import random, string, time, re
from ..typing import Union, Iterator, Messages
from ..stubs import ChatCompletion, ChatCompletionChunk
from .core.engine import LocalProvider
from .core.models import models
IterResponse = Iterator[Union[ChatCompletion, ChatCompletionChunk]]
def read_json(text: str) -> dict:
match = re.search(r"```(json|)\n(?P<code>[\S\s]+?)\n```", text)
if match:
return match.group("code")
return text
def iter_response(
response: Iterator[str],
stream: bool,
response_format: dict = None,
max_tokens: int = None,
stop: list = None
) -> IterResponse:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
for idx, chunk in enumerate(response):
content += str(chunk)
if max_tokens is not None and idx + 1 >= max_tokens:
finish_reason = "length"
first = -1
word = None
if stop is not None:
for word in list(stop):
first = content.find(word)
if first != -1:
content = content[:first]
break
if stream and first != -1:
first = chunk.find(word)
if first != -1:
chunk = chunk[:first]
else:
first = 0
if first != -1:
finish_reason = "stop"
if stream:
yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
if finish_reason is not None:
break
finish_reason = "stop" if finish_reason is None else finish_reason
if stream:
yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
else:
if response_format is not None and "type" in response_format:
if response_format["type"] == "json_object":
content = read_json(content)
yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
def filter_none(**kwargs):
for key in list(kwargs.keys()):
if kwargs[key] is None:
del kwargs[key]
return kwargs
class LocalClient():
def __init__(
self,
**kwargs
) -> None:
self.chat: Chat = Chat(self)
@staticmethod
def list_models():
return list(models.keys())
class Completions():
def __init__(self, client: LocalClient):
self.client: LocalClient = client
def create(
self,
messages: Messages,
model: str,
stream: bool = False,
response_format: dict = None,
max_tokens: int = None,
stop: Union[list[str], str] = None,
**kwargs
) -> Union[ChatCompletion, Iterator[ChatCompletionChunk]]:
stop = [stop] if isinstance(stop, str) else stop
response = LocalProvider.create_completion(
model, messages, stream,
**filter_none(
max_tokens=max_tokens,
stop=stop,
),
**kwargs
)
response = iter_response(response, stream, response_format, max_tokens, stop)
return response if stream else next(response)
class Chat():
completions: Completions
def __init__(self, client: LocalClient):
self.completions = Completions(client)
