feat(contentPlugin): 完成基本的内容函数调用功能

This commit is contained in:
RockChinQ
2023-07-28 19:03:02 +08:00
parent caa72fa40c
commit ae6994e241
11 changed files with 700 additions and 166 deletions
+182
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import openai
import json
from .model import RequestBase
from ..funcmgr import get_func_schema_list, execute_function, get_func, get_func_schema, ContentFunctionNotFoundError
class ChatCompletionRequest(RequestBase):
"""调用ChatCompletion接口的请求类。
此类保证每一次返回的角色为assistant的信息的finish_reason一定为stop。
若有函数调用响应,本类的返回瀑布是:函数调用请求->函数调用结果->...->assistant的信息->stop。
"""
model: str
messages: list[dict[str, str]]
kwargs: dict
stopped: bool = False
pending_func_call: dict = None
pending_msg: str
def flush_pending_msg(self):
self.append_message(
role="assistant",
content=self.pending_msg
)
self.pending_msg = ""
def append_message(self, role: str, content: str, name: str=None):
msg = {
"role": role,
"content": content
}
if name is not None:
msg['name'] = name
self.messages.append(msg)
def __init__(
self,
model: str,
messages: list[dict[str, str]],
**kwargs
):
self.model = model
self.messages = messages.copy()
self.kwargs = kwargs
self.req_func = openai.ChatCompletion.acreate
self.pending_func_call = None
self.stopped = False
self.pending_msg = ""
def __iter__(self):
return self
def __next__(self) -> dict:
if self.stopped:
raise StopIteration()
if self.pending_func_call is None: # 没有待处理的函数调用请求
resp = self._req(
model=self.model,
messages=self.messages,
functions=get_func_schema_list(),
**self.kwargs
)
choice0 = resp["choices"][0]
# 如果不是函数调用,且finish_reason为stop,则停止迭代
if 'function_call' not in choice0['message'] and choice0["finish_reason"] == "stop":
self.stopped = True
if 'function_call' in choice0['message']:
self.pending_func_call = choice0['message']['function_call']
self.append_message(
role="assistant",
content="function call: "+json.dumps(self.pending_func_call)
)
return {
"id": resp["id"],
"choices": [
{
"index": choice0["index"],
"message": {
"role": "assistant",
"type": "function_call",
"content": None,
"function_call": choice0['message']['function_call']
},
"finish_reason": "function_call"
}
],
"usage": resp["usage"]
}
else:
# self.pending_msg += choice0['message']['content']
# 普通回复一定处于最后方,故不用再追加进内部messages
return {
"id": resp["id"],
"choices": [
{
"index": choice0["index"],
"message": {
"role": "assistant",
"type": "text",
"content": choice0['message']['content']
},
"finish_reason": "stop"
}
],
"usage": resp["usage"]
}
else: # 处理函数调用请求
cp_pending_func_call = self.pending_func_call.copy()
self.pending_func_call = None
func_name = cp_pending_func_call['name']
arguments = {}
try:
try:
arguments = json.loads(cp_pending_func_call['arguments'])
# 若不是json格式的异常处理
except json.decoder.JSONDecodeError:
# 获取函数的参数列表
func_schema = get_func_schema(func_name)
arguments = {
func_schema['parameters']['required'][0]: cp_pending_func_call['arguments']
}
# 执行函数调用
ret = execute_function(func_name, arguments)
self.append_message(
role="function",
content=json.dumps(ret),
name=func_name
)
return {
"id": -1,
"choices": [
{
"index": -1,
"message": {
"role": "function",
"type": "function_return",
"function_name": func_name,
"content": json.dumps(ret)
},
"finish_reason": "function_return"
}
],
"usage": {
"prompt_tokens": 0,
"completion_tokens": 0,
"total_tokens": 0
}
}
except ContentFunctionNotFoundError:
raise Exception("没有找到函数: {}".format(func_name))