import pytest

from haiku.rag.client import HaikuRAG
from haiku.rag.graph.research.dependencies import ResearchContext
from haiku.rag.graph.research.graph import build_research_graph
from haiku.rag.graph.research.models import ResearchReport
from haiku.rag.graph.research.state import ResearchDeps, ResearchState


@pytest.mark.vcr()
async def test_graph_end_to_end(allow_model_requests, temp_db_path, qa_corpus):
    """Test research graph with real LLM calls recorded via VCR."""
    graph = build_research_graph()

    client = HaikuRAG(temp_db_path, create=True)
    doc = qa_corpus[0]
    await client.create_document(
        content=doc["document_extracted"], uri=doc["document_id"]
    )

    state = ResearchState(
        context=ResearchContext(original_question=doc["question"]),
        max_iterations=1,
        confidence_threshold=0.5,
        max_concurrency=1,
    )

    deps = ResearchDeps(client=client)

    result = await graph.run(state=state, deps=deps)

    assert result is not None
    assert isinstance(result, ResearchReport)
    assert result.title
    assert result.executive_summary

    client.close()