diff --git a/tests/data/rsp_cache.json b/tests/data/rsp_cache.json index 9e9ef2104..db452f676 100644 --- a/tests/data/rsp_cache.json +++ b/tests/data/rsp_cache.json @@ -137,5 +137,9 @@ "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to read and maintain code\nLanguage: Please use the same language as the user requirement, but the title and code should be still in English. For example, if the user speaks Chinese, the specific text of your answer should also be in Chinese.\nATTENTION: Use '##' to SPLIT SECTIONS, not '#'. Output format carefully referenced \"Format example\".\n\n# Context\n## Design\n## Project name\n```python\n\"smart_search_engine\"\n```\n\n## Task list:\n```python\n[\n \"smart_search_engine/__init__.py\",\n \"smart_search_engine/main.py\",\n \"smart_search_engine/search.py\",\n \"smart_search_engine/index.py\",\n \"smart_search_engine/ranking.py\",\n \"smart_search_engine/summary.py\",\n \"smart_search_engine/knowledge_base.py\",\n \"smart_search_engine/interface.py\",\n \"smart_search_engine/user_feedback.py\",\n \"smart_search_engine/security.py\",\n \"smart_search_engine/testing.py\",\n \"smart_search_engine/monitoring.py\"\n]\n```\n\n## Data structures and interfaces\n```mermaid\nclassDiagram\n class Main {\n -SearchEngine search_engine\n +main() str\n }\n class SearchEngine {\n -Index index\n -Ranking ranking\n -Summary summary\n +search(query: str) str\n }\n class Index {\n -KnowledgeBase knowledge_base\n +create_index(data: dict)\n +query_index(query: str) list\n }\n class Ranking {\n +rank_results(results: list) list\n }\n class Summary {\n +summarize_results(results: list) str\n }\n class KnowledgeBase {\n +update(data: dict)\n +fetch_data(query: str) dict\n }\n Main --> SearchEngine\n SearchEngine --> Index\n SearchEngine --> Ranking\n SearchEngine --> Summary\n Index --> KnowledgeBase\n```\n\n## Program call flow\n```mermaid\nsequenceDiagram\n participant M as Main\n participant SE as SearchEngine\n participant I as Index\n participant R as Ranking\n participant S as Summary\n participant KB as KnowledgeBase\n M->>SE: search(query)\n SE->>I: query_index(query)\n I->>KB: fetch_data(query)\n KB-->>I: return data\n I-->>SE: return results\n SE->>R: rank_results(results)\n R-->>SE: return ranked_results\n SE->>S: summarize_results(ranked_results)\n S-->>SE: return summary\n SE-->>M: return summary\n```\n\n\n## Tasks\n{\"Logic Analysis\": \"\\n 在这个项目中，所有的模块都依赖于“SearchEngine”类，这是主入口，其他的模块（Index、Ranking和Summary）都通过它交互。另外，\\\"Index\\\"类又依赖于\\\"KnowledgeBase\\\"类，因为它需要从知识库中获取数据。\\n\\n- \\\"main.py\\\"包含\\\"Main\\\"类，是程序的入口点，它调用\\\"SearchEngine\\\"进行搜索操作，所以在其他任何模块之前，\\\"SearchEngine\\\"必须首先被定义。\\n- \\\"search.py\\\"定义了\\\"SearchEngine\\\"类，它依赖于\\\"Index\\\"、\\\"Ranking\\\"和\\\"Summary\\\"，因此，这些模块需要在\\\"search.py\\\"之前定义。\\n- \\\"index.py\\\"定义了\\\"Index\\\"类，它从\\\"knowledge_base.py\\\"获取数据来创建索引，所以\\\"knowledge_base.py\\\"需要在\\\"index.py\\\"之前定义。\\n- \\\"ranking.py\\\"和\\\"summary.py\\\"相对独立，只需确保在\\\"search.py\\\"之前定义。\\n- \\\"knowledge_base.py\\\"是独立的模块，可以优先开发。\\n- \\\"interface.py\\\"、\\\"user_feedback.py\\\"、\\\"security.py\\\"、\\\"testing.py\\\"和\\\"monitoring.py\\\"看起来像是功能辅助模块，可以在主要功能模块开发完成后并行开发。\\n \", \"Task list\": [\"smart_search_engine/knowledge_base.py\", \"smart_search_engine/index.py\", \"smart_search_engine/ranking.py\", \"smart_search_engine/summary.py\", \"smart_search_engine/search.py\", \"smart_search_engine/main.py\", \"smart_search_engine/interface.py\", \"smart_search_engine/user_feedback.py\", \"smart_search_engine/security.py\", \"smart_search_engine/testing.py\", \"smart_search_engine/monitoring.py\"]}\n\n## Legacy Code\n```Code\n----- smart_search_engine/knowledge_base.py\n## smart_search_engine/knowledge_base.py\n\nclass KnowledgeBase:\n def __init__(self):\n self.data = {}\n\n def update(self, data: dict):\n \"\"\"\n Update the knowledge base with new data.\n\n Args:\n data (dict): The new data to be added to the knowledge base.\n \"\"\"\n self.data.update(data)\n\n def fetch_data(self, query: str) -> dict:\n \"\"\"\n Fetch data from the knowledge base based on the given query.\n\n Args:\n query (str): The query to search for in the knowledge base.\n\n Returns:\n dict: The data matching the query.\n \"\"\"\n return self.data.get(query, {})\n\n----- smart_search_engine/index.py\n## smart_search_engine/index.py\n\nfrom smart_search_engine.knowledge_base import KnowledgeBase\n\nclass Index:\n def __init__(self):\n self.knowledge_base = KnowledgeBase()\n self.index = {}\n\n def create_index(self, data: dict):\n \"\"\"\n Create an index based on the given data.\n\n Args:\n data (dict): The data to be indexed.\n \"\"\"\n self.knowledge_base.update(data)\n self.index = {}\n\n for query, _ in data.items():\n results = self.knowledge_base.fetch_data(query)\n self.index[query] = results\n\n def query_index(self, query: str) -> list:\n \"\"\"\n Query the index based on the given query.\n\n Args:\n query (str): The query to search for in the index.\n\n Returns:\n list: The results matching the query.\n \"\"\"\n if query in self.index:\n return self.index[query]\n else:\n return []\n\n----- smart_search_engine/ranking.py\n## smart_search_engine/ranking.py\n\nclass Ranking:\n def rank_results(self, results: list) -> list:\n \"\"\"\n Rank the search results based on relevance.\n\n Args:\n results (list): The search results to be ranked.\n\n Returns:\n list: The ranked search results.\n \"\"\"\n ranked_results = sorted(results, key=lambda x: x['relevance'], reverse=True)\n return ranked_results\n\n----- smart_search_engine/summary.py\n## smart_search_engine/summary.py\n\nclass Summary:\n def summarize_results(self, results: list) -> str:\n \"\"\"\n Summarize the search results into a single string.\n\n Args:\n results (list): The search results to be summarized.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n summary = \"\"\n for result in results:\n summary += result['summary'] + \"\\n\"\n return summary.strip()\n\n----- smart_search_engine/search.py\n## smart_search_engine/search.py\n\nfrom smart_search_engine.index import Index\nfrom smart_search_engine.ranking import Ranking\nfrom smart_search_engine.summary import Summary\n\nclass SearchEngine:\n def __init__(self):\n self.index = Index()\n self.ranking = Ranking()\n self.summary = Summary()\n\n def search(self, query: str) -> str:\n \"\"\"\n Perform a search based on the given query.\n\n Args:\n query (str): The query to search for.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n results = self.index.query_index(query)\n ranked_results = self.ranking.rank_results(results)\n summary = self.summary.summarize_results(ranked_results)\n return summary\n\n----- smart_search_engine/main.py\n## smart_search_engine/main.py\n\nfrom smart_search_engine.search import SearchEngine\n\nclass Main:\n def __init__(self):\n self.search_engine = SearchEngine()\n\n def main(self) -> str:\n \"\"\"\n Main function to perform a search based on user input.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n query = input(\"Enter your search query: \")\n summary = self.search_engine.search(query)\n return summary\n\nif __name__ == \"__main__\":\n main = Main()\n summary = main.main()\n print(summary)\n\n----- smart_search_engine/interface.py\n## smart_search_engine/interface.py\n\nfrom smart_search_engine.search import SearchEngine\n\nclass Interface:\n def __init__(self):\n self.search_engine = SearchEngine()\n\n def run(self):\n \"\"\"\n Run the search engine interface.