diff --git a/generate/chat_completion/message/core.py b/generate/chat_completion/message/core.py index 674fc83..698f283 100644 --- a/generate/chat_completion/message/core.py +++ b/generate/chat_completion/message/core.py @@ -1,8 +1,13 @@ from __future__ import annotations +import mimetypes +from pathlib import Path from typing import Any, Dict, List, Literal, Optional, Sequence, Union from pydantic import BaseModel, TypeAdapter +from typing_extensions import Self + +from generate.utils import fetch_data class Message(BaseModel): @@ -38,6 +43,14 @@ class ImagePart(BaseModel): image: bytes image_format: Optional[str] = None + @classmethod + def from_url_or_path(cls, url_or_path: str | Path) -> Self: + image_data = fetch_data(str(url_or_path)) + mimetype = mimetypes.guess_type(url=str(url_or_path))[0] + if mimetype is not None: + image_format = mimetype.split('/')[1] + return cls(image=image_data, image_format=image_format) + class UserMultiPartMessage(Message): role: Literal['user'] = 'user' diff --git a/generate/chat_completion/models/anthropic.py b/generate/chat_completion/models/anthropic.py index b5d623e..8ebfdf6 100644 --- a/generate/chat_completion/models/anthropic.py +++ b/generate/chat_completion/models/anthropic.py @@ -56,7 +56,13 @@ class AnthropicParametersDict(RemoteModelParametersDict, total=False): class AnthropicChat(RemoteChatCompletionModel): model_type: ClassVar[str] = 'anthropic' - available_models: ClassVar[List[str]] = ['claude-2.1', 'claude-2.0', 'claude-instant-1.2'] + available_models: ClassVar[List[str]] = [ + 'claude-2.1', + 'claude-2.0', + 'claude-instant-1.2', + 'claude-3-opus-20240229', + 'claude-3-sonnet-20240229', + ] parameters: AnthropicChatParameters settings: AnthropicSettings @@ -107,7 +113,7 @@ def _convert_message(self, message: Message) -> dict[str, str]: if isinstance(part, ImagePart): data = base64.b64encode(part.image).decode() - media_type = part.image_format or 'image/jpeg' + media_type = 'image/jpeg' if part.image_format is None else f'image/{part.image_format}' message_dict['content'].append( {'type': 'image', 'source': {'type': 'base64', 'media_type': media_type, 'data': data}} ) diff --git a/generate/image_generation/models/baidu.py b/generate/image_generation/models/baidu.py index 6e93825..7bda46c 100644 --- a/generate/image_generation/models/baidu.py +++ b/generate/image_generation/models/baidu.py @@ -43,7 +43,7 @@ def custom_model_dump(self) -> dict[str, Any]: n = self.n or 1 output_data['image_num'] = n if self.reference_image: - if isinstance(self.reference_image, HttpUrl): + if isinstance(self.reference_image, str): output_data['url'] = self.reference_image else: output_data['image'] = self.reference_image diff --git a/generate/ui.py b/generate/ui.py index 0650c16..426e7de 100644 --- a/generate/ui.py +++ b/generate/ui.py @@ -1,10 +1,12 @@ from __future__ import annotations -from typing import Any, List, Optional, cast +from typing import Any, List, Optional, Type, cast from pydantic import BaseModel +from generate.chat_completion.base import RemoteChatCompletionModel from generate.chat_completion.models.dashscope_multimodal import DashScopeMultiModalChat +from generate.model import ModelInfo try: import chainlit as cl @@ -14,7 +16,7 @@ except ImportError as e: raise ImportError('Please install chainlit with "pip install chainlit typer"') from e -from generate import ChatCompletionModel, load_chat_model +from generate import ChatCompletionModel, ChatModelRegistry, load_chat_model from generate.chat_completion.message import ( ImagePart, ImageUrl, @@ -64,26 +66,24 @@ def get_avatars() -> List[Avatar]: def get_generate_settings() -> List[Any]: + available_model_ids = [] + for model_cls, _ in ChatModelRegistry.values(): + model_cls = cast(Type[RemoteChatCompletionModel], model_cls) + for model_name in model_cls.available_models: + model_info = ModelInfo( + task=model_cls.model_task, + type=model_cls.model_type, + name=model_name, + ) + available_model_ids.append(model_info.model_id) model_select = Select( id='Model', label='Model', - values=[ - 'openai', - 'openai/gpt-4-vision-preview', - 'dashscope', - 'dashscope_multimodal', - 'zhipu', - 'zhipu/glm-4v', - 'wenxin', - 'baichuan', - 'minimax_pro', - 'moonshot', - 'deepseek', - ], + values=available_model_ids, ) model_id = TextInput( id='ModelId', - label='Model ID', + label='Custom Model ID', initial='', description='如 openai/gpt-4-turbo-preview，此设置会覆盖 Model 选项。', ) diff --git a/generate/utils.py b/generate/utils.py index d7d5fa8..0776a10 100644 --- a/generate/utils.py +++ b/generate/utils.py @@ -1,7 +1,9 @@ from __future__ import annotations import asyncio +from pathlib import Path from typing import Any, AsyncIterator, Awaitable, Generator, Generic, Iterable, TypeVar +from urllib.parse import urlparse from generate.types import OrIterable @@ -60,3 +62,23 @@ def unwrap_model(model: Any) -> Any: return unwrap_model(model.model) return model return model + + +def fetch_data(url_or_file: str) -> bytes: + parsed_url = urlparse(url_or_file) + if not parsed_url.scheme and Path(url_or_file).exists(): + return Path(url_or_file).read_bytes() + + if parsed_url.scheme == 'file': + if Path(parsed_url.path).exists(): + return Path(parsed_url.path).read_bytes() + raise FileNotFoundError(f'File {parsed_url.path} not found') + + if parsed_url.scheme in ('http', 'https'): + import httpx + + response = httpx.get(url_or_file) + response.raise_for_status() + return response.content + + raise ValueError(f'Unsupported URL scheme {parsed_url.scheme}') diff --git a/poetry.lock b/poetry.lock index 721f1e2..47d0fb5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. [[package]] name = "aiofiles" @@ -135,19 +135,19 @@ frozenlist = ">=1.1.0" [[package]] name = "alibabacloud-bailian20230601" -version = "1.2.0" +version = "1.6.1" description = "Alibaba Cloud bailian (20230601) SDK Library for Python" optional = false python-versions = ">=3.6" files = [ - {file = "alibabacloud_bailian20230601-1.2.0-py3-none-any.whl", hash = "sha256:296ca908d33d6ff64871d21b4fa3cad0748950be4cd2e2d1df53f73216f4b21e"}, - {file = "alibabacloud_bailian20230601-1.2.0.tar.gz", hash = "sha256:d2e8cbc67bb98407e2d115aa97fc68020f78eb9aeaecc0f17f21e8be88dce9b3"}, + {file = "alibabacloud_bailian20230601-1.6.1-py3-none-any.whl", hash = "sha256:23e774441c835b0ce91262f132cb6f8f09486d6398b6080480f39eaed571c328"}, + {file = "alibabacloud_bailian20230601-1.6.1.tar.gz", hash = "sha256:a0a8953b603a53722e74493bbdcf36ef682be6f76fab291219cfd925dc04673d"}, ] [package.dependencies] alibabacloud-endpoint-util = ">=0.0.3,<1.0.0" alibabacloud-openapi-util = ">=0.2.1,<1.0.0" 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49d684b..375a55e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,8 +20,7 @@ cachetools = "^5.3.1" tqdm = "^4.66.1" pydantic = "^2.0" docstring-parser = "^0.15" -anyio = "<4.0.0" -httpx-sse = "0.3.1" +httpx-sse = "^0.4.0" pydantic-settings = "^2.1.0" [tool.ruff] @@ -69,6 +68,7 @@ pyright = "^1.1.310" ruff = "^0.1.4" coverage = "^7.3.2" mkdocs-material = "^9.5.12" +pytest-mock = "^3.12.0" [tool.poetry.group.bailian.dependencies] broadscope-bailian = "^1.1.8" diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 0000000..3b5f321 --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,47 @@ +from pathlib import Path +from unittest.mock import MagicMock + +import httpx +import pytest +from pytest_mock import MockerFixture + +from generate.utils import fetch_data + + +def test_fetch_data_local_file_exists(tmp_path: Path) -> None: + file_path = tmp_path / 'test.txt' + file_path.write_text('Test data') + + data = fetch_data(str(file_path)) + + assert data == b'Test data' + + +def test_fetch_data_local_file_not_found() -> None: + with pytest.raises(FileNotFoundError): + fetch_data('file:///path/to/nonexistent/file.txt') + + +def test_fetch_data_http(mocker: MockerFixture) -> None: + mock_httpx_get = mocker.patch('httpx.get') + mock_httpx_get.return_value = MagicMock(content=b'Test data') + + data = fetch_data('http://example.com/test.txt') + + assert data == b'Test data' + mock_httpx_get.assert_called_once_with('http://example.com/test.txt') + + +def test_fetch_data_https(mocker: MockerFixture) -> None: + mocker.patch('httpx.get') + httpx.get.return_value = MagicMock(content=b'Test data') + + data = fetch_data('https://example.com/test.txt') + + assert data == b'Test data' + httpx.get.assert_called_once_with('https://example.com/test.txt') + + +def test_fetch_data_unsupported_scheme() -> None: + with pytest.raises(ValueError, match='Unsupported URL scheme ftp'): + fetch_data('ftp://example.com/test.txt')