fix(transcription): [2f388f42] finalize and fix AI insights feature

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.
This commit is contained in:
2026-01-26 08:53:13 +00:00
parent 771b06c1bc
commit 9019a801ed
39 changed files with 2254 additions and 80 deletions

28
check_schema.py Normal file
View File

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import sqlite3
db_path = "/app/company-explorer/companies_v3_fixed_2.db"
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
for table in ['signals', 'enrichment_data']:
print(f"\nSchema of {table}:")
cursor.execute(f"PRAGMA table_info({table})")
for col in cursor.fetchall():
print(col)
print(f"\nContent of {table} for company_id=12 (guessing FK):")
# Try to find FK column
cursor.execute(f"PRAGMA table_info({table})")
cols = [c[1] for c in cursor.fetchall()]
fk_col = next((c for c in cols if 'company_id' in c or 'account_id' in c), None)
if fk_col:
cursor.execute(f"SELECT * FROM {table} WHERE {fk_col}=12")
rows = cursor.fetchall()
for row in rows:
print(dict(zip(cols, row)))
else:
print(f"Could not guess FK column for {table}")
conn.close()