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Author SHA1 Message Date
5da02b4ba0 docs: update CHANGELOG.md for v0.2.0 release
Update changelog with comprehensive release notes including:
- All features added during alpha testing phase
- Configuration improvements and new documentation
- Bug fixes and stability improvements
- Corrected release date to 2025-10-31

Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-31 00:28:13 -04:00
11509ba8c7 fix: merge script now writes to current directory for volume compatibility
Changed merge_jsonl.py to use os.getcwd() instead of os.path.dirname(__file__)
to ensure merged.jsonl is written to the working directory where data files exist,
not to the script's installation directory.

Root cause:
- Dockerfile copies scripts to /app/scripts/ for volume compatibility
- entrypoint.sh runs: cd /app/data && python /app/scripts/merge_jsonl.py
- Old logic used script directory (/app/scripts/), ignoring working directory
- This caused merged.jsonl to be created in /app/scripts/ instead of /app/data/
- Since /app/data/ is volume-mounted, merged file was not visible to host

Solution:
- Scripts now respect current working directory (Unix philosophy)
- Works correctly with volume mounts and script relocation
- Tested in both local and Docker directory structure scenarios

Fixes the issue where merged.jsonl was missing from mounted data volume.
2025-10-31 00:03:39 -04:00
2 changed files with 25 additions and 4 deletions

View File

@@ -7,30 +7,50 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
## [0.2.0] - 2025-10-30
## [0.2.0] - 2025-10-31
### Added
- Complete Docker deployment support with containerization
- Docker Compose orchestration for easy local deployment
- Multi-stage Dockerfile with Python 3.10-slim base image
- Automated CI/CD pipeline via GitHub Actions for release builds
- Automatic draft release creation with version tagging
- Docker images published to GitHub Container Registry (ghcr.io)
- Comprehensive Docker documentation (docs/DOCKER.md)
- Release process documentation (docs/RELEASING.md)
- Data cache reuse design documentation (docs/DESIGN_DATA_CACHE_REUSE.md)
- CLAUDE.md repository guidance for development
- Docker deployment section in main README
- Environment variable configuration via docker-compose
- Sequential startup script (entrypoint.sh) for data fetch, MCP services, and trading agent
- Volume mounts for data and logs persistence
- Pre-built image support from ghcr.io/hkuds/ai-trader
- Pre-built image support from ghcr.io/xe138/ai-trader
- Configurable volume path for persistent data
- Configurable web interface host port
- Automated merged.jsonl creation during price fetching
- API key registration URLs in .env.example
### Changed
- Updated .env.example with Docker-specific configuration and paths
- Updated .env.example with Docker-specific configuration, API key URLs, and paths
- Updated .gitignore to exclude git worktrees directory
- Removed deprecated version tag from docker-compose.yml
- Updated repository URLs to Xe138/AI-Trader fork
- Docker Compose now uses pre-built image by default
- Simplified Docker config file selection with convention over configuration
- Fixed internal ports with configurable host ports
- Separated data scripts from volume mount directory
- Reduced log flooding during data fetch
- OPENAI_API_BASE can now be left empty in configuration
### Fixed
- Docker Compose configuration now follows modern best practices (version-less)
- Prevent restart loop on missing API keys with proper validation
- Docker tag generation now converts repository owner to lowercase
- Validate GITHUB_REF is a tag in docker-release workflow
- Correct Dockerfile FROM AS casing
- Module import errors for MCP services resolved with PYTHONPATH
- Prevent price data overwrite on container restart
- Merge script now writes to current directory for volume compatibility
## [0.1.0] - Initial Release

View File

@@ -18,7 +18,8 @@ all_nasdaq_100_symbols = [
]
# 合并所有以 daily_price 开头的 json逐文件一行写入 merged.jsonl
current_dir = os.path.dirname(__file__)
# Use current working directory instead of script directory for volume compatibility
current_dir = os.getcwd()
pattern = os.path.join(current_dir, 'daily_price*.json')
files = sorted(glob.glob(pattern))