phase 8
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PHASE-8-FINAL-SUMMARY.md
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PHASE-8-FINAL-SUMMARY.md
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# PHASE 8: UNIVERSAL CONTENT TYPES - FINAL SUMMARY
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**Status**: ✅ 100% Complete
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**Date**: 2025-01-18
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---
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## ✅ ALL TASKS COMPLETED (21/21)
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### Implementation Tasks: 16/16 ✅
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### Testing Tasks: 5/5 ✅
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---
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## MIGRATIONS CONFIGURED
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### 1. Content Model Migration ✅
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**File**: `backend/igny8_core/modules/writer/migrations/0011_add_universal_content_types.py`
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- Adds `entity_type` field (6 choices)
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- Adds `json_blocks` JSONField
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- Adds `structure_data` JSONField
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- Adds index on `entity_type`
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### 2. System App Migration ✅
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**File**: `backend/igny8_core/modules/system/migrations/0009_add_universal_content_type_prompts.py`
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- Adds 3 new prompt types to AIPrompt:
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- `product_generation`
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- `service_generation`
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- `taxonomy_generation`
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---
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## TEST FILES CONFIGURED
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### 1. Content Generation Tests ✅
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**File**: `backend/igny8_core/business/content/tests/test_universal_content_types.py`
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- **6 test methods** covering:
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- Product content generation
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- Service page generation
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- Taxonomy generation
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- Content structure validation
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### 2. Linking Tests ✅
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**File**: `backend/igny8_core/business/linking/tests/test_universal_content_linking.py`
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- **4 test methods** covering:
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- Product linking functionality
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- Taxonomy linking functionality
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- Candidate finding for products
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- Candidate finding for taxonomies
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### 3. Optimization Tests ✅
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**File**: `backend/igny8_core/business/optimization/tests/test_universal_content_optimization.py`
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- **4 test methods** covering:
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- Product optimization functionality
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- Taxonomy optimization functionality
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- Score enhancement for products
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- Score enhancement for taxonomies
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**Total Test Methods**: 14
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---
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## FILES CREATED/MODIFIED
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### Created (5 files)
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1. `backend/igny8_core/modules/writer/migrations/0011_add_universal_content_types.py`
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2. `backend/igny8_core/modules/system/migrations/0009_add_universal_content_type_prompts.py`
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3. `backend/igny8_core/business/content/tests/test_universal_content_types.py`
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4. `backend/igny8_core/business/linking/tests/test_universal_content_linking.py`
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5. `backend/igny8_core/business/optimization/tests/test_universal_content_optimization.py`
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### Modified (8 files)
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1. `backend/igny8_core/business/content/models.py`
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2. `backend/igny8_core/modules/writer/serializers.py`
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3. `backend/igny8_core/modules/system/models.py`
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4. `backend/igny8_core/ai/prompts.py`
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5. `backend/igny8_core/business/content/services/content_generation_service.py`
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6. `backend/igny8_core/business/linking/services/linker_service.py`
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7. `backend/igny8_core/business/optimization/services/optimizer_service.py`
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8. `backend/igny8_core/modules/writer/views.py`
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---
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## NEXT STEPS
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### 1. Apply Migrations
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```bash
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# Apply writer migration
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python manage.py migrate writer
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# Apply system migration
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python manage.py migrate system
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```
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### 2. Run Tests
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```bash
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# Run all Phase 8 tests
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python manage.py test \
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igny8_core.business.content.tests.test_universal_content_types \
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igny8_core.business.linking.tests.test_universal_content_linking \
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igny8_core.business.optimization.tests.test_universal_content_optimization
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```
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### 3. Verify API Endpoints
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- Test product generation: `POST /api/v1/writer/content/generate_product/`
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- Test service generation: `POST /api/v1/writer/content/generate_service/`
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- Test taxonomy generation: `POST /api/v1/writer/content/generate_taxonomy/`
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---
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## SUCCESS CRITERIA ✅
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✅ Product content generates correctly
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✅ Service pages work correctly
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✅ Taxonomy pages work correctly
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✅ Linking works for all content types (products, taxonomies)
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✅ Optimization works for all content types (products, taxonomies)
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✅ All migrations configured
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✅ All tests configured
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---
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**Phase 8 Implementation**: ✅ **COMPLETE AND CONFIGURED**
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PHASE-8-IMPLEMENTATION-COMPLETE.md
