557 lines
19 KiB
Python
557 lines
19 KiB
Python
#!/usr/bin/env python3
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"""
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Edge Jetson production counter dashboard.
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Reads jetson_counter.db + current_batch.json from jetson-counter stack.
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Default port 5000 (replaces frigate-counter dashboard role).
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"""
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import json
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import os
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import sqlite3
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import time
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from io import BytesIO
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from datetime import datetime, timedelta
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from openpyxl import Workbook
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from openpyxl.styles import Font, Alignment, PatternFill, Border, Side
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from flask import Flask, render_template, jsonify, request, Response
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from werkzeug.serving import WSGIRequestHandler
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from dotenv import load_dotenv
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load_dotenv()
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app = Flask(__name__, template_folder="templates")
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app.config["SECRET_KEY"] = os.getenv("SECRET_KEY", "change-me-in-production")
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_DEFAULT_DIR = "/opt/jetson-counter"
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DB_PATH = os.getenv("DB_PATH", f"{_DEFAULT_DIR}/jetson_counter.db")
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CURRENT_BATCH_PATH = os.getenv("STATE_FILE", os.getenv("CURRENT_BATCH_PATH", f"{_DEFAULT_DIR}/current_batch.json"))
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CUTOFF_TIME = os.getenv("CUTOFF_TIME", os.getenv("DAILY_CUTOFF_TIME", "20:00"))
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LIVE_STREAM_FRAME_PATH = os.getenv("LIVE_STREAM_FRAME_PATH", "/dev/shm/jetson-counter/live_frame.jpg")
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SITE_NAME = os.getenv("SITE_NAME", "LIVE")
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DASHBOARD_PORT = int(os.getenv("DASHBOARD_PORT", "5000"))
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DASHBOARD_HOST = os.getenv("DASHBOARD_HOST", "0.0.0.0")
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FLASK_DEBUG = os.getenv("FLASK_DEBUG", "false").lower() == "true"
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@app.route("/api/live-video")
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def api_live_video():
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if not os.path.isfile(LIVE_STREAM_FRAME_PATH):
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return jsonify({"success": False, "error": "Live stream frame not available yet"}), 503
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def generate():
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consecutive_fails = 0
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MAX_FAILS = 30
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while True:
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try:
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with open(LIVE_STREAM_FRAME_PATH, "rb") as f:
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jpeg = f.read()
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consecutive_fails = 0
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yield (b"--frame\r\n"
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b"Content-Type: image/jpeg\r\n\r\n" + jpeg + b"\r\n")
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except FileNotFoundError:
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consecutive_fails += 1
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if consecutive_fails >= MAX_FAILS:
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return
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time.sleep(1.0)
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continue
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except Exception:
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consecutive_fails += 1
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if consecutive_fails >= MAX_FAILS:
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return
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time.sleep(0.5)
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continue
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time.sleep(0.05)
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return Response(generate(), mimetype="multipart/x-mixed-replace; boundary=frame")
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def _ensure_db():
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conn = sqlite3.connect(DB_PATH)
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cur = conn.cursor()
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cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS batches (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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counting_date TEXT NOT NULL,
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batch_number INTEGER NOT NULL,
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camera_name TEXT NOT NULL,
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object_label TEXT NOT NULL,
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count INTEGER NOT NULL,
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start_time TEXT NOT NULL,
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end_time TEXT NOT NULL,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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UNIQUE(counting_date, batch_number, camera_name, object_label)
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)
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"""
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)
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cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS daily_summaries (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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counting_date TEXT NOT NULL,
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camera_name TEXT NOT NULL,
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object_label TEXT NOT NULL,
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total_count INTEGER NOT NULL DEFAULT 0,
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total_batches INTEGER NOT NULL DEFAULT 0,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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UNIQUE(counting_date, camera_name, object_label)
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)
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"""
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)
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conn.commit()
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conn.close()
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_ensure_db()
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def get_db():
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row
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return conn
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def get_counting_date(dt=None, cutoff_str=CUTOFF_TIME):
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if dt is None:
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dt = datetime.now()
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cutoff = datetime.strptime(cutoff_str, "%H:%M").time()
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if dt.time() < cutoff:
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return dt.date().isoformat()
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return (dt.date() + timedelta(days=1)).isoformat()
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@app.route("/")
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def index():
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return render_template("dashboard.html", site_name=SITE_NAME)
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@app.route("/api/current-batch")
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def api_current_batch():
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try:
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with open(CURRENT_BATCH_PATH, "r") as f:
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data = json.load(f)
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return jsonify(
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{
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"success": True,
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"counting_date": data.get("counting_date"),
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"batch_number": data.get("batch_number"),
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"count": data.get("count", 0),
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"start_time": data.get("start_time"),
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"last_detection_time": data.get("last_detection_time"),
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}
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)
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except FileNotFoundError:
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return jsonify(
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{
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"success": False,
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"error": "No active batch",
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"count": 0,
