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from collections.abc import Generator |
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import google.generativeai.types.generation_types as generation_config_types |
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import pytest |
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from _pytest.monkeypatch import MonkeyPatch |
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from google.ai import generativelanguage as glm |
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from google.ai.generativelanguage_v1beta.types import content as gag_content |
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from google.generativeai import GenerativeModel |
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from google.generativeai.client import _ClientManager, configure |
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from google.generativeai.types import GenerateContentResponse, content_types, safety_types |
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from google.generativeai.types.generation_types import BaseGenerateContentResponse |
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current_api_key = "" |
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class MockGoogleResponseClass: |
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_done = False |
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def __iter__(self): |
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full_response_text = "it's google!" |
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for i in range(0, len(full_response_text) + 1, 1): |
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if i == len(full_response_text): |
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self._done = True |
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yield GenerateContentResponse( |
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done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[] |
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) |
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else: |
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yield GenerateContentResponse( |
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done=False, iterator=None, result=glm.GenerateContentResponse({}), chunks=[] |
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) |
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class MockGoogleResponseCandidateClass: |
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finish_reason = "stop" |
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@property |
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def content(self) -> gag_content.Content: |
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return gag_content.Content(parts=[gag_content.Part(text="it's google!")]) |
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class MockGoogleClass: |
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@staticmethod |
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def generate_content_sync() -> GenerateContentResponse: |
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return GenerateContentResponse(done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[]) |
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@staticmethod |
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def generate_content_stream() -> Generator[GenerateContentResponse, None, None]: |
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return MockGoogleResponseClass() |
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def generate_content( |
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self: GenerativeModel, |
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contents: content_types.ContentsType, |
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*, |
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generation_config: generation_config_types.GenerationConfigType | None = None, |
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safety_settings: safety_types.SafetySettingOptions | None = None, |
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stream: bool = False, |
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**kwargs, |
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) -> GenerateContentResponse: |
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global current_api_key |
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if len(current_api_key) < 16: |
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raise Exception("Invalid API key") |
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if stream: |
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return MockGoogleClass.generate_content_stream() |
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return MockGoogleClass.generate_content_sync() |
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@property |
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def generative_response_text(self) -> str: |
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return "it's google!" |
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@property |
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def generative_response_candidates(self) -> list[MockGoogleResponseCandidateClass]: |
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return [MockGoogleResponseCandidateClass()] |
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def make_client(self: _ClientManager, name: str): |
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global current_api_key |
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if name.endswith("_async"): |
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name = name.split("_")[0] |
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cls = getattr(glm, name.title() + "ServiceAsyncClient") |
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else: |
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cls = getattr(glm, name.title() + "ServiceClient") |
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if not self.client_config: |
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configure() |
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client_options = self.client_config.get("client_options", None) |
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if client_options: |
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current_api_key = client_options.api_key |
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def nop(self, *args, **kwargs): |
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pass |
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original_init = cls.__init__ |
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cls.__init__ = nop |
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client: glm.GenerativeServiceClient = cls(**self.client_config) |
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cls.__init__ = original_init |
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if not self.default_metadata: |
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return client |
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@pytest.fixture |
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def setup_google_mock(request, monkeypatch: MonkeyPatch): |
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monkeypatch.setattr(BaseGenerateContentResponse, "text", MockGoogleClass.generative_response_text) |
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monkeypatch.setattr(BaseGenerateContentResponse, "candidates", MockGoogleClass.generative_response_candidates) |
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monkeypatch.setattr(GenerativeModel, "generate_content", MockGoogleClass.generate_content) |
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monkeypatch.setattr(_ClientManager, "make_client", MockGoogleClass.make_client) |
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yield |
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monkeypatch.undo() |
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