Update app.py

app.py

@@ -14,90 +14,6 @@ SESSION_KEY_PREFIX = "data_tool_session_id"
 app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
 app.config['MAX_CONTENT_LENGTH'] = 512 * 1024 * 1024  # 512 MB
 
-# === Cleanup Thread: delete files older than 60 minutes ===
-def clean_old_files(folder=UPLOAD_FOLDER, max_age=60):
-    def cleanup_loop():
-        while True:
-            now = time.time()
-            for f in os.listdir(folder):
-                path = os.path.join(folder, f)
-                if os.path.isfile(path):
-                    if now - os.path.getmtime(path) > max_age * 60:
-                        try:
-                            os.remove(path)
-                            print(f"[Cleanup] Deleted: {path}")
-                        except Exception as e:
-                            print(f"[Cleanup Error] {e}")
-            time.sleep(600)  # Every 10 minutes
-
-    threading.Thread(target=cleanup_loop, daemon=True).start()
-
-# Start cleanup thread
-clean_old_files()
-
-# === Instruction Parser ===
-def apply_instruction(df, instruction):
-    instruction = instruction.lower()
-
-    try:
-        match = re.search(r"drop column (\w+)", instruction)
-        if match:
-            df = df.drop(columns=[match.group(1)])
-
-        if "remove duplicates" in instruction:
-            df = df.drop_duplicates()
-
-        if "drop missing" in instruction or "remove null" in instruction:
-            df = df.dropna()
-
-        match = re.search(r"fill missing.*with ([\w\.]+)", instruction)
-        if match:
-            val = match.group(1)
-            try: val = float(val)
-            except: pass
-            df = df.fillna(val)
-
-        match = re.search(r"sort by (\w+)( descending| desc)?", instruction)
-        if match:
-            col = match.group(1)
-            ascending = not bool(match.group(2))
-            df = df.sort_values(by=col, ascending=ascending)
-
-        match = re.search(r"rename column (\w+) to (\w+)", instruction)
-        if match:
-            df = df.rename(columns={match.group(1): match.group(2)})
-
-        match = re.search(r"filter where (\w+) > (\d+)", instruction)
-        if match:
-            df = df[df[match.group(1)] > float(match.group(2))]
-
-        match = re.search(r"group by (\w+) and sum (\w+)", instruction)
-        if match:
-            df = df.groupby(match.group(1))[match.group(2)].sum().reset_index()
-
-        match = re.search(r"add column (\w+) as (\w+) \+ (\w+)", instruction)
-        if match:
-            df[match.group(1)] = df[match.group(2)] + df[match.group(3)]
-
-        match = re.search(r"normalize column (\w+)", instruction)
-        if match:
-            col = match.group(1)
-from flask import Flask, request, jsonify, send_file
-from flask_cors import CORS
-import pandas as pd
-import os
-import threading
-import time
-import re
-
-app = Flask(__name__)
-CORS(app)
-
-UPLOAD_FOLDER = "/tmp"
-SESSION_KEY_PREFIX = "data_tool_session_id"
-app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
-app.config['MAX_CONTENT_LENGTH'] = 512 * 1024 * 1024  # 512 MB
-
 # === Root Route (Required for Hugging Face) ===
 @app.route("/", methods=["GET"])
 def root():