"""Integration tests for the M11 pipeline orchestration."""

from __future__ import annotations

from datetime import date, datetime
from typing import Any, cast

import pytest
from pydantic import SecretStr

from pronote_sync.config.settings import AISettings, AppSettings, PronoteSettings, Settings
from pronote_sync.errors import PipelineCriticalError, PipelineWarning
from pronote_sync.models.agenda import Lesson, LessonStatus, SchoolEvent
from pronote_sync.models.blog import BlogArticle
from pronote_sync.models.diff import AgendaDiff
from pronote_sync.models.homework import Homework
from pronote_sync.models.message import Message
from pronote_sync.models.sync import CalDAVSyncResult, CalDAVSyncStatus
from pronote_sync.pipeline.run import PipelineRunner
from pronote_sync.sources.blog.result import BlogRSSFetchResult
from pronote_sync.sources.blog.rss import BlogRSSClient
from pronote_sync.sources.blog.state import BlogRSSState
from pronote_sync.sources.pronote.fallback import PronoteFetcher
from pronote_sync.sync.diff import AgendaComparator


class StubFetcher:
    """Pronote fetcher returning deterministic data and recording its calls."""

    def __init__(self, calls: list[str], lesson: Lesson, homework: Homework) -> None:
        """Store the dependencies required by the stub.

        :param calls: Shared call-order recorder.
        :param lesson: Lesson returned by the agenda method.
        :param homework: Homework returned by the homework method.
        """
        self._calls = calls
        self._lesson = lesson
        self._homework = homework

    def fetch_agenda(self) -> tuple[list[Lesson], list[SchoolEvent]]:
        """Return one lesson for the target date.

        :return: The lesson and no school event.
        :rtype: tuple[list[Lesson], list[SchoolEvent]]
        """
        self._calls.append("fetch")
        return [self._lesson], []

    def fetch_homework(self, target_date: date) -> list[Homework]:
        """Return the configured homework.

        :param target_date: Requested due date.
        :return: The configured homework.
        :rtype: list[Homework]
        """
        self._calls.append("fetch_homework")
        assert target_date == self._lesson.start.date()
        return [self._homework]

    def fetch_messages(self) -> list[Message]:
        """Return no Pronote messages.

        :return: An empty list.
        :rtype: list[Message]
        """
        self._calls.append("fetch_messages")
        return []

    def fetch_informations(self) -> list[Message]:
        """Return no Pronote information messages.

        :return: An empty list.
        :rtype: list[Message]
        """
        self._calls.append("fetch_informations")
        return []


class StubChannel:
    """Notification channel recording its send attempts."""

    def __init__(self, calls: list[str]) -> None:
        """Store the shared call-order recorder.

        :param calls: Shared call-order recorder.
        """
        self._calls = calls
        self.messages: list[Any] = []

    def send(self, message: Any) -> bool:
        """Record an outgoing message.

        :param message: Message produced by the runner.
        :return: Always ``True``.
        :rtype: bool
        """
        self.messages.append(message)
        self._calls.append("send")
        return True


class StubComparator:
    """Agenda comparator recording comparison calls."""

    def __init__(self, calls: list[str]) -> None:
        """Store the shared call-order recorder.

        :param calls: Shared call-order recorder.
        """
        self._calls = calls

    def compare(self, lessons: list[Lesson], target_date: date) -> AgendaDiff:
        """Return an empty diff after recording the comparison.

        :param lessons: Normalized lessons.
        :param target_date: Target digest date.
        :return: Empty agenda diff.
        :rtype: AgendaDiff
        """
        self._calls.append("compare")
        return AgendaDiff(target_date=target_date)


@pytest.fixture
def pipeline_inputs() -> tuple[Lesson, Homework]:
    """Return deterministic Pronote data targeting 2026-09-09.

    :return: A lesson and homework pair.
    :rtype: tuple[Lesson, Homework]
    """
    lesson = Lesson(
        id="lesson-1",
        start=datetime(2026, 9, 9, 8, 0),
        end=datetime(2026, 9, 9, 9, 0),
        subject="Maths",
        group=None,
        status=LessonStatus.NORMAL,
        content=None,
    )
    homework = Homework(
        id="homework-1",
        subject="Maths",
        assigned_on=None,
        due_on=date(2026, 9, 9),
        text="Exercise 1",
    )
    return lesson, homework


def successful_sync_result() -> CalDAVSyncResult:
    """Construit un résultat CalDAV de succès compatible avec mypy.