\n \"\"\"\n while True:\n query = input(\"Enter your search query (or 'exit' to quit): \")\n if query == \"exit\":\n break\n summary = self.search_engine.search(query)\n print(summary)\n\nif __name__ == \"__main__\":\n interface = Interface()\n interface.run()\n\n----- smart_search_engine/user_feedback.py\n## smart_search_engine/user_feedback.py\n\nclass UserFeedback:\n def __init__(self):\n self.feedback = []\n\n def add_feedback(self, query: str, relevance: int):\n \"\"\"\n Add user feedback for a search query.\n\n Args:\n query (str): The search query.\n relevance (int): The relevance score provided by the user.\n \"\"\"\n feedback = {\n 'query': query,\n 'relevance': relevance\n }\n self.feedback.append(feedback)\n\n def get_feedback(self) -> list:\n \"\"\"\n Get the user feedback.\n\n Returns:\n list: The user feedback.\n \"\"\"\n return self.feedback\n\n```\n\n## Debug logs\n```text\n\n\n\n```\n\n## Bug Feedback logs\n```text\n\n```\n\n# Format example\n## Code: smart_search_engine/security.py\n```python\n## smart_search_engine/security.py\n...\n```\n\n# Instruction: Based on the context, follow \"Format example\", write code.\n\n## Code: smart_search_engine/security.py. Write code with triple quoto, based on the following attentions and context.\n1. Only One file: do your best to implement THIS ONLY ONE FILE.\n2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets.\n3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import.\n4. Follow design: YOU MUST FOLLOW \"Data structures and interfaces\". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design.\n5. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE.\n6. Before using a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n": "```python\n## smart_search_engine/security.py\n\nclass Security:\n def __init__(self):\n self.user_feedback = UserFeedback()\n\n def check_user_feedback(self, query: str) -> bool:\n \"\"\"\n Check if the user has provided feedback for the given query.\n\n Args:\n query (str): The search query.\n\n Returns:\n bool: True if the user has provided feedback, False otherwise.\n \"\"\"\n feedback = self.user_feedback.get_feedback()\n for item in feedback:\n if item['query'] == query:\n return True\n return False\n\n def get_user_feedback(self, query: str) -> int:\n \"\"\"\n Get the relevance score provided by the user for the given query.\n\n Args:\n query (str): The search query.\n\n Returns:\n int: The relevance score provided by the user, or None if no feedback is found.\n \"\"\"\n feedback = self.user_feedback.get_feedback()\n for item in feedback:\n if item['query'] == query:\n return item['relevance']\n return None\n\n def add_user_feedback(self, query: str, relevance: int):\n \"\"\"\n Add user feedback for the given query.\n\n Args:\n query (str): The search query.\n relevance (int): The relevance score provided by the user.\n \"\"\"\n self.user_feedback.add_feedback(query, relevance)\n```\n", "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to read and maintain code\nLanguage: Please use the same language as the user requirement, but the title and code should be still in English. For example, if the user speaks Chinese, the specific text of your answer should also be in Chinese.\nATTENTION: Use '##' to SPLIT SECTIONS, not '#'. Output format carefully referenced \"Format example\".\n\n# Context\n## Design\n## Project name\n```python\n\"smart_search_engine\"\n```\n\n## Task list:\n```python\n[\n \"smart_search_engine/__init__.py\",\n \"smart_search_engine/main.py\",\n \"smart_search_engine/search.py\",\n \"smart_search_engine/index.py\",\n \"smart_search_engine/ranking.py\",\n \"smart_search_engine/summary.py\",\n \"smart_search_engine/knowledge_base.py\",\n \"smart_search_engine/interface.py\",\n \"smart_search_engine/user_feedback.py\",\n \"smart_search_engine/security.py\",\n \"smart_search_engine/testing.py\",\n \"smart_search_engine/monitoring.py\"\n]\n```\n\n## Data structures and interfaces\n```mermaid\nclassDiagram\n class Main {\n -SearchEngine search_engine\n +main() str\n }\n class SearchEngine {\n -Index index\n -Ranking ranking\n -Summary summary\n +search(query: str) str\n }\n class Index {\n -KnowledgeBase knowledge_base\n +create_index(data: dict)\n +query_index(query: str) list\n }\n class Ranking {\n +rank_results(results: list) list\n }\n class Summary {\n +summarize_results(results: list) str\n }\n class KnowledgeBase {\n +update(data: dict)\n +fetch_data(query: str) dict\n }\n Main --> SearchEngine\n SearchEngine --> Index\n SearchEngine --> Ranking\n SearchEngine --> Summary\n Index --> KnowledgeBase\n```\n\n## Program call flow\n```mermaid\nsequenceDiagram\n participant M as Main\n participant SE as SearchEngine\n participant I as Index\n participant R as Ranking\n participant S as Summary\n participant KB as KnowledgeBase\n M->>SE: search(query)\n SE->>I: query_index(query)\n I->>KB: fetch_data(query)\n KB-->>I: return data\n I-->>SE: return results\n SE->>R: rank_results(results)\n R-->>SE: return ranked_results\n SE->>S: summarize_results(ranked_results)\n S-->>SE: return summary\n SE-->>M: return summary\n```\n\n\n## Tasks\n{\"Logic Analysis\": \"\\n 在这个项目中，所有的模块都依赖于“SearchEngine”类，这是主入口，其他的模块（Index、Ranking和Summary）都通过它交互。另外，\\\"Index\\\"类又依赖于\\\"KnowledgeBase\\\"类，因为它需要从知识库中获取数据。\\n\\n- \\\"main.py\\\"包含\\\"Main\\\"类，是程序的入口点，它调用\\\"SearchEngine\\\"进行搜索操作，所以在其他任何模块之前，\\\"SearchEngine\\\"必须首先被定义。\\n- \\\"search.py\\\"定义了\\\"SearchEngine\\\"类，它依赖于\\\"Index\\\"、\\\"Ranking\\\"和\\\"Summary\\\"，因此，这些模块需要在\\\"search.py\\\"之前定义。\\n- \\\"index.py\\\"定义了\\\"Index\\\"类，它从\\\"knowledge_base.py\\\"获取数据来创建索引，所以\\\"knowledge_base.py\\\"需要在\\\"index.py\\\"之前定义。\\n- \\\"ranking.py\\\"和\\\"summary.py\\\"相对独立，只需确保在\\\"search.py\\\"之前定义。\\n- \\\"knowledge_base.py\\\"是独立的模块，可以优先开发。\\n- \\\"interface.py\\\"、\\\"user_feedback.py\\\"、\\\"security.py\\\"、\\\"testing.py\\\"和\\\"monitoring.py\\\"看起来像是功能辅助模块，可以在主要功能模块开发完成后并行开发。\\n \", \"Task list\": [\"smart_search_engine/knowledge_base.py\", \"smart_search_engine/index.py\", \"smart_search_engine/ranking.py\", \"smart_search_engine/summary.py\", \"smart_search_engine/search.py\", \"smart_search_engine/main.py\", \"smart_search_engine/interface.py\", \"smart_search_engine/user_feedback.py\", \"smart_search_engine/security.py\", \"smart_search_engine/testing.py\", \"smart_search_engine/monitoring.py\"]}\n\n## Legacy Code\n```Code\n----- smart_search_engine/knowledge_base.py\n## smart_search_engine/knowledge_base.py\n\nclass KnowledgeBase:\n def __init__(self):\n self.data = {}\n\n def update(self, data: dict):\n \"\"\"\n Update the knowledge base with new data.\n\n Args:\n data (dict): The new data to be added to the knowledge base.\n \"\"\"\n self.data.update(data)\n\n def fetch_data(self, query: str) -> dict:\n \"\"\"\n Fetch data from the knowledge base based on the given query.\n\n Args:\n query (str): The query to search for in the knowledge base.\n\n Returns:\n dict: The data matching the query.