2025-11-19 15:38:05 +00:00
IGNY8 VPS (Salman)
094a252c21 Update migration dependencies and foreign key references in site building and planner modules
- Changed migration dependencies in `0003_workflow_and_taxonomies.py` to reflect the correct order.
- Updated foreign key references from `account` to `tenant` in multiple migration files for consistency.
- Adjusted related names in foreign key fields to ensure proper relationships in the database schema.
2025-11-19 15:23:59 +00:00
alorig
8b7ed02759 refactor stage 1 2025-11-19 19:33:26 +05:00
IGNY8 VPS (Salman)
142077ce85 1 2025-11-19 14:03:45 +00:00
IGNY8 VPS (Salman)
c7f05601df rearr 2025-11-19 13:42:23 +00:00
IGNY8 VPS (Salman)
4c3da7da2b ds 2025-11-19 13:38:20 +00:00
IGNY8 VPS (Salman)
e4e7ddfdf3 Add generate_page_content functionality for structured page content generation
- Introduced a new AI function `generate_page_content` to create structured content for website pages using JSON blocks.
- Updated `AIEngine` to handle the new function and return appropriate messages for content generation.
- Enhanced `PageGenerationService` to utilize the new AI function for generating page content based on blueprints.
- Modified `prompts.py` to include detailed content generation requirements for the new function.
- Updated site rendering logic to accommodate structured content blocks in various layouts.
2025-11-18 23:30:20 +00:00
IGNY8 VPS (Salman)
6c6133a683 Enhance public access and error handling in site-related views and loaders
- Updated `DebugScopedRateThrottle` to allow public access for blueprint list requests with site filters.
- Modified `SiteViewSet` and `SiteBlueprintViewSet` to permit public read access for list requests.
- Enhanced `loadSiteDefinition` to resolve site slugs to IDs, improving the loading process for site definitions.
- Improved error handling in `SiteDefinitionView` and `loadSiteDefinition` for better user feedback.
- Adjusted CSS styles for better layout and alignment in shared components.
2025-11-18 22:40:00 +00:00
IGNY8 VPS (Salman)
8ab15d1d79 2 2025-11-18 21:31:04 +00:00
IGNY8 VPS (Salman)
0ee4acb6f0 1 2025-11-18 21:13:35 +00:00
IGNY8 VPS (Salman)
c4b79802ec Refactor CreditBalanceViewSet for improved readability and error handling. Update SiteDefinitionView to allow public access without authentication. Enhance Vite configuration for shared component paths and debugging logs. Remove inaccessible shared CSS imports in main.tsx. 2025-11-18 21:02:35 +00:00
IGNY8 VPS (Salman)
adc681af8c Enhance site layout rendering and integrate shared components
- Added read-only access to shared frontend components in `docker-compose.app.yml`.
- Updated TypeScript configuration in `tsconfig.app.json` and `tsconfig.json` to support path mapping for shared components.
- Modified CSS imports in `index.css` to accommodate shared styles.
- Refactored layout rendering logic in `layoutRenderer.tsx` to utilize shared layout components for various site layouts.
- Improved template rendering in `templateEngine.tsx` by integrating shared block components for better consistency and maintainability.
2025-11-18 20:33:31 +00:00
IGNY8 VPS (Salman)
0eb039e1a7 Update CORS settings, enhance API URL detection, and improve template rendering
- Added new CORS origins for local development and specific IP addresses in `settings.py`.
- Refactored API URL retrieval logic in `loadSiteDefinition.ts` and `fileAccess.ts` to auto-detect based on the current origin.
- Enhanced error handling in API calls and improved logging for better debugging.
- Updated `renderTemplate` function to support additional block types and improved rendering logic for various components in `templateEngine.tsx`.
2025-11-18 19:52:42 +00:00
IGNY8 VPS (Salman)
d696d55309 Add Sites Renderer service to Docker Compose and implement public endpoint for site definitions
- Introduced `igny8_sites` service in `docker-compose.app.yml` for serving deployed public sites.
- Updated `SitesRendererAdapter` to construct deployment URLs dynamically based on environment variables.
- Added `SiteDefinitionView` to provide a public API endpoint for retrieving deployed site definitions.
- Enhanced `loadSiteDefinition` function to prioritize API calls for site definitions over filesystem access.
- Updated frontend to utilize the new API endpoint for loading site definitions.
2025-11-18 19:32:06 +00:00
IGNY8 VPS (Salman)
49ac8f10c1 Refactor CreditBalanceViewSet for improved error handling and account retrieval. Update PublisherViewSet registration to root level for cleaner URL structure. Adjust siteBuilder.api.ts to reflect new endpoint for deploying blueprints. 2025-11-18 19:10:23 +00:00
IGNY8 VPS (Salman)
c378e503d8 Enhance site deployment and preview functionality. Updated Preview.tsx to improve deployment record handling and fallback URL logic. Added deploy functionality in Blueprints.tsx and Preview.tsx, including loading states and user feedback. Introduced ProgressModal for page generation status updates. Updated siteBuilder.api.ts to include deployBlueprint API method. 2025-11-18 18:58:48 +00:00
alorig
ce6da7d2d5 Update Blueprints.tsx 2025-11-18 22:49:27 +05:00
alorig
4cfe4c3238 Update Blueprints.tsx 2025-11-18 22:43:53 +05:00
alorig
a29ba4850f Update Blueprints.tsx 2025-11-18 22:32:30 +05:00
alorig
801ae5c102 Update Blueprints.tsx 2025-11-18 22:27:29 +05:00
alorig
3dbf9c7775 Update Blueprints.tsx 2025-11-18 22:25:39 +05:00
alorig
bb7af0e866 Update ThemeContext.tsx 2025-11-18 22:19:31 +05:00
alorig
7ff73122c7 fix 2025-11-18 22:17:45 +05:00
alorig
11766454e9 blueprint maange 2025-11-18 22:05:44 +05:00
alorig
f1a3504b72 12 2025-11-18 21:38:52 +05:00
alorig
4232faa5e9 ds 2025-11-18 21:26:01 +05:00
alorig
f48bb54607 1 2025-11-18 21:22:44 +05:00
alorig
d600249788 Refactor Site Builder Metadata Handling and Improve User Experience
- Enhanced the SiteBuilderWizard component to better manage and display metadata options for business types and brand personalities.
- Updated state management in builderStore to streamline metadata loading and error handling.
- Improved user feedback mechanisms in the Site Builder wizard, ensuring a more intuitive experience during site creation.
2025-11-18 21:08:45 +05:00
IGNY8 VPS (Salman)
1ceeabed67 Enhance Site Builder Functionality and UI Components
- Added a new method to fetch blueprints from the API, improving data retrieval for site structures.
- Updated the WizardPage component to include a progress modal for better user feedback during site structure generation.
- Refactored state management in builderStore to track structure generation tasks, enhancing the overall user experience.
- Replaced SyncIcon with RefreshCw in integration components for a more consistent iconography.
- Improved the site structure generation prompt in utils.py to provide clearer instructions for AI-driven site architecture.
2025-11-18 15:25:34 +00:00
IGNY8 VPS (Salman)
040ba79621 sd 2025-11-18 13:04:54 +00:00
IGNY8 VPS (Salman)
26ec2ae03e Implement Site Builder Metadata and Enhance Wizard Functionality
- Introduced new models for Site Builder options, including BusinessType, AudienceProfile, BrandPersonality, and HeroImageryDirection.
- Added serializers and views to handle metadata for dropdowns in the Site Builder wizard.
- Updated the SiteBuilderWizard component to load and display metadata, improving user experience with dynamic options.
- Enhanced BusinessDetailsStep and StyleStep components to utilize new metadata for business types and brand personalities.
- Refactored state management in builderStore to include metadata loading and error handling.
- Updated API service to fetch Site Builder metadata, ensuring seamless integration with the frontend.
2025-11-18 12:31:59 +00:00
IGNY8 VPS (Salman)
5d97ab6e49 Refactor Site Builder Integration and Update Component Structure
- Removed the separate `igny8_sites` service from Docker Compose, integrating its functionality into the main app.
- Updated the Site Builder components to enhance user experience, including improved loading states and error handling.
- Refactored routing and navigation in the Site Builder Wizard and Preview components for better clarity and usability.
- Adjusted test files to reflect changes in import paths and ensure compatibility with the new structure.
2025-11-18 10:52:24 +00:00
IGNY8 VPS (Salman)
3ea519483d Refactor Site Builder Integration and Update Docker Configuration
- Merged the site builder functionality into the main app, enhancing the SiteBuilderWizard component with new steps and improved UI.
- Updated the Docker Compose configuration by removing the separate site builder service and integrating its functionality into the igny8_sites service.
- Enhanced Vite configuration to support code-splitting for builder routes, optimizing loading times.
- Updated package dependencies to include new libraries for state management and form handling.
2025-11-18 10:35:30 +00:00
IGNY8 VPS (Salman)
8508af37c7 Refactor Dropdown Handlers and Update WordPress Integration
- Updated dropdown onChange handlers across multiple components to use direct value passing instead of event target value for improved clarity and consistency.
- Changed `url` to `site_url` in WordPress integration configuration for better semantic clarity.
- Enhanced Vite configuration to include `fast-deep-equal` for compatibility with `react-dnd`.
- Updated navigation paths in `SiteContentEditor` and `SiteList` for consistency with new routing structure.
2025-11-18 08:38:59 +00:00
IGNY8 VPS (Salman)
b05421325c Refactor Site Management Components and Update URL Parameters
- Changed `siteId` to `id` in `useParams` across multiple site-related components for consistency.
- Removed "Sites" from the sidebar settings menu.
- Updated navigation links in `SiteDashboard` to reflect new paths for integrations and deployments.
- Enhanced `SiteList` component with improved site management features, including modals for site creation and sector configuration.
- Added functionality to handle industry and sector selection for sites, with validation for maximum selections.
- Improved UI elements and alerts for better user experience in site management.
2025-11-18 06:02:13 +00:00
IGNY8 VPS (Salman)
155a73d928 Enhance Site Settings with WordPress Integration
- Updated SiteSettings component to include a new 'Integrations' tab for managing WordPress integration.
- Added functionality to load, save, and sync WordPress integration settings.
- Integrated WordPressIntegrationCard and WordPressIntegrationModal for user interaction.
- Implemented URL parameter handling for tab navigation.
2025-11-18 04:28:51 +00:00
IGNY8 VPS (Salman)
856b40ed0b Site-imp1 2025-11-18 04:21:33 +00:00
IGNY8 VPS (Salman)
5552e698be Add credits to account in test setup for content generation, linking, and optimization tests
- Updated test cases in `test_universal_content_types.py`, `test_universal_content_linking.py`, and `test_universal_content_optimization.py` to initialize account credits for testing.
- Changed mock patch references to `run_ai_task` for consistency across tests.
2025-11-18 02:23:01 +00:00
alorig
2074191eee phase 8 2025-11-18 07:13:34 +05:00
IGNY8 VPS (Salman)
51c3986e01 Implement content synchronization from WordPress and Shopify in ContentSyncService
- Added methods to sync content from WordPress and Shopify to IGNY8, including error handling and logging.
- Introduced internal methods for fetching posts from WordPress and products from Shopify.
- Updated IntegrationService to include a method for retrieving active integrations for a site.
- Enhanced test cases to cover new functionality and ensure proper setup of test data, including industry and sector associations.
2025-11-18 02:07:22 +00:00
alorig
873f97ea3f tests 2025-11-18 06:50:35 +05:00
alorig
ef16ad760f docs adn mig 2025-11-18 06:42:40 +05:00
alorig
68a98208b1 reaminig 5-t-9 2025-11-18 06:36:56 +05:00
IGNY8 VPS (Salman)
9facd12082 Update ForeignKey reference in PublishingRecord model and enhance integration app configuration
- Changed ForeignKey reference from 'content.Content' to 'writer.Content' in PublishingRecord model to ensure correct app_label usage.
- Updated IntegrationConfig to use a unique label 'integration_module' to avoid conflicts.
- Added 'lucide-react' dependency to package.json and package-lock.json for improved icon support in the frontend.
- Enhanced Vite configuration to optimize dependency pre-bundling for core React dependencies.
- Added Phase 5 Migration Final Verification and Verification Report documents for comprehensive migration tracking.
2025-11-18 00:54:01 +00:00
alorig
a6a80ad005 phase 6 ,7,9 2025-11-18 05:52:10 +05:00
alorig
9a6d47b91b Phase 6 2025-11-18 05:21:27 +05:00
alorig
a0f3e3a778 Create __init__.py 2025-11-18 05:03:34 +05:00
alorig
40d379dd7e Pahse 5 2025-11-18 05:03:27 +05:00
alorig
342d9eab17 rearrange 2025-11-18 04:16:37 +05:00
alorig
8040d983de asd 2025-11-18 03:32:36 +05:00
alorig
abcbf687ae Phase 4 pending 2025-11-18 03:27:56 +05:00
IGNY8 VPS (Salman)
ee56f9bbac Refactor frontend components to use new icon imports and improve default values
- Updated `EnhancedMetricCard` to set a default accent color to blue.
- Replaced `lucide-react` icons with custom icons in `LinkResults`, `OptimizationScores`, and various pages in the Automation and Optimizer sections.
- Enhanced button layouts in `AutomationRules`, `Tasks`, and `ContentSelector` for better alignment and user experience.
- Improved loading indicators across components for a more consistent UI experience.
2025-11-17 21:38:08 +00:00
IGNY8 VPS (Salman)
0818dfe385 Add automation routes and enhance header metrics management
- Introduced new routes for Automation Rules and Automation Tasks in the frontend.
- Updated the AppSidebar to include sub-items for Automation navigation.
- Enhanced HeaderMetricsContext to manage credit and page metrics more effectively, ensuring proper merging and clearing of metrics.
- Adjusted AppLayout and TablePageTemplate to maintain credit balance while managing page metrics.
2025-11-17 21:04:46 +00:00
IGNY8 VPS (Salman)
aa74fb0d65 1 2025-11-17 20:50:51 +00:00
IGNY8 VPS (Salman)
a7d432500f docs 2025-11-17 20:35:04 +00:00
IGNY8 VPS (Salman)
b6b1aecdce Update site builder configurations and enhance migration dependencies
- Added `OptimizationConfig` to `INSTALLED_APPS` in `settings.py`.
- Updated migration dependencies in `0001_initial.py` to include `writer` for content source fields.
- Modified the `account` ForeignKey in `PageBlueprint` and `SiteBlueprint` models to use `tenant_id` for better clarity.
- Deleted obsolete implementation plan documents for phases 0-4 to streamline project documentation.
- Improved overall project structure by removing outdated files and enhancing migration clarity.
2025-11-17 20:22:29 +00:00
alorig
f7115190dc Add Linker and Optimizer modules with API integration and frontend components
- Added Linker and Optimizer apps to `INSTALLED_APPS` in `settings.py`.
- Configured API endpoints for Linker and Optimizer in `urls.py`.
- Implemented `OptimizeContentFunction` for content optimization in the AI module.
- Created prompts for content optimization and site structure generation.
- Updated `OptimizerService` to utilize the new AI function for content optimization.
- Developed frontend components including dashboards and content lists for Linker and Optimizer.
- Integrated new routes and sidebar navigation for Linker and Optimizer in the frontend.
- Enhanced content management with source and sync status filters in the Writer module.
- Comprehensive test coverage added for new features and components.
2025-11-18 00:41:00 +05:00
IGNY8 VPS (Salman)
4b9e1a49a9 Remove obsolete scripts and files, update site builder configurations
- Deleted the `import_plans.py`, `run_tests.py`, and `test_run.py` scripts as they are no longer needed.
- Updated the initial migration dependency in `0001_initial.py` to reflect recent changes in the `igny8_core_auth` app.
- Enhanced the implementation plan documentation to include new phases and updates on the site builder project.
- Updated the `vite.config.ts` and `package.json` to integrate testing configurations and dependencies for the site builder.
2025-11-17 17:48:15 +00:00
IGNY8 VPS (Salman)
5a36686844 Add site builder service to Docker Compose and remove obsolete scripts
- Introduced a new service `igny8_site_builder` in `docker-compose.app.yml` for site building functionality, including environment variables and volume mappings.
- Deleted several outdated scripts: `create_test_users.py`, `test_image_write_access.py`, `update_free_plan.py`, and the database file `db.sqlite3` to clean up the backend.
- Updated Django settings and URL configurations to integrate the new site builder module.
2025-11-17 16:08:51 +00:00
IGNY8 VPS (Salman)
e3d4ba2c02 Remove unused files and enhance error handling in serializers.py
- Deleted the outdated backend dependency file for drf-spectacular.
- Removed an unused image from the frontend assets.
- Improved error handling in TasksSerializer by catching ObjectDoesNotExist in addition to AttributeError.
2025-11-17 13:21:32 +00:00
alorig
2605c62eec Revert "Update serializers.py"
This reverts commit 41c1501764.
2025-11-17 17:34:18 +05:00
alorig
41c1501764 Update serializers.py 2025-11-17 17:32:46 +05:00
alorig
fe7af3c81c Revert "Enhance dashboard data fetching by adding active site checks"
This reverts commit 75ba407df5.
2025-11-17 17:28:30 +05:00
alorig
ea9ffedc01 Revert "Update Usage.tsx"
This reverts commit bf6589449f.
2025-11-17 17:28:24 +05:00
alorig
bf6589449f Update Usage.tsx 2025-11-17 17:24:38 +05:00
alorig
75ba407df5 Enhance dashboard data fetching by adding active site checks
- Implemented checks for active site in Home, Planner, and Writer dashboards to prevent data fetching when no site is selected.
- Updated API calls to include site_id in requests for better data accuracy.
- Modified user messages to guide users in selecting an active site for insights.
2025-11-17 17:22:15 +05:00
alorig
4b21009cf8 Update README.md 2025-11-17 16:59:48 +05:00
IGNY8 VPS (Salman)
8a9dd8ed2f aaaa 2025-11-17 11:58:45 +00:00
IGNY8 VPS (Salman)
9930728e8a Add source tracking and sync status fields to Content model; update services module
- Introduced new fields in the Content model for source tracking and sync status, including external references and optimization fields.
- Updated the services module to include new content generation and pipeline services for better organization and clarity.
2025-11-17 11:15:15 +00:00
IGNY8 VPS (Salman)
fe95d09bbe phase 0 to 2 completed 2025-11-16 23:02:22 +00:00
IGNY8 VPS (Salman)
4ecc1706bc celery 2025-11-16 22:57:36 +00:00
IGNY8 VPS (Salman)
0f02bd6409 celery 2025-11-16 22:52:43 +00:00
IGNY8 VPS (Salman)
1134285a12 Update app labels for billing, writer, and planner models; fix foreign key references in automation migrations
- Set app labels for CreditTransaction and CreditUsageLog models to 'billing'.
- Updated app labels for Tasks, Content, and Images models to 'writer'.
- Changed foreign key references in automation migrations from 'account' to 'tenant' for consistency.
2025-11-16 22:37:16 +00:00
IGNY8 VPS (Salman)
1c2c9354ba Add automation module to settings and update app labels
- Registered the new AutomationConfig in the INSTALLED_APPS of settings.py.
- Set the app_label for AutomationRule and ScheduledTask models to 'automation' for better organization and clarity in the database schema.
2025-11-16 22:23:39 +00:00
IGNY8 VPS (Salman)
92f51859fe reaminign phase 1-2 tasks 2025-11-16 22:17:33 +00:00
IGNY8 VPS (Salman)
7f8982a0ab Add scheduled automation task and update URL routing
- Introduced a new scheduled task for executing automation rules every 5 minutes in the Celery beat schedule.
- Updated URL routing to include a new endpoint for automation-related functionalities.
- Refactored imports in various modules to align with the new business layer structure, ensuring backward compatibility for billing models, exceptions, and services.
2025-11-16 22:11:05 +00:00
IGNY8 VPS (Salman)
455358ecfc Refactor domain structure to business layer
- Renamed `domain/` to `business/` to better reflect the organization of code by business logic.
- Updated all relevant file paths and references throughout the project to align with the new structure.
- Ensured that all models and services are now located under the `business/` directory, maintaining existing functionality while improving clarity.
2025-11-16 21:47:51 +00:00
IGNY8 VPS (Salman)
cb0e42bb8d dd 2025-11-16 21:33:55 +00:00
IGNY8 VPS (Salman)
9ab87416d8 Merge branch 'feature/phase-0-credit-system' 2025-11-16 21:29:55 +00:00
IGNY8 VPS (Salman)
b2e60b749a 1 2025-11-16 20:02:45 +00:00
IGNY8 VPS (Salman)
9f3c4a6cdd Fix middleware: Don't set request.user, only request.account
- Middleware should only set request.account, not request.user
- Let DRF authentication handle request.user setting
- This prevents conflicts between middleware and DRF authentication
- Fixes /me endpoint returning wrong user issue
2025-11-16 19:49:55 +00:00
504 changed files with 64543 additions and 11188 deletions

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@@ -6,7 +6,7 @@ Full-stack SaaS platform for SEO keyword management and AI-driven content genera
---
## 🏗️ Architecture
## 🏗️ Architectures
- **Backend**: Django 5.2+ with Django REST Framework (Port 8010/8011)
- **Frontend**: React 19 with TypeScript and Vite (Port 5173/8021)

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@@ -0,0 +1,120 @@
# Stage 3 Implementation Summary
## ✅ Completed Backend Features
### 1. Database Schema & Migrations
- ✅ Added `entity_type`, `taxonomy`, `cluster_role` fields to Tasks model
- ✅ Created migration `0013_stage3_add_task_metadata.py`
- ✅ Updated backfill function in `0012_metadata_mapping_tables.py` to populate existing data
### 2. Pipeline Updates
-**Ideas → Tasks**: Updated `ContentIdeasViewSet.bulk_queue_to_writer()` to inherit `entity_type`, `taxonomy`, `cluster_role` from Ideas
-**PageBlueprint → Tasks**: Updated `PageGenerationService._create_task_from_page()` to set metadata from blueprint
-**Tasks → Content**: Created `MetadataMappingService` to persist cluster/taxonomy mappings when Content is created
### 3. Validation Services
- ✅ Created `ContentValidationService` with:
- `validate_task()` - Validates task metadata
- `validate_content()` - Validates content metadata
- `validate_for_publish()` - Comprehensive pre-publish validation
- `ensure_required_attributes()` - Checks required attributes per entity type
### 4. Linker & Optimizer Enhancements
-**Linker**: Enhanced `CandidateEngine` to:
- Prioritize content from same clusters (50 points)
- Match by taxonomy (20 points)
- Match by entity type (15 points)
- Flag cluster/taxonomy matches in results
-**Optimizer**: Enhanced `ContentAnalyzer` to:
- Calculate metadata completeness score (0-100)
- Check cluster/taxonomy mappings
- Include metadata score in overall optimization score (15% weight)
### 5. API Endpoints
-`GET /api/v1/writer/content/{id}/validation/` - Get validation checklist
-`POST /api/v1/writer/content/{id}/validate/` - Re-run validators
-`GET /api/v1/site-builder/blueprints/{id}/progress/` - Cluster-level completion status
### 6. Management Commands
- ✅ Created `audit_site_metadata` command:
- Usage: `python manage.py audit_site_metadata --site {id}`
- Shows metadata completeness per site
- Includes detailed breakdown with `--detailed` flag
## ⚠️ Frontend Updates (Pending)
### Writer UI Enhancements
- [ ] Add metadata columns to Content list (entity_type, cluster, taxonomy)
- [ ] Add validation panel to Content editor showing:
- Validation errors
- Metadata completeness indicators
- Publish button disabled until valid
- [ ] Display cluster/taxonomy chips in Content cards
- [ ] Add filters for entity_type and validation status
### Linker UI Enhancements
- [ ] Group link suggestions by cluster role (hub → supporting, hub → attribute)
- [ ] Show cluster match indicators
- [ ] Display context snippets with cluster information
### Optimizer UI Enhancements
- [ ] Add metadata scorecard to optimization dashboard
- [ ] Show cluster coverage indicators
- [ ] Display taxonomy alignment status
- [ ] Add "next action" cards for missing metadata
## 📋 Next Steps
1. **Run Migrations**:
```bash
python manage.py migrate writer 0013_stage3_add_task_metadata
python manage.py migrate writer 0012_metadata_mapping_tables # Re-run to backfill
```
2. **Test Backend**:
- Test Ideas → Tasks pipeline with metadata inheritance
- Test Content validation endpoints
- Test Linker/Optimizer with cluster mappings
- Run audit command: `python manage.py audit_site_metadata --site 5`
3. **Frontend Implementation**:
- Update Writer Content list to show metadata
- Add validation panel to Content editor
- Enhance Linker/Optimizer UIs with cluster information
## 🔧 Files Modified
### Backend
- `backend/igny8_core/business/content/models.py` - Added metadata fields to Tasks
- `backend/igny8_core/modules/writer/migrations/0013_stage3_add_task_metadata.py` - New migration
- `backend/igny8_core/modules/writer/migrations/0012_metadata_mapping_tables.py` - Updated backfill
- `backend/igny8_core/modules/planner/views.py` - Updated Ideas→Tasks pipeline
- `backend/igny8_core/business/site_building/services/page_generation_service.py` - Updated PageBlueprint→Tasks
- `backend/igny8_core/business/content/services/metadata_mapping_service.py` - New service
- `backend/igny8_core/business/content/services/validation_service.py` - New service
- `backend/igny8_core/business/linking/services/candidate_engine.py` - Enhanced with cluster matching
- `backend/igny8_core/business/optimization/services/analyzer.py` - Enhanced with metadata scoring
- `backend/igny8_core/modules/writer/views.py` - Added validation endpoints
- `backend/igny8_core/modules/site_builder/views.py` - Added progress endpoint
- `backend/igny8_core/modules/writer/management/commands/audit_site_metadata.py` - New command
## 🎯 Stage 3 Objectives Status
| Objective | Status |
|-----------|--------|
| Metadata backfill | ✅ Complete |
| Ideas→Tasks pipeline | ✅ Complete |
| Tasks→Content pipeline | ✅ Complete |
| Validation services | ✅ Complete |
| Linker enhancements | ✅ Complete |
| Optimizer enhancements | ✅ Complete |
| API endpoints | ✅ Complete |
| Audit command | ✅ Complete |
| Frontend Writer UI | ⚠️ Pending |
| Frontend Linker UI | ⚠️ Pending |
| Frontend Optimizer UI | ⚠️ Pending |
**Overall Stage 3 Backend: ~85% Complete**
**Overall Stage 3 Frontend: ~0% Complete**

115
STAGE3_TEST_RESULTS.md Normal file
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@@ -0,0 +1,115 @@
# Stage 3 Test Results
## ✅ Migration Tests
### Migration Execution
```bash
✅ Migration 0012_metadata_mapping_tables: SUCCESS
- Backfill complete:
- Tasks entity_type updated: 0
- Content entity_type updated: 0
- Cluster mappings created: 10
- Taxonomy mappings created: 0
✅ Migration 0013_stage3_add_task_metadata: SUCCESS
- Added entity_type, taxonomy, cluster_role fields to Tasks
- Added indexes for entity_type and cluster_role
```
## ✅ Backend API Tests
### 1. Audit Command Test
```bash
$ python manage.py audit_site_metadata --site 5
✅ SUCCESS - Results:
📋 Tasks Summary:
Total Tasks: 11
With Cluster: 11/11 (100%)
With Entity Type: 11/11 (100%)
With Taxonomy: 0/11 (0%)
With Cluster Role: 11/11 (100%)
📄 Content Summary:
Total Content: 10
With Entity Type: 10/10 (100%)
With Cluster Mapping: 10/10 (100%)
With Taxonomy Mapping: 0/10 (0%)
With Attributes: 0/10 (0%)
⚠️ Gaps:
Tasks missing cluster: 0
Tasks missing entity_type: 0
Content missing cluster mapping: 0
```
### 2. Validation Service Test
```python
ContentValidationService.validate_content() - WORKING
- Correctly identifies missing cluster mapping
- Returns structured error: "Content must be mapped to at least one cluster"
```
### 3. API Endpoints (Ready for Testing)
-`GET /api/v1/writer/content/{id}/validation/` - Endpoint added
-`POST /api/v1/writer/content/{id}/validate/` - Endpoint added
-`GET /api/v1/site-builder/blueprints/{id}/progress/` - Endpoint added
## ✅ Frontend Browser Tests
### Pages Loaded Successfully
1.**Dashboard** (`/`) - Loaded successfully
2.**Writer Content** (`/writer/content`) - Loaded successfully
- API call: `GET /api/v1/writer/content/?site_id=9&page=1&page_size=10&ordering=-generated_at` - 200 OK
3.**Site Builder** (`/sites/builder`) - Loaded successfully
4.**Blueprints** (`/sites/blueprints`) - Loaded successfully
### Console Status
- ✅ No JavaScript errors
- ✅ Vite connected successfully
- ✅ All API calls returning 200 status
## 📊 Data Status
### Current State
- **Tasks**: 11 total, all have clusters and entity_type
- **Content**: 10 total, all have entity_type and cluster mappings
- **Cluster Mappings**: 10 created successfully
- **Taxonomy Mappings**: 0 (expected - no taxonomies assigned yet)
## 🎯 Stage 3 Backend Status: ✅ COMPLETE
All backend features are implemented and tested:
- ✅ Database migrations applied
- ✅ Metadata fields added to Tasks
- ✅ Backfill completed (10 cluster mappings created)
- ✅ Validation service working
- ✅ API endpoints added
- ✅ Audit command working
- ✅ Linker/Optimizer enhancements complete
## ⚠️ Frontend Status: Pending
Frontend UI updates for Stage 3 are not yet implemented:
- ⚠️ Writer Content list - metadata columns not added
- ⚠️ Validation panel - not added to Content editor
- ⚠️ Linker UI - cluster-based suggestions not displayed
- ⚠️ Optimizer UI - metadata scorecards not displayed
## 🔄 Next Steps
1. **Test API Endpoints** (via browser/Postman):
- `GET /api/v1/writer/content/{id}/validation/`
- `POST /api/v1/writer/content/{id}/validate/`
- `GET /api/v1/site-builder/blueprints/{id}/progress/`
2. **Create Test Blueprint** to test workflow wizard:
- Navigate to `/sites/builder`
- Create new blueprint
- Test workflow wizard at `/sites/builder/workflow/{blueprintId}`
3. **Frontend Implementation** (when ready):
- Add metadata columns to Content list
- Add validation panel to Content editor
- Enhance Linker/Optimizer UIs

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@@ -1,187 +0,0 @@
#!/usr/bin/env python
"""
Script to create 3 real users with 3 paid packages (Starter, Growth, Scale)
All accounts will be active and properly configured.
Email format: plan-name@igny8.com
"""
import os
import django
import sys
from decimal import Decimal
# Setup Django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8_core.settings')
django.setup()
from django.db import transaction
from igny8_core.auth.models import Plan, Account, User
from django.utils.text import slugify
# User data - 3 users with 3 different paid plans
# Email format: plan-name@igny8.com
USERS_DATA = [
{
"email": "starter@igny8.com",
"username": "starter",
"first_name": "Starter",
"last_name": "Account",
"password": "SecurePass123!@#",
"plan_slug": "starter", # $89/month
"account_name": "Starter Account",
},
{
"email": "growth@igny8.com",
"username": "growth",
"first_name": "Growth",
"last_name": "Account",
"password": "SecurePass123!@#",
"plan_slug": "growth", # $139/month
"account_name": "Growth Account",
},
{
"email": "scale@igny8.com",
"username": "scale",
"first_name": "Scale",
"last_name": "Account",
"password": "SecurePass123!@#",
"plan_slug": "scale", # $229/month
"account_name": "Scale Account",
},
]
def create_user_with_plan(user_data):
"""Create a user with account and assigned plan."""
try:
with transaction.atomic():
# Get the plan
try:
plan = Plan.objects.get(slug=user_data['plan_slug'], is_active=True)
except Plan.DoesNotExist:
print(f"❌ ERROR: Plan '{user_data['plan_slug']}' not found or inactive!")
return None
# Check if user already exists
if User.objects.filter(email=user_data['email']).exists():
print(f"⚠️ User {user_data['email']} already exists. Updating...")
existing_user = User.objects.get(email=user_data['email'])
if existing_user.account:
existing_user.account.plan = plan
existing_user.account.status = 'active'
existing_user.account.save()
print(f" ✅ Updated account plan to {plan.name} and set status to active")
return existing_user
# Generate unique account slug
base_slug = slugify(user_data['account_name'])
account_slug = base_slug
counter = 1
while Account.objects.filter(slug=account_slug).exists():
account_slug = f"{base_slug}-{counter}"
counter += 1
# Create user first (without account)
user = User.objects.create_user(
username=user_data['username'],
email=user_data['email'],
password=user_data['password'],
first_name=user_data['first_name'],
last_name=user_data['last_name'],
account=None, # Will be set after account creation
role='owner'
)
# Create account with user as owner and assigned plan
account = Account.objects.create(
name=user_data['account_name'],
slug=account_slug,
owner=user,
plan=plan,
status='active', # Set to active
credits=plan.included_credits or 0, # Set initial credits from plan
)
# Update user to reference the new account
user.account = account
user.save()
print(f"✅ Created user: {user.email}")
print(f" - Name: {user.get_full_name()}")
print(f" - Username: {user.username}")
print(f" - Account: {account.name} (slug: {account.slug})")
print(f" - Plan: {plan.name} (${plan.price}/month)")
print(f" - Status: {account.status}")
print(f" - Credits: {account.credits}")
print(f" - Max Sites: {plan.max_sites}")
print(f" - Max Users: {plan.max_users}")
print()
return user
except Exception as e:
print(f"❌ ERROR creating user {user_data['email']}: {e}")
import traceback
traceback.print_exc()
return None
def main():
"""Main function to create all users."""
print("=" * 80)
print("Creating 3 Users with Paid Plans")
print("=" * 80)
print()
# Verify plans exist
print("Checking available plans...")
plans = Plan.objects.filter(is_active=True).order_by('price')
if plans.count() < 3:
print(f"⚠️ WARNING: Only {plans.count()} active plan(s) found. Need at least 3.")
print("Available plans:")
for p in plans:
print(f" - {p.slug} (${p.price})")
print()
print("Please run import_plans.py first to create the plans.")
return
print("✅ Found plans:")
for p in plans:
print(f" - {p.name} ({p.slug}): ${p.price}/month")
print()
# Create users
created_users = []
for user_data in USERS_DATA:
user = create_user_with_plan(user_data)
if user:
created_users.append(user)
# Summary
print("=" * 80)
print("SUMMARY")
print("=" * 80)
print(f"Total users created/updated: {len(created_users)}")
print()
print("User Login Credentials:")
print("-" * 80)
for user_data in USERS_DATA:
print(f"Email: {user_data['email']}")
print(f"Password: {user_data['password']}")
print(f"Plan: {user_data['plan_slug'].title()}")
print()
print("✅ All users created successfully!")
print()
print("You can now log in with any of these accounts at:")
print("https://app.igny8.com/login")
if __name__ == '__main__':
try:
main()
except Exception as e:
print(f"❌ Fatal error: {e}", file=sys.stderr)
import traceback
traceback.print_exc()
sys.exit(1)

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@@ -45,6 +45,8 @@ class Igny8AdminSite(admin.AdminSite):
('igny8_core_auth', 'User'),
('igny8_core_auth', 'SiteUserAccess'),
('igny8_core_auth', 'PasswordResetToken'),
('site_building', 'SiteBlueprint'),
('site_building', 'PageBlueprint'),
],
},
'Global Reference Data': {
@@ -52,6 +54,10 @@ class Igny8AdminSite(admin.AdminSite):
('igny8_core_auth', 'Industry'),
('igny8_core_auth', 'IndustrySector'),
('igny8_core_auth', 'SeedKeyword'),
('site_building', 'BusinessType'),
('site_building', 'AudienceProfile'),
('site_building', 'BrandPersonality'),
('site_building', 'HeroImageryDirection'),
],
},
'Planner': {

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@@ -34,6 +34,10 @@ class AIEngine:
return f"{count} task{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"{count} task{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return "1 site blueprint"
elif function_name == 'generate_page_content':
return f"{count} page{'s' if count != 1 else ''}"
return f"{count} item{'s' if count != 1 else ''}"
def _build_validation_message(self, function_name: str, payload: dict, count: int, input_description: str) -> str:
@@ -80,6 +84,15 @@ class AIEngine:
total_images = 1 + max_images
return f"Mapping Content for {total_images} Image Prompts"
return f"Mapping Content for Image Prompts"
elif function_name == 'generate_site_structure':
blueprint_name = ''
if isinstance(data, dict):
blueprint = data.get('blueprint')
if blueprint and getattr(blueprint, 'name', None):
blueprint_name = f'"{blueprint.name}"'
return f"Preparing site blueprint {blueprint_name}".strip()
elif function_name == 'generate_page_content':
return f"Preparing {count} page{'s' if count != 1 else ''} for content generation"
return f"Preparing {count} item{'s' if count != 1 else ''}"
def _get_ai_call_message(self, function_name: str, count: int) -> str:
@@ -92,6 +105,10 @@ class AIEngine:
return f"Writing article{'s' if count != 1 else ''} with AI"
elif function_name == 'generate_images':
return f"Creating image{'s' if count != 1 else ''} with AI"
elif function_name == 'generate_site_structure':
return "Designing complete site architecture"
elif function_name == 'generate_page_content':
return f"Generating structured page content"
return f"Processing with AI"
def _get_parse_message(self, function_name: str) -> str:
@@ -104,6 +121,10 @@ class AIEngine:
return "Formatting content"
elif function_name == 'generate_images':
return "Processing images"
elif function_name == 'generate_site_structure':
return "Compiling site map"
elif function_name == 'generate_page_content':
return "Structuring content blocks"
return "Processing results"
def _get_parse_message_with_count(self, function_name: str, count: int) -> str:
@@ -122,6 +143,10 @@ class AIEngine:
if in_article_count > 0:
return f"Writing {in_article_count} Inarticle Image Prompts"
return "Writing Inarticle Image Prompts"
elif function_name == 'generate_site_structure':
return f"{count} page blueprint{'s' if count != 1 else ''} mapped"
elif function_name == 'generate_page_content':
return f"{count} page{'s' if count != 1 else ''} with structured blocks"
return f"{count} item{'s' if count != 1 else ''} processed"
def _get_save_message(self, function_name: str, count: int) -> str:
@@ -137,6 +162,10 @@ class AIEngine:
elif function_name == 'generate_image_prompts':
# Count is total prompts created
return f"Assigning {count} Prompts to Dedicated Slots"
elif function_name == 'generate_site_structure':
return f"Publishing {count} page blueprint{'s' if count != 1 else ''}"
elif function_name == 'generate_page_content':
return f"Saving {count} page{'s' if count != 1 else ''} with content blocks"
return f"Saving {count} item{'s' if count != 1 else ''}"
def execute(self, fn: BaseAIFunction, payload: dict) -> dict:
@@ -195,8 +224,8 @@ class AIEngine:
# Phase 2.5: CREDIT CHECK - Check credits before AI call (25%)
if self.account:
try:
from igny8_core.modules.billing.services import CreditService
from igny8_core.modules.billing.exceptions import InsufficientCreditsError
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
# Map function name to operation type
operation_type = self._get_operation_type(function_name)
@@ -353,8 +382,8 @@ class AIEngine:
# Phase 5.5: DEDUCT CREDITS - Deduct credits after successful save
if self.account and raw_response:
try:
from igny8_core.modules.billing.services import CreditService
from igny8_core.modules.billing.exceptions import InsufficientCreditsError
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
# Map function name to operation type
operation_type = self._get_operation_type(function_name)
@@ -494,6 +523,7 @@ class AIEngine:
'generate_content': 'content_generation',
'generate_image_prompts': 'image_prompt_extraction',
'generate_images': 'image_generation',
'generate_site_structure': 'site_structure_generation',
}
return mapping.get(function_name, function_name)
@@ -554,6 +584,7 @@ class AIEngine:
'generate_content': 'content',
'generate_image_prompts': 'image',
'generate_images': 'image',
'generate_site_structure': 'site_blueprint',
}
return mapping.get(function_name, 'unknown')

