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ankit-rathi
Data-Science-with-Python
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Try-API.py
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from flask import Flask, jsonify, request
import sqlite3
app = Flask(__name__)
# Define your SQLite database file
DB_FILE = 'your_database.db'
# API route to select records from SQLite
@app.route('/select', methods=['POST'])
def select_records():
try:
# Connect to the SQLite database
conn = sqlite3.connect(DB_FILE)
cursor = conn.cursor()
# Extract data from the request
data = request.json
# Extract input parameters from the request JSON
table_name = data.get('table_name')
filter_conditions = data.get('filter_conditions')
# Construct the SQL query
sql_query = f"SELECT * FROM {table_name} WHERE {' AND '.join(filter_conditions)}"
# Execute the SQL query
cursor.execute(sql_query)
# Fetch selected records
records = cursor.fetchall()
# Close the cursor and connection
cursor.close()
conn.close()
# Return the selected records as JSON response
return jsonify({'records': records}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
if __name__ == '__main__':
app.run(debug=True)
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