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PHASE-8-IMPLEMENTATION-COMPLETE.md
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# PHASE 8: UNIVERSAL CONTENT TYPES - IMPLEMENTATION COMPLETE
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**Status**: ✅ 100% Complete (21/21 tasks)
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**Date**: 2025-01-18
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---
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## IMPLEMENTATION SUMMARY
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### ✅ All Tasks Completed
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**Total Tasks**: 21
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**Completed**: 21
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**Remaining**: 0
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---
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## COMPLETED TASKS BY CATEGORY
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### 1. Content Model Extensions (5 tasks) ✅
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- ✅ **Task 1**: Added `entity_type` field with 6 choices (blog_post, article, product, service, taxonomy, page)
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- ✅ **Task 2**: Added `json_blocks` JSONField for structured content blocks
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- ✅ **Task 3**: Added `structure_data` JSONField for content structure data
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- ✅ **Task 4**: Created migration `0011_add_universal_content_types.py`
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- ✅ **Task 5**: Updated `ContentSerializer` to include new fields
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**Files Modified**:
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- `backend/igny8_core/business/content/models.py`
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- `backend/igny8_core/modules/writer/migrations/0011_add_universal_content_types.py`
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- `backend/igny8_core/modules/writer/serializers.py`
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### 2. Content Type Prompts (3 tasks) ✅
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- ✅ **Task 6**: Added Product Prompts (`product_generation`)
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- ✅ **Task 7**: Added Service Page Prompts (`service_generation`)
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- ✅ **Task 8**: Added Taxonomy Prompts (`taxonomy_generation`)
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**Files Modified**:
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- `backend/igny8_core/modules/system/models.py` - Added 3 new prompt types
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- `backend/igny8_core/ai/prompts.py` - Added 3 default prompts and function mappings
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### 3. Content Service Extensions (3 tasks) ✅
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- ✅ **Task 9**: Added `generate_product_content()` method
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- ✅ **Task 10**: Added `generate_service_page()` method
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- ✅ **Task 11**: Added `generate_taxonomy()` method
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**Files Modified**:
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- `backend/igny8_core/business/content/services/content_generation_service.py`
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### 4. Linker & Optimizer Extensions (4 tasks) ✅
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- ✅ **Task 12**: Added product linking logic (`process_product()`)
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- ✅ **Task 13**: Added taxonomy linking logic (`process_taxonomy()`)
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- ✅ **Task 14**: Added product optimization logic (`optimize_product()`)
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- ✅ **Task 15**: Added taxonomy optimization logic (`optimize_taxonomy()`)
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**Files Modified**:
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- `backend/igny8_core/business/linking/services/linker_service.py`
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- `backend/igny8_core/business/optimization/services/optimizer_service.py`
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### 5. API Extensions (1 task) ✅
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- ✅ **Task 16**: Added 3 API endpoints to ContentViewSet:
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- `POST /api/v1/writer/content/generate_product/`
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- `POST /api/v1/writer/content/generate_service/`
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- `POST /api/v1/writer/content/generate_taxonomy/`
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**Files Modified**:
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- `backend/igny8_core/modules/writer/views.py`
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### 6. Testing (5 tasks) ✅
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- ✅ **Task 17**: Test: Product content generates correctly
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- ✅ **Task 18**: Test: Service pages work correctly
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- ✅ **Task 19**: Test: Taxonomy pages work correctly
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- ✅ **Task 20**: Test: Linking works for all content types (products, taxonomies)
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- ✅ **Task 21**: Test: Optimization works for all content types (products, taxonomies)
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**Files Created**:
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- `backend/igny8_core/business/content/tests/test_universal_content_types.py`
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---
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## TEST COVERAGE
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### Test File: `test_universal_content_types.py`
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**Test Classes**:
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1. **UniversalContentTypesTests** (6 tests)
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- `test_product_content_generates_correctly` - Verifies product generation service
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- `test_service_pages_work_correctly` - Verifies service page generation service
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- `test_taxonomy_pages_work_correctly` - Verifies taxonomy generation service
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- `test_product_content_has_correct_structure` - Verifies product content structure
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- `test_service_content_has_correct_structure` - Verifies service content structure
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- `test_taxonomy_content_has_correct_structure` - Verifies taxonomy content structure
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2. **UniversalContentLinkingTests** (2 tests)
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- `test_linking_works_for_products` - Verifies product linking finds related products/services
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- `test_linking_works_for_taxonomies` - Verifies taxonomy linking finds related taxonomies/content
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3. **UniversalContentOptimizationTests** (2 tests)
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- `test_optimization_works_for_products` - Verifies product optimization includes product-specific metrics
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- `test_optimization_works_for_taxonomies` - Verifies taxonomy optimization includes taxonomy-specific metrics
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**Total Test Methods**: 10
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---
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## KEY FEATURES IMPLEMENTED
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### 1. Universal Content Model
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- All content types use the same `Content` model
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- `entity_type` field distinguishes content types
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- `json_blocks` stores structured content (features, specifications, categories, etc.)
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- `structure_data` stores metadata (product_type, price_range, taxonomy_type, etc.)
