Move LLM logic to seperate route
This commit is contained in:
149
routes/llm.py
Normal file
149
routes/llm.py
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import os
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import json
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import requests
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from flask import Blueprint, jsonify, request
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from flask_login import login_required
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llm = Blueprint('llm', __name__)
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def _generate_script_from_natural_language(natural_query):
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"""Generates a Javascript function from natural language using Gemini REST API."""
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gemni_model = os.environ.get("GEMINI_MODEL", "gemini-1.5-flash")
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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return None, "GEMINI_API_KEY environment variable not set."
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api_url = f"https://generativelanguage.googleapis.com/v1beta/models/{gemni_model}:generateContent?key={api_key}"
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headers = {'Content-Type': 'application/json'}
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try:
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prompt = f"""
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You are an expert Javascript developer. Your task is to write a complete, production-ready Javascript async function based on the user's request.
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**Function Signature:**
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Your function MUST have the following signature: `async (req, environment) => {{ ... }}`
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- `req`: An object containing details about the incoming HTTP request (e.g., `req.method`, `req.headers`, `req.body`, `req.query`).
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- `environment`: A mutable JSON object that persists across executions. You can read and write to it to maintain state.
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**Environment & Constraints:**
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- The function will be executed in a simple, sandboxed Javascript environment.
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- **CRITICAL**: ALL helper functions or variables MUST be defined *inside* the main `async` function. Do not define anything in the global scope.
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- **DO NOT** use `require()`, `import`, or any other module loading system.
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- **DO NOT** access the file system (`fs` module) or make network requests.
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- You have access to a `console.log()` function for logging.
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**Response Helpers:**
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You must use one of the following functions to return a response:
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- `HtmlResponse(body)`: Returns an HTML response.
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- `JsonResponse(body)`: Returns a JSON response.
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- `TextResponse(body)`: Returns a plain text response.
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- `RedirectResponse(url)`: Redirects the user.
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**Complex Example (Tic-Tac-Toe):**
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```javascript
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async (req, environment) => {{
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// Helper function defined INSIDE the main function
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function checkWinner(board) {{
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const winConditions = [
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[0, 1, 2], [3, 4, 5], [6, 7, 8],
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[0, 3, 6], [1, 4, 7], [2, 5, 8],
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[0, 4, 8], [2, 4, 6]
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];
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for (const condition of winConditions) {{
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const [a, b, c] = condition;
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if (board[a] && board[a] === board[b] && board[a] === board[c]) {{
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return board[a];
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}}
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}}
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return null;
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}}
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if (!environment.board) {{
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environment.board = Array(9).fill("");
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environment.turn = "X";
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environment.winner = null;
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}}
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if (req.method === "POST" && req.json && req.json.move !== undefined) {{
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const move = parseInt(req.json.move);
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if (environment.board[move] === "" && !environment.winner) {{
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environment.board[move] = environment.turn;
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environment.turn = environment.turn === "X" ? "O" : "X";
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environment.winner = checkWinner(environment.board);
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}}
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}}
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const boardHTML = environment.board.map((cell, index) => `<button hx-post="/f/${{req.path.split('/')[2]}}/${{req.path.split('/')[3]}}" hx-target="body" hx-swap="innerHTML" name="move" value="${{index}}">${{cell || ' '}}</button>`).join("");
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const message = environment.winner ? `Player ${{environment.winner}} wins!` : `Turn: ${{environment.turn}}`;
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return HtmlResponse(`
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<html>
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<head><title>Tic-Tac-Toe</title><script src="https://unpkg.com/htmx.org@1.9.9"></script></head>
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<body><h1>${{message}}</h1><div>${{boardHTML}}</div></body>
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</html>
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`);
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}}
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```
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**User's request:** "{natural_query}"
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Return ONLY the complete Javascript function code, without any explanation, comments, or surrounding text/markdown.
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"""
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payload = json.dumps({
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"contents": [{"parts": [{"text": prompt}]}]
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})
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response = requests.post(api_url, headers=headers, data=payload)
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response.raise_for_status()
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response_data = response.json()
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candidates = response_data.get('candidates', [])
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if not candidates:
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return None, "No candidates found in API response."
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content = candidates[0].get('content', {})
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parts = content.get('parts', [])
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if not parts:
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return None, "No parts found in API response content."
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generated_script = parts[0].get('text', '').strip()
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# More robustly extract from markdown
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if generated_script.startswith("```javascript"):
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generated_script = generated_script[12:]
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if generated_script.endswith("```"):
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generated_script = generated_script[:-3]
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generated_script = generated_script.strip()
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# Remove any leading non-code characters
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if not generated_script.startswith('async ('):
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async_start = generated_script.find('async (')
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if async_start != -1:
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generated_script = generated_script[async_start:]
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return generated_script.strip(), None
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except requests.exceptions.RequestException as e:
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return None, f"Error communicating with API: {e}"
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except (KeyError, IndexError, Exception) as e:
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return None, f"Error processing API response: {e}"
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@llm.route("/generate_script", methods=["POST"])
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@login_required
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def generate_script():
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try:
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natural_query = request.json.get('natural_query')
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if not natural_query:
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return jsonify({"error": "natural_query is required"}), 400
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script_content, error = _generate_script_from_natural_language(natural_query)
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if error:
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return jsonify({"error": error}), 500
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return jsonify({"script_content": script_content})
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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