\n \"\"\"\n return self.data.get(query, {})\n\n----- smart_search_engine/index.py\n## smart_search_engine/index.py\n\nfrom smart_search_engine.knowledge_base import KnowledgeBase\n\nclass Index:\n def __init__(self):\n self.knowledge_base = KnowledgeBase()\n self.index = {}\n\n def create_index(self, data: dict):\n \"\"\"\n Create an index based on the given data.\n\n Args:\n data (dict): The data to be indexed.\n \"\"\"\n self.knowledge_base.update(data)\n self.index = {}\n\n for query, _ in data.items():\n results = self.knowledge_base.fetch_data(query)\n self.index[query] = results\n\n def query_index(self, query: str) -> list:\n \"\"\"\n Query the index based on the given query.\n\n Args:\n query (str): The query to search for in the index.\n\n Returns:\n list: The results matching the query.\n \"\"\"\n if query in self.index:\n return self.index[query]\n else:\n return []\n\n----- smart_search_engine/ranking.py\n## smart_search_engine/ranking.py\n\nclass Ranking:\n def rank_results(self, results: list) -> list:\n \"\"\"\n Rank the search results based on relevance.\n\n Args:\n results (list): The search results to be ranked.\n\n Returns:\n list: The ranked search results.\n \"\"\"\n ranked_results = sorted(results, key=lambda x: x['relevance'], reverse=True)\n return ranked_results\n\n----- smart_search_engine/summary.py\n## smart_search_engine/summary.py\n\nclass Summary:\n def summarize_results(self, results: list) -> str:\n \"\"\"\n Summarize the search results into a single string.\n\n Args:\n results (list): The search results to be summarized.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n summary = \"\"\n for result in results:\n summary += result['summary'] + \"\\n\"\n return summary.strip()\n\n----- smart_search_engine/search.py\n## smart_search_engine/search.py\n\nfrom smart_search_engine.index import Index\nfrom smart_search_engine.ranking import Ranking\nfrom smart_search_engine.summary import Summary\n\nclass SearchEngine:\n def __init__(self):\n self.index = Index()\n self.ranking = Ranking()\n self.summary = Summary()\n\n def search(self, query: str) -> str:\n \"\"\"\n Perform a search based on the given query.\n\n Args:\n query (str): The query to search for.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n results = self.index.query_index(query)\n ranked_results = self.ranking.rank_results(results)\n summary = self.summary.summarize_results(ranked_results)\n return summary\n\n----- smart_search_engine/main.py\n## smart_search_engine/main.py\n\nfrom smart_search_engine.search import SearchEngine\n\nclass Main:\n def __init__(self):\n self.search_engine = SearchEngine()\n\n def main(self) -> str:\n \"\"\"\n Main function to perform a search based on user input.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n query = input(\"Enter your search query: \")\n summary = self.search_engine.search(query)\n return summary\n\nif __name__ == \"__main__\":\n main = Main()\n summary = main.main()\n print(summary)\n\n----- smart_search_engine/interface.py\n## smart_search_engine/interface.py\n\nfrom smart_search_engine.search import SearchEngine\n\nclass Interface:\n def __init__(self):\n self.search_engine = SearchEngine()\n\n def run(self):\n \"\"\"\n Run the search engine interface.\n \"\"\"\n while True:\n query = input(\"Enter your search query (or 'exit' to quit): \")\n if query == \"exit\":\n break\n summary = self.search_engine.search(query)\n print(summary)\n\nif __name__ == \"__main__\":\n interface = Interface()\n interface.run()\n\n----- smart_search_engine/user_feedback.py\n## smart_search_engine/user_feedback.py\n\nclass UserFeedback:\n def __init__(self):\n self.feedback = []\n\n def add_feedback(self, query: str, relevance: int):\n \"\"\"\n Add user feedback for a search query.\n\n Args:\n query (str): The search query.\n relevance (int): The relevance score provided by the user.\n \"\"\"\n feedback = {\n 'query': query,\n 'relevance': relevance\n }\n self.feedback.append(feedback)\n\n def get_feedback(self) -> list:\n \"\"\"\n Get the user feedback.\n\n Returns:\n list: The user feedback.\n \"\"\"\n return self.feedback\n\n----- smart_search_engine/security.py\n## smart_search_engine/security.py\n\nclass Security:\n def __init__(self):\n self.user_feedback = UserFeedback()\n\n def check_user_feedback(self, query: str) -> bool:\n \"\"\"\n Check if the user has provided feedback for the given query.\n\n Args:\n query (str): The search query.\n\n Returns:\n bool: True if the user has provided feedback, False otherwise.\n \"\"\"\n feedback = self.user_feedback.get_feedback()\n for item in feedback:\n if item['query'] == query:\n return True\n return False\n\n def get_user_feedback(self, query: str) -> int:\n \"\"\"\n Get the relevance score provided by the user for the given query.\n\n Args:\n query (str): The search query.\n\n Returns:\n int: The relevance score provided by the user, or None if no feedback is found.\n \"\"\"\n feedback = self.user_feedback.get_feedback()\n for item in feedback:\n if item['query'] == query:\n return item['relevance']\n return None\n\n def add_user_feedback(self, query: str, relevance: int):\n \"\"\"\n Add user feedback for the given query.\n\n Args:\n query (str): The search query.\n relevance (int): The relevance score provided by the user.\n \"\"\"\n self.user_feedback.add_feedback(query, relevance)\n\n```\n\n## Debug logs\n```text\n\n\n\n```\n\n## Bug Feedback logs\n```text\n\n```\n\n# Format example\n## Code: smart_search_engine/testing.py\n```python\n## smart_search_engine/testing.py\n...\n```\n\n# Instruction: Based on the context, follow \"Format example\", write code.\n\n## Code: smart_search_engine/testing.py. Write code with triple quoto, based on the following attentions and context.\n1. Only One file: do your best to implement THIS ONLY ONE FILE.\n2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets.\n3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import.\n4. Follow design: YOU MUST FOLLOW \"Data structures and interfaces\". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design.\n5. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE.\n6. Before using a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n": "```python\n## smart_search_engine/testing.py\n\nfrom smart_search_engine.search import SearchEngine\nfrom smart_search_engine.index import Index\nfrom smart_search_engine.ranking import Ranking\nfrom smart_search_engine.summary import Summary\nfrom smart_search_engine.knowledge_base import KnowledgeBase\n\nclass Testing:\n def __init__(self):\n self.search_engine = SearchEngine()\n self.index = Index()\n self.ranking = Ranking()\n self.summary = Summary()\n self.knowledge_base = KnowledgeBase()\n\n def test_search_engine(self):\n \"\"\"\n Test the search engine functionality.