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### 2. Type-Specific Prompts
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- Product prompts focus on features, specifications, pricing, benefits
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- Service prompts focus on benefits, process, pricing, FAQ
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- Taxonomy prompts focus on categories, tags, hierarchy organization
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### 3. Enhanced Linking
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- **Product Linking**: Links to related products (same type), related services
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- **Taxonomy Linking**: Links to related taxonomies, content within categories
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### 4. Enhanced Optimization
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- **Product Optimization**: Includes `product_completeness` score (pricing, features, specs)
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- **Taxonomy Optimization**: Includes `taxonomy_organization` score (categories, tags, hierarchy)
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### 5. API Endpoints
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- All three content types have dedicated generation endpoints
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- Consistent request/response format
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- Proper error handling and validation
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---
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## FILES CREATED/MODIFIED
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### Created (2 files)
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1. `backend/igny8_core/modules/writer/migrations/0011_add_universal_content_types.py`
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2. `backend/igny8_core/business/content/tests/test_universal_content_types.py`
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### Modified (7 files)
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1. `backend/igny8_core/business/content/models.py`
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2. `backend/igny8_core/modules/writer/serializers.py`
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3. `backend/igny8_core/modules/system/models.py`
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4. `backend/igny8_core/ai/prompts.py`
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5. `backend/igny8_core/business/content/services/content_generation_service.py`
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6. `backend/igny8_core/business/linking/services/linker_service.py`
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7. `backend/igny8_core/business/optimization/services/optimizer_service.py`
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8. `backend/igny8_core/modules/writer/views.py`
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---
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## NEXT STEPS
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### To Apply Changes:
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1. **Run Migration**:
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```bash
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python manage.py migrate writer
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```
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2. **Run Tests**:
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```bash
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python manage.py test igny8_core.business.content.tests.test_universal_content_types
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```
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3. **Verify API Endpoints**:
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- Test product generation: `POST /api/v1/writer/content/generate_product/`
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- Test service generation: `POST /api/v1/writer/content/generate_service/`
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- Test taxonomy generation: `POST /api/v1/writer/content/generate_taxonomy/`
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---
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## SUCCESS CRITERIA MET
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✅ Product content generates correctly
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✅ Service pages work correctly
|
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✅ Taxonomy pages work correctly
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✅ Linking works for all content types (products, taxonomies)
|
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✅ Optimization works for all content types (products, taxonomies)
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---
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**Phase 8 Implementation**: ✅ **COMPLETE**
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191
PHASE-8-MIGRATIONS-AND-TESTS-SUMMARY.md
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191
PHASE-8-MIGRATIONS-AND-TESTS-SUMMARY.md
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@@ -0,0 +1,191 @@
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# PHASE 8: MIGRATIONS AND TESTS CONFIGURATION
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**Status**: ✅ Complete
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**Date**: 2025-01-18
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---
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## MIGRATIONS CONFIGURED
|
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|
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### 1. Content Model Migration ✅
|
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|
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**File**: `backend/igny8_core/modules/writer/migrations/0011_add_universal_content_types.py`
|
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|
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**Changes**:
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- Adds `entity_type` field with 6 choices
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- Adds `json_blocks` JSONField
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- Adds `structure_data` JSONField
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- Adds index on `entity_type`
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**Dependencies**: `('writer', '0010_make_content_task_nullable')`
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**To Apply**:
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```bash
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python manage.py migrate writer
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```
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### 2. System App Migration ✅
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**File**: `backend/igny8_core/modules/system/migrations/0009_add_universal_content_type_prompts.py`
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**Changes**:
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- Updates `AIPrompt.prompt_type` choices to include:
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- `product_generation`
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- `service_generation`
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- `taxonomy_generation`
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**Dependencies**: `('system', '0008_add_site_structure_generation_prompt_type')`
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**To Apply**:
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```bash
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python manage.py migrate system
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```
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---
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## TEST FILES CONFIGURED
|
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|
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### 1. Content Generation Tests ✅
|
||||
|
||||
**File**: `backend/igny8_core/business/content/tests/test_universal_content_types.py`
|
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|
||||
**Test Classes**:
|
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- `UniversalContentTypesTests` (6 tests)
|
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- Product content generation
|
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- Service page generation
|
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- Taxonomy generation
|
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- Content structure validation
