andrew
2d9c66cbb6
ci / smoke (push) Canceled after 0s
- config.yaml canonical for stream/models/counting/batch/output/camera - models.modes hold engines+class filters only; conf/iou/min_bbox in detection_params - predict.py derives tracker roles structurally (no per-mode branching) - dashboard mode switch validates + persists atomically to config.yaml - .env keeps secrets/deployment only; zones.json geometry; tracker.yaml hyperparams - batch_mode.json keeps manual/auto batch mode; legacy model_mode ignored w/ warning - src/detection+tracking gain iou param (default 0.7 = no behavior change)
958 lines
34 KiB
Python
958 lines
34 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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# Unified config (config.yaml canonical; .env supplies secrets/deployment-only
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# values: RTSP_URL, dashboard host/ports/secret/site). Env vars still override
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# file paths when explicitly set (backward compatible with old deployments).
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from src.config_loader import load_config, set_active_mode
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_CONFIG_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "config.yaml")
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CFG = load_config(_CONFIG_PATH)
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def _env_or(cfg_value, *env_keys):
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"""Backward compat: explicit env var wins over config.yaml for file paths."""
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for k in env_keys:
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v = os.getenv(k)
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if v:
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return v
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return cfg_value
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app = Flask(__name__, template_folder="templates")
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app.config["SECRET_KEY"] = CFG.dashboard.secret_key
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if os.name == "nt":
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_DEFAULT_DIR = "d:/Belajar/menghitung karung"
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DB_PATH = f"{_DEFAULT_DIR}/jetson_counter.db"
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CURRENT_BATCH_PATH = f"{_DEFAULT_DIR}/current_batch.json"
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BATCH_MODE_PATH = f"{_DEFAULT_DIR}/batch_mode.json"
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LIVE_STREAM_FRAME_PATH = f"{_DEFAULT_DIR}/live_frame.jpg"
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LIVE_STATUS_FILE = f"{_DEFAULT_DIR}/live_status.json"
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else:
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_DEFAULT_DIR = CFG.output.dir
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DB_PATH = _env_or(os.path.join(_DEFAULT_DIR, CFG.output.db_name), "DB_PATH")
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CURRENT_BATCH_PATH = _env_or(
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os.path.join(_DEFAULT_DIR, CFG.output.state_file),
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"STATE_FILE", "CURRENT_BATCH_PATH")
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BATCH_MODE_PATH = _env_or(
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os.path.join(_DEFAULT_DIR, CFG.output.batch_mode_file), "BATCH_MODE_FILE")
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LIVE_STREAM_FRAME_PATH = _env_or(CFG.output.live_frame_path, "LIVE_STREAM_FRAME_PATH")
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LIVE_STATUS_FILE = _env_or(CFG.output.live_status_path, "LIVE_STATUS_FILE")
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CUTOFF_TIME = _env_or(CFG.batch.daily_cutoff_time, "CUTOFF_TIME", "DAILY_CUTOFF_TIME")
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SITE_NAME = CFG.dashboard.site_name
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DASHBOARD_PORT = CFG.dashboard.port
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DASHBOARD_HOST = CFG.dashboard.host
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FLASK_DEBUG = CFG.dashboard.debug
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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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# Additive migration for box counting + model mode (idempotent).
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cur.execute("PRAGMA table_info(batches)")
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_cols = {r[1] for r in cur.fetchall()}
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for _col, _typ in (
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("box_loading", "INTEGER NOT NULL DEFAULT 0"),
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("box_unloading", "INTEGER NOT NULL DEFAULT 0"),
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("model_mode", "TEXT NOT NULL DEFAULT 'A'"),
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):
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if _col not in _cols:
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cur.execute(f"ALTER TABLE batches ADD COLUMN {_col} {_typ}")
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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 _batches_box_select():
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"""Box/model select exprs — real columns when migrated, literals otherwise."""
