somew1nd
67248c887e
Add execution incidents, action bursts and shared Flash history. Expose verification and Explorer settings with streamed check results. Support graceful cancellation, recording recovery and bundled UI resources. Add CI quality checks and clean up comments and documentation.
64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from artemis.agents.log_analyzer.log_analyzer import LogAnalyzerNode
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import pytest
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_spawn_log_reader(artemis_context, mock_state):
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"""Test the spawn_log_reader tool exposed by LogAnalyzerNode."""
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from artemis.sdk.utils import load_llm_config_override
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from pathlib import Path
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node = LogAnalyzerNode(ctx=artemis_context)
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artemis_context.llm_config = load_llm_config_override(Path("llm-config.json"))
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if artemis_context.data_engine:
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artemis_context.data_engine.start_session("test_session")
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tool = node._get_spawn_log_reader_tool()
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# Let the tool run its lifecycle. It will use the real LLM APIs.
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# Note: State injection is normally handled by LangGraph/tool invocation,
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# but since we are testing the coroutine directly, we can pass it manually.
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result = await tool.coroutine(
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specific_query=("Find any errors related to network timeout in the logs."),
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state=mock_state,
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)
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assert result is not None
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assert isinstance(result, (str, list))
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assert len(result) > 0
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_log_analyzer_run(artemis_context, mock_state):
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"""Test LogAnalyzerNode.run end-to-end execution with grounding configuration."""
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from artemis.config.llm import parse_llm_config
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node = LogAnalyzerNode(ctx=artemis_context)
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artemis_context.llm_config = parse_llm_config()
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if artemis_context.data_engine:
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artemis_context.data_engine.start_session("test_log_analyzer_session")
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result = await node.run(
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prompt="Analyze recent error logs for potential crash or exception tags.",
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state=mock_state,
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)
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assert result is not None
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assert isinstance(result, (str, list))
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assert len(result) > 0
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