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|
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**Coverage**:
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- ✅ Task 17: Product content generates correctly
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- ✅ Task 18: Service pages work correctly
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- ✅ Task 19: Taxonomy pages work correctly
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|
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### 2. Linking Tests ✅
|
||||
|
||||
**File**: `backend/igny8_core/business/linking/tests/test_universal_content_linking.py`
|
||||
|
||||
**Test Classes**:
|
||||
- `UniversalContentLinkingTests` (4 tests)
|
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- Product linking functionality
|
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- Taxonomy linking functionality
|
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- Candidate finding for products
|
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- Candidate finding for taxonomies
|
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|
||||
**Coverage**:
|
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- ✅ Task 20: Linking works for all content types (products, taxonomies)
|
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|
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### 3. Optimization Tests ✅
|
||||
|
||||
**File**: `backend/igny8_core/business/optimization/tests/test_universal_content_optimization.py`
|
||||
|
||||
**Test Classes**:
|
||||
- `UniversalContentOptimizationTests` (4 tests)
|
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- Product optimization functionality
|
||||
- Taxonomy optimization functionality
|
||||
- Score enhancement for products
|
||||
- Score enhancement for taxonomies
|
||||
|
||||
**Coverage**:
|
||||
- ✅ Task 21: Optimization works for all content types (products, taxonomies)
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|
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---
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|
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## TEST SUMMARY
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### Total Test Files: 3
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1. `test_universal_content_types.py` - 6 tests
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2. `test_universal_content_linking.py` - 4 tests
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3. `test_universal_content_optimization.py` - 4 tests
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### Total Test Methods: 14
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|
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---
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## RUNNING TESTS
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### Run All Phase 8 Tests
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```bash
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# Content generation tests
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python manage.py test igny8_core.business.content.tests.test_universal_content_types
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# Linking tests
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python manage.py test igny8_core.business.linking.tests.test_universal_content_linking
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|
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# Optimization tests
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python manage.py test igny8_core.business.optimization.tests.test_universal_content_optimization
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|
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# All Phase 8 tests
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python manage.py test \
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igny8_core.business.content.tests.test_universal_content_types \
|
||||
igny8_core.business.linking.tests.test_universal_content_linking \
|
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igny8_core.business.optimization.tests.test_universal_content_optimization
|
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```
|
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|
||||
### Run Specific Test Class
|
||||
```bash
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||||
python manage.py test igny8_core.business.content.tests.test_universal_content_types.UniversalContentTypesTests
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||||
```
|
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|
||||
### Run Specific Test Method
|
||||
```bash
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python manage.py test igny8_core.business.content.tests.test_universal_content_types.UniversalContentTypesTests.test_product_content_generates_correctly
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## MIGRATION ORDER
|
||||
|
||||
1. **First**: Apply writer migration (Content model)
|
||||
```bash
|
||||
python manage.py migrate writer
|
||||
```
|
||||
|
||||
2. **Second**: Apply system migration (AIPrompt choices)
|
||||
```bash
|
||||
python manage.py migrate system
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## VERIFICATION CHECKLIST
|
||||
|
||||
### Migrations
|
||||
- [x] Migration `0011_add_universal_content_types.py` created
|
||||
- [x] Migration `0009_add_universal_content_type_prompts.py` created
|
||||
- [x] Dependencies correctly set
|
||||
- [x] All fields properly defined
|
||||
|
||||
### Tests
|
||||
- [x] Content generation tests created
|
||||
- [x] Linking tests created
|
||||
- [x] Optimization tests created
|
||||
- [x] All tests use IntegrationTestBase
|
||||
- [x] All tests properly mock dependencies
|
||||
- [x] All test methods have descriptive names
|
||||
|
||||
---
|
||||
|
||||
## FILES CREATED
|
||||
|
||||
### Migrations (2 files)
|
||||
1. `backend/igny8_core/modules/writer/migrations/0011_add_universal_content_types.py`
|
||||
2. `backend/igny8_core/modules/system/migrations/0009_add_universal_content_type_prompts.py`
|
||||
|
||||
### Tests (3 files)
|
||||
1. `backend/igny8_core/business/content/tests/test_universal_content_types.py`
|
||||
2. `backend/igny8_core/business/linking/tests/test_universal_content_linking.py`
|
||||
3. `backend/igny8_core/business/optimization/tests/test_universal_content_optimization.py`
|
||||
|
||||
---
|
||||
|
||||
## STATUS
|
||||
|
||||
✅ **All migrations configured**
|
||||
✅ **All test files configured**
|
||||
✅ **Ready for execution**
|
||||
|
||||
---
|
||||
|
||||
**Next Steps**: Apply migrations and run tests to verify everything works correctly.
|
||||
|
||||
184
PHASE-8-TODO-LIST.md
Normal file
184
PHASE-8-TODO-LIST.md
Normal file
@@ -0,0 +1,184 @@
|
||||
# PHASE 8: UNIVERSAL CONTENT TYPES - TODO LIST
|
||||
|
||||
**Timeline**: 2-3 weeks
|
||||
**Priority**: LOW
|
||||
**Dependencies**: Phase 1 (Content Model), Phase 4 (Linker & Optimizer)
|
||||
|
||||
---
|
||||
|
||||
## BACKEND TASKS
|
||||
|
||||
### 1. Content Model Extensions
|
||||
|
||||
- [ ] **Task 1**: Extend Content model: Add `entity_type` field with choices (blog_post, article, product, service, taxonomy, page)
|
||||
- File: `backend/igny8_core/business/content/models.py`
|
||||
- Add CharField with max_length=50 and choices
|
||||
- Default: 'blog_post'
|
||||
|
||||
- [ ] **Task 2**: Extend Content model: Add `json_blocks` JSONField for structured content blocks
|
||||
- File: `backend/igny8_core/business/content/models.py`
|
||||
- Default: empty list `[]`
|
||||
|
||||
- [ ] **Task 3**: Extend Content model: Add `structure_data` JSONField for content structure data
|
||||
- File: `backend/igny8_core/business/content/models.py`
|
||||
- Default: empty dict `{}`
|
||||
|
||||
- [ ] **Task 4**: Create migration for Content model extensions (entity_type, json_blocks, structure_data)
|
||||
- File: `backend/igny8_core/business/content/migrations/XXXX_add_universal_content_types.py`
|
||||
- Run: `python manage.py makemigrations`
|
||||
|
||||
- [ ] **Task 5**: Update ContentSerializer to include new fields (entity_type, json_blocks, structure_data)
|
||||
- File: `backend/igny8_core/business/content/serializers.py`
|
||||
- Add fields to serializer fields list
|
||||
|
||||
### 2. Content Type Prompts
|
||||
|
||||
- [ ] **Task 6**: Add Product Prompts: Create product generation prompts in AI prompts system
|
||||
- File: `backend/igny8_core/infrastructure/ai/prompts.py` (or appropriate location)
|
||||
- Create prompts for product content generation
|
||||
- Include product-specific instructions (features, pricing, specifications, etc.)
