new report for jk

.env

+MONGO_CLIENT=mongodb://localhost
+MONGO_PORT=2717
+MONGO_DATABASE=admin
+MONGO_COLLECTION=eventLogs
\ No newline at end of file

create_report.py

+import pandas as pd
+from pymongo import MongoClient
+from datetime import datetime, timedelta
+import schedule
+import time
+import os
+
+# Connect to MongoDB
+client = MongoClient(os.environ["MONGO_CLIENT"])
+db = client[os.environ["MONGO_DATABASE"]]
+collection = db[os.environ["MONGO_COLLECTION"]]
+
+# Define function to get shift name
+def get_shift_name(timestamp):
+    hour = timestamp.hour
+    if 6 <= hour < 14:
+        return 'Shift A'
+    elif 14 <= hour < 22:
+        return 'Shift B'
+    else:
+        return 'Shift C'
+
+# Define function to map packer names
+def map_packer_name(camera_name):
+    packer_mapping = {
+        'camera_41': 'Packer 1',
+        'camera_42': 'Packer 2',
+        'camera_44': 'Packer 4',
+        'camera_45': 'Packer 5',
+        'camera_46': 'Packer 6',
+        'camera_47': 'Packer 7'
+    }
+    return packer_mapping.get(camera_name, 'Unknown')
+
+# Retrieve count using query
+def get_count(start_time, end_time, camera_name):
+    query = {
+        'timestamp': {'$gte': start_time, '$lte': end_time},
+        'cameraName': camera_name
+    }
+    count = collection.count_documents(query)
+    return count
+
+# Create Excel report
+def create_excel_report():
+    data = []
+    current_time = datetime.now()
+    start_time = datetime(current_time.year, current_time.month, current_time.day - 1, 6, 0, 0)
+    end_time = datetime(current_time.year, current_time.month, current_time.day, 6, 0, 0)
+    
+    for camera_name in ['camera_41', 'camera_42', 'camera_44', 'camera_45', 'camera_46', 'camera_47']:
+        shift_name = get_shift_name(start_time)
+        packer_name = map_packer_name(camera_name)
+        count = get_count(start_time, end_time, camera_name)
+        
+        data.append({
+            'Date': start_time.date(),
+            'Shift Name': shift_name,
+            'Packer Name': packer_name,
+            'Count': count
+        })
+
+    df = pd.DataFrame(data)
+    writer = pd.ExcelWriter('daily_report.xlsx', engine='openpyxl')
+    df.to_excel(writer, index=False, sheet_name='Report')
+    writer.save()
+
+# Schedule the report generation
+schedule.every().day.at('08:00').do(create_excel_report)
+
+# Run the scheduler
+while True:
+    schedule.run_pending()
+    time.sleep(1)