\n \"\"\"\n # Test case 1: Search for a query that exists in the index\n query1 = \"apple\"\n expected_summary1 = \"Summary of search results for query: apple\"\n self.knowledge_base.update({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n self.index.create_index({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n summary1 = self.search_engine.search(query1)\n assert summary1 == expected_summary1, f\"Test case 1 failed: {summary1}\"\n\n # Test case 2: Search for a query that does not exist in the index\n query2 = \"banana\"\n expected_summary2 = \"No results found for query: banana\"\n self.knowledge_base.update({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n self.index.create_index({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n summary2 = self.search_engine.search(query2)\n assert summary2 == expected_summary2, f\"Test case 2 failed: {summary2}\"\n\n def test_index(self):\n \"\"\"\n Test the index functionality.\n \"\"\"\n # Test case 1: Create index with valid data\n data1 = {\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}}\n expected_index1 = {\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}}\n self.knowledge_base.update(data1)\n self.index.create_index(data1)\n index1 = self.index.index\n assert index1 == expected_index1, f\"Test case 1 failed: {index1}\"\n\n # Test case 2: Query index with valid query\n query2 = \"apple\"\n expected_results2 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}]\n results2 = self.index.query_index(query2)\n assert results2 == expected_results2, f\"Test case 2 failed: {results2}\"\n\n # Test case 3: Query index with invalid query\n query3 = \"banana\"\n expected_results3 = []\n results3 = self.index.query_index(query3)\n assert results3 == expected_results3, f\"Test case 3 failed: {results3}\"\n\n def test_ranking(self):\n \"\"\"\n Test the ranking functionality.\n \"\"\"\n # Test case 1: Rank results in descending order of relevance\n results1 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n expected_ranked_results1 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n ranked_results1 = self.ranking.rank_results(results1)\n assert ranked_results1 == expected_ranked_results1, f\"Test case 1 failed: {ranked_results1}\"\n\n # Test case 2: Rank results in ascending order of relevance\n results2 = [{\"relevance\": 0.6, \"summary\": \"This is a banana.\"}, {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}]\n expected_ranked_results2 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n ranked_results2 = self.ranking.rank_results(results2)\n assert ranked_results2 == expected_ranked_results2, f\"Test case 2 failed: {ranked_results2}\"\n\n def test_summary(self):\n \"\"\"\n Test the summary functionality.\n \"\"\"\n # Test case 1: Summarize search results into a single string\n results1 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n expected_summary1 = \"This is an apple.\\nThis is a banana.\"\n summary1 = self.summary.summarize_results(results1)\n assert summary1 == expected_summary1, f\"Test case 1 failed: {summary1}\"\n\n # Test case 2: Summarize empty search results\n results2 = []\n expected_summary2 = \"\"\n summary2 = self.summary.summarize_results(results2)\n assert summary2 == expected_summary2, f\"Test case 2 failed: {summary2}\"\n\n def run_tests(self):\n \"\"\"\n Run all the tests.\n \"\"\"\n self.test_search_engine()\n self.test_index()\n self.test_ranking()\n self.test_summary()\n\nif __name__ == \"__main__\":\n testing = Testing()\n testing.run_tests()\n```\n\nIn the above code, I have implemented a `Testing` class that contains methods to test the functionality of the search engine, index, ranking, and summary modules. Each test case checks the expected output against the actual output and raises an assertion error if they do not match. The `run_tests` method runs all the test cases.", "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to read and maintain code\nLanguage: Please use the same language as the user requirement, but the title and code should be still in English. For example, if the user speaks Chinese, the specific text of your answer should also be in Chinese.\nATTENTION: Use '##' to SPLIT SECTIONS, not '#'. Output format carefully referenced \"Format example\".\n\n# Context\n## Design\n## Project name\n```python\n\"smart_search_engine\"\n```\n\n## Task list:\n```python\n[\n \"smart_search_engine/__init__.py\",\n \"smart_search_engine/main.py\",\n \"smart_search_engine/search.py\",\n \"smart_search_engine/index.py\",\n \"smart_search_engine/ranking.py\",\n \"smart_search_engine/summary.py\",\n \"smart_search_engine/knowledge_base.py\",\n \"smart_search_engine/interface.py\",\n \"smart_search_engine/user_feedback.py\",\n \"smart_search_engine/security.py\",\n \"smart_search_engine/testing.py\",\n \"smart_search_engine/monitoring.py\"\n]\n```\n\n## Data structures and interfaces\n```mermaid\nclassDiagram\n class Main {\n -SearchEngine search_engine\n +main() str\n }\n class SearchEngine {\n -Index index\n -Ranking ranking\n -Summary summary\n +search(query: str) str\n }\n class Index {\n -KnowledgeBase knowledge_base\n +create_index(data: dict)\n +query_index(query: str) list\n }\n class Ranking {\n +rank_results(results: list) list\n }\n class Summary {\n +summarize_results(results: list) str\n }\n class KnowledgeBase {\n +update(data: dict)\n +fetch_data(query: str) dict\n }\n Main --> SearchEngine\n SearchEngine --> Index\n SearchEngine --> Ranking\n SearchEngine --> Summary\n Index --> KnowledgeBase\n```\n\n## Program call flow\n```mermaid\nsequenceDiagram\n participant M as Main\n participant SE as SearchEngine\n participant I as Index\n participant R as Ranking\n participant S as Summary\n participant KB as KnowledgeBase\n M->>SE: search(query)\n SE->>I: query_index(query)\n I->>KB: fetch_data(query)\n KB-->>I: return data\n I-->>SE: return results\n SE->>R: rank_results(results)\n R-->>SE: return ranked_results\n SE->>S: summarize_results(ranked_results)\n S-->>SE: return summary\n SE-->>M: return summary\n```\n\n\n## Tasks\n{\"Logic Analysis\": \"\\n 在这个项目中，所有的模块都依赖于“SearchEngine”类，这是主入口，其他的模块（Index、Ranking和Summary）都通过它交互。另外，\\\"Index\\\"类又依赖于\\\"KnowledgeBase\\\"类，因为它需要从知识库中获取数据。\\n\\n- \\\"main.py\\\"包含\\\"Main\\\"类，是程序的入口点，它调用\\\"SearchEngine\\\"进行搜索操作，所以在其他任何模块之前，\\\"SearchEngine\\\"必须首先被定义。\\n- \\\"search.py\\\"定义了\\\"SearchEngine\\\"类，它依赖于\\\"Index\\\"、\\\"Ranking\\\"和\\\"Summary\\\"，因此，这些模块需要在\\\"search.py\\\"之前定义。\\n- \\\"index.py\\\"定义了\\\"Index\\\"类，它从\\\"knowledge_base.py\\\"获取数据来创建索引，所以\\\"knowledge_base.py\\\"需要在\\\"index.py\\\"之前定义。\\n- \\\"ranking.py\\\"和\\\"summary.py\\\"相对独立，只需确保在\\\"search.py\\\"之前定义。\\n- \\\"knowledge_base.py\\\"是独立的模块，可以优先开发。\\n- \\\"interface.py\\\"、\\\"user_feedback.py\\\"、\\\"security.py\\\"、\\\"testing.py\\\"和\\\"monitoring.py\\\"看起来像是功能辅助模块，可以在主要功能模块开发完成后并行开发。\\n \", \"Task list\": [\"smart_search_engine/knowledge_base.py\", \"smart_search_engine/index.py\", \"smart_search_engine/ranking.py\", \"smart_search_engine/summary.py\", \"smart_search_engine/search.py\", \"smart_search_engine/main.py\", \"smart_search_engine/interface.py\", \"smart_search_engine/user_feedback.py\", \"smart_search_engine/security.py\", \"smart_search_engine/testing.py\", \"smart_search_engine/monitoring.py\"]}\n\n## Legacy Code\n```Code\n----- smart_search_engine/knowledge_base.py\n## smart_search_engine/knowledge_base.py\n\nclass KnowledgeBase:\n def __init__(self):\n self.data = {}\n\n def update(self, data: dict):\n \"\"\"\n Update the knowledge base with new data.\n\n Args:\n data (dict): The new data to be added to the knowledge base.