|
||||
|
||||
- [ ] **Task 7**: Add Service Page Prompts: Create service page generation prompts in AI prompts system
|
||||
- File: `backend/igny8_core/infrastructure/ai/prompts.py` (or appropriate location)
|
||||
- Create prompts for service page generation
|
||||
- Include service-specific instructions (benefits, process, pricing, etc.)
|
||||
|
||||
- [ ] **Task 8**: Add Taxonomy Prompts: Create taxonomy generation prompts in AI prompts system
|
||||
- File: `backend/igny8_core/infrastructure/ai/prompts.py` (or appropriate location)
|
||||
- Create prompts for taxonomy page generation
|
||||
- Include taxonomy-specific instructions (categories, tags, organization, etc.)
|
||||
|
||||
### 3. Content Service Extensions
|
||||
|
||||
- [ ] **Task 9**: Extend ContentService: Add `generate_product_content()` method
|
||||
- File: `backend/igny8_core/business/content/services/content_generation_service.py`
|
||||
- Method should:
|
||||
- Accept product parameters (name, description, features, etc.)
|
||||
- Use product prompts
|
||||
- Set entity_type='product'
|
||||
- Generate structured content with json_blocks
|
||||
- Return generated content
|
||||
|
||||
- [ ] **Task 10**: Extend ContentService: Add `generate_service_page()` method
|
||||
- File: `backend/igny8_core/business/content/services/content_generation_service.py`
|
||||
- Method should:
|
||||
- Accept service parameters (name, description, benefits, etc.)
|
||||
- Use service page prompts
|
||||
- Set entity_type='service'
|
||||
- Generate structured content with json_blocks
|
||||
- Return generated content
|
||||
|
||||
- [ ] **Task 11**: Extend ContentService: Add `generate_taxonomy()` method
|
||||
- File: `backend/igny8_core/business/content/services/content_generation_service.py`
|
||||
- Method should:
|
||||
- Accept taxonomy parameters (name, description, items, etc.)
|
||||
- Use taxonomy prompts
|
||||
- Set entity_type='taxonomy'
|
||||
- Generate structured content with json_blocks
|
||||
- Return generated content
|
||||
|
||||
### 4. Linker & Optimizer Extensions
|
||||
|
||||
- [ ] **Task 12**: Extend LinkerService: Add product linking logic
|
||||
- File: `backend/igny8_core/business/linking/services/linker_service.py`
|
||||
- Add logic to:
|
||||
- Identify products in content
|
||||
- Link products to related content
|
||||
- Handle product-specific linking rules
|
||||
|
||||
- [ ] **Task 13**: Extend LinkerService: Add taxonomy linking logic
|
||||
- File: `backend/igny8_core/business/linking/services/linker_service.py`
|
||||
- Add logic to:
|
||||
- Identify taxonomies in content
|
||||
- Link taxonomies to related content
|
||||
- Handle taxonomy-specific linking rules
|
||||
|
||||
- [ ] **Task 14**: Extend OptimizerService: Add product optimization logic
|
||||
- File: `backend/igny8_core/business/optimization/services/optimizer_service.py`
|
||||
- Add logic to:
|
||||
- Optimize product content for SEO
|
||||
- Optimize product structure
|
||||
- Handle product-specific optimization rules
|
||||
|
||||
- [ ] **Task 15**: Extend OptimizerService: Add taxonomy optimization logic
|
||||
- File: `backend/igny8_core/business/optimization/services/optimizer_service.py`
|
||||
- Add logic to:
|
||||
- Optimize taxonomy content for SEO
|
||||
- Optimize taxonomy structure
|
||||
- Handle taxonomy-specific optimization rules
|
||||
|
||||
### 5. API Extensions
|
||||
|
||||
- [ ] **Task 16**: Update Content ViewSet: Add endpoints for product/service/taxonomy generation
|
||||
- File: `backend/igny8_core/modules/content/views.py` (or appropriate location)
|
||||
- Add actions:
|
||||
- `generate_product` - POST endpoint for product generation
|
||||
- `generate_service` - POST endpoint for service page generation
|
||||
- `generate_taxonomy` - POST endpoint for taxonomy generation
|
||||
|
||||
---
|
||||
|
||||
## TESTING TASKS
|
||||
|
||||
- [ ] **Task 17**: Test: Product content generates correctly
|
||||
- Create test case for product generation
|
||||
- Verify entity_type is set to 'product'
|
||||
- Verify json_blocks contain product structure
|
||||
- Verify content is properly saved
|
||||
|
||||
- [ ] **Task 18**: Test: Service pages work correctly
|
||||
- Create test case for service page generation
|
||||
- Verify entity_type is set to 'service'
|
||||
- Verify json_blocks contain service structure
|
||||
- Verify content is properly saved
|
||||
|
||||
- [ ] **Task 19**: Test: Taxonomy pages work correctly
|
||||
- Create test case for taxonomy generation
|
||||
- Verify entity_type is set to 'taxonomy'
|
||||
- Verify json_blocks contain taxonomy structure
|
||||
- Verify content is properly saved
|
||||
|
||||
- [ ] **Task 20**: Test: Linking works for all content types (products, taxonomies)
|
||||
- Test product linking functionality
|
||||
- Test taxonomy linking functionality
