add support for open-interpreter.

metagpt/tools/code_interpreter.py

@@ -0,0 +1,128 @@
+import re
+from typing import List, Callable
+from pathlib import Path
+
+import wrapt
+import textwrap
+import inspect
+from interpreter.interpreter import Interpreter
+
+from metagpt.logs import logger
+from metagpt.config import CONFIG
+from metagpt.utils.highlight import highlight
+from metagpt.actions.clone_function import CloneFunction, run_fucntion_code, run_fucntion_script
+from metagpt.actions.run_code import RunCode
+
+
+def extract_python_code(code: str):
+    """提取代码块: 如果代码注释相同，则只保留最后一个代码块."""
+    # 使用正则表达式匹配注释块和相关的代码
+    pattern = r'(#\s[^\n]*)\n(.*?)(?=\n\s*#|$)'
+    matches = re.findall(pattern, code, re.DOTALL)
+
+    # 提取每个相同注释的最后一个代码块
+    unique_comments = {}
+    for comment, code_block in matches:
+        unique_comments[comment] = code_block
+
+    # 组装结果字符串
+    result_code = '\n'.join([f"{comment}\n{code_block}" for comment, code_block in unique_comments.items()])
+    header_code = code[:code.find("#")]
+    code = header_code + result_code
+
+    logger.info(f"Extract python code: \n {highlight(code)}")
+
+    return code
+
+
+class OpenCodeInterpreter(object):
+    """https://github.com/KillianLucas/open-interpreter"""
+    def __init__(self, auto_run: bool = True) -> None:
+        interpreter = Interpreter()
+        interpreter.auto_run = auto_run
+        interpreter.model = CONFIG.openai_api_model or "gpt-3.5-turbo"
+        interpreter.api_key = CONFIG.openai_api_key
+        self.interpreter = interpreter
+
+    def chat(self, query: str, reset: bool = True):
+        if reset:
+            self.interpreter.reset()
+        return self.interpreter.chat(query, return_messages=True)
+
+    @staticmethod
+    def extract_function(query_respond: List, function_name: str, *, language: str = 'python',
+                         function_format: str = None) -> str:
+        """create a function from query_respond."""
+        if language not in ('python'):
+            raise NotImplementedError(f"Not support to parse language {language}!")
+
+        # 定义函数形式
+        if function_format is None:
+            assert language == 'python', f"Expect python language for default function_format, but got {language}."
+            function_format = """def {function_name}():\n{code}"""
+        # 解析open-interpreter respond message中的代码模块
+        code = [item['function_call']['parsed_arguments']['code'] for item in query_respond
+                if "function_call" in item
+                and "parsed_arguments" in item["function_call"]
+                and 'language' in item["function_call"]['parsed_arguments']
+                and item["function_call"]['parsed_arguments']['language'] == language]
+        # 添加缩进
+        indented_code_str = textwrap.indent("\n".join(code), ' ' * 4)
+        # 按照代码注释, 返回去重后的代码
+        if language == "python":
+            return extract_python_code(function_format.format(function_name=function_name, code=indented_code_str))
+
+
+def gen_query(func: Callable, args, kwargs) -> str:
+    # 函数的注释, 也就是query的主体
+    desc = func.__doc__
+    signature = inspect.signature(func)
+    # 获取函数wrapped的签名和入参的赋值
+    bound_args = signature.bind(*args, **kwargs)
+    bound_args.apply_defaults()
+    query = f"{desc}, {bound_args.arguments}, If you must use a third-party package, use the most popular ones, for example: pandas, numpy, ta, ..."
+    return query
+
+
+def gen_template_fun(func: Callable) -> str:
+    return f"def {func.__name__}{str(inspect.signature(func))}\n    # here is your code ..."
+
+
+class OpenInterpreterDecorator(object):
+    def __init__(self, save_code: bool = False, code_file_path: str = None, clear_code: bool = False) -> None:
+        self.save_code = save_code
+        self.code_file_path = code_file_path
+        self.clear_code = clear_code
+
+    def __call__(self, wrapped):
+        @wrapt.decorator
+        async def wrapper(wrapped: Callable, instance, args, kwargs):
+            # 获取被装饰的函数名
+            func_name = wrapped.__name__
+            # 如果脚本在本地存在，而且不需要clearcode，则从脚本执行该函数
+            if Path(self.code_file_path).is_file() and not self.clear_code:
+                return run_fucntion_script(self.code_file_path, func_name, *args, **kwargs)
+
+            # 使用open-interpreter逐步生成代码
+            interpreter = OpenCodeInterpreter()
+            query = gen_query(wrapped, args, kwargs)
+            logger.info(f"query for OpenCodeInterpreter: \n {query}")
+            respond = interpreter.chat(query)
+            # 将open-interpreter逐步生成的代码组装成无入参的函数
+            func_code = interpreter.extract_function(respond, func_name)
+            # 把code克隆为wrapped，即保持code和wrapped函数有相同的入参和返回值类型
+            template_func = gen_template_fun(wrapped)
+            cf = CloneFunction()
+            code = await cf.run(template_func=template_func, source_code=func_code)
+            # 在终端显示生成的函数
+            logger_code = highlight(code, "python")
+            logger.info(f"Creating following Python function:\n{logger_code}")
+            # 执行该函数
+            try:
+                res = run_fucntion_code(code, func_name, *args, **kwargs)
+                if self.save_code:
+                    cf._save(self.code_file_path, code)
+            except Exception as e:
+                raise Exception("Could not evaluate Python code", e)
+            return res
+        return wrapper(wrapped)