summary report download code commit.
This commit is contained in:
209
main.py
209
main.py
@@ -850,8 +850,6 @@ def itat_report():
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# return render_template("itr_reports.html", years=years)
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# @app.route('/ao_report', methods=['GET'])
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# def ao_report():
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# selected_year = request.args.get('year')
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@@ -972,7 +970,6 @@ def itat_report():
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# connection.close()
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# @app.route('/itr_report_download', methods=['GET'])
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# def itr_report_download():
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# connection = pymysql.connect(**db_config)
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@@ -1019,108 +1016,118 @@ def download_report(doc_id):
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file_path = os.path.join('static', 'uploads', document['filename']) # adjust as per your storage
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return send_from_directory(directory='static/uploads', path=document['filename'], as_attachment=True)
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# @app.route('/summary_report', methods=['GET'])
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# def summary_report():
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# year = request.args.get('year')
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# if not year:
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# connection = pymysql.connect(**db_config)
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# try:
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# years = set()
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# for table in ['itr', 'ao', 'cit', 'itat']:
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# df = pd.read_sql(f"SELECT DISTINCT year FROM {table}", connection)
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# years.update(int(y) for y in df['year'].dropna().tolist())
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# return render_template('summary_reports.html', years=sorted(years), message="Please select a year to download.")
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# finally:
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# connection.close()
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# connection = pymysql.connect(**db_config)
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# try:
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# stages = ['itr', 'ao', 'cit', 'itat']
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# stage_data = {}
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# for stage in stages:
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# query = f"SELECT * FROM {stage} WHERE year = %s"
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# df = pd.read_sql(query, connection, params=[year])
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# stage_data[stage.upper()] = df
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# def safe_get(df, col):
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# return df[col].values[0] if col in df.columns and not df.empty else '-'
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# particulars = [
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# "Gross Total Income", "Add: Disallowance u/s 14A", "Add: Disallowance u/s 37", "GTI as per",
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# "Less: Deduction u/s 80IA", "Less: Deduction u/s 80G", "Net Taxable Income", "Tax @ 30%",
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# "Tax @ 18.5% on Book Profit", "Surcharge @ 12%", "Education Cess @ 3%", "Total Tax Payable",
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# "Less: MAT Credit", "Net Tax", "Add: Interest u/s 234C", "Total Tax",
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# "Advance Tax", "TDS", "TCS", "SAT", "Tax on Regular Assessment", "Refund"
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# ]
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# columns = [
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# 'gross_total_income', 'disallowance_14a', 'disallowance_37', 'gti',
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# 'deduction_80ia', 'deduction_80g', 'net_taxable_income', 'tax_30',
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# 'book_profit_tax', 'surcharge_12', 'education_cess', 'total_tax',
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# 'mat_credit', 'net_tax', 'interest_234c', 'total_tax_payable',
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# 'advance_tax', 'tds', 'tcs', 'sat', 'tax_regular', 'refund'
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# ]
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# data = {
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# "Particulars": particulars,
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# "ITR": [safe_get(stage_data['ITR'], col) for col in columns],
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# "AO": [safe_get(stage_data['AO'], col) for col in columns],
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# "CIT(A)": [safe_get(stage_data['CIT'], col) for col in columns],
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# "ITAT": [safe_get(stage_data['ITAT'], col) for col in columns],
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# }
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# df = pd.DataFrame(data)
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# # Export to Excel with formatting
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# output = io.BytesIO()
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# with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
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# df.to_excel(writer, index=False, sheet_name=f'AY {year}')
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# workbook = writer.book
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# worksheet = writer.sheets[f'AY {year}']
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# # Format definitions
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# header_format = workbook.add_format({
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# 'bold': True,
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# 'text_wrap': True,
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# 'valign': 'middle',
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# 'align': 'center',
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# 'bg_color': '#007bff',
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# 'font_color': 'white',
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# 'border': 1
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# })
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# cell_format = workbook.add_format({
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# 'border': 1,
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# 'valign': 'top',
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# 'align': 'center',
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# })
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# # Apply formats
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# for col_num, value in enumerate(df.columns):
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# worksheet.write(0, col_num, value, header_format)
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# # Auto column width
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# max_len = max(df[value].astype(str).map(len).max(), len(str(value))) + 2
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# worksheet.set_column(col_num, col_num, max_len)
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# # Format data rows
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# for row_num in range(1, len(df) + 1):
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# for col_num in range(len(df.columns)):
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# worksheet.write(row_num, col_num, df.iloc[row_num - 1, col_num], cell_format)
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# output.seek(0)
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# return send_file(
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# output,
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# mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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# as_attachment=True,
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# download_name=f"Summary_Report_{year}.xlsx"
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# )
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# finally:
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# connection.close()
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@app.route('/summary_report', methods=['GET'])
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def summary_report():
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year = request.args.get('year')
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docHandler = DocumentHandler()
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return docHandler.Summary_report(request=request)
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if not year:
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connection = pymysql.connect(**db_config)
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try:
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years = set()
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for table in ['itr', 'ao', 'cit', 'itat']:
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df = pd.read_sql(f"SELECT DISTINCT year FROM {table}", connection)
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years.update(int(y) for y in df['year'].dropna().tolist())
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return render_template('summary_reports.html', years=sorted(years), message="Please select a year to download.")
