Floke
9019a801ed
This commit resolves all outstanding issues with the AI Insights feature.
- Corrects the transcript formatting logic in to properly handle the database JSON structure, ensuring the AI receives the correct context.
- Fixes the Gemini API client by using the correct model name ('gemini-2.0-flash') and the proper client initialization.
- Updates to securely pass the API key as an environment variable to the container.
- Cleans up the codebase by removing temporary debugging endpoints.
- Adds script for programmatic updates.
- Updates documentation with troubleshooting insights from the implementation process.
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
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import sys
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import os
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import logging
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logging.basicConfig(level=logging.INFO)
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), 'company-explorer')))
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from backend.database import SessionLocal, Company
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def check_db_content():
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db = SessionLocal()
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try:
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print("--- Checking content of 'companies' table ---")
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companies = db.query(Company).limit(5).all()
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if not companies:
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print("!!! FATAL: The 'companies' table is EMPTY.")
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# Let's check if the table is there at all
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try:
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count = db.query(Company).count()
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print(f"Row count is confirmed to be {count}.")
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except Exception as e:
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print(f"!!! Could not even count rows. The table might be corrupt. Error: {e}")
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else:
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print(f"Found {len(companies)} companies. Data seems to be present.")
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for company in companies:
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print(f" - ID: {company.id}, Name: {company.name}")
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finally:
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db.close()
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if __name__ == "__main__":
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check_db_content()
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