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fix: Correct indentation in SSE execute_workflow_async function
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Lars 2026-04-13 11:27:44 +02:00
parent fbeabcde97
commit bc60b9f5c9
1 changed files with 32 additions and 32 deletions
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64
backend/routers/prompts.py
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@ -1526,42 +1526,42 @@ async def execute_unified_prompt_stream(
nonlocal execution_complete
try:
# Execute workflow with progress callbacks
result = await execute_prompt_with_data(
prompt_slug=prompt_slug,
profile_id=profile_id,
modules=modules,
timeframes=timeframes,
openrouter_call_func=workflow_llm_call,
enable_debug=debug or save,
progress_callback=progress_callback
)
result = await execute_prompt_with_data(
prompt_slug=prompt_slug,
profile_id=profile_id,
modules=modules,
timeframes=timeframes,
openrouter_call_func=workflow_llm_call,
enable_debug=debug or save,
progress_callback=progress_callback
)
# Save to ai_insights if requested (same logic as /execute)
if save:
if result['type'] == 'pipeline':
final_output = result.get('output', {})
if isinstance(final_output, dict) and len(final_output) == 1:
content = list(final_output.values())[0]
else:
content = json.dumps(final_output, ensure_ascii=False)
elif result['type'] == 'workflow':
content = _workflow_user_facing_content(result.get('aggregated_result'))
# Save to ai_insights if requested (same logic as /execute)
if save:
if result['type'] == 'pipeline':
final_output = result.get('output', {})
if isinstance(final_output, dict) and len(final_output) == 1:
content = list(final_output.values())[0]
else:
content = result.get('output', '')
if isinstance(content, dict):
content = json.dumps(content, ensure_ascii=False)
content = json.dumps(final_output, ensure_ascii=False)
elif result['type'] == 'workflow':
content = _workflow_user_facing_content(result.get('aggregated_result'))
else:
content = result.get('output', '')
if isinstance(content, dict):
content = json.dumps(content, ensure_ascii=False)
# Save to database (minimal metadata for now)
with get_db() as conn:
cur = get_cursor(conn)
cur.execute(
"""INSERT INTO ai_insights (profile_id, scope, content, metadata, created_at)
VALUES (%s, %s, %s, %s, NOW())""",
(profile_id, prompt_slug, content, json.dumps({"prompt_type": result['type']}))
)
conn.commit()
# Save to database (minimal metadata for now)
with get_db() as conn:
cur = get_cursor(conn)
cur.execute(
"""INSERT INTO ai_insights (profile_id, scope, content, metadata, created_at)
VALUES (%s, %s, %s, %s, NOW())""",
(profile_id, prompt_slug, content, json.dumps({"prompt_type": result['type']}))
)
conn.commit()
except Exception as e:
except Exception as e:
# Queue error event
await event_queue.put({
"type": "execution_failed",