Delete rtps_daily_recorder.py
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@@ -1,458 +0,0 @@
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# rtps_daily_recorder.py
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import os
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import time
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import sys
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from datetime import datetime, timedelta
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import subprocess
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import logging
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from pathlib import Path
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try:
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from PIL import Image
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import numpy as np
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except ImportError:
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print("PIL/numpy nicht installiert. Führen Sie 'pip install Pillow numpy' aus.")
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sys.exit(1)
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# Einheitliche Konfiguration
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CONFIG = {
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"BASE_DIR": "/var/www/html/image/",
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"RESIZE_DIR": "/var/www/html/images/",
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"RTSP_URL": "rtsp://aurora:%2B61946194@192.168.1.133:88/videoMain",
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"LOG_FILE": "/var/www/html/rtsp-recorder.log",
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"HOURS_TO_RUN": 24,
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"SCREENSHOT_INTERVAL": 33,
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"VIDEO_FPS": 5,
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"VIDEO_RETENTION_DAYS": 7,
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"TARGET_WIDTH": 274,
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"TARGET_HEIGHT": 52,
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"SCREENSHOTS_PER_HOUR": 109,
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"GREY_THRESHOLD": 20, # NEU: RGB-Differenz Schwellwert für Grau-Erkennung
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}
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# Logging Setup
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S',
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handlers=[
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logging.FileHandler(CONFIG["LOG_FILE"]),
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logging.StreamHandler()
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]
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)
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class CameraService:
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def __init__(self):
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self.execution_count = 0
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self.base_dir = Path(CONFIG["BASE_DIR"])
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self.resize_dir = Path(CONFIG["RESIZE_DIR"])
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self.ensure_directories()
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def ensure_directories(self):
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"""Stelle sicher, dass alle benötigten Verzeichnisse existieren"""
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self.base_dir.mkdir(parents=True, exist_ok=True)
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self.resize_dir.mkdir(parents=True, exist_ok=True)
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logging.info(f"Arbeitsverzeichnisse bereit: {self.base_dir}, {self.resize_dir}")
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def validate_config(self):
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"""Überprüft die Konfigurationswerte"""
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if not self.base_dir.exists():
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logging.error(f"Verzeichnis nicht gefunden: {self.base_dir}")
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return False
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return True
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def check_and_create_missing_videos(self):
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"""Prüft ob Videos für die letzten 7 Tage existieren und erstellt fehlende"""
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logging.info("Prüfe auf fehlende Videos der letzten 7 Tage...")
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for days_ago in range(CONFIG["VIDEO_RETENTION_DAYS"]):
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target_date = datetime.now() - timedelta(days=days_ago)
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date_str = target_date.strftime("%Y%m%d")
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existing_videos = list(self.base_dir.glob(f"daily_video_{date_str}_*.mp4"))
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if not existing_videos:
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logging.info(f"Kein Video für {date_str} gefunden. Erstelle aus vorhandenen Screenshots...")
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self.create_video_for_date(target_date)
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else:
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logging.info(f"Video für {date_str} bereits vorhanden: {existing_videos[0].name}")
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def is_grey_image(self, image_path, max_rgb_diff=None):
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"""
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VERBESSERTE Grau-Erkennung mit RGB-Differenz-Methode
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Funktioniert auch bei sehr dunklen Bildern!
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Prüft ob R ≈ G ≈ B für alle Pixel (bei Grau sind RGB-Werte identisch)
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"""
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if max_rgb_diff is None:
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max_rgb_diff = CONFIG["GREY_THRESHOLD"]
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try:
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img = Image.open(image_path)
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# Direkter Graustufen-Modus
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if img.mode == 'L':
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logging.info(f"✓ Graubild (L-Modus): {image_path.name}")
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return True
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# RGB Bild analysieren mit NumPy
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if img.mode in ('RGB', 'RGBA'):
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img_rgb = img.convert('RGB')
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# Resize für Performance (behält Genauigkeit)
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img_rgb.thumbnail((300, 300), Image.Resampling.LANCZOS)
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# NumPy Array - vektorisierte Berechnung
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img_array = np.array(img_rgb, dtype=np.float32)
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r = img_array[:, :, 0]
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g = img_array[:, :, 1]
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b = img_array[:, :, 2]
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# Berechne maximale Differenz zwischen R, G, B für jeden Pixel
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diff_rg = np.abs(r - g)
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diff_gb = np.abs(g - b)
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diff_rb = np.abs(r - b)
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max_diff_per_pixel = np.maximum(np.maximum(diff_rg, diff_gb), diff_rb)
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# Statistiken
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mean_diff = np.mean(max_diff_per_pixel)
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p95_diff = np.percentile(max_diff_per_pixel, 95)
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# ENTSCHEIDUNG: Grau wenn 95% der Pixel RGB-Differenz < Schwellwert haben
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ist_grau = p95_diff < max_rgb_diff
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if ist_grau:
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logging.info(f"✓ Graubild (P95={p95_diff:.1f}, Mean={mean_diff:.1f}): {image_path.name}")
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else:
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logging.debug(f"✗ Farbig (P95={p95_diff:.1f}, Mean={mean_diff:.1f}): {image_path.name}")
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return ist_grau
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except Exception as e:
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logging.error(f"Fehler bei Graubildprüfung {image_path.name}: {e}")
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return False
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return False
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def create_video_for_date(self, target_date):
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"""Erstellt ein Video für ein spezifisches Datum aus vorhandenen Screenshots"""
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date_str = target_date.strftime("%Y%m%d")
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jpg_files = []
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for jpg in sorted(self.base_dir.glob(f"screenshot_{date_str}_*.jpg")):
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# Filtere auch hier graue Bilder aus
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if not self.is_grey_image(jpg):
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jpg_files.append(jpg)
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if len(jpg_files) < 10:
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logging.warning(f"Zu wenige Screenshots für {date_str} ({len(jpg_files)} gefunden)")
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return False
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timestamp = target_date.strftime("%Y%m%d_%H%M%S")
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output_file = self.base_dir / f"daily_video_{timestamp}.mp4"
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temp_list = Path(f"/tmp/files_{timestamp}.txt")
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try:
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with temp_list.open('w') as f:
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for jpg in jpg_files:
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f.write(f"file '{jpg.absolute()}'\n")
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f.write(f"duration 0.2\n")
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cmd = [
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'ffmpeg', '-y',
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'-f', 'concat',
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'-safe', '0',
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'-i', str(temp_list),
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'-vsync', 'vfr',
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'-c:v', 'libx264',
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'-pix_fmt', 'yuv420p',
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'-preset', 'fast',
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'-crf', '23',
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str(output_file)
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]
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subprocess.run(cmd, check=True, capture_output=True)
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if output_file.exists() and output_file.stat().st_size > 0:
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logging.info(f"Nachträglich Video erstellt für {date_str}: {output_file}")
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return True
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except Exception as e:
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logging.error(f"Fehler beim Erstellen des Videos für {date_str}: {e}")
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return False
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finally:
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if temp_list.exists():
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temp_list.unlink()
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def resize_image(self, image_path):
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"""Passt die Bildgröße an die Zielgröße an und behält das Seitenverhältnis bei"""
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try:
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with Image.open(image_path) as img:
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current_width, current_height = img.size
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target_width = CONFIG["TARGET_WIDTH"]
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target_height = CONFIG["TARGET_HEIGHT"]
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aspect_ratio = current_width / current_height
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target_ratio = target_width / target_height
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if current_width != target_width or current_height != target_height:
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if aspect_ratio > target_ratio:
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new_width = target_width
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new_height = int(target_width / aspect_ratio)
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else:
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new_height = target_height
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new_width = int(target_height * aspect_ratio)
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background = Image.new('RGB', (target_width, target_height), (255, 255, 255))
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resized_img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
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x = (target_width - new_width) // 2
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y = (target_height - new_height) // 2
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background.paste(resized_img, (x, y))
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background.save(image_path, "PNG", optimize=True)
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logging.info(f"Bild angepasst: {image_path}")
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return True
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return False
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except Exception as e:
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logging.error(f"Fehler bei Bildanpassung {image_path}: {e}")
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return False
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def resize_all_images(self):
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"""Passt alle PNG-Bilder im RESIZE_DIR an"""
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for png_file in Path(CONFIG["RESIZE_DIR"]).glob("*.png"):
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self.resize_image(png_file)
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def take_screenshot(self):
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"""Erstelle einen Screenshot von der RTSP-Kamera"""
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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output_file = self.base_dir / f"screenshot_{timestamp}.jpg"
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logging.info("Erstelle Screenshot...")
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try:
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cmd = [
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'ffmpeg', '-y', '-rtsp_transport', 'tcp',
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'-analyzeduration', '20M', '-probesize', '20M',
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'-i', CONFIG["RTSP_URL"], '-vframes', '1', '-q:v', '2',
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'-ss', '00:00:01', str(output_file)
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]
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process = subprocess.run(cmd, capture_output=True, text=True)
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if process.returncode != 0:
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logging.error(f"FFmpeg Fehler: {process.stderr}")
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return False
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if output_file.exists():
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logging.info(f"Screenshot erstellt: {output_file}")
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return True
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return False
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except subprocess.CalledProcessError as e:
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logging.error(f"Screenshot-Fehler: {e.stderr}")
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return False
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except Exception as e:
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logging.error(f"Unerwarteter Fehler: {e}")
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return False
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def create_daily_video(self):
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"""Erstelle ein Video aus den gesammelten Screenshots - LÖSCHE GRAUE BILDER"""
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logging.info("="*60)
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logging.info("Starte Videoerstellung mit verbessertem Graufilter...")