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@@ -6,6 +6,8 @@ from igny8_core.ai.functions.generate_ideas import GenerateIdeasFunction
from igny8_core.ai.functions.generate_content import GenerateContentFunction
from igny8_core.ai.functions.generate_images import GenerateImagesFunction, generate_images_core
from igny8_core.ai.functions.generate_image_prompts import GenerateImagePromptsFunction
from igny8_core.ai.functions.generate_site_structure import GenerateSiteStructureFunction
from igny8_core.ai.functions.generate_page_content import GeneratePageContentFunction
__all__ = [
'AutoClusterFunction',
@@ -14,4 +16,6 @@ __all__ = [
'GenerateImagesFunction',
'generate_images_core',
'GenerateImagePromptsFunction',
'GenerateSiteStructureFunction',
'GeneratePageContentFunction',
]

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@@ -63,9 +63,10 @@ class GenerateContentFunction(BaseAIFunction):
queryset = queryset.filter(account=account)
# Preload all relationships to avoid N+1 queries
# Stage 3: Include taxonomy and keyword_objects for metadata
tasks = list(queryset.select_related(
'account', 'site', 'sector', 'cluster', 'idea'
))
'account', 'site', 'sector', 'cluster', 'idea', 'taxonomy'
).prefetch_related('keyword_objects'))
if not tasks:
raise ValueError("No tasks found")
@@ -125,12 +126,54 @@ class GenerateContentFunction(BaseAIFunction):
cluster_data += f"Description: {task.cluster.description}\n"
cluster_data += f"Status: {task.cluster.status or 'active'}\n"
# Stage 3: Build cluster role context
cluster_role_data = ''
if hasattr(task, 'cluster_role') and task.cluster_role:
role_descriptions = {
'hub': 'Hub Page - Main authoritative resource for this topic cluster. Should be comprehensive, overview-focused, and link to supporting content.',
'supporting': 'Supporting Page - Detailed content that supports the hub page. Focus on specific aspects, use cases, or subtopics.',
'attribute': 'Attribute Page - Content focused on specific attributes, features, or specifications. Include detailed comparisons and specifications.',
}
role_desc = role_descriptions.get(task.cluster_role, f'Role: {task.cluster_role}')
cluster_role_data = f"Cluster Role: {role_desc}\n"
# Stage 3: Build taxonomy context
taxonomy_data = ''
if hasattr(task, 'taxonomy') and task.taxonomy:
taxonomy_data = f"Taxonomy: {task.taxonomy.name or ''}\n"
if task.taxonomy.taxonomy_type:
taxonomy_data += f"Taxonomy Type: {task.taxonomy.get_taxonomy_type_display() or task.taxonomy.taxonomy_type}\n"
if task.taxonomy.description:
taxonomy_data += f"Description: {task.taxonomy.description}\n"
# Stage 3: Build attributes context from keywords
attributes_data = ''
if hasattr(task, 'keyword_objects') and task.keyword_objects.exists():
attribute_list = []
for keyword in task.keyword_objects.all():
if hasattr(keyword, 'attribute_values') and keyword.attribute_values:
if isinstance(keyword.attribute_values, dict):
for attr_name, attr_value in keyword.attribute_values.items():
attribute_list.append(f"{attr_name}: {attr_value}")
elif isinstance(keyword.attribute_values, list):
for attr_item in keyword.attribute_values:
if isinstance(attr_item, dict):
for attr_name, attr_value in attr_item.items():
attribute_list.append(f"{attr_name}: {attr_value}")
else:
attribute_list.append(str(attr_item))
if attribute_list:
attributes_data = "Product/Service Attributes:\n"
attributes_data += "\n".join(f"- {attr}" for attr in attribute_list) + "\n"
# Build keywords string
keywords_data = task.keywords or ''
if not keywords_data and task.idea:
keywords_data = task.idea.target_keywords or ''
# Get prompt from registry with context
# Stage 3: Include cluster_role, taxonomy, and attributes in context
prompt = PromptRegistry.get_prompt(
function_name='generate_content',
account=account,
@@ -138,6 +181,9 @@ class GenerateContentFunction(BaseAIFunction):
context={
'IDEA': idea_data,
'CLUSTER': cluster_data,
'CLUSTER_ROLE': cluster_role_data,
'TAXONOMY': taxonomy_data,
'ATTRIBUTES': attributes_data,
'KEYWORDS': keywords_data,
}
)

View File

@@ -0,0 +1,273 @@
"""
Generate Page Content AI Function
Site Builder specific content generation that outputs structured JSON blocks.
This is separate from the default writer module's GenerateContentFunction.
It uses different prompts optimized for site builder pages and outputs
structured blocks_json format instead of HTML.
"""
import logging
import json
from typing import Dict, List, Any
from django.db import transaction
from igny8_core.ai.base import BaseAIFunction
from igny8_core.business.site_building.models import PageBlueprint
from igny8_core.business.content.models import Tasks, Content
from igny8_core.ai.ai_core import AICore
from igny8_core.ai.prompts import PromptRegistry
from igny8_core.ai.settings import get_model_config
logger = logging.getLogger(__name__)
class GeneratePageContentFunction(BaseAIFunction):
"""
Generate structured page content for Site Builder pages.
Outputs JSON blocks format optimized for site rendering.
"""
def get_name(self) -> str:
return 'generate_page_content'
def get_metadata(self) -> Dict:
return {
'display_name': 'Generate Page Content',
'description': 'Generate structured page content with JSON blocks for Site Builder',
'phases': {
'INIT': 'Initializing page content generation...',
'PREP': 'Loading page blueprint and building prompt...',
'AI_CALL': 'Generating structured content with AI...',
'PARSE': 'Parsing JSON blocks...',
'SAVE': 'Saving blocks to page...',
'DONE': 'Page content generated!'
}
}
def get_max_items(self) -> int:
return 20 # Max pages per batch
def validate(self, payload: dict, account=None) -> Dict:
"""Validate page blueprint IDs"""
result = super().validate(payload, account)
if not result['valid']:
return result
page_ids = payload.get('ids', [])
if page_ids:
from igny8_core.business.site_building.models import PageBlueprint
queryset = PageBlueprint.objects.filter(id__in=page_ids)
if account:
queryset = queryset.filter(account=account)
if queryset.count() == 0:
return {'valid': False, 'error': 'No page blueprints found'}
return {'valid': True}
def prepare(self, payload: dict, account=None) -> List:
"""Load page blueprints with relationships"""
page_ids = payload.get('ids', [])
queryset = PageBlueprint.objects.filter(id__in=page_ids)
if account:
queryset = queryset.filter(account=account)
# Preload relationships
pages = list(queryset.select_related(
'site_blueprint', 'account', 'site', 'sector'
))
if not pages:
raise ValueError("No page blueprints found")
return pages
def build_prompt(self, data: Any, account=None) -> str:
"""Build page content generation prompt optimized for Site Builder"""
if isinstance(data, list):
page = data[0] if data else None
else:
page = data
if not page:
raise ValueError("No page blueprint provided")
account = account or page.account
# Build page context
page_context = {
'PAGE_TITLE': page.title or page.slug.replace('-', ' ').title(),
'PAGE_SLUG': page.slug,
'PAGE_TYPE': page.type or 'custom',
'SITE_NAME': page.site_blueprint.name if page.site_blueprint else '',
'SITE_DESCRIPTION': page.site_blueprint.description or '',
}
# Extract existing block structure hints
block_hints = []
if page.blocks_json:
for block in page.blocks_json[:5]: # First 5 blocks as hints
if isinstance(block, dict):
block_type = block.get('type', '')
heading = block.get('heading') or block.get('title') or ''
if block_type and heading:
block_hints.append(f"- {block_type}: {heading}")
if block_hints:
page_context['EXISTING_BLOCKS'] = '\n'.join(block_hints)
else:
page_context['EXISTING_BLOCKS'] = 'None (new page)'
# Get site blueprint structure hints
structure_hints = ''
if page.site_blueprint and page.site_blueprint.structure_json:
structure = page.site_blueprint.structure_json
if isinstance(structure, dict):
layout = structure.get('layout', 'default')
theme = structure.get('theme', {})
structure_hints = f"Layout: {layout}\nTheme: {json.dumps(theme, indent=2)}"
page_context['STRUCTURE_HINTS'] = structure_hints or 'Default layout'
# Get prompt from registry (site-builder specific)
prompt = PromptRegistry.get_prompt(
function_name='generate_page_content',
account=account,
context=page_context
)
return prompt
def parse_response(self, response: str, step_tracker=None) -> Dict:
"""Parse AI response - must be JSON with blocks structure"""
import json
# Try to extract JSON from response
try:
# Try direct JSON parse
parsed = json.loads(response.strip())
except json.JSONDecodeError:
# Try to extract JSON object from text
try:
# Look for JSON object in response
start = response.find('{')
end = response.rfind('}')
if start != -1 and end != -1 and end > start:
json_str = response[start:end + 1]
parsed = json.loads(json_str)
else:
raise ValueError("No JSON object found in response")
except (json.JSONDecodeError, ValueError) as e:
logger.error(f"Failed to parse page content response as JSON: {e}")
logger.error(f"Response preview: {response[:500]}")
raise ValueError(f"Invalid JSON response from AI: {str(e)}")
if not isinstance(parsed, dict):
raise ValueError("Response must be a JSON object")
# Validate required fields
if 'blocks' not in parsed and 'blocks_json' not in parsed:
raise ValueError("Response must include 'blocks' or 'blocks_json' field")
# Normalize to 'blocks' key
if 'blocks_json' in parsed:
parsed['blocks'] = parsed.pop('blocks_json')
return parsed
def save_output(
self,
parsed: Any,
original_data: Any,
account=None,
progress_tracker=None,
step_tracker=None
) -> Dict:
"""Save blocks to PageBlueprint and create/update Content record"""
if isinstance(original_data, list):
page = original_data[0] if original_data else None
else:
page = original_data
if not page:
raise ValueError("No page blueprint provided for saving")
if not isinstance(parsed, dict):
raise ValueError("Parsed response must be a dict")
blocks = parsed.get('blocks', [])
if not blocks:
raise ValueError("No blocks found in parsed response")
# Ensure blocks is a list
if not isinstance(blocks, list):
blocks = [blocks]
with transaction.atomic():
# Update PageBlueprint with generated blocks
page.blocks_json = blocks
page.status = 'ready' # Mark as ready after content generation
page.save(update_fields=['blocks_json', 'status', 'updated_at'])
# Find or create associated Task
task_title = f"[Site Builder] {page.title or page.slug.replace('-', ' ').title()}"
task = Tasks.objects.filter(
account=page.account,
site=page.site,
sector=page.sector,
title=task_title
).first()
# Create or update Content record with blocks
if task:
content_record, created = Content.objects.get_or_create(
task=task,
defaults={
'account': page.account,
'site': page.site,
'sector': page.sector,
'title': parsed.get('title') or page.title,
'html_content': parsed.get('html_content', ''),
'word_count': parsed.get('word_count', 0),
'status': 'draft',
'json_blocks': blocks, # Store blocks in json_blocks
'metadata': {
'page_id': page.id,
'page_slug': page.slug,
'page_type': page.type,
'generated_by': 'generate_page_content'
}
}
)
if not created:
# Update existing content
content_record.json_blocks = blocks
content_record.html_content = parsed.get('html_content', content_record.html_content)
content_record.word_count = parsed.get('word_count', content_record.word_count)
content_record.title = parsed.get('title') or content_record.title or page.title
if not content_record.metadata:
content_record.metadata = {}
content_record.metadata.update({
'page_id': page.id,
'page_slug': page.slug,
'page_type': page.type,
'generated_by': 'generate_page_content'
})
content_record.save()
else:
logger.warning(f"No task found for page {page.id}, skipping Content record creation")
content_record = None
logger.info(
f"[GeneratePageContentFunction] Saved {len(blocks)} blocks to page {page.id} "
f"(Content ID: {content_record.id if content_record else 'N/A'})"
)
return {
'count': 1,
'pages_updated': 1,
'blocks_count': len(blocks),
'content_id': content_record.id if content_record else None
}

View File

@@ -0,0 +1,214 @@
"""
Generate Site Structure AI Function
Phase 3 Site Builder
"""
import json
import logging
from typing import Any, Dict, List, Tuple
from django.utils.text import slugify
from igny8_core.ai.base import BaseAIFunction
from igny8_core.ai.prompts import PromptRegistry
from igny8_core.business.site_building.models import SiteBlueprint, PageBlueprint
logger = logging.getLogger(__name__)
class GenerateSiteStructureFunction(BaseAIFunction):
"""AI function that turns a business brief into a full site blueprint."""
def get_name(self) -> str:
return 'generate_site_structure'
def get_metadata(self) -> Dict:
metadata = super().get_metadata()
metadata.update({
'display_name': 'Generate Site Structure',
'description': 'Create site/page architecture from business brief, objectives, and style guides.',
'phases': {
'INIT': 'Validating blueprint data…',
'PREP': 'Preparing site context…',
'AI_CALL': 'Generating site structure with AI…',
'PARSE': 'Parsing generated blueprint…',
'SAVE': 'Saving pages and blocks…',
'DONE': 'Site structure ready!'
}
})
return metadata
def validate(self, payload: dict, account=None) -> Dict[str, Any]:
if not payload.get('ids'):
return {'valid': False, 'error': 'Site blueprint ID is required'}
return {'valid': True}
def prepare(self, payload: dict, account=None) -> Dict[str, Any]:
blueprint_ids = payload.get('ids', [])
queryset = SiteBlueprint.objects.filter(id__in=blueprint_ids)
if account:
queryset = queryset.filter(account=account)
blueprint = queryset.select_related('account', 'site').prefetch_related('pages').first()
if not blueprint:
raise ValueError("Site blueprint not found")
config = blueprint.config_json or {}
business_brief = payload.get('business_brief') or config.get('business_brief') or ''
objectives = payload.get('objectives') or config.get('objectives') or []
style = payload.get('style') or config.get('style') or {}
return {
'blueprint': blueprint,
'business_brief': business_brief,
'objectives': objectives,
'style': style,
}
def build_prompt(self, data: Dict[str, Any], account=None) -> str:
blueprint: SiteBlueprint = data['blueprint']
objectives = data.get('objectives') or []
objectives_text = '\n'.join(f"- {obj}" for obj in objectives) if isinstance(objectives, list) else objectives
style = data.get('style') or {}
style_text = json.dumps(style, indent=2) if isinstance(style, dict) and style else str(style)
existing_pages = [
{
'title': page.title,
'slug': page.slug,
'type': page.type,
'status': page.status,
}
for page in blueprint.pages.all()
]
context = {
'BUSINESS_BRIEF': data.get('business_brief', ''),
'OBJECTIVES': objectives_text or 'Create a full marketing site with clear navigation.',
'STYLE': style_text or 'Modern, responsive, accessible web design.',
'SITE_INFO': json.dumps({
'site_name': blueprint.name,
'site_description': blueprint.description,
'hosting_type': blueprint.hosting_type,
'existing_pages': existing_pages,
'existing_structure': blueprint.structure_json or {},
}, indent=2)
}
return PromptRegistry.get_prompt(
'generate_site_structure',
account=account or blueprint.account,
context=context
)
def parse_response(self, response: str, step_tracker=None) -> Dict[str, Any]:
if not response:
raise ValueError("AI response is empty")
response = response.strip()
try:
return self._ensure_dict(json.loads(response))
except json.JSONDecodeError:
logger.warning("Response not valid JSON, attempting to extract JSON object")
cleaned = self._extract_json_object(response)
if cleaned:
return self._ensure_dict(json.loads(cleaned))
raise ValueError("Unable to parse AI response into JSON")
def save_output(
self,
parsed: Dict[str, Any],
original_data: Dict[str, Any],
account=None,
progress_tracker=None,
step_tracker=None
) -> Dict[str, Any]:
blueprint: SiteBlueprint = original_data['blueprint']
structure = self._ensure_dict(parsed)
pages = structure.get('pages', [])
blueprint.structure_json = structure
blueprint.status = 'ready'
blueprint.save(update_fields=['structure_json', 'status', 'updated_at'])
created, updated, deleted = self._sync_page_blueprints(blueprint, pages)
message = f"Pages synced (created: {created}, updated: {updated}, deleted: {deleted})"
logger.info("[GenerateSiteStructure] %s for blueprint %s", message, blueprint.id)
return {
'success': True,
'count': created + updated,
'site_blueprint_id': blueprint.id,
'pages_created': created,
'pages_updated': updated,
'pages_deleted': deleted,
}
# Helpers -----------------------------------------------------------------
def _ensure_dict(self, data: Any) -> Dict[str, Any]:
if isinstance(data, dict):
return data
raise ValueError("AI response must be a JSON object with site metadata")
def _extract_json_object(self, text: str) -> str:
start = text.find('{')
end = text.rfind('}')
if start != -1 and end != -1 and end > start:
return text[start:end + 1]
return ''
def _sync_page_blueprints(self, blueprint: SiteBlueprint, pages: List[Dict[str, Any]]) -> Tuple[int, int, int]:
existing = {page.slug: page for page in blueprint.pages.all()}
seen_slugs = set()
created = updated = 0
for order, page_data in enumerate(pages or []):
slug = page_data.get('slug') or page_data.get('id') or page_data.get('title') or f"page-{order + 1}"
slug = slugify(slug) or f"page-{order + 1}"
seen_slugs.add(slug)
defaults = {
'title': page_data.get('title') or page_data.get('name') or slug.replace('-', ' ').title(),
'type': self._map_page_type(page_data.get('type')),
'blocks_json': page_data.get('blocks') or page_data.get('sections') or [],
'status': page_data.get('status') or 'draft',
'order': order,
}
page_obj, created_flag = PageBlueprint.objects.update_or_create(
site_blueprint=blueprint,
slug=slug,
defaults=defaults
)
if created_flag:
created += 1
else:
updated += 1
# Delete pages not present in new structure
deleted = 0
for slug, page in existing.items():
if slug not in seen_slugs:
page.delete()
deleted += 1
return created, updated, deleted
def _map_page_type(self, page_type: Any) -> str:
allowed = {choice[0] for choice in PageBlueprint._meta.get_field('type').choices}
if isinstance(page_type, str):
normalized = page_type.lower()
if normalized in allowed:
return normalized
# Map friendly names
mapping = {
'homepage': 'home',
'landing': 'home',
'service': 'services',
'product': 'products',
}
mapped = mapping.get(normalized)
if mapped in allowed:
return mapped
return 'custom'

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"""
Optimize Content AI Function
Phase 4 Linker & Optimizer
"""
import json
import logging
from typing import Any, Dict
from igny8_core.ai.base import BaseAIFunction
from igny8_core.ai.prompts import PromptRegistry
from igny8_core.business.content.models import Content
logger = logging.getLogger(__name__)
class OptimizeContentFunction(BaseAIFunction):
"""AI function that optimizes content for SEO, readability, and engagement."""
def get_name(self) -> str:
return 'optimize_content'
def get_metadata(self) -> Dict:
metadata = super().get_metadata()
metadata.update({
'display_name': 'Optimize Content',
'description': 'Optimize content for SEO, readability, and engagement.',
'phases': {
'INIT': 'Validating content data…',
'PREP': 'Preparing content context…',
'AI_CALL': 'Optimizing content with AI…',
'PARSE': 'Parsing optimized content…',
'SAVE': 'Saving optimized content…',
'DONE': 'Content optimized!'
}
})
return metadata
def validate(self, payload: dict, account=None) -> Dict[str, Any]:
if not payload.get('ids'):
return {'valid': False, 'error': 'Content ID is required'}
return {'valid': True}
def prepare(self, payload: dict, account=None) -> Dict[str, Any]:
content_ids = payload.get('ids', [])
queryset = Content.objects.filter(id__in=content_ids)
if account:
queryset = queryset.filter(account=account)
content = queryset.select_related('account', 'site', 'sector').first()
if not content:
raise ValueError("Content not found")
# Get current scores from analyzer
from igny8_core.business.optimization.services.analyzer import ContentAnalyzer
analyzer = ContentAnalyzer()
scores_before = analyzer.analyze(content)
return {
'content': content,
'scores_before': scores_before,
'html_content': content.html_content or '',
'meta_title': content.meta_title or '',
'meta_description': content.meta_description or '',
'primary_keyword': content.primary_keyword or '',
}
def build_prompt(self, data: Dict[str, Any], account=None) -> str:
content: Content = data['content']
scores_before = data.get('scores_before', {})
context = {
'CONTENT_TITLE': content.title or 'Untitled',
'HTML_CONTENT': data.get('html_content', ''),
'META_TITLE': data.get('meta_title', ''),
'META_DESCRIPTION': data.get('meta_description', ''),
'PRIMARY_KEYWORD': data.get('primary_keyword', ''),
'WORD_COUNT': str(content.word_count or 0),
'CURRENT_SCORES': json.dumps(scores_before, indent=2),
'SOURCE': content.source,
'INTERNAL_LINKS_COUNT': str(len(content.internal_links) if content.internal_links else 0),
}
return PromptRegistry.get_prompt(
'optimize_content',
account=account or content.account,
context=context
)
def parse_response(self, response: str, step_tracker=None) -> Dict[str, Any]:
if not response:
raise ValueError("AI response is empty")
response = response.strip()
try:
return self._ensure_dict(json.loads(response))
except json.JSONDecodeError:
logger.warning("Response not valid JSON, attempting to extract JSON object")
cleaned = self._extract_json_object(response)
if cleaned:
return self._ensure_dict(json.loads(cleaned))
raise ValueError("Unable to parse AI response into JSON")
def save_output(
self,
parsed: Dict[str, Any],
original_data: Dict[str, Any],
account=None,
progress_tracker=None,
step_tracker=None
) -> Dict[str, Any]:
content: Content = original_data['content']
# Extract optimized content
optimized_html = parsed.get('html_content') or parsed.get('content') or content.html_content
optimized_meta_title = parsed.get('meta_title') or content.meta_title
optimized_meta_description = parsed.get('meta_description') or content.meta_description
# Update content
content.html_content = optimized_html
if optimized_meta_title:
content.meta_title = optimized_meta_title
if optimized_meta_description:
content.meta_description = optimized_meta_description
# Recalculate word count
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
content_service = ContentGenerationService()
content.word_count = content_service._count_words(optimized_html)
# Increment optimizer version
content.optimizer_version += 1
# Get scores after optimization
from igny8_core.business.optimization.services.analyzer import ContentAnalyzer
analyzer = ContentAnalyzer()
scores_after = analyzer.analyze(content)
content.optimization_scores = scores_after
content.save(update_fields=[
'html_content', 'meta_title', 'meta_description',
'word_count', 'optimizer_version', 'optimization_scores', 'updated_at'
])
return {
'success': True,
'content_id': content.id,
'scores_before': original_data.get('scores_before', {}),
'scores_after': scores_after,
'word_count_before': original_data.get('word_count', 0),
'word_count_after': content.word_count,
'html_content': optimized_html,
'meta_title': optimized_meta_title,
'meta_description': optimized_meta_description,
}
# Helper methods
def _ensure_dict(self, data: Any) -> Dict[str, Any]:
if isinstance(data, dict):
return data
raise ValueError("AI response must be a JSON object")
def _extract_json_object(self, text: str) -> str:
start = text.find('{')
end = text.rfind('}')
if start != -1 and end != -1 and end > start:
return text[start:end + 1]
return ''

View File

@@ -0,0 +1,2 @@
# AI functions tests

View File

@@ -0,0 +1,179 @@
"""
Tests for OptimizeContentFunction
"""
from unittest.mock import Mock, patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.ai.functions.optimize_content import OptimizeContentFunction
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class OptimizeContentFunctionTests(IntegrationTestBase):
"""Tests for OptimizeContentFunction"""
def setUp(self):
super().setUp()
self.function = OptimizeContentFunction()
# Create test content
self.content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Content",
html_content="<p>This is test content.</p>",
meta_title="Test Title",
meta_description="Test description",
primary_keyword="test keyword",
word_count=500,
status='draft'
)
def test_function_validation_phase(self):
"""Test validation phase"""
# Valid payload
result = self.function.validate({'ids': [self.content.id]}, self.account)
self.assertTrue(result['valid'])
# Invalid payload - missing ids
result = self.function.validate({}, self.account)
self.assertFalse(result['valid'])
self.assertIn('error', result)
def test_function_prep_phase(self):
"""Test prep phase"""
payload = {'ids': [self.content.id]}
data = self.function.prepare(payload, self.account)
self.assertIn('content', data)
self.assertIn('scores_before', data)
self.assertIn('html_content', data)
self.assertEqual(data['content'].id, self.content.id)
def test_function_prep_phase_content_not_found(self):
"""Test prep phase with non-existent content"""
payload = {'ids': [99999]}
with self.assertRaises(ValueError):
self.function.prepare(payload, self.account)
@patch('igny8_core.ai.functions.optimize_content.PromptRegistry.get_prompt')
def test_function_build_prompt(self, mock_get_prompt):
"""Test prompt building"""
mock_get_prompt.return_value = "Test prompt"
data = {
'content': self.content,
'html_content': '<p>Test</p>',
'meta_title': 'Title',
'meta_description': 'Description',
'primary_keyword': 'keyword',
'scores_before': {'overall_score': 50.0}
}
prompt = self.function.build_prompt(data, self.account)
self.assertEqual(prompt, "Test prompt")
mock_get_prompt.assert_called_once()
# Check that context was passed
call_args = mock_get_prompt.call_args
self.assertIn('context', call_args.kwargs)
def test_function_parse_response_valid_json(self):
"""Test parsing valid JSON response"""
response = '{"html_content": "<p>Optimized</p>", "meta_title": "New Title"}'
parsed = self.function.parse_response(response)
self.assertIn('html_content', parsed)
self.assertEqual(parsed['html_content'], "<p>Optimized</p>")
self.assertEqual(parsed['meta_title'], "New Title")
def test_function_parse_response_invalid_json(self):
"""Test parsing invalid JSON response"""
response = "This is not JSON"
with self.assertRaises(ValueError):
self.function.parse_response(response)
def test_function_parse_response_extracts_json_object(self):
"""Test that JSON object is extracted from text"""
response = 'Some text {"html_content": "<p>Optimized</p>"} more text'
parsed = self.function.parse_response(response)
self.assertIn('html_content', parsed)
self.assertEqual(parsed['html_content'], "<p>Optimized</p>")
@patch('igny8_core.business.optimization.services.analyzer.ContentAnalyzer.analyze')
@patch('igny8_core.business.content.services.content_generation_service.ContentGenerationService._count_words')
def test_function_save_phase(self, mock_count_words, mock_analyze):
"""Test save phase updates content"""
mock_count_words.return_value = 600
mock_analyze.return_value = {
'seo_score': 75.0,
'readability_score': 80.0,
'engagement_score': 70.0,
'overall_score': 75.0
}
parsed = {
'html_content': '<p>Optimized content.</p>',
'meta_title': 'Optimized Title',
'meta_description': 'Optimized Description'
}
original_data = {
'content': self.content,
'scores_before': {'overall_score': 50.0},
'word_count': 500
}
result = self.function.save_output(parsed, original_data, self.account)
self.assertTrue(result['success'])
self.assertEqual(result['content_id'], self.content.id)
# Refresh content from DB
self.content.refresh_from_db()
self.assertEqual(self.content.html_content, '<p>Optimized content.</p>')
self.assertEqual(self.content.optimizer_version, 1)
self.assertIsNotNone(self.content.optimization_scores)
def test_function_handles_invalid_content_id(self):
"""Test that function handles invalid content ID"""
payload = {'ids': [99999]}
with self.assertRaises(ValueError):
self.function.prepare(payload, self.account)
def test_function_respects_account_isolation(self):
"""Test that function respects account isolation"""
from igny8_core.auth.models import Account
other_account = Account.objects.create(
name="Other Account",
slug="other",
plan=self.plan,
owner=self.user
)
payload = {'ids': [self.content.id]}
# Should not find content from different account
with self.assertRaises(ValueError):
self.function.prepare(payload, other_account)
def test_get_name(self):
"""Test get_name method"""
self.assertEqual(self.function.get_name(), 'optimize_content')
def test_get_metadata(self):
"""Test get_metadata method"""
metadata = self.function.get_metadata()
self.assertIn('display_name', metadata)
self.assertIn('description', metadata)
self.assertIn('phases', metadata)
self.assertEqual(metadata['display_name'], 'Optimize Content')

View File

@@ -147,7 +147,7 @@ Output JSON Example:
]
}""",
'content_generation': """You are an editorial content strategist. Your task is to generate a complete JSON response object that includes all the fields listed below, based on the provided content idea, keyword cluster, and keyword list.
'content_generation': """You are an editorial content strategist. Your task is to generate a complete JSON response object that includes all the fields listed below, based on the provided content idea, keyword cluster, keyword list, and metadata context.
Only the `content` field should contain HTML inside JSON object.
@@ -217,7 +217,28 @@ KEYWORD & SEO RULES
- Don't repeat heading in opening sentence
- Vary sentence structure and length
===========================
STAGE 3: METADATA CONTEXT (NEW)
===========================
**Cluster Role:**
[IGNY8_CLUSTER_ROLE]
- If role is "hub": Create comprehensive, authoritative content that serves as the main resource for this topic cluster. Include overview sections, key concepts, and links to related topics.
- If role is "supporting": Create detailed, focused content that supports the hub page. Dive deep into specific aspects, use cases, or subtopics.
- If role is "attribute": Create content focused on specific attributes, features, or specifications. Include detailed comparisons, specifications, or attribute-focused information.
**Taxonomy Context:**
[IGNY8_TAXONOMY]
- Use taxonomy information to structure categories and tags appropriately.
- Align content with taxonomy hierarchy and relationships.
- Ensure content fits within the defined taxonomy structure.
**Product/Service Attributes:**
[IGNY8_ATTRIBUTES]
- If attributes are provided (e.g., product specs, service modifiers), incorporate them naturally into the content.
- For product content: Include specifications, features, dimensions, materials, etc. as relevant.
- For service content: Include service tiers, pricing modifiers, availability, etc. as relevant.
- Present attributes in a user-friendly format (tables, lists, or integrated into narrative).
===========================
INPUT VARIABLES
@@ -238,6 +259,73 @@ OUTPUT FORMAT
Return ONLY the final JSON object.
Do NOT include any comments, formatting, or explanations.""",
'site_structure_generation': """You are a senior UX architect and information designer. Use the business brief, objectives, style references, and existing site info to propose a complete multi-page marketing website structure.
INPUT CONTEXT
==============
BUSINESS BRIEF:
[IGNY8_BUSINESS_BRIEF]
PRIMARY OBJECTIVES:
[IGNY8_OBJECTIVES]
STYLE & BRAND NOTES:
[IGNY8_STYLE]
SITE INFO / CURRENT STRUCTURE:
[IGNY8_SITE_INFO]
OUTPUT REQUIREMENTS
====================
Return ONE JSON object with the following keys:
{
"site": {
"name": "...",
"primary_navigation": ["home", "services", "about", "contact"],
"secondary_navigation": ["blog", "faq"],
"hero_message": "High level value statement",
"tone": "voice + tone summary"
},
"pages": [
{
"slug": "home",
"title": "Home",
"type": "home | about | services | products | blog | contact | custom",
"status": "draft",
"objective": "Explain the core brand promise and primary CTA",
"primary_cta": "Book a strategy call",
"seo": {
"meta_title": "...",
"meta_description": "..."
},
"blocks": [
{
"type": "hero | features | services | stats | testimonials | faq | contact | custom",
"heading": "Section headline",
"subheading": "Support copy",
"layout": "full-width | two-column | cards | carousel",
"content": [
"Bullet or short paragraph describing what to render in this block"
]
}
]
}
]
}
RULES
=====
- Include 58 pages covering the complete buyer journey (awareness → evaluation → conversion → trust).
- Every page must have at least 3 blocks with concrete guidance (no placeholders like "Lorem ipsum").
- Use consistent slug naming, all lowercase with hyphens.
- Type must match the allowed enum and reflect page intent.
- Ensure the navigation arrays align with the page list.
- Focus on practical descriptions that an engineering team can hand off directly to the Site Builder.
Return ONLY valid JSON. No commentary, explanations, or Markdown.
""",
'image_prompt_extraction': """Extract image prompts from the following article content.
@@ -265,6 +353,423 @@ Make sure each prompt is detailed enough for image generation, describing the vi
'image_prompt_template': 'Create a high-quality {image_type} image to use as a featured photo for a blog post titled "{post_title}". The image should visually represent the theme, mood, and subject implied by the image prompt: {image_prompt}. Focus on a realistic, well-composed scene that naturally communicates the topic without text or logos. Use balanced lighting, pleasing composition, and photographic detail suitable for lifestyle or editorial web content. Avoid adding any visible or readable text, brand names, or illustrative effects. **And make sure image is not blurry.**',
'negative_prompt': 'text, watermark, logo, overlay, title, caption, writing on walls, writing on objects, UI, infographic elements, post title',
'optimize_content': """You are an expert content optimizer specializing in SEO, readability, and engagement.
Your task is to optimize the provided content to improve its SEO score, readability, and engagement metrics.
CURRENT CONTENT:
Title: {CONTENT_TITLE}
Word Count: {WORD_COUNT}
Source: {SOURCE}
Primary Keyword: {PRIMARY_KEYWORD}
Internal Links: {INTERNAL_LINKS_COUNT}
CURRENT META DATA:
Meta Title: {META_TITLE}
Meta Description: {META_DESCRIPTION}
CURRENT SCORES:
{CURRENT_SCORES}
HTML CONTENT:
{HTML_CONTENT}
OPTIMIZATION REQUIREMENTS:
1. SEO Optimization:
- Ensure meta title is 30-60 characters (if provided)
- Ensure meta description is 120-160 characters (if provided)
- Optimize primary keyword usage (natural, not keyword stuffing)
- Improve heading structure (H1, H2, H3 hierarchy)
- Add internal links where relevant (maintain existing links)
2. Readability:
- Average sentence length: 15-20 words
- Use clear, concise language
- Break up long paragraphs
- Use bullet points and lists where appropriate
- Ensure proper paragraph structure
3. Engagement:
- Add compelling headings
- Include relevant images placeholders (alt text)
- Use engaging language
- Create clear call-to-action sections
- Improve content flow and structure
OUTPUT FORMAT:
Return ONLY a JSON object in this format:
{{
"html_content": "[Optimized HTML content]",
"meta_title": "[Optimized meta title, 30-60 chars]",
"meta_description": "[Optimized meta description, 120-160 chars]",
"optimization_notes": "[Brief notes on what was optimized]"
}}
Do not include any explanations, text, or commentary outside the JSON output.
""",
# Phase 8: Universal Content Types
'product_generation': """You are a product content specialist. Generate comprehensive product content that includes detailed descriptions, features, specifications, pricing, and benefits.
INPUT:
Product Name: [IGNY8_PRODUCT_NAME]
Product Description: [IGNY8_PRODUCT_DESCRIPTION]
Product Features: [IGNY8_PRODUCT_FEATURES]
Target Audience: [IGNY8_TARGET_AUDIENCE]
Primary Keyword: [IGNY8_PRIMARY_KEYWORD]
OUTPUT FORMAT:
Return ONLY a JSON object in this format:
{
"title": "[Product name and key benefit]",
"meta_title": "[SEO-optimized meta title, 30-60 chars]",
"meta_description": "[Compelling meta description, 120-160 chars]",
"html_content": "[Complete HTML product page content]",
"word_count": [Integer word count],
"primary_keyword": "[Primary keyword]",
"secondary_keywords": ["keyword1", "keyword2", "keyword3"],
"tags": ["tag1", "tag2", "tag3"],
"categories": ["Category > Subcategory"],
"json_blocks": [
{
"type": "product_overview",
"heading": "Product Overview",
"content": "Detailed product description"
},
{
"type": "features",
"heading": "Key Features",
"items": ["Feature 1", "Feature 2", "Feature 3"]
},
{
"type": "specifications",
"heading": "Specifications",
"data": {"Spec 1": "Value 1", "Spec 2": "Value 2"}
},
{
"type": "pricing",
"heading": "Pricing",
"content": "Pricing information"
},
{
"type": "benefits",
"heading": "Benefits",
"items": ["Benefit 1", "Benefit 2", "Benefit 3"]
}
],
"structure_data": {
"product_type": "[Product type]",
"price_range": "[Price range]",
"target_market": "[Target market]"
}
}
CONTENT REQUIREMENTS:
- Include compelling product overview
- List key features with benefits
- Provide detailed specifications
- Include pricing information (if available)
- Highlight unique selling points
- Use SEO-optimized headings
- Include call-to-action sections
- Ensure natural keyword usage
""",
'service_generation': """You are a service page content specialist. Generate comprehensive service page content that explains services, benefits, process, and pricing.
INPUT:
Service Name: [IGNY8_SERVICE_NAME]
Service Description: [IGNY8_SERVICE_DESCRIPTION]
Service Benefits: [IGNY8_SERVICE_BENEFITS]
Target Audience: [IGNY8_TARGET_AUDIENCE]
Primary Keyword: [IGNY8_PRIMARY_KEYWORD]
OUTPUT FORMAT:
Return ONLY a JSON object in this format:
{
"title": "[Service name and value proposition]",
"meta_title": "[SEO-optimized meta title, 30-60 chars]",
"meta_description": "[Compelling meta description, 120-160 chars]",
"html_content": "[Complete HTML service page content]",
"word_count": [Integer word count],
"primary_keyword": "[Primary keyword]",
"secondary_keywords": ["keyword1", "keyword2", "keyword3"],
"tags": ["tag1", "tag2", "tag3"],
"categories": ["Category > Subcategory"],
"json_blocks": [
{
"type": "service_overview",
"heading": "Service Overview",
"content": "Detailed service description"
},
{
"type": "benefits",
"heading": "Benefits",
"items": ["Benefit 1", "Benefit 2", "Benefit 3"]
},
{
"type": "process",
"heading": "Our Process",
"steps": ["Step 1", "Step 2", "Step 3"]
},
{
"type": "pricing",
"heading": "Pricing",
"content": "Pricing information"
},
{
"type": "faq",
"heading": "Frequently Asked Questions",
"items": [{"question": "Q1", "answer": "A1"}]
}
],
"structure_data": {
"service_type": "[Service type]",
"duration": "[Service duration]",
"target_market": "[Target market]"
}
}
CONTENT REQUIREMENTS:
- Clear service overview and value proposition
- Detailed benefits and outcomes
- Step-by-step process explanation
- Pricing information (if available)
- FAQ section addressing common questions
- Include testimonials or case studies (if applicable)
- Use SEO-optimized headings
- Include call-to-action sections
""",
'generate_page_content': """You are a Site Builder content specialist. Generate structured page content optimized for website pages with JSON blocks format.
Your task is to generate content that will be rendered as a modern website page with structured blocks (hero, features, testimonials, text, CTA, etc.).
INPUT DATA:
----------
Page Title: [IGNY8_PAGE_TITLE]
Page Slug: [IGNY8_PAGE_SLUG]
Page Type: [IGNY8_PAGE_TYPE] (home, products, blog, contact, about, services, custom)
Site Name: [IGNY8_SITE_NAME]
Site Description: [IGNY8_SITE_DESCRIPTION]
Existing Block Hints: [IGNY8_EXISTING_BLOCKS]
Structure Hints: [IGNY8_STRUCTURE_HINTS]
OUTPUT FORMAT:
--------------
Return ONLY a JSON object in this exact structure:
{
"title": "[Page title - SEO optimized, natural]",
"html_content": "[Full HTML content for fallback/SEO - complete article]",
"word_count": [Integer - word count of HTML content],
"blocks": [
{
"type": "hero",
"data": {
"heading": "[Compelling hero headline]",
"subheading": "[Supporting subheadline]",
"content": "[Brief hero description - 1-2 sentences]",
"buttonText": "[CTA button text]",
"buttonLink": "[CTA link URL]"
}
},
{
"type": "text",
"data": {
"heading": "[Section heading]",
"content": "[Rich text content with paragraphs, lists, etc.]"
}
},
{
"type": "features",
"data": {
"heading": "[Features section heading]",
"content": [
"[Feature 1: Description]",
"[Feature 2: Description]",
"[Feature 3: Description]"
]
}
},
{
"type": "testimonials",
"data": {
"heading": "[Testimonials heading]",
"subheading": "[Optional subheading]",
"content": [
"[Testimonial quote 1]",
"[Testimonial quote 2]",
"[Testimonial quote 3]"
]
}
},
{
"type": "cta",
"data": {
"heading": "[CTA heading]",
"subheading": "[CTA subheading]",
"content": "[CTA description]",
"buttonText": "[Button text]",
"buttonLink": "[Button link]"
}
}
]
}
BLOCK TYPE GUIDELINES:
----------------------
Based on page type, use appropriate blocks:
**Home Page:**
- Start with "hero" block (compelling headline + CTA)
- Follow with "features" or "text" blocks
- Include "testimonials" block
- End with "cta" block
**Products Page:**
- Start with "text" block (product overview)
- Use "features" or "grid" blocks for product listings
- Include "text" blocks for product details
**Blog Page:**
- Use "text" blocks for article content
- Can include "quote" blocks for highlights
- Structure as readable article format
**Contact Page:**
- Start with "text" block (contact info)
- Use "form" block structure hints
- Include "text" blocks for location/hours
**About Page:**
- Start with "hero" or "text" block
- Use "features" for team/values
- Include "stats" block if applicable
- End with "text" block
**Services Page:**
- Start with "text" block (service overview)
- Use "features" for service offerings
- Include "text" blocks for details
CONTENT REQUIREMENTS:
---------------------
1. **Hero Block** (for home/about pages):
- Compelling headline (8-12 words)
- Clear value proposition
- Strong CTA button
2. **Text Blocks**:
- Natural, engaging copy
- SEO-optimized headings
- Varied content (paragraphs, lists, emphasis)
3. **Features Blocks**:
- 3-6 features
- Clear benefit statements
- Action-oriented language
4. **Testimonials Blocks**:
- 3-5 authentic-sounding testimonials
- Specific, believable quotes
- Varied lengths
5. **CTA Blocks**:
- Clear value proposition
- Strong action words
- Compelling button text
6. **HTML Content** (for SEO):
- Complete article version of all blocks
- Proper HTML structure
- SEO-optimized with headings, paragraphs, lists
- 800-1500 words total
TONE & STYLE:
-------------
- Professional but approachable
- Clear and concise
- Benefit-focused
- Action-oriented
- Natural keyword usage (not forced)
- No generic phrases or placeholder text
IMPORTANT:
----------
- Return ONLY the JSON object
- Do NOT include markdown formatting
- Do NOT include explanations or comments
- Ensure all blocks have proper "type" and "data" structure
- HTML content should be complete and standalone
- Blocks should be optimized for the specific page type""",
'taxonomy_generation': """You are a taxonomy and categorization specialist. Generate comprehensive taxonomy page content that organizes and explains categories, tags, and hierarchical structures.
INPUT:
Taxonomy Name: [IGNY8_TAXONOMY_NAME]
Taxonomy Description: [IGNY8_TAXONOMY_DESCRIPTION]
Taxonomy Items: [IGNY8_TAXONOMY_ITEMS]
Primary Keyword: [IGNY8_PRIMARY_KEYWORD]
OUTPUT FORMAT:
Return ONLY a JSON object in this format:
{
"title": "[Taxonomy name and purpose]",
"meta_title": "[SEO-optimized meta title, 30-60 chars]",
"meta_description": "[Compelling meta description, 120-160 chars]",
"html_content": "[Complete HTML taxonomy page content]",
"word_count": [Integer word count],
"primary_keyword": "[Primary keyword]",
"secondary_keywords": ["keyword1", "keyword2", "keyword3"],
"tags": ["tag1", "tag2", "tag3"],
"categories": ["Category > Subcategory"],
"json_blocks": [
{
"type": "taxonomy_overview",
"heading": "Taxonomy Overview",
"content": "Detailed taxonomy description"
},
{
"type": "categories",
"heading": "Categories",
"items": [
{
"name": "Category 1",
"description": "Category description",
"subcategories": ["Subcat 1", "Subcat 2"]
}
]
},
{
"type": "tags",
"heading": "Tags",
"items": ["Tag 1", "Tag 2", "Tag 3"]
},
{
"type": "hierarchy",
"heading": "Taxonomy Hierarchy",
"structure": {"Level 1": {"Level 2": ["Level 3"]}}
}
],
"structure_data": {
"taxonomy_type": "[Taxonomy type]",
"item_count": [Integer],
"hierarchy_levels": [Integer]
}
}
CONTENT REQUIREMENTS:
- Clear taxonomy overview and purpose
- Organized category structure
- Tag organization and relationships
- Hierarchical structure visualization
- SEO-optimized headings
- Include navigation and organization benefits
- Use clear, descriptive language
""",
}
# Mapping from function names to prompt types
@@ -275,6 +780,13 @@ Make sure each prompt is detailed enough for image generation, describing the vi
'generate_images': 'image_prompt_extraction',
'extract_image_prompts': 'image_prompt_extraction',
'generate_image_prompts': 'image_prompt_extraction',
'generate_site_structure': 'site_structure_generation',
'generate_page_content': 'generate_page_content', # Site Builder specific
'optimize_content': 'optimize_content',
# Phase 8: Universal Content Types
'generate_product_content': 'product_generation',
'generate_service_page': 'service_generation',
'generate_taxonomy': 'taxonomy_generation',
}
@classmethod

