- Added DexScreener connect form and config components
- Added connector icon, benefits, and documentation
- Updated connector enums and types
- Added dexscreener.mdx documentation
This completes the DexScreener integration UI for the frontend.
- Added DEXSCREENER_CONNECTOR to _CONNECTOR_TYPE_TO_SEARCHABLE in chat_deepagent.py
- This fixes LLM's inability to search DexScreener data despite it being indexed
- Root cause: connector was enabled in DB but missing from mapping, causing it to be filtered out
- Verified: LLM now successfully retrieves WETH price (~$2,442) with DexScreener citations
Related files:
- chat_deepagent.py: Added connector mapping
- knowledge_base.py: Added debug logging for DexScreener search
- connector_service.py: Fixed metadata field names (base_symbol, quote_symbol, dex)
- 85_add_dexscreener_connector.py: Migration for connector type
- Import DexScreenerIndexer in schedule_checker_task.py
- Enable periodic sync support for DexScreener connector
- Ensures automated token data updates work correctly
- Add Story 1.1: DexScreener Connector Backend (complete)
- Add Story 1.2: DexScreener Connector Frontend UI (ready for dev)
- Add implementation plan with architecture decisions
- Include assets and documentation structure
- Stories follow BMAD methodology for AI-driven development
- Add pytest, pytest-asyncio, pytest-mock to dev dependencies
- Configure pytest in pyproject.toml with async support
- Create tests directory structure with conftest.py
- Set up unit test framework for connector testing
- Enable automated testing for backend components
- Create app/utils/airtable_token_utils.py for token refresh logic
- Update all connectors to use centralized token refresh function
- Affected connectors: airtable, clickup, confluence, discord, jira, notion, slack, teams
- Improves code reusability and maintainability
- No functional changes, pure refactoring
Core Implementation:
- Add DexScreenerConnector class with public API integration
- Implement token pair data fetching and indexing
- Add API routes: add, delete, test endpoints
- Register connector in task indexers and Celery tasks
- Add DEXSCREENER_CONNECTOR enum to database models
Features:
- Support up to 50 tokens per connector
- Track prices, volume, liquidity across multiple DEXs
- EVM and Solana address validation
- Periodic sync support
- No API key required (public DexScreener API)
API Endpoints:
- POST /api/v1/connectors/dexscreener/add
- DELETE /api/v1/connectors/dexscreener
- GET /api/v1/connectors/dexscreener/test
All endpoints require JWT authentication ✅
Integration tests passing ✅
Ready for production deployment ✅
- Add Alembic migration 85 to add DEXSCREENER_CONNECTOR enum value
- Migration uses IF NOT EXISTS for safe production deployment
- Add integration test script for DexScreener API endpoints
- Verify all endpoints require JWT authentication
- Confirm migration successfully applied (DB version 85)
Story 1.1 Backend: Complete ✅
- All API endpoints functional (add, delete, test)
- Database schema synchronized
- Integration tests passing
- Ready for Story 1.2 (Frontend UI)
Introduce a new incentive task type, REDDIT_FOLLOW, to encourage users to join the SurfSense community on Reddit. This includes a title, description, pages reward, and action URL for the task.
Gmail indexer was using a hardcoded 30-day default instead of respecting
last_indexed_at like other connectors. Now uses calculate_date_range()
for consistent behavior (last_indexed_at → now, or 365 days for first run).
Prevent UniqueViolationError on ix_documents_content_hash constraint by
adding check_duplicate_document_by_hash() before inserting new documents
in 15 connector indexers that were missing this check.
Affected: clickup, luma, linear, jira, google_gmail, confluence,
bookstack, github, webcrawler, teams, slack, notion, discord,
airtable, obsidian indexers.