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logging.info("="*60)
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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output_file = self.base_dir / f"daily_video_{timestamp}.mp4"
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temp_list = Path(f"/tmp/files_{timestamp}.txt")
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cutoff_time = datetime.now() - timedelta(hours=CONFIG["HOURS_TO_RUN"])
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# Sammle ALLE JPG-Dateien
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all_jpg_files = sorted([
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f for f in self.base_dir.glob("screenshot_*.jpg")
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if f.stat().st_mtime > cutoff_time.timestamp()
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])
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logging.info(f"Gefunden: {len(all_jpg_files)} Screenshots insgesamt")
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# FILTERE und LÖSCHE graue Bilder
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jpg_files = []
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grey_files_to_delete = []
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for idx, jpg in enumerate(all_jpg_files, 1):
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if idx % 50 == 0:
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logging.info(f" Prüfe Bild {idx}/{len(all_jpg_files)}...")
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if not self.is_grey_image(jpg):
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jpg_files.append(jpg)
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else:
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grey_files_to_delete.append(jpg)
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# LÖSCHE alle grauen Bilder
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for grey_file in grey_files_to_delete:
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try:
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grey_file.unlink()
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logging.info(f"🗑️ Graues Bild gelöscht: {grey_file.name}")
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except Exception as e:
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logging.error(f"Fehler beim Löschen von {grey_file.name}: {e}")
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grey_count = len(grey_files_to_delete)
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logging.info("")
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logging.info("="*60)
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logging.info(f"FILTER-ERGEBNIS:")
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logging.info(f" Gute Bilder: {len(jpg_files)}")
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logging.info(f" Graue gelöscht: {grey_count}")
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if len(all_jpg_files) > 0:
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filter_rate = (grey_count / len(all_jpg_files)) * 100
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logging.info(f" Löschrate: {filter_rate:.1f}%")
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if filter_rate > 50:
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logging.warning("⚠️ WARNUNG: Über 50% gelöscht - Filter möglicherweise zu strikt!")
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logging.warning(f"⚠️ Erhöhe GREY_THRESHOLD in CONFIG (aktuell: {CONFIG['GREY_THRESHOLD']})")
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logging.info("="*60)
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if len(jpg_files) < 10:
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logging.warning(f"Zu wenige Bilder ({len(jpg_files)}) für Video")
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return False
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try:
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with temp_list.open('w') as f:
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for jpg in jpg_files:
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f.write(f"file '{jpg.absolute()}'\n")
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f.write(f"duration 0.2\n")
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# Erstelle Timestamp-Text (z.B. "Oktober 14:25")
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start_time = cutoff_time.strftime("%d.%m.%Y %H:%M")
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cmd = [
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'ffmpeg', '-y',
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'-f', 'concat',
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'-safe', '0',
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'-i', str(temp_list),
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'-vsync', 'vfr',
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'-vf', f"drawtext=fontfile=/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf:text='{start_time}':fontcolor=white:fontsize=24:box=1:boxcolor=black@0.7:boxborderw=5:x=10:y=h-th-10",
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'-c:v', 'libx264',
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'-pix_fmt', 'yuv420p',
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'-preset', 'fast',
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'-crf', '23',
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str(output_file)
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]
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subprocess.run(cmd, check=True, capture_output=True)
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if output_file.exists() and output_file.stat().st_size > 0:
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logging.info(f"✅ Video erstellt: {output_file}")
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# Lösche nur die GUTEN JPGs (graue wurden schon gelöscht)
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for jpg in jpg_files:
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jpg.unlink()
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logging.info(f"✅ {len(jpg_files)} gute Screenshots gelöscht nach Videoerstellung")
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return True
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except Exception as e:
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logging.error(f"Fehler bei Videoerstellung: {e}")
|
|
||||||
return False
|
|
||||||
finally:
|
|
||||||
if temp_list.exists():
|
|
||||||
temp_list.unlink()
|
|
||||||
|
|
||||||
|
|
||||||
def cleanup_old_files(self):
|
|
||||||
"""Lösche alte Video- und Bilddateien (nur älter als 7 Tage)"""
|
|
||||||
cutoff_time = datetime.now() - timedelta(days=CONFIG["VIDEO_RETENTION_DAYS"])
|
|
||||||
|
|
||||||
# Lösche verwaiste Screenshots älter als 7 Tage
|
|
||||||
for jpg in self.base_dir.glob("screenshot_*.jpg"):
|
|
||||||
if jpg.stat().st_mtime < cutoff_time.timestamp():
|
|
||||||
jpg.unlink()
|
|
||||||
logging.info(f"Verwaistes Bild gelöscht (>7 Tage): {jpg}")
|
|
||||||
|
|
||||||
def cleanup(self):
|
|
||||||
"""Aufräumen vor Beendigung"""
|
|
||||||
try:
|
|
||||||
self.cleanup_old_files()
|
|
||||||
logging.info("Aufräumen abgeschlossen")
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Fehler beim Aufräumen: {e}")
|
|
||||||
|
|
||||||
def main():
|
|
||||||
service = CameraService()
|
|
||||||
logging.info("="*60)
|
|
||||||
logging.info("Starte Kamera-Service mit verbesserter Grau-Erkennung")
|
|
||||||
logging.info(f"Grau-Schwellwert: RGB-Differenz < {CONFIG['GREY_THRESHOLD']}")
|
|
||||||
logging.info("="*60)
|
|
||||||
|
|
||||||
|
|
||||||
# Warte unbegrenzt bis grey.py fertig ist
|
|
||||||
logging.info("Starte Grau-Filterung (warte auf Abschluss)...")
