summary report download code commit.

AppCode/DocumentHandler.py

@@ -2,6 +2,12 @@ import os
 from AppCode.Config import DBConfig
 from AppCode.FileHandler import FileHandler
 from werkzeug.utils import secure_filename
+from flask import Flask, render_template, request, redirect, url_for, send_from_directory, abort, flash,send_file
+import mysql.connector
+import pandas as pd
+import io
+from AppCode.YearGet import YearGet
+
 
 class DocumentHandler:
 
@@ -85,15 +91,129 @@ class DocumentHandler:
                 # """, (filename, filepath, file.filename.rsplit('.', 1)[1], year, stage))
 
 
-                cursor.callproc('InsertDocument', [
-                    filename,
-                    filepath,
-                    extension,
-                    year,
-                    stage
-                ])
+                cursor.callproc('InsertDocument', [ filename, filepath, extension, year, stage ])
 
             connection.commit()
             cursor.close()
             connection.close()
         # return redirect(url_for('view_documents'))
+
+
+    # Summary report 
+    def Summary_report(self, request):
+
+        dbconfig = DBConfig()
+        connection = dbconfig.get_db_connection()
+
+        year = request.args.get('year')
+
+        #  if not year get all year in list.  
+        if not year:
+            yearGetter = YearGet()
+            allYears = yearGetter.get_year_by_model("AllYearsInAllModel")
+            yearGetter.close()
+
+            return render_template(
+                'summary_reports.html',
+                years=allYears,
+                message="Please select a year to download."
+            )
+
+        # for excel 
+        try:
+            stages = {
+                "ITR": "itr",
+                "AO": "ao",
+                "CIT": "cit",
+                "ITAT": "itat",
+            }
+            # stages = ['itr', 'ao', 'cit', 'itat']
+            stage_data = {}
+
+            for stage_name, table_name in stages.items():
+                cursor = connection.cursor(dictionary=True)
+
+                cursor.callproc("sp_get_stage_data", [table_name, year])
+
+                for result in cursor.stored_results():
+                    rows = result.fetchall()
+
+                df = pd.DataFrame(rows) if rows else pd.DataFrame()
+                stage_data[stage_name] = df
+
+                cursor.close()
+
+
+            def safe_get(df, col):
+                return df[col].values[0] if col in df.columns and not df.empty else "-"
+
+            particulars = [
+                "Gross Total Income", "Add: Disallowance u/s 14A", "Add: Disallowance u/s 37", "GTI as per",
+                "Less: Deduction u/s 80IA", "Less: Deduction u/s 80G", "Net Taxable Income", "Tax @ 30%",
+                "Tax @ 18.5% on Book Profit", "Surcharge @ 12%", "Education Cess @ 3%", "Total Tax Payable",
+                "Less: MAT Credit", "Net Tax", "Add: Interest u/s 234C", "Total Tax",
+                "Advance Tax", "TDS", "TCS", "SAT", "Tax on Regular Assessment", "Refund"
+            ]
+
+            columns = [
+                'gross_total_income', 'disallowance_14a', 'disallowance_37', 'gti',
+                'deduction_80ia', 'deduction_80g', 'net_taxable_income', 'tax_30',
+                'book_profit_tax', 'surcharge_12', 'education_cess', 'total_tax',
+                'mat_credit', 'net_tax', 'interest_234c', 'total_tax_payable',
+                'advance_tax', 'tds', 'tcs', 'sat', 'tax_regular', 'refund'
+            ]
+
+            data = {
+                "Particulars": particulars,
+                "ITR": [safe_get(stage_data['ITR'], col) for col in columns],
+                "AO": [safe_get(stage_data['AO'], col) for col in columns],
+                "CIT": [safe_get(stage_data['CIT'], col) for col in columns],
+                "ITAT": [safe_get(stage_data['ITAT'], col) for col in columns],
+            }
+
+            df = pd.DataFrame(data)
+
+            # Export to Excel
+            output = io.BytesIO()
+            with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
+                df.to_excel(writer, index=False, sheet_name=f'AY {year}')
+                workbook = writer.book
+                worksheet = writer.sheets[f'AY {year}']
+
+                header = workbook.add_format({
+                    'bold': True,
+                    'align': 'center',
+                    'valign': 'middle',
+                    'bg_color': '#007bff',
+                    'font_color': 'white',
+                    'border': 1
+                })
+
+                cell = workbook.add_format({
+                    'border': 1,
+                    'align': 'center',
+                    'valign': 'middle'
+                })
+
+                # Apply formatting
+                for col_num, col_name in enumerate(df.columns):
+                    worksheet.write(0, col_num, col_name, header)
+                    max_len = max(df[col_name].astype(str).map(len).max(), len(col_name)) + 2
+                    worksheet.set_column(col_num, col_num, max_len)
+
+                for row in range(1, len(df) + 1):
+                    for col in range(len(df.columns)):
+                        worksheet.write(row, col, df.iloc[row - 1, col], cell)
+
+            output.seek(0)
+
+            return send_file(
+                output,
+                download_name=f"Summary_Report_{year}.xlsx",
+                as_attachment=True,
+                mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+            )
+
+        finally:
+            connection.close()
+