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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("PRAGMA table_info(batches)")
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cols = {r[1] for r in cur.fetchall()}
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conn.close()
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except Exception:
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cols = set()
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if {"box_loading", "box_unloading", "model_mode"} <= cols:
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return "box_loading, box_unloading, model_mode"
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return "0 AS box_loading, 0 AS box_unloading, 'A' AS model_mode"
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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 cutoff.hour == 0 and cutoff.minute == 0:
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return dt.date().isoformat()
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if dt.time() < cutoff:
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return (dt.date() - timedelta(days=1)).isoformat()
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return dt.date().isoformat()
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CAMERA_NAME = _env_or(CFG.camera.name, "CAMERA_NAME")
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OBJECT_LABEL = _env_or(CFG.camera.object_label, "OBJECT_LABEL")
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OFFICE_PORT = CFG.dashboard.office_port
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def is_office_request():
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"""Check if request comes from office port."""
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server_port = request.environ.get("SERVER_PORT", str(DASHBOARD_PORT))
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# Also check Host header if port is in Host (e.g. 192.168.192.96:5721)
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host_header = request.headers.get("Host", "")
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if f":{OFFICE_PORT}" in host_header or str(server_port) == str(OFFICE_PORT):
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return True
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return False
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@app.route("/")
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@app.route("/monitoring")
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def index():
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if is_office_request():
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return render_template("monitoring.html", site_name=SITE_NAME, show_nav=True)
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# Port 5000 (Operator)
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return render_template("operator.html", site_name=SITE_NAME, show_nav=False)
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@app.route("/operator")
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def operator_page():
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return render_template("operator.html", site_name=SITE_NAME, show_nav=False)
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@app.route("/history")
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def history_page():
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if not is_office_request():
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return render_template("operator.html", site_name=SITE_NAME, show_nav=False)
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return render_template("history.html", site_name=SITE_NAME, show_nav=True)
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@app.route("/analytics")
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def analytics_page():
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if not is_office_request():
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return render_template("operator.html", site_name=SITE_NAME, show_nav=False)
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return render_template("analytics.html", site_name=SITE_NAME, show_nav=True)
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def get_next_batch_number(counting_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 COALESCE(MAX(batch_number), 0)
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FROM batches
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WHERE counting_date = ? AND camera_name = ? AND object_label = ?
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""",
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(counting_date, CAMERA_NAME, OBJECT_LABEL),
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)
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row = cur.fetchone()
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conn.close()
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return row[0] + 1
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except Exception as e:
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print(f"[DB Error] Gagal mendapatkan batch_number: {e}")
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return 1
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@app.route("/api/batch/start", methods=["POST"])
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def api_batch_start():
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try:
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# Check if already active
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if os.path.exists(CURRENT_BATCH_PATH):
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try:
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with open(CURRENT_BATCH_PATH, "r") as f:
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curr = json.load(f)
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if curr and curr.get("batch_number"):
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return jsonify({
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"success": True,
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"message": "Batch already active",
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"batch_number": curr.get("batch_number"),
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"counting_date": curr.get("counting_date"),
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"start_time": curr.get("start_time")
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})
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except Exception:
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pass
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counting_date = get_counting_date()
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batch_num = get_next_batch_number(counting_date)
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now_iso = datetime.now().isoformat()
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batch_state = {
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"counting_date": counting_date,
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"batch_number": batch_num,
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"count": 0,
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"box_count": 0,
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"box_unloading": 0,
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"model_mode": _read_batch_mode_file()["model_mode"],
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"start_time": now_iso,
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"last_detection_time": now_iso,
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"manual_control": True
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}
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os.makedirs(os.path.dirname(CURRENT_BATCH_PATH), exist_ok=True)
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tmp_file = f"{CURRENT_BATCH_PATH}.tmp"
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with open(tmp_file, "w", encoding="utf-8") as f:
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json.dump(batch_state, f, indent=2)
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os.replace(tmp_file, CURRENT_BATCH_PATH)
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return jsonify({
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"success": True,
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"message": f"Batch #{batch_num} started",
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"batch_number": batch_num,
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"counting_date": counting_date,
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"start_time": now_iso
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})
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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/batch/stop", methods=["POST"])
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def api_batch_stop():
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try:
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if not os.path.exists(CURRENT_BATCH_PATH):
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return jsonify({"success": False, "error": "No active batch to stop"}), 400
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with open(CURRENT_BATCH_PATH, "r") as f:
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curr = json.load(f)
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if not curr or not curr.get("batch_number"):
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return jsonify({"success": False, "error": "No active batch data"}), 400
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counting_date = curr["counting_date"]
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batch_num = curr["batch_number"]
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final_count = curr.get("count", 0)
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box_final = curr.get("box_count", 0)
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box_unloading = curr.get("box_unloading", 0)
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model_mode = curr.get("model_mode", _read_batch_mode_file()["model_mode"])
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start_time_iso = curr.get("start_time", datetime.now().isoformat())
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end_time_iso = datetime.now().isoformat()
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if final_count > 0:
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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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INSERT OR REPLACE INTO batches
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(counting_date, batch_number, camera_name, object_label, count, start_time, end_time)
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VALUES (?, ?, ?, ?, ?, ?, ?)
