summaryrefslogtreecommitdiffstats
diff options
context:
space:
mode:
Diffstat (limited to '')
-rw-r--r--etc/unittest/asyncio.py10
-rw-r--r--etc/unittest/client.py54
-rw-r--r--etc/unittest/mocks.py19
-rw-r--r--g4f/Provider/base_provider.py23
-rw-r--r--g4f/Provider/needs_auth/OpenaiChat.py2
-rw-r--r--g4f/client.py151
-rw-r--r--g4f/stubs.py44
7 files changed, 170 insertions, 133 deletions
diff --git a/etc/unittest/asyncio.py b/etc/unittest/asyncio.py
index e886c43a..57a1fb7d 100644
--- a/etc/unittest/asyncio.py
+++ b/etc/unittest/asyncio.py
@@ -8,6 +8,7 @@ import unittest
import g4f
from g4f import ChatCompletion
+from g4f.client import Client
from .mocks import ProviderMock, AsyncProviderMock, AsyncGeneratorProviderMock
DEFAULT_MESSAGES = [{'role': 'user', 'content': 'Hello'}]
@@ -24,11 +25,16 @@ class TestChatCompletion(unittest.TestCase):
def test_create(self):
result = ChatCompletion.create(g4f.models.default, DEFAULT_MESSAGES, AsyncProviderMock)
- self.assertEqual("Mock",result)
+ self.assertEqual("Mock", result)
def test_create_generator(self):
result = ChatCompletion.create(g4f.models.default, DEFAULT_MESSAGES, AsyncGeneratorProviderMock)
- self.assertEqual("Mock",result)
+ self.assertEqual("Mock", result)
+
+ def test_await_callback(self):
+ client = Client(provider=AsyncGeneratorProviderMock)
+ response = client.chat.completions.create(DEFAULT_MESSAGES, "", max_tokens=0)
+ self.assertEqual("Mock", response.choices[0].message.content)
class TestChatCompletionAsync(unittest.IsolatedAsyncioTestCase):
diff --git a/etc/unittest/client.py b/etc/unittest/client.py
new file mode 100644
index 00000000..c63edbd2
--- /dev/null
+++ b/etc/unittest/client.py
@@ -0,0 +1,54 @@
+import unittest
+
+from g4f.client import Client, ChatCompletion, ChatCompletionChunk
+from .mocks import AsyncGeneratorProviderMock, ModelProviderMock, YieldProviderMock
+
+DEFAULT_MESSAGES = [{'role': 'user', 'content': 'Hello'}]
+
+class TestPassModel(unittest.TestCase):
+
+ def test_response(self):
+ client = Client(provider=AsyncGeneratorProviderMock)
+ response = client.chat.completions.create(DEFAULT_MESSAGES, "")
+ self.assertIsInstance(response, ChatCompletion)
+ self.assertEqual("Mock", response.choices[0].message.content)
+
+ def test_pass_model(self):
+ client = Client(provider=ModelProviderMock)
+ response = client.chat.completions.create(DEFAULT_MESSAGES, "Hello")
+ self.assertIsInstance(response, ChatCompletion)
+ self.assertEqual("Hello", response.choices[0].message.content)
+
+ def test_max_tokens(self):
+ client = Client(provider=YieldProviderMock)
+ messages = [{'role': 'user', 'content': chunk} for chunk in ["How ", "are ", "you", "?"]]
+ response = client.chat.completions.create(messages, "Hello", max_tokens=1)
+ self.assertIsInstance(response, ChatCompletion)
+ self.assertEqual("How ", response.choices[0].message.content)
+ response = client.chat.completions.create(messages, "Hello", max_tokens=2)
+ self.assertIsInstance(response, ChatCompletion)
+ self.assertEqual("How are ", response.choices[0].message.content)
+
+ def test_max_stream(self):
+ client = Client(provider=YieldProviderMock)
+ messages = [{'role': 'user', 'content': chunk} for chunk in ["How ", "are ", "you", "?"]]
+ response = client.chat.completions.create(messages, "Hello", stream=True)
+ for chunk in response:
+ self.assertIsInstance(chunk, ChatCompletionChunk)
+ self.assertIsInstance(chunk.choices[0].delta.content, str)
+ messages = [{'role': 'user', 'content': chunk} for chunk in ["You ", "You ", "Other", "?"]]