\n \"\"\"\n self.data.update(data)\n\n def fetch_data(self, query: str) -> dict:\n \"\"\"\n Fetch data from the knowledge base based on the given query.\n\n Args:\n query (str): The query to search for in the knowledge base.\n\n Returns:\n dict: The data matching the query.\n \"\"\"\n return self.data.get(query, {})\n\n----- smart_search_engine/index.py\n## smart_search_engine/index.py\n\nfrom smart_search_engine.knowledge_base import KnowledgeBase\n\nclass Index:\n def __init__(self):\n self.knowledge_base = KnowledgeBase()\n self.index = {}\n\n def create_index(self, data: dict):\n \"\"\"\n Create an index based on the given data.\n\n Args:\n data (dict): The data to be indexed.\n \"\"\"\n self.knowledge_base.update(data)\n self.index = {}\n\n for query, _ in data.items():\n results = self.knowledge_base.fetch_data(query)\n self.index[query] = results\n\n def query_index(self, query: str) -> list:\n \"\"\"\n Query the index based on the given query.\n\n Args:\n query (str): The query to search for in the index.\n\n Returns:\n list: The results matching the query.\n \"\"\"\n if query in self.index:\n return self.index[query]\n else:\n return []\n\n----- smart_search_engine/ranking.py\n## smart_search_engine/ranking.py\n\nclass Ranking:\n def rank_results(self, results: list) -> list:\n \"\"\"\n Rank the search results based on relevance.\n\n Args:\n results (list): The search results to be ranked.\n\n Returns:\n list: The ranked search results.\n \"\"\"\n ranked_results = sorted(results, key=lambda x: x['relevance'], reverse=True)\n return ranked_results\n\n----- smart_search_engine/summary.py\n## smart_search_engine/summary.py\n\nclass Summary:\n def summarize_results(self, results: list) -> str:\n \"\"\"\n Summarize the search results into a single string.\n\n Args:\n results (list): The search results to be summarized.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n summary = \"\"\n for result in results:\n summary += result['summary'] + \"\\n\"\n return summary.strip()\n\n----- smart_search_engine/search.py\n## smart_search_engine/search.py\n\nfrom smart_search_engine.index import Index\nfrom smart_search_engine.ranking import Ranking\nfrom smart_search_engine.summary import Summary\n\nclass SearchEngine:\n def __init__(self):\n self.index = Index()\n self.ranking = Ranking()\n self.summary = Summary()\n\n def search(self, query: str) -> str:\n \"\"\"\n Perform a search based on the given query.\n\n Args:\n query (str): The query to search for.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n results = self.index.query_index(query)\n ranked_results = self.ranking.rank_results(results)\n summary = self.summary.summarize_results(ranked_results)\n return summary\n\n----- smart_search_engine/main.py\n## smart_search_engine/main.py\n\nfrom smart_search_engine.search import SearchEngine\n\nclass Main:\n def __init__(self):\n self.search_engine = SearchEngine()\n\n def main(self) -> str:\n \"\"\"\n Main function to perform a search based on user input.\n\n Returns:\n str: The summarized search results.\n \"\"\"\n query = input(\"Enter your search query: \")\n summary = self.search_engine.search(query)\n return summary\n\nif __name__ == \"__main__\":\n main = Main()\n summary = main.main()\n print(summary)\n\n----- smart_search_engine/interface.py\n## smart_search_engine/interface.py\n\nfrom smart_search_engine.search import SearchEngine\n\nclass Interface:\n def __init__(self):\n self.search_engine = SearchEngine()\n\n def run(self):\n \"\"\"\n Run the search engine interface.\n \"\"\"\n while True:\n query = input(\"Enter your search query (or 'exit' to quit): \")\n if query == \"exit\":\n break\n summary = self.search_engine.search(query)\n print(summary)\n\nif __name__ == \"__main__\":\n interface = Interface()\n interface.run()\n\n----- smart_search_engine/user_feedback.py\n## smart_search_engine/user_feedback.py\n\nclass UserFeedback:\n def __init__(self):\n self.feedback = []\n\n def add_feedback(self, query: str, relevance: int):\n \"\"\"\n Add user feedback for a search query.\n\n Args:\n query (str): The search query.\n relevance (int): The relevance score provided by the user.\n \"\"\"\n feedback = {\n 'query': query,\n 'relevance': relevance\n }\n self.feedback.append(feedback)\n\n def get_feedback(self) -> list:\n \"\"\"\n Get the user feedback.\n\n Returns:\n list: The user feedback.\n \"\"\"\n return self.feedback\n\n----- smart_search_engine/security.py\n## smart_search_engine/security.py\n\nclass Security:\n def __init__(self):\n self.user_feedback = UserFeedback()\n\n def check_user_feedback(self, query: str) -> bool:\n \"\"\"\n Check if the user has provided feedback for the given query.\n\n Args:\n query (str): The search query.\n\n Returns:\n bool: True if the user has provided feedback, False otherwise.\n \"\"\"\n feedback = self.user_feedback.get_feedback()\n for item in feedback:\n if item['query'] == query:\n return True\n return False\n\n def get_user_feedback(self, query: str) -> int:\n \"\"\"\n Get the relevance score provided by the user for the given query.\n\n Args:\n query (str): The search query.\n\n Returns:\n int: The relevance score provided by the user, or None if no feedback is found.\n \"\"\"\n feedback = self.user_feedback.get_feedback()\n for item in feedback:\n if item['query'] == query:\n return item['relevance']\n return None\n\n def add_user_feedback(self, query: str, relevance: int):\n \"\"\"\n Add user feedback for the given query.\n\n Args:\n query (str): The search query.\n relevance (int): The relevance score provided by the user.\n \"\"\"\n self.user_feedback.add_feedback(query, relevance)\n\n----- smart_search_engine/testing.py\n## smart_search_engine/testing.py\n\nfrom smart_search_engine.search import SearchEngine\nfrom smart_search_engine.index import Index\nfrom smart_search_engine.ranking import Ranking\nfrom smart_search_engine.summary import Summary\nfrom smart_search_engine.knowledge_base import KnowledgeBase\n\nclass Testing:\n def __init__(self):\n self.search_engine = SearchEngine()\n self.index = Index()\n self.ranking = Ranking()\n self.summary = Summary()\n self.knowledge_base = KnowledgeBase()\n\n def test_search_engine(self):\n \"\"\"\n Test the search engine functionality.\n \"\"\"\n # Test case 1: Search for a query that exists in the index\n query1 = \"apple\"\n expected_summary1 = \"Summary of search results for query: apple\"\n self.knowledge_base.update({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n self.index.create_index({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n summary1 = self.search_engine.search(query1)\n assert summary1 == expected_summary1, f\"Test case 1 failed: {summary1}\"\n\n # Test case 2: Search for a query that does not exist in the index\n query2 = \"banana\"\n expected_summary2 = \"No results found for query: banana\"\n self.knowledge_base.update({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n self.index.create_index({\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}})\n summary2 = self.search_engine.search(query2)\n assert summary2 == expected_summary2, f\"Test case 2 failed: {summary2}\"\n\n def test_index(self):\n \"\"\"\n Test the index functionality.