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""",
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(counting_date, batch_num, CAMERA_NAME, OBJECT_LABEL, final_count, start_time_iso, end_time_iso),
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)
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try:
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cur.execute(
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"""
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UPDATE batches SET box_loading = ?, box_unloading = ?, model_mode = ?
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WHERE counting_date = ? AND batch_number = ? AND camera_name = ? AND object_label = ?
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""",
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(box_final, box_unloading, model_mode,
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counting_date, batch_num, CAMERA_NAME, OBJECT_LABEL),
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)
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except Exception:
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pass
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cur.execute(
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"""
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SELECT SUM(count), COUNT(id)
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FROM batches
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WHERE counting_date = ? AND camera_name = ? AND object_label = ?
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""",
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(counting_date, CAMERA_NAME, OBJECT_LABEL),
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)
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sum_row = cur.fetchone()
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tot_count = sum_row[0] if sum_row[0] is not None else 0
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tot_batches = sum_row[1] if sum_row[1] is not None else 0
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cur.execute(
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"""
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INSERT OR REPLACE INTO daily_summaries
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(counting_date, camera_name, object_label, total_count, total_batches, updated_at)
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VALUES (?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
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""",
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(counting_date, CAMERA_NAME, OBJECT_LABEL, tot_count, tot_batches),
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)
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conn.commit()
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conn.close()
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# Remove active batch state
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try:
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os.remove(CURRENT_BATCH_PATH)
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except Exception:
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pass
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return jsonify({
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"success": True,
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"message": f"Batch #{batch_num} stopped",
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"batch_number": batch_num,
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"final_count": final_count,
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"box_final_count": box_final,
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"start_time": start_time_iso,
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"end_time": end_time_iso
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})
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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# Model modes are DATA in config.yaml models.modes — derived here so future
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# modes (E, F, ...) appear automatically. batch_mode.json keeps ONLY the
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# manual/auto batch "mode"; model_mode lives in config.yaml now.
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MODEL_MODE_CHOICES = tuple(CFG.models.modes.keys())
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MODEL_MODE_DESCRIPTIONS = {
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m: preset.description for m, preset in CFG.models.modes.items()
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}
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def _active_model_mode() -> str:
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"""Canonical model mode: config.yaml models.active_mode (validated)."""
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try:
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return load_config(_CONFIG_PATH).models.active_mode
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except Exception:
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return CFG.models.active_mode
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def _read_batch_mode_file():
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data = {"mode": "manual", "model_mode": _active_model_mode()}
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if os.path.exists(BATCH_MODE_PATH):
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try:
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with open(BATCH_MODE_PATH, "r") as f:
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stored = json.load(f)
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data["mode"] = stored.get("mode", "manual")
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# Legacy model_mode in batch_mode.json is IGNORED (config.yaml wins).
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legacy = (stored.get("model_mode") or "").upper()
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if legacy and legacy != data["model_mode"]:
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print(f"[WARN] batch_mode.json model_mode={legacy!r} diabaikan — "
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f"config.yaml active_mode={data['model_mode']!r} yang berlaku.")
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except Exception:
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pass
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return data
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@app.route("/api/batch/mode", methods=["GET", "POST"])
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def api_batch_mode():
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if request.method == "POST":
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try:
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req_data = request.get_json(silent=True) or request.form
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stored = _read_batch_mode_file()
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if "mode" in req_data:
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mode = str(req_data.get("mode", "manual")).lower()
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if mode not in ["auto", "manual"]:
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return jsonify({"success": False, "error": "Invalid mode. Use 'auto' or 'manual'"}), 400
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stored["mode"] = mode
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if "model_mode" in req_data:
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mmode = str(req_data.get("model_mode", "")).upper()
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try:
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# Validates against config.yaml models.modes, then persists
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# atomically (tmp+replace, comments preserved). Manual
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# `karung-counter` restart still required to apply.