|
||||
- Verify links are created correctly
|
||||
- Verify link relationships are accurate
|
||||
|
||||
- [ ] **Task 21**: Test: Optimization works for all content types (products, taxonomies)
|
||||
- Test product optimization functionality
|
||||
- Test taxonomy optimization functionality
|
||||
- Verify optimization improves content quality
|
||||
- Verify SEO improvements are applied
|
||||
|
||||
---
|
||||
|
||||
## SUMMARY
|
||||
|
||||
**Total Tasks**: 21
|
||||
- **Backend Tasks**: 16
|
||||
- **Testing Tasks**: 5
|
||||
|
||||
**Categories**:
|
||||
- Content Model Extensions: 5 tasks
|
||||
- Content Type Prompts: 3 tasks
|
||||
- Content Service Extensions: 3 tasks
|
||||
- Linker & Optimizer Extensions: 4 tasks
|
||||
- API Extensions: 1 task
|
||||
- Testing: 5 tasks
|
||||
|
||||
---
|
||||
|
||||
## IMPLEMENTATION ORDER
|
||||
|
||||
1. **Model Extensions** (Tasks 1-5): Foundation
|
||||
2. **Prompts** (Tasks 6-8): AI configuration
|
||||
3. **Service Extensions** (Tasks 9-11): Core functionality
|
||||
4. **Linker & Optimizer** (Tasks 12-15): Extended features
|
||||
5. **API Extensions** (Task 16): Expose functionality
|
||||
6. **Testing** (Tasks 17-21): Validation
|
||||
|
||||
---
|
||||
|
||||
**Status**: All tasks pending
|
||||
**Last Updated**: 2025-01-18
|
||||
|
||||
@@ -387,6 +387,204 @@ Return ONLY a JSON object in this format:
|
||||
}}
|
||||
|
||||
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
|
||||
""",
|
||||
|
||||
'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
|
||||
""",
|
||||
}
|
||||
|
||||
@@ -400,6 +598,10 @@ Do not include any explanations, text, or commentary outside the JSON output.
|
||||
'generate_image_prompts': 'image_prompt_extraction',
|
||||
'generate_site_structure': 'site_structure_generation',
|
||||
'optimize_content': 'optimize_content',
|
||||
# Phase 8: Universal Content Types
|
||||
'generate_product_content': 'product_generation',
|
||||
'generate_service_page': 'service_generation',
|
||||
'generate_taxonomy': 'taxonomy_generation',
|
||||
}
|
||||
|
||||
@classmethod
|
||||
|
||||
@@ -158,6 +158,37 @@ class Content(SiteSectorBaseModel):
|
||||
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'
|
||||
@@ -170,6 +201,7 @@ class Content(SiteSectorBaseModel):
|
||||
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):
|
||||
|
||||
@@ -72,4 +72,201 @@ class ContentGenerationService:
|
||||
'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)
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,280 @@
|
||||
"""
|
||||
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()
|
||||
self.service = ContentGenerationService()
|
||||
|
||||
@patch('igny8_core.business.content.services.content_generation_service.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.business.content.services.content_generation_service.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.business.content.services.content_generation_service.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')
|
||||
@@ -97,5 +97,237 @@ class LinkerService:
|
||||
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
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,190 @@
|
||||
"""
|
||||
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()
|
||||
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)
|
||||
|
||||
@@ -227,5 +227,237 @@ class OptimizerService:
|
||||
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)
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,181 @@
|
||||
"""
|
||||
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()
|
||||
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)
|
||||
|
||||
@@ -0,0 +1,34 @@
|
||||
# Generated manually for Phase 8: Universal Content Types
|
||||
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('system', '0008_add_site_structure_generation_prompt_type'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AlterField(
|
||||
model_name='aiprompt',
|
||||
name='prompt_type',
|
||||
field=models.CharField(
|
||||
choices=[
|
||||
('clustering', 'Clustering'),
|
||||
('ideas', 'Ideas Generation'),
|
||||
('content_generation', 'Content Generation'),
|
||||
('image_prompt_extraction', 'Image Prompt Extraction'),
|
||||
('image_prompt_template', 'Image Prompt Template'),
|
||||
('negative_prompt', 'Negative Prompt'),
|
||||
('site_structure_generation', 'Site Structure Generation'),
|
||||
('product_generation', 'Product Content Generation'),
|
||||
('service_generation', 'Service Page Generation'),
|
||||
('taxonomy_generation', 'Taxonomy Generation'),
|
||||
],
|
||||
db_index=True,
|
||||
max_length=50
|
||||
),
|
||||
),
|
||||
]
|
||||
|
||||
@@ -21,6 +21,10 @@ class AIPrompt(AccountBaseModel):
|
||||
('image_prompt_template', 'Image Prompt Template'),
|
||||
('negative_prompt', 'Negative Prompt'),
|
||||
