6f9be8a6c4
- Add ChatManager class for OpenAI-compatible API communication (silicon.fhgr.ch:7080) - Add SystemPrompter for intelligent prompt generation with file context - Integrate ChatManager into frontend chat component - Add comprehensive pytest tests (40+ tests covering unit and integration scenarios) - Implement error handling for API failures, timeouts, and connection issues - Add environment variable-based configuration for API credentials - Update frontend state initialization to include ChatManager - All tests passing with mock/patch isolation for API calls
98 lines
3.1 KiB
Python
98 lines
3.1 KiB
Python
"""Chat Manager - Handles chat history and AI communication"""
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import os
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from dotenv import load_dotenv
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import requests
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import json
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load_dotenv()
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class ChatManager:
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def __init__(self):
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self.api_host = os.getenv("HOST")
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self.api_port = os.getenv("PORT")
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self.api_key = os.getenv("API_KEY")
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self.model = os.getenv("MODEL")
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# API endpoint URL (OpenAI-compatible format)
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self.api_url = f"http://{self.api_host}:{self.api_port}/v1/chat/completions"
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# Chat history stored in memory
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self.chat_history = []
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def add_message(self, role: str, content: str) -> None:
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self.chat_history.append({"role": role, "content": content})
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def get_history(self) -> list:
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return self.chat_history
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def clear_history(self) -> None:
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self.chat_history = []
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def send_message(self, user_message: str) -> str:
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# Add user message to history
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self.add_message("user", user_message)
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try:
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# Prepare request to OpenAI-compatible API
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headers = {
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"Content-Type": "application/json",
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}
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# Add API key if available
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if self.api_key and self.api_key != "EMPTY":
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headers["Authorization"] = f"Bearer {self.api_key}"
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payload = {
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"model": self.model,
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"messages": self.chat_history,
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"temperature": 0.7,
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"max_tokens": 2000,
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"stream": False,
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}
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# Make API request
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response = requests.post(
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self.api_url, headers=headers, json=payload, timeout=30
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)
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# Check if request was successful
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if response.status_code != 200:
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error_msg = f"API Error {response.status_code}: {response.text}"
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raise Exception(error_msg)
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# Parse response
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response_data = response.json()
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# Extract AI message
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if "choices" in response_data and len(response_data["choices"]) > 0:
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ai_message = response_data["choices"][0]["message"]["content"]
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# Add AI response to history
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self.add_message("assistant", ai_message)
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return ai_message
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else:
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raise Exception("Invalid API response format")
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except requests.exceptions.RequestException as e:
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error_msg = f"Connection Error: {str(e)}"
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# Add error message to history so user sees it
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self.add_message("assistant", f"Error: {error_msg}")
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raise Exception(error_msg)
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except json.JSONDecodeError as e:
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error_msg = f"JSON Decode Error: {str(e)}"
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self.add_message("assistant", f"Error: {error_msg}")
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raise Exception(error_msg)
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except Exception as e:
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error_msg = f"Error: {str(e)}"
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self.add_message("assistant", f"Error: {error_msg}")
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raise Exception(error_msg)
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def get_chat_display(self) -> list:
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return [
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{"role": msg["role"], "content": msg["content"]}
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for msg in self.chat_history
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]
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