90 lines
2.8 KiB
Markdown
90 lines
2.8 KiB
Markdown
# Content Strategy Implementation Status (Verified)
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_Last verified: May 26, 2026_
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This page reflects a static code review of the **current implementation** and supersedes older roadmap claims in internal notes.
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## What is implemented now
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### Backend service architecture
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Implemented modular service structure under:
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- `backend/api/content_planning/services/content_strategy/core/`
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- `backend/api/content_planning/services/content_strategy/ai_analysis/`
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- `backend/api/content_planning/services/content_strategy/onboarding/`
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- `backend/api/content_planning/services/content_strategy/performance/`
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- `backend/api/content_planning/services/content_strategy/utils/`
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### AI analysis module
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Implemented:
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- AI recommendation and analysis services
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- Prompt engineering support
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- Quality validation paths
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- Multiple analysis modes and fallback handling
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Key files:
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- `ai_analysis/ai_recommendations.py`
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- `ai_analysis/prompt_engineering.py`
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- `ai_analysis/quality_validation.py`
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- `ai_analysis/strategy_analyzer.py`
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### Onboarding integration
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Implemented (not placeholder-only):
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- Onboarding data aggregation/integration
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- Field transformation from onboarding inputs to strategy fields
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- Data quality assessment scaffolding and scoring paths
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Key files:
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- `onboarding/data_integration.py`
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- `onboarding/field_transformation.py`
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- `onboarding/data_quality.py`
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### Core strategy orchestration
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Implemented:
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- Main strategy service orchestration
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- Constants and field mapping support
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- API endpoint wiring in content strategy route modules
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Key files:
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- `core/strategy_service.py`
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- `core/constants.py`
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- `core/field_mappings.py`
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## Partially implemented / needs hardening
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### Performance layer
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Files exist and are wired, but should be treated as **hardening required** for production-grade behavior:
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- `performance/caching.py`
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- `performance/optimization.py`
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- `performance/health_monitoring.py`
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Recommended hardening:
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- Redis TTL policy verification
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- cache invalidation consistency
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- dependency health telemetry and alertability
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### Utility + transformation overlap
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There is overlap risk between:
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- `onboarding/field_transformation.py`
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- `utils/data_processors.py`
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Recommended hardening:
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- define one canonical transformation path
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- align confidence/data-quality contract across services
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## Not yet complete (from roadmap perspective)
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- Advanced real-time analytics dashboards
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- fully matured predictive insights / ML workflows
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- enterprise collaboration workflows (versioning/approval patterns)
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## Documentation policy
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For public docs-site pages:
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1. Treat this page as implementation truth for status language.
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2. Use "implemented", "partial", or "planned" only when mapped to concrete files.
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3. Avoid stale milestone dates; use explicit verification dates.
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For internal docs in `docs/`:
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- keep architecture notes and historical plans,
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- but avoid status claims that conflict with this verified page.
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