View File

@@ -94,9 +94,21 @@ def _load_generate_image_prompts():
from igny8_core.ai.functions.generate_image_prompts import GenerateImagePromptsFunction
return GenerateImagePromptsFunction
def _load_generate_site_structure():
"""Lazy loader for generate_site_structure function"""
from igny8_core.ai.functions.generate_site_structure import GenerateSiteStructureFunction
return GenerateSiteStructureFunction
def _load_optimize_content():
"""Lazy loader for optimize_content function"""
from igny8_core.ai.functions.optimize_content import OptimizeContentFunction
return OptimizeContentFunction
register_lazy_function('auto_cluster', _load_auto_cluster)
register_lazy_function('generate_ideas', _load_generate_ideas)
register_lazy_function('generate_content', _load_generate_content)
register_lazy_function('generate_images', _load_generate_images)
register_lazy_function('generate_image_prompts', _load_generate_image_prompts)
register_lazy_function('generate_site_structure', _load_generate_site_structure)
register_lazy_function('optimize_content', _load_optimize_content)

View File

@@ -0,0 +1,86 @@
from __future__ import annotations
from igny8_core.ai.functions.generate_site_structure import GenerateSiteStructureFunction
from igny8_core.business.site_building.models import PageBlueprint
from igny8_core.business.site_building.tests.base import SiteBuilderTestBase
class GenerateSiteStructureFunctionTests(SiteBuilderTestBase):
"""Covers parsing + persistence logic for the Site Builder AI function."""
def setUp(self):
super().setUp()
self.function = GenerateSiteStructureFunction()
def test_parse_response_extracts_json_object(self):
noisy_response = """
Thoughts about the request…
{
"site": {"name": "Acme Robotics"},
"pages": [{"slug": "home", "title": "Home"}]
}
Extra commentary that should be ignored.
"""
parsed = self.function.parse_response(noisy_response)
self.assertEqual(parsed['site']['name'], 'Acme Robotics')
self.assertEqual(parsed['pages'][0]['slug'], 'home')
def test_save_output_updates_structure_and_syncs_pages(self):
# Existing page to prove update/delete flows.
legacy_page = PageBlueprint.objects.create(
site_blueprint=self.blueprint,
slug='legacy',
title='Legacy Page',
type='custom',
blocks_json=[],
order=5,
)
parsed = {
'site': {'name': 'Future Robotics'},
'pages': [
{
'slug': 'home',
'title': 'Homepage',
'type': 'home',
'status': 'ready',
'blocks': [{'type': 'hero', 'heading': 'Build faster'}],
},
{
'slug': 'about',
'title': 'About Us',
'type': 'about',
'blocks': [],
},
],
}
result = self.function.save_output(parsed, {'blueprint': self.blueprint})
self.blueprint.refresh_from_db()
self.assertEqual(self.blueprint.status, 'ready')
self.assertEqual(self.blueprint.structure_json['site']['name'], 'Future Robotics')
self.assertEqual(result['pages_created'], 1)
self.assertEqual(result['pages_updated'], 1)
self.assertEqual(result['pages_deleted'], 1)
slugs = set(self.blueprint.pages.values_list('slug', flat=True))
self.assertIn('home', slugs)
self.assertIn('about', slugs)
self.assertNotIn(legacy_page.slug, slugs)
def test_build_prompt_includes_existing_pages(self):
# Convert structure to JSON to ensure template rendering stays stable.
data = self.function.prepare(
payload={'ids': [self.blueprint.id]},
account=self.account,
)
prompt = self.function.build_prompt(data, account=self.account)
self.assertIn(self.blueprint.name, prompt)
self.assertIn('Home', prompt)
# The prompt should mention hosting type and objectives in JSON context.
self.assertIn(self.blueprint.hosting_type, prompt)
for objective in self.blueprint.config_json.get('objectives', []):
self.assertIn(objective, prompt)

View File

@@ -1,116 +0,0 @@
"""
Test script for AI functions
Run this to verify all AI functions work with console logging
"""
import os
import sys
import django
# Setup Django
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../../../'))
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8.settings')
django.setup()
from igny8_core.ai.functions.auto_cluster import AutoClusterFunction
from igny8_core.ai.functions.generate_images import generate_images_core
from igny8_core.ai.ai_core import AICore
def test_ai_core():
"""Test AICore.run_ai_request() directly"""
print("\n" + "="*80)
print("TEST 1: AICore.run_ai_request() - Direct API Call")
print("="*80)
ai_core = AICore()
result = ai_core.run_ai_request(
prompt="Say 'Hello, World!' in JSON format: {\"message\": \"your message\"}",
max_tokens=100,
function_name='test_ai_core'
)
if result.get('error'):
print(f"❌ Error: {result['error']}")
else:
print(f"✅ Success! Content: {result.get('content', '')[:100]}")
print(f" Tokens: {result.get('total_tokens')}, Cost: ${result.get('cost', 0):.6f}")
def test_auto_cluster():
"""Test auto cluster function"""
print("\n" + "="*80)
print("TEST 2: Auto Cluster Function")
print("="*80)
print("Note: This requires actual keyword IDs in the database")
print("Skipping - requires database setup")
# Uncomment to test with real data:
# fn = AutoClusterFunction()
# result = fn.validate({'ids': [1, 2, 3]})
# print(f"Validation result: {result}")
def test_generate_content():
"""Test generate content function"""
print("\n" + "="*80)
print("TEST 3: Generate Content Function")
print("="*80)
print("Note: This requires actual task IDs in the database")
print("Skipping - requires database setup")
def test_generate_images():
"""Test generate images function"""
print("\n" + "="*80)
print("TEST 4: Generate Images Function")
print("="*80)
print("Note: This requires actual task IDs in the database")
print("Skipping - requires database setup")
# Uncomment to test with real data:
# result = generate_images_core(task_ids=[1], account_id=1)
# print(f"Result: {result}")
def test_json_extraction():
"""Test JSON extraction"""
print("\n" + "="*80)
print("TEST 5: JSON Extraction")
print("="*80)
ai_core = AICore()
# Test 1: Direct JSON
json_text = '{"clusters": [{"name": "Test", "keywords": ["test"]}]}'
result = ai_core.extract_json(json_text)
print(f"✅ Direct JSON: {result is not None}")
# Test 2: JSON in markdown
json_markdown = '```json\n{"clusters": [{"name": "Test"}]}\n```'
result = ai_core.extract_json(json_markdown)
print(f"✅ JSON in markdown: {result is not None}")
# Test 3: Invalid JSON
invalid_json = "This is not JSON"
result = ai_core.extract_json(invalid_json)
print(f"✅ Invalid JSON handled: {result is None}")
if __name__ == '__main__':
print("\n" + "="*80)
print("AI FUNCTIONS TEST SUITE")
print("="*80)
print("Testing all AI functions with console logging enabled")
print("="*80)
# Run tests
test_ai_core()
test_json_extraction()
test_auto_cluster()
test_generate_content()
test_generate_images()
print("\n" + "="*80)
print("TEST SUITE COMPLETE")
print("="*80)
print("\nAll console logging should be visible above.")
print("Check for [AI][function_name] Step X: messages")

View File

@@ -67,16 +67,10 @@ class JWTAuthentication(BaseAuthentication):
try:
account = Account.objects.get(id=account_id)
except Account.DoesNotExist:
pass
if not account:
try:
account = getattr(user, 'account', None)
except (AttributeError, Exception):
# If account access fails, set to None
# Account from token doesn't exist - don't fallback, set to None
account = None
# Set account on request
# Set account on request (only if account_id was in token and account exists)
request.account = account
return (user, token)

View File

@@ -1,25 +0,0 @@
#!/usr/bin/env python
"""
Test runner script for API tests
Run all tests: python manage.py test igny8_core.api.tests
Run specific test: python manage.py test igny8_core.api.tests.test_response
"""
import os
import sys
import django
# Setup Django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8_core.settings')
django.setup()
from django.core.management import execute_from_command_line
if __name__ == '__main__':
# Run all API tests
if len(sys.argv) > 1:
# Custom test specified
execute_from_command_line(['manage.py', 'test'] + sys.argv[1:])
else:
# Run all API tests
execute_from_command_line(['manage.py', 'test', 'igny8_core.api.tests', '--verbosity=2'])

View File

@@ -28,11 +28,19 @@ class DebugScopedRateThrottle(ScopedRateThrottle):
- IGNY8_DEBUG_THROTTLE environment variable is True
- User belongs to aws-admin or other system accounts
- User is admin/developer role
- Public blueprint list request with site filter (for Sites Renderer)
"""
# Check if throttling should be bypassed
debug_bypass = getattr(settings, 'DEBUG', False)
env_bypass = getattr(settings, 'IGNY8_DEBUG_THROTTLE', False)
# Bypass for public blueprint list requests (Sites Renderer fallback)
public_blueprint_bypass = False
if hasattr(view, 'action') and view.action == 'list':
if hasattr(request, 'query_params') and request.query_params.get('site'):
if not request.user or not hasattr(request.user, 'is_authenticated') or not request.user.is_authenticated:
public_blueprint_bypass = True
# Bypass for system account users (aws-admin, default-account, etc.)
system_account_bypass = False
if hasattr(request, 'user') and request.user and hasattr(request.user, 'is_authenticated') and request.user.is_authenticated:
@@ -47,7 +55,7 @@ class DebugScopedRateThrottle(ScopedRateThrottle):
# If checking fails, continue with normal throttling
pass
if debug_bypass or env_bypass or system_account_bypass:
if debug_bypass or env_bypass or system_account_bypass or public_blueprint_bypass:
# In debug mode or for system accounts, still set throttle headers but don't actually throttle
# This allows testing throttle headers without blocking requests
if hasattr(self, 'get_rate'):

View File

@@ -8,7 +8,7 @@ from django.db.models import Q
from igny8_core.auth.models import Account, User, Site, Sector
from igny8_core.modules.planner.models import Keywords, Clusters, ContentIdeas
from igny8_core.modules.writer.models import Tasks, Images, Content
from igny8_core.modules.billing.models import CreditTransaction, CreditUsageLog
from igny8_core.business.billing.models import CreditTransaction, CreditUsageLog
from igny8_core.modules.system.models import AIPrompt, IntegrationSettings, AuthorProfile, Strategy
from igny8_core.modules.system.settings_models import AccountSettings, UserSettings, ModuleSettings, AISettings

View File

@@ -4,6 +4,7 @@ Extracts account from JWT token and injects into request context
"""
from django.utils.deprecation import MiddlewareMixin
from django.http import JsonResponse
from django.contrib.auth import logout
from rest_framework import status
try:
@@ -41,14 +42,19 @@ class AccountContextMiddleware(MiddlewareMixin):
request.user = user
# Get account from refreshed user
user_account = getattr(user, 'account', None)
if user_account:
request.account = user_account
return None
validation_error = self._validate_account_and_plan(request, user)
if validation_error:
return validation_error
request.account = getattr(user, 'account', None)
return None
except (AttributeError, UserModel.DoesNotExist, Exception):
# If refresh fails, fallback to cached account
try:
user_account = getattr(request.user, 'account', None)
if user_account:
validation_error = self._validate_account_and_plan(request, request.user)
if validation_error:
return validation_error
request.account = user_account
return None
except (AttributeError, Exception):
@@ -76,7 +82,6 @@ class AccountContextMiddleware(MiddlewareMixin):
if not JWT_AVAILABLE:
# JWT library not installed yet - skip for now
request.account = None
request.user = None
return None
# Decode JWT token with signature verification
@@ -94,42 +99,76 @@ class AccountContextMiddleware(MiddlewareMixin):
if user_id:
from .models import User, Account
try:
# Refresh user from DB with account and plan relationships to get latest data
# This ensures changes to account/plan are reflected immediately without re-login
# Get user from DB (but don't set request.user - let DRF authentication handle that)
# Only set request.account for account context
user = User.objects.select_related('account', 'account__plan').get(id=user_id)
request.user = user
validation_error = self._validate_account_and_plan(request, user)
if validation_error:
return validation_error
if account_id:
# Verify account still exists and matches user
account = Account.objects.get(id=account_id)
# If user's account changed, use the new one from user object
if user.account and user.account.id != account_id:
request.account = user.account
else:
request.account = account
else:
# Verify account still exists
try:
user_account = getattr(user, 'account', None)
if user_account:
request.account = user_account
else:
request.account = None
except (AttributeError, Exception):
# If account access fails (e.g., column mismatch), set to None
account = Account.objects.get(id=account_id)
request.account = account
except Account.DoesNotExist:
# Account from token doesn't exist - don't fallback, set to None
request.account = None
else:
# No account_id in token - set to None (don't fallback to user.account)
request.account = None
except (User.DoesNotExist, Account.DoesNotExist):
request.account = None
request.user = None
else:
request.account = None
request.user = None
except jwt.InvalidTokenError:
request.account = None
request.user = None
except Exception:
# Fail silently for now - allow unauthenticated access
request.account = None
request.user = None
return None
def _validate_account_and_plan(self, request, user):
"""
Ensure the authenticated user has an account and an active plan.
If not, logout the user (for session auth) and block the request.
"""
try:
account = getattr(user, 'account', None)
except Exception:
account = None
if not account:
return self._deny_request(
request,
error='Account not configured for this user. Please contact support.',
status_code=status.HTTP_403_FORBIDDEN,
)
plan = getattr(account, 'plan', None)
if plan is None or getattr(plan, 'is_active', False) is False:
return self._deny_request(
request,
error='Active subscription required. Visit igny8.com/pricing to subscribe.',
status_code=status.HTTP_402_PAYMENT_REQUIRED,
)
return None
def _deny_request(self, request, error, status_code):
"""Logout session users (if any) and return a consistent JSON error."""
try:
if hasattr(request, 'user') and request.user and request.user.is_authenticated:
logout(request)
except Exception:
pass
return JsonResponse(
{
'success': False,
'error': error,
},
status=status_code,
)

View File

@@ -0,0 +1,55 @@
# Generated manually for Phase 6: Site Model Extensions
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0014_remove_plan_operation_limits_phase0'),
]
operations = [
migrations.AddField(
model_name='site',
name='site_type',
field=models.CharField(
choices=[
('marketing', 'Marketing Site'),
('ecommerce', 'Ecommerce Site'),
('blog', 'Blog'),
('portfolio', 'Portfolio'),
('corporate', 'Corporate'),
],
db_index=True,
default='marketing',
help_text='Type of site',
max_length=50
),
),
migrations.AddField(
model_name='site',
name='hosting_type',
field=models.CharField(
choices=[
('igny8_sites', 'IGNY8 Sites'),
('wordpress', 'WordPress'),
('shopify', 'Shopify'),
('multi', 'Multi-Destination'),
],
db_index=True,
default='igny8_sites',
help_text='Target hosting platform',
max_length=50
),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['site_type'], name='igny8_sites_site_ty_123abc_idx'),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['hosting_type'], name='igny8_sites_hostin_456def_idx'),
),
]

View File

@@ -0,0 +1,23 @@
# Generated manually for Phase 7: Site SEO Metadata
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0015_add_site_type_hosting_type'),
]
operations = [
migrations.AddField(
model_name='site',
name='seo_metadata',
field=models.JSONField(
default=dict,
blank=True,
help_text='SEO metadata: meta tags, Open Graph, Schema.org'
),
),
]

View File

@@ -213,11 +213,50 @@ class Site(AccountBaseModel):
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
# WordPress integration fields
wp_url = models.URLField(blank=True, null=True, help_text="WordPress site URL")
# WordPress integration fields (legacy - use SiteIntegration instead)
wp_url = models.URLField(blank=True, null=True, help_text="WordPress site URL (legacy - use SiteIntegration)")
wp_username = models.CharField(max_length=255, blank=True, null=True)
wp_app_password = models.CharField(max_length=255, blank=True, null=True)
# Site type and hosting (Phase 6)
SITE_TYPE_CHOICES = [
('marketing', 'Marketing Site'),
('ecommerce', 'Ecommerce Site'),
('blog', 'Blog'),
('portfolio', 'Portfolio'),
('corporate', 'Corporate'),
]
HOSTING_TYPE_CHOICES = [
('igny8_sites', 'IGNY8 Sites'),
('wordpress', 'WordPress'),
('shopify', 'Shopify'),
('multi', 'Multi-Destination'),
]
site_type = models.CharField(
max_length=50,
choices=SITE_TYPE_CHOICES,
default='marketing',
db_index=True,
help_text="Type of site"
)
hosting_type = models.CharField(
max_length=50,
choices=HOSTING_TYPE_CHOICES,
default='igny8_sites',
db_index=True,
help_text="Target hosting platform"
)
# SEO metadata (Phase 7)
seo_metadata = models.JSONField(
default=dict,
blank=True,
help_text="SEO metadata: meta tags, Open Graph, Schema.org"
)
class Meta:
db_table = 'igny8_sites'
unique_together = [['account', 'slug']] # Slug unique per account
@@ -226,6 +265,8 @@ class Site(AccountBaseModel):
models.Index(fields=['account', 'is_active']),
models.Index(fields=['account', 'status']),
models.Index(fields=['industry']),
models.Index(fields=['site_type']),
models.Index(fields=['hosting_type']),
]
def __str__(self):

View File

@@ -69,6 +69,7 @@ class SiteSerializer(serializers.ModelSerializer):
'id', 'name', 'slug', 'domain', 'description',
'industry', 'industry_name', 'industry_slug',
'is_active', 'status', 'wp_url', 'wp_username',
'site_type', 'hosting_type', 'seo_metadata',
'sectors_count', 'active_sectors_count', 'selected_sectors',
'can_add_sectors',
'created_at', 'updated_at'

View File

@@ -478,16 +478,26 @@ class SiteViewSet(AccountModelViewSet):
def get_permissions(self):
"""Allow normal users (viewer) to create sites, but require editor+ for other operations."""
# Allow public read access for list requests with slug filter (used by Sites Renderer)
if self.action == 'list' and self.request.query_params.get('slug'):
from rest_framework.permissions import AllowAny
return [AllowAny()]
if self.action == 'create':
return [permissions.IsAuthenticated()]
return [IsEditorOrAbove()]
def get_queryset(self):
"""Return sites accessible to the current user."""
user = self.request.user
if not user or not user.is_authenticated:
# If this is a public request (no auth) with slug filter, return site by slug
if not self.request.user or not self.request.user.is_authenticated:
slug = self.request.query_params.get('slug')
if slug:
# Return queryset directly from model (bypassing base class account filtering)
return Site.objects.filter(slug=slug, is_active=True)
return Site.objects.none()
user = self.request.user
# ADMIN/DEV OVERRIDE: Both admins and developers can see all sites
if user.is_admin_or_developer():
return Site.objects.all().distinct()
@@ -916,13 +926,28 @@ class AuthViewSet(viewsets.GenericViewSet):
)
if user.check_password(password):
# Ensure user has an account
account = getattr(user, 'account', None)
if account is None:
return error_response(
error='Account not configured for this user. Please contact support.',
status_code=status.HTTP_403_FORBIDDEN,
request=request,
)
# Ensure account has an active plan
plan = getattr(account, 'plan', None)
if plan is None or getattr(plan, 'is_active', False) is False:
return error_response(
error='Active subscription required. Visit igny8.com/pricing to subscribe.',
status_code=status.HTTP_402_PAYMENT_REQUIRED,
request=request,
)
# Log the user in (create session for session authentication)
from django.contrib.auth import login
login(request, user)
# Get account from user
account = getattr(user, 'account', None)
# Generate JWT tokens
access_token = generate_access_token(user, account)
refresh_token = generate_refresh_token(user, account)

View File

@@ -0,0 +1,5 @@
"""
Business logic layer - Models and Services
Separated from API layer (modules/) for clean architecture
"""

View File

@@ -0,0 +1,4 @@
"""
Automation business logic - AutomationRule, ScheduledTask models and services
"""

View File

@@ -0,0 +1,100 @@
# Generated manually for Phase 2: Automation System
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('igny8_core_auth', '0008_passwordresettoken_alter_industry_options_and_more'),
]
operations = [
migrations.CreateModel(
name='AutomationRule',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_at', models.DateTimeField(auto_now_add=True, db_index=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('name', models.CharField(help_text='Rule name', max_length=255)),
('description', models.TextField(blank=True, help_text='Rule description', null=True)),
('trigger', models.CharField(choices=[('schedule', 'Schedule'), ('event', 'Event'), ('manual', 'Manual')], default='manual', max_length=50)),
('schedule', models.CharField(blank=True, help_text="Cron-like schedule string (e.g., '0 0 * * *' for daily at midnight)", max_length=100, null=True)),
('conditions', models.JSONField(default=list, help_text='List of conditions that must be met for rule to execute')),
('actions', models.JSONField(default=list, help_text='List of actions to execute when rule triggers')),
('is_active', models.BooleanField(default=True, help_text='Whether rule is active')),
('status', models.CharField(choices=[('active', 'Active'), ('inactive', 'Inactive'), ('paused', 'Paused')], default='active', max_length=50)),
('last_executed_at', models.DateTimeField(blank=True, null=True)),
('execution_count', models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0)])),
('metadata', models.JSONField(default=dict, help_text='Additional metadata')),
('account', models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.account')),
('site', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='igny8_core_auth.site')),
('sector', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='igny8_core_auth.sector')),
],
options={
'db_table': 'igny8_automation_rules',
'ordering': ['-created_at'],
'verbose_name': 'Automation Rule',
'verbose_name_plural': 'Automation Rules',
},
),
migrations.CreateModel(
name='ScheduledTask',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_at', models.DateTimeField(auto_now_add=True, db_index=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('scheduled_at', models.DateTimeField(help_text='When the task is scheduled to run')),
('executed_at', models.DateTimeField(blank=True, help_text='When the task was actually executed', null=True)),
('status', models.CharField(choices=[('pending', 'Pending'), ('running', 'Running'), ('completed', 'Completed'), ('failed', 'Failed'), ('cancelled', 'Cancelled')], default='pending', max_length=50)),
('result', models.JSONField(default=dict, help_text='Execution result data')),
('error_message', models.TextField(blank=True, help_text='Error message if execution failed', null=True)),
('metadata', models.JSONField(default=dict, help_text='Additional metadata')),
('account', models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.account')),
('automation_rule', models.ForeignKey(help_text='The automation rule this task belongs to', on_delete=django.db.models.deletion.CASCADE, related_name='scheduled_tasks', to='automation.automationrule')),
],
options={
'db_table': 'igny8_scheduled_tasks',
'ordering': ['-scheduled_at'],
'verbose_name': 'Scheduled Task',
'verbose_name_plural': 'Scheduled Tasks',
},
),
migrations.AddIndex(
model_name='automationrule',
index=models.Index(fields=['trigger', 'is_active'], name='igny8_autom_trigger_123abc_idx'),
),
migrations.AddIndex(
model_name='automationrule',
index=models.Index(fields=['status'], name='igny8_autom_status_456def_idx'),
),
migrations.AddIndex(
model_name='automationrule',
index=models.Index(fields=['site', 'sector'], name='igny8_autom_site_id_789ghi_idx'),
),
migrations.AddIndex(
model_name='automationrule',
index=models.Index(fields=['trigger', 'is_active', 'status'], name='igny8_autom_trigger_0abjkl_idx'),
),
migrations.AddIndex(
model_name='scheduledtask',
index=models.Index(fields=['automation_rule', 'status'], name='igny8_sched_automation_123abc_idx'),
),
migrations.AddIndex(
model_name='scheduledtask',
index=models.Index(fields=['scheduled_at', 'status'], name='igny8_sched_scheduled_456def_idx'),
),
migrations.AddIndex(
model_name='scheduledtask',
index=models.Index(fields=['account', 'status'], name='igny8_sched_account_789ghi_idx'),
),
migrations.AddIndex(
model_name='scheduledtask',
index=models.Index(fields=['status', 'scheduled_at'], name='igny8_sched_status_0abjkl_idx'),
),
]

View File

@@ -0,0 +1,143 @@
"""
Automation Models
Phase 2: Automation System
"""
from django.db import models
from django.core.validators import MinValueValidator
from igny8_core.auth.models import SiteSectorBaseModel, AccountBaseModel
import json
class AutomationRule(SiteSectorBaseModel):
"""
Automation Rule model for defining automated workflows.
Rules can be triggered by:
- schedule: Time-based triggers (cron-like)
- event: Event-based triggers (content created, keyword added, etc.)
- manual: Manual execution only
"""
TRIGGER_CHOICES = [
('schedule', 'Schedule'),
('event', 'Event'),
('manual', 'Manual'),
]
STATUS_CHOICES = [
('active', 'Active'),
('inactive', 'Inactive'),
('paused', 'Paused'),
]
name = models.CharField(max_length=255, help_text="Rule name")
description = models.TextField(blank=True, null=True, help_text="Rule description")
# Trigger configuration
trigger = models.CharField(max_length=50, choices=TRIGGER_CHOICES, default='manual')
# Schedule configuration (for schedule triggers)
# Stored as cron-like string: "0 0 * * *" (daily at midnight)
schedule = models.CharField(
max_length=100,
blank=True,
null=True,
help_text="Cron-like schedule string (e.g., '0 0 * * *' for daily at midnight)"
)
# Conditions (JSON field)
# Format: [{"field": "content.status", "operator": "equals", "value": "draft"}, ...]
conditions = models.JSONField(
default=list,
help_text="List of conditions that must be met for rule to execute"
)
# Actions (JSON field)
# Format: [{"type": "generate_content", "params": {...}}, ...]
actions = models.JSONField(
default=list,
help_text="List of actions to execute when rule triggers"
)
# Status
is_active = models.BooleanField(default=True, help_text="Whether rule is active")
status = models.CharField(max_length=50, choices=STATUS_CHOICES, default='active')
# Execution tracking
last_executed_at = models.DateTimeField(null=True, blank=True)
execution_count = models.IntegerField(default=0, validators=[MinValueValidator(0)])
# Metadata
metadata = models.JSONField(default=dict, help_text="Additional metadata")
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'automation'
db_table = 'igny8_automation_rules'
ordering = ['-created_at']
verbose_name = 'Automation Rule'
verbose_name_plural = 'Automation Rules'
indexes = [
models.Index(fields=['trigger', 'is_active']),
models.Index(fields=['status']),
models.Index(fields=['site', 'sector']),
models.Index(fields=['trigger', 'is_active', 'status']),
]
def __str__(self):
return f"{self.name} ({self.get_trigger_display()})"
class ScheduledTask(AccountBaseModel):
"""
Scheduled Task model for tracking scheduled automation rule executions.
"""
STATUS_CHOICES = [
('pending', 'Pending'),
('running', 'Running'),
('completed', 'Completed'),
('failed', 'Failed'),
('cancelled', 'Cancelled'),
]
automation_rule = models.ForeignKey(
AutomationRule,
on_delete=models.CASCADE,
related_name='scheduled_tasks',
help_text="The automation rule this task belongs to"
)
scheduled_at = models.DateTimeField(help_text="When the task is scheduled to run")
executed_at = models.DateTimeField(null=True, blank=True, help_text="When the task was actually executed")
status = models.CharField(max_length=50, choices=STATUS_CHOICES, default='pending')
# Execution results
result = models.JSONField(default=dict, help_text="Execution result data")
error_message = models.TextField(blank=True, null=True, help_text="Error message if execution failed")
# Metadata
metadata = models.JSONField(default=dict, help_text="Additional metadata")
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'automation'
db_table = 'igny8_scheduled_tasks'
ordering = ['-scheduled_at']
verbose_name = 'Scheduled Task'
verbose_name_plural = 'Scheduled Tasks'
indexes = [
models.Index(fields=['automation_rule', 'status']),
models.Index(fields=['scheduled_at', 'status']),
models.Index(fields=['account', 'status']),
models.Index(fields=['status', 'scheduled_at']),
]
def __str__(self):
return f"Scheduled task for {self.automation_rule.name} at {self.scheduled_at}"

View File

@@ -0,0 +1,4 @@
"""
Automation services
"""

View File

@@ -0,0 +1,101 @@
"""
Action Executor
Executes rule actions
"""
import logging
from igny8_core.business.planning.services.clustering_service import ClusteringService
from igny8_core.business.planning.services.ideas_service import IdeasService
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
logger = logging.getLogger(__name__)
class ActionExecutor:
"""Executes rule actions"""
def __init__(self):
self.clustering_service = ClusteringService()
self.ideas_service = IdeasService()
self.content_service = ContentGenerationService()
def execute(self, action, context, rule):
"""
Execute a single action.
Args:
action: Action dict with 'type' and 'params'
context: Context dict
rule: AutomationRule instance
Returns:
dict: Action execution result
"""
action_type = action.get('type')
params = action.get('params', {})
if action_type == 'cluster_keywords':
return self._execute_cluster_keywords(params, rule)
elif action_type == 'generate_ideas':
return self._execute_generate_ideas(params, rule)
elif action_type == 'generate_content':
return self._execute_generate_content(params, rule)
else:
logger.warning(f"Unknown action type: {action_type}")
return {
'success': False,
'error': f'Unknown action type: {action_type}'
}
def _execute_cluster_keywords(self, params, rule):
"""Execute cluster keywords action"""
keyword_ids = params.get('keyword_ids', [])
sector_id = params.get('sector_id') or (rule.sector.id if rule.sector else None)
try:
result = self.clustering_service.cluster_keywords(
keyword_ids=keyword_ids,
account=rule.account,
sector_id=sector_id
)
return result
except Exception as e:
logger.error(f"Error clustering keywords: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}
def _execute_generate_ideas(self, params, rule):
"""Execute generate ideas action"""
cluster_ids = params.get('cluster_ids', [])
try:
result = self.ideas_service.generate_ideas(
cluster_ids=cluster_ids,
account=rule.account
)
return result
except Exception as e:
logger.error(f"Error generating ideas: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}
def _execute_generate_content(self, params, rule):
"""Execute generate content action"""
task_ids = params.get('task_ids', [])
try:
result = self.content_service.generate_content(
task_ids=task_ids,
account=rule.account
)
return result
except Exception as e:
logger.error(f"Error generating content: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}

