feat: Flesh out api_helper.py with command handling
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+112
-22
@@ -1,8 +1,32 @@
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import http.server
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import socketserver
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import os
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import logging
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import asyncio
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# Assuming InferenceBot is available in the same environment or can be imported
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# For demonstration, we'll use a placeholder if not explicitly provided.
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try:
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from inference_bot import InferenceBot
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except ImportError:
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logging.warning("InferenceBot not found. Using a placeholder for APIHelper.")
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class InferenceBot:
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def __init__(self):
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self.history = {}
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self.status_message = "Bot is operational."
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self.processing_status = {}
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async def start(self): return "Placeholder Bot started."
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def clear_conversation_history(self, user_id): self.history[user_id] = []
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def get_bot_status(self): return self.status_message
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async def switch_model(self): return "Placeholder model switched."
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async def handle_message(self, user_id, message):
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self.history.setdefault(user_id, []).append(f"User: {message}")
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response = f"Placeholder Bot received: {message}"
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self.history[user_id].append(f"Bot: {response}")
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return response
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async def abort_processing(self, user_id): return "Placeholder processing aborted."
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def set_processing_status(self, user_id, message_id): self.processing_status[user_id] = message_id
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def clear_processing_status(self, user_id): self.processing_status.pop(user_id, None)
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# Configure logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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@@ -11,40 +35,102 @@ COPILOT_HOST = os.getenv("COPILOT_HOST", "0.0.0.0")
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COPILOT_PORT = int(os.getenv("COPILOT_PORT", 8000))
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COPILOT_PATH = "/copilot"
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# A single user ID for API interactions, as there's no multi-user concept here
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API_USER_ID = 1
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class APIHelper:
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def __init__(self, bot: InferenceBot):
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self.bot = bot
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async def _start_logic(self) -> str:
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return await self.bot.start()
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async def _clear_logic(self, user_id: int) -> str:
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self.bot.clear_conversation_history(user_id)
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return "Conversation history cleared. Let's start fresh!"
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def _status_logic(self) -> str:
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return self.bot.get_bot_status()
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async def _switch_logic(self) -> str:
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if hasattr(self.bot, 'switch_model'):
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return await self.bot.switch_model()
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else:
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return "Model switching is not supported for this bot."
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async def _handle_message_logic(self, user_id: int, user_message: str) -> str:
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try:
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response = await self.bot.handle_message(user_id, user_message)
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return response
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except Exception as e:
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logging.error(f"Error in _handle_message_logic for user {user_id}: {str(e)}")
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return f"Error processing message: {str(e)}"
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class CopilotRequestHandler(http.server.BaseHTTPRequestHandler):
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# This will be set by the server when it's created
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api_helper_instance: APIHelper = None
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def _send_response(self, status_code: int, content: str):
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self.send_response(status_code)
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self.send_header('Content-type', 'text/plain; charset=utf-8')
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self.end_headers()
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self.wfile.write(content.encode('utf-8'))
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def do_POST(self):
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if self.path == COPILOT_PATH:
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content_length = int(self.headers['Content-Length'])
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post_data_bytes = self.rfile.read(content_length)
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post_data_str = post_data_bytes.decode('utf-8')
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user_message = post_data_bytes.decode('utf-8').strip()
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logging.info(f"Received data from {self.client_address[0]}: {post_data_str}")
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logging.info(f"Received POST from {self.client_address[0]}: {user_message}")
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# In a real scenario, you would pass post_data_str to your AI model
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# and get a response. For now, we just echo it back.
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response_text = f"Copilot received: {post_data_str}"
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response_text = ""
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# Use a fixed user ID for the API interaction
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user_id = API_USER_ID
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self.send_response(200)
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self.send_header('Content-type', 'text/plain; charset=utf-8')
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self.end_headers()
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self.wfile.write(response_text.encode('utf-8'))
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if self.api_helper_instance is None:
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logging.error("APIHelper instance not set on request handler.")
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self._send_response(500, "Internal Server Error: API Helper not initialized.")
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return
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# Simulate command handling based on message content
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if user_message.startswith('/'):
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command_parts = user_message.split(' ', 1)
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command = command_parts[0]
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if command == '/start':
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response_text = asyncio.run(self.api_helper_instance._start_logic())
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elif command == '/clear':
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response_text = asyncio.run(self.api_helper_instance._clear_logic(user_id))
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elif command == '/status':
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response_text = self.api_helper_instance._status_logic()
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elif command == '/switch':
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response_text = asyncio.run(self.api_helper_instance._switch_logic())
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else:
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self.send_response(404)
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self.end_headers()
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self.wfile.write(b"Not Found")
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# For unknown commands, treat as a regular message or an error
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response_text = asyncio.run(self.api_helper_instance._handle_message_logic(user_id, user_message))
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else:
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# Treat as a regular message
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response_text = asyncio.run(self.api_helper_instance._handle_message_logic(user_id, user_message))
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self._send_response(200, response_text)
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else:
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self._send_response(404, "Not Found")
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def do_GET(self):
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if self.path == "/health":
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self.send_response(200)
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self.send_header('Content-type', 'text/plain; charset=utf-8')
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self.end_headers()
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self.wfile.write(b"API Helper is running")
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self._send_response(200, "API Helper is running")
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else:
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self.send_response(404)
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self.end_headers()
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self.wfile.write(b"Not Found")
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self._send_response(404, "Not Found")
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def run_server(bot_instance: InferenceBot, server_class=http.server.HTTPServer, handler_class=CopilotRequestHandler, host=COPILOT_HOST, port=COPILOT_PORT):
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# Create an instance of APIHelper
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api_helper = APIHelper(bot_instance)
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# Attach the APIHelper instance to the handler class
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handler_class.api_helper_instance = api_helper
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def run_server(server_class=http.server.HTTPServer, handler_class=CopilotRequestHandler, host=COPILOT_HOST, port=COPILOT_PORT):
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server_address = (host, port)
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httpd = server_class(server_address, handler_class)
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logging.info(f"Starting Copilot API helper on http://{host}:{port}{COPILOT_PATH}")
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@@ -56,4 +142,8 @@ def run_server(server_class=http.server.HTTPServer, handler_class=CopilotRequest
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httpd.server_close()
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if __name__ == '__main__':
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run_server()
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# In a real deployment, you would pass a properly configured InferenceBot instance here.
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# For standalone execution, we instantiate the placeholder InferenceBot.
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logging.warning("Running api_helper.py in standalone mode with a placeholder InferenceBot.")
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logging.warning("Ensure a proper InferenceBot instance is passed when integrating into a larger system.")
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run_server(bot_instance=InferenceBot())
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