Add health check for FastAPI server startup and improve error handling
Browse files
app.py
CHANGED
@@ -2,6 +2,8 @@ import os
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import sys
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import threading
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import time
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# Установка конфигурационной директории для Matplotlib
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os.environ['MPLCONFIGDIR'] = os.path.join(os.getcwd(), 'cache', 'matplotlib')
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@@ -10,7 +12,6 @@ os.makedirs(os.environ['MPLCONFIGDIR'], exist_ok=True)
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import gradio as gr
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import uvicorn
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import requests
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse
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@@ -22,6 +23,19 @@ if current_dir not in sys.path:
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# Import our main application
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from api.fastapi_server import app as fastapi_app
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# Run FastAPI server in a separate thread
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def run_fastapi():
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uvicorn.run(fastapi_app, host="0.0.0.0", port=8000)
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@@ -31,7 +45,9 @@ fastapi_thread = threading.Thread(target=run_fastapi, daemon=True)
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fastapi_thread.start()
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# Wait for FastAPI to start
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# Create a Gradio interface that will proxy requests to FastAPI
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def chat_with_api(message, conversation_id=None):
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@@ -66,7 +82,6 @@ def check_kb_status():
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data = response.json()
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if data["knowledge_base_exists"]:
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kb_info = data["kb_info"]
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# Добавляем проверки на None и значения по умолчанию
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version = kb_info.get('version', 'N/A')
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size = kb_info.get('size', 0)
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return f"✅ База знаний готова к работе\nВерсия: {version}\nРазмер: {size:.2f if size else 0} MB"
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@@ -143,8 +158,6 @@ with gr.Blocks(title="Status Law Assistant", theme=gr.themes.Soft()) as demo:
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""")
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if __name__ == "__main__":
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# Проверяем статус базы знаний при запуске
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initial_status = check_kb_status()
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# Launch Gradio interface
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demo.launch(
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server_name="0.0.0.0",
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import sys
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import threading
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import time
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import requests
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from requests.exceptions import ConnectionError
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# Установка конфигурационной директории для Matplotlib
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os.environ['MPLCONFIGDIR'] = os.path.join(os.getcwd(), 'cache', 'matplotlib')
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import gradio as gr
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import uvicorn
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse
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# Import our main application
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from api.fastapi_server import app as fastapi_app
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def wait_for_fastapi(timeout=30, interval=0.5):
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"""Wait for FastAPI server to start"""
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start_time = time.time()
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while time.time() - start_time < timeout:
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try:
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response = requests.get("http://127.0.0.1:8000/health")
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if response.status_code == 200:
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print("FastAPI server is ready!")
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return True
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except ConnectionError:
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time.sleep(interval)
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return False
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# Run FastAPI server in a separate thread
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def run_fastapi():
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uvicorn.run(fastapi_app, host="0.0.0.0", port=8000)
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fastapi_thread.start()
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# Wait for FastAPI to start
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if not wait_for_fastapi():
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print("Failed to start FastAPI server")
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sys.exit(1)
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# Create a Gradio interface that will proxy requests to FastAPI
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def chat_with_api(message, conversation_id=None):
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data = response.json()
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if data["knowledge_base_exists"]:
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kb_info = data["kb_info"]
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version = kb_info.get('version', 'N/A')
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size = kb_info.get('size', 0)
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return f"✅ База знаний готова к работе\nВерсия: {version}\nРазмер: {size:.2f if size else 0} MB"
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""")
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if __name__ == "__main__":
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# Launch Gradio interface
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demo.launch(
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server_name="0.0.0.0",
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