AppCode/FileHandler.py

@@ -9,4 +9,5 @@ class FileHandler:
     def CHeckExistingOrCreateNewUploadFolder():
         #Wheteher path exists
         os.makedirs(FileHandler.UPLOAD_FOLDER, exist_ok=True)
-        return
+        return
+    

AppCode/YearGet.py

@@ -7,22 +7,33 @@ class YearGet:
         self.conn = DBConfig.get_db_connection()
         self.cursor = self.conn.cursor(dictionary=True)
 
+    # get year fetch in perticular Model name. 
     def get_year_by_model(self, proc_name):
         try:
             self.cursor.callproc(proc_name)
 
             years = []
-
             for result in self.cursor.stored_results():
                     rows = result.fetchall()
                     years = [row["year"] for row in rows]
 
+            print("-- years get --",years)
             return years
         
         except mysql.connector.Error as e:
             print("MySQL Error:", e)
             return []
 
+    # def get_all_year_in_all_model(self):
+    #     self.cursor.callproc("AllYearsInAllModel")
+    #     years = []
+    #     for result in self.cursor.stored_results():
+    #             rows = result.fetchall()
+    #             years = [row["year"] for row in rows]
+    #     return years
+        
+
+
     def close(self):
         self.cursor.close()
         self.conn.close()

main.py

@@ -850,8 +850,6 @@ def itat_report():
 #     return render_template("itr_reports.html", years=years)
 
 
-
-
 # @app.route('/ao_report', methods=['GET'])
 # def ao_report():
 #     selected_year = request.args.get('year')
@@ -972,7 +970,6 @@ def itat_report():
 #         connection.close()
 
 
-
 # @app.route('/itr_report_download', methods=['GET'])
 # def itr_report_download():
 #     connection = pymysql.connect(**db_config)
@@ -1019,108 +1016,118 @@ def download_report(doc_id):
     file_path = os.path.join('static', 'uploads', document['filename'])  # adjust as per your storage
     return send_from_directory(directory='static/uploads', path=document['filename'], as_attachment=True)
 
