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- import requests
- import urllib3
- urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
- base_url = 'https://192.168.130.161/taiga/api/v1'
- auth = requests.post(f'{base_url}/auth', json={'type': 'normal', 'username': 'FrancoisLange', 'password': 'BTSai123'}, verify=False).json()
- headers = {'Authorization': f'Bearer {auth["auth_token"]}', 'Content-Type': 'application/json'}
- proj_id = 21
- slug = '260508-daily'
- content = """# Daily Scrum 26.05.08
- ## What was done yesterday?
- - Addressed application crashes caused by missing columns (`search_limit`) and tables (`products_core`).
- - Discovered that the DB drop destroyed the entire schema temporarily until the offline ingestion recreated it, causing UI crashes.
- - Implemented `ON DUPLICATE KEY UPDATE` consolidation logic to fix the duplication explosion that degraded search performance.
- ## What is the plan for today?
- - Ensure the initialization SQL officially defines all vertical partitions (`products_core`, `products_macros`, etc.) so the DB structure exists safely before the offline ingestion completes.
- - Lock down LLM model initialization into the Docker network `command` argument to strictly decouple the 1.3GB model download from the Streamlit UI loading phase.
- - Finalize Food Scale standardizations (`xl`, `l`, `m`, `s`) in `unit_converter.py`.
- ## Blockers
- - **Data Race Condition**: The LLM model stream download crashed the AI interface when requested immediately on app startup. Fixed by detaching the download to the container orchestrator.
- - **Table Missing Error**: Streamlit `app.py` querying `products_core` before Python `to_sql` had a chance to create it. Fixed by explicitly declaring schemas in `init.sql`.
- """
- payload = {"project": proj_id, "slug": slug, "content": content}
- res = requests.post(f'{base_url}/wiki', json=payload, headers=headers, verify=False)
- if res.status_code == 201:
- print("Created 260508-daily page!")
- else:
- # Try put
- check_req = requests.get(f'{base_url}/wiki?project={proj_id}&slug={slug}', headers=headers, verify=False).json()
- if len(check_req) > 0:
- page_id = check_req[0]['id']
- version = check_req[0]['version']
- res2 = requests.put(f'{base_url}/wiki/{page_id}', json={"project": proj_id, "slug": slug, "content": content, "version": version}, headers=headers, verify=False)
- print("Updated 260508-daily page!")
|
