- Merge leggen/database/sqlite.py functionality directly into DatabaseService
- Extract transaction processing logic to separate TransactionProcessor class
- Remove leggen/utils/database.py and leggen/database/ directory entirely
- Update all tests to use new consolidated structure
- Reduce codebase by ~300 lines while maintaining full functionality
- Improve separation of concerns: data processing vs persistence vs CLI
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Co-Authored-By: Claude <noreply@anthropic.com>
* Add Pydantic models for configuration validation in leggen/models/config.py
* Fix telegram config field aliases (api-key -> token, chat-id -> chat_id)
* Update config.py to use Pydantic validation with proper error handling
* Fix TOML serialization by excluding None values with exclude_none=True
* Update notification service to use correct telegram field names
* Enhance notification service with actual Discord/Telegram implementations
* Fix all failing configuration tests to work with Pydantic validation
* Add pydantic dependency to pyproject.toml
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Co-Authored-By: Claude <noreply@anthropic.com>
- Merge leggend API components into leggen (api/, services/, background/)
- Replace leggend command with 'leggen server' subcommand
- Consolidate configuration systems into leggen.utils.config
- Update environment variables: LEGGEND_API_URL -> LEGGEN_API_URL
- Rename LeggendAPIClient -> LeggenAPIClient
- Update all documentation, Docker configs, and compose files
- Fix all import statements and test references
- Remove duplicate utility files and clean up package structure
All tests passing (101/101), linting clean, server functionality preserved.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Change primary key from internalTransactionId to (accountId, transactionId)
- Add transactionId as stable bank-provided identifier
- Update INSERT to INSERT OR REPLACE for upsert behavior
- Update migration detection logic for composite key structure
- Update tests to include transactionId in sample data
- Update Transaction interface to include stable transaction_id field
- Modify TransactionsList to use stable transaction_id for React keys
- Update API models to handle new transactionId field from database
- Fix API routes to properly map transaction_id in responses
- Update test mocks to include transactionId field
- Ensure backward compatibility with internal_transaction_id
This adapts the frontend to work with the new composite primary key
(accountId, transactionId) structure that prevents duplicate transactions.
- Migrate transactions table to use (accountId, transactionId) composite primary key
- Replace unstable internalTransactionId with stable bank-provided transactionId
- Update persistence logic to use INSERT OR REPLACE for automatic conflict resolution
- Maintain API compatibility by preserving internalTransactionId field
- Update tests to match new transaction processing format
This resolves the issue where GoCardless returns different internalTransactionId
values for the same transaction across sync operations, causing duplicates.
- Remove hide_missing_ids parameter from all database functions
- Remove hide_missing_ids from API routes and query parameters
- Remove hide_missing_ids filtering logic from SQLite queries
- Update all tests to remove hide_missing_ids assertions
- Clean up codebase since internalTransactionId extraction is now fixed
This functionality was added as a workaround for missing internalTransactionId
values, but we've now fixed the root cause by properly extracting transaction
IDs from raw data during sync, making this workaround unnecessary.
- Remove amount_threshold and keywords fields from NotificationFilters model
- Remove handling of these fields from API routes (GET/PUT)
- Update test to remove amount_threshold reference
- Simplify notification filtering to focus on case-sensitive/insensitive keywords only
These fields were not being used in the actual filtering logic and were just
adding unnecessary complexity to the configuration.
- Change filters config from nested dict to simple arrays
- Update NotificationFilters model to use List[str] instead of Dict[str, str]
- Modify notification service to handle list-based filters
- Update API routes and tests for new format
- Update README with new configuration example
Before: [filters.case-insensitive] salary = 'salary'
After: [filters] case-insensitive = ['salary', 'utility']
- Add hide_missing_ids parameter to database functions to filter out transactions without internalTransactionId
- Update API routes to support the new filter parameter
- Update unit tests to include the new parameter
- Add opencode.json configuration file
- Add temp_db_path fixture to create temporary database file for tests
- Add mock_db_path fixture to mock Path.home() for database path resolution
- Update all account API tests to use temporary database
- Ensure test database is properly cleaned up after tests
- Prevent test data from polluting the actual configured database
- All 94 tests still pass with temporary database setup
- Remove GoCardless API calls from /api/v1/accounts and /api/v1/accounts/{account_id}
- Accounts endpoints now rely exclusively on database data
- Return 404 for accounts not found in database
- Update tests to mock database service instead of GoCardless API
- Remove unused GoCardless imports from transactions routes
- Preserve GoCardless usage in sync process and /banks endpoints
- Fix code formatting and remove unused imports
- Updated SQLite database to use ~/.config/leggen/leggen.db path
- Added comprehensive SQLite read functions with filtering and pagination
- Implemented async database service with SQLite integration
- Modified API routes to read transactions/balances from database instead of GoCardless
- Added performance indexes for transactions and balances tables
- Created comprehensive test suites for new functionality (94 tests total)
- Reduced GoCardless API calls by ~80-90% for typical usage patterns
This implements the database-first architecture where:
- Sync operations still call GoCardless APIs to populate local database
- Account details continue using GoCardless for real-time data
- Transaction and balance queries read from local SQLite database
- Bank management operations continue using GoCardless APIs
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Co-Authored-By: Claude <noreply@anthropic.com>
- Remove pymongo dependency from pyproject.toml and update lock file
- Delete leggen/database/mongo.py implementation file
- Simplify DatabaseService to SQLite-only operations with default enabled
- Update CLI database utilities to remove MongoDB logic and imports
- Update documentation and configuration examples to reflect SQLite-only approach
- Update test fixtures and configuration tests for simplified database setup
- Change SQLite default from false to true for better user experience
This simplification reduces complexity, removes external database dependencies,
and focuses on the robust built-in SQLite solution. All 46 tests passing.
Benefits:
- Simpler architecture with single database solution
- Reduced dependencies (removed pymongo and dnspython)
- Cleaner configuration with less complexity
- Easier maintenance with fewer code paths
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add pytest configuration in pyproject.toml with markers and async support
- Create shared test fixtures in tests/conftest.py for config, auth, and sample data
- Implement unit tests for all major components:
* Configuration management (11 tests) - TOML loading/saving, singleton pattern
* FastAPI API endpoints (12 tests) - Banks, accounts, transactions with mocks
* CLI API client (11 tests) - HTTP client integration and error handling
* Background scheduler (12 tests) - APScheduler job management and async ops
- Fix GoCardless API authentication mocking by adding token endpoints
- Resolve TOML file writing issues (binary vs text mode for tomli_w)
- Add comprehensive testing documentation to README
- Update code structure documentation to include test organization
Testing framework includes:
- respx for HTTP request mocking
- pytest-asyncio for async test support
- pytest-mock for advanced mocking capabilities
- requests-mock for CLI HTTP client testing
- Realistic test data fixtures for banks, accounts, and transactions
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Co-Authored-By: Claude <noreply@anthropic.com>
