add card printing data scripts

scripts/card_print_data_3.py

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+import pandas as pd
+import os
+
+curdir = os.getcwd()
+path_delim = '/'
+df1 = pd.read_excel(curdir + path_delim + "data/users_12_01_2024_23_25.xlsx", sheet_name="Sheet1")
+df2 = pd.read_excel(curdir + path_delim + "data/12jan-printing-input.xlsx", sheet_name="Sheet1")
+
+# Define a function to find the _id for each row in df2
+def find_id(row):
+    match = df1[(df1['abhaId'] == row['abhaId'])]
+    if not match.empty:
+        return match.iloc[0]['_id']
+    else:
+        match = df1[(df1['name'] == row['name'])]
+        if not match.empty:
+            return match.iloc[0]['_id']
+        match = df1[(df1['house'] == row['address'])]
+        if not match.empty:
+            return match.iloc[0]['_id']
+        return None
+
+def find_aadharId(row):
+    match = df1[(df1['abhaId'] == row['abhaId'])]
+    if not match.empty:
+        return match.iloc[0]['aadharId']
+    else:
+        match = df1[(df1['name'] == row['name'])]
+        if not match.empty:
+            return match.iloc[0]['aadharId']
+        match = df1[(df1['house'] == row['address'])]
+        if not match.empty:
+            return match.iloc[0]['aadharId']
+        return None
+
+def find_abhaId(row):
+    match = df1[(df1['name'] == row['name'])]
+    if not match.empty:
+        return match.iloc[0]['abhaId']
+    else:
+        match = df1[(df1['house'] == row['address'])]
+        if not match.empty:
+            return match.iloc[0]['abhaId']
+        return None
+
+# Apply the function to create a new '_id' column in df2
+df2['_id'] = df2["Photograph"].get_url()
+df2['aadharId'] = df2.apply(find_aadharId, axis=1)
+df2['abhaId2'] = df2.apply(find_abhaId, axis=1)
+
+# Continue with the rest of your code...
+
+# Add the rest of your code (e.g., renaming columns, creating new columns, etc.)
+df2["Block/Ward"] = ""
+# df2["Village/Town/City"] = df2["city"]
+df2["Test Type"] = "HPOS"
+df2["Photograph"] = df2['_id'].apply(lambda x: f'images\{x}.jpg') 
+
+df2.rename(columns={'_id': "Sample ID", "name": "Name", "aadharId": "AADHAAR ID", "ABHA ID": "ABHA Number", "careOf": "Father's Name / Husband's Name", "Test Result": "Test report"}, inplace=True)
+
+# Continue with the rest of your code...
+
+# Save the resulting DataFrame to Excel
+writer = pd.ExcelWriter(curdir + path_delim + "data/CardPrint10.xlsx", engine='xlsxwriter')
+df2.to_excel(writer, sheet_name='op', index=False)
+
+# Get the xlsxwriter workbook and worksheet objects
+workbook = writer.book
+worksheet = writer.sheets['op']
+
+# Add hyperlinks to the 'Photograph' column
+for row_num, link in enumerate(df2['Photograph'], start=1):
+    worksheet.write_url(row_num, df2.columns.get_loc('Photograph'), string=link, url=link, cell_format=None)
+
+writer.close()