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set_active_mode(_CONFIG_PATH, mmode)
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except (ValueError, RuntimeError) as ve:
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return jsonify({
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"success": False,
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"error": f"Invalid model_mode. Use one of {sorted(MODEL_MODE_CHOICES)}: {ve}",
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}), 400
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stored["model_mode"] = mmode
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stored["updated_at"] = datetime.now().isoformat()
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# batch_mode.json keeps ONLY the manual/auto batch mode now.
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batch_state = {"mode": stored["mode"], "updated_at": stored["updated_at"]}
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os.makedirs(os.path.dirname(BATCH_MODE_PATH) or ".", exist_ok=True)
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tmp_path = BATCH_MODE_PATH + ".tmp"
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with open(tmp_path, "w", encoding="utf-8") as f:
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json.dump(batch_state, f, indent=2)
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os.replace(tmp_path, BATCH_MODE_PATH)
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return jsonify({"success": True, "mode": stored["mode"],
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"model_mode": stored["model_mode"],
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"message": f"Batch mode={stored['mode']}, model_mode={stored['model_mode']} "
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f"(model_mode applies on next karung-counter restart)"})
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except Exception as e:
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return jsonify({"success": False, "error": str(e)}), 500
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# GET method
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stored = _read_batch_mode_file()
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return jsonify({"success": True, "mode": stored["mode"],
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"model_mode": stored["model_mode"]})
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@app.route("/api/model-modes")
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def api_model_modes():
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stored = _read_batch_mode_file()
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|
return jsonify({
|
|
"success": True,
|
|
"active": stored["model_mode"],
|
|
"modes": [{"id": m, "description": d}
|
|
for m, d in MODEL_MODE_DESCRIPTIONS.items()],
|
|
})
|
|
|
|
|
|
@app.route("/api/current-batch")
|
|
def api_current_batch():
|
|
fps_val = 0.0
|
|
status_file = LIVE_STATUS_FILE
|
|
try:
|
|
if os.path.exists(status_file):
|
|
with open(status_file, "r") as sf:
|
|
sdata = json.load(sf)
|
|
fps_val = sdata.get("fps", 0.0)
|
|
except Exception:
|
|
pass
|
|
|
|
try:
|
|
with open(CURRENT_BATCH_PATH, "r") as f:
|
|
data = json.load(f)
|
|
stored = _read_batch_mode_file()
|
|
return jsonify(
|
|
{
|
|
"success": True,
|
|
"counting_date": data.get("counting_date"),
|
|
"batch_number": data.get("batch_number"),
|
|
"count": data.get("count", 0),
|
|
"box_count": data.get("box_count", 0),
|
|
"box_unloading": data.get("box_unloading", 0),
|
|
"model_mode": data.get("model_mode", stored["model_mode"]),
|
|
"mode": stored["mode"],
|
|
"start_time": data.get("start_time"),
|
|
"last_detection_time": data.get("last_detection_time"),
|
|
"fps": fps_val
|
|
}
|
|
)
|
|
except FileNotFoundError:
|
|
stored = _read_batch_mode_file()
|
|
return jsonify(
|
|
{
|
|
"success": False,
|
|
"error": "No active batch",
|
|
"count": 0,
|
|
"box_count": 0,
|
|
"model_mode": stored["model_mode"],
|
|
"mode": stored["mode"],
|
|
"batch_number": None,
|
|
"counting_date": None,
|
|
"fps": fps_val
|
|
}
|
|
), 200
|
|
except Exception as e:
|
|
return jsonify(
|
|
{
|
|
"success": False,
|
|
"error": str(e),
|
|
"count": 0,
|
|
"box_count": 0,
|
|
"batch_number": None,
|
|
"counting_date": None,
|
|
"fps": fps_val
|
|
}
|
|
), 500
|
|
|
|
|
|
@app.route("/api/previous-batch")
|
|
def api_previous_batch():
|
|
try:
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
f"""
|
|
SELECT counting_date, batch_number, count, start_time, end_time,
|
|
ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes,
|
|
{_batches_box_select()}
|
|
FROM batches
|
|
ORDER BY end_time DESC
|
|
LIMIT 1
|
|
"""
|
|
)
|
|
row = cur.fetchone()
|
|
conn.close()
|
|
if row:
|
|
return jsonify(
|
|
{
|
|
"success": True,
|
|
"date": row["counting_date"],
|
|
"batch_number": row["batch_number"],
|
|
"count": row["count"],
|
|
"box_loading": row["box_loading"],
|
|
"model_mode": row["model_mode"],
|
|
"start_time": row["start_time"],
|
|
"end_time": row["end_time"],
|
|
"duration_minutes": row["duration_minutes"],
|
|
}
|
|
)
|
|
return jsonify({"success": False, "error": "No previous batch"}), 200
|
|
except sqlite3.OperationalError as e:
|
|
return jsonify({"success": False, "error": f"Database unavailable: {e}"}), 200
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
|
|
@app.route("/api/summary")
|
|
def api_summary():
|
|
try:
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
today = get_counting_date()
|
|
cur.execute(
|
|
"""
|
|
SELECT COALESCE(total_count, 0) as total_count,
|
|
COALESCE(total_batches, 0) as total_batches
|
|
FROM daily_summaries
|
|
WHERE counting_date = ?
