275 lines
10 KiB
Python
275 lines
10 KiB
Python
# encoding: utf-8
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'''
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@author: 温进
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@file: codebase_handler.py
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@time: 2023/11/21 下午2:25
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@desc:
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'''
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import os
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import time
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import json
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from typing import List
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from loguru import logger
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from coagent.base_configs.env_config import (
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NEBULA_HOST, NEBULA_PORT, NEBULA_USER, NEBULA_PASSWORD, NEBULA_STORAGED_PORT,
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CHROMA_PERSISTENT_PATH, CB_ROOT_PATH
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)
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from coagent.db_handler.graph_db_handler.nebula_handler import NebulaHandler
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from coagent.db_handler.vector_db_handler.chroma_handler import ChromaHandler
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from coagent.codechat.code_crawler.zip_crawler import *
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from coagent.codechat.code_analyzer.code_analyzer import CodeAnalyzer
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from coagent.codechat.codebase_handler.code_importer import CodeImporter
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from coagent.codechat.code_search.code_search import CodeSearch
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from coagent.llm_models.llm_config import EmbedConfig, LLMConfig
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class CodeBaseHandler:
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def __init__(
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self,
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codebase_name: str,
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code_path: str = '',
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language: str = 'java',
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crawl_type: str = 'ZIP',
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embed_config: EmbedConfig = EmbedConfig(),
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llm_config: LLMConfig = LLMConfig(),
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use_nh: bool = True,
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local_graph_path: str = CB_ROOT_PATH
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):
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self.codebase_name = codebase_name
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self.code_path = code_path
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self.language = language
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self.crawl_type = crawl_type
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self.embed_config = embed_config
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self.llm_config = llm_config
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self.local_graph_file_path = local_graph_path + os.sep + f'{self.codebase_name}_graph.json'
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if use_nh:
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try:
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self.nh = NebulaHandler(host=NEBULA_HOST, port=NEBULA_PORT, username=NEBULA_USER,
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password=NEBULA_PASSWORD, space_name=codebase_name)
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self.nh.add_host(NEBULA_HOST, NEBULA_STORAGED_PORT)
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time.sleep(1)
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except:
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self.nh = None
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try:
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with open(self.local_graph_file_path, 'r') as f:
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self.graph = json.load(f)
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except:
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pass
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elif local_graph_path:
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self.nh = None
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try:
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with open(self.local_graph_file_path, 'r') as f:
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self.graph = json.load(f)
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except:
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pass
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self.ch = ChromaHandler(path=CHROMA_PERSISTENT_PATH, collection_name=codebase_name)
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def import_code(self, zip_file='', do_interpret=True):
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'''
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analyze code and save it to codekg and codedb
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@return:
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'''
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# init graph to init tag and edge
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code_importer = CodeImporter(embed_config=self.embed_config, codebase_name=self.codebase_name,
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nh=self.nh, ch=self.ch, local_graph_file_path=self.local_graph_file_path)
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if self.nh:
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code_importer.init_graph()
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time.sleep(5)
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# crawl code
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st0 = time.time()
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logger.info('start crawl')
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code_dict = self.crawl_code(zip_file)
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logger.debug('crawl done, rt={}'.format(time.time() - st0))
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# analyze code
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logger.info('start analyze')
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st1 = time.time()
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code_analyzer = CodeAnalyzer(language=self.language, llm_config=self.llm_config)
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static_analysis_res, interpretation = code_analyzer.analyze(code_dict, do_interpret=do_interpret)
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logger.debug('analyze done, rt={}'.format(time.time() - st1))
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# add info to nebula and chroma
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st2 = time.time()
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code_importer.import_code(static_analysis_res, interpretation, do_interpret=do_interpret)
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logger.debug('update codebase done, rt={}'.format(time.time() - st2))
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# get KG info
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if self.nh:
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stat = self.nh.get_stat()
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vertices_num, edges_num = stat['vertices'], stat['edges']
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else:
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vertices_num = 0
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edges_num = 0
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# get chroma info
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file_num = self.ch.count()['result']
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return vertices_num, edges_num, file_num
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def delete_codebase(self, codebase_name: str):
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'''
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delete codebase
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@param codebase_name: name of codebase
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@return:
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'''
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if self.nh:
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self.nh.drop_space(space_name=codebase_name)
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elif self.local_graph_file_path and os.path.isfile(self.local_graph_file_path):
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os.remove(self.local_graph_file_path)
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self.ch.delete_collection(collection_name=codebase_name)
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def crawl_code(self, zip_file=''):
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'''
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@return:
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'''
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if self.language == 'java':
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suffix = 'java'
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logger.info(f'crawl_type={self.crawl_type}')
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code_dict = {}
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if self.crawl_type.lower() == 'zip':
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code_dict = ZipCrawler.crawl(zip_file, output_path=self.code_path, suffix=suffix)
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elif self.crawl_type.lower() == 'dir':
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code_dict = DirCrawler.crawl(self.code_path, suffix)
