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Runtime error
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{
"cells": [
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"from chatbot_multiagent import submitUserMessage\n",
"import random\n",
"from math import inf\n",
"\n",
"def QA_sample_test(quesion_test:list[str], num_samples:int=inf):\n",
" \n",
" # Ensure there are at least 5 lines in the list\n",
" num_samples = min(10, len(quesion_test))\n",
" sample_quesion = random.sample(quesion_test, num_samples)\n",
" \n",
" result = []\n",
" for quesion in sample_quesion:\n",
" try:\n",
" answer = submitUserMessage(quesion)\n",
" result.append({'quesion': quesion, 'answer': answer}) \n",
" except Exception as e:\n",
" result.append({'quesion': quesion, 'error': e}) \n",
" \n",
" return result "
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"with open('./testsets/user_question_testsets.txt', 'r') as file:\n",
" quesion_test = file.readlines() \n",
"\n",
"results = QA_sample_test(quesion_test, num_samples=15)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Results saved to testsets/QA.txt\n"
]
}
],
"source": [
"file_path = 'testsets/QA.txt'\n",
"\n",
"# Open the file in write mode\n",
"with open(file_path, 'w') as file:\n",
" # Iterate over each dictionary in the list\n",
" for result in results:\n",
" # Iterate over each key-value pair in the dictionary\n",
" for key, value in result.items():\n",
" # Write each key-value pair to the file\n",
" file.write(f\"{key}: \\n\\t{str(value).strip()}\\n\")\n",
" # Add a blank line between dictionaries\n",
" file.write(\"\\n\\n\")\n",
" file.write(\"-\"*200+\"\\n\")\n",
"\n",
"print(f\"Results saved to {file_path}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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