\n \"\"\"\n # Test case 1: Create index with valid data\n data1 = {\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}}\n expected_index1 = {\"apple\": {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}}\n self.knowledge_base.update(data1)\n self.index.create_index(data1)\n index1 = self.index.index\n assert index1 == expected_index1, f\"Test case 1 failed: {index1}\"\n\n # Test case 2: Query index with valid query\n query2 = \"apple\"\n expected_results2 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}]\n results2 = self.index.query_index(query2)\n assert results2 == expected_results2, f\"Test case 2 failed: {results2}\"\n\n # Test case 3: Query index with invalid query\n query3 = \"banana\"\n expected_results3 = []\n results3 = self.index.query_index(query3)\n assert results3 == expected_results3, f\"Test case 3 failed: {results3}\"\n\n def test_ranking(self):\n \"\"\"\n Test the ranking functionality.\n \"\"\"\n # Test case 1: Rank results in descending order of relevance\n results1 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n expected_ranked_results1 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n ranked_results1 = self.ranking.rank_results(results1)\n assert ranked_results1 == expected_ranked_results1, f\"Test case 1 failed: {ranked_results1}\"\n\n # Test case 2: Rank results in ascending order of relevance\n results2 = [{\"relevance\": 0.6, \"summary\": \"This is a banana.\"}, {\"relevance\": 0.8, \"summary\": \"This is an apple.\"}]\n expected_ranked_results2 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n ranked_results2 = self.ranking.rank_results(results2)\n assert ranked_results2 == expected_ranked_results2, f\"Test case 2 failed: {ranked_results2}\"\n\n def test_summary(self):\n \"\"\"\n Test the summary functionality.\n \"\"\"\n # Test case 1: Summarize search results into a single string\n results1 = [{\"relevance\": 0.8, \"summary\": \"This is an apple.\"}, {\"relevance\": 0.6, \"summary\": \"This is a banana.\"}]\n expected_summary1 = \"This is an apple.\\nThis is a banana.\"\n summary1 = self.summary.summarize_results(results1)\n assert summary1 == expected_summary1, f\"Test case 1 failed: {summary1}\"\n\n # Test case 2: Summarize empty search results\n results2 = []\n expected_summary2 = \"\"\n summary2 = self.summary.summarize_results(results2)\n assert summary2 == expected_summary2, f\"Test case 2 failed: {summary2}\"\n\n def run_tests(self):\n \"\"\"\n Run all the tests.\n \"\"\"\n self.test_search_engine()\n self.test_index()\n self.test_ranking()\n self.test_summary()\n\nif __name__ == \"__main__\":\n testing = Testing()\n testing.run_tests()\n\n```\n\n## Debug logs\n```text\n\n\n\n```\n\n## Bug Feedback logs\n```text\n\n```\n\n# Format example\n## Code: smart_search_engine/monitoring.py\n```python\n## smart_search_engine/monitoring.py\n...\n```\n\n# Instruction: Based on the context, follow \"Format example\", write code.\n\n## Code: smart_search_engine/monitoring.py. Write code with triple quoto, based on the following attentions and context.\n1. Only One file: do your best to implement THIS ONLY ONE FILE.\n2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets.\n3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import.\n4. Follow design: YOU MUST FOLLOW \"Data structures and interfaces\". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design.\n5. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE.\n6. Before using a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n": "```python\n## smart_search_engine/monitoring.py\n\nimport time\n\nclass Monitoring:\n def __init__(self):\n self.start_time = None\n self.end_time = None\n\n def start(self):\n \"\"\"\n Start the monitoring timer.\n \"\"\"\n self.start_time = time.time()\n\n def stop(self):\n \"\"\"\n Stop the monitoring timer.\n \"\"\"\n self.end_time = time.time()\n\n def get_elapsed_time(self) -> float:\n \"\"\"\n Get the elapsed time in seconds.\n\n Returns:\n float: The elapsed time in seconds.\n \"\"\"\n if self.start_time is None or self.end_time is None:\n raise Exception(\"Monitoring timer has not been started or stopped.\")\n return self.end_time - self.start_time\n```\n\n## Explanation:\nI have implemented the `Monitoring` class in the `smart_search_engine/monitoring.py` file. This class is responsible for starting and stopping a timer to monitor the elapsed time of a process. \n\nThe `Monitoring` class has the following methods:\n- `start()`: Starts the monitoring timer by setting the `start_time` attribute to the current time.\n- `stop()`: Stops the monitoring timer by setting the `end_time` attribute to the current time.\n- `get_elapsed_time()`: Calculates and returns the elapsed time in seconds by subtracting the `start_time` from the `end_time`. If the monitoring timer has not been started or stopped, an exception is raised.\n\nThis implementation follows the design specified in the `Data structures and interfaces` section.", - "\n## context\n\n### Project Name\n\n\n### Original Requirements\n['开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结']\n\n### Search Information\n-\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"Create a 2048 game\",\n \"Project Name\": \"game_2048\",\n \"Product Goals\": [\n \"Create an engaging user experience\",\n \"Improve accessibility, be responsive\",\n \"More beautiful UI\"\n ],\n \"User Stories\": [\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Original Requirements: # Place the original user's requirements here.\n- Project Name: # According to the content of \"Original Requirements,\" name the project using snake case style , like 'game_2048' or 'simple_crm.\n- Product Goals: typing.List[str] # Provide up to three clear, orthogonal product goals.\n- User Stories: typing.List[str] # Provide up to 3 to 5 scenario-based user stories.\n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Requirement Analysis: # Provide a detailed analysis of the requirements.\n- Requirement Pool: typing.List[typing.List[str]] # List down the top-5 requirements with their priority (P0, P1, P2).\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "{\n \"Language\": \"en_us\",\n \"Programming Language\": \"\",\n \"Original Requirements\": \"开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结\",\n \"Project Name\": \"search_engine\",\n \"Product Goals\": [\n \"Develop a search engine based on a large language model\",\n \"Incorporate a private knowledge base for enhanced search capabilities\",\n \"Implement search summarization using the large language model\"\n ],\n \"User Stories\": [\n \"As a user, I want to be able to search for information using natural language queries\",\n \"As a user, I want the search engine to provide relevant and accurate results\",\n \"As a user, I want the search engine to summarize the search results for easier understanding\"\n ],\n \"Competitive Analysis\": [],\n \"Competitive Quadrant Chart\": \"\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [],\n \"UI Design draft\": \"\",\n \"Anything UNCLEAR\": \"\"\n}" + "\n## context\n\n### Project Name\n\n\n### Original Requirements\n['开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结']\n\n### Search Information\n-\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"Create a 2048 game\",\n \"Project Name\": \"game_2048\",\n \"Product Goals\": [\n \"Create an engaging user experience\",\n \"Improve accessibility, be responsive\",\n \"More beautiful UI\"\n ],\n \"User Stories\": [\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Original Requirements: # Place the original user's requirements here.