"""Tests for grounded leads (connection / gap / improvement).

The Grounding-Guard is re-used from :mod:`codex.wiki` (F-12). These tests
verify that ungrounded claims are either dropped or annotated with ⚠,
and that grounded statements survive intact.
"""

from __future__ import annotations

from pathlib import Path

from codex.synthesis import (
    _finalise_grounded_lead,
    _mark_ungrounded,
    find_connections,
    find_gaps,
)
from tests.synthesis.conftest import StubLLM

_GROUNDED_CONNECTION = (
    "Both papers build hyperbolic volumes from the Lobachevsky function.\n"
    "For an ideal tetrahedron with dihedral angles the hyperbolic volume is "
    "V = L(gamma1) + L(gamma2) + L(gamma3). [Springborn2008 #chunk 16]\n"
    "A discrete conformal map is defined by logarithmic scale factors u_i at "
    "each vertex such that the edge lengths satisfy a compatibility condition. "
    "[BobenkoPinkallSpringborn2015 #chunk 3]\n"
)

_UNGROUNDED_CONNECTION = (
    "Both papers prove the Riemann hypothesis via the Lobachevsky function. "
    "[Springborn2008 #chunk 99]\n"
)


def test_finalise_grounded_lead_returns_none_without_claims(
    fixture_chunks: list[dict[str, object]],
) -> None:
    """Body with no inline citations yields no grounded lead."""
    lead = _finalise_grounded_lead(
        seq=1,
        kind="connection",
        title="t",
        body="A plain statement with no citation marker.",
        chunks=fixture_chunks,
        min_grounded_ratio=0.5,
    )
    assert lead is None


def test_finalise_grounded_lead_drops_when_ratio_below_floor(
    fixture_chunks: list[dict[str, object]],
) -> None:
    """All-ungrounded body → None (not silently promoted)."""
    lead = _finalise_grounded_lead(
        seq=1,
        kind="connection",
        title="t",
        body=_UNGROUNDED_CONNECTION,
        chunks=fixture_chunks,
        min_grounded_ratio=0.5,
    )
    assert lead is None


def test_finalise_grounded_lead_succeeds_when_grounded(
    fixture_chunks: list[dict[str, object]],
) -> None:
    """Grounded body passes the floor and returns a populated Lead."""
    lead = _finalise_grounded_lead(
        seq=1,
        kind="connection",
        title="Both papers share a building block",
        body=_GROUNDED_CONNECTION,
        chunks=fixture_chunks,
        min_grounded_ratio=0.5,
    )
    assert lead is not None
    assert lead.kind == "connection"
    assert lead.id == "L-C-0001"  # kind-prefixed id (audit C-11)
    assert lead.confidence >= 0.5
    assert lead.status == "unverified"
    assert lead.suggested_validation == ""
    # All claims should be grounded
    assert all(c.grounded for c in lead.claims)


def test_mark_ungrounded_prefixes_warning() -> None:
    """_mark_ungrounded prefixes ⚠ to the matching claim text once."""
    from codex.wiki import Claim

    body = "Some fact. [X2020 #c 1]\nOther fact. [Y2021 #c 2]\n"
    claims = [
        Claim(text="Some fact", bibkey="X2020", locator="c 1", grounded=False),
        Claim(text="Other fact", bibkey="Y2021", locator="c 2", grounded=True),
    ]
    out = _mark_ungrounded(body, claims)
    assert "⚠ Some fact" in out
    # Grounded claim is not annotated
    assert "⚠ Other fact" not in out


def test_find_connections_emits_grounded_lead(
    mock_retrieve: None,
    mock_paper_titles: None,
    mock_settings: Path,
) -> None:
    """End-to-end: with a grounded LLM response, a connection lead is produced."""
    llm = StubLLM(_GROUNDED_CONNECTION)
    leads = find_connections(top_k=6, llm=llm)
    assert len(leads) >= 1
    lead = leads[0]
    assert lead.kind == "connection"
    assert lead.provenance, "grounded lead must carry provenance"
    # No ⚠ should appear because all claims grounded
    assert "⚠" not in lead.body


def test_find_connections_drops_ungrounded_response(
    mock_retrieve: None,
    mock_paper_titles: None,
    mock_settings: Path,
) -> None:
    """Ungrounded LLM responses are dropped, not emitted with ⚠."""
    llm = StubLLM(_UNGROUNDED_CONNECTION)
    leads = find_connections(top_k=6, llm=llm)
    assert leads == []


def test_find_connections_handles_llm_failure(
    mock_retrieve: None,
    mock_paper_titles: None,
    mock_settings: Path,
) -> None:
    """LLM raising → returns [] (mirrors F-12 graceful degradation)."""

    class FailingLLM:
        def generate(self, prompt: str, model: str) -> str:
            raise ConnectionError("ollama unreachable")

    leads = find_connections(top_k=6, llm=FailingLLM())
    assert leads == []


def test_find_gaps_topic_with_no_chunks(
    monkeypatch,
    mock_paper_titles: None,
    mock_settings: Path,
) -> None:
    """When retrieval returns no chunks, a gap lead is emitted directly."""
    monkeypatch.setattr("codex.synthesis._retrieve_chunks", lambda queries, top_k: [])
    # Coverage gaps are opt-in now (audit R-8): pass an explicit topic.
    leads = find_gaps(llm=StubLLM(""), topics=["nonexistent topic"])
    assert len(leads) >= 1
    assert all(lead.kind == "gap" for lead in leads)
    # Direct gap leads carry a validation hint (re-ingest)
    assert all(lead.suggested_validation for lead in leads)


def test_find_gaps_well_covered_topic_skipped(
    monkeypatch,
    mock_paper_titles: None,
    mock_settings: Path,
    fixture_chunks: list[dict[str, object]],
) -> None:
    """Topics covered by enough bibkeys are NOT emitted as gaps.

    Three distinct bibkeys in the fixture > synthesis_gap_min_coverage=2,
    so every topic is well-covered and gets skipped.
    """
    monkeypatch.setattr(
        "codex.synthesis._retrieve_chunks",
        lambda queries, top_k: [dict(c) for c in fixture_chunks],
    )
    leads = find_gaps(llm=StubLLM(""))
    # All probes well-covered → no gap leads
    assert leads == []