mirror of
https://github.com/AstrBotDevs/AstrBot
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dcaaf6286a
- Add 100+ new test files covering provider sources, platform adapters, agent runners, star/plugin system, knowledge base, core utils, pipeline, computer tools, builtin commands, and dashboard routes - Fix Python type errors in sqlite.py (col() wrappers for SQLModel), astr_agent_tool_exec, core_lifecycle, star context/manager - Fix TypeScript strict mode errors across 30+ dashboard Vue files - Add import smoke tests, auth roundtrip, startup tests - Add compile-all check and CLI entry test for AUR compatibility - Restore BotMessageAccumulator and helpers lost in merge
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""Smoke tests for ProviderGoogleGenAI."""
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import pytest
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from unittest.mock import patch, MagicMock
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from astrbot.core.exceptions import EmptyModelOutputError
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from astrbot.core.provider.entities import LLMResponse
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from astrbot.core.provider.sources.gemini_source import (
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ProviderGoogleGenAI,
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SuppressNonTextPartsWarning,
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)
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def test_gemini_import():
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assert ProviderGoogleGenAI is not None
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def test_suppress_non_text_parts_warning_filter():
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flt = SuppressNonTextPartsWarning()
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record = MagicMock()
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record.getMessage.return_value = "there are non-text parts in the response"
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assert flt.filter(record) is False
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record.getMessage.return_value = "some other warning"
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assert flt.filter(record) is True
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def test_gemini_categories_and_thresholds():
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assert "harassment" in ProviderGoogleGenAI.CATEGORY_MAPPING
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assert "BLOCK_NONE" in ProviderGoogleGenAI.THRESHOLD_MAPPING
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@patch("astrbot.core.provider.sources.gemini_source.genai")
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def test_gemini_construction_no_proxy(mock_genai):
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provider = ProviderGoogleGenAI(
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provider_config={"key": ["test-key"], "model": "gemini-2.0-flash"},
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provider_settings={},
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)
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assert provider.get_model() == "gemini-2.0-flash"
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assert provider.chosen_api_key == "test-key"
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mock_genai.Client.assert_called_once()
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def test_gemini_empty_output_raises_error():
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llm_response = LLMResponse(role="assistant")
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with pytest.raises(EmptyModelOutputError):
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ProviderGoogleGenAI._ensure_usable_response(
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llm_response,
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response_id="resp_empty",
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finish_reason="STOP",
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)
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def test_gemini_reasoning_only_output_is_allowed():
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llm_response = LLMResponse(
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role="assistant",
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reasoning_content="chain of thought placeholder",
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)
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ProviderGoogleGenAI._ensure_usable_response(
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llm_response,
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response_id="resp_reasoning",
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finish_reason="STOP",
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)
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