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finally:
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connection.close()
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connection = pymysql.connect(**db_config)
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try:
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stages = ['itr', 'ao', 'cit', 'itat']
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stage_data = {}
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for stage in stages:
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query = f"SELECT * FROM {stage} WHERE year = %s"
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df = pd.read_sql(query, connection, params=[year])
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stage_data[stage.upper()] = df
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def safe_get(df, col):
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return df[col].values[0] if col in df.columns and not df.empty else '-'
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particulars = [
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"Gross Total Income", "Add: Disallowance u/s 14A", "Add: Disallowance u/s 37", "GTI as per",
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"Less: Deduction u/s 80IA", "Less: Deduction u/s 80G", "Net Taxable Income", "Tax @ 30%",
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"Tax @ 18.5% on Book Profit", "Surcharge @ 12%", "Education Cess @ 3%", "Total Tax Payable",
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"Less: MAT Credit", "Net Tax", "Add: Interest u/s 234C", "Total Tax",
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"Advance Tax", "TDS", "TCS", "SAT", "Tax on Regular Assessment", "Refund"
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]
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columns = [
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'gross_total_income', 'disallowance_14a', 'disallowance_37', 'gti',
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'deduction_80ia', 'deduction_80g', 'net_taxable_income', 'tax_30',
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'book_profit_tax', 'surcharge_12', 'education_cess', 'total_tax',
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'mat_credit', 'net_tax', 'interest_234c', 'total_tax_payable',
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'advance_tax', 'tds', 'tcs', 'sat', 'tax_regular', 'refund'
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]
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data = {
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"Particulars": particulars,
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"ITR": [safe_get(stage_data['ITR'], col) for col in columns],
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"AO": [safe_get(stage_data['AO'], col) for col in columns],
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"CIT(A)": [safe_get(stage_data['CIT'], col) for col in columns],
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"ITAT": [safe_get(stage_data['ITAT'], col) for col in columns],
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}
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df = pd.DataFrame(data)
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# Export to Excel with formatting
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output = io.BytesIO()
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with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
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df.to_excel(writer, index=False, sheet_name=f'AY {year}')
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workbook = writer.book
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worksheet = writer.sheets[f'AY {year}']
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# Format definitions
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header_format = workbook.add_format({
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'bold': True,
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'text_wrap': True,
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'valign': 'middle',
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'align': 'center',
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'bg_color': '#007bff',
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'font_color': 'white',
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'border': 1
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})
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cell_format = workbook.add_format({
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'border': 1,
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'valign': 'top',
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'align': 'center',
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})
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# Apply formats
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for col_num, value in enumerate(df.columns):
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worksheet.write(0, col_num, value, header_format)
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# Auto column width
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max_len = max(df[value].astype(str).map(len).max(), len(str(value))) + 2
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worksheet.set_column(col_num, col_num, max_len)
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# Format data rows
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for row_num in range(1, len(df) + 1):
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for col_num in range(len(df.columns)):
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worksheet.write(row_num, col_num, df.iloc[row_num - 1, col_num], cell_format)
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output.seek(0)
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return send_file(
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output,
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mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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as_attachment=True,
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download_name=f"Summary_Report_{year}.xlsx"
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)
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finally:
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connection.close()
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5003, debug=True)
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