Files
chicken-counting-sukawarna-det/store_results.py
T
proitlab efd4726bc6 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
2026-07-22 14:25:35 +07:00

132 lines
4.2 KiB
Python

#!/usr/bin/env python3
"""Store batch run results into a SQLite database.
Reads the aggregate JSON report written by the batch runner and inserts
all camera-level + summary data. Safe to run multiple times — uses
(date, location, camera_id) as the unique key, so re-runs update
existing rows instead of duplicating.
Usage:
python3 store_results.py /path/to/output/counts_2026-06-10.json --location kandang-atas
python3 store_results.py /path/to/output/counts_2026-06-10.json --db /var/lib/chickens.db
"""
from __future__ import annotations
import argparse
import json
import sqlite3
import sys
from pathlib import Path
CREATE_TABLE = """
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)
)
"""
INSERT_SQL = """
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
"""
SUMMARY_QUERY = """
SELECT
date,
location,
COUNT(*) AS camera_count,
SUM(total_entered) AS total_chickens,
SUM(elapsed_seconds) AS total_seconds,
ROUND(SUM(elapsed_seconds) / 60.0, 1) AS total_minutes
FROM batch_runs
WHERE date = ? AND location = ?
GROUP BY date, location
"""
def store_report(report_path: str, location: str, db_path: str) -> None:
with open(report_path) as f:
report = json.load(f)
date = report["date"]
cameras = report["cameras"]
generated_at = report.get("generated_at", "")
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)
rows = 0
for camera_id, entry in cameras.items():
if entry.get("skipped"):
continue
conn.execute(INSERT_SQL, (
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", ""),
generated_at,
))
rows += 1
conn.commit()
# print summary
row = conn.execute(SUMMARY_QUERY, (date, location)).fetchone()
if row:
print(f"\n[db] {row[0]} | {row[1]} | {row[2]} cameras | "
f"{row[3]} chickens | {row[4]:.0f}s ({row[5]} min)")
# also print per-camera breakdown
cur = conn.execute(
"SELECT camera_id, total_entered, elapsed_seconds "
"FROM batch_runs WHERE date=? AND location=? ORDER BY camera_id",
(date, location))
for cam_id, count, secs in cur:
print(f" {cam_id}: {count} chickens, {secs:.0f}s")
conn.close()
print(f"\n[db] wrote {rows} rows to {db_path}")
def main():
parser = argparse.ArgumentParser(
description="Store batch run results into SQLite")
parser.add_argument("report", help="Path to counts_YYYY-MM-DD.json")
parser.add_argument("--location", required=True, help="Location name (e.g. kandang-atas)")
parser.add_argument("--db", default="chicken_counts.db", help="SQLite database path")
args = parser.parse_args()
if not Path(args.report).exists():
print(f"error: report not found: {args.report}", file=sys.stderr)
sys.exit(1)
store_report(args.report, args.location, args.db)
if __name__ == "__main__":
main()