|
|
||||||
returncode = subprocess.call([sys.executable, "grey.py"])
|
|
||||||
|
|
||||||
if returncode == 0:
|
|
||||||
logging.info("✓ Grau-Filterung abgeschlossen")
|
|
||||||
else:
|
|
||||||
logging.error(f"✗ Grau-Filterung fehlgeschlagen (Exit-Code: {returncode})")
|
|
||||||
|
|
||||||
|
|
||||||
retry_count = 0
|
|
||||||
max_retries = 3
|
|
||||||
|
|
||||||
try:
|
|
||||||
if not service.validate_config():
|
|
||||||
raise RuntimeError("Ungültige Konfiguration")
|
|
||||||
|
|
||||||
service.check_and_create_missing_videos()
|
|
||||||
|
|
||||||
while True:
|
|
||||||
service.execution_count = 0
|
|
||||||
total_screenshots = CONFIG["HOURS_TO_RUN"] * CONFIG["SCREENSHOTS_PER_HOUR"]
|
|
||||||
logging.info(f"Starte neuen 24-Stunden-Zyklus mit {total_screenshots} Screenshots")
|
|
||||||
|
|
||||||
service.resize_all_images()
|
|
||||||
|
|
||||||
while service.execution_count < total_screenshots:
|
|
||||||
if service.take_screenshot():
|
|
||||||
service.execution_count += 1
|
|
||||||
retry_count = 0
|
|
||||||
logging.info(f"Screenshot {service.execution_count} von {total_screenshots}")
|
|
||||||
else:
|
|
||||||
retry_count += 1
|
|
||||||
if retry_count >= max_retries:
|
|
||||||
logging.error(f"Screenshot nach {max_retries} Versuchen fehlgeschlagen")
|
|
||||||
raise RuntimeError("Zu viele fehlgeschlagene Versuche")
|
|
||||||
logging.warning(f"Screenshot fehlgeschlagen ({retry_count}/{max_retries}), warte 60 Sekunden...")
|
|
||||||
time.sleep(60)
|
|
||||||
continue
|
|
||||||
|
|
||||||
if service.execution_count % 100 == 0:
|
|
||||||
service.cleanup_old_files()
|
|
||||||
|
|
||||||
if service.execution_count < total_screenshots:
|
|
||||||
time.sleep(CONFIG["SCREENSHOT_INTERVAL"])
|
|
||||||
|
|
||||||
if service.create_daily_video():
|
|
||||||
logging.info("✓ 24-Stunden-Video erfolgreich erstellt")
|
|
||||||
else:
|
|
||||||
logging.error("✗ Fehler beim Erstellen des Tagesvideos")
|
|
||||||
|
|
||||||
service.check_and_create_missing_videos()
|
|
||||||
|
|
||||||
logging.info("Starte neuen 24-Stunden-Zyklus...")
|
|
||||||
|
|
||||||
except KeyboardInterrupt:
|
|
||||||
logging.info("Programm durch Benutzer beendet")
|
|
||||||
except Exception as e:
|
|
||||||
logging.error(f"Unerwarteter Fehler: {e}")
|
|
||||||
raise
|
|
||||||
finally:
|
|
||||||
service.cleanup()
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
if len(sys.argv) > 1 and sys.argv[1] == "video":
|
|
||||||
service = CameraService()
|
|
||||||
service.create_daily_video()
|
|
||||||
sys.exit(0)
|
|
||||||
else:
|
|
||||||
main()
|
|
||||||
Reference in New Issue
Block a user