    :return: Résultat de synchronisation sans changement.
    :rtype: CalDAVSyncResult
    """
    return CalDAVSyncResult(status=CalDAVSyncStatus.SUCCESS, added=0, updated=0, removed=0)


def _record_ical_fetch(calls: list[str], url: str) -> str:
    """Enregistre un téléchargement iCal simulé.

    :param calls: Liste partagée des téléchargements.
    :param url: URL iCal reçue par la source.
    :return: Contenu iCal minimal simulé.
    :rtype: str
    """
    calls.append(url)
    return "BEGIN:VCALENDAR"


def test_runner_executes_steps_in_contractual_order(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """The runner executes fetch, blog, comparison, CalDAV, synthesis, then XMPP."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    def synchronize(data: Any, settings: Settings) -> CalDAVSyncResult:
        """Record the CalDAV step.

        :param data: Normalized Pronote data.
        :param settings: Effective settings.
        :return: Successful result.
        :rtype: CalDAVSyncResult
        """
        del data, settings
        calls.append("caldav_sync")
        return successful_sync_result()

    class RaisingSynthesisProvider:
        """Synthesis provider used solely to record the optional stage."""

        def generate(self, input_data: Any) -> None:
            """Record synthesis and return no result.

            :param input_data: Synthesis input.
            :return: No synthesis.
            :rtype: None
            """
            del input_data
            calls.append("synthesis")
            return None

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=synchronize,
        agenda_comparator=cast("AgendaComparator", StubComparator(calls)),
        synthesis_provider=RaisingSynthesisProvider(),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert errors == []
    assert calls == [
        "fetch",
        "fetch_homework",
        "fetch_messages",
        "fetch_informations",
        "compare",
        "caldav_sync",
        "synthesis",
        "send",
    ]


def test_runner_continues_to_xmpp_when_synthesis_fails(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """A non-critical synthesis exception produces a warning and still sends XMPP."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    class FailingSynthesisProvider:
        """Synthesis provider raising a non-critical error."""

        def generate(self, input_data: Any) -> None:
            """Raise a deterministic optional-stage failure.

            :param input_data: Synthesis input.
            :raises RuntimeError: Always.
            """
            del input_data
            raise RuntimeError("synthetic AI failure")

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        synthesis_provider=FailingSynthesisProvider(),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert calls[-1] == "send"
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "synthesis"


def test_runner_dry_run_skips_caldav_and_xmpp_writes(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Dry-run bypasses both mutable destination boundaries."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    def dry_run_caldav(data: Any, settings: Settings) -> CalDAVSyncResult:
        """Verify that the CalDAV boundary receives dry-run settings.

        :param data: Normalized Pronote data.
        :param settings: Effective settings.
        :return: A skipped result.
        :rtype: CalDAVSyncResult
        """
        del data
        calls.append("caldav_sync")
        assert settings.app.dry_run is True
        return CalDAVSyncResult(status=CalDAVSyncStatus.SKIPPED, added=0, updated=0, removed=0)

    runner = PipelineRunner(
        settings=Settings(app=AppSettings(dry_run=True)),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=dry_run_caldav,
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert errors == []
    assert "caldav_sync" in calls
    assert "send" not in calls


def test_runner_without_theoretical_agenda_produces_an_empty_diff(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """A disabled theoretical agenda reaches XMPP with no agenda changes."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []
    channel = StubChannel(calls)
    runner = PipelineRunner(
        settings=Settings(app=AppSettings(theoretical_agenda_path=None)),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        channel=channel,
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert errors == []
    assert len(channel.messages) == 1
    assert channel.messages[0].changes == ()


def test_runner_reports_critical_error_when_no_pronote_source_is_available() -> None:
    """No configured Pronote source returns an explicit critical pipeline error."""
    settings = Settings(pronote=PronoteSettings())
    runner = PipelineRunner(
        settings=settings,
        pronote_fetcher=PronoteFetcher(settings, object()),  # type: ignore[arg-type]
    )

    data, errors = runner.run()

    assert data is None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineCriticalError)
    assert errors[0].step is None
    assert "ni la source iCal ni pronotepy" in errors[0].message


def test_from_settings_without_theoretical_agenda_does_not_instantiate_comparator(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    """Missing theoretical configuration keeps comparison disabled without constructing it."""
    import pronote_sync.pipeline.run as run_module

    def forbidden_comparator(provider: object) -> None:
        """Fail if comparison is constructed without configuration.