|
|
""",
|
|
(today,),
|
|
)
|
|
today_row = cur.fetchone()
|
|
yesterday = (datetime.strptime(today, "%Y-%m-%d").date() - timedelta(days=1)).isoformat()
|
|
cur.execute(
|
|
"""
|
|
SELECT COALESCE(total_count, 0) as total_count,
|
|
COALESCE(total_batches, 0) as total_batches
|
|
FROM daily_summaries
|
|
WHERE counting_date = ?
|
|
""",
|
|
(yesterday,),
|
|
)
|
|
yesterday_row = cur.fetchone()
|
|
cur.execute(
|
|
"""
|
|
SELECT COALESCE(SUM(total_count), 0) as grand_total,
|
|
COALESCE(SUM(total_batches), 0) as grand_batches,
|
|
COUNT(DISTINCT counting_date) as total_days
|
|
FROM daily_summaries
|
|
"""
|
|
)
|
|
all_time = cur.fetchone()
|
|
cur.execute("SELECT ROUND(AVG(total_count), 1) as avg_per_day FROM daily_summaries")
|
|
avg = cur.fetchone()
|
|
cur.execute(
|
|
"""
|
|
SELECT counting_date, total_count
|
|
FROM daily_summaries
|
|
ORDER BY total_count DESC
|
|
LIMIT 1
|
|
"""
|
|
)
|
|
best = cur.fetchone()
|
|
conn.close()
|
|
return jsonify(
|
|
{
|
|
"today": {
|
|
"date": today,
|
|
"total_count": today_row["total_count"] if today_row else 0,
|
|
"total_batches": today_row["total_batches"] if today_row else 0,
|
|
},
|
|
"yesterday": {
|
|
"date": yesterday,
|
|
"total_count": yesterday_row["total_count"] if yesterday_row else 0,
|
|
"total_batches": yesterday_row["total_batches"] if yesterday_row else 0,
|
|
},
|
|
"all_time": {
|
|
"grand_total": all_time["grand_total"],
|
|
"grand_batches": all_time["grand_batches"],
|
|
"total_days": all_time["total_days"],
|
|
},
|
|
"average_per_day": avg["avg_per_day"] or 0,
|
|
"best_day": {
|
|
"date": best["counting_date"] if best else None,
|
|
"count": best["total_count"] if best else 0,
|
|
},
|
|
}
|
|
)
|
|
except sqlite3.OperationalError as e:
|
|
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
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
|
|
@app.route("/api/daily-data")
|
|
def api_daily_data():
|
|
try:
|
|
days = request.args.get("days", 30, type=int)
|
|
date_from = (datetime.now() - timedelta(days=days)).date().isoformat()
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
"""
|
|
SELECT counting_date, total_count, total_batches,
|
|
ROUND(CAST(total_count AS FLOAT) / total_batches, 1) as avg_per_batch
|
|
FROM daily_summaries
|
|
WHERE counting_date >= ?
