chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,334 @@
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import importlib.resources
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import json
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import tempfile
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from copy import deepcopy
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from enum import Enum
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from pathlib import Path
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from typing import Any, Literal, Optional, Union
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from unittest.mock import MagicMock, patch
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import httpx
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import pytest
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from huggingface_hub import get_token
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from gradio_client import utils
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types = json.loads(importlib.resources.read_text("gradio_client", "types.json"))
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types["MultipleFile"] = {
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"type": "array",
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"items": {"type": "string", "description": "filepath or URL to file"},
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}
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types["SingleFile"] = {"type": "string", "description": "filepath or URL to file"}
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types["FileWithAdditionalProperties"] = {"type": "object", "additionalProperties": True}
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HF_TOKEN = get_token()
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class TestEnum(Enum):
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VALUE1 = "option1"
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VALUE2 = "option2"
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VALUE3 = 42
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def test_encode_url_or_file_to_base64(media_data):
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output_base64 = utils.encode_url_or_file_to_base64(
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Path(__file__).parents[3] / "gradio" / "test_data" / "test_image.png"
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)
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assert output_base64 == deepcopy(media_data.BASE64_IMAGE)
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def test_encode_file_to_base64(media_data):
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output_base64 = utils.encode_file_to_base64(
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Path(__file__).parents[3] / "gradio" / "test_data" / "test_image.png"
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)
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assert output_base64 == deepcopy(media_data.BASE64_IMAGE)
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@pytest.mark.flaky
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def test_encode_url_to_base64(media_data):
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output_base64 = utils.encode_url_to_base64(
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"https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/test_image.png"
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)
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assert output_base64 == deepcopy(media_data.BASE64_IMAGE)
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def test_encode_url_to_base64_doesnt_encode_errors(monkeypatch):
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request = httpx.Request("GET", "https://example.com/foo")
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error_response = httpx.Response(status_code=404, request=request)
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monkeypatch.setattr(httpx, "get", lambda *args, **kwargs: error_response)
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with pytest.raises(httpx.HTTPStatusError):
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utils.encode_url_to_base64("https://example.com/foo")
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def test_decode_base64_to_binary(media_data):
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binary = utils.decode_base64_to_binary(deepcopy(media_data.BASE64_IMAGE))
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assert deepcopy(media_data.BINARY_IMAGE) == binary
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b64_img_without_header = deepcopy(media_data.BASE64_IMAGE).split(",")[1]
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binary_without_header, extension = utils.decode_base64_to_binary(
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b64_img_without_header
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)
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assert binary[0] == binary_without_header
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assert extension is None
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def test_decode_base64_to_file(media_data):
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temp_file = utils.decode_base64_to_file(deepcopy(media_data.BASE64_IMAGE))
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assert isinstance(temp_file, tempfile._TemporaryFileWrapper)
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@pytest.mark.parametrize(
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"path_or_url, file_types, expected_result",
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[
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("/home/user/documents/example.pdf", [".json", "text", ".mp3", ".pdf"], True),
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("C:\\Users\\user\\documents\\example.png", [".png"], True),
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("C:\\Users\\user\\documents\\example.png", ["image"], True),
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("C:\\Users\\user\\documents\\example.png", ["file"], True),
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("/home/user/documents/example.pdf", [".json", "text", ".mp3"], False),
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("https://example.com/avatar/xxxx.mp4", ["audio", ".png", ".jpg"], False),
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# WebP support - case insensitive
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("/home/user/images/photo.webp", ["image"], True),
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("/home/user/images/photo.WEBP", ["image"], True),
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("/home/user/images/photo.WebP", ["image"], True),
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("C:\\Users\\user\\images\\photo.webp", ["image", "video"], True),
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("C:\\Users\\user\\images\\photo.WEBP", ["image", "video"], True),
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],
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)
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def test_is_valid_file_type(path_or_url, file_types, expected_result):
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assert utils.is_valid_file(path_or_url, file_types) is expected_result
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@pytest.mark.parametrize(
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"filename, expected_mimetype",
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[
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("photo.webp", "image/webp"),
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("photo.WEBP", "image/webp"),
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("photo.WebP", "image/webp"),
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("video.vtt", "text/vtt"),
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("video.VTT", "text/vtt"),
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("image.png", "image/png"),
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],
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)
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def test_get_mimetype(filename, expected_mimetype):
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assert utils.get_mimetype(filename) == expected_mimetype
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@pytest.mark.parametrize(
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"orig_filename, new_filename",
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[
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("abc", "abc"),
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("$$AAabc&3", "AAabc&3"),
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("$$AAa&..b-c3_", "AAa&..b-c3_"),