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return code_dict
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def search_code(self, query: str, search_type: str, limit: int = 3):
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'''
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search code from codebase
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@param limit:
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@param engine:
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@param query: query from user
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@param search_type: ['cypher', 'graph', 'vector']
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@return:
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'''
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if self.nh:
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assert search_type in ['cypher', 'tag', 'description']
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else:
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if search_type == 'tag':
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search_type = 'tag_by_local_graph'
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assert search_type in ['tag_by_local_graph', 'description']
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code_search = CodeSearch(llm_config=self.llm_config, nh=self.nh, ch=self.ch, limit=limit,
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local_graph_file_path=self.local_graph_file_path)
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if search_type == 'cypher':
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search_res = code_search.search_by_cypher(query=query)
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elif search_type == 'tag':
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search_res = code_search.search_by_tag(query=query)
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elif search_type == 'description':
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search_res = code_search.search_by_desciption(
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query=query, engine=self.embed_config.embed_engine, model_path=self.embed_config.embed_model_path,
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embedding_device=self.embed_config.model_device, embed_config=self.embed_config)
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elif search_type == 'tag_by_local_graph':
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search_res = code_search.search_by_tag_by_graph(query=query)
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context, related_vertice = self.format_search_res(search_res, search_type)
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return context, related_vertice
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def format_search_res(self, search_res: str, search_type: str):
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'''
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format search_res
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@param search_res:
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@param search_type:
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@return:
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'''
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CYPHER_QA_PROMPT = '''
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执行的 Cypher 是: {cypher}
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Cypher 的结果是: {result}
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'''
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if search_type == 'cypher':
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context = CYPHER_QA_PROMPT.format(cypher=search_res['cypher'], result=search_res['cypher_res'])
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related_vertice = []
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elif search_type == 'tag':
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context = ''
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related_vertice = []
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for code in search_res:
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context = context + code['code_text'] + '\n'
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related_vertice.append(code['vertex'])
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elif search_type == 'tag_by_local_graph':
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context = ''
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related_vertice = []
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for code in search_res:
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context = context + code['code_text'] + '\n'
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related_vertice.append(code['vertex'])
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elif search_type == 'description':
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context = ''
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related_vertice = []
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for code in search_res:
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context = context + code['code_text'] + '\n'
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related_vertice.append(code['vertex'])
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return context, related_vertice
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def search_vertices(self, vertex_type="class") -> List[str]:
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'''
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通过 method/class 来搜索所有的节点
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'''
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vertices = []
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if self.nh:
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vertices = self.nh.get_all_vertices()
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vertices = [str(v.as_node().get_id()) for v in vertices["v"] if vertex_type in v.as_node().tags()]
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# for v in vertices["v"]:
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# logger.debug(f"{v.as_node().get_id()}, {v.as_node().tags()}")
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else:
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if vertex_type == "class":
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vertices = [str(class_name) for code, structure in self.graph.items() for class_name in structure['class_name_list']]
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elif vertex_type == "method":
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vertices = [
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str(methods_name)
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for code, structure in self.graph.items()
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for methods_names in structure['func_name_dict'].values()
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for methods_name in methods_names
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]
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# logger.debug(vertices)
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return vertices
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if __name__ == '__main__':
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from configs.model_config import KB_ROOT_PATH, JUPYTER_WORK_PATH
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from configs.server_config import SANDBOX_SERVER
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LLM_MODEL = "gpt-3.5-turbo"
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llm_config = LLMConfig(
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model_name=LLM_MODEL, model_device="cpu", api_key=os.environ["OPENAI_API_KEY"],
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api_base_url=os.environ["API_BASE_URL"], temperature=0.3
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)
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src_dir = '/Users/bingxu/Desktop/工作/大模型/chatbot/Codefuse-chatbot-antcode'
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embed_config = EmbedConfig(
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embed_engine="model", embed_model="text2vec-base-chinese",
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embed_model_path=os.path.join(src_dir, "embedding_models/text2vec-base-chinese")
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)
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codebase_name = 'client_local'
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code_path = '/Users/bingxu/Desktop/工作/大模型/chatbot/test_code_repo/client'
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use_nh = False
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local_graph_path = '/Users/bingxu/Desktop/工作/大模型/chatbot/Codefuse-chatbot-antcode/code_base'
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CHROMA_PERSISTENT_PATH = '/Users/bingxu/Desktop/工作/大模型/chatbot/Codefuse-chatbot-antcode/data/chroma_data'
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cbh = CodeBaseHandler(codebase_name, code_path, crawl_type='dir', use_nh=use_nh, local_graph_path=local_graph_path,
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llm_config=llm_config, embed_config=embed_config)
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# test import code
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# cbh.import_code(do_interpret=True)
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# query = '使用不同的HTTP请求类型（GET、POST、DELETE等）来执行不同的操作'
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# query = '代码中一共有多少个类'
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# query = 'remove 这个函数是用来做什么的'
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query = '有没有函数是从字符串中删除指定字符串的功能'
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search_type = 'description'
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limit = 2
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res = cbh.search_code(query, search_type, limit)
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logger.debug(res)
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