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Implementation Status

Project: engine-mcp Version: 2.0 Last Updated: 2025-10-05 Approach: Placeholder-first, then incremental real implementation

Overview

This document tracks the implementation status of all features. We start with all features using placeholders, then replace them incrementally one integration at a time.

Status Legend

  • ✅ REAL - Production-ready implementation with real API calls
  • 🔄 PLACEHOLDER - Mock implementation for testing workflow
  • ⏸️ NOT STARTED - Not yet implemented (placeholder or real)
  • ⚠️ PARTIAL - Some parts real, some placeholder

Week 1 Deliverables ✅ COMPLETED

Database & Infrastructure

Feature Status Notes
PostgreSQL Schema ✅ REAL All tables, indexes, triggers created
pgvector Extension ✅ REAL Vector similarity search enabled (1536 dims)
Database Client ✅ REAL Supabase SDK with async operations
Supabase Integration ✅ REAL Local instance running, migrations applied
Background Jobs ✅ REAL asyncio.create_task() for non-blocking processing

Models & Validation

Feature Status Notes
Project Model ✅ REAL Pydantic v2 with validation
SourceVideo Model ✅ REAL Multi-platform support (YouTube, TikTok, etc.)
Quote Model ✅ REAL Speech clips with embeddings, scores
Asset Model ✅ REAL Visual footage with embeddings
Script Models ✅ REAL Scripts, segments, visual layers
Cost Tracking Models ✅ REAL API cost tracking by provider
Enum Definitions ✅ REAL Platform, JobType, JobStatus, etc.

Integrations

Integration Status Contract Tested Timing Notes
Gemini 2.5 Flash ✅ REAL ✅ YES ~48s/video Real video analysis with structured JSON
OpenAI Embeddings ✅ REAL ✅ YES <1s text-embedding-3-small (1536 dims)
ElevenLabs TTS ⏸️ NOT STARTED ⏸️ NO - TTS with word timestamps (TBI)
YouTube (yt-dlp) ✅ REAL ✅ YES ~1s/video Real YouTube search and metadata
Pexels API ✅ REAL ✅ YES <1s Free stock footage search (images & videos)

Placeholder Timing:

  • All placeholders use realistic delays matching production API latency
  • Gemini video analysis: 8s (prod: 10-60s)
  • YouTube search: 2s (prod: 2-5s)
  • Enables proper cache testing with background jobs

Tools

Tool Status Tested Notes
create_project ✅ REAL ✅ YES Initialize new project
get_project ✅ REAL ✅ YES Fetch project details
list_projects ✅ REAL ✅ YES List all projects
delete_project ✅ REAL ✅ YES Delete with cascade
search_videos ✅ REAL ✅ YES Multi-platform video search
start_metadata_extraction ✅ REAL ✅ YES Background metadata jobs
get_metadata_status ✅ REAL ✅ YES Poll job status
mark_videos_for_extraction ✅ REAL ✅ YES Mark videos for content extraction
start_extraction_queue ✅ REAL ✅ YES Background content extraction
get_extraction_status ✅ REAL ✅ YES Poll extraction jobs
list_quotes ✅ REAL ✅ YES List extracted quotes (paginated, limit=20)
approve_quotes ✅ REAL ✅ YES Approve quote candidates
list_assets ✅ REAL ✅ YES List extracted assets (paginated, limit=20)
list_videos_with_metadata ✅ REAL ✅ YES List videos with metadata (paginated, limit=20)
list_source_videos ✅ REAL ✅ YES List source videos with filters (paginated, compact output)
search_stock_footage ✅ REAL ✅ YES Pexels search + save basic info (with deduplication)
extract_pexels_descriptions ✅ REAL ✅ YES Async batch Gemini analysis for Pexels assets
upload_user_asset ✅ REAL ✅ YES User uploads with Gemini analysis
create_script ✅ REAL ✅ YES Initialize script (compact output with last_edited)
update_script ✅ REAL ✅ YES Update script metadata
get_script ✅ REAL ✅ YES Get script by ID
list_scripts ✅ REAL ✅ YES List project scripts (compact output with last_edited)
delete_script ✅ REAL ✅ YES Delete script by ID
search_quotes_for_segment ✅ REAL ✅ YES Semantic search for quotes using embeddings
search_assets_for_segment ✅ REAL ✅ YES Semantic search for assets using embeddings
analyze_script_for_visual_needs ⏸️ TBI ⏸️ NO Suggests B-roll needs
export_to_premiere_xml ⏸️ TBI ⏸️ NO Generate Premiere XML
export_to_davinci_edl ⏸️ TBI ⏸️ NO Generate DaVinci EDL

Script Parsing Update (2025-10-09):