\n- Project Name: # According to the content of \"Original Requirements,\" name the project using snake case style , like 'game_2048' or 'simple_crm.\n- Product Goals: typing.List[str] # Provide up to three clear, orthogonal product goals.\n- User Stories: typing.List[str] # Provide up to 3 to 5 scenario-based user stories.\n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Requirement Analysis: # Provide a detailed analysis of the requirements.\n- Requirement Pool: typing.List[typing.List[str]] # List down the top-5 requirements with their priority (P0, P1, P2).\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "{\n \"Language\": \"en_us\",\n \"Programming Language\": \"\",\n \"Original Requirements\": \"开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结\",\n \"Project Name\": \"search_engine\",\n \"Product Goals\": [\n \"Develop a search engine based on a large language model\",\n \"Incorporate a private knowledge base for enhanced search capabilities\",\n \"Implement search summarization using the large language model\"\n ],\n \"User Stories\": [\n \"As a user, I want to be able to search for information using natural language queries\",\n \"As a user, I want the search engine to provide relevant and accurate results\",\n \"As a user, I want the search engine to summarize the search results for easier understanding\"\n ],\n \"Competitive Analysis\": [],\n \"Competitive Quadrant Chart\": \"\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [],\n \"UI Design draft\": \"\",\n \"Anything UNCLEAR\": \"\"\n}", + "\nRole: You are a senior development and qa engineer, your role is summarize the code running result.\nIf the running result does not include an error, you should explicitly approve the result.\nOn the other hand, if the running result indicates some error, you should point out which part, the development code or the test code, produces the error,\nand give specific instructions on fixing the errors. Here is the code info:\n\n## Development Code File Name\na.txt\n## Development Code\n```python\nprint('Hello, World')\n```\n## Test File Name\n\n## Test Code\n```python\nNone\n```\n## Running Command\n\n## Running Output\nstandard output: \n```text\n\n```\nstandard errors: \n```text\n\n```\n\nNow you should begin your analysis\n---\n## instruction:\nPlease summarize the cause of the errors and give correction instruction\n## File To Rewrite:\nDetermine the ONE file to rewrite in order to fix the error, for example, xyz.py, or test_xyz.py\n## Status:\nDetermine if all of the code works fine, if so write PASS, else FAIL,\nWRITE ONLY ONE WORD, PASS OR FAIL, IN THIS SECTION\n## Send To:\nPlease write Engineer if the errors are due to problematic development codes, and QaEngineer to problematic test codes, and NoOne if there are no errors,\nWRITE ONLY ONE WORD, Engineer OR QaEngineer OR NoOne, IN THIS SECTION.\n---\nYou should fill in necessary instruction, status, send to, and finally return all content between the --- segment line.\n": "---\ninstruction: There are no errors in the provided code.\n\nFile To Rewrite: N/A\n\nStatus: PASS\n\nSend To: NoOne\n---", + "\nRole: You are a senior development and qa engineer, your role is summarize the code running result.\nIf the running result does not include an error, you should explicitly approve the result.\nOn the other hand, if the running result indicates some error, you should point out which part, the development code or the test code, produces the error,\nand give specific instructions on fixing the errors. Here is the code info:\n\n## Development Code File Name\na.sh\n## Development Code\n```python\necho 'Hello World'\n```\n## Test File Name\n\n## Test Code\n```python\nNone\n```\n## Running Command\necho Hello World\n## Running Output\nstandard output: \n```text\nHello World\n\n```\nstandard errors: \n```text\n\n```\n\nNow you should begin your analysis\n---\n## instruction:\nPlease summarize the cause of the errors and give correction instruction\n## File To Rewrite:\nDetermine the ONE file to rewrite in order to fix the error, for example, xyz.py, or test_xyz.py\n## Status:\nDetermine if all of the code works fine, if so write PASS, else FAIL,\nWRITE ONLY ONE WORD, PASS OR FAIL, IN THIS SECTION\n## Send To:\nPlease write Engineer if the errors are due to problematic development codes, and QaEngineer to problematic test codes, and NoOne if there are no errors,\nWRITE ONLY ONE WORD, Engineer OR QaEngineer OR NoOne, IN THIS SECTION.\n---\nYou should fill in necessary instruction, status, send to, and finally return all content between the --- segment line.\n": "The running result indicates no error. The code works fine.\n\n## File To Rewrite:\nNo file needs to be rewritten.\n\n## Status:\nPASS\n\n## Send To:\nNoOne\n\n---", + "\nRole: You are a senior development and qa engineer, your role is summarize the code running result.\nIf the running result does not include an error, you should explicitly approve the result.\nOn the other hand, if the running result indicates some error, you should point out which part, the development code or the test code, produces the error,\nand give specific instructions on fixing the errors. Here is the code info:\n\n## Development Code File Name\na.py\n## Development Code\n```python\npython -c \"print(1/0)\"\n```\n## Test File Name\n\n## Test Code\n```python\nNone\n```\n## Running Command\npython -c print(1/0)\n## Running Output\nstandard output: \n```text\n\n```\nstandard errors: \n```text\nTraceback (most recent call last):\n File \"\", line 1, in \nZeroDivisionError: division by zero\n\n```\n\nNow you should begin your analysis\n---\n## instruction:\nPlease summarize the cause of the errors and give correction instruction\n## File To Rewrite:\nDetermine the ONE file to rewrite in order to fix the error, for example, xyz.py, or test_xyz.py\n## Status:\nDetermine if all of the code works fine, if so write PASS, else FAIL,\nWRITE ONLY ONE WORD, PASS OR FAIL, IN THIS SECTION\n## Send To:\nPlease write Engineer if the errors are due to problematic development codes, and QaEngineer to problematic test codes, and NoOne if there are no errors,\nWRITE ONLY ONE WORD, Engineer OR QaEngineer OR NoOne, IN THIS SECTION.\n---\nYou should fill in necessary instruction, status, send to, and finally return all content between the --- segment line.\n": "---\nThe error is caused by the development code in file a.py, which attempts to divide by zero. To fix the error, the development code in a.py should be modified to handle the ZeroDivisionError, for example by using a try-except block.\n\nFile To Rewrite:\na.py\n\nStatus:\nFAIL\n\nSend To:\nEngineer\n---", + "\nNOTICE\n1. Role: You are a Development Engineer or QA engineer;\n2. Task: You received this message from another Development Engineer or QA engineer who ran or tested your code. \nBased on the message, first, figure out your own role, i.e. Engineer or QaEngineer,\nthen rewrite the development code or the test code based on your role, the error, and the summary, such that all bugs are fixed and the code performs well.