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"""
Automation Service
Main service for executing automation rules
"""
import logging
from django.utils import timezone
from igny8_core.business.automation.models import AutomationRule, ScheduledTask
from igny8_core.business.automation.services.rule_engine import RuleEngine
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
logger = logging.getLogger(__name__)
class AutomationService:
"""Service for executing automation rules"""
def __init__(self):
self.rule_engine = RuleEngine()
self.credit_service = CreditService()
def execute_rule(self, rule, context=None):
"""
Execute an automation rule.
Args:
rule: AutomationRule instance
context: Optional context dict for condition evaluation
Returns:
dict: Execution result with status and data
"""
if not rule.is_active or rule.status != 'active':
return {
'status': 'skipped',
'reason': 'Rule is inactive',
'rule_id': rule.id
}
# Check credits (estimate based on actions)
estimated_credits = self._estimate_credits(rule)
try:
self.credit_service.check_credits_legacy(rule.account, estimated_credits)
except InsufficientCreditsError as e:
logger.warning(f"Rule {rule.id} skipped: {str(e)}")
return {
'status': 'skipped',
'reason': f'Insufficient credits: {str(e)}',
'rule_id': rule.id
}
# Execute via rule engine
try:
result = self.rule_engine.execute(rule, context or {})
# Update rule tracking
rule.last_executed_at = timezone.now()
rule.execution_count += 1
rule.save(update_fields=['last_executed_at', 'execution_count'])
return {
'status': 'completed',
'rule_id': rule.id,
'result': result
}
except Exception as e:
logger.error(f"Error executing rule {rule.id}: {str(e)}", exc_info=True)
return {
'status': 'failed',
'reason': str(e),
'rule_id': rule.id
}
def _estimate_credits(self, rule):
"""Estimate credits needed for rule execution"""
# Simple estimation based on action types
estimated = 0
for action in rule.actions:
action_type = action.get('type', '')
if 'cluster' in action_type:
estimated += 10
elif 'idea' in action_type:
estimated += 15
elif 'content' in action_type:
estimated += 50 # Conservative estimate
else:
estimated += 5 # Default
return max(estimated, 10) # Minimum 10 credits
def execute_scheduled_rules(self):
"""
Execute all scheduled rules that are due.
Called by Celery Beat task.
Returns:
dict: Summary of executions
"""
from django.utils import timezone
now = timezone.now()
# Get active scheduled rules
rules = AutomationRule.objects.filter(
trigger='schedule',
is_active=True,
status='active'
)
executed = 0
skipped = 0
failed = 0
for rule in rules:
# Check if rule should execute based on schedule
if self._should_execute_schedule(rule, now):
result = self.execute_rule(rule)
if result['status'] == 'completed':
executed += 1
elif result['status'] == 'skipped':
skipped += 1
else:
failed += 1
return {
'executed': executed,
'skipped': skipped,
'failed': failed,
'total': len(rules)
}
def _should_execute_schedule(self, rule, now):
"""
Check if a scheduled rule should execute now.
Simple implementation - can be enhanced with proper cron parsing.
"""
if not rule.schedule:
return False
# For now, simple check - can be enhanced with cron parser
# This is a placeholder - proper implementation would parse cron string
return True # Simplified for now

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"""
Condition Evaluator
Evaluates rule conditions
"""
import logging
logger = logging.getLogger(__name__)
class ConditionEvaluator:
"""Evaluates rule conditions"""
OPERATORS = {
'equals': lambda a, b: a == b,
'not_equals': lambda a, b: a != b,
'greater_than': lambda a, b: a > b,
'greater_than_or_equal': lambda a, b: a >= b,
'less_than': lambda a, b: a < b,
'less_than_or_equal': lambda a, b: a <= b,
'in': lambda a, b: a in b,
'contains': lambda a, b: b in a if isinstance(a, str) else a in b,
'is_empty': lambda a, b: not a or (isinstance(a, str) and not a.strip()),
'is_not_empty': lambda a, b: a and (not isinstance(a, str) or a.strip()),
}
def evaluate(self, conditions, context):
"""
Evaluate a list of conditions.
Args:
conditions: List of condition dicts
context: Context dict for field resolution
Returns:
bool: True if all conditions are met
"""
if not conditions:
return True
for condition in conditions:
if not self._evaluate_condition(condition, context):
return False
return True
def _evaluate_condition(self, condition, context):
"""
Evaluate a single condition.
Condition format:
{
"field": "content.status",
"operator": "equals",
"value": "draft"
}
"""
field_path = condition.get('field')
operator = condition.get('operator', 'equals')
expected_value = condition.get('value')
if not field_path:
logger.warning("Condition missing 'field'")
return False
# Resolve field value from context
actual_value = self._resolve_field(field_path, context)
# Get operator function
op_func = self.OPERATORS.get(operator)
if not op_func:
logger.warning(f"Unknown operator: {operator}")
return False
# Evaluate
try:
return op_func(actual_value, expected_value)
except Exception as e:
logger.error(f"Error evaluating condition: {str(e)}", exc_info=True)
return False
def _resolve_field(self, field_path, context):
"""
Resolve a field path from context.
Examples:
- "content.status" -> context['content']['status']
- "count" -> context['count']
"""
parts = field_path.split('.')
value = context
for part in parts:
if isinstance(value, dict):
value = value.get(part)
elif hasattr(value, part):
value = getattr(value, part)
else:
return None
if value is None:
return None
return value

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"""
Rule Engine
Orchestrates rule execution
"""
import logging
from igny8_core.business.automation.services.condition_evaluator import ConditionEvaluator
from igny8_core.business.automation.services.action_executor import ActionExecutor
logger = logging.getLogger(__name__)
class RuleEngine:
"""Orchestrates rule execution"""
def __init__(self):
self.condition_evaluator = ConditionEvaluator()
self.action_executor = ActionExecutor()
def execute(self, rule, context):
"""
Execute a rule by evaluating conditions and executing actions.
Args:
rule: AutomationRule instance
context: Context dict for evaluation
Returns:
dict: Execution results
"""
# Evaluate conditions
if rule.conditions:
conditions_met = self.condition_evaluator.evaluate(rule.conditions, context)
if not conditions_met:
return {
'success': False,
'reason': 'Conditions not met'
}
# Execute actions
action_results = []
for action in rule.actions:
try:
result = self.action_executor.execute(action, context, rule)
action_results.append({
'action': action,
'success': True,
'result': result
})
except Exception as e:
logger.error(f"Action execution failed: {str(e)}", exc_info=True)
action_results.append({
'action': action,
'success': False,
'error': str(e)
})
return {
'success': True,
'actions': action_results
}

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"""
Automation Celery Tasks
"""
from celery import shared_task
import logging
from igny8_core.business.automation.services.automation_service import AutomationService
logger = logging.getLogger(__name__)
@shared_task(name='igny8_core.business.automation.tasks.execute_scheduled_automation_rules')
def execute_scheduled_automation_rules():
"""
Execute all scheduled automation rules.
Called by Celery Beat.
"""
try:
service = AutomationService()
result = service.execute_scheduled_rules()
logger.info(f"Executed scheduled automation rules: {result}")
return result
except Exception as e:
logger.error(f"Error executing scheduled automation rules: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}

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"""
Billing business logic - CreditTransaction, CreditUsageLog models and services
"""

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"""
Credit Cost Constants
Phase 0: Credit-only system costs per operation
"""
CREDIT_COSTS = {
'clustering': 10, # Per clustering request
'idea_generation': 15, # Per cluster → ideas request
'content_generation': 1, # Per 100 words
'image_prompt_extraction': 2, # Per content piece
'image_generation': 5, # Per image
'linking': 8, # Per content piece (NEW)
'optimization': 1, # Per 200 words (NEW)
'site_structure_generation': 50, # Per site blueprint (NEW)
'site_page_generation': 20, # Per page (NEW)
# Legacy operation types (for backward compatibility)
'ideas': 15, # Alias for idea_generation
'content': 3, # Legacy: 3 credits per content piece
'images': 5, # Alias for image_generation
'reparse': 1, # Per reparse
}

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"""
Billing Exceptions
"""
class InsufficientCreditsError(Exception):
"""Raised when account doesn't have enough credits"""
pass
class CreditCalculationError(Exception):
"""Raised when credit calculation fails"""
pass

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"""
Billing Models for Credit System
"""
from django.db import models
from django.core.validators import MinValueValidator
from igny8_core.auth.models import AccountBaseModel
class CreditTransaction(AccountBaseModel):
"""Track all credit transactions (additions, deductions)"""
TRANSACTION_TYPE_CHOICES = [
('purchase', 'Purchase'),
('subscription', 'Subscription Renewal'),
('refund', 'Refund'),
('deduction', 'Usage Deduction'),
('adjustment', 'Manual Adjustment'),
]
transaction_type = models.CharField(max_length=20, choices=TRANSACTION_TYPE_CHOICES, db_index=True)
amount = models.IntegerField(help_text="Positive for additions, negative for deductions")
balance_after = models.IntegerField(help_text="Credit balance after this transaction")
description = models.CharField(max_length=255)
metadata = models.JSONField(default=dict, help_text="Additional context (AI call details, etc.)")
created_at = models.DateTimeField(auto_now_add=True)
class Meta:
app_label = 'billing'
db_table = 'igny8_credit_transactions'
ordering = ['-created_at']
indexes = [
models.Index(fields=['account', 'transaction_type']),
models.Index(fields=['account', 'created_at']),
]
def __str__(self):
account = getattr(self, 'account', None)
return f"{self.get_transaction_type_display()} - {self.amount} credits - {account.name if account else 'No Account'}"
class CreditUsageLog(AccountBaseModel):
"""Detailed log of credit usage per AI operation"""
OPERATION_TYPE_CHOICES = [
('clustering', 'Keyword Clustering'),
('idea_generation', 'Content Ideas Generation'),
('content_generation', 'Content Generation'),
('image_generation', 'Image Generation'),
('reparse', 'Content Reparse'),
('ideas', 'Content Ideas Generation'), # Legacy
('content', 'Content Generation'), # Legacy
('images', 'Image Generation'), # Legacy
]
operation_type = models.CharField(max_length=50, choices=OPERATION_TYPE_CHOICES, db_index=True)
credits_used = models.IntegerField(validators=[MinValueValidator(0)])
cost_usd = models.DecimalField(max_digits=10, decimal_places=4, null=True, blank=True)
model_used = models.CharField(max_length=100, blank=True)
tokens_input = models.IntegerField(null=True, blank=True, validators=[MinValueValidator(0)])
tokens_output = models.IntegerField(null=True, blank=True, validators=[MinValueValidator(0)])
related_object_type = models.CharField(max_length=50, blank=True) # 'keyword', 'cluster', 'task'
related_object_id = models.IntegerField(null=True, blank=True)
metadata = models.JSONField(default=dict)
created_at = models.DateTimeField(auto_now_add=True)
class Meta:
app_label = 'billing'
db_table = 'igny8_credit_usage_logs'
ordering = ['-created_at']
indexes = [
models.Index(fields=['account', 'operation_type']),
models.Index(fields=['account', 'created_at']),
models.Index(fields=['account', 'operation_type', 'created_at']),
]
def __str__(self):
account = getattr(self, 'account', None)
return f"{self.get_operation_type_display()} - {self.credits_used} credits - {account.name if account else 'No Account'}"

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"""
Billing services
"""

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"""
Credit Service for managing credit transactions and deductions
"""
from django.db import transaction
from django.utils import timezone
from igny8_core.business.billing.models import CreditTransaction, CreditUsageLog
from igny8_core.business.billing.constants import CREDIT_COSTS
from igny8_core.business.billing.exceptions import InsufficientCreditsError, CreditCalculationError
from igny8_core.auth.models import Account
class CreditService:
"""Service for managing credits"""
@staticmethod
def get_credit_cost(operation_type, amount=None):
"""
Get credit cost for operation.
Args:
operation_type: Type of operation (from CREDIT_COSTS)
amount: Optional amount (word count, image count, etc.)
Returns:
int: Number of credits required
Raises:
CreditCalculationError: If operation type is unknown
"""
base_cost = CREDIT_COSTS.get(operation_type, 0)
if base_cost == 0:
raise CreditCalculationError(f"Unknown operation type: {operation_type}")
# Variable cost operations
if operation_type == 'content_generation' and amount:
# Per 100 words
return max(1, int(base_cost * (amount / 100)))
elif operation_type == 'optimization' and amount:
# Per 200 words
return max(1, int(base_cost * (amount / 200)))
elif operation_type == 'image_generation' and amount:
# Per image
return base_cost * amount
elif operation_type == 'idea_generation' and amount:
# Per idea
return base_cost * amount
# Fixed cost operations
return base_cost
@staticmethod
def check_credits(account, operation_type, amount=None):
"""
Check if account has sufficient credits for an operation.
Args:
account: Account instance
operation_type: Type of operation
amount: Optional amount (word count, image count, etc.)
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
required = CreditService.get_credit_cost(operation_type, amount)
if account.credits < required:
raise InsufficientCreditsError(
f"Insufficient credits. Required: {required}, Available: {account.credits}"
)
return True
@staticmethod
def check_credits_legacy(account, required_credits):
"""
Legacy method: Check if account has enough credits (for backward compatibility).
Args:
account: Account instance
required_credits: Number of credits required
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
if account.credits < required_credits:
raise InsufficientCreditsError(
f"Insufficient credits. Required: {required_credits}, Available: {account.credits}"
)
@staticmethod
@transaction.atomic
def deduct_credits(account, amount, operation_type, description, metadata=None, cost_usd=None, model_used=None, tokens_input=None, tokens_output=None, related_object_type=None, related_object_id=None):
"""
Deduct credits and log transaction.
Args:
account: Account instance
amount: Number of credits to deduct
operation_type: Type of operation (from CreditUsageLog.OPERATION_TYPE_CHOICES)
description: Description of the transaction
metadata: Optional metadata dict
cost_usd: Optional cost in USD
model_used: Optional AI model used
tokens_input: Optional input tokens
tokens_output: Optional output tokens
related_object_type: Optional related object type
related_object_id: Optional related object ID
Returns:
int: New credit balance
"""
# Check sufficient credits (legacy: amount is already calculated)
CreditService.check_credits_legacy(account, amount)
# Deduct from account.credits
account.credits -= amount
account.save(update_fields=['credits'])
# Create CreditTransaction
CreditTransaction.objects.create(
account=account,
transaction_type='deduction',
amount=-amount, # Negative for deduction
balance_after=account.credits,
description=description,
metadata=metadata or {}
)
# Create CreditUsageLog
CreditUsageLog.objects.create(
account=account,
operation_type=operation_type,
credits_used=amount,
cost_usd=cost_usd,
model_used=model_used or '',
tokens_input=tokens_input,
tokens_output=tokens_output,
related_object_type=related_object_type or '',
related_object_id=related_object_id,
metadata=metadata or {}
)
return account.credits
@staticmethod
@transaction.atomic
def deduct_credits_for_operation(account, operation_type, amount=None, description=None, metadata=None, cost_usd=None, model_used=None, tokens_input=None, tokens_output=None, related_object_type=None, related_object_id=None):
"""
Deduct credits for an operation (convenience method that calculates cost automatically).
Args:
account: Account instance
operation_type: Type of operation
amount: Optional amount (word count, image count, etc.)
description: Optional description (auto-generated if not provided)
metadata: Optional metadata dict
cost_usd: Optional cost in USD
model_used: Optional AI model used
tokens_input: Optional input tokens
tokens_output: Optional output tokens
related_object_type: Optional related object type
related_object_id: Optional related object ID
Returns:
int: New credit balance
"""
# Calculate credit cost
credits_required = CreditService.get_credit_cost(operation_type, amount)
# Check sufficient credits
CreditService.check_credits(account, operation_type, amount)
# Auto-generate description if not provided
if not description:
if operation_type == 'clustering':
description = f"Clustering operation"
elif operation_type == 'idea_generation':
description = f"Generated {amount or 1} idea(s)"
elif operation_type == 'content_generation':
description = f"Generated content ({amount or 0} words)"
elif operation_type == 'image_generation':
description = f"Generated {amount or 1} image(s)"
else:
description = f"{operation_type} operation"
return CreditService.deduct_credits(
account=account,
amount=credits_required,
operation_type=operation_type,
description=description,
metadata=metadata,
cost_usd=cost_usd,
model_used=model_used,
tokens_input=tokens_input,
tokens_output=tokens_output,
related_object_type=related_object_type,
related_object_id=related_object_id
)
@staticmethod
@transaction.atomic
def add_credits(account, amount, transaction_type, description, metadata=None):
"""
Add credits (purchase, subscription, etc.).
Args:
account: Account instance
amount: Number of credits to add
transaction_type: Type of transaction (from CreditTransaction.TRANSACTION_TYPE_CHOICES)
description: Description of the transaction
metadata: Optional metadata dict
Returns:
int: New credit balance
"""
# Add to account.credits
account.credits += amount
account.save(update_fields=['credits'])
# Create CreditTransaction
CreditTransaction.objects.create(
account=account,
transaction_type=transaction_type,
amount=amount, # Positive for addition
balance_after=account.credits,
description=description,
metadata=metadata or {}
)
return account.credits
@staticmethod
def calculate_credits_for_operation(operation_type, **kwargs):
"""
Calculate credits needed for an operation.
Legacy method - use get_credit_cost() instead.
Args:
operation_type: Type of operation
**kwargs: Operation-specific parameters
Returns:
int: Number of credits required
Raises:
CreditCalculationError: If calculation fails
"""
# Map legacy operation types
if operation_type == 'ideas':
operation_type = 'idea_generation'
elif operation_type == 'content':
operation_type = 'content_generation'
elif operation_type == 'images':
operation_type = 'image_generation'
# Extract amount from kwargs
amount = None
if 'word_count' in kwargs:
amount = kwargs.get('word_count')
elif 'image_count' in kwargs:
amount = kwargs.get('image_count')
elif 'idea_count' in kwargs:
amount = kwargs.get('idea_count')
return CreditService.get_credit_cost(operation_type, amount)

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# Billing tests

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"""
Tests for Phase 4 credit deduction
"""
from unittest.mock import patch
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.constants import CREDIT_COSTS
from igny8_core.business.billing.exceptions import InsufficientCreditsError
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class Phase4CreditTests(IntegrationTestBase):
"""Tests for Phase 4 credit deduction"""
def setUp(self):
super().setUp()
# Set initial credits
self.account.credits = 1000
self.account.save()
def test_linking_deducts_correct_credits(self):
"""Test that linking deducts correct credits"""
cost = CreditService.get_credit_cost('linking')
expected_cost = CREDIT_COSTS.get('linking', 0)
self.assertEqual(cost, expected_cost)
self.assertEqual(cost, 8) # From constants
def test_optimization_deducts_correct_credits(self):
"""Test that optimization deducts correct credits based on word count"""
word_count = 500
cost = CreditService.get_credit_cost('optimization', word_count)
# Should be 1 credit per 200 words, so 500 words = 3 credits (max(1, 1 * 500/200) = 3)
expected = max(1, int(CREDIT_COSTS.get('optimization', 1) * (word_count / 200)))
self.assertEqual(cost, expected)
def test_optimization_credits_per_entry_point(self):
"""Test that optimization credits are same regardless of entry point"""
word_count = 400
# All entry points should use same credit calculation
cost = CreditService.get_credit_cost('optimization', word_count)
# 400 words = 2 credits (1 * 400/200)
self.assertEqual(cost, 2)
@patch('igny8_core.business.billing.services.credit_service.CreditService.deduct_credits')
def test_pipeline_deducts_credits_at_each_stage(self, mock_deduct):
"""Test that pipeline deducts credits at each stage"""
from igny8_core.business.content.services.content_pipeline_service import ContentPipelineService
from igny8_core.business.linking.services.linker_service import LinkerService
from igny8_core.business.optimization.services.optimizer_service import OptimizerService
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
word_count=400,
source='igny8'
)
# Mock the services
with patch.object(LinkerService, 'process') as mock_link, \
patch.object(OptimizerService, 'optimize_from_writer') as mock_optimize:
mock_link.return_value = content
mock_optimize.return_value = content
service = ContentPipelineService()
service.process_writer_content(content.id)
# Should deduct credits for both linking and optimization
self.assertGreater(mock_deduct.call_count, 0)
def test_insufficient_credits_blocks_linking(self):
"""Test that insufficient credits blocks linking"""
self.account.credits = 5 # Less than linking cost (8)
self.account.save()
with self.assertRaises(InsufficientCreditsError):
CreditService.check_credits(self.account, 'linking')
def test_insufficient_credits_blocks_optimization(self):
"""Test that insufficient credits blocks optimization"""
self.account.credits = 1 # Less than optimization cost for 500 words
self.account.save()
with self.assertRaises(InsufficientCreditsError):
CreditService.check_credits(self.account, 'optimization', 500)
def test_credit_deduction_logged(self):
"""Test that credit deduction is logged"""
from igny8_core.business.billing.models import CreditUsageLog
initial_credits = self.account.credits
cost = CreditService.get_credit_cost('linking')
CreditService.deduct_credits_for_operation(
account=self.account,
operation_type='linking',
description="Test linking"
)
self.account.refresh_from_db()
self.assertEqual(self.account.credits, initial_credits - cost)
# Check that usage log was created
log = CreditUsageLog.objects.filter(
account=self.account,
operation_type='linking'
).first()
self.assertIsNotNone(log)
def test_batch_operations_deduct_multiple_credits(self):
"""Test that batch operations deduct multiple credits"""
initial_credits = self.account.credits
linking_cost = CreditService.get_credit_cost('linking')
# Deduct for 3 linking operations
for i in range(3):
CreditService.deduct_credits_for_operation(
account=self.account,
operation_type='linking',
description=f"Linking {i}"
)
self.account.refresh_from_db()
expected_credits = initial_credits - (linking_cost * 3)
self.assertEqual(self.account.credits, expected_credits)

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"""
Content business logic - Content, Tasks, Images models and services
"""

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from django.db import models
from django.core.validators import MinValueValidator
from igny8_core.auth.models import SiteSectorBaseModel
class Tasks(SiteSectorBaseModel):
"""Tasks model for content generation queue"""
STATUS_CHOICES = [
('queued', 'Queued'),
('completed', 'Completed'),
]
CONTENT_STRUCTURE_CHOICES = [
('cluster_hub', 'Cluster Hub'),
('landing_page', 'Landing Page'),
('pillar_page', 'Pillar Page'),
('supporting_page', 'Supporting Page'),
]
CONTENT_TYPE_CHOICES = [
('blog_post', 'Blog Post'),
('article', 'Article'),
('guide', 'Guide'),
('tutorial', 'Tutorial'),
]
title = models.CharField(max_length=255, db_index=True)
description = models.TextField(blank=True, null=True)
keywords = models.CharField(max_length=500, blank=True) # Comma-separated keywords (legacy)
cluster = models.ForeignKey(
'planner.Clusters',
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='tasks',
limit_choices_to={'sector': models.F('sector')}
)
keyword_objects = models.ManyToManyField(
'planner.Keywords',
blank=True,
related_name='tasks',
help_text="Individual keywords linked to this task"
)
idea = models.ForeignKey(
'planner.ContentIdeas',
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='tasks'
)
content_structure = models.CharField(max_length=50, choices=CONTENT_STRUCTURE_CHOICES, default='blog_post')
content_type = models.CharField(max_length=50, choices=CONTENT_TYPE_CHOICES, default='blog_post')
status = models.CharField(max_length=50, choices=STATUS_CHOICES, default='queued')
# Stage 3: Entity metadata fields
ENTITY_TYPE_CHOICES = [
('blog_post', 'Blog Post'),
('article', 'Article'),
('product', 'Product'),
('service', 'Service Page'),
('taxonomy', 'Taxonomy Page'),
('page', 'Page'),
]
CLUSTER_ROLE_CHOICES = [
('hub', 'Hub Page'),
('supporting', 'Supporting Page'),
('attribute', 'Attribute Page'),
]
entity_type = models.CharField(
max_length=50,
choices=ENTITY_TYPE_CHOICES,
default='blog_post',
db_index=True,
blank=True,
null=True,
help_text="Type of content entity (inherited from idea/blueprint)"
)
taxonomy = models.ForeignKey(
'site_building.SiteBlueprintTaxonomy',
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='tasks',
help_text="Taxonomy association when derived from blueprint planning"
)
cluster_role = models.CharField(
max_length=50,
choices=CLUSTER_ROLE_CHOICES,
default='hub',
blank=True,
null=True,
help_text="Role within the cluster-driven sitemap"
)
# Content fields
content = models.TextField(blank=True, null=True) # Generated content
word_count = models.IntegerField(default=0)
# SEO fields
meta_title = models.CharField(max_length=255, blank=True, null=True)
meta_description = models.TextField(blank=True, null=True)
# WordPress integration
assigned_post_id = models.IntegerField(null=True, blank=True) # WordPress post ID if published
post_url = models.URLField(blank=True, null=True) # WordPress post URL
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'writer'
db_table = 'igny8_tasks'
ordering = ['-created_at']
verbose_name = 'Task'
verbose_name_plural = 'Tasks'
indexes = [
models.Index(fields=['title']),
models.Index(fields=['status']),
models.Index(fields=['cluster']),
models.Index(fields=['content_type']),
models.Index(fields=['entity_type']),
models.Index(fields=['cluster_role']),
models.Index(fields=['site', 'sector']),
]
def __str__(self):
return self.title
class Content(SiteSectorBaseModel):
"""
Content model for storing final AI-generated article content.
Separated from Task for content versioning and storage optimization.
"""
task = models.OneToOneField(
Tasks,
on_delete=models.CASCADE,
null=True,
blank=True,
related_name='content_record',
help_text="The task this content belongs to"
)
html_content = models.TextField(help_text="Final AI-generated HTML content")
word_count = models.IntegerField(default=0, validators=[MinValueValidator(0)])
metadata = models.JSONField(default=dict, help_text="Additional metadata (SEO, structure, etc.)")
title = models.CharField(max_length=255, blank=True, null=True)
meta_title = models.CharField(max_length=255, blank=True, null=True)
meta_description = models.TextField(blank=True, null=True)
primary_keyword = models.CharField(max_length=255, blank=True, null=True)
secondary_keywords = models.JSONField(default=list, blank=True, help_text="List of secondary keywords")
tags = models.JSONField(default=list, blank=True, help_text="List of tags")
categories = models.JSONField(default=list, blank=True, help_text="List of categories")
STATUS_CHOICES = [
('draft', 'Draft'),
('review', 'Review'),
('publish', 'Publish'),
]
status = models.CharField(max_length=50, choices=STATUS_CHOICES, default='draft', help_text="Content workflow status (draft, review, publish)")
generated_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
# Phase 4: Source tracking
SOURCE_CHOICES = [
('igny8', 'IGNY8 Generated'),
('wordpress', 'WordPress Synced'),
('shopify', 'Shopify Synced'),
('custom', 'Custom API Synced'),
]
source = models.CharField(
max_length=50,
choices=SOURCE_CHOICES,
default='igny8',
db_index=True,
help_text="Source of the content"
)
SYNC_STATUS_CHOICES = [
('native', 'Native IGNY8 Content'),
('imported', 'Imported from External'),
('synced', 'Synced from External'),
]
sync_status = models.CharField(
max_length=50,
choices=SYNC_STATUS_CHOICES,
default='native',
db_index=True,
help_text="Sync status of the content"
)
# External reference fields
external_id = models.CharField(max_length=255, blank=True, null=True, help_text="External platform ID")
external_url = models.URLField(blank=True, null=True, help_text="External platform URL")
sync_metadata = models.JSONField(default=dict, blank=True, help_text="Platform-specific sync metadata")
# Phase 4: Linking fields
internal_links = models.JSONField(default=list, blank=True, help_text="Internal links added by linker")
linker_version = models.IntegerField(default=0, help_text="Version of linker processing")
# Phase 4: Optimization fields
optimizer_version = models.IntegerField(default=0, help_text="Version of optimizer processing")
optimization_scores = models.JSONField(default=dict, blank=True, help_text="Optimization scores (SEO, readability, engagement)")
# Phase 8: Universal Content Types
ENTITY_TYPE_CHOICES = [
('blog_post', 'Blog Post'),
('article', 'Article'),
('product', 'Product'),
('service', 'Service Page'),
('taxonomy', 'Taxonomy Page'),
('page', 'Page'),
]
entity_type = models.CharField(
max_length=50,
choices=ENTITY_TYPE_CHOICES,
default='blog_post',
db_index=True,
help_text="Type of content entity"
)
# Phase 8: Structured content blocks
json_blocks = models.JSONField(
default=list,
blank=True,
help_text="Structured content blocks (for products, services, taxonomies)"
)
# Phase 8: Content structure data
structure_data = models.JSONField(
default=dict,
blank=True,
help_text="Content structure data (metadata, schema, etc.)"
)
class Meta:
app_label = 'writer'
db_table = 'igny8_content'
ordering = ['-generated_at']
verbose_name = 'Content'
verbose_name_plural = 'Contents'
indexes = [
models.Index(fields=['task']),
models.Index(fields=['generated_at']),
models.Index(fields=['source']),
models.Index(fields=['sync_status']),
models.Index(fields=['source', 'sync_status']),
models.Index(fields=['entity_type']), # Phase 8
]
def save(self, *args, **kwargs):
"""Automatically set account, site, and sector from task"""
if self.task_id: # Check task_id instead of accessing task to avoid RelatedObjectDoesNotExist
try:
self.account = self.task.account
self.site = self.task.site
self.sector = self.task.sector
except self.task.RelatedObjectDoesNotExist:
pass # Task doesn't exist, skip
super().save(*args, **kwargs)
def __str__(self):
return f"Content for {self.task.title}"
class Images(SiteSectorBaseModel):
"""Images model for content-related images (featured, desktop, mobile, in-article)"""
IMAGE_TYPE_CHOICES = [
('featured', 'Featured Image'),
('desktop', 'Desktop Image'),
('mobile', 'Mobile Image'),
('in_article', 'In-Article Image'),
]
content = models.ForeignKey(
Content,
on_delete=models.CASCADE,
related_name='images',
null=True,
blank=True,
help_text="The content this image belongs to (preferred)"
)
task = models.ForeignKey(
Tasks,
on_delete=models.CASCADE,
related_name='images',
null=True,
blank=True,
help_text="The task this image belongs to (legacy, use content instead)"
)
image_type = models.CharField(max_length=50, choices=IMAGE_TYPE_CHOICES, default='featured')
image_url = models.CharField(max_length=500, blank=True, null=True, help_text="URL of the generated/stored image")
image_path = models.CharField(max_length=500, blank=True, null=True, help_text="Local path if stored locally")
prompt = models.TextField(blank=True, null=True, help_text="Image generation prompt used")
status = models.CharField(max_length=50, default='pending', help_text="Status: pending, generated, failed")
position = models.IntegerField(default=0, help_text="Position for in-article images ordering")
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'writer'
db_table = 'igny8_images'
ordering = ['content', 'position', '-created_at']
verbose_name = 'Image'
verbose_name_plural = 'Images'
indexes = [
models.Index(fields=['content', 'image_type']),
models.Index(fields=['task', 'image_type']),
models.Index(fields=['status']),
models.Index(fields=['content', 'position']),
models.Index(fields=['task', 'position']),
]
def save(self, *args, **kwargs):
"""Automatically set account, site, and sector from content or task"""
# Prefer content over task
if self.content:
self.account = self.content.account
self.site = self.content.site
self.sector = self.content.sector
elif self.task:
self.account = self.task.account
self.site = self.task.site
self.sector = self.task.sector
super().save(*args, **kwargs)
def __str__(self):
content_title = self.content.title if self.content else None
task_title = self.task.title if self.task else None
title = content_title or task_title or 'Unknown'
return f"{title} - {self.image_type}"
class ContentClusterMap(SiteSectorBaseModel):
"""Associates generated content with planner clusters + roles."""
ROLE_CHOICES = [
('hub', 'Hub Page'),
('supporting', 'Supporting Page'),
('attribute', 'Attribute Page'),
]
SOURCE_CHOICES = [
('blueprint', 'Blueprint'),
('manual', 'Manual'),
('import', 'Import'),
]
content = models.ForeignKey(
Content,
on_delete=models.CASCADE,
related_name='cluster_mappings',
null=True,
blank=True,
)
task = models.ForeignKey(
Tasks,
on_delete=models.CASCADE,
related_name='cluster_mappings',
null=True,
blank=True,
)
cluster = models.ForeignKey(
'planner.Clusters',
on_delete=models.CASCADE,
related_name='content_mappings',
)
role = models.CharField(max_length=50, choices=ROLE_CHOICES, default='hub')
source = models.CharField(max_length=50, choices=SOURCE_CHOICES, default='blueprint')
metadata = models.JSONField(default=dict, blank=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'writer'
db_table = 'igny8_content_cluster_map'
unique_together = [['content', 'cluster', 'role']]
indexes = [
models.Index(fields=['cluster', 'role']),
models.Index(fields=['content', 'role']),
models.Index(fields=['task', 'role']),
]
def save(self, *args, **kwargs):
provider = self.content or self.task
if provider:
self.account = provider.account
self.site = provider.site
self.sector = provider.sector
super().save(*args, **kwargs)
def __str__(self):
return f"{self.cluster.name} ({self.get_role_display()})"
class ContentTaxonomyMap(SiteSectorBaseModel):
"""Maps content entities to blueprint taxonomies for syncing/publishing."""
SOURCE_CHOICES = [
('blueprint', 'Blueprint'),
('manual', 'Manual'),
('import', 'Import'),
]
content = models.ForeignKey(
Content,
on_delete=models.CASCADE,
related_name='taxonomy_mappings',
null=True,
blank=True,
)
task = models.ForeignKey(
Tasks,
on_delete=models.CASCADE,
related_name='taxonomy_mappings',
null=True,
blank=True,
)
taxonomy = models.ForeignKey(
'site_building.SiteBlueprintTaxonomy',
on_delete=models.CASCADE,
related_name='content_mappings',
)
source = models.CharField(max_length=50, choices=SOURCE_CHOICES, default='blueprint')
metadata = models.JSONField(default=dict, blank=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'writer'
db_table = 'igny8_content_taxonomy_map'
unique_together = [['content', 'taxonomy']]
indexes = [
models.Index(fields=['taxonomy']),
models.Index(fields=['content', 'taxonomy']),
models.Index(fields=['task', 'taxonomy']),
]
def save(self, *args, **kwargs):
provider = self.content or self.task
if provider:
self.account = provider.account
self.site = provider.site
self.sector = provider.sector
super().save(*args, **kwargs)
def __str__(self):
return f"{self.taxonomy.name}"
class ContentAttributeMap(SiteSectorBaseModel):
"""Stores structured attribute data tied to content/task records."""
SOURCE_CHOICES = [
('blueprint', 'Blueprint'),
('manual', 'Manual'),
('import', 'Import'),
]
content = models.ForeignKey(
Content,
on_delete=models.CASCADE,
related_name='attribute_mappings',
null=True,
blank=True,
)
task = models.ForeignKey(
Tasks,
on_delete=models.CASCADE,
related_name='attribute_mappings',
null=True,
blank=True,
)
name = models.CharField(max_length=120)
value = models.CharField(max_length=255, blank=True, null=True)
source = models.CharField(max_length=50, choices=SOURCE_CHOICES, default='blueprint')
metadata = models.JSONField(default=dict, blank=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'writer'
db_table = 'igny8_content_attribute_map'
indexes = [
models.Index(fields=['name']),
models.Index(fields=['content', 'name']),
models.Index(fields=['task', 'name']),
]
def save(self, *args, **kwargs):
provider = self.content or self.task
if provider:
self.account = provider.account
self.site = provider.site
self.sector = provider.sector
super().save(*args, **kwargs)
def __str__(self):
target = self.content or self.task
return f"{target} {self.name}"

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"""
Content Services
"""
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
from igny8_core.business.content.services.content_pipeline_service import ContentPipelineService
__all__ = ['ContentGenerationService', 'ContentPipelineService']

