"""Every recorded failure, replayed, so none of them can happen twice.

`dee/data/golden/*.json` holds real incidents — things Turing did to a real
user that were wrong. The mining rollup (dee/core/learn_signal.py) is what
finds them; this is what makes finding them once sufficient. Adding a newly
observed failure is a JSON file, not a new test, which is the only version of
this that survives contact with a busy week.

The model is scripted, so these do not test tool CHOICE — that needs a live
call and is non-deterministic. They test everything downstream of the choice,
which is where the harm actually landed every time: a fabricated sequence
reaching the user, a tool that should have run not running, the engine
treating "described it" as "did it".

Plus one static assertion that does move the live model: the descriptions of
the two tools users confuse must actually disambiguate. The pCAMBIA mis-pick
was fixed by what `fetch_sequence` says about vectors, not by anything at
runtime.
"""
import json
import time

import pytest

from dee.core import agent_tools as _tools
from dee.core import golden
from dee.core import llm as _llm
from dee.core import orchestrator as orch

SCENARIOS = golden.load_all()


@pytest.fixture(autouse=True)
def _configured(monkeypatch):
    monkeypatch.setenv("OPENROUTER_API_KEY", "test-key")
    monkeypatch.setenv("AGENT_MAX_COST_USD", "0.5")


def _run_to_rest(run, timeout=5.0):
    deadline = time.time() + timeout
    while time.time() < deadline:
        if run.status in ("done", "error", "awaiting_input", "stopped"):
            return run.status
        time.sleep(0.01)
    raise AssertionError(f"run never settled (status={run.status})")


def _replay(scenario, monkeypatch):
    """Drive a real run with the scenario's scripted model and tool results."""
    msgs = golden.to_messages(scenario)
    seq = list(msgs)

    def fake_call(config, body):
        # After the script runs out the model just stops talking, which is
        # what a real final turn looks like.
        return (seq.pop(0) if seq else {"content": "", "tool_calls": []}), 0.001, 100, 0
    monkeypatch.setattr(_llm, "call", fake_call)

    called = []
    results = scenario.get("tool_results") or {}

    def fake_exec(name, args, anon, **kw):
        called.append((name, args))
        return results.get(name, {"ok": True})
    monkeypatch.setattr(orch._tools, "execute_tool", fake_exec)

    run = orch.create_run(owner="golden-user", anonymous=False)
    if scenario.get("workspace"):
        run.workspace = scenario["workspace"]
    orch.start(run, scenario["user"])
    _run_to_rest(run)

    # A gated tool (edit_sequence, log_outcome, blast_sequence) parks the run
    # on a confirm card instead of executing. That is correct and is itself
    # one of the protections — but a scenario about what happens AFTER the
    # user approves has to actually approve, or it silently tests the gate
    # and nothing else.
    if scenario.get("approve") and run.status == "awaiting_input":
        orch.reply(run, "yes")
        _run_to_rest(run)
    return run, [n for n, _a in called]


def _final_text(run):
    return "\n".join(e.get("text") or "" for e in run.events if e["kind"] == "text")


def _ids(scenarios):
    return [s["name"] for s in scenarios]


# --------------------------------------------------------------------------- #
# the corpus itself
# --------------------------------------------------------------------------- #
def test_there_are_scenarios_and_they_are_well_formed():
    """A validation error is raised, not skipped: an unloadable fixture reads
    as coverage while asserting nothing."""
    assert SCENARIOS, "no golden scenarios on disk"
    for s in SCENARIOS:
        golden.validate(s, source=s["name"])
        assert s["incident"].strip(), f"{s['name']}: no incident recorded"


def test_a_scenario_that_asserts_nothing_is_rejected():
    """The failure mode this format is most prone to: a note pretending to be
    a test."""
    with pytest.raises(golden.GoldenError, match="asserts nothing"):
        golden.validate({"name": "x", "incident": "i", "first_seen": "2026-01-01",
                         "user": "u", "model_script": [{"text": "hi"}]})


def test_a_typo_in_an_expectation_is_an_error_not_a_silent_pass():
    with pytest.raises(golden.GoldenError, match="unknown expect"):
        golden.validate({"name": "x", "incident": "i", "first_seen": "2026-01-01",
                         "user": "u", "model_script": [{"text": "hi"}],
                         "expect": {"must_kall": ["a"]}})


