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* feat: Refactor configuration and sync logic for improved dataset handling and logging * feat: Enhance annotation synchronization and dataset file management - Added new fields `tags_updated_at` to `DatasetFiles` model for tracking the last update time of tags. - Implemented new asynchronous methods in the Label Studio client for fetching, creating, updating, and deleting task annotations. - Introduced bidirectional synchronization for annotations between DataMate and Label Studio, allowing for flexible data management. - Updated sync service to handle annotation conflicts based on timestamps, ensuring data integrity during synchronization. - Enhanced dataset file response model to include tags and their update timestamps. - Modified database initialization script to create a new column for `tags_updated_at` in the dataset files table. - Updated requirements to ensure compatibility with the latest dependencies.
24 lines
990 B
Plaintext
24 lines
990 B
Plaintext
fastapi==0.118.2
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uvicorn[standard]==0.37.0
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sqlalchemy==2.0.43
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# 数据库驱动 (MySQL优先)
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aiomysql==0.2.0 # MySQL异步驱动
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pymysql==1.1.2 # MySQL同步驱动（用于迁移）
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# PostgreSQL驱动（可选，备用）
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asyncpg==0.30.0 # PostgreSQL异步驱动
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psycopg2-binary==2.9.10 # PostgreSQL同步驱动（用于迁移）
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aiosqlite==0.19.0 # SQLite异步驱动（开发备用）
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alembic==1.16.5
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httpx==0.28.1
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cryptography
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pydantic==2.12.0
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pydantic-settings==2.11.0
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python-multipart==0.0.20
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python-dotenv==1.1.1
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python-dateutil==2.9.0
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# label-studio-sdk==2.0.11 |