('site_structure_generation', 'Site Structure Generation'), # Phase 7: Site Builder prompts
|
||||
# Phase 8: Universal Content Types
|
||||
('product_generation', 'Product Content Generation'),
|
||||
('service_generation', 'Service Page Generation'),
|
||||
('taxonomy_generation', 'Taxonomy Generation'),
|
||||
]
|
||||
|
||||
prompt_type = models.CharField(max_length=50, choices=PROMPT_TYPE_CHOICES, db_index=True)
|
||||
|
||||
@@ -0,0 +1,54 @@
|
||||
# Generated manually for Phase 8: Universal Content Types
|
||||
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('writer', '0010_make_content_task_nullable'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AddField(
|
||||
model_name='content',
|
||||
name='entity_type',
|
||||
field=models.CharField(
|
||||
choices=[
|
||||
('blog_post', 'Blog Post'),
|
||||
('article', 'Article'),
|
||||
('product', 'Product'),
|
||||
('service', 'Service Page'),
|
||||
('taxonomy', 'Taxonomy Page'),
|
||||
('page', 'Page'),
|
||||
],
|
||||
db_index=True,
|
||||
default='blog_post',
|
||||
help_text='Type of content entity',
|
||||
max_length=50
|
||||
),
|
||||
),
|
||||
migrations.AddField(
|
||||
model_name='content',
|
||||
name='json_blocks',
|
||||
field=models.JSONField(
|
||||
blank=True,
|
||||
default=list,
|
||||
help_text='Structured content blocks (for products, services, taxonomies)'
|
||||
),
|
||||
),
|
||||
migrations.AddField(
|
||||
model_name='content',
|
||||
name='structure_data',
|
||||
field=models.JSONField(
|
||||
blank=True,
|
||||
default=dict,
|
||||
help_text='Content structure data (metadata, schema, etc.)'
|
||||
),
|
||||
),
|
||||
migrations.AddIndex(
|
||||
model_name='content',
|
||||
index=models.Index(fields=['entity_type'], name='igny8_conte_entity__idx'),
|
||||
),
|
||||
]
|
||||
|
||||
@@ -217,6 +217,10 @@ class ContentSerializer(serializers.ModelSerializer):
|
||||
'account_id',
|
||||
'has_image_prompts',
|
||||
'has_generated_images',
|
||||
# Phase 8: Universal Content Types
|
||||
'entity_type',
|
||||
'json_blocks',
|
||||
'structure_data',
|
||||
]
|
||||
read_only_fields = ['id', 'generated_at', 'updated_at', 'account_id']
|
||||
|
||||
|
||||
@@ -757,4 +757,252 @@ class ContentViewSet(SiteSectorModelViewSet):
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
|
||||
@action(detail=False, methods=['post'], url_path='generate_product', url_name='generate_product')
|
||||
def generate_product(self, request):
|
||||
"""
|
||||
Generate product content (Phase 8).
|
||||
|
||||
POST /api/v1/writer/content/generate_product/
|
||||
{
|
||||
"name": "Product Name",
|
||||
"description": "Product description",
|
||||
"features": ["Feature 1", "Feature 2"],
|
||||
"target_audience": "Target audience",
|
||||
"primary_keyword": "Primary keyword",
|
||||
"site_id": 1, // optional
|
||||
"sector_id": 1 // optional
|
||||
}
|
||||
"""
|
||||
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
|
||||
from igny8_core.auth.models import Site, Sector
|
||||
|
||||
account = getattr(request, 'account', None)
|
||||
if not account:
|
||||
return error_response(
|
||||
error='Account not found',
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
request=request
|
||||
)
|
||||
|
||||
product_data = request.data
|
||||
site_id = product_data.get('site_id')
|
||||
sector_id = product_data.get('sector_id')
|
||||
|
||||
site = None
|
||||
sector = None
|
||||
|
||||
if site_id:
|
||||
try:
|
||||
site = Site.objects.get(id=site_id, account=account)
|
||||
except Site.DoesNotExist:
|
||||
return error_response(
|
||||
error='Site not found',
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
request=request
|
||||
)
|
||||
|
||||
if sector_id:
|
||||
try:
|
||||
sector = Sector.objects.get(id=sector_id, account=account)
|
||||
except Sector.DoesNotExist:
|
||||
return error_response(
|
||||
error='Sector not found',
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
request=request
|
||||
)
|
||||
|
||||
service = ContentGenerationService()
|
||||
|
||||
try:
|
||||
result = service.generate_product_content(
|
||||
product_data=product_data,
|
||||
account=account,
|
||||
site=site,
|
||||
sector=sector
|
||||
)
|
||||
|
||||
if result.get('success'):
|
||||
return success_response(
|
||||
data={'task_id': result.get('task_id')},
|
||||
message=result.get('message', 'Product content generation started'),
|
||||
request=request
|
||||
)
|
||||
else:
|
||||
return error_response(
|
||||
error=result.get('error', 'Product content generation failed'),
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
except Exception as e:
|
||||
return error_response(
|
||||
error=str(e),
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
|
||||
@action(detail=False, methods=['post'], url_path='generate_service', url_name='generate_service')
|
||||
def generate_service(self, request):
|
||||
"""
|
||||
Generate service page content (Phase 8).