|
|
ORDER BY counting_date ASC
|
|
""",
|
|
(date_from,),
|
|
)
|
|
daily_data = [
|
|
{
|
|
"date": row["counting_date"],
|
|
"total_count": row["total_count"],
|
|
"total_batches": row["total_batches"],
|
|
"avg_per_batch": row["avg_per_batch"] or 0,
|
|
}
|
|
for row in cur.fetchall()
|
|
]
|
|
conn.close()
|
|
return jsonify(daily_data)
|
|
except sqlite3.OperationalError as e:
|
|
return jsonify([]), 200
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
|
|
@app.route("/api/day-detail/<date>")
|
|
def api_day_detail(date):
|
|
try:
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
f"""
|
|
SELECT batch_number, count, start_time, end_time,
|
|
ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes,
|
|
{_batches_box_select()}
|
|
FROM batches
|
|
WHERE counting_date = ?
|
|
ORDER BY batch_number ASC
|
|
""",
|
|
(date,),
|
|
)
|
|
batches = []
|
|
total_duration = 0
|
|
total_boxes = 0
|
|
for row in cur.fetchall():
|
|
duration = row["duration_minutes"] or 0
|
|
total_duration += duration
|
|
total_boxes += row["box_loading"] or 0
|
|
batches.append(
|
|
{
|
|
"batch_number": row["batch_number"],
|
|
"count": row["count"],
|
|
"box_loading": row["box_loading"],
|
|
"model_mode": row["model_mode"],
|
|
"start_time": row["start_time"],
|
|
"end_time": row["end_time"],
|
|
"duration_minutes": duration,
|
|
}
|
|
)
|
|
cur.execute(
|
|
"""
|
|
SELECT total_count, total_batches
|
|
FROM daily_summaries
|
|
WHERE counting_date = ?
|
|
""",
|
|
(date,),
|
|
)
|
|
summary = cur.fetchone()
|
|
conn.close()
|
|
return jsonify(
|
|
{
|
|
"date": date,
|
|
"total_count": summary["total_count"] if summary else 0,
|
|
"total_batches": summary["total_batches"] if summary else 0,
|
|
"total_boxes": total_boxes,
|
|
"total_duration_minutes": round(total_duration, 1),
|
|
"avg_duration_minutes": round(total_duration / len(batches), 1) if batches else 0,
|
|
"batches": batches,
|
|
}
|
|
)
|
|
except sqlite3.OperationalError as e:
|
|
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
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
|
|
@app.route("/api/recent-batches")
|
|
def api_recent_batches():
|
|
try:
|
|
limit = request.args.get("limit", 10, type=int)
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
f"""
|
|
SELECT counting_date, batch_number, count, start_time, end_time,
|
|
ROUND((julianday(end_time) - julianday(start_time)) * 24 * 60, 1) as duration_minutes,
|
|
{_batches_box_select()}
|
|
FROM batches
|
|
ORDER BY end_time DESC
|
|
LIMIT ?
|
|
""",
|
|
(limit,),
|
|
)
|
|
batches = [
|
|
{
|
|
"date": row["counting_date"],
|
|
"batch_number": row["batch_number"],
|
|
"count": row["count"],
|
|
"box_loading": row["box_loading"],
|
|
"model_mode": row["model_mode"],
|
|
"start_time": row["start_time"],
|
|
"end_time": row["end_time"],
|
|
"duration_minutes": row["duration_minutes"] or 0,
|
|
}
|
|
for row in cur.fetchall()
|
|
]
|
|
conn.close()
|
|
return jsonify(batches)
|
|
except sqlite3.OperationalError as e:
|
|
return jsonify([]), 200
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
|
|
@app.route("/api/available-dates")
|
|
def api_available_dates():
|
|
try:
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
"""
|
|
SELECT counting_date, total_count, total_batches
|
|
FROM daily_summaries
|
|
ORDER BY counting_date DESC
|
|
"""
|
|
)
|
|
dates = [
|
|
{
|
|
"date": row["counting_date"],
|
|
"total_count": row["total_count"],
|
|
"total_batches": row["total_batches"],
|
|
}
|
|
for row in cur.fetchall()
|
|
]
|
|
conn.close()