  • ✅ create_script now uses HTML-like segment format with explicit tags
  • ✅ Supports <segment id="seg_XXX" purpose="..."> and <quote id="123"> tags
  • ✅ Validates segment IDs, purposes, and quote content (95% fuzzy match)
  • ✅ Auto-creates quote_visual layers for quote segments
  • ✅ Returns comprehensive validation report with warnings
  • ✅ 19 unit tests for parser + 9 integration tests for workflow

Architecture:

  • ✅ All tools separated from MCP server (testable independently)
  • ✅ server.py contains ONLY FastMCP wrappers (thin layer)
  • ✅ All business logic in tools/ directory

Services

Service Status Tested Notes
Cost Tracker ✅ REAL ✅ YES Track Gemini, OpenAI costs (placeholder amounts)
Vector Search ✅ REAL ✅ YES Embedding-based similarity search
Timing Calculator ⏸️ NOT STARTED ⏸️ NO Segment timing validation
Export Generator ⏸️ NOT STARTED ⏸️ NO XML/ZIP package creation

Tests

Test Suite Status Count Passing Notes
Unit Tests ✅ REAL 27 ✅ 27/27 All tool functions with mocked DB
Pexels Workflow ✅ REAL 8 ✅ 8/8 Complete Pexels integration workflow
E2E Workflow ✅ REAL 2 ✅ 2/2 Full workflow + cache validation
TOTAL ✅ REAL 37 ✅ 37/37 100% passing

Test Infrastructure:

  • ✅ Real Supabase database (local)
  • ✅ Background job polling helpers
  • ✅ python-dotenv for environment variables
  • ✅ Comprehensive fixtures (clean_db, sample_project, sample_video)

Week 1 Completion Checklist ✅

  • Database schema deployed to Supabase ✅
  • Database client with Supabase SDK ✅
  • All Pydantic models defined and tested ✅
  • All placeholder integrations implemented ✅
  • All tools testable without MCP connection ✅
  • All MCP wrappers implemented (server.py) ✅
  • Cost tracking system functional ✅
  • Background job processing (asyncio.create_task) ✅
  • Placeholder contract tests passing ✅
  • End-to-end workflow test passing ✅
  • IMPLEMENTATION_STATUS.md created ✅
  • All tool descriptions include [PLACEHOLDER MODE] markers ⚠️ TODO

Week 2: Replace YouTube, Gemini, OpenAI ✅ COMPLETED

Goals

  • ✅ Replace YouTube (yt-dlp) placeholder with real library
  • ✅ Replace OpenAI embeddings placeholder with real API
  • ✅ Replace Gemini placeholder with real API
  • ✅ Maintain 100% test pass rate throughout

Implementation Order

Phase 1: YouTube (yt-dlp) - Day 1-2 ✅ COMPLETED

Task Status Notes
Install yt-dlp library ✅ DONE Already in pyproject.toml
Replace search_youtube_videos() ✅ DONE Real YouTube search with ytsearch{n}:
Replace fetch_video_metadata() ✅ DONE Full metadata extraction
Replace get_video_formats() ✅ DONE Format list extraction
Replace download_video() ✅ DONE Best quality download
Write integration tests ✅ DONE 7 tests in test_youtube_integration.py
Update tests for real data ✅ DONE Uses real video IDs, handles variability
Remove [PLACEHOLDER MODE] markers ✅ DONE Updated tool descriptions in server.py
Verify all tests pass ✅ DONE 52/52 tests passing (45 + 7 new)

Phase 2: OpenAI Embeddings - Day 3-4 ✅ COMPLETED

Task Status Notes
Install openai library ✅ DONE AsyncOpenAI client initialized
Replace generate_embedding() ✅ DONE text-embedding-3-small (1536 dims)
Add error handling + retries ✅ DONE Async implementation with proper error handling
Update cost tracking ✅ DONE Real token tracking: $0.02 per 1M tokens
Test vector search with real embeddings ✅ DONE pgvector cosine similarity working

Phase 3: Gemini 2.5 Flash - Day 5-7 ✅ COMPLETED

Task Status Notes
Install google-genai library ✅ DONE Using google-genai (not legacy)
Replace analyze_youtube_video() ✅ DONE Real video analysis with structured JSON output
Replace analyze_image() ✅ DONE Real image analysis with inline data
Add error handling + retries ✅ DONE Tenacity retry with exponential backoff
Update cost tracking ✅ DONE Input/output tokens tracked (YouTube videos FREE)
Test content extraction end-to-end ✅ DONE E2E test: 13 quotes + 38 assets from 65s video
Remove [PLACEHOLDER MODE] markers ✅ DONE Updated tool descriptions

Week 3-5 Implementation Plan

Week 3: Assets & TTS

  • Replace Pexels placeholder with real API ✅
  • WIP: User asset storage - Currently stores file path, needs Supabase Storage integration
  • Implement ElevenLabs TTS placeholder
  • Replace ElevenLabs with real API
  • Test user upload workflow

Week 4: Script & Export

  • Implement script building logic
  • Implement timing calculations
  • Implement Premiere XML export
  • Test complete script → export flow

