main.py

from flask import Flask, request, jsonify
import pandas as pd

database = pd.read_csv('test.csv', parse_dates=['Date'])
copy_columns = [col for col in database if ' , ' in col]

app = Flask(__name__)

@app.route("/")
def person():
	args = request.args
	columns = copy_columns.copy()
	data = database


	if args.get('start'):  data = data.iloc[int(args['start']):]
	if args.get('id'): data = data[data['id'] == args['id']]
	if args.get('first_name'): data = data[data['first_name'] == args['first_name']]
	if args.get('last_name'): data = data[data['last_name'] == args['last_name']]
	if args.get('gender'): data = data[data['gender'] == args['gender']]
	if args.get('email'): data = data[data['email'] == args['email']]
	if args.get('phone_number'): data = data[data['phone_number'] == args['phone_number']]
	if args.get('social_sin'): data = data[data['social_sin'] == args['social_sin']]
	#if args.get('postal_code'):  data = data.iloc[:str(args['postal_code'])]
	if args.get('limit'):  data = data.iloc[:int(args['limit'])]


	columns = ['id', 'Date', 'first_name', 'last_name', 'gender', 'email', 'phone_number', 'social_sin'] + columns
	result = data[columns].to_dict('records')


	return jsonify(
		data=result,
		next_start=int(args.get('start', 0)) + len(result)
		)

test.csv