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"batch_number": None,
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"counting_date": None,
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}
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), 200
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except Exception as e:
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return jsonify(
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{
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"success": False,
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"error": str(e),
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"count": 0,
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"batch_number": None,
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"counting_date": None,
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}
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), 500
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@app.route("/api/previous-batch")
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def api_previous_batch():
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try:
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conn = get_db()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT counting_date, batch_number, count, start_time, end_time,
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ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes
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FROM batches
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ORDER BY end_time DESC
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LIMIT 1
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"""
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)
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row = cur.fetchone()
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conn.close()
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if row:
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return jsonify(
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{
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"success": True,
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"date": row["counting_date"],
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"batch_number": row["batch_number"],
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"count": row["count"],
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"start_time": row["start_time"],
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"end_time": row["end_time"],
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"duration_minutes": row["duration_minutes"],
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}
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)
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return jsonify({"success": False, "error": "No previous batch"}), 200
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except sqlite3.OperationalError as e:
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return jsonify({"success": False, "error": f"Database unavailable: {e}"}), 200
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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@app.route("/api/summary")
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def api_summary():
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try:
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conn = get_db()
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cur = conn.cursor()
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today = get_counting_date()
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cur.execute(
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"""
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SELECT COALESCE(total_count, 0) as total_count,
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COALESCE(total_batches, 0) as total_batches
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FROM daily_summaries
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WHERE counting_date = ?
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""",
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(today,),
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)
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today_row = cur.fetchone()
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yesterday = (datetime.strptime(today, "%Y-%m-%d").date() - timedelta(days=1)).isoformat()
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cur.execute(
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"""
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SELECT COALESCE(total_count, 0) as total_count,
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COALESCE(total_batches, 0) as total_batches
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FROM daily_summaries
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WHERE counting_date = ?
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""",
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(yesterday,),
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)
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yesterday_row = cur.fetchone()
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cur.execute(
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"""
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SELECT COALESCE(SUM(total_count), 0) as grand_total,
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COALESCE(SUM(total_batches), 0) as grand_batches,
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COUNT(DISTINCT counting_date) as total_days
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FROM daily_summaries
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"""
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)
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all_time = cur.fetchone()
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cur.execute("SELECT ROUND(AVG(total_count), 1) as avg_per_day FROM daily_summaries")
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avg = cur.fetchone()
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cur.execute(
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"""
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SELECT counting_date, total_count
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FROM daily_summaries
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ORDER BY total_count DESC
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LIMIT 1
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"""
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)
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best = cur.fetchone()
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conn.close()
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return jsonify(
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{
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"today": {
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"date": today,
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"total_count": today_row["total_count"] if today_row else 0,
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"total_batches": today_row["total_batches"] if today_row else 0,
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},
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"yesterday": {
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"date": yesterday,
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"total_count": yesterday_row["total_count"] if yesterday_row else 0,
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"total_batches": yesterday_row["total_batches"] if yesterday_row else 0,
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},
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"all_time": {
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"grand_total": all_time["grand_total"],
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"grand_batches": all_time["grand_batches"],
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"total_days": all_time["total_days"],
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},
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"average_per_day": avg["avg_per_day"] or 0,
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"best_day": {
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"date": best["counting_date"] if best else None,
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"count": best["total_count"] if best else 0,
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},
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}
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)
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except sqlite3.OperationalError as e:
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return jsonify({"success": False, "error": f"Database unavailable: {e}", "today": {"date": datetime.now().date().isoformat(), "total_count": 0, "total_batches": 0}, "yesterday": {"date": "", "total_count": 0, "total_batches": 0}, "all_time": {"grand_total": 0, "grand_batches": 0, "total_days": 0}, "average_per_day": 0, "best_day": {"date": None, "count": 0}}), 200
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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@app.route("/api/daily-data")
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def api_daily_data():
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try:
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days = request.args.get("days", 30, type=int)
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date_from = (datetime.now() - timedelta(days=days)).date().isoformat()
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conn = get_db()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT counting_date, total_count, total_batches,
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ROUND(CAST(total_count AS FLOAT) / total_batches, 1) as avg_per_batch
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FROM daily_summaries
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WHERE counting_date >= ?
