data for card printing

scripts/card_print_data.py

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+import pandas as pd
+import os
+import numpy as np
+import xlsxwriter
+
+curdir = os.getcwd()
+path_delim = '/'
+df1 = pd.read_excel(curdir + path_delim + "data/users_16_12_2023_18_31.xlsx", sheet_name="Sheet1")
+df2 = pd.read_excel(curdir + path_delim + "data/16Dec23-GIPCI Card Printing-2.xlsx", sheet_name="Data for Submission-GIPCI 16Dec")
+
+df = df2.merge(df1, on="_id", how="inner")
+print(df.columns)
+
+# df = df[["_id", "name_x", "abhaId", "aadharId", "Age", "gender", "category", "maritalStatus", "house", "district", "state", "pinCode", "phoneNumber", "classificationResult", "bloodGroup", "testTime", "caste", "registrationCenterName"]]
+# print(df)
+
+df["Block/Ward"] = ""
+df["Village/Town/City"] = df["city"]
+df["Test Type"] = "HPOS"
+df["Photograph"] = df['_id'].apply(lambda x: f'images\{x}.jpg') #f"external:{row['Image URL']}"
+
+df.rename(columns={'_id': "Sample ID", "ABHA ID": "ABHA Number", "careOf": "Father's Name / Husband's Name", "Test Result": "Test report"}, inplace = True)
+
+df = df.reindex(["Sample ID", "ABHA Number", "Name", "Age", "Gender", "Father's Name / Husband's Name", "District", "Block/Ward", "Village/Town/City", "Address", "Pincode", "Test report", "Test Type", "Blood Group", "bloodGroup", "Photograph"], axis=1)
+
+writer = pd.ExcelWriter(curdir + path_delim + "data/CardPrint3.xlsx", engine = 'xlsxwriter')
+df.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(df['Photograph'], start=1):
+    worksheet.write_url(row_num, df.columns.get_loc('Photograph'), string='Link', url=link, cell_format=None)
+
+writer.close()