+ response = client.chat.completions.create(messages, "Hello", stream=True, max_tokens=2)
+ response = list(response)
+ self.assertEqual(len(response), 2)
+ for chunk in response:
+ self.assertEqual(chunk.choices[0].delta.content, "You ")
+
+ def no_test_stop(self):
+ client = Client(provider=YieldProviderMock)
+ messages = [{'role': 'user', 'content': chunk} for chunk in ["How ", "are ", "you", "?"]]
+ response = client.chat.completions.create(messages, "Hello", stop=["and"])
+ self.assertIsInstance(response, ChatCompletion)
+ self.assertEqual("How are you?", response.choices[0].message.content)
+
+if __name__ == '__main__':
+ unittest.main() \ No newline at end of file
diff --git a/etc/unittest/mocks.py b/etc/unittest/mocks.py
index 885bdaee..8a67aaf7 100644
--- a/etc/unittest/mocks.py
+++ b/etc/unittest/mocks.py
@@ -7,10 +7,10 @@ class ProviderMock(AbstractProvider):
model, messages, stream, **kwargs
):
yield "Mock"
-
+
class AsyncProviderMock(AsyncProvider):
working = True
-
+
async def create_async(
model, messages, **kwargs
):
@@ -18,16 +18,25 @@ class AsyncProviderMock(AsyncProvider):
class AsyncGeneratorProviderMock(AsyncGeneratorProvider):
working = True
-
+
async def create_async_generator(
model, messages, stream, **kwargs
):
yield "Mock"
-
+
class ModelProviderMock(AbstractProvider):
working = True
def create_completion(
model, messages, stream, **kwargs
):
- yield model \ No newline at end of file
+ yield model
+
+class YieldProviderMock(AsyncGeneratorProvider):
+ working = True
+
+ async def create_async_generator(
+ model, messages, stream, **kwargs
+ ):
+ for message in messages:
+ yield message["content"] \ No newline at end of file
diff --git a/g4f/Provider/base_provider.py b/g4f/Provider/base_provider.py
index 4b312ffc..8659f506 100644
--- a/g4f/Provider/base_provider.py
+++ b/g4f/Provider/base_provider.py
@@ -196,15 +196,20 @@ class AsyncGeneratorProvider(AsyncProvider):
generator = cls.create_async_generator(model, messages, stream=stream, **kwargs)
gen = generator.__aiter__()
- while True:
- try:
- yield loop.run_until_complete(gen.__anext__())
- except StopAsyncIteration:
- break
-
- if new_loop:
- loop.close()
- asyncio.set_event_loop(None)
+ # Fix for RuntimeError: async generator ignored GeneratorExit
+ async def await_callback(callback):
+ return await callback()
+
+ try:
+ while True:
+ yield loop.run_until_complete(await_callback(gen.__anext__))
+ except StopAsyncIteration:
+ ...
+ # Fix for: ResourceWarning: unclosed event loop
+ finally:
+ if new_loop:
+ loop.close()
+ asyncio.set_event_loop(None)
@classmethod
async def create_async(
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index 9e0edd8a..b3577ad5 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -385,7 +385,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
}
) as response:
if not response.ok:
- raise RuntimeError(f"Response {response.status_code}: {await response.text()}")
+ raise RuntimeError(f"Response {response.status}: {await response.text()}")
last_message: int = 0
async for line in response.iter_lines():
if not line.startswith(b"data: "):
diff --git a/g4f/client.py b/g4f/client.py
index 03b0eda3..a1494d47 100644
--- a/g4f/client.py
+++ b/g4f/client.py
@@ -2,9 +2,9 @@ from __future__ import annotations
import re
-from .typing import Union, Generator, AsyncGenerator, Messages, ImageType
+from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
+from .typing import Union, Generator, Messages, ImageType
from .base_provider import BaseProvider, ProviderType
-from .Provider.base_provider import AsyncGeneratorProvider
from .image import ImageResponse as ImageProviderResponse
from .Provider import BingCreateImages, Gemini, OpenaiChat
from .errors import NoImageResponseError
@@ -36,14 +36,14 @@ def iter_response(
stop: list = None
) -> Generator:
content = ""
- idx = 1
- chunk = None
- finish_reason = "stop"
+ finish_reason = None
+ last_chunk = None
