chnage pref name

scripts/allow_retest_backdated.py

@@ -17,7 +17,7 @@ db = firestore.client()
 patient_collection = db.collection("patientData")
 test_collection = db.collection("testData")
 
-query = patient_collection.where(filter=FieldFilter("createdAt", ">=", "2023-12-13")).where(filter=FieldFilter("createdAt", "<", "2023-12-14"))
+query = patient_collection.where(filter=FieldFilter("createdAt", ">=", "2023-12-27")).where(filter=FieldFilter("createdAt", "<", "2023-12-28"))
 #.where(filter=FieldFilter("registrationCenterName", "==", "SCS high school"))
 patient_docs = query.stream()
 
@@ -27,12 +27,12 @@ data = []
 for patient_doc in patient_docs:
     patient_data = patient_doc.to_dict()
     data.append(patient_data)
-    if "sar" in patient_data['_id']:
+    if "HIN" in patient_data['_id']:
         print(patient_data['_id'])
         doc_ref = db.collection("patientData").document(patient_doc.id)
 
         delete_field_name = 'incubationTime'
 
-        batch.update(doc_ref, {"_idSearch": '20231214' + patient_data['_id'], delete_field_name: firestore.DELETE_FIELD, "allowFreshTest": True, "testStatus": False})
+        batch.update(doc_ref, {"_idSearch": '20231228' + patient_data['_id'], delete_field_name: firestore.DELETE_FIELD, "allowFreshTest": True, "testStatus": False})
 
 batch.commit()

scripts/allow_retest_backdated_ids.py

@@ -19,7 +19,7 @@ test_collection = db.collection("testData")
 
 query = patient_collection.where(filter = FieldFilter("_id", "in", 
         [
-            'xyx','xyz'
+            '957539044830HEMSAN','336694457928TRUSAN','952345130951PRIKES','867067867252SAMKES','833204928565KHUKES','621177486591TANKES','644852777735SAKKES','962439786909TANKES','735707478715MANKES','200338449939SIMKES','687100580009VAIKES','285966149202RUSKES','967578334682RAKKES','921021476789PIYKES'
         ]))
 #.where(filter=FieldFilter("registrationCenterName", "==", "SCS high school"))
 patient_docs = query.stream()
@@ -35,10 +35,10 @@ for patient_doc in patient_docs:
 
     delete_field_name = 'incubationTime'
 
-    # batch.update(doc_ref, {
-    #     "_idSearch": '20231209' + patient_data['_id'], 
-    #     # delete_field_name: firestore.DELETE_FIELD, 
-    #     "allowFreshTest": True, 
-    #     "testStatus": False})
+    batch.update(doc_ref, {
+        "_idSearch": '20231221' + patient_data['_id'], 
+        delete_field_name: firestore.DELETE_FIELD, 
+        "allowFreshTest": True, 
+        "testStatus": False})
 
 batch.commit()

scripts/create_user.sh

@@ -1,5 +1,5 @@
-curl --location --request POST 'https://asia-south1-hpos-qa.cloudfunctions.net/registerUser' --header 'Content-Type: application/json' --header 'x-client: e16a1bd15af2ee640f5a7a18c8d8333f5f01f7c66e003bbc21ee52870f1bce27' --data-raw '{
-  "_id": "202311180000SMIBLR",
+curl --location --request POST 'https://asia-south1-hpos-af3cc.cloudfunctions.net/registerUser' --header 'Content-Type: application/json' --header 'x-client: e16a1bd15af2ee640f5a7a18c8d8333f5f01f7c66e003bbc21ee52870f1bce27' --data-raw '{
+  "_id": "202401030005SMIBLR",
   "aadharId": "876795956467",
   "abhaId": "12434949797979",
   "birthYear": "2000",

scripts/open_incubation.py

@@ -4,12 +4,12 @@ import os
 from google.cloud.firestore_v1.base_query import FieldFilter
 from datetime import datetime, timedelta
 
-key_path = os.getcwd() + '/keys/hpos-prod-firebase-adminsdk.json'
+key_path = os.getcwd() + '/keys/hpos-af3cc-firebase-adminsdk.json'
 cred = credentials.Certificate(key_path)
 firebase_admin.initialize_app(cred)
 def update_incubation(source_collection):
     db = firestore.client()
-    docs = db.collection(source_collection).where(filter = FieldFilter("_id", "in", ['798951069466PRABMB','450645088078SUJBHI'])).stream()
+    docs = db.collection(source_collection).where(filter = FieldFilter("_id", "in", ['202401030005SMIBLR'])).stream()
     
     for doc in docs:
         doc_id = doc.id #doc.to_dict()["_id"]

