DB: write incrementally after each camera, Flask dashboard with single-camera view

- batch_runner: _store_to_db after each camera (not just at end)
- dashboard: Flask app with templates/index.html
- Single-camera full-screen live stream with auto-switch
- DB history panel in sidebar
- store_results.py: standalone script for existing reports
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proitlab committed 2026-07-22 14:25:35 +07:00
1 parent 6dbaa517dc
commit efd4726bc6
4 files changed
+446 -278

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@@ -13,6 +13,59 @@ from chicken_counter.report import build_batch_report, persist_batch_reports
from chicken_counter.types import CameraBatchResult
def _store_to_db(report_path: Path, location: str, db_path: str) -> None:
if not location or not db_path:
return
import json
import sqlite3
try:
with open(report_path) as f:
report = json.load(f)
except Exception:
return
Path(db_path).parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(db_path)
conn.execute("PRAGMA journal_mode=WAL")
conn.execute("""CREATE TABLE IF NOT EXISTS batch_runs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
date TEXT NOT NULL, location TEXT NOT NULL, camera_id TEXT NOT NULL,
total_entered INTEGER NOT NULL DEFAULT 0,
frames_processed INTEGER NOT NULL DEFAULT 0,
elapsed_seconds REAL NOT NULL DEFAULT 0.0,
stopped_reason TEXT NOT NULL DEFAULT '',
source_video TEXT NOT NULL DEFAULT '',
generated_at TEXT NOT NULL DEFAULT '',
UNIQUE(date, location, camera_id))""")
date = report["date"]
for camera_id, entry in report["cameras"].items():
if entry.get("skipped"):
continue
conn.execute("""INSERT INTO batch_runs
(date, location, camera_id, total_entered, frames_processed,
elapsed_seconds, stopped_reason, source_video, generated_at)
VALUES (?,?,?,?,?,?,?,?,?)
ON CONFLICT(date, location, camera_id) DO UPDATE SET
total_entered=excluded.total_entered,
frames_processed=excluded.frames_processed,
elapsed_seconds=excluded.elapsed_seconds,
stopped_reason=excluded.stopped_reason,
source_video=excluded.source_video,
generated_at=excluded.generated_at""",
(date, location, camera_id,
entry.get("total_entered", 0),
entry.get("frames_processed", 0),
entry.get("elapsed_seconds", 0),
entry.get("stopped_reason", ""),
entry.get("source_video", ""),
report.get("generated_at", "")))
conn.commit()
conn.close()
print(f"[db] stored {date} ({location}) → {db_path}")
def run_daily_batch(settings: BatchSettings, date: str | None = None, *, verbose: bool = False, no_video: bool = False, show_progress: bool = False) -> Path:
run_date = date or date_type.today().isoformat()
day_dir = Path(settings.batch.root_dir) / run_date
@@ -43,6 +96,7 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None, *, verbose
)
)
persist_batch_reports(run_date, camera_results, output_dir)
_store_to_db(report_path, settings.batch.location, settings.batch.db_path)
continue
source_path = discovery.found[camera_id]
@@ -70,6 +124,7 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None, *, verbose
f"frames={pipeline_result.frames_processed} reason={pipeline_result.stopped_reason}"
)
persist_batch_reports(run_date, camera_results, output_dir)
_store_to_db(report_path, settings.batch.location, settings.batch.db_path)
if no_video:
persist_batch_reports(run_date, camera_results, output_dir)
@@ -78,6 +133,7 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None, *, verbose
f"[batch] complete for {run_date}: total_entered_sum={report.total_entered_sum} "
f"report={report_path}"
)
_store_to_db(report_path, settings.batch.location, settings.batch.db_path)
return report_path
print("[batch] all cameras complete; starting compression")
@@ -106,4 +162,5 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None, *, verbose
f"[batch] complete for {run_date}: total_entered_sum={report.total_entered_sum} "
f"report={report_path}"
)
_store_to_db(report_path, settings.batch.location, settings.batch.db_path)
return report_path