+ 
+# @app.route('/summary_report', methods=['GET'])
+# def summary_report():
+#     year = request.args.get('year')
+   
+#     if not year:
+#         connection = pymysql.connect(**db_config)
+#         try:
+#             years = set()
+#             for table in ['itr', 'ao', 'cit', 'itat']:
+#                 df = pd.read_sql(f"SELECT DISTINCT year FROM {table}", connection)
+#                 years.update(int(y) for y in df['year'].dropna().tolist())
+        
+#             return render_template('summary_reports.html', years=sorted(years), message="Please select a year to download.")
+           
+#         finally:
+#             connection.close()
+
+#     connection = pymysql.connect(**db_config)
+#     try:
+#         stages = ['itr', 'ao', 'cit', 'itat']
+#         stage_data = {}
+
+#         for stage in stages:
+#             query = f"SELECT * FROM {stage} WHERE year = %s"
+#             df = pd.read_sql(query, connection, params=[year])
+#             stage_data[stage.upper()] = df
+
+#         def safe_get(df, col):
+#             return df[col].values[0] if col in df.columns and not df.empty else '-'
+
+
+#         particulars = [
+#             "Gross Total Income", "Add: Disallowance u/s 14A", "Add: Disallowance u/s 37", "GTI as per",
+#             "Less: Deduction u/s 80IA", "Less: Deduction u/s 80G", "Net Taxable Income", "Tax @ 30%",
+#             "Tax @ 18.5% on Book Profit", "Surcharge @ 12%", "Education Cess @ 3%", "Total Tax Payable",
+#             "Less: MAT Credit", "Net Tax", "Add: Interest u/s 234C", "Total Tax",
+#             "Advance Tax", "TDS", "TCS", "SAT", "Tax on Regular Assessment", "Refund"
+#         ]
+
+#         columns = [
+#             'gross_total_income', 'disallowance_14a', 'disallowance_37', 'gti',
+#             'deduction_80ia', 'deduction_80g', 'net_taxable_income', 'tax_30',
+#             'book_profit_tax', 'surcharge_12', 'education_cess', 'total_tax',
+#             'mat_credit', 'net_tax', 'interest_234c', 'total_tax_payable',
+#             'advance_tax', 'tds', 'tcs', 'sat', 'tax_regular', 'refund'
+#         ]
+
+#         data = {
+#             "Particulars": particulars,
+#             "ITR": [safe_get(stage_data['ITR'], col) for col in columns],
+#             "AO": [safe_get(stage_data['AO'], col) for col in columns],
+#             "CIT(A)": [safe_get(stage_data['CIT'], col) for col in columns],
+#             "ITAT": [safe_get(stage_data['ITAT'], col) for col in columns],
+#         }
+
+#         df = pd.DataFrame(data)
+
+#         # Export to Excel with formatting
+#         output = io.BytesIO()
+#         with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
+#             df.to_excel(writer, index=False, sheet_name=f'AY {year}')
+#             workbook = writer.book
+#             worksheet = writer.sheets[f'AY {year}']
+
+#             # Format definitions
+#             header_format = workbook.add_format({
+#                 'bold': True,
+#                 'text_wrap': True,
+#                 'valign': 'middle',
+#                 'align': 'center',
+#                 'bg_color': '#007bff',
+#                 'font_color': 'white',
+#                 'border': 1
+#             })
+
+#             cell_format = workbook.add_format({
+#                 'border': 1,
+#                 'valign': 'top',
+#                 'align': 'center',
+#             })
+
+#             # Apply formats
+#             for col_num, value in enumerate(df.columns):
+#                 worksheet.write(0, col_num, value, header_format)
+#                 # Auto column width
+#                 max_len = max(df[value].astype(str).map(len).max(), len(str(value))) + 2
+#                 worksheet.set_column(col_num, col_num, max_len)
+
+#             # Format data rows
+#             for row_num in range(1, len(df) + 1):
+#                 for col_num in range(len(df.columns)):
+#                     worksheet.write(row_num, col_num, df.iloc[row_num - 1, col_num], cell_format)
+
+#         output.seek(0)
+
+#         return send_file(
+#             output,
+#             mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
+#             as_attachment=True,
+#             download_name=f"Summary_Report_{year}.xlsx"
+#         )
+
+#     finally:
+#         connection.close()
+
 
 @app.route('/summary_report', methods=['GET'])
 def summary_report():
-    year = request.args.get('year')
+    docHandler = DocumentHandler()
+    return docHandler.Summary_report(request=request)
 