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("#.txt", "#.txt"),
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("###.pdf", "###.pdf"),
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("@!$.csv", "@.csv"),
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("a#.txt", "a#.txt"),
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# Path traversal characters are stripped
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("a/b\\c.txt", "abc.txt"),
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('a<b>c:"d.txt', "abcd.txt"),
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("a\x00b.txt", "ab.txt"),
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# Shell-dangerous characters ($, !, {, }) are stripped; parentheses and brackets preserved
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("[{(Hunting's Shadowsl!)}].epub", "[(Hunting's Shadowsl)].epub"),
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("l!)}]test[{(.txt", "l)]test[(.txt"),
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(
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"ゆかりです。私、こんなかわいい服は初めて着ました…。なんだかうれしくって、楽しいです。歌いたくなる気分って、初めてです。これがアイドルってことなのかもしれませんね",
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"ゆかりです。私、こんなかわいい服は初めて着ました…。なんだかうれしくって、楽しいです。歌いたくなる気分って、初めてです。これがアイト",
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),
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(
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"Bringing-computational-thinking-into-classrooms-a-systematic-review-on-supporting-teachers-in-integrating-computational-thinking-into-K12-classrooms_2024_Springer-Science-and-Business-Media-Deutschland-GmbH.pdf",
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"Bringing-computational-thinking-into-classrooms-a-systematic-review-on-supporting-teachers-in-integrating-computational-thinking-into-K12-classrooms_2024_Springer-Science-and-Business-Media-Deutsc.pdf",
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),
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],
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)
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def test_strip_invalid_filename_characters(orig_filename, new_filename):
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assert utils.strip_invalid_filename_characters(orig_filename) == new_filename
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class AsyncMock(MagicMock):
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async def __call__(self, *args, **kwargs):
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return super().__call__(*args, **kwargs)
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@patch("httpx.post")
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def test_sleep_successful(mock_post):
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utils.set_space_timeout("gradio/calculator")
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@patch(
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"httpx.post",
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side_effect=httpx.HTTPStatusError("error", request=None, response=None),
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)
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def test_sleep_unsuccessful(mock_post):
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with pytest.raises(utils.SpaceDuplicationError):
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utils.set_space_timeout("gradio/calculator")
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@pytest.mark.parametrize("schema", types)
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def test_json_schema_to_python_type(schema):
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if schema == "SimpleSerializable":
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answer = "Any"
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elif schema == "StringSerializable":
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answer = "str"
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elif schema == "ListStringSerializable":
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answer = "list[str]"
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elif schema == "BooleanSerializable":
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answer = "bool"
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elif schema == "NumberSerializable":
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answer = "float"
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elif schema == "ImgSerializable":
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answer = "str"
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elif schema == "FileSerializable":
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answer = "str | dict(name: str (name of file), data: str (base64 representation of file), size: int (size of image in bytes), is_file: bool (true if the file has been uploaded to the server), orig_name: str (original name of the file)) | list[str | dict(name: str (name of file), data: str (base64 representation of file), size: int (size of image in bytes), is_file: bool (true if the file has been uploaded to the server), orig_name: str (original name of the file))]"
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elif schema == "JSONSerializable":
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answer = "str | float | bool | list | dict"
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elif schema == "GallerySerializable":
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answer = "tuple[dict(name: str (name of file), data: str (base64 representation of file), size: int (size of image in bytes), is_file: bool (true if the file has been uploaded to the server), orig_name: str (original name of the file)), str | None]"
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elif schema == "SingleFileSerializable":
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answer = "str | dict(name: str (name of file), data: str (base64 representation of file), size: int (size of image in bytes), is_file: bool (true if the file has been uploaded to the server), orig_name: str (original name of the file))"
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elif schema == "MultipleFileSerializable":
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answer = "list[str | dict(name: str (name of file), data: str (base64 representation of file), size: int (size of image in bytes), is_file: bool (true if the file has been uploaded to the server), orig_name: str (original name of the file))]"
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elif schema == "SingleFile":
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answer = "str"
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elif schema == "MultipleFile":
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answer = "list[str]"
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elif schema == "FileWithAdditionalProperties":
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answer = "dict(str, Any)"
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else:
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raise ValueError(f"This test has not been modified to check {schema}")
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assert utils.json_schema_to_python_type(types[schema]) == answer
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@pytest.mark.parametrize(
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"type_hint, expected_schema",
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[
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(str, {"type": "string"}),
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(int, {"type": "integer"}),
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(float, {"type": "number"}),
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(bool, {"type": "boolean"}),
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(type(None), {"type": "null"}),
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(Any, {}),
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(Union[str, int], {"anyOf": [{"type": "string"}, {"type": "integer"}]}),
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(Optional[str], {"oneOf": [{"type": "null"}, {"type": "string"}]}),
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(str | None, {"oneOf": [{"type": "null"}, {"type": "string"}]}),
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(dict, {"type": "object", "additionalProperties": {}}),
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(list, {"type": "array", "items": {}}),
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(tuple, {"type": "array"}),
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(set, {"type": "array", "uniqueItems": True}),
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(frozenset, {"type": "array", "uniqueItems": True}),