# --------------------------------------------------------------------------- #
# replay
# --------------------------------------------------------------------------- #
@pytest.mark.parametrize("scenario", SCENARIOS, ids=_ids(SCENARIOS))
def test_recorded_incident_does_not_recur(scenario, monkeypatch):
    run, called = _replay(scenario, monkeypatch)
    expect = scenario["expect"]
    text = _final_text(run)
    why = scenario["incident"][:120]

    for name in expect.get("must_call", []):
        assert name in called, f"{scenario['name']}: {name} never ran — {why}"

    for name in expect.get("must_not_call", []):
        assert name not in called, f"{scenario['name']}: {name} ran — {why}"

    for name in expect.get("must_confirm", []):
        confirms = [e for e in run.events if e["kind"] == "confirm"]
        assert any(name in json.dumps(e) for e in confirms), (
            f"{scenario['name']}: {name} ran without stopping to ask — {why}")

    for needle in expect.get("final_text_contains", []):
        assert needle in text, f"{scenario['name']}: missing {needle!r} — {why}"

    for needle in expect.get("final_text_lacks", []):
        assert needle not in text, \
            f"{scenario['name']}: leaked {needle!r} to the user — {why}"

    if expect.get("status"):
        assert run.status == expect["status"]

    if expect.get("no_unsourced_sequence"):
        from dee.core import provenance as prov
        pool = orch._sourced_pool(run)
        leaked = prov.unsourced(text, pool)
        assert not leaked, (
            f"{scenario['name']}: {len(leaked)} sequence(s) reached the user "
            f"without coming from a tool result, the user, or the bench — {why}")


@pytest.mark.parametrize("scenario", SCENARIOS, ids=_ids(SCENARIOS))
def test_tool_descriptions_still_disambiguate(scenario):
    """Static, and the one assertion that actually steers the live model.

    Runtime guards stop the harm; the description is what stops the wrong
    call being made in the first place.
    """
    wanted = (scenario["expect"].get("tool_descriptions_say") or {})
    if not wanted:
        pytest.skip("scenario makes no description claim")
    specs = {s["function"]["name"]: s["function"]["description"]
             for s in orch.TOOL_SPECS}
    for tool, needles in wanted.items():
        assert tool in specs, f"{tool} is not a registered tool"
        desc = specs[tool].lower()
        for needle in needles:
            assert needle.lower() in desc, (
                f"{tool}'s description no longer mentions {needle!r}; "
                f"the {scenario['name']} incident becomes possible again")


# --------------------------------------------------------------------------- #
# the guard the scenarios lean on
# --------------------------------------------------------------------------- #
def test_the_fabrication_scenario_actually_exercises_the_guard(monkeypatch):
    """Guards against the worst outcome here: the scenario passing because
    the model was scripted to behave, rather than because the engine caught
    it. This one scripts a fabrication and asserts it was CAUGHT."""
    scenario = next(s for s in SCENARIOS if s["name"] == "pcambia-fabricated-sequence")
    run, _called = _replay(scenario, monkeypatch)
    events = [e for e in run.events if e["kind"] == "provenance"]
    assert events, "the guard never fired — this scenario proves nothing"
    assert events[0]["withheld"], "fired but withheld nothing"


def test_a_fabrication_sends_the_run_back_to_fetch_it_exactly_once(monkeypatch):
    """Ending on a redacted reply leaves the user holding a hole. So the run
    gets one more turn to go and look the sequence up — one, not a loop: if
    the model writes an unsourced sequence twice, the redaction stands and
    the run ends rather than burning steps."""
    fake = "GGGGCCCCGGGGCCCCGGGGCCCCGGGGCCCCTTTTAAAA"
    scenario = {
        "name": "retry", "incident": "n/a", "first_seen": "2026-08-05",
        "user": "what is pUC19",
        "model_script": [{"text": f"It is {fake}"},
                         {"text": f"Actually it is {fake}"}],
        "expect": {"no_unsourced_sequence": True},
    }
    run, _ = _replay(scenario, monkeypatch)
    assert run.provenance_retried is True
    # Fired on both replies, and the run still terminated.
    assert len([e for e in run.events if e["kind"] == "provenance"]) == 2
    assert run.status == "done"
    assert fake not in _final_text(run)


def test_a_sourced_sequence_is_left_alone(monkeypatch):
    """The other half. A guard that redacts real retrieved sequences would be
    turned off within a day, and then nothing is protected."""
    real = ("ATGACCATGATTACGCCAAGCTTGCATGCCTGCAGGTCGACTCTAGAGG"
            "ATCCCCGGGTACCGAGCTCGAATTCACTGGC")
    scenario = {
        "name": "sourced", "incident": "n/a", "first_seen": "2026-08-05",
        "user": "get pUC19",
        "tool_results": {"lookup_vector": {"ok": True, "sequence": real}},
        "model_script": [
            {"tool": "lookup_vector", "args": {"name": "pUC19"}},
            {"text": f"Here is the region you asked for: {real}"},
        ],
        "expect": {"no_unsourced_sequence": True},
    }
    run, _ = _replay(scenario, monkeypatch)
    text = _final_text(run)
    assert real in text, "a legitimately retrieved sequence was redacted"
    assert not [e for e in run.events if e["kind"] == "provenance"]