37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
import pytest
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from haiku.rag.client import HaikuRAG
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from haiku.rag.graph.research.dependencies import ResearchContext
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from haiku.rag.graph.research.graph import build_research_graph
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from haiku.rag.graph.research.models import ResearchReport
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from haiku.rag.graph.research.state import ResearchDeps, ResearchState
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@pytest.mark.vcr()
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async def test_graph_end_to_end(allow_model_requests, temp_db_path, qa_corpus):
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"""Test research graph with real LLM calls recorded via VCR."""
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graph = build_research_graph()
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client = HaikuRAG(temp_db_path, create=True)
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doc = qa_corpus[0]
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await client.create_document(
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content=doc["document_extracted"], uri=doc["document_id"]
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)
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state = ResearchState(
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context=ResearchContext(original_question=doc["question"]),
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max_iterations=1,
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confidence_threshold=0.5,
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max_concurrency=1,
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)
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deps = ResearchDeps(client=client)
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result = await graph.run(state=state, deps=deps)
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assert result is not None
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assert isinstance(result, ResearchReport)
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assert result.title
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assert result.executive_summary
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client.close()
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