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"""
Content Generation Service
Handles content generation business logic
"""
import logging
from igny8_core.business.content.models import Tasks
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
logger = logging.getLogger(__name__)
class ContentGenerationService:
"""Service for content generation operations"""
def __init__(self):
self.credit_service = CreditService()
def generate_content(self, task_ids, account):
"""
Generate content for tasks.
Args:
task_ids: List of task IDs
account: Account instance
Returns:
dict: Result with success status and data
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
# Get tasks
tasks = Tasks.objects.filter(id__in=task_ids, account=account)
# Calculate estimated credits needed
total_word_count = sum(task.word_count or 1000 for task in tasks)
# Check credits
try:
self.credit_service.check_credits(account, 'content_generation', total_word_count)
except InsufficientCreditsError:
raise
# Delegate to AI task (actual generation happens in Celery)
from igny8_core.ai.tasks import run_ai_task
try:
if hasattr(run_ai_task, 'delay'):
# Celery available - queue async
task = run_ai_task.delay(
function_name='generate_content',
payload={'ids': task_ids},
account_id=account.id
)
return {
'success': True,
'task_id': str(task.id),
'message': 'Content generation started'
}
else:
# Celery not available - execute synchronously
result = run_ai_task(
function_name='generate_content',
payload={'ids': task_ids},
account_id=account.id
)
return result
except Exception as e:
logger.error(f"Error in generate_content: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}
def generate_product_content(self, product_data, account, site=None, sector=None):
"""
Generate product content.
Args:
product_data: Dict with product information (name, description, features, etc.)
account: Account instance
site: Site instance (optional)
sector: Sector instance (optional)
Returns:
dict: Result with success status and data
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
# Calculate estimated credits needed (default 1500 words for product content)
estimated_word_count = product_data.get('word_count', 1500)
# Check credits
try:
self.credit_service.check_credits(account, 'content_generation', estimated_word_count)
except InsufficientCreditsError:
raise
# Delegate to AI task
from igny8_core.ai.tasks import run_ai_task
try:
payload = {
'product_name': product_data.get('name', ''),
'product_description': product_data.get('description', ''),
'product_features': product_data.get('features', []),
'target_audience': product_data.get('target_audience', ''),
'primary_keyword': product_data.get('primary_keyword', ''),
'site_id': site.id if site else None,
'sector_id': sector.id if sector else None,
}
if hasattr(run_ai_task, 'delay'):
# Celery available - queue async
task = run_ai_task.delay(
function_name='generate_product_content',
payload=payload,
account_id=account.id
)
return {
'success': True,
'task_id': str(task.id),
'message': 'Product content generation started'
}
else:
# Celery not available - execute synchronously
result = run_ai_task(
function_name='generate_product_content',
payload=payload,
account_id=account.id
)
return result
except Exception as e:
logger.error(f"Error in generate_product_content: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}
def generate_service_page(self, service_data, account, site=None, sector=None):
"""
Generate service page content.
Args:
service_data: Dict with service information (name, description, benefits, etc.)
account: Account instance
site: Site instance (optional)
sector: Sector instance (optional)
Returns:
dict: Result with success status and data
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
# Calculate estimated credits needed (default 1800 words for service page)
estimated_word_count = service_data.get('word_count', 1800)
# Check credits
try:
self.credit_service.check_credits(account, 'content_generation', estimated_word_count)
except InsufficientCreditsError:
raise
# Delegate to AI task
from igny8_core.ai.tasks import run_ai_task
try:
payload = {
'service_name': service_data.get('name', ''),
'service_description': service_data.get('description', ''),
'service_benefits': service_data.get('benefits', []),
'target_audience': service_data.get('target_audience', ''),
'primary_keyword': service_data.get('primary_keyword', ''),
'site_id': site.id if site else None,
'sector_id': sector.id if sector else None,
}
if hasattr(run_ai_task, 'delay'):
# Celery available - queue async
task = run_ai_task.delay(
function_name='generate_service_page',
payload=payload,
account_id=account.id
)
return {
'success': True,
'task_id': str(task.id),
'message': 'Service page generation started'
}
else:
# Celery not available - execute synchronously
result = run_ai_task(
function_name='generate_service_page',
payload=payload,
account_id=account.id
)
return result
except Exception as e:
logger.error(f"Error in generate_service_page: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}
def generate_taxonomy(self, taxonomy_data, account, site=None, sector=None):
"""
Generate taxonomy page content.
Args:
taxonomy_data: Dict with taxonomy information (name, description, items, etc.)
account: Account instance
site: Site instance (optional)
sector: Sector instance (optional)
Returns:
dict: Result with success status and data
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
# Calculate estimated credits needed (default 1200 words for taxonomy page)
estimated_word_count = taxonomy_data.get('word_count', 1200)
# Check credits
try:
self.credit_service.check_credits(account, 'content_generation', estimated_word_count)
except InsufficientCreditsError:
raise
# Delegate to AI task
from igny8_core.ai.tasks import run_ai_task
try:
payload = {
'taxonomy_name': taxonomy_data.get('name', ''),
'taxonomy_description': taxonomy_data.get('description', ''),
'taxonomy_items': taxonomy_data.get('items', []),
'primary_keyword': taxonomy_data.get('primary_keyword', ''),
'site_id': site.id if site else None,
'sector_id': sector.id if sector else None,
}
if hasattr(run_ai_task, 'delay'):
# Celery available - queue async
task = run_ai_task.delay(
function_name='generate_taxonomy',
payload=payload,
account_id=account.id
)
return {
'success': True,
'task_id': str(task.id),
'message': 'Taxonomy generation started'
}
else:
# Celery not available - execute synchronously
result = run_ai_task(
function_name='generate_taxonomy',
payload=payload,
account_id=account.id
)
return result
except Exception as e:
logger.error(f"Error in generate_taxonomy: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}

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"""
Content Pipeline Service
Orchestrates content processing pipeline: Writer → Linker → Optimizer
"""
import logging
from typing import List, Optional
from igny8_core.business.content.models import Content
from igny8_core.business.linking.services.linker_service import LinkerService
from igny8_core.business.optimization.services.optimizer_service import OptimizerService
logger = logging.getLogger(__name__)
class ContentPipelineService:
"""Orchestrates content processing pipeline"""
def __init__(self):
self.linker_service = LinkerService()
self.optimizer_service = OptimizerService()
def process_writer_content(
self,
content_id: int,
stages: Optional[List[str]] = None
) -> Content:
"""
Writer → Linker → Optimizer pipeline.
Args:
content_id: Content ID from Writer
stages: List of stages to run: ['linking', 'optimization'] (default: both)
Returns:
Processed Content instance
"""
if stages is None:
stages = ['linking', 'optimization']
try:
content = Content.objects.get(id=content_id, source='igny8')
except Content.DoesNotExist:
raise ValueError(f"IGNY8 content with id {content_id} does not exist")
# Stage 1: Linking
if 'linking' in stages:
try:
content = self.linker_service.process(content.id)
logger.info(f"Linked content {content_id}")
except Exception as e:
logger.error(f"Error in linking stage for content {content_id}: {str(e)}", exc_info=True)
# Continue to next stage even if linking fails
pass
# Stage 2: Optimization
if 'optimization' in stages:
try:
content = self.optimizer_service.optimize_from_writer(content.id)
logger.info(f"Optimized content {content_id}")
except Exception as e:
logger.error(f"Error in optimization stage for content {content_id}: {str(e)}", exc_info=True)
# Don't fail the whole pipeline
pass
return content
def process_synced_content(
self,
content_id: int,
stages: Optional[List[str]] = None
) -> Content:
"""
Synced Content → Optimizer pipeline (skip linking if needed).
Args:
content_id: Content ID from sync (WordPress, Shopify, etc.)
stages: List of stages to run: ['optimization'] (default: optimization only)
Returns:
Processed Content instance
"""
if stages is None:
stages = ['optimization']
try:
content = Content.objects.get(id=content_id)
except Content.DoesNotExist:
raise ValueError(f"Content with id {content_id} does not exist")
# Stage: Optimization (skip linking for synced content by default)
if 'optimization' in stages:
try:
if content.source == 'wordpress':
content = self.optimizer_service.optimize_from_wordpress_sync(content.id)
elif content.source in ['shopify', 'custom']:
content = self.optimizer_service.optimize_from_external_sync(content.id)
else:
content = self.optimizer_service.optimize_manual(content.id)
logger.info(f"Optimized synced content {content_id}")
except Exception as e:
logger.error(f"Error in optimization stage for content {content_id}: {str(e)}", exc_info=True)
raise
return content
def batch_process_writer_content(
self,
content_ids: List[int],
stages: Optional[List[str]] = None
) -> List[Content]:
"""
Batch process multiple Writer content items.
Args:
content_ids: List of content IDs
stages: List of stages to run
Returns:
List of processed Content instances
"""
results = []
for content_id in content_ids:
try:
result = self.process_writer_content(content_id, stages)
results.append(result)
except Exception as e:
logger.error(f"Error processing content {content_id}: {str(e)}", exc_info=True)
# Continue with other items
continue
return results

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"""
Metadata Mapping Service
Stage 3: Persists cluster/taxonomy/attribute mappings from Tasks to Content
"""
import logging
from typing import Optional
from django.db import transaction
from igny8_core.business.content.models import (
Tasks,
Content,
ContentClusterMap,
ContentTaxonomyMap,
ContentAttributeMap,
)
logger = logging.getLogger(__name__)
class MetadataMappingService:
"""Service for persisting metadata mappings from Tasks to Content"""
@transaction.atomic
def persist_task_metadata_to_content(self, content: Content) -> None:
"""
Persist cluster/taxonomy/attribute mappings from Task to Content.
Args:
content: Content instance with an associated task
"""
if not content.task:
logger.warning(f"Content {content.id} has no associated task, skipping metadata mapping")
return
task = content.task
# Stage 3: Persist cluster mapping if task has cluster
if task.cluster:
ContentClusterMap.objects.get_or_create(
content=content,
cluster=task.cluster,
role=task.cluster_role or 'hub',
defaults={
'account': content.account,
'site': content.site,
'sector': content.sector,
'source': 'blueprint' if task.idea else 'manual',
'metadata': {},
}
)
logger.info(f"Created cluster mapping for content {content.id} -> cluster {task.cluster.id}")
# Stage 3: Persist taxonomy mapping if task has taxonomy
if task.taxonomy:
ContentTaxonomyMap.objects.get_or_create(
content=content,
taxonomy=task.taxonomy,
defaults={
'account': content.account,
'site': content.site,
'sector': content.sector,
'source': 'blueprint',
'metadata': {},
}
)
logger.info(f"Created taxonomy mapping for content {content.id} -> taxonomy {task.taxonomy.id}")
# Stage 3: Inherit entity_type from task
if task.entity_type and not content.entity_type:
content.entity_type = task.entity_type
content.save(update_fields=['entity_type'])
logger.info(f"Set entity_type {task.entity_type} for content {content.id}")
# Stage 3: Extract attributes from task metadata if available
# This can be extended to parse task.description or task.metadata for attributes
# For now, we'll rely on explicit attribute data in future enhancements
@transaction.atomic
def backfill_content_metadata(self, content: Content) -> None:
"""
Backfill metadata mappings for existing content that may be missing mappings.
Args:
content: Content instance to backfill
"""
# If content already has mappings, skip
if ContentClusterMap.objects.filter(content=content).exists():
return
# Try to infer from task
if content.task:
self.persist_task_metadata_to_content(content)
return
# Try to infer from content metadata
if content.metadata:
cluster_id = content.metadata.get('cluster_id')
if cluster_id:
from igny8_core.business.planning.models import Clusters
try:
cluster = Clusters.objects.get(id=cluster_id)
ContentClusterMap.objects.get_or_create(
content=content,
cluster=cluster,
role='hub', # Default
defaults={
'account': content.account,
'site': content.site,
'sector': content.sector,
'source': 'manual',
'metadata': {},
}
)
except Clusters.DoesNotExist:
logger.warning(f"Cluster {cluster_id} not found for content {content.id}")

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"""
Content Validation Service
Stage 3: Validates content metadata before publish
"""
import logging
from typing import List, Dict, Optional
from django.core.exceptions import ValidationError
from igny8_core.business.content.models import Tasks, Content
logger = logging.getLogger(__name__)
class ContentValidationService:
"""Service for validating content metadata requirements"""
def validate_task(self, task: Tasks) -> List[Dict[str, str]]:
"""
Validate a task has required metadata.
Args:
task: Task instance to validate
Returns:
List of validation errors (empty if valid)
"""
errors = []
# Stage 3: Enforce "no cluster, no task" rule when feature flag enabled
from django.conf import settings
if getattr(settings, 'USE_SITE_BUILDER_REFACTOR', False):
if not task.cluster:
errors.append({
'field': 'cluster',
'code': 'missing_cluster',
'message': 'Task must be associated with a cluster before content generation',
})
# Stage 3: Validate entity_type is set
if not task.entity_type:
errors.append({
'field': 'entity_type',
'code': 'missing_entity_type',
'message': 'Task must have an entity type specified',
})
# Stage 3: Validate taxonomy for product/service entities
if task.entity_type in ['product', 'service']:
if not task.taxonomy:
errors.append({
'field': 'taxonomy',
'code': 'missing_taxonomy',
'message': f'{task.entity_type.title()} tasks require a taxonomy association',
})
return errors
def validate_content(self, content: Content) -> List[Dict[str, str]]:
"""
Validate content has required metadata before publish.
Args:
content: Content instance to validate
Returns:
List of validation errors (empty if valid)
"""
errors = []
# Stage 3: Validate entity_type
if not content.entity_type:
errors.append({
'field': 'entity_type',
'code': 'missing_entity_type',
'message': 'Content must have an entity type specified',
})
# Stage 3: Validate cluster mapping exists for IGNY8 content
if content.source == 'igny8':
from igny8_core.business.content.models import ContentClusterMap
if not ContentClusterMap.objects.filter(content=content).exists():
errors.append({
'field': 'cluster_mapping',
'code': 'missing_cluster_mapping',
'message': 'Content must be mapped to at least one cluster',
})
# Stage 3: Validate taxonomy for product/service content
if content.entity_type in ['product', 'service']:
from igny8_core.business.content.models import ContentTaxonomyMap
if not ContentTaxonomyMap.objects.filter(content=content).exists():
errors.append({
'field': 'taxonomy_mapping',
'code': 'missing_taxonomy_mapping',
'message': f'{content.entity_type.title()} content requires a taxonomy mapping',
})
# Stage 3: Validate required attributes for products
if content.entity_type == 'product':
from igny8_core.business.content.models import ContentAttributeMap
required_attrs = ['price', 'sku', 'category']
existing_attrs = ContentAttributeMap.objects.filter(
content=content,
name__in=required_attrs
).values_list('name', flat=True)
missing_attrs = set(required_attrs) - set(existing_attrs)
if missing_attrs:
errors.append({
'field': 'attributes',
'code': 'missing_attributes',
'message': f'Product content requires attributes: {", ".join(missing_attrs)}',
})
return errors
def validate_for_publish(self, content: Content) -> List[Dict[str, str]]:
"""
Comprehensive validation before publishing content.
Args:
content: Content instance to validate
Returns:
List of validation errors (empty if ready to publish)
"""
errors = []
# Basic content validation
errors.extend(self.validate_content(content))
# Additional publish requirements
if not content.title:
errors.append({
'field': 'title',
'code': 'missing_title',
'message': 'Content must have a title before publishing',
})
if not content.html_content or len(content.html_content.strip()) < 100:
errors.append({
'field': 'html_content',
'code': 'insufficient_content',
'message': 'Content must have at least 100 characters before publishing',
})
return errors
def ensure_required_attributes(self, task: Tasks) -> List[Dict[str, str]]:
"""
Check if task has required attributes based on entity type.
Args:
task: Task instance to check
Returns:
List of missing attribute errors
"""
errors = []
if task.entity_type == 'product':
# Products should have taxonomy and cluster
if not task.taxonomy:
errors.append({
'field': 'taxonomy',
'code': 'missing_taxonomy',
'message': 'Product tasks require a taxonomy (product category)',
})
return errors

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# Content tests

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"""
Tests for ContentPipelineService
"""
from unittest.mock import patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.content.services.content_pipeline_service import ContentPipelineService
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class ContentPipelineServiceTests(IntegrationTestBase):
"""Tests for ContentPipelineService"""
def setUp(self):
super().setUp()
self.service = ContentPipelineService()
# Create writer content
self.writer_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Writer Content",
html_content="<p>Writer content.</p>",
word_count=500,
status='draft',
source='igny8'
)
# Create synced content
self.synced_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="WordPress Content",
html_content="<p>WordPress content.</p>",
word_count=500,
status='draft',
source='wordpress'
)
@patch('igny8_core.business.content.services.content_pipeline_service.LinkerService.process')
@patch('igny8_core.business.content.services.content_pipeline_service.OptimizerService.optimize_from_writer')
def test_process_writer_content_full_pipeline(self, mock_optimize, mock_link):
"""Test full pipeline for writer content (linking + optimization)"""
mock_link.return_value = self.writer_content
mock_optimize.return_value = self.writer_content
result = self.service.process_writer_content(self.writer_content.id)
self.assertEqual(result.id, self.writer_content.id)
mock_link.assert_called_once()
mock_optimize.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.OptimizerService.optimize_from_writer')
def test_process_writer_content_optimization_only(self, mock_optimize):
"""Test writer content with optimization only"""
mock_optimize.return_value = self.writer_content
result = self.service.process_writer_content(
self.writer_content.id,
stages=['optimization']
)
self.assertEqual(result.id, self.writer_content.id)
mock_optimize.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.LinkerService.process')
def test_process_writer_content_linking_only(self, mock_link):
"""Test writer content with linking only"""
mock_link.return_value = self.writer_content
result = self.service.process_writer_content(
self.writer_content.id,
stages=['linking']
)
self.assertEqual(result.id, self.writer_content.id)
mock_link.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.LinkerService.process')
@patch('igny8_core.business.content.services.content_pipeline_service.OptimizerService.optimize_from_writer')
def test_process_writer_content_handles_linker_failure(self, mock_optimize, mock_link):
"""Test that pipeline continues when linking fails"""
mock_link.side_effect = Exception("Linking failed")
mock_optimize.return_value = self.writer_content
# Should not raise exception, should continue to optimization
result = self.service.process_writer_content(self.writer_content.id)
self.assertEqual(result.id, self.writer_content.id)
mock_optimize.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.OptimizerService.optimize_from_wordpress_sync')
def test_process_synced_content_wordpress(self, mock_optimize):
"""Test synced content pipeline for WordPress"""
mock_optimize.return_value = self.synced_content
result = self.service.process_synced_content(self.synced_content.id)
self.assertEqual(result.id, self.synced_content.id)
mock_optimize.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.OptimizerService.optimize_from_external_sync')
def test_process_synced_content_shopify(self, mock_optimize):
"""Test synced content pipeline for Shopify"""
shopify_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Shopify Content",
word_count=100,
source='shopify'
)
mock_optimize.return_value = shopify_content
result = self.service.process_synced_content(shopify_content.id)
self.assertEqual(result.id, shopify_content.id)
mock_optimize.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.OptimizerService.optimize_manual')
def test_process_synced_content_custom(self, mock_optimize):
"""Test synced content pipeline for custom source"""
custom_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Custom Content",
word_count=100,
source='custom'
)
mock_optimize.return_value = custom_content
result = self.service.process_synced_content(custom_content.id)
self.assertEqual(result.id, custom_content.id)
mock_optimize.assert_called_once()
@patch('igny8_core.business.content.services.content_pipeline_service.ContentPipelineService.process_writer_content')
def test_batch_process_writer_content(self, mock_process):
"""Test batch processing writer content"""
content2 = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Content 2",
word_count=100,
source='igny8'
)
mock_process.side_effect = [self.writer_content, content2]
results = self.service.batch_process_writer_content([
self.writer_content.id,
content2.id
])
self.assertEqual(len(results), 2)
self.assertEqual(mock_process.call_count, 2)
@patch('igny8_core.business.content.services.content_pipeline_service.ContentPipelineService.process_writer_content')
def test_batch_process_handles_partial_failure(self, mock_process):
"""Test batch processing handles partial failures"""
mock_process.side_effect = [self.writer_content, Exception("Failed")]
results = self.service.batch_process_writer_content([
self.writer_content.id,
99999
])
# Should continue processing and return successful results
self.assertEqual(len(results), 1)
self.assertEqual(results[0].id, self.writer_content.id)
def test_process_writer_content_invalid_content(self):
"""Test that ValueError is raised for invalid content"""
with self.assertRaises(ValueError):
self.service.process_writer_content(99999)
def test_process_synced_content_invalid_content(self):
"""Test that ValueError is raised for invalid synced content"""
with self.assertRaises(ValueError):
self.service.process_synced_content(99999)

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"""
Tests for Universal Content Types (Phase 8)
Tests for product, service, and taxonomy content generation
"""
from unittest.mock import patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class UniversalContentTypesTests(IntegrationTestBase):
"""Tests for Phase 8: Universal Content Types"""
def setUp(self):
super().setUp()
# Add credits to account for testing
self.account.credits = 10000
self.account.save()
self.service = ContentGenerationService()
@patch('igny8_core.ai.tasks.run_ai_task')
def test_product_content_generates_correctly(self, mock_run_ai_task):
"""
Test: Product content generates correctly
Task 17: Verify product generation creates content with correct entity_type and structure
"""
# Mock AI task response
mock_task = MagicMock()
mock_task.id = 'test-task-123'
mock_run_ai_task.delay.return_value = mock_task
product_data = {
'name': 'Test Product',
'description': 'A test product description',
'features': ['Feature 1', 'Feature 2', 'Feature 3'],
'target_audience': 'Small businesses',
'primary_keyword': 'test product',
'word_count': 1500
}
# Generate product content
result = self.service.generate_product_content(
product_data=product_data,
account=self.account,
site=self.site,
sector=self.sector
)
# Verify result
self.assertTrue(result.get('success'))
self.assertIsNotNone(result.get('task_id'))
self.assertEqual(result.get('message'), 'Product content generation started')
# Verify AI task was called with correct function name
mock_run_ai_task.delay.assert_called_once()
call_args = mock_run_ai_task.delay.call_args
self.assertEqual(call_args[1]['function_name'], 'generate_product_content')
self.assertEqual(call_args[1]['payload']['product_name'], 'Test Product')
@patch('igny8_core.ai.tasks.run_ai_task')
def test_service_pages_work_correctly(self, mock_run_ai_task):
"""
Test: Service pages work correctly
Task 18: Verify service page generation creates content with correct entity_type
"""
# Mock AI task response
mock_task = MagicMock()
mock_task.id = 'test-task-456'
mock_run_ai_task.delay.return_value = mock_task
service_data = {
'name': 'Test Service',
'description': 'A test service description',
'benefits': ['Benefit 1', 'Benefit 2', 'Benefit 3'],
'target_audience': 'Enterprise clients',
'primary_keyword': 'test service',
'word_count': 1800
}
# Generate service page
result = self.service.generate_service_page(
service_data=service_data,
account=self.account,
site=self.site,
sector=self.sector
)
# Verify result
self.assertTrue(result.get('success'))
self.assertIsNotNone(result.get('task_id'))
self.assertEqual(result.get('message'), 'Service page generation started')
# Verify AI task was called with correct function name
mock_run_ai_task.delay.assert_called_once()
call_args = mock_run_ai_task.delay.call_args
self.assertEqual(call_args[1]['function_name'], 'generate_service_page')
self.assertEqual(call_args[1]['payload']['service_name'], 'Test Service')
@patch('igny8_core.ai.tasks.run_ai_task')
def test_taxonomy_pages_work_correctly(self, mock_run_ai_task):
"""
Test: Taxonomy pages work correctly
Task 19: Verify taxonomy generation creates content with correct entity_type
"""
# Mock AI task response
mock_task = MagicMock()
mock_task.id = 'test-task-789'
mock_run_ai_task.delay.return_value = mock_task
taxonomy_data = {
'name': 'Test Taxonomy',
'description': 'A test taxonomy description',
'items': ['Category 1', 'Category 2', 'Category 3'],
'primary_keyword': 'test taxonomy',
'word_count': 1200
}
# Generate taxonomy
result = self.service.generate_taxonomy(
taxonomy_data=taxonomy_data,
account=self.account,
site=self.site,
sector=self.sector
)
# Verify result
self.assertTrue(result.get('success'))
self.assertIsNotNone(result.get('task_id'))
self.assertEqual(result.get('message'), 'Taxonomy generation started')
# Verify AI task was called with correct function name
mock_run_ai_task.delay.assert_called_once()
call_args = mock_run_ai_task.delay.call_args
self.assertEqual(call_args[1]['function_name'], 'generate_taxonomy')
self.assertEqual(call_args[1]['payload']['taxonomy_name'], 'Test Taxonomy')
def test_product_content_has_correct_structure(self):
"""
Test: Product content generates correctly
Task 17: Verify product content has correct entity_type, json_blocks, and structure_data
"""
# Create product content manually to test structure
product_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Product',
html_content='<p>Product content</p>',
entity_type='product',
json_blocks=[
{
'type': 'product_overview',
'heading': 'Product Overview',
'content': 'Product description'
},
{
'type': 'features',
'heading': 'Key Features',
'items': ['Feature 1', 'Feature 2']
},
{
'type': 'specifications',
'heading': 'Specifications',
'data': {'Spec 1': 'Value 1'}
}
],
structure_data={
'product_type': 'software',
'price_range': '$99-$199',
'target_market': 'SMB'
},
word_count=1500,
status='draft'
)
# Verify structure
self.assertEqual(product_content.entity_type, 'product')
self.assertIsNotNone(product_content.json_blocks)
self.assertEqual(len(product_content.json_blocks), 3)
self.assertEqual(product_content.json_blocks[0]['type'], 'product_overview')
self.assertIsNotNone(product_content.structure_data)
self.assertEqual(product_content.structure_data['product_type'], 'software')
def test_service_content_has_correct_structure(self):
"""
Test: Service pages work correctly
Task 18: Verify service content has correct entity_type and json_blocks
"""
# Create service content manually to test structure
service_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Service',
html_content='<p>Service content</p>',
entity_type='service',
json_blocks=[
{
'type': 'service_overview',
'heading': 'Service Overview',
'content': 'Service description'
},
{
'type': 'benefits',
'heading': 'Benefits',
'items': ['Benefit 1', 'Benefit 2']
},
{
'type': 'process',
'heading': 'Our Process',
'steps': ['Step 1', 'Step 2']
}
],
structure_data={
'service_type': 'consulting',
'duration': '3-6 months',
'target_market': 'Enterprise'
},
word_count=1800,
status='draft'
)
# Verify structure
self.assertEqual(service_content.entity_type, 'service')
self.assertIsNotNone(service_content.json_blocks)
self.assertEqual(len(service_content.json_blocks), 3)
self.assertEqual(service_content.json_blocks[0]['type'], 'service_overview')
self.assertIsNotNone(service_content.structure_data)
self.assertEqual(service_content.structure_data['service_type'], 'consulting')
def test_taxonomy_content_has_correct_structure(self):
"""
Test: Taxonomy pages work correctly
Task 19: Verify taxonomy content has correct entity_type and json_blocks
"""
# Create taxonomy content manually to test structure
taxonomy_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Taxonomy',
html_content='<p>Taxonomy content</p>',
entity_type='taxonomy',
json_blocks=[
{
'type': 'taxonomy_overview',
'heading': 'Taxonomy Overview',
'content': 'Taxonomy description'
},
{
'type': 'categories',
'heading': 'Categories',
'items': [
{
'name': 'Category 1',
'description': 'Category description',
'subcategories': ['Subcat 1', 'Subcat 2']
}
]
},
{
'type': 'tags',
'heading': 'Tags',
'items': ['Tag 1', 'Tag 2', 'Tag 3']
}
],
structure_data={
'taxonomy_type': 'product_categories',
'item_count': 10,
'hierarchy_levels': 3
},
word_count=1200,
status='draft'
)
# Verify structure
self.assertEqual(taxonomy_content.entity_type, 'taxonomy')
self.assertIsNotNone(taxonomy_content.json_blocks)
self.assertEqual(len(taxonomy_content.json_blocks), 3)
self.assertEqual(taxonomy_content.json_blocks[0]['type'], 'taxonomy_overview')
self.assertIsNotNone(taxonomy_content.structure_data)
self.assertEqual(taxonomy_content.structure_data['taxonomy_type'], 'product_categories')

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"""
Integration Domain
Phase 6: Site Integration & Multi-Destination Publishing
"""

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"""
Integration App Configuration
"""
from django.apps import AppConfig
class IntegrationConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'igny8_core.business.integration'
label = 'integration'
verbose_name = 'Integration'

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# Generated manually for Phase 6: Integration System
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('igny8_core_auth', '0014_remove_plan_operation_limits_phase0'),
]
operations = [
migrations.CreateModel(
name='SiteIntegration',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_at', models.DateTimeField(auto_now_add=True, db_index=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('platform', models.CharField(choices=[('wordpress', 'WordPress'), ('shopify', 'Shopify'), ('custom', 'Custom API')], db_index=True, help_text="Platform name: 'wordpress', 'shopify', 'custom'", max_length=50)),
('platform_type', models.CharField(choices=[('cms', 'CMS'), ('ecommerce', 'Ecommerce'), ('custom_api', 'Custom API')], default='cms', help_text="Platform type: 'cms', 'ecommerce', 'custom_api'", max_length=50)),
('config_json', models.JSONField(default=dict, help_text='Platform-specific configuration (URLs, endpoints, etc.)')),
('credentials_json', models.JSONField(default=dict, help_text='Encrypted credentials (API keys, tokens, etc.)')),
('is_active', models.BooleanField(db_index=True, default=True, help_text='Whether this integration is active')),
('sync_enabled', models.BooleanField(default=False, help_text='Whether two-way sync is enabled')),
('last_sync_at', models.DateTimeField(blank=True, help_text='Last successful sync timestamp', null=True)),
('sync_status', models.CharField(choices=[('success', 'Success'), ('failed', 'Failed'), ('pending', 'Pending'), ('syncing', 'Syncing')], db_index=True, default='pending', help_text='Current sync status', max_length=20)),
('sync_error', models.TextField(blank=True, help_text='Last sync error message', null=True)),
('account', models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.tenant')),
('site', models.ForeignKey(help_text='Site this integration belongs to', on_delete=django.db.models.deletion.CASCADE, related_name='integrations', to='igny8_core_auth.site')),
],
options={
'db_table': 'igny8_site_integrations',
'ordering': ['-created_at'],
},
),
migrations.AddIndex(
model_name='siteintegration',
index=models.Index(fields=['site', 'platform'], name='igny8_integ_site_pl_123abc_idx'),
),
migrations.AddIndex(
model_name='siteintegration',
index=models.Index(fields=['site', 'is_active'], name='igny8_integ_site_is_456def_idx'),
),
migrations.AddIndex(
model_name='siteintegration',
index=models.Index(fields=['account', 'platform'], name='igny8_integ_account_789ghi_idx'),
),
migrations.AddIndex(
model_name='siteintegration',
index=models.Index(fields=['sync_status'], name='igny8_integ_sync_st_012jkl_idx'),
),
migrations.AlterUniqueTogether(
name='siteintegration',
unique_together={('site', 'platform')},
),
]

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"""
Integration Migrations
"""

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"""
Integration Models
Phase 6: Site Integration & Multi-Destination Publishing
"""
from django.db import models
from django.core.validators import MinValueValidator
from igny8_core.auth.models import AccountBaseModel
class SiteIntegration(AccountBaseModel):
"""
Store integration configurations for sites.
Each site can have multiple integrations (WordPress, Shopify, etc.).
"""
PLATFORM_CHOICES = [
('wordpress', 'WordPress'),
('shopify', 'Shopify'),
('custom', 'Custom API'),
]
PLATFORM_TYPE_CHOICES = [
('cms', 'CMS'),
('ecommerce', 'Ecommerce'),
('custom_api', 'Custom API'),
]
SYNC_STATUS_CHOICES = [
('success', 'Success'),
('failed', 'Failed'),
('pending', 'Pending'),
('syncing', 'Syncing'),
]
site = models.ForeignKey(
'igny8_core_auth.Site',
on_delete=models.CASCADE,
related_name='integrations',
help_text="Site this integration belongs to"
)
platform = models.CharField(
max_length=50,
choices=PLATFORM_CHOICES,
db_index=True,
help_text="Platform name: 'wordpress', 'shopify', 'custom'"
)
platform_type = models.CharField(
max_length=50,
choices=PLATFORM_TYPE_CHOICES,
default='cms',
help_text="Platform type: 'cms', 'ecommerce', 'custom_api'"
)
config_json = models.JSONField(
default=dict,
help_text="Platform-specific configuration (URLs, endpoints, etc.)"
)
# Credentials stored as JSON (encryption handled at application level)
credentials_json = models.JSONField(
default=dict,
help_text="Encrypted credentials (API keys, tokens, etc.)"
)
is_active = models.BooleanField(
default=True,
db_index=True,
help_text="Whether this integration is active"
)
sync_enabled = models.BooleanField(
default=False,
help_text="Whether two-way sync is enabled"
)
last_sync_at = models.DateTimeField(
null=True,
blank=True,
help_text="Last successful sync timestamp"
)
sync_status = models.CharField(
max_length=20,
choices=SYNC_STATUS_CHOICES,
default='pending',
db_index=True,
help_text="Current sync status"
)
sync_error = models.TextField(
blank=True,
null=True,
help_text="Last sync error message"
)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'integration'
db_table = 'igny8_site_integrations'
ordering = ['-created_at']
unique_together = [['site', 'platform']]
indexes = [
models.Index(fields=['site', 'platform']),
models.Index(fields=['site', 'is_active']),
models.Index(fields=['account', 'platform']),
models.Index(fields=['sync_status']),
]
def __str__(self):
return f"{self.site.name} - {self.get_platform_display()}"
def get_credentials(self) -> dict:
"""
Get decrypted credentials.
In production, this should decrypt credentials_json.
For now, return as-is (encryption to be implemented).
"""
return self.credentials_json or {}
def set_credentials(self, credentials: dict):
"""
Set encrypted credentials.
In production, this should encrypt before storing.
For now, store as-is (encryption to be implemented).
"""
self.credentials_json = credentials

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"""
Integration Services
"""

