# app.py from flask import Flask, request, render_template, jsonify, send_file from parser import parse_python_code import os import json import io import sqlite3 from database import init_db, populate_sample_db app = Flask(__name__) def reconstruct_code(parts): """Reconstruct the original code from parsed parts.""" sorted_parts = sorted(parts, key=lambda p: p['location'][0]) return ''.join(part['source'] for part in sorted_parts) def is_subsequence(subseq, seq): """Check if subseq is a subsequence of seq.""" it = iter(seq) return all(item in it for item in subseq) def query_programs(operations): """Query the database for programs matching the operations sequence.""" conn = sqlite3.connect('python_programs.db') c = conn.cursor() c.execute("SELECT id, code, sequence, vectors FROM programs") results = [] for row in c.fetchall(): program_id, code, sequence_str, vectors_str = row sequence = sequence_str.split(',') vectors = eval(vectors_str) # Convert string back to list (use JSON in production) if is_subsequence(operations, sequence): # Compute similarity (simple average vector for now) program_vector = sum(vectors, []) / len(vectors) if vectors else [0, 0, 0, 0, 0, 0] query_vector = sum([create_vector(op, 0, (1, 1), 100, []) for op in operations], []) / len(operations) if operations else [0, 0, 0, 0, 0, 0] similarity = cosine_similarity([program_vector], [query_vector])[0][0] if program_vector and query_vector else 0 results.append({'id': program_id, 'code': code, 'similarity': similarity}) conn.close() return sorted(results, key=lambda x: x['similarity'], reverse=True)[:5] # Top 5 matches from sklearn.metrics.pairwise import cosine_similarity import numpy as np def create_vector(category, level, location, total_lines, parent_path): """Helper to create a vector for query (matches parser's create_vector).""" category_map = { 'import': 1, 'function': 2, 'async_function': 3, 'class': 4, 'if': 5, 'while': 6, 'for': 7, 'try': 8, 'expression': 9, 'spacer': 10, 'other': 11, 'elif': 12, 'else': 13, 'except': 14, 'finally': 15, 'return': 16, 'assigned_variable': 17, 'input_variable': 18, 'returned_variable': 19 } category_id = category_map.get(category, 0) start_line, end_line = location span = (end_line - start_line + 1) / total_lines center_pos = ((start_line + end_line) / 2) / total_lines parent_depth = len(parent_path) parent_weight = sum(category_map.get(parent.split('[')[0].lower(), 0) * (1 / (i + 1)) for i, parent in enumerate(parent_path)) / max(1, len(category_map)) return [category_id, level, center_pos, span, parent_depth, parent_weight] @app.route('/', methods=['GET', 'POST']) def index(): if request.method == 'POST': parts = None filename = 'unnamed.py' code_input = None query_results = None # Handle file upload or pasted code (parsing) if 'file' in request.files and request.files['file'].filename: file = request.files['file'] if not file.filename.endswith('.py'): return 'Invalid file type. Please upload a Python file.', 400 filename = file.filename file_path = os.path.join('uploads', filename) file.save(file_path) with open(file_path, 'r') as f: code_input = f.read() parts, sequence = parse_python_code(code_input) # Store in database (for new files) vectors = [part['vector'] for part in parts] from database import store_program store_program(code_input, sequence, vectors) elif 'code' in request.form and request.form['code'].strip(): code_input = request.form['code'] filename = request.form.get('filename', 'unnamed.py') or 'unnamed.py' if not filename.endswith('.py'): filename += '.py' parts, sequence = parse_python_code(code_input) vectors = [part['vector'] for part in parts] from database import store_program store_program(code_input, sequence, vectors) elif 'query_ops' in request.form and request.form['query_ops'].strip(): # Handle query for operations operations = [op.strip() for op in request.form['query_ops'].split(',')] query_results = query_programs(operations) return render_template( 'results_partial.html', parts=None, filename=filename, reconstructed_code=None, code_input=None, query_results=query_results ) if parts: indexed_parts = [{'index': i + 1, **part} for i, part in enumerate(parts)] reconstructed_code = reconstruct_code(indexed_parts) return render_template( 'results_partial.html', parts=indexed_parts, filename=filename, reconstructed_code=reconstructed_code, code_input=code_input, query_results=None ) return 'No file, code, or query provided', 400 # Initial page load init_db() # Ensure database is initialized populate_sample_db() # Populate with sample data return render_template('index.html', parts=None, filename=None, reconstructed_code=None, code_input=None, query_results=None) @app.route('/export_json', methods=['POST']) def export_json(): parts = request.json.get('parts', []) export_data = [{'vector': part['vector'], 'source': part['source']} for part in parts] json_str = json.dumps(export_data, indent=2) buffer = io.BytesIO(json_str.encode('utf-8')) buffer.seek(0) return send_file( buffer, as_attachment=True, download_name='code_vectors.json', mimetype='application/json' ) if __name__ == '__main__': if not os.path.exists('uploads'): os.makedirs('uploads') app.run(port=7860)