-    if not year:
-        connection = pymysql.connect(**db_config)
-        try:
-            years = set()
-            for table in ['itr', 'ao', 'cit', 'itat']:
-                df = pd.read_sql(f"SELECT DISTINCT year FROM {table}", connection)
-                years.update(int(y) for y in df['year'].dropna().tolist())
-            return render_template('summary_reports.html', years=sorted(years), message="Please select a year to download.")
-        finally:
-            connection.close()
-
-    connection = pymysql.connect(**db_config)
-    try:
-        stages = ['itr', 'ao', 'cit', 'itat']
-        stage_data = {}
-
-        for stage in stages:
-            query = f"SELECT * FROM {stage} WHERE year = %s"
-            df = pd.read_sql(query, connection, params=[year])
-            stage_data[stage.upper()] = df
-
-        def safe_get(df, col):
-            return df[col].values[0] if col in df.columns and not df.empty else '-'
-
-        particulars = [
-            "Gross Total Income", "Add: Disallowance u/s 14A", "Add: Disallowance u/s 37", "GTI as per",
-            "Less: Deduction u/s 80IA", "Less: Deduction u/s 80G", "Net Taxable Income", "Tax @ 30%",
-            "Tax @ 18.5% on Book Profit", "Surcharge @ 12%", "Education Cess @ 3%", "Total Tax Payable",
-            "Less: MAT Credit", "Net Tax", "Add: Interest u/s 234C", "Total Tax",
-            "Advance Tax", "TDS", "TCS", "SAT", "Tax on Regular Assessment", "Refund"
-        ]
-
-        columns = [
-            'gross_total_income', 'disallowance_14a', 'disallowance_37', 'gti',
-            'deduction_80ia', 'deduction_80g', 'net_taxable_income', 'tax_30',
-            'book_profit_tax', 'surcharge_12', 'education_cess', 'total_tax',
-            'mat_credit', 'net_tax', 'interest_234c', 'total_tax_payable',
-            'advance_tax', 'tds', 'tcs', 'sat', 'tax_regular', 'refund'
-        ]
-
-        data = {
-            "Particulars": particulars,
-            "ITR": [safe_get(stage_data['ITR'], col) for col in columns],
-            "AO": [safe_get(stage_data['AO'], col) for col in columns],
-            "CIT(A)": [safe_get(stage_data['CIT'], col) for col in columns],
-            "ITAT": [safe_get(stage_data['ITAT'], col) for col in columns],
-        }
-
-        df = pd.DataFrame(data)
-
-        # Export to Excel with formatting
-        output = io.BytesIO()
-        with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
-            df.to_excel(writer, index=False, sheet_name=f'AY {year}')
-            workbook = writer.book
-            worksheet = writer.sheets[f'AY {year}']
-
-            # Format definitions
-            header_format = workbook.add_format({
-                'bold': True,
-                'text_wrap': True,
-                'valign': 'middle',
-                'align': 'center',
-                'bg_color': '#007bff',
-                'font_color': 'white',
-                'border': 1
-            })
-
-            cell_format = workbook.add_format({
-                'border': 1,
-                'valign': 'top',
-                'align': 'center',
-            })
-
-            # Apply formats
-            for col_num, value in enumerate(df.columns):
-                worksheet.write(0, col_num, value, header_format)
-                # Auto column width
-                max_len = max(df[value].astype(str).map(len).max(), len(str(value))) + 2
-                worksheet.set_column(col_num, col_num, max_len)
-
-            # Format data rows
-            for row_num in range(1, len(df) + 1):
-                for col_num in range(len(df.columns)):
-                    worksheet.write(row_num, col_num, df.iloc[row_num - 1, col_num], cell_format)
-
-        output.seek(0)
-
-        return send_file(
-            output,
-            mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
-            as_attachment=True,
-            download_name=f"Summary_Report_{year}.xlsx"
-        )
-
-    finally:
-        connection.close()
 
 if __name__ == '__main__':
       app.run(host='0.0.0.0', port=5003, debug=True)