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"""
Content Sync Service
Phase 6: Site Integration & Multi-Destination Publishing
Stage 4: Enhanced with taxonomy and product sync
Syncs content between IGNY8 and external platforms.
"""
import logging
from typing import Dict, Any, Optional, List
from igny8_core.business.integration.models import SiteIntegration
from igny8_core.utils.wordpress import WordPressClient
logger = logging.getLogger(__name__)
class ContentSyncService:
"""
Service for syncing content to/from external platforms.
"""
def sync_to_external(
self,
integration: SiteIntegration,
content_types: Optional[List[str]] = None
) -> Dict[str, Any]:
"""
Sync content from IGNY8 to external platform.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync (optional)
Returns:
dict: Sync result
"""
try:
if integration.platform == 'wordpress':
return self._sync_to_wordpress(integration, content_types)
elif integration.platform == 'shopify':
return self._sync_to_shopify(integration, content_types)
else:
return {
'success': False,
'error': f'Sync to {integration.platform} not implemented',
'synced_count': 0
}
except Exception as e:
logger.error(
f"[ContentSyncService] Error syncing to {integration.platform}: {str(e)}",
exc_info=True
)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def sync_from_external(
self,
integration: SiteIntegration,
content_types: Optional[List[str]] = None
) -> Dict[str, Any]:
"""
Sync content from external platform to IGNY8.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync (optional)
Returns:
dict: Sync result
"""
try:
if integration.platform == 'wordpress':
return self._sync_from_wordpress(integration, content_types)
elif integration.platform == 'shopify':
return self._sync_from_shopify(integration, content_types)
else:
return {
'success': False,
'error': f'Sync from {integration.platform} not implemented',
'synced_count': 0
}
except Exception as e:
logger.error(
f"[ContentSyncService] Error syncing from {integration.platform}: {str(e)}",
exc_info=True
)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _sync_to_wordpress(
self,
integration: SiteIntegration,
content_types: Optional[List[str]] = None
) -> Dict[str, Any]:
"""
Sync content from IGNY8 to WordPress.
Stage 4: Enhanced to sync taxonomies before content.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync
Returns:
dict: Sync result
"""
try:
# Get WordPress client
credentials = integration.get_credentials()
client = WordPressClient(
site_url=integration.config_json.get('site_url', ''),
username=credentials.get('username'),
app_password=credentials.get('app_password')
)
# Stage 4: Sync taxonomies first
taxonomy_result = self._sync_taxonomies_to_wordpress(integration, client)
# Sync content (posts/products)
from igny8_core.business.content.models import Content
from igny8_core.business.publishing.services.adapters.wordpress_adapter import WordPressAdapter
content_query = Content.objects.filter(
account=integration.account,
site=integration.site,
source='igny8',
status='publish'
)
if content_types:
content_query = content_query.filter(content_type__in=content_types)
synced_count = 0
adapter = WordPressAdapter()
destination_config = {
'site_url': integration.config_json.get('site_url', ''),
'username': credentials.get('username'),
'app_password': credentials.get('app_password'),
'status': 'publish'
}
for content in content_query[:100]: # Limit to 100 per sync
result = adapter.publish(content, destination_config)
if result.get('success'):
synced_count += 1
# Store external reference
if not content.metadata:
content.metadata = {}
content.metadata['wordpress_id'] = result.get('external_id')
content.save(update_fields=['metadata'])
return {
'success': True,
'synced_count': synced_count,
'taxonomies_synced': taxonomy_result.get('synced_count', 0),
'message': f'Synced {synced_count} content items and {taxonomy_result.get("synced_count", 0)} taxonomies'
}
except Exception as e:
logger.error(
f"[ContentSyncService] Error syncing to WordPress: {str(e)}",
exc_info=True
)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def sync_from_wordpress(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Sync content from WordPress to IGNY8.
Args:
integration: SiteIntegration instance
Returns:
dict: Sync result with synced_count
"""
try:
posts = self._fetch_wordpress_posts(integration)
synced_count = 0
from igny8_core.business.content.models import Content
for post in posts:
# Check if content already exists
content, created = Content.objects.get_or_create(
account=integration.account,
site=integration.site,
sector=integration.site.sectors.first() if hasattr(integration.site, 'sectors') else None,
title=post.get('title', ''),
source='wordpress',
defaults={
'html_content': post.get('content', ''),
'status': 'published' if post.get('status') == 'publish' else 'draft',
'metadata': {'wordpress_id': post.get('id')}
}
)
if not created:
# Update existing content
content.html_content = post.get('content', '')
content.status = 'published' if post.get('status') == 'publish' else 'draft'
if not content.metadata:
content.metadata = {}
content.metadata['wordpress_id'] = post.get('id')
content.save()
synced_count += 1
return {
'success': True,
'synced_count': synced_count
}
except Exception as e:
logger.error(
f"[ContentSyncService] Error syncing from WordPress: {str(e)}",
exc_info=True
)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _sync_from_wordpress(
self,
integration: SiteIntegration,
content_types: Optional[List[str]] = None
) -> Dict[str, Any]:
"""
Internal method for syncing from WordPress (used by sync_from_external).
Stage 4: Enhanced to sync taxonomies and products.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync
Returns:
dict: Sync result
"""
try:
# Get WordPress client
credentials = integration.get_credentials()
client = WordPressClient(
site_url=integration.config_json.get('site_url', ''),
username=credentials.get('username'),
app_password=credentials.get('app_password')
)
# Stage 4: Sync taxonomies first
taxonomy_result = self._sync_taxonomies_from_wordpress(integration, client)
# Sync posts
posts_result = self.sync_from_wordpress(integration)
# Sync WooCommerce products if available
products_result = self._sync_products_from_wordpress(integration, client)
total_synced = (
posts_result.get('synced_count', 0) +
products_result.get('synced_count', 0)
)
return {
'success': True,
'synced_count': total_synced,
'taxonomies_synced': taxonomy_result.get('synced_count', 0),
'posts_synced': posts_result.get('synced_count', 0),
'products_synced': products_result.get('synced_count', 0),
}
except Exception as e:
logger.error(
f"[ContentSyncService] Error syncing from WordPress: {str(e)}",
exc_info=True
)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _fetch_wordpress_posts(
self,
integration: SiteIntegration
) -> List[Dict[str, Any]]:
"""
Fetch posts from WordPress.
Args:
integration: SiteIntegration instance
Returns:
List of post dictionaries
"""
try:
credentials = integration.get_credentials()
client = WordPressClient(
site_url=integration.config_json.get('site_url', ''),
username=credentials.get('username'),
app_password=credentials.get('app_password')
)
# Fetch posts via WordPress REST API
import requests
response = client.session.get(
f"{client.api_base}/posts",
params={'per_page': 100, 'status': 'publish'}
)
if response.status_code == 200:
posts = response.json()
return [
{
'id': post.get('id'),
'title': post.get('title', {}).get('rendered', ''),
'content': post.get('content', {}).get('rendered', ''),
'status': post.get('status', 'publish'),
'categories': post.get('categories', []),
'tags': post.get('tags', [])
}
for post in posts
]
return []
except Exception as e:
logger.error(f"Error fetching WordPress posts: {e}")
return []
# Stage 4: Taxonomy Sync Methods
def _sync_taxonomies_from_wordpress(
self,
integration: SiteIntegration,
client: WordPressClient
) -> Dict[str, Any]:
"""
Sync taxonomies from WordPress to IGNY8.
Args:
integration: SiteIntegration instance
client: WordPressClient instance
Returns:
dict: Sync result with synced_count
"""
try:
from igny8_core.business.site_building.models import SiteBlueprint
from igny8_core.business.site_building.services.taxonomy_service import TaxonomyService
# Get or create site blueprint for this site
blueprint = SiteBlueprint.objects.filter(
account=integration.account,
site=integration.site
).first()
if not blueprint:
logger.warning(f"No blueprint found for site {integration.site.id}, skipping taxonomy sync")
return {'success': True, 'synced_count': 0}
taxonomy_service = TaxonomyService()
synced_count = 0
# Sync WordPress categories
categories = client.get_categories(per_page=100)
category_records = [
{
'name': cat['name'],
'slug': cat['slug'],
'description': cat.get('description', ''),
'taxonomy_type': 'blog_category',
'external_reference': str(cat['id']),
'metadata': {'parent': cat.get('parent', 0)}
}
for cat in categories
]
if category_records:
taxonomy_service.import_from_external(
blueprint,
category_records,
default_type='blog_category'
)
synced_count += len(category_records)
# Sync WordPress tags
tags = client.get_tags(per_page=100)
tag_records = [
{
'name': tag['name'],
'slug': tag['slug'],
'description': tag.get('description', ''),
'taxonomy_type': 'blog_tag',
'external_reference': str(tag['id'])
}
for tag in tags
]
if tag_records:
taxonomy_service.import_from_external(
blueprint,
tag_records,
default_type='blog_tag'
)
synced_count += len(tag_records)
# Sync WooCommerce product categories if available
try:
product_categories = client.get_product_categories(per_page=100)
product_category_records = [
{
'name': cat['name'],
'slug': cat['slug'],
'description': cat.get('description', ''),
'taxonomy_type': 'product_category',
'external_reference': f"wc_cat_{cat['id']}",
'metadata': {'parent': cat.get('parent', 0)}
}
for cat in product_categories
]
if product_category_records:
taxonomy_service.import_from_external(
blueprint,
product_category_records,
default_type='product_category'
)
synced_count += len(product_category_records)
except Exception as e:
logger.warning(f"WooCommerce not available or error fetching product categories: {e}")
return {
'success': True,
'synced_count': synced_count
}
except Exception as e:
logger.error(f"Error syncing taxonomies from WordPress: {e}", exc_info=True)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _sync_taxonomies_to_wordpress(
self,
integration: SiteIntegration,
client: WordPressClient
) -> Dict[str, Any]:
"""
Ensure taxonomies exist in WordPress before publishing content.
Args:
integration: SiteIntegration instance
client: WordPressClient instance
Returns:
dict: Sync result with synced_count
"""
try:
from igny8_core.business.site_building.models import SiteBlueprint, SiteBlueprintTaxonomy
# Get site blueprint
blueprint = SiteBlueprint.objects.filter(
account=integration.account,
site=integration.site
).first()
if not blueprint:
return {'success': True, 'synced_count': 0}
synced_count = 0
# Get taxonomies that don't have external_reference (not yet synced)
taxonomies = SiteBlueprintTaxonomy.objects.filter(
site_blueprint=blueprint,
external_reference__isnull=True
)
for taxonomy in taxonomies:
try:
if taxonomy.taxonomy_type in ['blog_category', 'product_category']:
result = client.create_category(
name=taxonomy.name,
slug=taxonomy.slug,
description=taxonomy.description
)
if result.get('success'):
taxonomy.external_reference = str(result.get('category_id'))
taxonomy.save(update_fields=['external_reference'])
synced_count += 1
elif taxonomy.taxonomy_type in ['blog_tag', 'product_tag']:
result = client.create_tag(
name=taxonomy.name,
slug=taxonomy.slug,
description=taxonomy.description
)
if result.get('success'):
taxonomy.external_reference = str(result.get('tag_id'))
taxonomy.save(update_fields=['external_reference'])
synced_count += 1
except Exception as e:
logger.warning(f"Error syncing taxonomy {taxonomy.id} to WordPress: {e}")
continue
return {
'success': True,
'synced_count': synced_count
}
except Exception as e:
logger.error(f"Error syncing taxonomies to WordPress: {e}", exc_info=True)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _sync_products_from_wordpress(
self,
integration: SiteIntegration,
client: WordPressClient
) -> Dict[str, Any]:
"""
Sync WooCommerce products from WordPress to IGNY8.
Args:
integration: SiteIntegration instance
client: WordPressClient instance
Returns:
dict: Sync result with synced_count
"""
try:
products = client.get_products(per_page=100)
synced_count = 0
from igny8_core.business.content.models import Content
for product in products:
content, created = Content.objects.get_or_create(
account=integration.account,
site=integration.site,
sector=integration.site.sectors.first() if hasattr(integration.site, 'sectors') else None,
title=product.get('name', ''),
source='wordpress',
defaults={
'html_content': product.get('description', ''),
'content_type': 'product',
'status': 'published' if product.get('status') == 'publish' else 'draft',
'metadata': {
'wordpress_id': product.get('id'),
'product_type': product.get('type'),
'sku': product.get('sku'),
'price': product.get('price'),
'regular_price': product.get('regular_price'),
'sale_price': product.get('sale_price'),
'categories': product.get('categories', []),
'tags': product.get('tags', []),
'attributes': product.get('attributes', [])
}
}
)
if not created:
content.html_content = product.get('description', '')
if not content.metadata:
content.metadata = {}
content.metadata.update({
'wordpress_id': product.get('id'),
'product_type': product.get('type'),
'sku': product.get('sku'),
'price': product.get('price'),
'regular_price': product.get('regular_price'),
'sale_price': product.get('sale_price'),
'categories': product.get('categories', []),
'tags': product.get('tags', []),
'attributes': product.get('attributes', [])
})
content.save()
synced_count += 1
return {
'success': True,
'synced_count': synced_count
}
except Exception as e:
logger.error(f"Error syncing products from WordPress: {e}", exc_info=True)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _sync_to_shopify(
self,
integration: SiteIntegration,
content_types: Optional[List[str]] = None
) -> Dict[str, Any]:
"""
Sync content from IGNY8 to Shopify.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync
Returns:
dict: Sync result
"""
# TODO: Implement Shopify sync
logger.info(f"[ContentSyncService] Syncing to Shopify for integration {integration.id}")
return {
'success': True,
'synced_count': 0,
'message': 'Shopify sync not yet implemented'
}
def sync_from_shopify(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Sync content from Shopify to IGNY8.
Args:
integration: SiteIntegration instance
Returns:
dict: Sync result with synced_count
"""
try:
products = self._fetch_shopify_products(integration)
synced_count = 0
from igny8_core.business.content.models import Content
for product in products:
# Create or update content from product
content, created = Content.objects.get_or_create(
account=integration.account,
site=integration.site,
sector=integration.site.sectors.first() if hasattr(integration.site, 'sectors') else None,
title=product.get('title', ''),
source='shopify',
defaults={
'html_content': product.get('body_html', ''),
'status': 'published',
'metadata': {'shopify_id': product.get('id')}
}
)
if not created:
content.html_content = product.get('body_html', '')
if not content.metadata:
content.metadata = {}
content.metadata['shopify_id'] = product.get('id')
content.save()
synced_count += 1
return {
'success': True,
'synced_count': synced_count
}
except Exception as e:
logger.error(
f"[ContentSyncService] Error syncing from Shopify: {str(e)}",
exc_info=True
)
return {
'success': False,
'error': str(e),
'synced_count': 0
}
def _sync_from_shopify(
self,
integration: SiteIntegration,
content_types: Optional[List[str]] = None
) -> Dict[str, Any]:
"""
Internal method for syncing from Shopify (used by sync_from_external).
Args:
integration: SiteIntegration instance
content_types: List of content types to sync
Returns:
dict: Sync result
"""
return self.sync_from_shopify(integration)
def _fetch_shopify_products(
self,
integration: SiteIntegration
) -> List[Dict[str, Any]]:
"""
Fetch products from Shopify.
Args:
integration: SiteIntegration instance
Returns:
List of product dictionaries
"""
# TODO: Implement actual Shopify API call
# For now, return empty list - tests will mock this
logger.info(f"[ContentSyncService] Fetching Shopify products for integration {integration.id}")
return []

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"""
Integration Service
Phase 6: Site Integration & Multi-Destination Publishing
Manages site integrations (WordPress, Shopify, etc.).
"""
import logging
from typing import Optional, Dict, Any
from igny8_core.business.integration.models import SiteIntegration
from igny8_core.auth.models import Site
logger = logging.getLogger(__name__)
class IntegrationService:
"""
Service for managing site integrations.
"""
def create_integration(
self,
site: Site,
platform: str,
config: Dict[str, Any],
credentials: Dict[str, Any],
platform_type: str = 'cms'
) -> SiteIntegration:
"""
Create a new site integration.
Args:
site: Site instance
platform: Platform name ('wordpress', 'shopify', 'custom')
config: Platform-specific configuration
credentials: Platform credentials (will be encrypted)
platform_type: Platform type ('cms', 'ecommerce', 'custom_api')
Returns:
SiteIntegration instance
"""
integration = SiteIntegration.objects.create(
account=site.account,
site=site,
platform=platform,
platform_type=platform_type,
config_json=config,
credentials_json=credentials,
is_active=True
)
logger.info(
f"[IntegrationService] Created integration {integration.id} for site {site.id}, platform {platform}"
)
return integration
def update_integration(
self,
integration: SiteIntegration,
config: Optional[Dict[str, Any]] = None,
credentials: Optional[Dict[str, Any]] = None,
is_active: Optional[bool] = None
) -> SiteIntegration:
"""
Update an existing integration.
Args:
integration: SiteIntegration instance
config: Updated configuration (optional)
credentials: Updated credentials (optional)
is_active: Active status (optional)
Returns:
Updated SiteIntegration instance
"""
if config is not None:
integration.config_json = config
if credentials is not None:
integration.set_credentials(credentials)
if is_active is not None:
integration.is_active = is_active
integration.save()
logger.info(f"[IntegrationService] Updated integration {integration.id}")
return integration
def delete_integration(self, integration: SiteIntegration):
"""
Delete an integration.
Args:
integration: SiteIntegration instance
"""
integration_id = integration.id
integration.delete()
logger.info(f"[IntegrationService] Deleted integration {integration_id}")
def get_integration(
self,
site: Site,
platform: str
) -> Optional[SiteIntegration]:
"""
Get integration for a site and platform.
Args:
site: Site instance
platform: Platform name
Returns:
SiteIntegration or None
"""
return SiteIntegration.objects.filter(
site=site,
platform=platform,
is_active=True
).first()
def list_integrations(
self,
site: Site,
active_only: bool = True
) -> list:
"""
List all integrations for a site.
Args:
site: Site instance
active_only: Only return active integrations
Returns:
List of SiteIntegration instances
"""
queryset = SiteIntegration.objects.filter(site=site)
if active_only:
queryset = queryset.filter(is_active=True)
return list(queryset.order_by('-created_at'))
def get_integrations_for_site(
self,
site: Site
):
"""
Get integrations for a site (alias for list_integrations for compatibility).
Args:
site: Site instance
Returns:
QuerySet of SiteIntegration instances
"""
return SiteIntegration.objects.filter(site=site, is_active=True)
def test_connection(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Test connection to the integrated platform.
Args:
integration: SiteIntegration instance
Returns:
dict: {
'success': bool,
'message': str,
'details': dict
}
Raises:
NotImplementedError: For platforms that don't have connection testing implemented
"""
try:
if integration.platform == 'wordpress':
return self._test_wordpress_connection(integration)
elif integration.platform == 'shopify':
return self._test_shopify_connection(integration)
else:
raise NotImplementedError(f'Connection testing not implemented for platform: {integration.platform}')
except NotImplementedError:
raise
except Exception as e:
logger.error(
f"[IntegrationService] Error testing connection for integration {integration.id}: {str(e)}",
exc_info=True
)
return {
'success': False,
'message': str(e),
'details': {}
}
def _test_wordpress_connection(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Test WordPress connection.
Args:
integration: SiteIntegration instance
Returns:
dict: Connection test result
"""
from igny8_core.utils.wordpress import WordPressClient
config = integration.config_json
credentials = integration.get_credentials()
site_url = config.get('site_url')
username = credentials.get('username')
app_password = credentials.get('app_password')
if not site_url:
return {
'success': False,
'message': 'WordPress site URL not configured',
'details': {}
}
try:
client = WordPressClient(site_url, username, app_password)
result = client.test_connection()
return result
except Exception as e:
return {
'success': False,
'message': f'WordPress connection failed: {str(e)}',
'details': {}
}
def _test_shopify_connection(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Test Shopify connection.
Args:
integration: SiteIntegration instance
Returns:
dict: Connection test result
"""
# TODO: Implement Shopify connection testing
return {
'success': False,
'message': 'Shopify connection testing not yet implemented',
'details': {}
}

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"""
Sync Health Service
Stage 4: Track sync health, mismatches, and logs
Provides health monitoring for site integrations.
"""
import logging
from typing import Dict, Any, Optional, List
from datetime import datetime, timedelta
from django.utils import timezone
from igny8_core.business.integration.models import SiteIntegration
logger = logging.getLogger(__name__)
class SyncHealthService:
"""
Service for tracking sync health and detecting mismatches.
"""
def get_sync_status(
self,
site_id: int,
integration_id: Optional[int] = None
) -> Dict[str, Any]:
"""
Get sync status for a site or specific integration.
Args:
site_id: Site ID
integration_id: Optional integration ID (if None, returns all integrations)
Returns:
dict: {
'site_id': int,
'integrations': [
{
'id': int,
'platform': str,
'status': str,
'last_sync_at': datetime,
'sync_enabled': bool,
'is_healthy': bool,
'error': str,
'mismatch_count': int
}
],
'overall_status': str, # 'healthy', 'warning', 'error'
'last_sync_at': datetime
}
"""
try:
integrations_query = SiteIntegration.objects.filter(
site_id=site_id,
is_active=True
)
if integration_id:
integrations_query = integrations_query.filter(id=integration_id)
integrations = []
overall_healthy = True
last_sync = None
for integration in integrations_query:
mismatch_count = self._count_mismatches(integration)
is_healthy = (
integration.sync_status == 'success' and
mismatch_count == 0 and
(not integration.sync_error or integration.sync_error == '')
)
if not is_healthy:
overall_healthy = False
if integration.last_sync_at:
if last_sync is None or integration.last_sync_at > last_sync:
last_sync = integration.last_sync_at
integrations.append({
'id': integration.id,
'platform': integration.platform,
'status': integration.sync_status,
'last_sync_at': integration.last_sync_at.isoformat() if integration.last_sync_at else None,
'sync_enabled': integration.sync_enabled,
'is_healthy': is_healthy,
'error': integration.sync_error,
'mismatch_count': mismatch_count
})
# Determine overall status
if overall_healthy:
overall_status = 'healthy'
elif any(i['status'] == 'failed' for i in integrations):
overall_status = 'error'
else:
overall_status = 'warning'
return {
'site_id': site_id,
'integrations': integrations,
'overall_status': overall_status,
'last_sync_at': last_sync.isoformat() if last_sync else None
}
except Exception as e:
logger.error(f"Error getting sync status: {e}", exc_info=True)
return {
'site_id': site_id,
'integrations': [],
'overall_status': 'error',
'last_sync_at': None,
'error': str(e)
}
def get_mismatches(
self,
site_id: int,
integration_id: Optional[int] = None
) -> Dict[str, Any]:
"""
Get detailed mismatch information.
Args:
site_id: Site ID
integration_id: Optional integration ID
Returns:
dict: {
'taxonomies': {
'missing_in_wordpress': List[Dict],
'missing_in_igny8': List[Dict],
'mismatched': List[Dict]
},
'products': {
'missing_in_wordpress': List[Dict],
'missing_in_igny8': List[Dict]
},
'posts': {
'missing_in_wordpress': List[Dict],
'missing_in_igny8': List[Dict]
}
}
"""
try:
integrations_query = SiteIntegration.objects.filter(
site_id=site_id,
is_active=True
)
if integration_id:
integrations_query = integrations_query.filter(id=integration_id)
all_mismatches = {
'taxonomies': {
'missing_in_wordpress': [],
'missing_in_igny8': [],
'mismatched': []
},
'products': {
'missing_in_wordpress': [],
'missing_in_igny8': []
},
'posts': {
'missing_in_wordpress': [],
'missing_in_igny8': []
}
}
for integration in integrations_query:
if integration.platform == 'wordpress':
mismatches = self._detect_wordpress_mismatches(integration)
# Merge mismatches
for key in all_mismatches:
if key in mismatches:
all_mismatches[key]['missing_in_wordpress'].extend(
mismatches[key].get('missing_in_wordpress', [])
)
all_mismatches[key]['missing_in_igny8'].extend(
mismatches[key].get('missing_in_igny8', [])
)
if 'mismatched' in mismatches[key]:
all_mismatches[key]['mismatched'].extend(
mismatches[key]['mismatched']
)
return all_mismatches
except Exception as e:
logger.error(f"Error getting mismatches: {e}", exc_info=True)
return {
'taxonomies': {'missing_in_wordpress': [], 'missing_in_igny8': [], 'mismatched': []},
'products': {'missing_in_wordpress': [], 'missing_in_igny8': []},
'posts': {'missing_in_wordpress': [], 'missing_in_igny8': []},
'error': str(e)
}
def get_sync_logs(
self,
site_id: int,
integration_id: Optional[int] = None,
limit: int = 100
) -> List[Dict[str, Any]]:
"""
Get sync logs for a site or integration.
Args:
site_id: Site ID
integration_id: Optional integration ID
limit: Maximum number of logs to return
Returns:
List of log dictionaries
"""
try:
integrations_query = SiteIntegration.objects.filter(
site_id=site_id,
is_active=True
)
if integration_id:
integrations_query = integrations_query.filter(id=integration_id)
logs = []
for integration in integrations_query:
# Use SiteIntegration fields as log entries
if integration.last_sync_at:
logs.append({
'integration_id': integration.id,
'platform': integration.platform,
'timestamp': integration.last_sync_at.isoformat(),
'status': integration.sync_status,
'error': integration.sync_error,
'duration': None, # Not tracked in current model
'items_processed': None # Not tracked in current model
})
# Sort by timestamp descending
logs.sort(key=lambda x: x['timestamp'] or '', reverse=True)
return logs[:limit]
except Exception as e:
logger.error(f"Error getting sync logs: {e}", exc_info=True)
return []
def record_sync_run(
self,
integration_id: int,
result: Dict[str, Any]
) -> None:
"""
Record a sync run result.
Args:
integration_id: Integration ID
result: Sync result dict from ContentSyncService
"""
try:
integration = SiteIntegration.objects.get(id=integration_id)
if result.get('success'):
integration.sync_status = 'success'
integration.last_sync_at = timezone.now()
integration.sync_error = None
else:
integration.sync_status = 'failed'
integration.sync_error = result.get('error', 'Unknown error')
integration.save(update_fields=['sync_status', 'last_sync_at', 'sync_error', 'updated_at'])
logger.info(
f"[SyncHealthService] Recorded sync run for integration {integration_id}: "
f"status={integration.sync_status}, synced_count={result.get('synced_count', 0)}"
)
except SiteIntegration.DoesNotExist:
logger.warning(f"Integration {integration_id} not found for sync recording")
except Exception as e:
logger.error(f"Error recording sync run: {e}", exc_info=True)
def _count_mismatches(self, integration: SiteIntegration) -> int:
"""
Count total mismatches for an integration.
Args:
integration: SiteIntegration instance
Returns:
int: Total mismatch count
"""
try:
if integration.platform != 'wordpress':
return 0
mismatches = self._detect_wordpress_mismatches(integration)
count = 0
for category in mismatches.values():
count += len(category.get('missing_in_wordpress', []))
count += len(category.get('missing_in_igny8', []))
count += len(category.get('mismatched', []))
return count
except Exception as e:
logger.warning(f"Error counting mismatches: {e}")
return 0
def _detect_wordpress_mismatches(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Detect mismatches between IGNY8 and WordPress.
Args:
integration: SiteIntegration instance
Returns:
dict: Mismatch details
"""
mismatches = {
'taxonomies': {
'missing_in_wordpress': [],
'missing_in_igny8': [],
'mismatched': []
},
'products': {
'missing_in_wordpress': [],
'missing_in_igny8': []
},
'posts': {
'missing_in_wordpress': [],
'missing_in_igny8': []
}
}
try:
from igny8_core.utils.wordpress import WordPressClient
from igny8_core.business.site_building.models import SiteBlueprint, SiteBlueprintTaxonomy
from igny8_core.business.content.models import Content
credentials = integration.get_credentials()
client = WordPressClient(
site_url=integration.config_json.get('site_url', ''),
username=credentials.get('username'),
app_password=credentials.get('app_password')
)
# Get site blueprint
blueprint = SiteBlueprint.objects.filter(
account=integration.account,
site=integration.site
).first()
if not blueprint:
return mismatches
# Check taxonomy mismatches
# Get IGNY8 taxonomies
igny8_taxonomies = SiteBlueprintTaxonomy.objects.filter(
site_blueprint=blueprint
)
# Get WordPress categories
wp_categories = client.get_categories(per_page=100)
wp_category_ids = {str(cat['id']): cat for cat in wp_categories}
# Get WordPress tags
wp_tags = client.get_tags(per_page=100)
wp_tag_ids = {str(tag['id']): tag for tag in wp_tags}
for taxonomy in igny8_taxonomies:
if taxonomy.external_reference:
# Check if still exists in WordPress
if taxonomy.taxonomy_type in ['blog_category', 'product_category']:
if taxonomy.external_reference not in wp_category_ids:
mismatches['taxonomies']['missing_in_wordpress'].append({
'id': taxonomy.id,
'name': taxonomy.name,
'type': taxonomy.taxonomy_type,
'external_reference': taxonomy.external_reference
})
elif taxonomy.taxonomy_type in ['blog_tag', 'product_tag']:
if taxonomy.external_reference not in wp_tag_ids:
mismatches['taxonomies']['missing_in_wordpress'].append({
'id': taxonomy.id,
'name': taxonomy.name,
'type': taxonomy.taxonomy_type,
'external_reference': taxonomy.external_reference
})
else:
# Taxonomy exists in IGNY8 but not synced to WordPress
mismatches['taxonomies']['missing_in_wordpress'].append({
'id': taxonomy.id,
'name': taxonomy.name,
'type': taxonomy.taxonomy_type
})
# Check for WordPress taxonomies not in IGNY8
for cat in wp_categories:
if not SiteBlueprintTaxonomy.objects.filter(
site_blueprint=blueprint,
external_reference=str(cat['id'])
).exists():
mismatches['taxonomies']['missing_in_igny8'].append({
'name': cat['name'],
'slug': cat['slug'],
'type': 'blog_category',
'external_reference': str(cat['id'])
})
for tag in wp_tags:
if not SiteBlueprintTaxonomy.objects.filter(
site_blueprint=blueprint,
external_reference=str(tag['id'])
).exists():
mismatches['taxonomies']['missing_in_igny8'].append({
'name': tag['name'],
'slug': tag['slug'],
'type': 'blog_tag',
'external_reference': str(tag['id'])
})
# Check content mismatches (basic check)
igny8_content = Content.objects.filter(
account=integration.account,
site=integration.site,
source='igny8',
status='publish'
)
for content in igny8_content[:50]: # Limit check
if content.metadata and content.metadata.get('wordpress_id'):
# Content should exist in WordPress (would need to check)
# For now, just note if metadata exists
pass
else:
# Content not synced to WordPress
mismatches['posts']['missing_in_wordpress'].append({
'id': content.id,
'title': content.title,
'type': content.content_type
})
except Exception as e:
logger.warning(f"Error detecting WordPress mismatches: {e}")
return mismatches

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"""
Sync Service
Phase 6: Site Integration & Multi-Destination Publishing
Handles two-way synchronization between IGNY8 and external platforms.
"""
import logging
from typing import Dict, Any, Optional
from datetime import datetime
from igny8_core.business.integration.models import SiteIntegration
logger = logging.getLogger(__name__)
class SyncService:
"""
Service for handling two-way sync between IGNY8 and external platforms.
"""
def sync(
self,
integration: SiteIntegration,
direction: str = 'both',
content_types: Optional[list] = None
) -> Dict[str, Any]:
"""
Perform synchronization.
Stage 4: Enhanced to record sync runs for health tracking.
Args:
integration: SiteIntegration instance
direction: 'both', 'to_external', 'from_external'
content_types: List of content types to sync (optional, syncs all if None)
Returns:
dict: Sync result
"""
if not integration.sync_enabled:
return {
'success': False,
'message': 'Sync is not enabled for this integration',
'synced_count': 0
}
# Update sync status
integration.sync_status = 'syncing'
integration.save(update_fields=['sync_status', 'updated_at'])
try:
if direction in ('both', 'to_external'):
# Sync from IGNY8 to external platform
to_result = self._sync_to_external(integration, content_types)
else:
to_result = {'success': True, 'synced_count': 0}
if direction in ('both', 'from_external'):
# Sync from external platform to IGNY8
from_result = self._sync_from_external(integration, content_types)
else:
from_result = {'success': True, 'synced_count': 0}
# Update sync status
if to_result.get('success') and from_result.get('success'):
integration.sync_status = 'success'
integration.sync_error = None
else:
integration.sync_status = 'failed'
integration.sync_error = (
to_result.get('error', '') + ' ' + from_result.get('error', '')
).strip()
integration.last_sync_at = datetime.now()
integration.save(update_fields=['sync_status', 'sync_error', 'last_sync_at', 'updated_at'])
total_synced = to_result.get('synced_count', 0) + from_result.get('synced_count', 0)
result = {
'success': to_result.get('success') and from_result.get('success'),
'synced_count': total_synced,
'to_external': to_result,
'from_external': from_result
}
# Stage 4: Record sync run for health tracking
try:
from igny8_core.business.integration.services.sync_health_service import SyncHealthService
sync_health_service = SyncHealthService()
sync_health_service.record_sync_run(integration.id, result)
except Exception as e:
logger.warning(f"Failed to record sync run: {e}")
return result
except Exception as e:
logger.error(
f"[SyncService] Error syncing integration {integration.id}: {str(e)}",
exc_info=True
)
integration.sync_status = 'failed'
integration.sync_error = str(e)
integration.save(update_fields=['sync_status', 'sync_error', 'updated_at'])
error_result = {
'success': False,
'error': str(e),
'synced_count': 0
}
# Stage 4: Record failed sync run
try:
from igny8_core.business.integration.services.sync_health_service import SyncHealthService
sync_health_service = SyncHealthService()
sync_health_service.record_sync_run(integration.id, error_result)
except Exception as e:
logger.warning(f"Failed to record sync run: {e}")
return error_result
def _sync_to_external(
self,
integration: SiteIntegration,
content_types: Optional[list] = None
) -> Dict[str, Any]:
"""
Sync content from IGNY8 to external platform.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync
Returns:
dict: Sync result
"""
# This will be implemented by ContentSyncService
from igny8_core.business.integration.services.content_sync_service import ContentSyncService
sync_service = ContentSyncService()
return sync_service.sync_to_external(integration, content_types)
def _sync_from_external(
self,
integration: SiteIntegration,
content_types: Optional[list] = None
) -> Dict[str, Any]:
"""
Sync content from external platform to IGNY8.
Args:
integration: SiteIntegration instance
content_types: List of content types to sync
Returns:
dict: Sync result
"""
# This will be implemented by ContentSyncService
from igny8_core.business.integration.services.content_sync_service import ContentSyncService
sync_service = ContentSyncService()
return sync_service.sync_from_external(integration, content_types)
def get_sync_status(
self,
integration: SiteIntegration
) -> Dict[str, Any]:
"""
Get current sync status for an integration.
Args:
integration: SiteIntegration instance
Returns:
dict: Sync status information
"""
return {
'sync_enabled': integration.sync_enabled,
'sync_status': integration.sync_status,
'last_sync_at': integration.last_sync_at.isoformat() if integration.last_sync_at else None,
'sync_error': integration.sync_error
}

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"""
Integration Tests
Phase 6: Site Integration & Multi-Destination Publishing
"""

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"""
Tests for ContentSyncService
Phase 6: Site Integration & Multi-Destination Publishing
"""
from django.test import TestCase
from unittest.mock import patch, Mock
from igny8_core.auth.models import Account, Site, Sector, User, Plan, Industry, IndustrySector
from igny8_core.business.integration.models import SiteIntegration
from igny8_core.business.integration.services.content_sync_service import ContentSyncService
from igny8_core.business.content.models import Content
class ContentSyncServiceTestCase(TestCase):
"""Test cases for ContentSyncService"""
def setUp(self):
"""Set up test data"""
# Create plan first
self.plan = Plan.objects.create(
name="Test Plan",
slug="test-plan",
price=0,
credits_per_month=1000
)
# Create user first (Account needs owner)
self.user = User.objects.create_user(
username='testuser',
email='test@test.com',
password='testpass123',
role='owner'
)
# Create account with owner
self.account = Account.objects.create(
name="Test Account",
slug="test-account",
plan=self.plan,
owner=self.user
)
# Update user to have account
self.user.account = self.account
self.user.save()
# Create industry and sector
self.industry = Industry.objects.create(
name="Test Industry",
slug="test-industry"
)
self.industry_sector = IndustrySector.objects.create(
industry=self.industry,
name="Test Sector",
slug="test-sector"
)
self.site = Site.objects.create(
account=self.account,
name="Test Site",
slug="test-site",
industry=self.industry
)
self.sector = Sector.objects.create(
account=self.account,
site=self.site,
industry_sector=self.industry_sector,
name="Test Sector",
slug="test-sector"
)
self.integration = SiteIntegration.objects.create(
account=self.account,
site=self.site,
platform='wordpress',
platform_type='cms',
sync_enabled=True
)
self.service = ContentSyncService()
def test_sync_content_from_wordpress_creates_content(self):
"""Test: WordPress sync works (when plugin connected)"""
mock_posts = [
{
'id': 1,
'title': 'Test Post',
'content': '<p>Test content</p>',
'status': 'publish',
}
]
with patch.object(self.service, '_fetch_wordpress_posts') as mock_fetch:
mock_fetch.return_value = mock_posts
result = self.service.sync_from_wordpress(self.integration)
self.assertTrue(result.get('success'))
self.assertEqual(result.get('synced_count'), 1)
# Verify content was created
content = Content.objects.filter(site=self.site).first()
self.assertIsNotNone(content)
self.assertEqual(content.title, 'Test Post')
self.assertEqual(content.source, 'wordpress')
def test_sync_content_from_shopify_creates_content(self):
"""Test: Content sync works"""
mock_products = [
{
'id': 1,
'title': 'Test Product',
'body_html': '<p>Product description</p>',
}
]
with patch.object(self.service, '_fetch_shopify_products') as mock_fetch:
mock_fetch.return_value = mock_products
result = self.service.sync_from_shopify(self.integration)
self.assertTrue(result.get('success'))
self.assertEqual(result.get('synced_count'), 1)
def test_sync_handles_duplicate_content(self):
"""Test: Content sync works"""
# Create existing content
Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Post",
html_content="<p>Existing</p>",
source='wordpress'
)
mock_posts = [
{
'id': 1,
'title': 'Test Post',
'content': '<p>Updated content</p>',
}
]
with patch.object(self.service, '_fetch_wordpress_posts') as mock_fetch:
mock_fetch.return_value = mock_posts
result = self.service.sync_from_wordpress(self.integration)
# Should update existing, not create duplicate
content_count = Content.objects.filter(
site=self.site,
title='Test Post'
).count()
self.assertEqual(content_count, 1)

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"""
Tests for IntegrationService
Phase 6: Site Integration & Multi-Destination Publishing
"""
from django.test import TestCase
from igny8_core.auth.models import Account, Site, Sector, User, Plan, Industry, IndustrySector
from igny8_core.business.integration.models import SiteIntegration
from igny8_core.business.integration.services.integration_service import IntegrationService
class IntegrationServiceTestCase(TestCase):
"""Test cases for IntegrationService"""
def setUp(self):
"""Set up test data"""
# Create plan first
self.plan = Plan.objects.create(
name="Test Plan",
slug="test-plan",
price=0,
credits_per_month=1000
)
# Create user first (Account needs owner)
self.user = User.objects.create_user(
username='testuser',
email='test@test.com',
password='testpass123',
role='owner'
)
# Create account with owner
self.account = Account.objects.create(
name="Test Account",
slug="test-account",
plan=self.plan,
owner=self.user
)
# Update user to have account
self.user.account = self.account
self.user.save()
# Create industry and sector
self.industry = Industry.objects.create(
name="Test Industry",
slug="test-industry"
)
self.industry_sector = IndustrySector.objects.create(
industry=self.industry,
name="Test Sector",
slug="test-sector"
)
self.site = Site.objects.create(
account=self.account,
name="Test Site",
slug="test-site",
industry=self.industry
)
self.sector = Sector.objects.create(
account=self.account,
site=self.site,
industry_sector=self.industry_sector,
name="Test Sector",
slug="test-sector"
)
self.service = IntegrationService()
def test_create_integration_stores_config(self):
"""Test: Site integrations work correctly"""
integration = self.service.create_integration(
site=self.site,
platform='wordpress',
config={'url': 'https://example.com'},
credentials={'api_key': 'test-key'},
platform_type='cms'
)
self.assertIsNotNone(integration)
self.assertEqual(integration.platform, 'wordpress')
self.assertEqual(integration.platform_type, 'cms')
self.assertEqual(integration.config_json.get('url'), 'https://example.com')
self.assertTrue(integration.is_active)
def test_get_integrations_for_site_returns_all(self):
"""Test: Site integrations work correctly"""
self.service.create_integration(
site=self.site,
platform='wordpress',
config={},
credentials={}
)
self.service.create_integration(
site=self.site,
platform='shopify',
config={},
credentials={}
)
integrations = self.service.get_integrations_for_site(self.site)
self.assertEqual(integrations.count(), 2)
platforms = [i.platform for i in integrations]
self.assertIn('wordpress', platforms)
self.assertIn('shopify', platforms)
def test_test_connection_validates_credentials(self):
"""Test: Site integrations work correctly"""
# Test with unsupported platform to verify NotImplementedError is raised
integration = self.service.create_integration(
site=self.site,
platform='unsupported_platform',
config={'url': 'https://example.com'},
credentials={'api_key': 'test-key'}
)
with self.assertRaises(NotImplementedError):
# Connection testing should raise NotImplementedError for unsupported platforms
self.service.test_connection(integration)
def test_update_integration_updates_fields(self):
"""Test: Site integrations work correctly"""
integration = self.service.create_integration(
site=self.site,
platform='wordpress',
config={'url': 'https://old.com'},
credentials={}
)
updated = self.service.update_integration(
integration,
config={'url': 'https://new.com'},
is_active=False
)
self.assertEqual(updated.config_json.get('url'), 'https://new.com')
self.assertFalse(updated.is_active)

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"""
Tests for SyncService
Phase 6: Site Integration & Multi-Destination Publishing
"""
from django.test import TestCase
from django.utils import timezone
from unittest.mock import patch, Mock
from igny8_core.auth.models import Account, Site, Sector, User, Plan, Industry, IndustrySector
from igny8_core.business.integration.models import SiteIntegration
from igny8_core.business.integration.services.sync_service import SyncService
class SyncServiceTestCase(TestCase):
"""Test cases for SyncService"""
def setUp(self):
"""Set up test data"""
# Create plan first
self.plan = Plan.objects.create(
name="Test Plan",
slug="test-plan",
price=0,
credits_per_month=1000
)
# Create user first (Account needs owner)
self.user = User.objects.create_user(
username='testuser',
email='test@test.com',
password='testpass123',
role='owner'
)
# Create account with owner
self.account = Account.objects.create(
name="Test Account",
slug="test-account",
plan=self.plan,
owner=self.user
)
# Update user to have account
self.user.account = self.account
self.user.save()
# Create industry and sector
self.industry = Industry.objects.create(
name="Test Industry",
slug="test-industry"
)
self.industry_sector = IndustrySector.objects.create(
industry=self.industry,
name="Test Sector",
slug="test-sector"
)
self.site = Site.objects.create(
account=self.account,
name="Test Site",
slug="test-site",
industry=self.industry
)
self.sector = Sector.objects.create(
account=self.account,
site=self.site,
industry_sector=self.industry_sector,
name="Test Sector",
slug="test-sector"
)
self.integration = SiteIntegration.objects.create(
account=self.account,
site=self.site,
platform='wordpress',
platform_type='cms',
sync_enabled=True,
sync_status='pending'
)
self.service = SyncService()
def test_sync_updates_status(self):
"""Test: Two-way sync functions properly"""
with patch.object(self.service, '_sync_to_external') as mock_sync_to, \
patch.object(self.service, '_sync_from_external') as mock_sync_from:
mock_sync_to.return_value = {'success': True, 'synced': 5}
mock_sync_from.return_value = {'success': True, 'synced': 3}
result = self.service.sync(self.integration, direction='both')
self.assertTrue(result.get('success'))
self.integration.refresh_from_db()
self.assertEqual(self.integration.sync_status, 'success')
self.assertIsNotNone(self.integration.last_sync_at)
def test_sync_to_external_only(self):
"""Test: Two-way sync functions properly"""
with patch.object(self.service, '_sync_to_external') as mock_sync_to:
mock_sync_to.return_value = {'success': True, 'synced': 5}
result = self.service.sync(self.integration, direction='to_external')
self.assertTrue(result.get('success'))
mock_sync_to.assert_called_once()
def test_sync_from_external_only(self):
"""Test: WordPress sync works (when plugin connected)"""
with patch.object(self.service, '_sync_from_external') as mock_sync_from:
mock_sync_from.return_value = {'success': True, 'synced': 3}
result = self.service.sync(self.integration, direction='from_external')
self.assertTrue(result.get('success'))
mock_sync_from.assert_called_once()
def test_sync_handles_errors(self):
"""Test: Two-way sync functions properly"""
with patch.object(self.service, '_sync_to_external') as mock_sync_to:
mock_sync_to.side_effect = Exception("Sync failed")
result = self.service.sync(self.integration, direction='to_external')
self.assertFalse(result.get('success'))
self.integration.refresh_from_db()
self.assertEqual(self.integration.sync_status, 'failed')
self.assertIsNotNone(self.integration.sync_error)

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"""
Linking Business Logic
Phase 4: Linker & Optimizer
"""

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"""
Linking Services
"""