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(bytes, {"type": "string", "format": "byte"}),
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(bytearray, {"type": "string", "format": "byte"}),
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(TestEnum, {"enum": ["option1", "option2", 42]}),
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],
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)
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def test_python_type_to_json_schema(type_hint, expected_schema):
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schema = utils.python_type_to_json_schema(type_hint)
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assert schema == expected_schema
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@pytest.mark.parametrize(
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"type_hint, expected_schema",
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[
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(tuple[int, ...], {"type": "array", "items": {"type": "integer"}}),
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(
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tuple[str, int],
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{
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"type": "array",
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"prefixItems": [{"type": "string"}, {"type": "integer"}],
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"minItems": 2,
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"maxItems": 2,
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},
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),
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(set[str], {"type": "array", "uniqueItems": True, "items": {"type": "string"}}),
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(
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list[str | None],
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{
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"type": "array",
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"items": {"oneOf": [{"type": "null"}, {"type": "string"}]},
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},
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),
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(Literal["a", "b", "c"], {"enum": ["a", "b", "c"]}),
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(Literal["single"], {"const": "single"}),
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],
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)
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def test_python_type_to_json_schema_complex_nested_types(type_hint, expected_schema):
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assert utils.python_type_to_json_schema(type_hint) == expected_schema
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class TestConstructArgs:
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def test_no_parameters_empty_args(self):
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assert utils.construct_args(None, (), {}) == []
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def test_no_parameters_with_args(self):
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assert utils.construct_args(None, (1, 2), {}) == [1, 2]
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def test_no_parameters_with_kwargs(self):
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with pytest.raises(
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ValueError, match="This endpoint does not support key-word arguments"
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):
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utils.construct_args(None, (), {"a": 1})
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def test_parameters_no_args_kwargs(self):
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parameters_info = [
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{
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"label": "param1",
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"parameter_name": "a",
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"parameter_has_default": True,
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"parameter_default": 10,
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}
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]
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assert utils.construct_args(parameters_info, (), {"a": 1}) == [1]
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def test_parameters_with_args_no_kwargs(self):
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parameters_info = [{"label": "param1", "parameter_name": "a"}]
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assert utils.construct_args(parameters_info, (1,), {}) == [1]
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def test_parameter_with_default_no_args_no_kwargs(self):
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parameters_info = [
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{"label": "param1", "parameter_has_default": True, "parameter_default": 10}
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]
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assert utils.construct_args(parameters_info, (), {}) == [10]
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def test_args_filled_parameters_with_defaults(self):
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parameters_info = [
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{"label": "param1", "parameter_has_default": True, "parameter_default": 10},
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{"label": "param2", "parameter_has_default": True, "parameter_default": 20},
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]
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assert utils.construct_args(parameters_info, (1,), {}) == [1, 20]
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def test_kwargs_filled_parameters_with_defaults(self):
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parameters_info = [
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{
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"label": "param1",
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"parameter_name": "a",
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"parameter_has_default": True,
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"parameter_default": 10,
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},
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{
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"label": "param2",
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"parameter_name": "b",
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"parameter_has_default": True,
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"parameter_default": 20,
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},
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]
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assert utils.construct_args(parameters_info, (), {"a": 1, "b": 2}) == [1, 2]
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def test_positional_arg_and_kwarg_for_same_parameter(self):
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parameters_info = [{"label": "param1", "parameter_name": "a"}]
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with pytest.raises(
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TypeError, match="Parameter `a` is already set as a positional argument."
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):
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utils.construct_args(parameters_info, (1,), {"a": 2})
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def test_invalid_kwarg(self):
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parameters_info = [{"label": "param1", "parameter_name": "a"}]
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with pytest.raises(
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TypeError, match="Parameter `b` is not a valid key-word argument."
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):
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utils.construct_args(parameters_info, (), {"b": 1})
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def test_required_arg_missing(self):
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parameters_info = [{"label": "param1", "parameter_name": "a"}]
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with pytest.raises(
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TypeError, match="No value provided for required argument: a"
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):
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utils.construct_args(parameters_info, (), {})
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