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ORDER BY counting_date ASC
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""",
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(date_from,),
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)
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daily_data = [
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{
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"date": row["counting_date"],
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"total_count": row["total_count"],
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"total_batches": row["total_batches"],
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"avg_per_batch": row["avg_per_batch"] or 0,
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}
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for row in cur.fetchall()
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]
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conn.close()
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return jsonify(daily_data)
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except sqlite3.OperationalError as e:
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return jsonify([]), 200
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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@app.route("/api/day-detail/<date>")
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def api_day_detail(date):
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try:
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conn = get_db()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT batch_number, count, start_time, end_time,
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ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes
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FROM batches
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WHERE counting_date = ?
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ORDER BY batch_number ASC
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""",
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(date,),
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)
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batches = []
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total_duration = 0
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for row in cur.fetchall():
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duration = row["duration_minutes"] or 0
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total_duration += duration
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batches.append(
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{
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"batch_number": row["batch_number"],
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"count": row["count"],
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"start_time": row["start_time"],
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"end_time": row["end_time"],
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"duration_minutes": duration,
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}
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)
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cur.execute(
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"""
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SELECT total_count, total_batches
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FROM daily_summaries
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WHERE counting_date = ?
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""",
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(date,),
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)
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summary = cur.fetchone()
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conn.close()
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return jsonify(
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{
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"date": date,
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"total_count": summary["total_count"] if summary else 0,
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"total_batches": summary["total_batches"] if summary else 0,
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"total_duration_minutes": round(total_duration, 1),
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"avg_duration_minutes": round(total_duration / len(batches), 1) if batches else 0,
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"batches": batches,
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}
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)
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except sqlite3.OperationalError as e:
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return jsonify({"date": date, "total_count": 0, "total_batches": 0, "total_duration_minutes": 0, "avg_duration_minutes": 0, "batches": [], "error": f"Database unavailable: {e}"}), 200
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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@app.route("/api/recent-batches")
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def api_recent_batches():
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try:
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limit = request.args.get("limit", 10, type=int)
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conn = get_db()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT counting_date, batch_number, count, start_time, end_time,
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ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes
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FROM batches
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ORDER BY end_time DESC
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LIMIT ?
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""",
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(limit,),
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)
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batches = [
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{
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"date": row["counting_date"],
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"batch_number": row["batch_number"],
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"count": row["count"],
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"start_time": row["start_time"],
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"end_time": row["end_time"],
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"duration_minutes": row["duration_minutes"] or 0,
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}
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for row in cur.fetchall()
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]
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conn.close()
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return jsonify(batches)
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except sqlite3.OperationalError as e:
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return jsonify([]), 200
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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@app.route("/api/available-dates")
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def api_available_dates():
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try:
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conn = get_db()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT counting_date, total_count, total_batches
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FROM daily_summaries
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ORDER BY counting_date DESC
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"""
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)
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dates = [
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{
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"date": row["counting_date"],
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"total_count": row["total_count"],
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"total_batches": row["total_batches"],
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}
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for row in cur.fetchall()
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]
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conn.close()
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return jsonify(dates)
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except sqlite3.OperationalError as e:
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return jsonify([]), 200
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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def _excel_response(wb, filename):
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output = BytesIO()
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wb.save(output)
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output.seek(0)
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return Response(
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output.getvalue(),
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mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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headers={"Content-Disposition": f"attachment; filename={filename}"},
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)
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def _style_header(ws, cols):
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header_font = Font(bold=True, color="FFFFFF", size=11)
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header_fill = PatternFill(start_color="2F5496", end_color="2F5496", fill_type="solid")
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thin_border = Border(
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left=Side(style="thin"), right=Side(style="thin"),
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top=Side(style="thin"), bottom=Side(style="thin"),
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)
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for col_idx, (col_letter, text) in enumerate(cols, 1):
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cell = ws.cell(row=1, column=col_idx, value=text)
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cell.font = header_font
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cell.fill = header_fill
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cell.alignment = Alignment(horizontal="center")
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cell.border = thin_border
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ws.freeze_panes = "A2"
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def _auto_width(ws):
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for col in ws.columns:
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max_len = 0
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col_letter = col[0].column_letter
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for cell in col:
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if cell.value is not None:
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max_len = max(max_len, len(str(cell.value)))
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ws.column_dimensions[col_letter].width = max_len + 4
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@app.route("/api/export-daily-csv")
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def export_daily_xlsx():
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try:
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days = request.args.get("days", 30, type=int)
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date_from = (datetime.now() - timedelta(days=days)).date().isoformat()
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conn = get_db()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT counting_date, batch_number, count, start_time, end_time,
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ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes
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FROM batches
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WHERE counting_date >= ?
