from AppCode.Config import DBConfig import mysql.connector import pandas as pd import io class CITHandler: def __init__(self): db = DBConfig() self.conn = db.get_db_connection() self.cursor = self.conn.cursor(dictionary=True) # GET ALL CIT RECORDS def get_all_cit(self): self.cursor.callproc("GetAllCIT") records = [] for result in self.cursor.stored_results(): records = result.fetchall() return records # GET CIT BY ID def get_cit_by_id(self, id): self.cursor.callproc("GetCITById", [id]) records = [] for result in self.cursor.stored_results(): records = result.fetchall() if records: return records[0] return None # INSERT CIT RECORD def add_cit(self, data): columns = [ "year", "gross_total_income", "deduction_80ia_business", "deduction_sec37_disallowance", "deduction_80g", "net_taxable_income", "tax_30_percent", "tax_book_profit_18_5", "tax_payable", "surcharge_12", "edu_cess_3", "total_tax_payable", "mat_credit", "interest_234c", "total_tax", "advance_tax", "tds", "tcs", "tax_on_assessment", "refund","Remarks" ] values = [data.get(col, 0) for col in columns] self.cursor.callproc("InsertCIT", values) self.conn.commit() # UPDATE CIT RECORD def update_cit(self, id, data): columns = [ "year", "gross_total_income", "deduction_80ia_business", "deduction_sec37_disallowance", "deduction_80g", "net_taxable_income", "tax_30_percent", "tax_book_profit_18_5", "tax_payable", "surcharge_12", "edu_cess_3", "total_tax_payable", "mat_credit", "interest_234c", "total_tax", "advance_tax", "tds", "tcs", "tax_on_assessment", "refund","Remarks" ] values = [id] + [data.get(col, 0) for col in columns] self.cursor.callproc("UpdateCITById", values) self.conn.commit() # DELETE CIT RECORD def delete_cit(self, id): self.cursor.callproc("DeleteCITById", [id]) self.conn.commit() # CLOSE CONNECTION def close(self): self.cursor.close() self.conn.close() def cit_report_download(self, selected_year): try: # Call stored procedure self.cursor.callproc("GetCITByYear", [selected_year]) rows = [] for result in self.cursor.stored_results(): rows = result.fetchall() if not rows: return None df = pd.DataFrame(rows) # Excel output output = io.BytesIO() with pd.ExcelWriter(output, engine="xlsxwriter") as writer: for i, (_, row) in enumerate(df.iterrows(), start=1): # Convert row to vertical format vertical_df = pd.DataFrame(row).reset_index() vertical_df.columns = ['Field', 'Value'] start_row = (i - 1) * (len(vertical_df) + 3) # gap between blocks vertical_df.to_excel( writer, sheet_name='CIT_Report', index=False, startrow=start_row ) output.seek(0) return output except mysql.connector.Error as e: print("MySQL Error:", e) return None