add auto dac export

scripts/auto_dac_data.py

@@ -0,0 +1,60 @@
+import os
+import firebase_admin
+from firebase_admin import credentials
+from firebase_admin import firestore
+from google.cloud.firestore_v1.base_query import FieldFilter
+import pandas as pd
+from datetime import datetime
+import sys
+
+cred = credentials.Certificate(os.getcwd() + '/' + 'keys/hpos-qa-firebase-adminsdk.json')  # Replace with your own service account key path
+firebase_admin.initialize_app(cred)
+
+db = firestore.client()
+
+start_date = sys.argv[1]
+end_date = sys.argv[2] 
+
+buffers_collection = db.collection("diagnostics").where(filter=FieldFilter("runTime", ">=", start_date)).where(filter=FieldFilter("runTime", "<", end_date))
+docs = buffers_collection.stream()
+
+data = []
+for doc in docs:
+    doc_data = doc.to_dict()
+
+    data.append(doc_data)
+
+df = pd.DataFrame(data)
+print(df)
+print(df.size)
+
+pattern_device_id = r'SNS\s+([^\s]+)\s+SNE'
+
+df['deviceId'] = df['deviceData'].str.extract(pattern_device_id)
+
+pattern_led = r'LED(\d+)_DAC: (\d+)'
+
+df_extracted = df['deviceData'].str.extractall(pattern_led).unstack().droplevel(0, axis=1)
+df_extracted.columns = [f'LED{col}_DAC' for col in df_extracted.columns]
+df_extracted = df_extracted.iloc[:, -4:]
+df = pd.concat([df, df_extracted], axis=1)
+
+df = df.drop(columns=['devicePassword'], errors='ignore')
+df = df.drop(columns=['deviceNatsToken'], errors='ignore')
+df = df.drop(columns=['accessToken'], errors='ignore')
+df = df.drop(columns=['appVersionqa'], errors='ignore')
+
+df = df.drop_duplicates()
+
+output_filename = f'autodac_{datetime.today().strftime("%d_%m_%Y_%H_%M")}.xlsx'
+
+downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads")
+output_path = os.path.join(downloads_dir, output_filename)
+writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
+df.to_excel(writer, sheet_name = 'data', index=False)
+writer.close()
+
+print(f"Data saved to '{output_path}'")
+
+firebase_admin.delete_app(firebase_admin.get_app())
+