9b2fb5ae4a
- Added `aiknowledge_sync_utils.py` for provider-agnostic synchronization logic for CAIKnowledge entities, supporting both xAI and RAGFlow. - Introduced lifecycle management for CAIKnowledge entities including states: new, active, paused, and deactivated. - Implemented change detection using Blake3 hash for efficient document synchronization. - Created `ragflow_service.py` to handle dataset and document management with RAGFlow API. - Added daily cron job in `aiknowledge_daily_cron_step.py` to synchronize active CAIKnowledge entities with unclean or failed statuses. - Developed `aiknowledge_sync_event_step.py` to process synchronization events from webhooks and cron jobs.
27 lines
788 B
TOML
27 lines
788 B
TOML
[project]
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name = "motia-iii-example-python"
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version = "0.0.1"
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description = "Motia iii Example - Python Implementation"
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authors = [{ name = "III" }]
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requires-python = ">=3.10"
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dependencies = [
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"motia[otel]==1.0.0rc24",
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"iii-sdk==0.2.0",
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"pydantic>=2.0",
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"aiohttp>=3.10.0",
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"redis>=5.2.0",
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"python-dotenv>=1.0.0",
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"pytz>=2025.2",
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"requests>=2.32.0",
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"asyncpg>=0.29.0", # PostgreSQL async driver for calendar sync
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"google-api-python-client>=2.100.0", # Google Calendar API
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"google-auth>=2.23.0", # Google OAuth2
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"backoff>=2.2.1",
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"ragflow-sdk>=0.24.0", # RAGFlow AI Provider
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"langchain>=0.3.0", # LangChain framework
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"langchain-xai>=0.2.0", # xAI integration for LangChain
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"langchain-core>=0.3.0", # LangChain core
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]
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