\nAttention: Use '##' to split sections, not '#', and '## ' SHOULD WRITE BEFORE the test case or script and triple quotes.\nThe message is as follows:\n# Legacy Code\n```python\n\nfrom typing import List\nfrom deck import Deck\nfrom card import Card\n\nclass Player:\n \"\"\"\n A class representing a player in the Black Jack game.\n \"\"\"\n\n def __init__(self, name: str):\n \"\"\"\n Initialize a Player object.\n \n Args:\n name (str): The name of the player.\n \"\"\"\n self.name = name\n self.hand: List[Card] = []\n self.score = 0\n\n def draw(self, deck: Deck):\n \"\"\"\n Draw a card from the deck and add it to the player's hand.\n \n Args:\n deck (Deck): The deck of cards.\n \"\"\"\n card = deck.draw_card()\n self.hand.append(card)\n self.calculate_score()\n\n def calculate_score(self) -> int:\n \"\"\"\n Calculate the score of the player's hand.\n \n Returns:\n int: The score of the player's hand.\n \"\"\"\n self.score = sum(card.value for card in self.hand)\n # Handle the case where Ace is counted as 11 and causes the score to exceed 21\n if self.score > 21 and any(card.rank == 'A' for card in self.hand):\n self.score -= 10\n return self.score\n\n```\n---\n# Unit Test Code\n```python\n\nimport unittest\nfrom blackjack_game.player import Player\nfrom blackjack_game.deck import Deck\nfrom blackjack_game.card import Card\n\nclass TestPlayer(unittest.TestCase):\n ## Test the Player's initialization\n def test_player_initialization(self):\n player = Player(\"Test Player\")\n self.assertEqual(player.name, \"Test Player\")\n self.assertEqual(player.hand, [])\n self.assertEqual(player.score, 0)\n\n ## Test the Player's draw method\n def test_player_draw(self):\n deck = Deck()\n player = Player(\"Test Player\")\n player.draw(deck)\n self.assertEqual(len(player.hand), 1)\n self.assertEqual(player.score, player.hand[0].value)\n\n ## Test the Player's calculate_score method\n def test_player_calculate_score(self):\n deck = Deck()\n player = Player(\"Test Player\")\n player.draw(deck)\n player.draw(deck)\n self.assertEqual(player.score, sum(card.value for card in player.hand))\n\n ## Test the Player's calculate_score method with Ace card\n def test_player_calculate_score_with_ace(self):\n deck = Deck()\n player = Player(\"Test Player\")\n player.hand.append(Card('A', 'Hearts', 11))\n player.hand.append(Card('K', 'Hearts', 10))\n player.calculate_score()\n self.assertEqual(player.score, 21)\n\n ## Test the Player's calculate_score method with multiple Aces\n def test_player_calculate_score_with_multiple_aces(self):\n deck = Deck()\n player = Player(\"Test Player\")\n player.hand.append(Card('A', 'Hearts', 11))\n player.hand.append(Card('A', 'Diamonds', 11))\n player.calculate_score()\n self.assertEqual(player.score, 12)\n\nif __name__ == '__main__':\n unittest.main()\n\n\n```\n---\n# Console logs\n```text\n\n```\n---\nNow you should start rewriting the code:\n## file name of the code to rewrite: Write code with triple quote. Do your best to implement THIS IN ONLY ONE FILE.\n": "```python\n## Development Engineer\n\nfrom typing import List\nfrom deck import Deck\nfrom card import Card\n\nclass Player:\n \"\"\"\n A class representing a player in the Black Jack game.\n \"\"\"\n\n def __init__(self, name: str):\n \"\"\"\n Initialize a Player object.\n \n Args:\n name (str): The name of the player.\n \"\"\"\n self.name = name\n self.hand: List[Card] = []\n self.score = 0\n\n def draw(self, deck: Deck):\n \"\"\"\n Draw a card from the deck and add it to the player's hand.\n \n Args:\n deck (Deck): The deck of cards.\n \"\"\"\n card = deck.draw_card()\n self.hand.append(card)\n self.calculate_score()\n\n def calculate_score(self) -> int:\n \"\"\"\n Calculate the score of the player's hand.\n \n Returns:\n int: The score of the player's hand.\n \"\"\"\n self.score = sum(card.value for card in self.hand)\n # Handle the case where Ace is counted as 11 and causes the score to exceed 21\n ace_count = sum(1 for card in self.hand if card.rank == 'A')\n while self.score > 21 and ace_count > 0:\n self.score -= 10\n ace_count -= 1\n return self.score\n```\n\n```python\n## QaEngineer\n\nimport unittest\nfrom player import Player\nfrom deck import Deck\nfrom card import Card\n\nclass TestPlayer(unittest.TestCase):\n ## Test the Player's initialization\n def test_player_initialization(self):\n player = Player(\"Test Player\")\n self.assertEqual(player.name, \"Test Player\")\n self.assertEqual(player.hand, [])\n self.assertEqual(player.score, 0)\n\n ## Test the Player's draw method\n def test_player_draw(self):\n deck = Deck()\n player = Player(\"Test Player\")\n player.draw(deck)\n self.assertEqual(len(player.hand), 1)\n self.assertEqual(player.score, player.hand[0].value)\n\n ## Test the Player's calculate_score method\n def test_player_calculate_score(self):\n deck = Deck()\n player = Player(\"Test Player\")\n player.draw(deck)\n player.draw(deck)\n self.assertEqual(player.score, sum(card.value for card in player.hand))\n\n ## Test the Player's calculate_score method with Ace card\n def test_player_calculate_score_with_ace(self):\n player = Player(\"Test Player\")\n player.hand.append(Card('A', 'Hearts', 11))\n player.hand.append(Card('K', 'Hearts', 10))\n player.calculate_score()\n self.assertEqual(player.score, 21)\n\n ## Test the Player's calculate_score method with multiple Aces\n def test_player_calculate_score_with_multiple_aces(self):\n player = Player(\"Test Player\")\n player.hand.append(Card('A', 'Hearts', 11))\n player.hand.append(Card('A', 'Diamonds', 11))\n player.calculate_score()\n self.assertEqual(player.score, 12)\n\nif __name__ == '__main__':\n unittest.main()\n```" } \ No newline at end of file diff --git a/tests/metagpt/actions/test_debug_error.py b/tests/metagpt/actions/test_debug_error.py index 6258aa6d4..e512c370a 100644 --- a/tests/metagpt/actions/test_debug_error.py +++ b/tests/metagpt/actions/test_debug_error.py @@ -149,5 +149,16 @@ async def test_debug_error(): rsp = await debug_error.run() assert "class Player" in rsp # rewrite the same class - # a key logic to rewrite to (original one is "if self.score > 12") + # Problematic code: + # ``` + # if self.score > 21 and any(card.rank == 'A' for card in self.hand): + # self.score -= 10 + # ``` + # Should rewrite to (used "gpt-3.5-turbo-1106"): + # ``` + # ace_count = sum(1 for card in self.hand if card.rank == 'A') + # while self.score > 21 and ace_count > 0: + # self.score -= 10 + # ace_count -= 1 + # ``` assert "while self.score > 21" in rsp diff --git a/tests/metagpt/tools/test_search_engine_meilisearch.py b/tests/metagpt/tools/test_search_engine_meilisearch.py index 9e1fbfbb9..574d6d30f 100644 --- a/tests/metagpt/tools/test_search_engine_meilisearch.py +++ b/tests/metagpt/tools/test_search_engine_meilisearch.py @@ -29,6 +29,7 @@ def search_engine_server(): meilisearch_process.wait() +@pytest.mark.skip def test_meilisearch(search_engine_server): # Prerequisites # https://www.meilisearch.com/docs/learn/getting_started/installation