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fix: reserve and persist background jobs

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This commit is contained in:
Hermes Agent
2026-07-26 23:07:30 +00:00
parent 3b1bc9a2bf
commit 111b458ddf
4 changed files with 292 additions and 43 deletions
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dashboard/server.py
+97 -43
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@@ -37,9 +37,11 @@ from dashboard.persistence import (
merge_observation,
onchain_refresh_due,
)
from dashboard.jobs import JobRegistry
_shutdown_event = threading.Event()
_background_threads = []
_threads_lock = threading.Lock()
@asynccontextmanager
@@ -47,15 +49,19 @@ async def lifespan(_app):
"""Own background worker startup and graceful shutdown."""
_shutdown_event.clear()
scraper_thread = threading.Thread(target=scraper_loop, name="scraper-scheduler")
_background_threads.append(scraper_thread)
with _threads_lock:
_background_threads.append(scraper_thread)
scraper_thread.start()
try:
yield
finally:
_shutdown_event.set()
for thread in list(_background_threads):
with _threads_lock:
threads = list(_background_threads)
for thread in threads:
thread.join(timeout=30)
_background_threads.clear()
with _threads_lock:
_background_threads.clear()
app = FastAPI(title="Bitcoin Accumulation Zone Monitor", lifespan=lifespan)
@@ -65,8 +71,10 @@ DATA_DIR = os.path.join(BASE_DIR, "data")
CACHE_PATH = os.path.join(DATA_DIR, "cache.json")
HISTORY_PATH = os.path.join(DATA_DIR, "score_history.jsonl")
LLM_SETTINGS_PATH = os.path.join(CONFIG_DIR, "llm_settings.json")
JOBS_PATH = os.path.join(DATA_DIR, "jobs.json")
os.makedirs(DATA_DIR, exist_ok=True)
_jobs = JobRegistry(JOBS_PATH)
# Background scraper state
_scraper_lock = threading.Lock()
@@ -74,6 +82,32 @@ _scraper_running = False
_last_update = None
_last_error = None
def _job_worker(job_id, operation):
try:
_jobs.run(job_id, operation)
except Exception:
log.error("Background job %s failed:\n%s", job_id, traceback.format_exc())
finally:
current = threading.current_thread()
with _threads_lock:
if current in _background_threads:
_background_threads.remove(current)
def _spawn_job(job, operation):
"""Start an already-reserved job in a tracked, non-daemon thread."""
thread = threading.Thread(
target=_job_worker,
args=(job["id"], operation),
name=f"{job['kind']}-{job['id'][:8]}",
)
with _threads_lock:
_background_threads.append(thread)
thread.start()
return thread
# ── Cache management ──────────────────────────────────────────────────────
def load_cache():
@@ -268,14 +302,20 @@ def run_scrape(force_full=False):
_scraper_running = False
def _run_scheduled_refresh(force_full=False):
job = _jobs.reserve("refresh", details={"full": force_full, "scheduled": True})
if job is not None:
_jobs.run(job["id"], lambda: run_scrape(force_full=force_full))
def scraper_loop():
"""Background loop: quick refresh every 15min. Full scrape only on first boot with no data."""
"""Background loop: refresh quickly every 15 minutes, with on-chain TTL handling."""
cache = load_cache()
has_data = any(cache.get(k, {}).get("value") is not None
has_data = any(cache.get(k, {}).get("value") is not None
for k in ["puell_multiple", "mvrv_zscore", "nupl"])
run_scrape(force_full=not has_data) # Full only if no cached on-chain data
_run_scheduled_refresh(force_full=not has_data)
while not _shutdown_event.wait(900):
run_scrape() # Quick refresh only
_run_scheduled_refresh()
# ── LLM Settings (preserved from original) ───────────────────────────────
@@ -449,16 +489,31 @@ def api_history():
return load_history()[-90:] # Last 90 entries
@app.post("/api/refresh")
@app.post("/api/refresh", status_code=202)
def api_refresh(full: bool = False):
"""Trigger a scrape. Quick refresh (default) updates price + F&G only (~2s).
