fix(ks2): make reimport async with polling to avoid HTTP timeout
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The geocoding pass over ~15k schools takes longer than any reasonable
HTTP timeout. New approach:
- POST /api/admin/reimport-ks2 starts migration in background thread,
  returns {"status":"started"} immediately
- GET /api/admin/reimport-ks2/status returns {running, done}
- ks2.py polls status every 30s (max 2h) before returning
- Kestra flow timeout bumped to PT2H

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-24 21:08:06 +00:00
parent 68b15400b0
commit 0e5b71d4a0
3 changed files with 71 additions and 23 deletions

View File

@@ -635,6 +635,9 @@ async def reload_data(
return {"status": "reloaded"}
_reimport_status: dict = {"running": False, "done": False, "error": None}
@app.post("/api/admin/reimport-ks2")
@limiter.limit("2/minute")
async def reimport_ks2(
@@ -643,19 +646,45 @@ async def reimport_ks2(
_: bool = Depends(verify_admin_api_key)
):
"""
Re-run the full KS2 CSV migration (drop + reimport schools and results).
Use when the database has been wiped and needs repopulating from the CSV files.
Start a full KS2 CSV migration in the background and return immediately.
Poll GET /api/admin/reimport-ks2/status to check progress.
Pass ?geocode=false to skip postcode → lat/lng resolution.
Runs synchronously — expect this to take several minutes.
Requires X-API-Key header with valid admin API key.
"""
loop = asyncio.get_event_loop()
success = await loop.run_in_executor(None, lambda: run_full_migration(geocode=geocode))
global _reimport_status
if _reimport_status["running"]:
return {"status": "already_running"}
_reimport_status = {"running": True, "done": False, "error": None}
def _run():
global _reimport_status
try:
success = run_full_migration(geocode=geocode)
if not success:
raise HTTPException(status_code=500, detail="Migration failed: no CSV data found in data directory")
_reimport_status = {"running": False, "done": False, "error": "No CSV data found"}
return
clear_cache()
load_school_data()
return {"status": "reimported"}
_reimport_status = {"running": False, "done": True, "error": None}
except Exception as exc:
_reimport_status = {"running": False, "done": False, "error": str(exc)}
import threading
threading.Thread(target=_run, daemon=True).start()
return {"status": "started"}
@app.get("/api/admin/reimport-ks2/status")
async def reimport_ks2_status(
request: Request,
_: bool = Depends(verify_admin_api_key)
):
"""Poll this endpoint to check reimport progress."""
s = _reimport_status
if s["error"]:
raise HTTPException(status_code=500, detail=s["error"])
return {"running": s["running"], "done": s["done"]}
# =============================================================================

View File

@@ -10,7 +10,7 @@ tasks:
uri: http://integrator:8001/run/ks2?action=load
method: POST
allowFailed: false
timeout: PT20M # full migration takes ~10 min; give headroom
timeout: PT2H # polls backend every 30s; geocoding 15k schools takes up to 1h
errors:
- id: notify-failure

View File

@@ -10,10 +10,14 @@ The CSV files must already be present in the data volume under
/data/{year}/england_ks2final.csv
(populated at deploy time from the repo's data/ directory).
"""
import sys
import time
import requests
from config import BACKEND_URL, ADMIN_API_KEY
HEADERS = {"X-API-Key": ADMIN_API_KEY}
POLL_INTERVAL = 30 # seconds between status checks
MAX_WAIT = 7200 # 2 hours
def download():
"""No download step — CSVs are shipped with the repo."""
@@ -22,18 +26,33 @@ def download():
def load():
"""Trigger full KS2 re-import via the backend admin endpoint (with geocoding)."""
url = f"{BACKEND_URL}/api/admin/reimport-ks2?geocode=true"
print(f"POST {url}")
resp = requests.post(
url,
headers={"X-API-Key": ADMIN_API_KEY},
timeout=900, # migration can take ~10 minutes
)
"""Trigger full KS2 re-import and poll until complete."""
start_url = f"{BACKEND_URL}/api/admin/reimport-ks2?geocode=true"
status_url = f"{BACKEND_URL}/api/admin/reimport-ks2/status"
print(f"POST {start_url}")
resp = requests.post(start_url, headers=HEADERS, timeout=30)
resp.raise_for_status()
result = resp.json()
print(f"Result: {result}")
return result
print(f"Started: {resp.json()}")
print(f"Polling {status_url} every {POLL_INTERVAL}s (max {MAX_WAIT // 60} min)...")
elapsed = 0
while elapsed < MAX_WAIT:
time.sleep(POLL_INTERVAL)
elapsed += POLL_INTERVAL
sr = requests.get(status_url, headers=HEADERS, timeout=15)
sr.raise_for_status()
state = sr.json()
print(f" [{elapsed // 60}m] {state}")
if state.get("done"):
print("Re-import complete.")
return state
if not state.get("running"):
raise RuntimeError(f"Re-import stopped unexpectedly: {state}")
raise TimeoutError(f"KS2 re-import did not complete within {MAX_WAIT // 60} minutes")
if __name__ == "__main__":