        :param provider: The provider unexpectedly supplied.
        :raises AssertionError: Always.
        """
        del provider
        raise AssertionError("AgendaComparator must not be instantiated")

    monkeypatch.setattr(run_module, "AgendaComparator", forbidden_comparator)

    runner = PipelineRunner.from_settings(Settings(app=AppSettings(theoretical_agenda_path=None)))

    assert runner._agenda_comparator is None


def test_from_settings_with_theoretical_agenda_instantiates_comparator(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    """Configured theoretical agenda constructs the comparator with its provider."""
    import pronote_sync.pipeline.run as run_module

    provider = object()
    constructed_with: list[object] = []

    class RecordingComparator:
        """Comparator constructor recording the supplied provider."""

        def __init__(self, received_provider: object) -> None:
            """Record the provider used by the composition root.

            :param received_provider: The constructed theoretical provider.
            """
            constructed_with.append(received_provider)

    monkeypatch.setattr(run_module, "get_theoretical_provider", lambda *args: provider)
    monkeypatch.setattr(run_module, "AgendaComparator", RecordingComparator)

    runner = PipelineRunner.from_settings(
        Settings(app=AppSettings(theoretical_agenda_path="/agenda.json"))
    )

    assert constructed_with == [provider]
    assert isinstance(runner._agenda_comparator, RecordingComparator)


def test_runner_reuses_ical_download_and_parse_within_one_run(
    monkeypatch: pytest.MonkeyPatch,
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """An iCal agenda/homework selection downloads and parses once per runner run."""
    import pronote_sync.sources.pronote.fallback as fallback_module

    lesson, _ = pipeline_inputs
    settings = Settings(
        pronote=PronoteSettings(
            ical_url=SecretStr("https://pronote.example.test/calendar.ics"),
            agenda_source="ical",
            homework_source="ical",
        )
    )
    fetch_calls: list[str] = []
    monkeypatch.setattr(
        fallback_module,
        "fetch_ical",
        lambda url: _record_ical_fetch(fetch_calls, url),
    )
    monkeypatch.setattr(fallback_module, "parse_ical", lambda raw: ([lesson], [], []))

    class NoMessageClient:
        """Minimal pronotepy client for non-critical M11 fetches."""

        def get_messages(self) -> list[Message]:
            """Return no messages.

            :return: An empty list.
            :rtype: list[Message]
            """
            return []

        def get_informations(self) -> list[Message]:
            """Return no information messages.

            :return: An empty list.
            :rtype: list[Message]
            """
            return []

        def get_lessons(self, start: date, end: date) -> list[Lesson]:
            """Ne retourne aucun cours de repli.

            :param start: Début de la fenêtre.
            :param end: Fin de la fenêtre.
            :return: Liste vide.
            :rtype: list[Lesson]
            """
            del start, end
            return []

        def get_homeworks(self, start: date, end: date) -> list[Homework]:
            """Ne retourne aucun devoir de repli.

            :param start: Début de la fenêtre.
            :param end: Fin de la fenêtre.
            :return: Liste vide.
            :rtype: list[Homework]
            """
            del start, end
            return []

    runner = PipelineRunner(
        settings=settings,
        pronote_fetcher=PronoteFetcher(settings, NoMessageClient()),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert errors == []
    assert fetch_calls == ["https://pronote.example.test/calendar.ics"]


class FailingBlogClient:
    """Blog client raising an exception to test error handling."""

    def fetch_and_parse(
        self,
        *,
        known_guids: frozenset[str] | None = None,
        etag: str | None = None,
        last_modified: str | None = None,
    ) -> Any:
        """Raise an exception to simulate blog fetch failure.

        :param known_guids: Known GUIDs (unused).
        :param etag: ETag header (unused).
        :param last_modified: Last-Modified header (unused).
        :return: Never returns.
        :raises RuntimeError: Always.
        """
        del known_guids, etag, last_modified
        raise RuntimeError("Blog fetch failed: network error")


class FailingComparator:
    """Comparator raising an exception to test error handling."""

    def compare(self, lessons: list[Lesson], target_date: date) -> AgendaDiff:
        """Raise an exception to simulate comparison failure.