scripts/parse_retest_pdf.py

@@ -0,0 +1,68 @@
+s = """1
+276199643589NISKES
+Nisha Ramesh Karsarpe
+O+ve
+2
+652355228200CHAKES
+Chanda Thakare
+A+ve
+3
+952345130951PRIKES
+Priya Premdas Devgune
+O+ve
+4
+867067867252SAMKES
+Samiksha Dilip Apurkar
+A+ve
+5
+833204928565KHUKES
+Khushi Rajahans Pantawne
+A+ve
+6
+621177486591TANKES
+Tanuja Chandrashekhar Amgaonk
+aOr+ve
+7
+644852777735SAKKES
+Sakshi Hemraj Khadase
+AB+ve
+8
+962439786909TANKES
+Tanushree Pralad Khandarkar
+O+ve
+9
+735707478715MANKES
+Manisha Ramesh Jangale
+A+ve
+10
+200338449939SIMKES
+Simran Vijay Mahajan
+A+ve
+11
+687100580009VAIKES
+Vaishnavi Prabhakar Sontakke
+B+ve
+12
+285966149202RUSKES
+Rushi Dilip Sonkusare
+B+ve
+13
+967578334682RAKKES
+Rakesh Rajesh Patil
+A+ve
+14
+921021476789PIYKES
+Piyush Duryodhan Thakre
+B+ve
+"""
+
+ids = s.split('\n')
+# print(ids)
+
+selected_lines = [ids[i] for i in range(1, len(ids), 4)]
+
+result = ""
+
+for line in selected_lines:
+    # if 'SAN' in line:
+    print(line)

scripts/plot_led_adc.py

@@ -0,0 +1,20 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_excel("data_dev7_6.xlsx", sheet_name="removed")
+
+# print(df)
+
+print(df.describe())
+
+# Plot all lines on the same graph
+# df["led1Buffer"].plot(label="LED 1")
+# df["led2Buffer"].plot(label="LED 2")
+df["led3Buffer"].plot(label="LED 3")
+# df["led4Buffer"].plot(label="LED 4")
+
+# Add legend to the plot
+plt.legend()
+
+# Display the plot
+plt.show()

scripts/test_collection.py

@@ -30,12 +30,11 @@ df = pd.DataFrame(data)
 print(df)
 print(df.size)
 
-# 4 abs
-#df = df[["_id", "batteryLevel", "batteryVoltage", "classificationResult", "prdClassification", "predictedDenovixRatio", "calculatedRatio", "deviceRatio", "kitSerial", "abs1", "led1Average", "led1Buffer", "led1Sample", "abs2", "led2Average", "led2Buffer", "led2Sample", "abs3", "led3Average", "led3Buffer", "led3Sample", "abs4", "led4Average", "led4Buffer", "led4Sample", "deviceId", "deviceSerialNumber", "name", "testTime"]]
 
-# 2 abs
-#df = df[["_id", "finalResult", "classificationResult", "calculatedRatio", "deviceRatio", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "deviceId", "deviceSerialNumber", "name", "testTime"]]
-df = df[["_id", "classificationResult", "calculatedRatio", "deviceRatio", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "deviceId", "deviceSerialNumber", "name", "testTime"]]
+column_names = ["_id", "name", "classificationResult",  "prdClassification", "slopeRatioClass", "predictedDenovixRatio", "slopeRatio", "calculatedRatio", "deviceRatio", "kitSerial", "led1Gain1", "led1Gain2", "led1Gain4", "abs1", "led1Average", "led1Buffer", "led1Sample", "led2Gain1", "led2Gain2", "led2Gain4", "abs2", "led2Average", "led2Buffer", "led2Sample", "led3Gain1", "led3Gain2", "led3Gain4", "hb3", "abs3", "led3Average", "led3Buffer", "led3Sample", "led4Gain1", "led4Gain2", "led4Gain4", "hb4", "abs4", "led4Average", "led4Average", "led4Buffer", "led4Sample", "batteryLevel", "batteryVoltage", "deviceId", "deviceSerialNumber", "appVersion", "testTime"]
+common_columns = [col for col in column_names if col in df.columns]
+df = df[common_columns]
+
 
 print("duplicates", len(df['_id']) - len(df['_id'].drop_duplicates()))
 
@@ -63,7 +62,8 @@ 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)
-df_count.to_excel(writer, sheet_name = "count")
+df_count.to_excel(writer, sheet_name = "hc_count")
+df.groupby(["result"]).describe()["resultRatio"]["count"].to_excel(writer, sheet_name = "tr_count")
 df.groupby(["deviceId"]).describe().to_excel(writer, sheet_name = "stats")
 df.groupby(["kitSerial"]).describe()["calculatedRatio"]["count"].to_excel(writer, sheet_name = "kit_count")
 df.groupby(["kitSerial", "classificationResult"]).describe()["calculatedRatio"]["count"].to_excel(writer, sheet_name = "kit_class")