Floke
4568623e77
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.
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import sqlite3
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import os
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dbs = [
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"/app/companies_v4_notion_sync.db",
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"/app/companies_v3_final.db",
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"/app/company-explorer/companies_v3_fixed_2.db",
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"/app/company-explorer/companies.db"
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]
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found = False
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for db_path in dbs:
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if not os.path.exists(db_path):
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continue
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print(f"Checking {db_path}...")
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try:
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# Get column names
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cursor.execute("PRAGMA table_info(companies)")
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columns = [info[1] for info in cursor.fetchall()]
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print(f"Columns: {columns}")
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cursor.execute("SELECT * FROM companies WHERE name LIKE '%Wolfra%'")
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rows = cursor.fetchall()
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if rows:
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print(f"Found {len(rows)} rows in {db_path}:")
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for row in rows:
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# Create a dict for easier reading
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row_dict = dict(zip(columns, row))
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print(row_dict)
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found = True
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else:
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print("No matching rows found.")
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conn.close()
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except Exception as e:
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print(f"Error reading {db_path}: {e}")
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print("-" * 20)
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if not found:
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print("No 'Wolfra' company found in any checked database.")
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