Week 5: Polish & Production

  • Remove all remaining [PLACEHOLDER MODE] markers
  • Comprehensive error handling
  • Cost optimization
  • Production documentation
  • Deployment guide

Placeholder Replacement Protocol

When replacing a placeholder with real implementation:

  1. Verify tests pass with placeholder first
  2. Add real API credentials to .env
  3. Replace implementation incrementally (one function at a time)
  4. Update status in this file (PLACEHOLDER → REAL)
  5. Run tests after each change
  6. Update cost tracking with real rates
  7. Remove [PLACEHOLDER MODE] from tool description
  8. Run full test suite to ensure no regressions
  9. Commit changes with descriptive message

Architecture Highlights

Background Job Processing

# Jobs return immediately, run in background
result = await start_extraction_queue(db, project_id)
# Returns instantly with job_ids

# Poll for completion
while True:
    status = await get_extraction_status(db, project_id)
    if status["pending"] == 0 and status["processing"] == 0:
        break  # All done!
    await asyncio.sleep(0.5)

Cache Strategy

  • metadata_status field: Prevents duplicate YouTube metadata fetches
  • extraction_status field: Prevents duplicate Gemini video analysis
  • Verified working with realistic timing (8s delays)

Test Helpers

  • wait_for_jobs_completion(): Polls until jobs finish
  • clean_db: Deletes all test data before each test
  • Real database testing (no mocks for e2e)

Recent Updates (2025-10-08)

Pagination Implementation ✅

Added pagination to all list functions to prevent context size issues:

  • list_quotes - Now returns {quotes: [...], total, limit, offset, has_more} (default limit=20)
  • list_assets - Now returns {assets: [...], total, limit, offset, has_more} (default limit=20)
  • list_videos_with_metadata - Now returns {videos: [...], total, limit, offset, has_more} (default limit=20)
  • list_source_videos - Now returns {videos: [...], total, limit, offset, has_more} (default limit=20)

All functions return the same data as before (all fields except embeddings), just wrapped in pagination envelope.

Pexels API Integration ✅

Replaced Pexels placeholder with real API integration:

  • search_pexels_images - Real Pexels image search via REST API
  • search_pexels_videos - Real Pexels video search via REST API
  • download_pexels_media - Real file download to local storage
  • Uses requests library with asyncio.to_thread for non-blocking I/O
  • 8 integration tests passing (test_pexels_workflow.py)
  • FREE API usage (royalty-free stock footage)

New Pexels Workflow ✅

Implemented two-phase Pexels workflow for better performance:

  • Phase 1: search_stock_footage - Search and save basic info only (fast, <1s)
  • Phase 2: extract_pexels_descriptions - Async batch description extraction with Gemini (3-5s per asset)
  • Asset deduplication across projects via unique constraint on (pexels_id, media_type)
  • Reuses existing assets automatically when same Pexels media is searched again
  • Description extraction status tracking: pending → processing → completed

Compact Output Responses ✅

Updated all MCP tools to return compact, human-readable responses:

  • Removed fields: created_at, updated_at, unnecessary metadata
  • Added field: last_edited - Human-readable timestamp ("just now", "5m ago", "2h ago", "3d ago")
  • Kept fields: Long descriptions, essential metadata, embeddings (where needed)
  • Applies to: search_youtube_videos, list_source_videos, create_script, list_scripts

E2E Tests Updated ✅

Updated end-to-end tests to use new Pexels workflow and compact outputs:

  • Replaced save_stock_footage with search_stock_footage + extract_pexels_descriptions
  • Updated all list function calls to handle dict responses with pagination
  • Increased Gemini extraction timeout to 600s (10 minutes) for longer videos
  • 2/2 e2e tests passing in ~3-4 minutes
  • Complete workflow test: 10 videos, 20 quotes, 20 assets, $0.0352 cost
  • Cache validation test: metadata and content extraction caching verified

Notes

  • ✅ All placeholders return realistic fake data to enable workflow testing
  • ✅ Placeholder costs tracked as $0.00 but with correct structure
  • ✅ Real implementations must match placeholder function signatures exactly
  • ✅ Integration tests validate placeholder contracts before replacement
  • ✅ E2E test passes with real APIs - ready for production
  • ✅ Background processing production-ready (asyncio.create_task)
  • ✅ Pagination added to all list functions (2025-10-08)
  • ✅ Compact outputs with human-readable timestamps (2025-10-08)
  • ✅ Pexels workflow with asset deduplication (2025-10-08)
  • ✅ 27/27 unit tests passing (100%)
  • ✅ 8/8 Pexels workflow integration tests passing (100%)
  • ✅ 2/2 e2e tests passing (100%)
  • ✅ Total: 37/37 tests passing (100%)

Last updated: 2025-10-08 (Week 2 Complete - Pexels Workflow + Compact Outputs)