|
|
return jsonify(dates)
|
|
except sqlite3.OperationalError as e:
|
|
return jsonify([]), 200
|
|
except Exception as e:
|
|
return jsonify({"success": False, "error": str(e)}), 500
|
|
|
|
|
|
def _excel_response(wb, filename):
|
|
output = BytesIO()
|
|
wb.save(output)
|
|
output.seek(0)
|
|
return Response(
|
|
output.getvalue(),
|
|
mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
|
|
headers={"Content-Disposition": f"attachment; filename={filename}"},
|
|
)
|
|
|
|
|
|
def _style_header(ws, cols):
|
|
header_font = Font(bold=True, color="FFFFFF", size=11)
|
|
header_fill = PatternFill(start_color="2F5496", end_color="2F5496", fill_type="solid")
|
|
thin_border = Border(
|
|
left=Side(style="thin"), right=Side(style="thin"),
|
|
top=Side(style="thin"), bottom=Side(style="thin"),
|
|
)
|
|
for col_idx, (col_letter, text) in enumerate(cols, 1):
|
|
cell = ws.cell(row=1, column=col_idx, value=text)
|
|
cell.font = header_font
|
|
cell.fill = header_fill
|
|
cell.alignment = Alignment(horizontal="center")
|
|
cell.border = thin_border
|
|
ws.freeze_panes = "A2"
|
|
|
|
|
|
def _auto_width(ws):
|
|
for col in ws.columns:
|
|
max_len = 0
|
|
col_letter = col[0].column_letter
|
|
for cell in col:
|
|
if cell.value is not None:
|
|
max_len = max(max_len, len(str(cell.value)))
|
|
ws.column_dimensions[col_letter].width = max_len + 4
|
|
|
|
|
|
@app.route("/api/export-daily-csv")
|
|
def export_daily_xlsx():
|
|
try:
|
|
days = request.args.get("days", 30, type=int)
|
|
date_from = (datetime.now() - timedelta(days=days)).date().isoformat()
|
|
conn = get_db()
|
|
cur = conn.cursor()
|
|
cur.execute(
|
|
"""
|
|
SELECT counting_date, 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 counting_date ASC, batch_number ASC
|
|
""",
|
|
(date_from,),
|
|
)
|
|
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 = "Batch Details"
|
|
_style_header(ws, [("A", "Date"), ("B", "Batch #"), ("C", "Count"), ("D", "Start Time"), ("E", "End Time"), ("F", "Duration (min)")])
|
|
|
|
for r_idx, row in enumerate(rows, 2):
|
|
ws.cell(row=r_idx, column=1, value=row["counting_date"])
|
|
ws.cell(row=r_idx, column=2, value=row["batch_number"])
|
|
ws.cell(row=r_idx, column=3, value=row["count"])
|
|
ws.cell(row=r_idx, column=4, value=row["start_time"])
|
|
ws.cell(row=r_idx, column=5, value=row["end_time"])
|
|
ws.cell(row=r_idx, column=6, value=row["duration_minutes"] or 0)
|
|
|
|
_auto_width(ws)
|
|
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__":
|
|
import threading
|
|
from werkzeug.serving import make_server
|
|
|
|
WSGIRequestHandler.protocol_version = "HTTP/1.1"
|
|
|
|
print("=" * 60)
|
|
print(f"[*] JETSON BATCH CONTROL & DASHBOARD SERVER STARTED")
|
|
print(f"[*] Port Operator (Panel Tombol): http://{DASHBOARD_HOST}:{DASHBOARD_PORT}")
|
|
print(f"[*] Port Kantor (Monitoring AI): http://{DASHBOARD_HOST}:{OFFICE_PORT}")
|
|
print(f"[*] DB Path: {DB_PATH}")
|
|
print(f"[*] State : {CURRENT_BATCH_PATH}")
|
|
print("=" * 60)
|
|
|
|
# Server 1: Operator Port (default 5000)
|
|
server_operator = make_server(DASHBOARD_HOST, DASHBOARD_PORT, app, threaded=True)
|
|
t_op = threading.Thread(target=server_operator.serve_forever, daemon=True)
|
|
t_op.start()
|
|
|
|
# Server 2: Office Monitoring Port (default 5721)
|
|
server_office = make_server(DASHBOARD_HOST, OFFICE_PORT, app, threaded=True)
|
|
try:
|
|
server_office.serve_forever()
|
|
except KeyboardInterrupt:
|
|
print("\nStopping servers...")
|
|
server_operator.shutdown()
|
|
server_office.shutdown()
|