"""Step 12 smoke — run_project composes the slice end-to-end on an injected FakeChatClient.

Returns a ValidatedProposal with a populated first-class ProvenanceStamp. Pattern:
tests/test_smoke.py.
"""

from spikes._harness import FakeChatClient

from portfolio_optimiser.provenance import ProvenanceStamp
from portfolio_optimiser.run import run_project
from portfolio_optimiser.validator import ValidatedProposal

_VALID = (
    '{"project_id":"KONTOR-IT-E1","measure":"Reduce scope",'
    '"affected_items":[{"code":"05.2","quantity":4300,"unit_cost":215},'
    '{"code":"03.1","quantity":1800,"unit_cost":310}],"claimed_saving_nok":200000}'
)


async def test_run_project_smoke(tmp_path) -> None:
    docs = tmp_path / "docs"
    docs.mkdir()
    (docs / "cost.txt").write_text(
        "Licence unit price renegotiation reduced the office-suite cost for the head office.",
        encoding="utf-8",
    )

    def factory(role: str) -> FakeChatClient:
        return FakeChatClient(default_reply=_VALID)

    result = await run_project(
        "KONTOR-IT-E1",
        "local",
        docs_dir=str(docs),
        verdict_input={"decision": "approved", "rationale": "feasible within range"},
        client_factory=factory,
    )
    assert isinstance(result.outcome, ValidatedProposal)
    assert isinstance(result.provenance, ProvenanceStamp)
    assert len(result.provenance.citations) >= 1