        :param lessons: Lessons to compare (unused).
        :param target_date: Target date (unused).
        :return: Never returns.
        :raises RuntimeError: Always.
        """
        del lessons, target_date
        raise RuntimeError("Comparison failed: invalid data")


class FailingCaldavSynchronizer:
    """CalDAV synchronizer raising an exception to test error handling."""

    def __call__(self, data: Any, settings: Settings) -> CalDAVSyncResult:
        """Raise an exception to simulate CalDAV sync failure.

        :param data: Data to sync (unused).
        :param settings: Settings (unused).
        :return: Never returns.
        :raises RuntimeError: Always.
        """
        del data, settings
        raise RuntimeError("CalDAV sync failed: connection error")


class FailingChannel:
    """Channel that returns False to test error handling."""

    def __init__(self) -> None:
        """Initialize the failing channel."""
        self.messages: list[Any] = []

    def send(self, message: Any) -> bool:
        """Return False to simulate refused send.

        :param message: Message to send (unused).
        :return: Always False.
        :rtype: bool
        """
        self.messages.append(message)
        return False


class ExceptionalChannel:
    """Channel that raises an exception to test error handling."""

    def __init__(self) -> None:
        """Initialize the exceptional channel."""
        self.messages: list[Any] = []

    def send(self, message: Any) -> bool:
        """Raise an exception to simulate send failure.

        :param message: Message to send (unused).
        :return: Never returns.
        :raises RuntimeError: Always.
        """
        self.messages.append(message)
        raise RuntimeError("XMPP send failed: connection closed")


class CriticalChannel:
    """Channel that raises PipelineCriticalError to test propagation."""

    def send(self, message: Any) -> bool:
        """Raise PipelineCriticalError to test propagation.

        :param message: Message to send (unused).
        :return: Never returns.
        :raises PipelineCriticalError: Always.
        """
        del message
        raise PipelineCriticalError("Critical send failure", step="send")


class EmptyFetcher:
    """Pronote fetcher returning empty agenda and homework."""

    def fetch_agenda(self) -> tuple[list[Lesson], list[SchoolEvent]]:
        """Return empty agenda.

        :return: Empty lessons and events.
        :rtype: tuple[list[Lesson], list[SchoolEvent]]
        """
        return [], []

    def fetch_homework(self, target_date: date) -> list[Homework]:
        """Return empty homework.

        :param target_date: Target date (unused).
        :return: Empty homework list.
        :rtype: list[Homework]
        """
        del target_date
        return []

    def fetch_messages(self) -> list[Message]:
        """Return no messages.

        :return: Empty list.
        :rtype: list[Message]
        """
        return []

    def fetch_informations(self) -> list[Message]:
        """Return no information messages.

        :return: Empty list.
        :rtype: list[Message]
        """
        return []


@pytest.fixture
def caldav_failed_result() -> CalDAVSyncResult:
    """Fixture providing a failed CalDAV sync result.

    :return: Failed sync result with errors.
    :rtype: CalDAVSyncResult
    """
    return CalDAVSyncResult(
        status=CalDAVSyncStatus.FAILED,
        added=0,
        updated=0,
        removed=0,
        errors=["Error 1: invalid credentials", "Error 2: server unavailable"],
    )


def test_runner_blog_failure_produces_pipeline_warning(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Blog failure produces PipelineWarning and continues with empty blog_articles."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(blog=Settings().blog.model_copy(update={"enabled": True})),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        blog_client=cast("BlogRSSClient | None", FailingBlogClient()),
        blog_state=BlogRSSState(),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "fetch_blog"
    assert "Blog fetch failed" in errors[0].message
    # Verify pipeline continued to next steps
    assert len(calls) >= 5  # fetch, fetch_homework, fetch_messages, fetch_informations, compare


def test_runner_compare_failure_produces_pipeline_warning(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Compare failure produces PipelineWarning and continues with empty AgendaDiff."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", FailingComparator()),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "compare"
    assert "Comparison failed" in errors[0].message
    # Pipeline continues to next steps even if compare fails


def test_runner_caldav_sync_exception_produces_pipeline_warning(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """CalDAV synchronizer raises exception → PipelineWarning with step='caldav_sync'."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=FailingCaldavSynchronizer(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "caldav_sync"
    assert "CalDAV sync failed" in errors[0].message
    # Pipeline continues to next steps even if caldav_sync fails


def test_runner_caldav_sync_failed_status_produces_pipeline_warning(
    pipeline_inputs: tuple[Lesson, Homework],
    caldav_failed_result: CalDAVSyncResult,
) -> None:
    """CalDAV sync result has status=FAILED → PipelineWarning with redacted errors."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    def failing_sync_result(data: Any, settings: Settings) -> CalDAVSyncResult:
        """Return a failed sync result.

