For users uploading:
- POST /api/upload now returns text/event-stream instead of JSON - Per-file progress events stream back as each file is processed: ↓ 3/47 (6%) — morning_ride.fit - Final done event shows the summary: "12 added, 35 duplicates" - The Vite proxy is configured to stream this properly (no buffering) For the admin: - New GET /api/admin/jobs endpoint (admin-only) returns the list of active upload jobs, each with user, started_at, total, done, current (filename being processed) - A pulsing amber badge appears in the nav bar for admins when any user has an active upload running — it shows e.g. "2 uploads running" with a tooltip listing each user's progress (@alice: 12/50 files) - Polls every 5 seconds, disappears automatically when all jobs finish
This commit is contained in:
+69
-63
@@ -540,11 +540,11 @@ def _file_suffix(name: str) -> str:
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async def upload_activity(
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files: list[UploadFile] = File(...),
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store_original: bool = Form(False),
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) -> JSONResponse:
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"""Accept FIT/GPX/TCX files and/or activities.csv, extract, update index, re-merge.
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) -> StreamingResponse:
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"""Accept FIT/GPX/TCX files and/or activities.csv; stream SSE progress while processing.
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activities.csv (Strava export format) can be included in the batch to:
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- Enrich activity files being uploaded in the same batch (matched by filename)
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- Enrich activity files in the same batch (matched by filename)
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- Retroactively update sidecars for existing activities (matched by strava_id)
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"""
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from bincio.extract.ingest import ingest_parsed
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@@ -556,90 +556,96 @@ async def upload_activity(
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staging = dd / "_uploads"
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staging.mkdir(exist_ok=True)
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_MAX_UPLOAD_BYTES = 50 * 1024 * 1024 # 50 MB
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# Read all files into memory now (async), then process synchronously in the generator
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csv_bytes_list: list[bytes] = []
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activity_items: list[tuple[str, bytes]] = []
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# Separate CSV files from activity files
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csv_files: list[UploadFile] = []
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activity_files: list[UploadFile] = []
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for f in files:
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name = Path(f.filename or "").name.lower()
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if name.endswith(".csv"):
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csv_files.append(f)
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fname = Path(f.filename or "").name
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raw = await f.read()
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if fname.lower().endswith(".csv"):
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csv_bytes_list.append(raw)
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else:
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activity_files.append(f)
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activity_items.append((fname, raw))
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# Build metadata from the first CSV found (activities.csv from Strava export)
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metadata = None
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if csv_files:
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if csv_bytes_list:
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from bincio.extract.strava_csv import StravaMetadata
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import tempfile
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csv_upload = csv_files[0]
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csv_bytes = await csv_upload.read()
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with tempfile.NamedTemporaryFile(suffix=".csv", delete=False) as tmp:
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tmp.write(csv_bytes)
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tmp.write(csv_bytes_list[0])
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tmp_path = Path(tmp.name)
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try:
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metadata = StravaMetadata(tmp_path)
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finally:
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tmp_path.unlink(missing_ok=True)
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results = []
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any_added = False
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total_files = len(activity_items)
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for file in activity_files:
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name = Path(file.filename or "upload.fit").name
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suffix = _file_suffix(name)
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if suffix not in _SUPPORTED_SUFFIXES:
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results.append({"name": name, "ok": False, "error": f"Unsupported file type '{Path(name).suffix}'"})
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continue
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def event_stream():
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added = 0
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duplicates = 0
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errors = 0
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any_added = False
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contents = await file.read()
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if len(contents) > _MAX_UPLOAD_BYTES:
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results.append({"name": name, "ok": False, "error": "File too large (max 50 MB)"})
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continue
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staged = staging / name
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staged.write_bytes(contents)
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kept = False
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try:
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activity = parse_file(staged)
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# Enrich with CSV metadata when available (matched by filename)
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if metadata is not None:
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metadata.enrich(name, activity)
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activity_id = make_activity_id(activity)
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if (dd / "activities" / f"{activity_id}.json").exists():
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results.append({"name": name, "ok": False, "error": "duplicate"})
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for n, (name, contents) in enumerate(activity_items, 1):
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suffix = _file_suffix(name)
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if suffix not in _SUPPORTED_SUFFIXES:
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errors += 1
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yield f"data: {json.dumps({'type': 'progress', 'n': n, 'total': total_files, 'name': name, 'status': 'error', 'detail': 'unsupported type'})}\n\n"
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continue
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ingest_parsed(activity, dd, privacy="public")
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if len(contents) > _MAX_UPLOAD_BYTES:
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errors += 1
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yield f"data: {json.dumps({'type': 'progress', 'n': n, 'total': total_files, 'name': name, 'status': 'error', 'detail': 'file too large'})}\n\n"
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continue
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if store_original:
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originals_dir = dd / "originals"
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originals_dir.mkdir(exist_ok=True)
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staged.rename(originals_dir / name)
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kept = True
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staged = staging / name
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staged.write_bytes(contents)
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kept = False
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try:
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activity = parse_file(staged)
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if metadata is not None:
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metadata.enrich(name, activity)
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activity_id = make_activity_id(activity)
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if (dd / "activities" / f"{activity_id}.json").exists():
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duplicates += 1
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yield f"data: {json.dumps({'type': 'progress', 'n': n, 'total': total_files, 'name': name, 'status': 'duplicate'})}\n\n"
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continue
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ingest_parsed(activity, dd, privacy="public")
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if store_original:
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originals_dir = dd / "originals"
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originals_dir.mkdir(exist_ok=True)
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staged.rename(originals_dir / name)
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kept = True
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added += 1
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any_added = True
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yield f"data: {json.dumps({'type': 'progress', 'n': n, 'total': total_files, 'name': name, 'status': 'imported'})}\n\n"
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except Exception:
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errors += 1
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yield f"data: {json.dumps({'type': 'progress', 'n': n, 'total': total_files, 'name': name, 'status': 'error'})}\n\n"
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finally:
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if not kept:
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staged.unlink(missing_ok=True)
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results.append({"name": name, "ok": True, "id": activity_id})
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any_added = True
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except Exception:
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results.append({"name": name, "ok": False, "error": "Processing failed"})
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finally:
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if not kept:
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staged.unlink(missing_ok=True)
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csv_updates = 0
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if metadata is not None:
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from bincio.extract.strava_csv import apply_csv_to_data_dir
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csv_updates = apply_csv_to_data_dir(dd, metadata)
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if csv_updates:
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yield f"data: {json.dumps({'type': 'csv', 'updates': csv_updates})}\n\n"
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# Retroactively update sidecars for existing activities matched by strava_id
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csv_updates = 0
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if metadata is not None:
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from bincio.extract.strava_csv import apply_csv_to_data_dir
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csv_updates = apply_csv_to_data_dir(dd, metadata)
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if any_added or csv_updates:
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merge_all(dd)
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if any_added or csv_updates:
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merge_all(dd)
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yield f"data: {json.dumps({'type': 'done', 'added': added, 'csv_updates': csv_updates, 'duplicates': duplicates, 'errors': errors})}\n\n"
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added = [r for r in results if r["ok"]]
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return JSONResponse({"ok": True, "added": len(added), "csv_updates": csv_updates, "results": results})
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return StreamingResponse(
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event_stream(),
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media_type="text/event-stream",
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headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
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)
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@app.post("/api/import-bas")
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