for idx, chunk in enumerate(response):
+ if last_chunk is not None:
+ yield ChatCompletionChunk(last_chunk, finish_reason)
content += str(chunk)
- if max_tokens is not None and idx > max_tokens:
+ if max_tokens is not None and idx + 1 >= max_tokens:
finish_reason = "max_tokens"
- break
first = -1
word = None
if stop is not None:
@@ -52,98 +52,30 @@ def iter_response(
if first != -1:
content = content[:first]
break
- if stream:
+ if stream and first != -1:
+ first = chunk.find(word)
if first != -1:
- first = chunk.find(word)
- if first != -1:
- chunk = chunk[:first]
- else:
- first = 0
- yield ChatCompletionChunk([ChatCompletionDeltaChoice(ChatCompletionDelta(chunk))])
+ chunk = chunk[:first]
+ else:
+ first = 0
if first != -1:
+ finish_reason = "stop"
+ if stream:
+ last_chunk = chunk
+ if finish_reason is not None:
break
+ if last_chunk is not None:
+ yield ChatCompletionChunk(last_chunk, finish_reason)
if not stream:
if response_format is not None and "type" in response_format:
if response_format["type"] == "json_object":
response = read_json(response)
- yield ChatCompletion([ChatCompletionChoice(ChatCompletionMessage(response, finish_reason))])
-
-async def aiter_response(
- response: aiter,
- stream: bool,
- response_format: dict = None,
- max_tokens: int = None,
- stop: list = None
-) -> AsyncGenerator:
- content = ""
- try:
- idx = 0
- chunk = None
- async for chunk in response:
- content += str(chunk)
- if max_tokens is not None and idx > max_tokens:
- break
- 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:
- if first != -1:
- first = chunk.find(word)
- if first != -1:
- chunk = chunk[:first]
- else:
- first = 0
- yield ChatCompletionChunk([ChatCompletionDeltaChoice(ChatCompletionDelta(chunk))])
- if first != -1:
- break
- idx += 1
- except:
- ...
- if not stream:
- if response_format is not None and "type" in response_format:
- if response_format["type"] == "json_object":
- response = read_json(response)
- yield ChatCompletion([ChatCompletionChoice(ChatCompletionMessage(response))])
-
-class Model():
- def __getitem__(self, item):
- return getattr(self, item)
-
-class ChatCompletion(Model):
- def __init__(self, choices: list):
- self.choices = choices
-
-class ChatCompletionChunk(Model):
- def __init__(self, choices: list):
- self.choices = choices
-
-class ChatCompletionChoice(Model):
- def __init__(self, message: ChatCompletionMessage):
- self.message = message
-
-class ChatCompletionMessage(Model):
- def __init__(self, content: str, finish_reason: str):
- self.content = content
- self.finish_reason = finish_reason
- self.index = 0
- self.logprobs = None
-
-class ChatCompletionDelta(Model):
- def __init__(self, content: str):
- self.content = content
-
-class ChatCompletionDeltaChoice(Model):
- def __init__(self, delta: ChatCompletionDelta):
- self.delta = delta
+ yield ChatCompletion(content, finish_reason)
class Client():
proxies: Proxies = None
chat: Chat
+ images: Images
def __init__(
self,
@@ -152,9 +84,9 @@ class Client():
proxies: Proxies = None,
**kwargs
) -> None:
- self.proxies: Proxies = proxies
- self.images = Images(self, image_provider)
self.chat = Chat(self, provider)
+ self.images = Images(self, image_provider)
+ self.proxies: Proxies = proxies
def get_proxy(self) -> Union[str, None]:
if isinstance(self.proxies, str) or self.proxies is None:
@@ -178,13 +110,13 @@ class Completions():
stream: bool = False,
response_format: dict = None,
max_tokens: int = None,
- stop: list = None,
+ stop: Union[list. str] = None,
**kwargs
- ) -> Union[dict, Generator]:
+ ) -> Union[ChatCompletion, Generator[ChatCompletionChunk]]:
if max_tokens is not None:
kwargs["max_tokens"] = max_tokens
if stop:
- kwargs["stop"] = list(stop)
+ kwargs["stop"] = stop
model, provider = get_model_and_provider(
model,
self.provider if provider is None else provider,
@@ -192,10 +124,8 @@ class Completions():
**kwargs
)
response = provider.create_completion(model, messages, stream=stream, **kwargs)