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"""
Link Candidate Engine
Finds relevant content for internal linking
"""
import logging
from typing import List, Dict
from django.db import models
from igny8_core.business.content.models import Content
logger = logging.getLogger(__name__)
class CandidateEngine:
"""Finds link candidates for content"""
def find_candidates(self, content: Content, max_candidates: int = 10) -> List[Dict]:
"""
Find link candidates for a piece of content.
Args:
content: Content instance to find links for
max_candidates: Maximum number of candidates to return
Returns:
List of candidate dicts with: {'content_id', 'title', 'url', 'relevance_score', 'anchor_text'}
"""
if not content or not content.html_content:
return []
# Find relevant content from same account/site/sector
relevant_content = self._find_relevant_content(content)
# Score candidates based on relevance
candidates = self._score_candidates(content, relevant_content)
# Sort by score and return top candidates
candidates.sort(key=lambda x: x.get('relevance_score', 0), reverse=True)
return candidates[:max_candidates]
def _find_relevant_content(self, content: Content) -> List[Content]:
"""Find relevant content from same account/site/sector"""
# Stage 3: Use cluster mappings for better relevance
from igny8_core.business.content.models import ContentClusterMap
# Get content from same account, site, and sector
queryset = Content.objects.filter(
account=content.account,
site=content.site,
sector=content.sector,
status__in=['draft', 'review', 'publish']
).exclude(id=content.id)
# Stage 3: Prioritize content from same cluster
content_clusters = ContentClusterMap.objects.filter(
content=content
).values_list('cluster_id', flat=True)
if content_clusters:
# Find content mapped to same clusters
cluster_content_ids = ContentClusterMap.objects.filter(
cluster_id__in=content_clusters
).exclude(content=content).values_list('content_id', flat=True).distinct()
# Prioritize cluster-matched content
cluster_matched = queryset.filter(id__in=cluster_content_ids)
other_content = queryset.exclude(id__in=cluster_content_ids)
# Combine: cluster-matched first, then others
return list(cluster_matched[:30]) + list(other_content[:20])
# Fallback to keyword-based filtering
if content.primary_keyword:
queryset = queryset.filter(
models.Q(primary_keyword__icontains=content.primary_keyword) |
models.Q(secondary_keywords__icontains=content.primary_keyword)
)
return list(queryset[:50]) # Limit initial query
def _score_candidates(self, content: Content, candidates: List[Content]) -> List[Dict]:
"""Score candidates based on relevance"""
from igny8_core.business.content.models import ContentClusterMap, ContentTaxonomyMap
# Stage 3: Get cluster mappings for content
content_clusters = set(
ContentClusterMap.objects.filter(content=content)
.values_list('cluster_id', flat=True)
)
content_taxonomies = set(
ContentTaxonomyMap.objects.filter(content=content)
.values_list('taxonomy_id', flat=True)
)
scored = []
for candidate in candidates:
score = 0
# Stage 3: Cluster matching (highest priority)
candidate_clusters = set(
ContentClusterMap.objects.filter(content=candidate)
.values_list('cluster_id', flat=True)
)
cluster_overlap = content_clusters & candidate_clusters
if cluster_overlap:
score += 50 * len(cluster_overlap) # High weight for cluster matches
# Stage 3: Taxonomy matching
candidate_taxonomies = set(
ContentTaxonomyMap.objects.filter(content=candidate)
.values_list('taxonomy_id', flat=True)
)
taxonomy_overlap = content_taxonomies & candidate_taxonomies
if taxonomy_overlap:
score += 20 * len(taxonomy_overlap)
# Stage 3: Entity type matching
if content.entity_type == candidate.entity_type:
score += 15
# Keyword overlap (medium weight)
if content.primary_keyword and candidate.primary_keyword:
if content.primary_keyword.lower() in candidate.primary_keyword.lower():
score += 20
if candidate.primary_keyword.lower() in content.primary_keyword.lower():
score += 20
# Secondary keywords overlap
if content.secondary_keywords and candidate.secondary_keywords:
overlap = set(content.secondary_keywords) & set(candidate.secondary_keywords)
score += len(overlap) * 5
# Category overlap
if content.categories and candidate.categories:
overlap = set(content.categories) & set(candidate.categories)
score += len(overlap) * 3
# Tag overlap
if content.tags and candidate.tags:
overlap = set(content.tags) & set(candidate.tags)
score += len(overlap) * 2
# Recency bonus (newer content gets slight boost)
if candidate.generated_at:
days_old = (content.generated_at - candidate.generated_at).days
if days_old < 30:
score += 3
if score > 0:
scored.append({
'content_id': candidate.id,
'title': candidate.title or candidate.task.title if candidate.task else 'Untitled',
'url': f"/content/{candidate.id}/", # Placeholder - actual URL depends on routing
'relevance_score': score,
'cluster_match': len(cluster_overlap) > 0, # Stage 3: Flag cluster matches
'taxonomy_match': len(taxonomy_overlap) > 0, # Stage 3: Flag taxonomy matches
'anchor_text': self._generate_anchor_text(candidate, content)
})
return scored
def _generate_anchor_text(self, candidate: Content, source_content: Content) -> str:
"""Generate anchor text for link"""
# Use primary keyword if available, otherwise use title
if candidate.primary_keyword:
return candidate.primary_keyword
elif candidate.title:
return candidate.title
elif candidate.task and candidate.task.title:
return candidate.task.title
else:
return "Learn more"

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"""
Link Injection Engine
Injects internal links into content HTML
"""
import logging
import re
from typing import List, Dict
from igny8_core.business.content.models import Content
logger = logging.getLogger(__name__)
class InjectionEngine:
"""Injects links into content HTML"""
def inject_links(self, content: Content, candidates: List[Dict], max_links: int = 5) -> Dict:
"""
Inject links into content HTML.
Args:
content: Content instance
candidates: List of link candidates from CandidateEngine
max_links: Maximum number of links to inject
Returns:
Dict with: {'html_content', 'links', 'links_added'}
"""
if not content.html_content or not candidates:
return {
'html_content': content.html_content,
'links': [],
'links_added': 0
}
html = content.html_content
links_added = []
links_used = set() # Track which candidates we've used
# Sort candidates by relevance score
sorted_candidates = sorted(candidates, key=lambda x: x.get('relevance_score', 0), reverse=True)
# Inject links (limit to max_links)
for candidate in sorted_candidates[:max_links]:
if candidate['content_id'] in links_used:
continue
anchor_text = candidate.get('anchor_text', 'Learn more')
url = candidate.get('url', f"/content/{candidate['content_id']}/")
# Find first occurrence of anchor text in HTML (case-insensitive)
pattern = re.compile(re.escape(anchor_text), re.IGNORECASE)
match = pattern.search(html)
if match:
# Replace with link
link_html = f'<a href="{url}" class="internal-link">{anchor_text}</a>'
html = html[:match.start()] + link_html + html[match.end():]
links_added.append({
'content_id': candidate['content_id'],
'anchor_text': anchor_text,
'url': url,
'position': match.start()
})
links_used.add(candidate['content_id'])
return {
'html_content': html,
'links': links_added,
'links_added': len(links_added)
}

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"""
Linker Service
Main service for processing content for internal linking
"""
import logging
from typing import List
from igny8_core.business.content.models import Content
from igny8_core.business.linking.services.candidate_engine import CandidateEngine
from igny8_core.business.linking.services.injection_engine import InjectionEngine
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
logger = logging.getLogger(__name__)
class LinkerService:
"""Service for processing content for internal linking"""
def __init__(self):
self.candidate_engine = CandidateEngine()
self.injection_engine = InjectionEngine()
self.credit_service = CreditService()
def process(self, content_id: int) -> Content:
"""
Process content for linking.
Args:
content_id: Content ID to process
Returns:
Updated Content instance
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
try:
content = Content.objects.get(id=content_id)
except Content.DoesNotExist:
raise ValueError(f"Content with id {content_id} does not exist")
account = content.account
# Check credits
try:
self.credit_service.check_credits(account, 'linking')
except InsufficientCreditsError:
raise
# Find link candidates
candidates = self.candidate_engine.find_candidates(content)
if not candidates:
logger.info(f"No link candidates found for content {content_id}")
return content
# Inject links
result = self.injection_engine.inject_links(content, candidates)
# Update content
content.html_content = result['html_content']
content.internal_links = result['links']
content.linker_version += 1
content.save(update_fields=['html_content', 'internal_links', 'linker_version'])
# Deduct credits
self.credit_service.deduct_credits_for_operation(
account=account,
operation_type='linking',
description=f"Internal linking for content: {content.title or 'Untitled'}",
related_object_type='content',
related_object_id=content.id
)
logger.info(f"Linked content {content_id}: {result['links_added']} links added")
return content
def batch_process(self, content_ids: List[int]) -> List[Content]:
"""
Process multiple content items for linking.
Args:
content_ids: List of content IDs to process
Returns:
List of updated Content instances
"""
results = []
for content_id in content_ids:
try:
result = self.process(content_id)
results.append(result)
except Exception as e:
logger.error(f"Error processing content {content_id}: {str(e)}", exc_info=True)
# Continue with other items
continue
return results
def process_product(self, content_id: int) -> Content:
"""
Process product content for linking (Phase 8).
Enhanced linking for products: links to related products, categories, and service pages.
Args:
content_id: Content ID to process (must be entity_type='product')
Returns:
Updated Content instance
"""
try:
content = Content.objects.get(id=content_id, entity_type='product')
except Content.DoesNotExist:
raise ValueError(f"Product content with id {content_id} does not exist")
# Use base process but with product-specific candidate finding
account = content.account
# Check credits
try:
self.credit_service.check_credits(account, 'linking')
except InsufficientCreditsError:
raise
# Find product-specific link candidates (related products, categories, services)
candidates = self._find_product_candidates(content)
if not candidates:
logger.info(f"No link candidates found for product content {content_id}")
return content
# Inject links
result = self.injection_engine.inject_links(content, candidates)
# Update content
content.html_content = result['html_content']
content.internal_links = result['links']
content.linker_version += 1
content.save(update_fields=['html_content', 'internal_links', 'linker_version'])
# Deduct credits
self.credit_service.deduct_credits_for_operation(
account=account,
operation_type='linking',
description=f"Product linking for: {content.title or 'Untitled'}",
related_object_type='content',
related_object_id=content.id
)
logger.info(f"Linked product content {content_id}: {result['links_added']} links added")
return content
def process_taxonomy(self, content_id: int) -> Content:
"""
Process taxonomy content for linking (Phase 8).
Enhanced linking for taxonomies: links to related categories, tags, and content.
Args:
content_id: Content ID to process (must be entity_type='taxonomy')
Returns:
Updated Content instance
"""
try:
content = Content.objects.get(id=content_id, entity_type='taxonomy')
except Content.DoesNotExist:
raise ValueError(f"Taxonomy content with id {content_id} does not exist")
# Use base process but with taxonomy-specific candidate finding
account = content.account
# Check credits
try:
self.credit_service.check_credits(account, 'linking')
except InsufficientCreditsError:
raise
# Find taxonomy-specific link candidates (related taxonomies, categories, content)
candidates = self._find_taxonomy_candidates(content)
if not candidates:
logger.info(f"No link candidates found for taxonomy content {content_id}")
return content
# Inject links
result = self.injection_engine.inject_links(content, candidates)
# Update content
content.html_content = result['html_content']
content.internal_links = result['links']
content.linker_version += 1
content.save(update_fields=['html_content', 'internal_links', 'linker_version'])
# Deduct credits
self.credit_service.deduct_credits_for_operation(
account=account,
operation_type='linking',
description=f"Taxonomy linking for: {content.title or 'Untitled'}",
related_object_type='content',
related_object_id=content.id
)
logger.info(f"Linked taxonomy content {content_id}: {result['links_added']} links added")
return content
def _find_product_candidates(self, content: Content) -> List[dict]:
"""
Find link candidates specific to product content.
Args:
content: Product Content instance
Returns:
List of candidate dicts
"""
candidates = []
# Find related products (same category, similar features)
related_products = Content.objects.filter(
account=content.account,
site=content.site,
sector=content.sector,
entity_type='product',
status__in=['draft', 'review', 'publish']
).exclude(id=content.id)
# Use structure_data to find products with similar categories/features
if content.structure_data:
product_type = content.structure_data.get('product_type')
if product_type:
related_products = related_products.filter(
structure_data__product_type=product_type
)
# Add product candidates
for product in related_products[:5]: # Limit to 5 related products
candidates.append({
'content_id': product.id,
'title': product.title or 'Untitled Product',
'url': f'/products/{product.id}', # Placeholder URL
'relevance_score': 0.8,
'anchor_text': product.title or 'Related Product'
})
# Find related service pages
related_services = Content.objects.filter(
account=content.account,
site=content.site,
sector=content.sector,
entity_type='service',
status__in=['draft', 'review', 'publish']
)[:3] # Limit to 3 related services
for service in related_services:
candidates.append({
'content_id': service.id,
'title': service.title or 'Untitled Service',
'url': f'/services/{service.id}', # Placeholder URL
'relevance_score': 0.6,
'anchor_text': service.title or 'Related Service'
})
# Use base candidate engine for additional candidates
base_candidates = self.candidate_engine.find_candidates(content, max_candidates=5)
candidates.extend(base_candidates)
return candidates
def _find_taxonomy_candidates(self, content: Content) -> List[dict]:
"""
Find link candidates specific to taxonomy content.
Args:
content: Taxonomy Content instance
Returns:
List of candidate dicts
"""
candidates = []
# Find related taxonomies
related_taxonomies = Content.objects.filter(
account=content.account,
site=content.site,
sector=content.sector,
entity_type='taxonomy',
status__in=['draft', 'review', 'publish']
).exclude(id=content.id)[:5] # Limit to 5 related taxonomies
for taxonomy in related_taxonomies:
candidates.append({
'content_id': taxonomy.id,
'title': taxonomy.title or 'Untitled Taxonomy',
'url': f'/taxonomy/{taxonomy.id}', # Placeholder URL
'relevance_score': 0.7,
'anchor_text': taxonomy.title or 'Related Taxonomy'
})
# Find content in this taxonomy (using json_blocks categories/tags)
if content.json_blocks:
for block in content.json_blocks:
if block.get('type') == 'categories':
categories = block.get('items', [])
for category in categories[:3]: # Limit to 3 categories
category_name = category.get('name', '')
if category_name:
related_content = Content.objects.filter(
account=content.account,
site=content.site,
sector=content.sector,
categories__icontains=category_name,
status__in=['draft', 'review', 'publish']
).exclude(id=content.id)[:3]
for related in related_content:
candidates.append({
'content_id': related.id,
'title': related.title or 'Untitled',
'url': f'/content/{related.id}', # Placeholder URL
'relevance_score': 0.6,
'anchor_text': related.title or 'Related Content'
})
# Use base candidate engine for additional candidates
base_candidates = self.candidate_engine.find_candidates(content, max_candidates=5)
candidates.extend(base_candidates)
return candidates

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# Linking tests

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"""
Tests for CandidateEngine
"""
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.linking.services.candidate_engine import CandidateEngine
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class CandidateEngineTests(IntegrationTestBase):
"""Tests for CandidateEngine"""
def setUp(self):
super().setUp()
self.engine = CandidateEngine()
# Create source content
self.source_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Source Content",
html_content="<p>Source content about test keyword.</p>",
primary_keyword="test keyword",
secondary_keywords=["keyword1", "keyword2"],
categories=["category1"],
tags=["tag1", "tag2"],
word_count=100,
status='draft'
)
# Create relevant content (same keyword)
self.relevant_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Relevant Content",
html_content="<p>Relevant content about test keyword.</p>",
primary_keyword="test keyword",
secondary_keywords=["keyword1"],
categories=["category1"],
tags=["tag1"],
word_count=150,
status='draft'
)
# Create less relevant content (different keyword)
self.less_relevant = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Less Relevant",
html_content="<p>Different content.</p>",
primary_keyword="different keyword",
word_count=100,
status='draft'
)
def test_find_candidates_returns_relevant_content(self):
"""Test that find_candidates returns relevant content"""
candidates = self.engine.find_candidates(self.source_content, max_candidates=10)
# Should find relevant content
candidate_ids = [c['content_id'] for c in candidates]
self.assertIn(self.relevant_content.id, candidate_ids)
def test_find_candidates_scores_by_relevance(self):
"""Test that candidates are scored by relevance"""
candidates = self.engine.find_candidates(self.source_content, max_candidates=10)
# Relevant content should have higher score
relevant_candidate = next((c for c in candidates if c['content_id'] == self.relevant_content.id), None)
self.assertIsNotNone(relevant_candidate)
self.assertGreater(relevant_candidate['relevance_score'], 0)
def test_find_candidates_excludes_self(self):
"""Test that source content is excluded from candidates"""
candidates = self.engine.find_candidates(self.source_content, max_candidates=10)
candidate_ids = [c['content_id'] for c in candidates]
self.assertNotIn(self.source_content.id, candidate_ids)
def test_find_candidates_respects_account_isolation(self):
"""Test that candidates are only from same account"""
# Create content from different account
from igny8_core.auth.models import Account
other_account = Account.objects.create(
name="Other Account",
slug="other-account",
plan=self.plan,
owner=self.user
)
other_content = Content.objects.create(
account=other_account,
site=self.site,
sector=self.sector,
title="Other Account Content",
primary_keyword="test keyword",
word_count=100,
status='draft'
)
candidates = self.engine.find_candidates(self.source_content, max_candidates=10)
candidate_ids = [c['content_id'] for c in candidates]
self.assertNotIn(other_content.id, candidate_ids)
def test_find_candidates_returns_empty_for_no_content(self):
"""Test that empty list is returned when no content"""
empty_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Empty",
html_content="",
word_count=0,
status='draft'
)
candidates = self.engine.find_candidates(empty_content, max_candidates=10)
self.assertEqual(len(candidates), 0)
def test_find_candidates_respects_max_candidates(self):
"""Test that max_candidates limit is respected"""
# Create multiple relevant content items
for i in range(15):
Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title=f"Content {i}",
primary_keyword="test keyword",
word_count=100,
status='draft'
)
candidates = self.engine.find_candidates(self.source_content, max_candidates=5)
self.assertLessEqual(len(candidates), 5)

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"""
Tests for InjectionEngine
"""
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.linking.services.injection_engine import InjectionEngine
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class InjectionEngineTests(IntegrationTestBase):
"""Tests for InjectionEngine"""
def setUp(self):
super().setUp()
self.engine = InjectionEngine()
# Create content with HTML
self.content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Content",
html_content="<p>This is test content with some keywords and text.</p>",
word_count=100,
status='draft'
)
def test_inject_links_adds_links_to_html(self):
"""Test that links are injected into HTML content"""
candidates = [{
'content_id': 1,
'title': 'Target Content',
'url': '/content/1/',
'relevance_score': 50,
'anchor_text': 'keywords'
}]
result = self.engine.inject_links(self.content, candidates, max_links=5)
# Check that link was added
self.assertIn('<a href="/content/1/" class="internal-link">keywords</a>', result['html_content'])
self.assertEqual(result['links_added'], 1)
self.assertEqual(len(result['links']), 1)
def test_inject_links_respects_max_links(self):
"""Test that max_links limit is respected"""
candidates = [
{'content_id': i, 'title': f'Content {i}', 'url': f'/content/{i}/',
'relevance_score': 50, 'anchor_text': f'keyword{i}'}
for i in range(10)
]
# Update HTML to include all anchor texts
self.content.html_content = "<p>" + " ".join([f'keyword{i}' for i in range(10)]) + "</p>"
self.content.save()
result = self.engine.inject_links(self.content, candidates, max_links=3)
self.assertLessEqual(result['links_added'], 3)
self.assertLessEqual(len(result['links']), 3)
def test_inject_links_returns_unchanged_when_no_candidates(self):
"""Test that content is unchanged when no candidates"""
original_html = self.content.html_content
result = self.engine.inject_links(self.content, [], max_links=5)
self.assertEqual(result['html_content'], original_html)
self.assertEqual(result['links_added'], 0)
self.assertEqual(len(result['links']), 0)
def test_inject_links_returns_unchanged_when_no_html(self):
"""Test that empty HTML returns unchanged"""
self.content.html_content = ""
self.content.save()
candidates = [{
'content_id': 1,
'title': 'Target',
'url': '/content/1/',
'relevance_score': 50,
'anchor_text': 'test'
}]
result = self.engine.inject_links(self.content, candidates, max_links=5)
self.assertEqual(result['html_content'], "")
self.assertEqual(result['links_added'], 0)
def test_inject_links_case_insensitive_matching(self):
"""Test that anchor text matching is case-insensitive"""
self.content.html_content = "<p>This is TEST content.</p>"
self.content.save()
candidates = [{
'content_id': 1,
'title': 'Target',
'url': '/content/1/',
'relevance_score': 50,
'anchor_text': 'test'
}]
result = self.engine.inject_links(self.content, candidates, max_links=5)
# Should find and replace despite case difference
self.assertIn('internal-link', result['html_content'])
self.assertEqual(result['links_added'], 1)
def test_inject_links_prevents_duplicate_links(self):
"""Test that same candidate is not linked twice"""
candidates = [
{
'content_id': 1,
'title': 'Target',
'url': '/content/1/',
'relevance_score': 50,
'anchor_text': 'test'
},
{
'content_id': 1, # Same content_id
'title': 'Target',
'url': '/content/1/',
'relevance_score': 40,
'anchor_text': 'test'
}
]
self.content.html_content = "<p>This is test content with test keywords.</p>"
self.content.save()
result = self.engine.inject_links(self.content, candidates, max_links=5)
# Should only add one link despite two candidates
self.assertEqual(result['links_added'], 1)
self.assertEqual(result['html_content'].count('internal-link'), 1)

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"""
Tests for LinkerService
"""
from unittest.mock import Mock, patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.linking.services.linker_service import LinkerService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class LinkerServiceTests(IntegrationTestBase):
"""Tests for LinkerService"""
def setUp(self):
super().setUp()
self.service = LinkerService()
# Create test content
self.content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Content",
html_content="<p>This is test content with some keywords.</p>",
primary_keyword="test keyword",
word_count=100,
status='draft'
)
# Create another content for linking
self.target_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Target Content",
html_content="<p>Target content for linking.</p>",
primary_keyword="test keyword",
word_count=150,
status='draft'
)
@patch('igny8_core.business.linking.services.linker_service.CreditService.check_credits')
@patch('igny8_core.business.linking.services.linker_service.CandidateEngine.find_candidates')
@patch('igny8_core.business.linking.services.linker_service.InjectionEngine.inject_links')
@patch('igny8_core.business.linking.services.linker_service.CreditService.deduct_credits_for_operation')
def test_process_single_content(self, mock_deduct, mock_inject, mock_find, mock_check):
"""Test processing single content for linking"""
# Setup mocks
mock_check.return_value = True
mock_find.return_value = [{
'content_id': self.target_content.id,
'title': 'Target Content',
'url': '/content/2/',
'relevance_score': 50,
'anchor_text': 'test keyword'
}]
mock_inject.return_value = {
'html_content': '<p>This is test content with <a href="/content/2/">test keyword</a>.</p>',
'links': [{
'content_id': self.target_content.id,
'anchor_text': 'test keyword',
'url': '/content/2/'
}],
'links_added': 1
}
# Execute
result = self.service.process(self.content.id)
# Assertions
self.assertEqual(result.id, self.content.id)
self.assertEqual(result.linker_version, 1)
self.assertEqual(len(result.internal_links), 1)
mock_check.assert_called_once_with(self.account, 'linking')
mock_deduct.assert_called_once()
@patch('igny8_core.business.linking.services.linker_service.CreditService.check_credits')
def test_process_insufficient_credits(self, mock_check):
"""Test that InsufficientCreditsError is raised when credits are insufficient"""
mock_check.side_effect = InsufficientCreditsError("Insufficient credits")
with self.assertRaises(InsufficientCreditsError):
self.service.process(self.content.id)
def test_process_content_not_found(self):
"""Test that ValueError is raised when content doesn't exist"""
with self.assertRaises(ValueError):
self.service.process(99999)
@patch('igny8_core.business.linking.services.linker_service.LinkerService.process')
def test_batch_process_multiple_content(self, mock_process):
"""Test batch processing multiple content items"""
# Create additional content
content2 = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Content 2",
html_content="<p>Content 2</p>",
word_count=100,
status='draft'
)
# Setup mock
mock_process.side_effect = [self.content, content2]
# Execute
results = self.service.batch_process([self.content.id, content2.id])
# Assertions
self.assertEqual(len(results), 2)
self.assertEqual(mock_process.call_count, 2)
@patch('igny8_core.business.linking.services.linker_service.LinkerService.process')
def test_batch_process_handles_partial_failure(self, mock_process):
"""Test batch processing handles partial failures"""
# Setup mock to fail on second item
mock_process.side_effect = [self.content, Exception("Processing failed")]
# Execute
results = self.service.batch_process([self.content.id, 99999])
# Assertions - should continue processing other items
self.assertEqual(len(results), 1)
self.assertEqual(results[0].id, self.content.id)
@patch('igny8_core.business.linking.services.linker_service.CreditService.check_credits')
@patch('igny8_core.business.linking.services.linker_service.CandidateEngine.find_candidates')
def test_process_no_candidates_found(self, mock_find, mock_check):
"""Test processing when no candidates are found"""
mock_check.return_value = True
mock_find.return_value = []
# Execute
result = self.service.process(self.content.id)
# Assertions - should return content unchanged
self.assertEqual(result.id, self.content.id)
self.assertEqual(result.linker_version, 0) # Not incremented

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"""
Tests for Universal Content Types Linking (Phase 8)
Tests for product and taxonomy linking
"""
from unittest.mock import patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.linking.services.linker_service import LinkerService
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class UniversalContentLinkingTests(IntegrationTestBase):
"""Tests for Phase 8: Universal Content Types Linking"""
def setUp(self):
super().setUp()
# Add credits to account for testing
self.account.credits = 10000
self.account.save()
self.linker_service = LinkerService()
# Create product content
self.product_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Product',
html_content='<p>Product content with features and specifications.</p>',
entity_type='product',
json_blocks=[
{'type': 'features', 'heading': 'Features', 'items': ['Feature 1', 'Feature 2']}
],
structure_data={'product_type': 'software'},
word_count=1500,
status='draft'
)
# Create related product
self.related_product = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Related Product',
html_content='<p>Related product content.</p>',
entity_type='product',
structure_data={'product_type': 'software'},
word_count=1500,
status='draft'
)
# Create service content
self.service_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Related Service',
html_content='<p>Service content.</p>',
entity_type='service',
word_count=1800,
status='draft'
)
# Create taxonomy content
self.taxonomy_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Taxonomy',
html_content='<p>Taxonomy content with categories.</p>',
entity_type='taxonomy',
json_blocks=[
{
'type': 'categories',
'heading': 'Categories',
'items': [
{'name': 'Category 1', 'description': 'Desc 1', 'subcategories': []}
]
}
],
word_count=1200,
status='draft'
)
# Create related taxonomy
self.related_taxonomy = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Related Taxonomy',
html_content='<p>Related taxonomy content.</p>',
entity_type='taxonomy',
word_count=1200,
status='draft'
)
@patch('igny8_core.business.linking.services.linker_service.InjectionEngine.inject_links')
@patch('igny8_core.business.linking.services.linker_service.CreditService.check_credits')
@patch('igny8_core.business.linking.services.linker_service.CreditService.deduct_credits_for_operation')
def test_linking_works_for_products(self, mock_deduct, mock_check_credits, mock_inject_links):
"""
Test: Linking works for all content types (products, taxonomies)
Task 20: Verify product linking finds related products and services
"""
# Mock injection engine
mock_inject_links.return_value = {
'html_content': '<p>Product content with links.</p>',
'links': [
{'content_id': self.related_product.id, 'anchor_text': 'Related Product'},
{'content_id': self.service_content.id, 'anchor_text': 'Related Service'}
],
'links_added': 2
}
# Process product linking
result = self.linker_service.process_product(self.product_content.id)
# Verify result
self.assertIsNotNone(result)
self.assertEqual(result.entity_type, 'product')
self.assertIsNotNone(result.internal_links)
self.assertEqual(len(result.internal_links), 2)
self.assertEqual(result.linker_version, 1)
# Verify injection was called
mock_inject_links.assert_called_once()
candidates = mock_inject_links.call_args[0][1]
self.assertGreater(len(candidates), 0)
# Verify product candidates were found
product_candidates = [c for c in candidates if c.get('content_id') == self.related_product.id]
self.assertGreater(len(product_candidates), 0)
@patch('igny8_core.business.linking.services.linker_service.InjectionEngine.inject_links')
@patch('igny8_core.business.linking.services.linker_service.CreditService.check_credits')
@patch('igny8_core.business.linking.services.linker_service.CreditService.deduct_credits_for_operation')
def test_linking_works_for_taxonomies(self, mock_deduct, mock_check_credits, mock_inject_links):
"""
Test: Linking works for all content types (products, taxonomies)
Task 20: Verify taxonomy linking finds related taxonomies and content
"""
# Mock injection engine
mock_inject_links.return_value = {
'html_content': '<p>Taxonomy content with links.</p>',
'links': [
{'content_id': self.related_taxonomy.id, 'anchor_text': 'Related Taxonomy'}
],
'links_added': 1
}
# Process taxonomy linking
result = self.linker_service.process_taxonomy(self.taxonomy_content.id)
# Verify result
self.assertIsNotNone(result)
self.assertEqual(result.entity_type, 'taxonomy')
self.assertIsNotNone(result.internal_links)
self.assertEqual(len(result.internal_links), 1)
self.assertEqual(result.linker_version, 1)
# Verify injection was called
mock_inject_links.assert_called_once()
candidates = mock_inject_links.call_args[0][1]
self.assertGreater(len(candidates), 0)
# Verify taxonomy candidates were found
taxonomy_candidates = [c for c in candidates if c.get('content_id') == self.related_taxonomy.id]
self.assertGreater(len(taxonomy_candidates), 0)
def test_product_linking_finds_related_products(self):
"""
Test: Linking works for all content types (products, taxonomies)
Task 20: Verify _find_product_candidates finds related products
"""
candidates = self.linker_service._find_product_candidates(self.product_content)
# Should find related product
product_ids = [c['content_id'] for c in candidates]
self.assertIn(self.related_product.id, product_ids)
# Should find related service
self.assertIn(self.service_content.id, product_ids)
def test_taxonomy_linking_finds_related_taxonomies(self):
"""
Test: Linking works for all content types (products, taxonomies)
Task 20: Verify _find_taxonomy_candidates finds related taxonomies
"""
candidates = self.linker_service._find_taxonomy_candidates(self.taxonomy_content)
# Should find related taxonomy
taxonomy_ids = [c['content_id'] for c in candidates]
self.assertIn(self.related_taxonomy.id, taxonomy_ids)

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"""
Optimization Business Logic
Phase 4: Linker & Optimizer
"""

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from django.apps import AppConfig
class OptimizationConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'igny8_core.business.optimization'
verbose_name = 'Optimization'

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# Generated manually for Phase 4: Optimization System
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('igny8_core_auth', '0013_remove_ai_cost_per_request'),
('writer', '0009_add_content_site_source_fields'),
]
operations = [
migrations.CreateModel(
name='OptimizationTask',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_at', models.DateTimeField(auto_now_add=True, db_index=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('scores_before', models.JSONField(default=dict, help_text='Optimization scores before')),
('scores_after', models.JSONField(default=dict, help_text='Optimization scores after')),
('html_before', models.TextField(blank=True, help_text='HTML content before optimization')),
('html_after', models.TextField(blank=True, help_text='HTML content after optimization')),
('status', models.CharField(choices=[('pending', 'Pending'), ('running', 'Running'), ('completed', 'Completed'), ('failed', 'Failed')], db_index=True, default='pending', help_text='Optimization task status', max_length=20)),
('credits_used', models.IntegerField(default=0, help_text='Credits used for optimization', validators=[django.core.validators.MinValueValidator(0)])),
('metadata', models.JSONField(blank=True, default=dict, help_text='Additional metadata')),
('account', models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.tenant')),
('content', models.ForeignKey(help_text='The content being optimized', on_delete=django.db.models.deletion.CASCADE, related_name='optimization_tasks', to='writer.content')),
],
options={
'db_table': 'igny8_optimization_tasks',
'ordering': ['-created_at'],
'verbose_name': 'Optimization Task',
'verbose_name_plural': 'Optimization Tasks',
},
),
migrations.AddIndex(
model_name='optimizationtask',
index=models.Index(fields=['content', 'status'], name='igny8_optim_content_status_idx'),
),
migrations.AddIndex(
model_name='optimizationtask',
index=models.Index(fields=['account', 'status'], name='igny8_optim_account_status_idx'),
),
migrations.AddIndex(
model_name='optimizationtask',
index=models.Index(fields=['status', 'created_at'], name='igny8_optim_status_created_idx'),
),
]

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"""
Optimization Models
Phase 4: Linker & Optimizer
"""
from django.db import models
from django.core.validators import MinValueValidator
from igny8_core.auth.models import AccountBaseModel
from igny8_core.business.content.models import Content
class OptimizationTask(AccountBaseModel):
"""
Optimization Task model for tracking content optimization runs.
"""
STATUS_CHOICES = [
('pending', 'Pending'),
('running', 'Running'),
('completed', 'Completed'),
('failed', 'Failed'),
]
content = models.ForeignKey(
Content,
on_delete=models.CASCADE,
related_name='optimization_tasks',
help_text="The content being optimized"
)
# Scores before and after optimization
scores_before = models.JSONField(default=dict, help_text="Optimization scores before")
scores_after = models.JSONField(default=dict, help_text="Optimization scores after")
# Content before and after (for comparison)
html_before = models.TextField(blank=True, help_text="HTML content before optimization")
html_after = models.TextField(blank=True, help_text="HTML content after optimization")
# Status
status = models.CharField(
max_length=20,
choices=STATUS_CHOICES,
default='pending',
db_index=True,
help_text="Optimization task status"
)
# Credits used
credits_used = models.IntegerField(default=0, validators=[MinValueValidator(0)], help_text="Credits used for optimization")
# Metadata
metadata = models.JSONField(default=dict, blank=True, help_text="Additional metadata")
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'optimization'
db_table = 'igny8_optimization_tasks'
ordering = ['-created_at']
verbose_name = 'Optimization Task'
verbose_name_plural = 'Optimization Tasks'
indexes = [
models.Index(fields=['content', 'status']),
models.Index(fields=['account', 'status']),
models.Index(fields=['status', 'created_at']),
]
def save(self, *args, **kwargs):
"""Automatically set account from content"""
if self.content:
self.account = self.content.account
super().save(*args, **kwargs)
def __str__(self):
return f"Optimization for {self.content.title or 'Content'} ({self.get_status_display()})"

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"""
Optimization Services
"""

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"""
Content Analyzer
Analyzes content quality and calculates optimization scores
"""
import logging
import re
from typing import Dict
from igny8_core.business.content.models import Content
logger = logging.getLogger(__name__)
class ContentAnalyzer:
"""Analyzes content quality"""
def analyze(self, content: Content) -> Dict:
"""
Analyze content and return scores.
Args:
content: Content instance to analyze
Returns:
Dict with scores: {'seo_score', 'readability_score', 'engagement_score', 'overall_score'}
"""
if not content or not content.html_content:
return {
'seo_score': 0,
'readability_score': 0,
'engagement_score': 0,
'overall_score': 0
}
seo_score = self._calculate_seo_score(content)
readability_score = self._calculate_readability_score(content)
engagement_score = self._calculate_engagement_score(content)
# Stage 3: Calculate metadata completeness score
metadata_score = self._calculate_metadata_score(content)
# Overall score is weighted average (includes metadata)
overall_score = (
seo_score * 0.35 +
readability_score * 0.25 +
engagement_score * 0.25 +
metadata_score * 0.15
)
return {
'seo_score': round(seo_score, 2),
'readability_score': round(readability_score, 2),
'engagement_score': round(engagement_score, 2),
'metadata_score': round(metadata_score, 2), # Stage 3: Add metadata score
'overall_score': round(overall_score, 2),
'word_count': content.word_count or 0,
'has_meta_title': bool(content.meta_title),
'has_meta_description': bool(content.meta_description),
'has_primary_keyword': bool(content.primary_keyword),
'internal_links_count': len(content.internal_links) if content.internal_links else 0,
# Stage 3: Metadata completeness indicators
'has_entity_type': bool(content.entity_type),
'has_cluster_mapping': self._has_cluster_mapping(content),
'has_taxonomy_mapping': self._has_taxonomy_mapping(content),
}
def _calculate_metadata_score(self, content: Content) -> float:
"""Stage 3: Calculate metadata completeness score (0-100)"""
score = 0
# Entity type (20 points)
if content.entity_type:
score += 20
# Cluster mapping (30 points)
if self._has_cluster_mapping(content):
score += 30
# Taxonomy mapping (30 points) - required for products/services
if self._has_taxonomy_mapping(content):
score += 30
elif content.entity_type in ['product', 'service']:
# Products/services must have taxonomy
score += 0
else:
# Other types get partial credit
score += 15
# Attributes (20 points) - for products
if content.entity_type == 'product':
from igny8_core.business.content.models import ContentAttributeMap
attr_count = ContentAttributeMap.objects.filter(content=content).count()
if attr_count >= 3:
score += 20
elif attr_count >= 1:
score += 10
return min(score, 100)
def _has_cluster_mapping(self, content: Content) -> bool:
"""Stage 3: Check if content has cluster mapping"""
from igny8_core.business.content.models import ContentClusterMap
return ContentClusterMap.objects.filter(content=content).exists()
def _has_taxonomy_mapping(self, content: Content) -> bool:
"""Stage 3: Check if content has taxonomy mapping"""
from igny8_core.business.content.models import ContentTaxonomyMap
return ContentTaxonomyMap.objects.filter(content=content).exists()
def _calculate_seo_score(self, content: Content) -> float:
"""Calculate SEO score (0-100)"""
score = 0
# Meta title (20 points)
if content.meta_title:
if len(content.meta_title) >= 30 and len(content.meta_title) <= 60:
score += 20
elif len(content.meta_title) > 0:
score += 10
# Meta description (20 points)
if content.meta_description:
if len(content.meta_description) >= 120 and len(content.meta_description) <= 160:
score += 20
elif len(content.meta_description) > 0:
score += 10
# Primary keyword (20 points)
if content.primary_keyword:
score += 20
# Word count (20 points) - optimal range 1000-2500 words
word_count = content.word_count or 0
if 1000 <= word_count <= 2500:
score += 20
elif 500 <= word_count < 1000 or 2500 < word_count <= 3000:
score += 15
elif word_count > 0:
score += 10
# Internal links (20 points)
internal_links = content.internal_links or []
if len(internal_links) >= 3:
score += 20
elif len(internal_links) >= 1:
score += 10
return min(score, 100)
def _calculate_readability_score(self, content: Content) -> float:
"""Calculate readability score (0-100)"""
if not content.html_content:
return 0
# Simple readability metrics
html = content.html_content
# Remove HTML tags for text analysis
text = re.sub(r'<[^>]+>', '', html)
sentences = re.split(r'[.!?]+', text)
words = text.split()
if not words:
return 0
# Average sentence length (optimal: 15-20 words)
avg_sentence_length = len(words) / max(len(sentences), 1)
if 15 <= avg_sentence_length <= 20:
sentence_score = 40
elif 10 <= avg_sentence_length < 15 or 20 < avg_sentence_length <= 25:
sentence_score = 30
else:
sentence_score = 20
# Average word length (optimal: 4-5 characters)
avg_word_length = sum(len(word) for word in words) / len(words)
if 4 <= avg_word_length <= 5:
word_score = 30
elif 3 <= avg_word_length < 4 or 5 < avg_word_length <= 6:
word_score = 20
else:
word_score = 10
# Paragraph structure (30 points)
paragraphs = html.count('<p>') + html.count('<div>')
if paragraphs >= 3:
paragraph_score = 30
elif paragraphs >= 1:
paragraph_score = 20
else:
paragraph_score = 10
return min(sentence_score + word_score + paragraph_score, 100)
def _calculate_engagement_score(self, content: Content) -> float:
"""Calculate engagement score (0-100)"""
score = 0
# Headings (30 points)
if content.html_content:
h1_count = content.html_content.count('<h1>')
h2_count = content.html_content.count('<h2>')
h3_count = content.html_content.count('<h3>')
if h1_count >= 1 and h2_count >= 2:
score += 30
elif h1_count >= 1 or h2_count >= 1:
score += 20
elif h3_count >= 1:
score += 10
# Images (30 points)
if hasattr(content, 'images'):
image_count = content.images.count()
if image_count >= 3:
score += 30
elif image_count >= 1:
score += 20
# Lists (20 points)
if content.html_content:
list_count = content.html_content.count('<ul>') + content.html_content.count('<ol>')
if list_count >= 2:
score += 20
elif list_count >= 1:
score += 10
# Internal links (20 points)
internal_links = content.internal_links or []
if len(internal_links) >= 3:
score += 20
elif len(internal_links) >= 1:
score += 10
return min(score, 100)

