Files

70 lines
2.5 KiB
Python

import click
import pandas as pd
from datetime import datetime
from flask.cli import with_appcontext
from salary_analytics.app.extensions import db
from salary_analytics.app.models import RawTransaction
@click.group()
def commands():
"""Management commands for the salary analytics application."""
pass
@commands.command('upload-xls')
@click.argument('xls_path')
@with_appcontext
def upload_xls_cli(xls_path):
"""Uploads data from an XLS file to the analytics_raw_transactions table.
Args:
xls_path (str): The path to the XLS file.
"""
print(f"Attempting to upload data from {xls_path}...")
try:
df = pd.read_excel(xls_path, dtype=str)
# Convert date columns to datetime
date_cols = ["ENTRY_DATE", "VALUE_DATE", "PSTD_DATE", "TRAN_DATE"]
for col in date_cols:
if col in df.columns:
df[col] = pd.to_datetime(df[col], errors='coerce')
df[col] = df[col].fillna(pd.Timestamp.now())
# Convert numeric columns
for col in ["TRAN_AMT", "BALANCE"]:
if col in df.columns:
df[col] = pd.to_numeric(df[col].str.replace(",", ""), errors='coerce')
# Truncate TRAN_PARTICULAR to 100 chars
if "TRAN_PARTICULAR" in df.columns:
df["TRAN_PARTICULAR"] = df["TRAN_PARTICULAR"].astype(str).str.slice(0, 100)
# Prepare data for insertion into the database
records = []
for index, row in df.iterrows():
record = RawTransaction(
cust_id=row.get('CUST_ID'),
accountid=row.get('ACCOUNTID'),
tran_id=row.get('TRAN_ID'),
entry_date=row.get('ENTRY_DATE'),
value_date=row.get('VALUE_DATE'),
pstd_date=row.get('PSTD_DATE'),
tran_date=row.get('TRAN_DATE'),
tran_sub_ty=row.get('TRAN_SUB_TY'),
part_tran_ty=row.get('PART_TRAN_TY'),
channel=row.get('CHANNEL'),
tran_amt=row.get('TRAN_AMT'),
balance=row.get('BALANCE'),
isreverse=row.get('ISREVERSE'),
reverse=row.get('REVERSE'),
tran_particular=(row.get('TRAN_PARTICULAR') or '')[:100]
)
records.append(record)
db.session.add_all(records)
db.session.commit()
print(f"Successfully uploaded {len(records)} records to analytics_raw_transactions")
except Exception as e:
db.session.rollback()
print(f"Error uploading data: {str(e)}")