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