Full refresh (?full=true) also re-scrapes on-chain data via Playwright (~2-3min)."""
if _scraper_running:
return JSONResponse({"error": "Scrape already in progress"}, status_code=409)
t = threading.Thread(target=run_scrape, kwargs={"force_full": full}, daemon=True)
t.start()
"""Atomically reserve and start a quick or full metric refresh."""
job = _jobs.reserve("refresh", details={"full": full, "scheduled": False})
if job is None:
active = _jobs.active("refresh")
return JSONResponse(
{"error": "Scrape already in progress", "job": active}, status_code=409
)
_spawn_job(job, lambda: run_scrape(force_full=full))
mode = "full (on-chain + price + F&G)" if full else "quick (price + F&G only)"
return {"ok": True, "message": f"Scrape started — {mode}"}
return {
"ok": True,
"job_id": job["id"],
"status": job["status"],
"message": f"Scrape started — {mode}",
}
@app.get("/api/jobs/{job_id}")
def api_job_status(job_id: str):
job = _jobs.get(job_id)
if job is None:
return JSONResponse({"error": "Job not found"}, status_code=404)
return job
# Settings routes (preserved)
@@ -1500,9 +1555,6 @@ loadSettings();
# ── Backtest API ───────────────────────────────────────────────────────
_history_collector_running = False
_history_collector_progress = {}
@app.get("/api/backtest")
def api_backtest(mode: str = "classic"):
@@ -1528,43 +1580,45 @@ def api_backtest_history():
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/backtest/collect")
@app.post("/api/backtest/collect", status_code=202)
def api_backtest_collect():
"""Trigger historical data collection."""
global _history_collector_running, _history_collector_progress
if _history_collector_running:
return JSONResponse({"error": "Collection already in progress", "progress": _history_collector_progress}, status_code=409)
"""Atomically reserve and start historical data collection."""
initial_progress = {"status": "starting", "current": "", "step": 0, "total": 0}
job = _jobs.reserve("history")
if job is None:
active = _jobs.active("history")
return JSONResponse(
{"error": "Collection already in progress", "job": active}, status_code=409
)
_jobs.update_progress(job["id"], initial_progress)
def _run_collector():
global _history_collector_running, _history_collector_progress
_history_collector_running = True
_history_collector_progress = {"status": "starting", "current": "", "step": 0, "total": 0}
try:
from scrapers.history_collector import collect_all_history
from scrapers.history_collector import collect_all_history
def progress_cb(metric, step, total):
_history_collector_progress = {"status": "scraping", "current": metric, "step": step + 1, "total": total}
def progress_cb(metric, step, total):
_jobs.update_progress(job["id"], {
"status": "scraping", "current": metric,
"step": step + 1, "total": total,
})
collect_all_history(progress_cb=progress_cb)
_history_collector_progress = {"status": "complete"}
except Exception as e:
log.error("History collection error: %s", traceback.format_exc())
_history_collector_progress = {"status": "error", "error": str(e)}
finally:
_history_collector_running = False
collect_all_history(progress_cb=progress_cb)
_jobs.update_progress(job["id"], {"status": "complete"})
return {"collected": True}
t = threading.Thread(target=_run_collector, daemon=True)
t.start()
return {"ok": True, "message": "Collection started"}
_spawn_job(job, _run_collector)
return {"ok": True, "job_id": job["id"], "status": job["status"],
"message": "Collection started"}
@app.get("/api/backtest/status")
def api_backtest_status():
"""Check if historical data exists and collection status."""
"""Check historical data and expose only the active collection job's progress."""
from scrapers.history_collector import history_status
status = history_status()
status["collecting"] = _history_collector_running
status["progress"] = _history_collector_progress
active = _jobs.active("history")
status["collecting"] = active is not None
status["job_id"] = active.get("id") if active else None
status["progress"] = active.get("progress", {}) if active else {}
return status