        :param data: Data to sync (unused).
        :param settings: Settings (unused).
        :return: Failed sync result.
        :rtype: CalDAVSyncResult
        """
        del data, settings
        return caldav_failed_result

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=failing_sync_result,
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "caldav_sync"
    # Verify errors are redacted (should not contain plain secret if present)
    assert "Error 1" in errors[0].message or "Error 2" in errors[0].message
    # Pipeline continues to next steps even if caldav_sync fails


def test_runner_channel_send_returns_false_produces_pipeline_warning(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Channel.send() returns False → PipelineWarning with step='send' and 'refusé'."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        channel=FailingChannel(),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "send"
    assert "refusé" in errors[0].message


def test_runner_channel_send_raises_exception_produces_pipeline_warning(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Channel.send() raises exception → PipelineWarning with step='send'."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        channel=ExceptionalChannel(),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "send"
    assert "XMPP send failed" in errors[0].message


def test_runner_pipeline_critical_error_from_non_blocking_step_propagates(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """PipelineCriticalError from non-blocking step propagates and stops pipeline."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        channel=CriticalChannel(),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    # Pipeline should return None data and critical error in errors list
    assert data is None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineCriticalError)
    assert errors[0].step == "send"
    assert "Critical send failure" in errors[0].message


def test_runner_blog_success_delivers_articles_into_xmpp_message_external_info(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Blog client returns articles → they appear in XmppMessage.external_info.blog_articles."""
    lesson, homework = pipeline_inputs
    calls: list[str] = []

    class SuccessBlogClient:
        """Blog client returning BlogRSSFetchResult with articles."""

        def fetch_and_parse(
            self,
            *,
            known_guids: frozenset[str] | None = None,
            etag: str | None = None,
            last_modified: str | None = None,
        ) -> BlogRSSFetchResult:
            """Return BlogRSSFetchResult with articles.

            :param known_guids: Known GUIDs (unused).
            :param etag: ETag header (unused).
            :param last_modified: Last-Modified header (unused).
            :return: BlogRSSFetchResult with articles.
            :rtype: BlogRSSFetchResult
            """
            del known_guids, etag, last_modified

            article = BlogArticle(
                id="article-1",
                title="Test Article",
                url="https://example.com/article1",
                published_at=datetime(2026, 9, 8, 12, 0, tzinfo=datetime.now().astimezone().tzinfo),
                updated_at=None,
                category="News",
                author="Test Author",
                content_html="<p>Test content</p>",
                content_text="Test content",
            )
            return BlogRSSFetchResult(
                articles=(article,),
                etag=None,
                last_modified=None,
                not_modified=False,
            )

    runner = PipelineRunner(
        settings=Settings(blog=Settings().blog.model_copy(update={"enabled": True})),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        blog_client=cast("BlogRSSClient | None", SuccessBlogClient()),
        blog_state=BlogRSSState(),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 0
    # Check that channel received message with external_info containing blog_articles
    channel = runner._channel
    assert channel is not None
    assert hasattr(channel, "messages")
    assert len(channel.messages) == 1
    xmpp_message = channel.messages[0]
    assert xmpp_message.external_info is not None
    assert len(xmpp_message.external_info.blog_articles) == 1
    assert xmpp_message.external_info.blog_articles[0].title == "Test Article"


def test_runner_secret_redaction_in_pipeline_errors(
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """A configured AI key in a non-URL exception is masked by the runner.

    The fake blog client embeds the raw API key in plain text, without any
    URL or ``key=value`` form: only the propagation of
    ``Settings.redaction_secrets()`` into ``PipelineRunner._redact()`` can
    mask it. No network call is performed.
    """
    lesson, homework = pipeline_inputs
    calls: list[str] = []
    secret = SecretStr("sk-test-sentinel-12345")

    class SecretLeakingBlogClient:
        """Blog client raising an exception containing a raw configured secret."""

        def fetch_and_parse(
            self,
            *,
            known_guids: frozenset[str] | None = None,
            etag: str | None = None,
            last_modified: str | None = None,
        ) -> Any:
            """Raise an exception embedding the raw API key.