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"""
Optimizer Service
Main service for content optimization with multiple entry points
"""
import logging
from typing import Optional
from igny8_core.business.content.models import Content
from igny8_core.business.optimization.models import OptimizationTask
from igny8_core.business.optimization.services.analyzer import ContentAnalyzer
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
logger = logging.getLogger(__name__)
class OptimizerService:
"""Service for content optimization with multiple entry points"""
def __init__(self):
self.analyzer = ContentAnalyzer()
self.credit_service = CreditService()
def optimize_from_writer(self, content_id: int) -> Content:
"""
Entry Point 1: Writer → Optimizer
Args:
content_id: Content ID from Writer module
Returns:
Optimized Content instance
"""
try:
content = Content.objects.get(id=content_id, source='igny8')
except Content.DoesNotExist:
raise ValueError(f"IGNY8 content with id {content_id} does not exist")
return self.optimize(content)
def optimize_from_wordpress_sync(self, content_id: int) -> Content:
"""
Entry Point 2: WordPress Sync → Optimizer
Args:
content_id: Content ID synced from WordPress
Returns:
Optimized Content instance
"""
try:
content = Content.objects.get(id=content_id, source='wordpress')
except Content.DoesNotExist:
raise ValueError(f"WordPress content with id {content_id} does not exist")
return self.optimize(content)
def optimize_from_external_sync(self, content_id: int) -> Content:
"""
Entry Point 3: External Sync → Optimizer (Shopify, custom APIs)
Args:
content_id: Content ID synced from external source
Returns:
Optimized Content instance
"""
try:
content = Content.objects.get(id=content_id, source__in=['shopify', 'custom'])
except Content.DoesNotExist:
raise ValueError(f"External content with id {content_id} does not exist")
return self.optimize(content)
def optimize_manual(self, content_id: int) -> Content:
"""
Entry Point 4: Manual Selection → Optimizer
Args:
content_id: Content ID selected manually
Returns:
Optimized Content instance
"""
try:
content = Content.objects.get(id=content_id)
except Content.DoesNotExist:
raise ValueError(f"Content with id {content_id} does not exist")
return self.optimize(content)
def optimize(self, content: Content) -> Content:
"""
Unified optimization logic (used by all entry points).
Args:
content: Content instance to optimize
Returns:
Optimized Content instance
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
account = content.account
word_count = content.word_count or 0
# Check credits
try:
self.credit_service.check_credits(account, 'optimization', word_count)
except InsufficientCreditsError:
raise
# Analyze content before optimization
scores_before = self.analyzer.analyze(content)
html_before = content.html_content
# Create optimization task
task = OptimizationTask.objects.create(
content=content,
scores_before=scores_before,
status='running',
html_before=html_before,
account=account
)
try:
# Delegate to AI function (actual optimization happens in Celery/AI task)
# For now, we'll do a simple optimization pass
# In production, this would call the AI function
optimized_content = self._optimize_content(content, scores_before)
# Analyze optimized content
scores_after = self.analyzer.analyze(optimized_content)
# Calculate credits used
credits_used = self.credit_service.get_credit_cost('optimization', word_count)
# Update optimization task
task.scores_after = scores_after
task.html_after = optimized_content.html_content
task.status = 'completed'
task.credits_used = credits_used
task.save()
# Update content
content.html_content = optimized_content.html_content
content.optimizer_version += 1
content.optimization_scores = scores_after
content.save(update_fields=['html_content', 'optimizer_version', 'optimization_scores'])
# Deduct credits
self.credit_service.deduct_credits_for_operation(
account=account,
operation_type='optimization',
amount=word_count,
description=f"Content optimization: {content.title or 'Untitled'}",
related_object_type='content',
related_object_id=content.id,
metadata={
'scores_before': scores_before,
'scores_after': scores_after,
'improvement': scores_after.get('overall_score', 0) - scores_before.get('overall_score', 0)
}
)
logger.info(f"Optimized content {content.id}: {scores_before.get('overall_score', 0)}{scores_after.get('overall_score', 0)}")
return content
except Exception as e:
logger.error(f"Error optimizing content {content.id}: {str(e)}", exc_info=True)
task.status = 'failed'
task.metadata = {'error': str(e)}
task.save()
raise
def _optimize_content(self, content: Content, scores_before: dict) -> Content:
"""
Internal method to optimize content using AI function.
Args:
content: Content to optimize
scores_before: Scores before optimization
Returns:
Optimized Content instance
"""
from igny8_core.ai.engine import AIEngine
from igny8_core.ai.registry import get_function_instance
# Prepare payload for AI function
payload = {
'ids': [content.id],
}
# Get function from registry
fn = get_function_instance('optimize_content')
if not fn:
raise ValueError("OptimizeContentFunction not found in registry")
# Execute AI function
ai_engine = AIEngine(account=content.account)
result = ai_engine.execute(fn, payload)
if not result.get('success'):
raise ValueError(f"Optimization failed: {result.get('error', 'Unknown error')}")
# The AI function's save_output method already updates the content
# We just need to refresh from database to get the updated content
content.refresh_from_db()
return content
def analyze_only(self, content_id: int) -> dict:
"""
Analyze content without optimizing (for preview).
Args:
content_id: Content ID to analyze
Returns:
Analysis scores dict
"""
try:
content = Content.objects.get(id=content_id)
except Content.DoesNotExist:
raise ValueError(f"Content with id {content_id} does not exist")
return self.analyzer.analyze(content)
def optimize_product(self, content_id: int) -> Content:
"""
Optimize product content (Phase 8).
Enhanced optimization for products: e-commerce SEO, product schema, pricing optimization.
Args:
content_id: Content ID to optimize (must be entity_type='product')
Returns:
Optimized Content instance
"""
try:
content = Content.objects.get(id=content_id, entity_type='product')
except Content.DoesNotExist:
raise ValueError(f"Product content with id {content_id} does not exist")
# Use base optimize but with product-specific enhancements
account = content.account
word_count = content.word_count or 0
# Check credits
try:
self.credit_service.check_credits(account, 'optimization', word_count)
except InsufficientCreditsError:
raise
# Analyze content before optimization
scores_before = self.analyzer.analyze(content)
html_before = content.html_content
# Enhance scores with product-specific metrics
scores_before = self._enhance_product_scores(scores_before, content)
# Create optimization task
task = OptimizationTask.objects.create(
content=content,
scores_before=scores_before,
status='running',
html_before=html_before,
account=account
)
try:
# Optimize with product-specific logic
optimized_content = self._optimize_product_content(content, scores_before)
# Analyze optimized content
scores_after = self.analyzer.analyze(optimized_content)
scores_after = self._enhance_product_scores(scores_after, optimized_content)
# Calculate credits used
credits_used = self.credit_service.get_credit_cost('optimization', word_count)
# Update optimization task
task.scores_after = scores_after
task.html_after = optimized_content.html_content
task.status = 'completed'
task.credits_used = credits_used
task.save()
# Update content
content.html_content = optimized_content.html_content
content.optimizer_version += 1
content.optimization_scores = scores_after
content.save(update_fields=['html_content', 'optimizer_version', 'optimization_scores'])
# Deduct credits
self.credit_service.deduct_credits_for_operation(
account=account,
operation_type='optimization',
amount=word_count,
description=f"Product optimization: {content.title or 'Untitled'}",
related_object_type='content',
related_object_id=content.id,
metadata={
'scores_before': scores_before,
'scores_after': scores_after,
'improvement': scores_after.get('overall_score', 0) - scores_before.get('overall_score', 0),
'entity_type': 'product'
}
)
logger.info(f"Optimized product content {content.id}: {scores_before.get('overall_score', 0)}{scores_after.get('overall_score', 0)}")
return content
except Exception as e:
logger.error(f"Error optimizing product content {content.id}: {str(e)}", exc_info=True)
task.status = 'failed'
task.metadata = {'error': str(e)}
task.save()
raise
def optimize_taxonomy(self, content_id: int) -> Content:
"""
Optimize taxonomy content (Phase 8).
Enhanced optimization for taxonomies: category SEO, hierarchy optimization, tag organization.
Args:
content_id: Content ID to optimize (must be entity_type='taxonomy')
Returns:
Optimized Content instance
"""
try:
content = Content.objects.get(id=content_id, entity_type='taxonomy')
except Content.DoesNotExist:
raise ValueError(f"Taxonomy content with id {content_id} does not exist")
# Use base optimize but with taxonomy-specific enhancements
account = content.account
word_count = content.word_count or 0
# Check credits
try:
self.credit_service.check_credits(account, 'optimization', word_count)
except InsufficientCreditsError:
raise
# Analyze content before optimization
scores_before = self.analyzer.analyze(content)
html_before = content.html_content
# Enhance scores with taxonomy-specific metrics
scores_before = self._enhance_taxonomy_scores(scores_before, content)
# Create optimization task
task = OptimizationTask.objects.create(
content=content,
scores_before=scores_before,
status='running',
html_before=html_before,
account=account
)
try:
# Optimize with taxonomy-specific logic
optimized_content = self._optimize_taxonomy_content(content, scores_before)
# Analyze optimized content
scores_after = self.analyzer.analyze(optimized_content)
scores_after = self._enhance_taxonomy_scores(scores_after, optimized_content)
# Calculate credits used
credits_used = self.credit_service.get_credit_cost('optimization', word_count)
# Update optimization task
task.scores_after = scores_after
task.html_after = optimized_content.html_content
task.status = 'completed'
task.credits_used = credits_used
task.save()
# Update content
content.html_content = optimized_content.html_content
content.optimizer_version += 1
content.optimization_scores = scores_after
content.save(update_fields=['html_content', 'optimizer_version', 'optimization_scores'])
# Deduct credits
self.credit_service.deduct_credits_for_operation(
account=account,
operation_type='optimization',
amount=word_count,
description=f"Taxonomy optimization: {content.title or 'Untitled'}",
related_object_type='content',
related_object_id=content.id,
metadata={
'scores_before': scores_before,
'scores_after': scores_after,
'improvement': scores_after.get('overall_score', 0) - scores_before.get('overall_score', 0),
'entity_type': 'taxonomy'
}
)
logger.info(f"Optimized taxonomy content {content.id}: {scores_before.get('overall_score', 0)}{scores_after.get('overall_score', 0)}")
return content
except Exception as e:
logger.error(f"Error optimizing taxonomy content {content.id}: {str(e)}", exc_info=True)
task.status = 'failed'
task.metadata = {'error': str(e)}
task.save()
raise
def _enhance_product_scores(self, scores: dict, content: Content) -> dict:
"""Enhance scores with product-specific metrics"""
enhanced = scores.copy()
# Check for product-specific elements
has_pricing = bool(content.structure_data.get('price_range') if content.structure_data else False)
has_features = bool(content.json_blocks and any(b.get('type') == 'features' for b in content.json_blocks))
has_specifications = bool(content.json_blocks and any(b.get('type') == 'specifications' for b in content.json_blocks))
# Add product-specific scores
enhanced['product_completeness'] = sum([
1 if has_pricing else 0,
1 if has_features else 0,
1 if has_specifications else 0,
]) / 3.0
return enhanced
def _enhance_taxonomy_scores(self, scores: dict, content: Content) -> dict:
"""Enhance scores with taxonomy-specific metrics"""
enhanced = scores.copy()
# Check for taxonomy-specific elements
has_categories = bool(content.json_blocks and any(b.get('type') == 'categories' for b in content.json_blocks))
has_tags = bool(content.json_blocks and any(b.get('type') == 'tags' for b in content.json_blocks))
has_hierarchy = bool(content.json_blocks and any(b.get('type') == 'hierarchy' for b in content.json_blocks))
# Add taxonomy-specific scores
enhanced['taxonomy_organization'] = sum([
1 if has_categories else 0,
1 if has_tags else 0,
1 if has_hierarchy else 0,
]) / 3.0
return enhanced
def _optimize_product_content(self, content: Content, scores_before: dict) -> Content:
"""Optimize product content with product-specific logic"""
# Use base optimization but enhance for products
return self._optimize_content(content, scores_before)
def _optimize_taxonomy_content(self, content: Content, scores_before: dict) -> Content:
"""Optimize taxonomy content with taxonomy-specific logic"""
# Use base optimization but enhance for taxonomies
return self._optimize_content(content, scores_before)

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# Optimization tests

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"""
Tests for ContentAnalyzer
"""
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.optimization.services.analyzer import ContentAnalyzer
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class ContentAnalyzerTests(IntegrationTestBase):
"""Tests for ContentAnalyzer"""
def setUp(self):
super().setUp()
self.analyzer = ContentAnalyzer()
def test_analyze_returns_all_scores(self):
"""Test that analyze returns all required scores"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Content",
html_content="<p>This is test content.</p>",
meta_title="Test Title",
meta_description="Test description",
primary_keyword="test keyword",
word_count=1500,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertIn('seo_score', scores)
self.assertIn('readability_score', scores)
self.assertIn('engagement_score', scores)
self.assertIn('overall_score', scores)
self.assertIn('word_count', scores)
self.assertIn('has_meta_title', scores)
self.assertIn('has_meta_description', scores)
self.assertIn('has_primary_keyword', scores)
self.assertIn('internal_links_count', scores)
def test_analyze_returns_zero_scores_for_empty_content(self):
"""Test that empty content returns zero scores"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Empty",
html_content="",
word_count=0,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertEqual(scores['seo_score'], 0)
self.assertEqual(scores['readability_score'], 0)
self.assertEqual(scores['engagement_score'], 0)
self.assertEqual(scores['overall_score'], 0)
def test_calculate_seo_score_with_meta_title(self):
"""Test SEO score calculation with meta title"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
meta_title="Test Title" * 5, # 50 chars - optimal length
word_count=1500,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertGreater(scores['seo_score'], 0)
def test_calculate_seo_score_with_primary_keyword(self):
"""Test SEO score calculation with primary keyword"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
primary_keyword="test keyword",
word_count=1500,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertGreater(scores['seo_score'], 0)
def test_calculate_readability_score(self):
"""Test readability score calculation"""
# Create content with good readability (short sentences, paragraphs)
html = "<p>This is a sentence.</p><p>This is another sentence.</p><p>And one more.</p>"
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
html_content=html,
word_count=20,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertGreater(scores['readability_score'], 0)
def test_calculate_engagement_score_with_headings(self):
"""Test engagement score calculation with headings"""
html = "<h1>Main Heading</h1><h2>Subheading 1</h2><h2>Subheading 2</h2>"
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
html_content=html,
word_count=100,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertGreater(scores['engagement_score'], 0)
def test_calculate_engagement_score_with_internal_links(self):
"""Test engagement score calculation with internal links"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
html_content="<p>Test content.</p>",
internal_links=[
{'content_id': 1, 'anchor_text': 'link1'},
{'content_id': 2, 'anchor_text': 'link2'},
{'content_id': 3, 'anchor_text': 'link3'}
],
word_count=100,
status='draft'
)
scores = self.analyzer.analyze(content)
self.assertGreater(scores['engagement_score'], 0)
self.assertEqual(scores['internal_links_count'], 3)
def test_overall_score_is_weighted_average(self):
"""Test that overall score is weighted average"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test",
html_content="<p>Test content.</p>",
meta_title="Test Title",
meta_description="Test description",
primary_keyword="test",
word_count=1500,
status='draft'
)
scores = self.analyzer.analyze(content)
# Overall should be weighted: SEO (40%) + Readability (30%) + Engagement (30%)
expected = (
scores['seo_score'] * 0.4 +
scores['readability_score'] * 0.3 +
scores['engagement_score'] * 0.3
)
self.assertAlmostEqual(scores['overall_score'], expected, places=1)

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"""
Tests for OptimizerService
"""
from unittest.mock import Mock, patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.optimization.models import OptimizationTask
from igny8_core.business.optimization.services.optimizer_service import OptimizerService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class OptimizerServiceTests(IntegrationTestBase):
"""Tests for OptimizerService"""
def setUp(self):
super().setUp()
self.service = OptimizerService()
# Create test content
self.content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Content",
html_content="<p>This is test content.</p>",
meta_title="Test Title",
meta_description="Test description",
primary_keyword="test keyword",
word_count=500,
status='draft',
source='igny8'
)
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.check_credits')
@patch('igny8_core.business.optimization.services.optimizer_service.ContentAnalyzer.analyze')
@patch('igny8_core.business.optimization.services.optimizer_service.OptimizerService._optimize_content')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.deduct_credits_for_operation')
def test_optimize_from_writer(self, mock_deduct, mock_optimize, mock_analyze, mock_check):
"""Test optimize_from_writer entry point"""
mock_check.return_value = True
mock_analyze.return_value = {
'seo_score': 50.0,
'readability_score': 60.0,
'engagement_score': 55.0,
'overall_score': 55.0
}
optimized_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Optimized Content",
html_content="<p>Optimized content.</p>",
word_count=500,
status='draft',
source='igny8'
)
mock_optimize.return_value = optimized_content
result = self.service.optimize_from_writer(self.content.id)
self.assertEqual(result.id, self.content.id)
mock_check.assert_called_once()
mock_deduct.assert_called_once()
def test_optimize_from_writer_invalid_content(self):
"""Test that ValueError is raised for invalid content"""
with self.assertRaises(ValueError):
self.service.optimize_from_writer(99999)
def test_optimize_from_writer_wrong_source(self):
"""Test that ValueError is raised for wrong source"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="WordPress Content",
word_count=100,
source='wordpress'
)
with self.assertRaises(ValueError):
self.service.optimize_from_writer(content.id)
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.check_credits')
def test_optimize_insufficient_credits(self, mock_check):
"""Test that InsufficientCreditsError is raised when credits are insufficient"""
mock_check.side_effect = InsufficientCreditsError("Insufficient credits")
with self.assertRaises(InsufficientCreditsError):
self.service.optimize(self.content)
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.check_credits')
@patch('igny8_core.business.optimization.services.optimizer_service.ContentAnalyzer.analyze')
@patch('igny8_core.business.optimization.services.optimizer_service.OptimizerService._optimize_content')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.deduct_credits_for_operation')
def test_optimize_creates_optimization_task(self, mock_deduct, mock_optimize, mock_analyze, mock_check):
"""Test that optimization creates OptimizationTask"""
mock_check.return_value = True
scores = {
'seo_score': 50.0,
'readability_score': 60.0,
'engagement_score': 55.0,
'overall_score': 55.0
}
mock_analyze.return_value = scores
optimized_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Optimized",
html_content="<p>Optimized.</p>",
word_count=500,
status='draft'
)
mock_optimize.return_value = optimized_content
result = self.service.optimize(self.content)
# Check that task was created
task = OptimizationTask.objects.filter(content=self.content).first()
self.assertIsNotNone(task)
self.assertEqual(task.status, 'completed')
self.assertEqual(task.scores_before, scores)
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.check_credits')
@patch('igny8_core.business.optimization.services.optimizer_service.ContentAnalyzer.analyze')
def test_analyze_only_returns_scores(self, mock_analyze, mock_check):
"""Test analyze_only method returns scores without optimizing"""
scores = {
'seo_score': 50.0,
'readability_score': 60.0,
'engagement_score': 55.0,
'overall_score': 55.0
}
mock_analyze.return_value = scores
result = self.service.analyze_only(self.content.id)
self.assertEqual(result, scores)
mock_analyze.assert_called_once()
def test_optimize_from_wordpress_sync(self):
"""Test optimize_from_wordpress_sync entry point"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="WordPress Content",
word_count=100,
source='wordpress'
)
with patch.object(self.service, 'optimize') as mock_optimize:
mock_optimize.return_value = content
result = self.service.optimize_from_wordpress_sync(content.id)
self.assertEqual(result.id, content.id)
mock_optimize.assert_called_once()
def test_optimize_from_external_sync(self):
"""Test optimize_from_external_sync entry point"""
content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Shopify Content",
word_count=100,
source='shopify'
)
with patch.object(self.service, 'optimize') as mock_optimize:
mock_optimize.return_value = content
result = self.service.optimize_from_external_sync(content.id)
self.assertEqual(result.id, content.id)
mock_optimize.assert_called_once()
def test_optimize_manual(self):
"""Test optimize_manual entry point"""
with patch.object(self.service, 'optimize') as mock_optimize:
mock_optimize.return_value = self.content
result = self.service.optimize_manual(self.content.id)
self.assertEqual(result.id, self.content.id)
mock_optimize.assert_called_once()

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"""
Tests for Universal Content Types Optimization (Phase 8)
Tests for product and taxonomy optimization
"""
from unittest.mock import patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.business.optimization.services.optimizer_service import OptimizerService
from igny8_core.business.optimization.models import OptimizationTask
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class UniversalContentOptimizationTests(IntegrationTestBase):
"""Tests for Phase 8: Universal Content Types Optimization"""
def setUp(self):
super().setUp()
# Add credits to account for testing
self.account.credits = 10000
self.account.save()
self.optimizer_service = OptimizerService()
# Create product content
self.product_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Product',
html_content='<p>Product content that needs optimization.</p>',
entity_type='product',
json_blocks=[
{'type': 'features', 'heading': 'Features', 'items': ['Feature 1']},
{'type': 'specifications', 'heading': 'Specs', 'data': {'Spec': 'Value'}}
],
structure_data={'product_type': 'software', 'price_range': '$99-$199'},
word_count=1500,
status='draft'
)
# Create taxonomy content
self.taxonomy_content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title='Test Taxonomy',
html_content='<p>Taxonomy content that needs optimization.</p>',
entity_type='taxonomy',
json_blocks=[
{'type': 'categories', 'heading': 'Categories', 'items': [{'name': 'Cat 1'}]},
{'type': 'tags', 'heading': 'Tags', 'items': ['Tag 1']},
{'type': 'hierarchy', 'heading': 'Hierarchy', 'structure': {}}
],
word_count=1200,
status='draft'
)
@patch('igny8_core.business.optimization.services.optimizer_service.OptimizerService._optimize_content')
@patch('igny8_core.business.optimization.services.optimizer_service.ContentAnalyzer.analyze')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.check_credits')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.get_credit_cost')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.deduct_credits_for_operation')
def test_optimization_works_for_products(self, mock_deduct, mock_get_cost, mock_check_credits, mock_analyze, mock_optimize):
"""
Test: Optimization works for all content types (products, taxonomies)
Task 21: Verify product optimization includes product-specific metrics
"""
# Mock analyzer
mock_analyze.return_value = {
'seo_score': 75,
'readability_score': 80,
'engagement_score': 70,
'overall_score': 75
}
# Mock credit cost
mock_get_cost.return_value = 10
# Mock optimization
optimized_content = Content.objects.get(id=self.product_content.id)
optimized_content.html_content = '<p>Optimized product content.</p>'
mock_optimize.return_value = optimized_content
# Optimize product
result = self.optimizer_service.optimize_product(self.product_content.id)
# Verify result
self.assertIsNotNone(result)
self.assertEqual(result.entity_type, 'product')
self.assertEqual(result.optimizer_version, 1)
self.assertIsNotNone(result.optimization_scores)
# Verify product-specific scores were enhanced
scores = result.optimization_scores
self.assertIn('product_completeness', scores)
self.assertGreaterEqual(scores['product_completeness'], 0)
self.assertLessEqual(scores['product_completeness'], 1)
# Verify optimization task was created
task = OptimizationTask.objects.filter(content=result).first()
self.assertIsNotNone(task)
self.assertEqual(task.status, 'completed')
self.assertIn('product_completeness', task.scores_after)
@patch('igny8_core.business.optimization.services.optimizer_service.OptimizerService._optimize_content')
@patch('igny8_core.business.optimization.services.optimizer_service.ContentAnalyzer.analyze')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.check_credits')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.get_credit_cost')
@patch('igny8_core.business.optimization.services.optimizer_service.CreditService.deduct_credits_for_operation')
def test_optimization_works_for_taxonomies(self, mock_deduct, mock_get_cost, mock_check_credits, mock_analyze, mock_optimize):
"""
Test: Optimization works for all content types (products, taxonomies)
Task 21: Verify taxonomy optimization includes taxonomy-specific metrics
"""
# Mock analyzer
mock_analyze.return_value = {
'seo_score': 70,
'readability_score': 75,
'engagement_score': 65,
'overall_score': 70
}
# Mock credit cost
mock_get_cost.return_value = 8
# Mock optimization
optimized_content = Content.objects.get(id=self.taxonomy_content.id)
optimized_content.html_content = '<p>Optimized taxonomy content.</p>'
mock_optimize.return_value = optimized_content
# Optimize taxonomy
result = self.optimizer_service.optimize_taxonomy(self.taxonomy_content.id)
# Verify result
self.assertIsNotNone(result)
self.assertEqual(result.entity_type, 'taxonomy')
self.assertEqual(result.optimizer_version, 1)
self.assertIsNotNone(result.optimization_scores)
# Verify taxonomy-specific scores were enhanced
scores = result.optimization_scores
self.assertIn('taxonomy_organization', scores)
self.assertGreaterEqual(scores['taxonomy_organization'], 0)
self.assertLessEqual(scores['taxonomy_organization'], 1)
# Verify optimization task was created
task = OptimizationTask.objects.filter(content=result).first()
self.assertIsNotNone(task)
self.assertEqual(task.status, 'completed')
self.assertIn('taxonomy_organization', task.scores_after)
def test_enhance_product_scores_includes_completeness(self):
"""
Test: Optimization works for all content types (products, taxonomies)
Task 21: Verify _enhance_product_scores adds product_completeness
"""
base_scores = {
'seo_score': 75,
'readability_score': 80,
'overall_score': 75
}
enhanced = self.optimizer_service._enhance_product_scores(base_scores, self.product_content)
self.assertIn('product_completeness', enhanced)
self.assertGreaterEqual(enhanced['product_completeness'], 0)
self.assertLessEqual(enhanced['product_completeness'], 1)
def test_enhance_taxonomy_scores_includes_organization(self):
"""
Test: Optimization works for all content types (products, taxonomies)
Task 21: Verify _enhance_taxonomy_scores adds taxonomy_organization
"""
base_scores = {
'seo_score': 70,
'readability_score': 75,
'overall_score': 70
}
enhanced = self.optimizer_service._enhance_taxonomy_scores(base_scores, self.taxonomy_content)
self.assertIn('taxonomy_organization', enhanced)
self.assertGreaterEqual(enhanced['taxonomy_organization'], 0)
self.assertLessEqual(enhanced['taxonomy_organization'], 1)

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"""
Planning business logic - Keywords, Clusters, ContentIdeas models and services
"""

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from django.db import models
from igny8_core.auth.models import SiteSectorBaseModel, SeedKeyword
class Clusters(SiteSectorBaseModel):
"""Clusters model for keyword grouping"""
CONTEXT_TYPE_CHOICES = [
('topic', 'Topic Cluster'),
('attribute', 'Attribute Cluster'),
('service_line', 'Service Line'),
]
name = models.CharField(max_length=255, unique=True, db_index=True)
description = models.TextField(blank=True, null=True)
keywords_count = models.IntegerField(default=0)
volume = models.IntegerField(default=0)
mapped_pages = models.IntegerField(default=0)
status = models.CharField(max_length=50, default='active')
context_type = models.CharField(
max_length=50,
choices=CONTEXT_TYPE_CHOICES,
default='topic',
help_text="Primary dimension for this cluster (topic, attribute, service line)"
)
dimension_meta = models.JSONField(
default=dict,
blank=True,
help_text="Extended metadata (taxonomy hints, attribute suggestions, coverage targets)"
)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'planner'
db_table = 'igny8_clusters'
ordering = ['name']
verbose_name = 'Cluster'
verbose_name_plural = 'Clusters'
indexes = [
models.Index(fields=['name']),
models.Index(fields=['status']),
models.Index(fields=['site', 'sector']),
models.Index(fields=['context_type']),
]
def __str__(self):
return self.name
class Keywords(SiteSectorBaseModel):
"""
Keywords model for SEO keyword management.
Site-specific instances that reference global SeedKeywords.
"""
STATUS_CHOICES = [
('active', 'Active'),
('pending', 'Pending'),
('archived', 'Archived'),
]
# Required: Link to global SeedKeyword
seed_keyword = models.ForeignKey(
SeedKeyword,
on_delete=models.PROTECT, # Prevent deletion if Keywords reference it
related_name='site_keywords',
help_text="Reference to the global seed keyword"
)
# Site-specific overrides (optional)
volume_override = models.IntegerField(
null=True,
blank=True,
help_text="Site-specific volume override (uses seed_keyword.volume if not set)"
)
difficulty_override = models.IntegerField(
null=True,
blank=True,
help_text="Site-specific difficulty override (uses seed_keyword.difficulty if not set)"
)
attribute_values = models.JSONField(
default=list,
blank=True,
help_text="Optional attribute metadata (e.g., product specs, service modifiers)"
)
cluster = models.ForeignKey(
'Clusters',
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='keywords',
limit_choices_to={'sector': models.F('sector')} # Cluster must be in same sector
)
status = models.CharField(max_length=50, choices=STATUS_CHOICES, default='pending')
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'planner'
db_table = 'igny8_keywords'
ordering = ['-created_at']
verbose_name = 'Keyword'
verbose_name_plural = 'Keywords'
unique_together = [['seed_keyword', 'site', 'sector']] # One keyword per site/sector
indexes = [
models.Index(fields=['seed_keyword']),
models.Index(fields=['status']),
models.Index(fields=['cluster']),
models.Index(fields=['site', 'sector']),
models.Index(fields=['seed_keyword', 'site', 'sector']),
]
@property
def keyword(self):
"""Get keyword text from seed_keyword"""
return self.seed_keyword.keyword if self.seed_keyword else ''
@property
def volume(self):
"""Get volume from override or seed_keyword"""
return self.volume_override if self.volume_override is not None else (self.seed_keyword.volume if self.seed_keyword else 0)
@property
def difficulty(self):
"""Get difficulty from override or seed_keyword"""
return self.difficulty_override if self.difficulty_override is not None else (self.seed_keyword.difficulty if self.seed_keyword else 0)
@property
def intent(self):
"""Get intent from seed_keyword"""
return self.seed_keyword.intent if self.seed_keyword else 'informational'
def save(self, *args, **kwargs):
"""Validate that seed_keyword's industry/sector matches site's industry/sector"""
if self.seed_keyword and self.site and self.sector:
# Validate industry match
if self.site.industry != self.seed_keyword.industry:
from django.core.exceptions import ValidationError
raise ValidationError(
f"SeedKeyword industry ({self.seed_keyword.industry.name}) must match site industry ({self.site.industry.name})"
)
# Validate sector match (site sector's industry_sector must match seed_keyword's sector)
if self.sector.industry_sector != self.seed_keyword.sector:
from django.core.exceptions import ValidationError
raise ValidationError(
f"SeedKeyword sector ({self.seed_keyword.sector.name}) must match site sector's industry sector ({self.sector.industry_sector.name if self.sector.industry_sector else 'None'})"
)
super().save(*args, **kwargs)
def __str__(self):
return self.keyword
class ContentIdeas(SiteSectorBaseModel):
"""Content Ideas model for planning content based on keyword clusters"""
STATUS_CHOICES = [
('new', 'New'),
('scheduled', 'Scheduled'),
('published', 'Published'),
]
CONTENT_STRUCTURE_CHOICES = [
('cluster_hub', 'Cluster Hub'),
('landing_page', 'Landing Page'),
('pillar_page', 'Pillar Page'),
('supporting_page', 'Supporting Page'),
]
CONTENT_TYPE_CHOICES = [
('blog_post', 'Blog Post'),
('article', 'Article'),
('guide', 'Guide'),
('tutorial', 'Tutorial'),
]
SITE_ENTITY_TYPE_CHOICES = [
('page', 'Site Page'),
('blog_post', 'Blog Post'),
('product', 'Product'),
('service', 'Service'),
('taxonomy', 'Taxonomy Page'),
]
CLUSTER_ROLE_CHOICES = [
('hub', 'Hub Page'),
('supporting', 'Supporting Page'),
('attribute', 'Attribute Page'),
]
idea_title = models.CharField(max_length=255, db_index=True)
description = models.TextField(blank=True, null=True)
content_structure = models.CharField(max_length=50, choices=CONTENT_STRUCTURE_CHOICES, default='blog_post')
content_type = models.CharField(max_length=50, choices=CONTENT_TYPE_CHOICES, default='blog_post')
target_keywords = models.CharField(max_length=500, blank=True) # Comma-separated keywords (legacy)
keyword_objects = models.ManyToManyField(
'Keywords',
blank=True,
related_name='content_ideas',
help_text="Individual keywords linked to this content idea"
)
keyword_cluster = models.ForeignKey(
Clusters,
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='ideas',
limit_choices_to={'sector': models.F('sector')}
)
taxonomy = models.ForeignKey(
'site_building.SiteBlueprintTaxonomy',
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='content_ideas',
help_text="Optional taxonomy association when derived from blueprint planning"
)
status = models.CharField(max_length=50, choices=STATUS_CHOICES, default='new')
estimated_word_count = models.IntegerField(default=1000)
site_entity_type = models.CharField(
max_length=50,
choices=SITE_ENTITY_TYPE_CHOICES,
default='page',
help_text="Target entity type when promoting idea into tasks/pages"
)
cluster_role = models.CharField(
max_length=50,
choices=CLUSTER_ROLE_CHOICES,
default='hub',
help_text="Role within the cluster-driven sitemap"
)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
app_label = 'planner'
db_table = 'igny8_content_ideas'
ordering = ['-created_at']
verbose_name = 'Content Idea'
verbose_name_plural = 'Content Ideas'
indexes = [
models.Index(fields=['idea_title']),
models.Index(fields=['status']),
models.Index(fields=['keyword_cluster']),
models.Index(fields=['content_structure']),
models.Index(fields=['site_entity_type']),
models.Index(fields=['cluster_role']),
models.Index(fields=['site', 'sector']),
]
def __str__(self):
return self.idea_title

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"""
Planning services
"""

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"""
Clustering Service
Handles keyword clustering business logic
"""
import logging
from igny8_core.business.planning.models import Keywords
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
logger = logging.getLogger(__name__)
class ClusteringService:
"""Service for keyword clustering operations"""
def __init__(self):
self.credit_service = CreditService()
def cluster_keywords(self, keyword_ids, account, sector_id=None):
"""
Cluster keywords using AI.
Args:
keyword_ids: List of keyword IDs
account: Account instance
sector_id: Optional sector ID
Returns:
dict: Result with success status and data
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
# Validate input
if not keyword_ids:
return {
'success': False,
'error': 'No keyword IDs provided'
}
if len(keyword_ids) > 20:
return {
'success': False,
'error': 'Maximum 20 keywords allowed for clustering'
}
# Check credits (fixed cost per clustering operation)
try:
self.credit_service.check_credits(account, 'clustering')
except InsufficientCreditsError:
raise
# Delegate to AI task
from igny8_core.ai.tasks import run_ai_task
from django.conf import settings
payload = {
'ids': keyword_ids,
'sector_id': sector_id
}
# Stage 1: When USE_SITE_BUILDER_REFACTOR is enabled, payload can include
# taxonomy hints and dimension metadata for enhanced clustering.
# TODO (Stage 2/3): Enhance clustering to collect and use:
# - Taxonomy hints from SiteBlueprintTaxonomy
# - Dimension metadata (context_type, dimension_meta) for clusters
# - Attribute values from Keywords.attribute_values
if getattr(settings, 'USE_SITE_BUILDER_REFACTOR', False):
logger.info(
f"Clustering with refactor enabled: {len(keyword_ids)} keywords, "
f"sector_id={sector_id}, account_id={account.id}"
)
# Future: Add taxonomy hints and dimension metadata to payload
try:
if hasattr(run_ai_task, 'delay'):
# Celery available - queue async
task = run_ai_task.delay(
function_name='auto_cluster',
payload=payload,
account_id=account.id
)
return {
'success': True,
'task_id': str(task.id),
'message': 'Clustering started'
}
else:
# Celery not available - execute synchronously
result = run_ai_task(
function_name='auto_cluster',
payload=payload,
account_id=account.id
)
return result
except Exception as e:
logger.error(f"Error in cluster_keywords: {str(e)}", exc_info=True)
return {
'success': False,
'error': str(e)
}

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