- if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
- response = iter_response(response, stream, response_format) # max_tokens, stop
- else:
- response = iter_response(response, stream, response_format, max_tokens, stop)
+ stop = [stop] if isinstance(stop, str) else stop
+ response = iter_response(response, stream, response_format, max_tokens, stop)
return response if stream else next(response)
class Chat():
@@ -203,7 +133,7 @@ class Chat():
def __init__(self, client: Client, provider: ProviderType = None):
self.completions = Completions(client, provider)
-
+
class ImageModels():
gemini = Gemini
openai = OpenaiChat
@@ -212,21 +142,9 @@ class ImageModels():
self.client = client
self.default = BingCreateImages(proxy=self.client.get_proxy())
- def get(self, name: str) -> ImageProvider:
- return getattr(self, name) if hasattr(self, name) else self.default
+ def get(self, name: str, default: ImageProvider = None) -> ImageProvider:
+ return getattr(self, name) if hasattr(self, name) else default or self.default
-class ImagesResponse(Model):
- data: list[Image]
-
- def __init__(self, data: list) -> None:
- self.data = data
-
-class Image(Model):
- url: str
-
- def __init__(self, url: str) -> None:
- self.url = url
-
class Images():
def __init__(self, client: Client, provider: ImageProvider = None):
self.client: Client = client
@@ -234,7 +152,7 @@ class Images():
self.models: ImageModels = ImageModels(client)
def generate(self, prompt, model: str = None, **kwargs):
- provider = self.models.get(model) if model else self.provider or self.models.get(model)
+ provider = self.models.get(model, self.provider)
if isinstance(provider, BaseProvider) or isinstance(provider, type) and issubclass(provider, BaseProvider):
prompt = f"create a image: {prompt}"
response = provider.create_completion(
@@ -246,14 +164,15 @@ class Images():
)
else:
response = provider.create(prompt)
-
+
for chunk in response:
if isinstance(chunk, ImageProviderResponse):
- return ImagesResponse([Image(image)for image in list(chunk.images)])
+ images = [chunk.images] if isinstance(chunk.images, str) else chunk.images
+ return ImagesResponse([Image(image) for image in images])
raise NoImageResponseError()
def create_variation(self, image: ImageType, model: str = None, **kwargs):
- provider = self.models.get(model) if model else self.provider
+ provider = self.models.get(model, self.provider)
result = None
if isinstance(provider, type) and issubclass(provider, BaseProvider):
response = provider.create_completion(
diff --git a/g4f/stubs.py b/g4f/stubs.py
new file mode 100644
index 00000000..1cbbb134
--- /dev/null
+++ b/g4f/stubs.py
@@ -0,0 +1,44 @@
+
+from __future__ import annotations
+
+class Model():
+ def __getitem__(self, item):
+ return getattr(self, item)
+
+class ChatCompletion(Model):
+ def __init__(self, content: str, finish_reason: str):
+ self.choices = [ChatCompletionChoice(ChatCompletionMessage(content, finish_reason))]
+
+class ChatCompletionChunk(Model):
+ def __init__(self, content: str, finish_reason: str):
+ self.choices = [ChatCompletionDeltaChoice(ChatCompletionDelta(content, finish_reason))]
+
+class ChatCompletionMessage(Model):
+ def __init__(self, content: str, finish_reason: str):
+ self.content = content
+ self.finish_reason = finish_reason
+
+class ChatCompletionChoice(Model):
+ def __init__(self, message: ChatCompletionMessage):
+ self.message = message
+
+class ChatCompletionDelta(Model):
+ def __init__(self, content: str, finish_reason: str):
+ self.content = content
+ self.finish_reason = finish_reason
+
+class ChatCompletionDeltaChoice(Model):
+ def __init__(self, delta: ChatCompletionDelta):
+ self.delta = delta
+
+class Image(Model):
+ url: str
+
+ def __init__(self, url: str) -> None:
+ self.url = url
+
+class ImagesResponse(Model):
+ data: list[Image]
+
+ def __init__(self, data: list) -> None:
+ self.data = data \ No newline at end of file