api/routers/langchain/test.ipynb

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     "text": [
      "\n",
      "Running simple query tests with OpenAI:\n",
      "\n",
      "Testing simple queries using openai model:\n",
      "\n",
      "Query: What is the history of Maidstone, England?\n",
      "Sending query to http://localhost:8000/api/langchain/interactive_langgraph_query/query with payload: {'query': 'What is the history of Maidstone, England?', 'model': 'openai'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:Error sending query to http://localhost:8000/api/langchain/interactive_langgraph_query/query: 500 Server Error: Internal Server Error for url: http://localhost:8000/api/langchain/interactive_langgraph_query/query\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Response:\n",
      "{\n",
      "  \"error\": \"500 Server Error: Internal Server Error for url: http://localhost:8000/api/langchain/interactive_langgraph_query/query\"\n",
      "}\n",
      "==================================================\n"
     ]
    }
   ],
   "source": [
    "from dotenv import load_dotenv, find_dotenv\n",
    "load_dotenv(find_dotenv())\n",
    "import os\n",
    "import logging\n",
    "# Function to send a query and get the response\n",
    "import requests\n",
    "import json\n",
    "\n",
    "# Define the URL of your FastAPI server\n",
    "BASE_URL = \"http://localhost:8000\"  # Adjust this if your server is running on a different port or host\n",
    "\n",
    "# Define the endpoint\n",
    "ENDPOINT = f\"{BASE_URL}/api/langchain/interactive_langgraph_query/query\"\n",
    "\n",
    "def send_query(query, model=\"ollama\"):\n",
    "    payload = {\"query\": query, \"model\": model}\n",
    "    headers = {\"Content-Type\": \"application/json\"}\n",
    "    print(f\"Sending query to {ENDPOINT} with payload: {payload}\")\n",
    "    \n",
    "    try:\n",
    "        response = requests.post(ENDPOINT, json=payload, headers=headers)\n",
    "        response.raise_for_status()\n",
    "        print(f\"Received response from {ENDPOINT}: {response.json()}\")\n",
    "        return response.json()\n",
    "    except requests.exceptions.RequestException as e:\n",
    "        logging.error(f\"Error sending query to {ENDPOINT}: {str(e)}\")\n",
    "        return {\"error\": str(e)}\n",
    "\n",
    "def test_simple_queries(model=\"openai\"):\n",
    "    queries = [\n",
    "        \"What is the history of Maidstone, England?\"\n",
    "    ]\n",
    "    \n",
    "    print(f\"Testing simple queries using {model} model:\")\n",
    "    for query in queries:\n",
    "        print(f\"\\nQuery: {query}\")\n",
    "        result = send_query(query, model)\n",
    "        print(\"Response:\")\n",
    "        print(json.dumps(result, indent=2))\n",
    "        print(\"=\" * 50)\n",
    "\n",
    "def test_followup_queries(model=\"openai\"):\n",
    "    queries = [\n",
    "        \"What is the latest local news from a particular town?\"\n",
    "    ]\n",
    "    \n",
    "    print(f\"Testing queries requiring follow-up using {model} model:\")\n",
    "    for query in queries:\n",
    "        print(f\"\\nInitial Query: {query}\")\n",
    "        result = send_query(query, model)\n",
    "        print(\"Initial Response:\")\n",
    "        print(json.dumps(result, indent=2))\n",
    "        \n",
    "        follow_up_count = 0\n",
    "        max_follow_ups = 3\n",
    "        \n",
    "        while result.get(\"needs_more_info\", False) and follow_up_count < max_follow_ups:\n",
    "            follow_up = input(\"Please provide more information: \")\n",
    "            follow_up_query = f\"{query} {follow_up}\"\n",
    "            follow_up_result = send_query(follow_up_query, model)\n",
    "            print(f\"\\nFollow-up Response {follow_up_count + 1}:\")\n",
    "            print(json.dumps(follow_up_result, indent=2))\n",
    "            \n",
    "            result = follow_up_result\n",
    "            follow_up_count += 1\n",
    "        \n",
    "        if follow_up_count == max_follow_ups:\n",
    "            print(\"\\nMaximum number of follow-ups reached. Moving to next query.\")\n",
    "        elif not result.get(\"needs_more_info\", False):\n",
    "            print(\"\\nFinal Response:\")\n",
    "            print(json.dumps(result, indent=2))\n",
    "        \n",
    "        print(\"=\" * 50)\n",
    "\n",
    "# Run the tests\n",
    "#print(\"Running simple query tests with Ollama:\\n\")\n",
    "#test_simple_queries(\"ollama\")\n",
    "\n",
    "print(\"\\nRunning simple query tests with OpenAI:\\n\")\n",
    "test_simple_queries(\"openai\")\n",
    "\n",
    "#print(\"\\nRunning follow-up query tests with Ollama:\\n\")\n",
    "#test_followup_queries(\"ollama\")\n",
    "\n",
    "#print(\"\\nRunning follow-up query tests with OpenAI:\\n\")\n",
    "#test_followup_queries(\"openai\")"
   ]
  }
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