"""Publishing a summary: one set of files, one pointer, never a partial result."""

from __future__ import annotations

import csv
import json

import pytest

from evidence_helpers import multipoint_session
from orisys_autocal.summary import build_summary
from orisys_autocal.summary_export import (
    POINTER_FORMAT,
    POINTER_NAME,
    SummaryExportError,
    load_summary,
    publish_summary,
    render_html,
)


@pytest.fixture
def session(tmp_path):
    root = multipoint_session(
        tmp_path / "rec", sites=("P1", "P2"), repeats=2, levels=(5.0, 10.0))
    return root


def _pointer(root):
    return json.loads((root / POINTER_NAME).read_text(encoding="utf-8"))


def _read_csv(path):
    with path.open(encoding="utf-8-sig", newline="") as handle:
        return list(csv.DictReader(handle))


def test_publishing_writes_all_four_files_and_moves_the_pointer(session):
    summary = build_summary(session)

    published = publish_summary(session, summary)

    assert published.is_dir()
    assert published.name == f"summary_{summary['summary_id']}"
    for name in ("summary.json", "summary.html", "baseline_load_data.csv",
                 "sensitivity_values.csv"):
        assert (published / name).is_file(), name
    pointer = _pointer(session)
    assert pointer["format_version"] == POINTER_FORMAT
    assert pointer["summary_id"] == summary["summary_id"]
    assert pointer["path"] == f"derived/{published.name}"
    assert set(pointer["files"]) == {
        "summary.json", "summary.html", "baseline_load_data.csv", "sensitivity_values.csv"}
    loaded, pointer_again = load_summary(session)
    assert loaded["summary_id"] == summary["summary_id"]
    assert pointer_again["summary_id"] == summary["summary_id"]
    # The export is a snapshot of the same object, not a second computation.
    stored = json.loads((published / "summary.json").read_text(encoding="utf-8"))
    assert stored["windows"] == summary["windows"]
    assert stored["sensitivity"] == summary["sensitivity"]


def test_the_html_is_self_contained_and_escapes_operator_text(session):
    summary = build_summary(session)
    summary = dict(summary)
    summary["sensor_sn"] = "<script>alert('x')</script>"

    document = render_html(summary)

    assert "<script>" not in document
    assert "&lt;script&gt;" in document
    assert "http://" not in document and "https://" not in document
    assert "not a pass/fail certificate" in document


def test_a_write_failure_leaves_the_previous_pointer_in_place(session, monkeypatch):
    import orisys_autocal.summary_export as module

    first = build_summary(session)
    publish_summary(session, first)
    before = (session / POINTER_NAME).read_text(encoding="utf-8")

    second = build_summary(session)
    second["generated_at"] = "2999-01-01T00:00:00+00:00"

    def explode(*args, **kwargs):
        raise OSError("no space left on device")

    monkeypatch.setattr(module, "_write_csv", explode)
    with pytest.raises(SummaryExportError, match="could not publish"):
        publish_summary(session, second)

    assert (session / POINTER_NAME).read_text(encoding="utf-8") == before
    assert not (session / "derived" / f"summary_{second['summary_id']}").exists()
    leftovers = [path for path in (session / "derived").iterdir() if path.name.startswith(".tmp-")]
    assert leftovers == []


def test_the_pointer_never_moves_back_to_an_older_summary(session):
    first = build_summary(session)
    first["generated_at"] = "2026-10-18T00:00:00+00:00"
    publish_summary(session, first)
    older = build_summary(session)
    older["generated_at"] = "2026-10-17T00:00:00+00:00"

    with pytest.raises(SummaryExportError, match="back"):
        publish_summary(session, older)

    assert _pointer(session)["summary_id"] == first["summary_id"]


def test_changed_inputs_refuse_to_publish(session):
    summary = build_summary(session)
    forces = session / "sites" / "P1" / "repeat-001" / "capture" / "forces.csv"
    text = forces.read_text(encoding="utf-8-sig")
    forces.write_text(text + "\n", encoding="utf-8")

    with pytest.raises(SummaryExportError, match="changed"):
        publish_summary(session, summary)
    assert not (session / POINTER_NAME).exists()


def test_a_cancelled_export_writes_nothing(session):
    summary = build_summary(session)
    with pytest.raises(SummaryExportError, match="cancelled"):
        publish_summary(session, summary, cancelled=lambda: True)
    assert not (session / POINTER_NAME).exists()
    assert not (session / "derived").exists()


def test_the_same_summary_is_not_published_twice(session):
    summary = build_summary(session)
    publish_summary(session, summary)
    with pytest.raises(SummaryExportError, match="already published"):
        publish_summary(session, summary)


def test_load_refuses_a_tampered_export(session):
    summary = build_summary(session)
    published = publish_summary(session, summary)
    (published / "sensitivity_values.csv").write_text("changed", encoding="utf-8")

    with pytest.raises(SummaryExportError, match="modified"):
        load_summary(session)


def test_the_csv_keeps_full_precision_and_utf8_text(session):
    summary = build_summary(session)
    summary["windows"][1]["FN_mean"] = 40.1234567890123
    summary["windows"][1]["site_id"] = "测点一"

    published = publish_summary(session, summary)

    rows = _read_csv(published / "baseline_load_data.csv")
    assert rows[1]["FN_mean"] == repr(40.1234567890123)
    assert float(rows[1]["FN_mean"]) == pytest.approx(40.1234567890123)
    assert rows[1]["site_id"] == "测点一"
    assert rows[1]["unit"] == "raw"
    assert rows[1]["window_method"] == "hold_second_half_v1"
    assert rows[1]["eligible"] == "1"
    assert rows[1]["samples_FN"] == "2"


def test_the_sensitivity_csv_has_one_row_per_point_trial_axis(session):
    summary = build_summary(session)
    published = publish_summary(session, summary)

    rows = _read_csv(published / "sensitivity_values.csv")

    assert len(rows) == len(summary["sensitivity"]) == 2 * 2 * 3
    assert {row["component"] for row in rows} == {"FN", "FX", "FY"}
    assert {row["method"] for row in rows} == {"raw_on_reference_ols_v1"}
    assert {row["review_status"] for row in rows} == {"candidate"}
    fn = [row for row in rows if row["component"] == "FN"]
    assert all(float(row["slope_raw_per_N"]) == pytest.approx(40.0) for row in fn)