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Author: jeffthedeveloper

PdfToCsvConversion.py

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+import pandas as pd
+import zipfile
+import pypdf2
+import os
+
+# Name of the ZIP file
+zip_filename = "DAR_ICMS_NORMAL_AND_FUNCEP_062024_173135.zip"
+
+# Open the ZIP file
+with zipfile.ZipFile(zip_filename, "r") as zip:
+    # Extract files from the ZIP file
+    zip.extractall("extracted_files")
+
+# Convert PDF files to CSV format
+def convert_pdf_to_csv(pdf_file):
+    with open(pdf_file, "rb") as pdf:
+        reader = pypdf2.PdfFileReader(pdf)
+        return reader.getPage(0).extractText().split("\n")
+
+# Names of the PDF files (generic names)
+receipt_transmission_filename = "RECEIPT_TRANSMISSION_062024.pdf"
+dar_funcep_filename = "DAR_FUNCEP_062024.pdf"
+dar_normal_filename = "DAR_ICMS_NORMAL_062024.pdf"
+
+# Full path of the extracted PDF files
+receipt_transmission_path = os.path.join("extracted_files", receipt_transmission_filename)
+dar_funcep_path = os.path.join("extracted_files", dar_funcep_filename)
+dar_normal_path = os.path.join("extracted_files", dar_normal_filename)
+
+# Open the files
+receipt_transmission_values = convert_pdf_to_csv(receipt_transmission_path)
+dar_funcep_values = convert_pdf_to_csv(dar_funcep_path)
+dar_normal_values = convert_pdf_to_csv(dar_normal_path)
+
+# Extract ICMS guide values
+receipt_transmission_values = [line.split("|")[7] for line in receipt_transmission_values]
+dar_funcep_values = [line.split("|")[5] for line in dar_funcep_values]
+dar_values = [line.split("|")[5] for line in dar_normal_values]
+
+# Compare the values of the three files
+for i in range(len(receipt_transmission_values)):
+    if receipt_transmission_values[i] != dar_funcep_values[i] or receipt_transmission_values[i] != dar_values[i]:
+        print("Error: ICMS guide values do not match.")
+        break
+
+# Write the extracted values to an existing Excel spreadsheet
+data = {'dar_funcep_value': dar_funcep_values, 'dar_icms_value': dar_values}
+df = pd.DataFrame(data)
+
+# Path to the existing Excel file
+excel_path = 'existing_excel.xlsx'
+
+# Load the existing Excel file
+existing_df = pd.read_excel(excel_path)
+
+# Merge the existing DataFrame with the new data (appending the new data)
+result_df = pd.concat([existing_df, df], ignore_index=True)
+
+# Save the merged DataFrame back to the Excel file
+result_df.to_excel(excel_path, index=False)