feat: Implement async AI analysis for email threads
- Added `get_latest_email_date()` function in `database.py` to retrieve the most recent email date for a given account and folder. - Enhanced `fetch_folder_emails()` in `zoho_client.py` to intelligently determine the start date for fetching emails based on the latest email date in the database. - Introduced `analyze_and_update_threads_async()` for asynchronous analysis of email threads, allowing concurrent processing. - Created a synchronous wrapper `analyze_and_update_threads()` for easier integration. - Updated `fetch_emails()` to support database session and account email parameters. - Added comprehensive documentation in `AI_ANALYSIS_GUIDE.md` detailing the new AI analysis functionality. - Implemented tests for the new features, including `test_fetch_with_db.py`, `test_ai_analysis.py`, and `test_single_analysis.py`. - Added error handling and logging improvements throughout the codebase.
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#!/usr/bin/env python3
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"""
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Reset AI analysis data for testing purposes.
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"""
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import os
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import sys
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# Add the src directory to the path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))
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from database import SessionLocal, Thread
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def main():
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"""Reset analysis data for all threads."""
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db = SessionLocal()
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try:
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# Reset analysis data
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threads = db.query(Thread).all()
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for thread in threads:
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thread.actionable = False
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thread.ai_summary = None
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thread.ai_confidence = None
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thread.last_analyzed_at = None
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db.commit()
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print(f"Reset analysis data for {len(threads)} threads")
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except Exception as e:
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print(f"Error: {e}")
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db.rollback()
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finally:
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db.close()
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if __name__ == "__main__":
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main()
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