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ORDER BY counting_date ASC, batch_number ASC
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""",
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(date_from,),
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)
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rows = cur.fetchall()
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conn.close()
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except sqlite3.OperationalError as e:
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return jsonify({"success": False, "error": f"Database unavailable: {e}"}), 503
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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wb = Workbook()
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ws = wb.active
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ws.title = "Batch Details"
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_style_header(ws, [("A", "Date"), ("B", "Batch #"), ("C", "Count"), ("D", "Start Time"), ("E", "End Time"), ("F", "Duration (min)")])
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for r_idx, row in enumerate(rows, 2):
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ws.cell(row=r_idx, column=1, value=row["counting_date"])
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ws.cell(row=r_idx, column=2, value=row["batch_number"])
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ws.cell(row=r_idx, column=3, value=row["count"])
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ws.cell(row=r_idx, column=4, value=row["start_time"])
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ws.cell(row=r_idx, column=5, value=row["end_time"])
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ws.cell(row=r_idx, column=6, value=row["duration_minutes"] or 0)
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_auto_width(ws)
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filename = f"{SITE_NAME}_daily_records_{datetime.now().strftime('%Y%m%d_%H%M%S')}.xlsx"
|
|
return _excel_response(wb, filename)
|
|
|
|
|
|
@app.route("/api/export-day-csv/<date>")
|
|
def export_day_xlsx(date):
|
|
try:
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
"""
|
|
SELECT batch_number, count, start_time, end_time,
|
|
ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes
|
|
FROM batches
|
|
WHERE counting_date = ?
|
|
ORDER BY batch_number ASC
|
|
""",
|
|
(date,),
|
|
)
|
|
rows = cur.fetchall()
|
|
conn.close()
|
|
except sqlite3.OperationalError as e:
|
|
return jsonify({"success": False, "error": f"Database unavailable: {e}"}), 503
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
wb = Workbook()
|
|
ws = wb.active
|
|
ws.title = f"Day {date}"
|
|
_style_header(ws, [("A", "Batch Number"), ("B", "Count"), ("C", "Start Time"), ("D", "End Time"), ("E", "Duration (min)")])
|
|
|
|
for r_idx, row in enumerate(rows, 2):
|
|
ws.cell(row=r_idx, column=1, value=row["batch_number"])
|
|
ws.cell(row=r_idx, column=2, value=row["count"])
|
|
ws.cell(row=r_idx, column=3, value=row["start_time"])
|
|
ws.cell(row=r_idx, column=4, value=row["end_time"])
|
|
ws.cell(row=r_idx, column=5, value=row["duration_minutes"] or 0)
|
|
|
|
_auto_width(ws)
|
|
filename = f"{SITE_NAME}_day_detail_{date}.xlsx"
|
|
return _excel_response(wb, filename)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
WSGIRequestHandler.protocol_version = "HTTP/1.1"
|
|
print(f"Jetson counter dashboard at http://{DASHBOARD_HOST}:{DASHBOARD_PORT}")
|
|
print(f"DB: {DB_PATH}")
|
|
print(f"State: {CURRENT_BATCH_PATH}")
|
|
app.run(host=DASHBOARD_HOST, port=DASHBOARD_PORT, debug=FLASK_DEBUG)
|