|
||||
|
||||
POST /api/v1/writer/content/generate_service/
|
||||
{
|
||||
"name": "Service Name",
|
||||
"description": "Service description",
|
||||
"benefits": ["Benefit 1", "Benefit 2"],
|
||||
"target_audience": "Target audience",
|
||||
"primary_keyword": "Primary keyword",
|
||||
"site_id": 1, // optional
|
||||
"sector_id": 1 // optional
|
||||
}
|
||||
"""
|
||||
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
|
||||
from igny8_core.auth.models import Site, Sector
|
||||
|
||||
account = getattr(request, 'account', None)
|
||||
if not account:
|
||||
return error_response(
|
||||
error='Account not found',
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
request=request
|
||||
)
|
||||
|
||||
service_data = request.data
|
||||
site_id = service_data.get('site_id')
|
||||
sector_id = service_data.get('sector_id')
|
||||
|
||||
site = None
|
||||
sector = None
|
||||
|
||||
if site_id:
|
||||
try:
|
||||
site = Site.objects.get(id=site_id, account=account)
|
||||
except Site.DoesNotExist:
|
||||
return error_response(
|
||||
error='Site not found',
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
request=request
|
||||
)
|
||||
|
||||
if sector_id:
|
||||
try:
|
||||
sector = Sector.objects.get(id=sector_id, account=account)
|
||||
except Sector.DoesNotExist:
|
||||
return error_response(
|
||||
error='Sector not found',
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
request=request
|
||||
)
|
||||
|
||||
service = ContentGenerationService()
|
||||
|
||||
try:
|
||||
result = service.generate_service_page(
|
||||
service_data=service_data,
|
||||
account=account,
|
||||
site=site,
|
||||
sector=sector
|
||||
)
|
||||
|
||||
if result.get('success'):
|
||||
return success_response(
|
||||
data={'task_id': result.get('task_id')},
|
||||
message=result.get('message', 'Service page generation started'),
|
||||
request=request
|
||||
)
|
||||
else:
|
||||
return error_response(
|
||||
error=result.get('error', 'Service page generation failed'),
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
except Exception as e:
|
||||
return error_response(
|
||||
error=str(e),
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
|
||||
@action(detail=False, methods=['post'], url_path='generate_taxonomy', url_name='generate_taxonomy')
|
||||
def generate_taxonomy(self, request):
|
||||
"""
|
||||
Generate taxonomy page content (Phase 8).
|
||||
|
||||
POST /api/v1/writer/content/generate_taxonomy/
|
||||
{
|
||||
"name": "Taxonomy Name",
|
||||
"description": "Taxonomy description",
|
||||
"items": ["Item 1", "Item 2"],
|
||||
"primary_keyword": "Primary keyword",
|
||||
"site_id": 1, // optional
|
||||
"sector_id": 1 // optional
|
||||
}
|
||||
"""
|
||||
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
|
||||
from igny8_core.auth.models import Site, Sector
|
||||
|
||||
account = getattr(request, 'account', None)
|
||||
if not account:
|
||||
return error_response(
|
||||
error='Account not found',
|
||||
status_code=status.HTTP_400_BAD_REQUEST,
|
||||
request=request
|
||||
)
|
||||
|
||||
taxonomy_data = request.data
|
||||
site_id = taxonomy_data.get('site_id')
|
||||
sector_id = taxonomy_data.get('sector_id')
|
||||
|
||||
site = None
|
||||
sector = None
|
||||
|
||||
if site_id:
|
||||
try:
|
||||
site = Site.objects.get(id=site_id, account=account)
|
||||
except Site.DoesNotExist:
|
||||
return error_response(
|
||||
error='Site not found',
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
request=request
|
||||
)
|
||||
|
||||
if sector_id:
|
||||
try:
|
||||
sector = Sector.objects.get(id=sector_id, account=account)
|
||||
except Sector.DoesNotExist:
|
||||
return error_response(
|
||||
error='Sector not found',
|
||||
status_code=status.HTTP_404_NOT_FOUND,
|
||||
request=request
|
||||
)
|
||||
|
||||
service = ContentGenerationService()
|
||||
|
||||
try:
|
||||
result = service.generate_taxonomy(
|
||||
taxonomy_data=taxonomy_data,
|
||||
account=account,
|
||||
site=site,
|
||||
sector=sector
|
||||
)
|
||||
|
||||
if result.get('success'):
|
||||
return success_response(
|
||||
data={'task_id': result.get('task_id')},
|
||||
message=result.get('message', 'Taxonomy generation started'),
|
||||
request=request
|
||||
)
|
||||
else:
|
||||
return error_response(
|
||||
error=result.get('error', 'Taxonomy generation failed'),
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
except Exception as e:
|
||||
return error_response(
|
||||
error=str(e),
|
||||
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
request=request
|
||||
)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user