- Removed the "3h" and "6h" periods from the log aggregation process in maintenance.py to streamline log counts.
- Enhanced code readability by adjusting line breaks and indentation in repositories.py for better clarity.
- Cleaned up multiline statements and removed unnecessary line breaks in various files.
- Ensured consistent formatting in function definitions and calls across the codebase.
- Updated docstrings and comments for clarity where applicable.
- Removed trailing newlines in module docstrings.
- Enhanced logging statements for better clarity in maintenance tasks.
feat: create configuration templates for alerts, Kraken settings, risk limits, and runtime settings
refactor: streamline config form by including separate template files for better organization
- Added PG_PASSWORD to .env.example for database connection.
- Removed unnecessary imports and streamlined code in various modules.
- Enhanced error handling in ConfigSettingRepository and ConfigPairingRepository.
- Updated test files to remove unused imports and improve clarity.
- Implemented integration tests for the execution writer to ensure trade orders and PnL are persisted correctly.
- Created integration tests for the metrics calculator to summarize execution data accurately.
- Added integration tests for the opportunity writer to verify event persistence.
- Established PostgreSQL schema validation tests to ensure all expected tables, columns, and constraints exist.
- Removed outdated unit tests that relied on DuckDB and replaced them with tests using PgStore.
- Added `sync_pairings_from_kraken` function to fetch and upsert asset pairs into the config_pairings table.
- Introduced `run_pairing_sync_loop` for periodic synchronization of pairings.
- Enhanced `KrakenWsClient` to manage subscribed symbols for market data feeds.
- Created `build_detector_from_enabled_pairings` to initialize cycle detection based on enabled pairings.
- Updated FastAPI app to start market data feed and pairing synchronization tasks.
- Added new API routes for managing pairings, including listing, toggling, and syncing from Kraken.
- Improved dashboard templates to display pairing options and allow user interaction for backtesting.
- Refactored database queries to streamline fetching and updating of pairing data.
- Consolidated multiline string formatting into single-line for SQL queries in multiple files.
- Adjusted argument formatting in function calls for better alignment and readability.
- Removed unnecessary line breaks and improved spacing in various sections of the codebase.
- Updated test cases to maintain consistency in formatting and improve clarity.
- Introduced a new HTML template for configuring pair fees, allowing users to add, edit, and delete fees for trading pairs.
- Implemented a responsive fee table displaying existing fees with options for editing and deleting.
- Added a form for adding new fees, including fields for base asset, quote asset, market type, and fee rates.
- Removed outdated templates related to backtesting, dashboard, health, and various partials to streamline the codebase.
- Ensured the new fee configuration panel integrates seamlessly with existing endpoints and uses htmx for dynamic updates.
- Introduced new HTML templates for the dashboard, metrics, overview, and backtesting functionalities.
- Implemented partial templates for metrics, overview, audit, controls, and charts to enhance modularity.
- Updated the Jinja2 template resolution logic to support different deployment environments.
- Added a health check template to display the service status.
- Included a test suite to verify the template resolution logic.
- Updated `pyproject.toml` to include new HTML templates in the package data.
- Introduced backtesting page and fragment in the dashboard for running backtests and viewing recent reports.
- Implemented backtest run logic with configuration options including event path, starting balances, trade capital, and fee profiles.
- Added recent backtest reports storage and retrieval.
- Created a new strategy module for statistical arbitrage experiments with validation on configuration parameters.
- Updated settings to include parameters for the statistical arbitrage strategy.
- Enhanced dashboard controls to support the new strategy mode.
- Added unit tests for backtesting functionality and strategy validation.
- Updated templates for backtesting UI integration.
zwitschi