            :param known_guids: Known GUIDs (unused).
            :param etag: ETag header (unused).
            :param last_modified: Last-Modified header (unused).
            :return: Never returns.
            :raises RuntimeError: Always.
            """
            del known_guids, etag, last_modified
            raise RuntimeError(f"API key {secret.get_secret_value()} rejected")

    runner = PipelineRunner(
        settings=Settings(
            ai=AISettings(api_key=secret),
            blog=Settings().blog.model_copy(update={"enabled": True}),
        ),
        pronote_fetcher=StubFetcher(calls, lesson, homework),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        agenda_comparator=cast("AgendaComparator | None", StubComparator(calls)),
        blog_client=cast("BlogRSSClient | None", SecretLeakingBlogClient()),
        blog_state=BlogRSSState(),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 1
    assert isinstance(errors[0], PipelineWarning)
    assert errors[0].step == "fetch_blog"
    # The configured AI key must be masked through _redact(), not by a
    # generic URL pattern: the message contains no URL nor key=value form.
    assert secret.get_secret_value() not in errors[0].message
    assert "REDACTED" in errors[0].message


def test_runner_empty_agenda_homework_accepted_as_success() -> None:
    """Empty agenda and homework lists → pipeline succeeds (no critical error)."""
    calls: list[str] = []

    runner = PipelineRunner(
        settings=Settings(),
        pronote_fetcher=EmptyFetcher(),
        caldav_synchronizer=lambda data, settings: successful_sync_result(),
        channel=StubChannel(calls),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )

    data, errors = runner.run()

    assert data is not None
    assert len(errors) == 0
    assert data.lessons == []
    assert data.homeworks == []


def test_runner_ical_cache_cleanup_on_second_run(
    monkeypatch: pytest.MonkeyPatch,
    pipeline_inputs: tuple[Lesson, Homework],
) -> None:
    """Two independent PipelineRunner.run() calls each trigger their own iCal download."""
    import pronote_sync.sources.pronote.fallback as fallback_module

    lesson, _ = pipeline_inputs
    settings = Settings(
        pronote=PronoteSettings(
            ical_url=SecretStr("https://pronote.example.test/calendar.ics"),
            agenda_source="ical",
            homework_source="ical",
        )
    )
    fetch_calls: list[str] = []
    monkeypatch.setattr(
        fallback_module,
        "fetch_ical",
        lambda url: _record_ical_fetch(fetch_calls, url),
    )
    monkeypatch.setattr(fallback_module, "parse_ical", lambda raw: ([lesson], [], []))

    class NoMessageClient:
        """Minimal pronotepy client for non-critical M11 fetches."""

        def get_messages(self) -> list[Message]:
            """Return no messages.

            :return: An empty list.
            :rtype: list[Message]
            """
            return []

        def get_informations(self) -> list[Message]:
            """Return no information messages.

            :return: An empty list.
            :rtype: list[Message]
            """
            return []

        def get_lessons(self, start: date, end: date) -> list[Lesson]:
            """Return no fallback lessons.

            :param start: Start date (unused).
            :param end: End date (unused).
            :return: Empty list.
            :rtype: list[Lesson]
            """
            del start, end
            return []

        def get_homeworks(self, start: date, end: date) -> list[Homework]:
            """Return no fallback homework.

            :param start: Start date (unused).
            :param end: End date (unused).
            :return: Empty list.
            :rtype: list[Homework]
            """
            del start, end
            return []

    # First run
    runner1 = PipelineRunner(
        settings=settings,
        pronote_fetcher=PronoteFetcher(settings, NoMessageClient()),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )
    data1, errors1 = runner1.run()

    # Second run
    runner2 = PipelineRunner(
        settings=settings,
        pronote_fetcher=PronoteFetcher(settings, NoMessageClient()),
        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
    )
    data2, errors2 = runner2.run()

    assert data1 is not None
    assert data2 is not None
    assert errors1 == []
    assert errors2 == []
    # Each run should have triggered its own iCal download
    assert fetch_calls == [
        "https://pronote.example.test/calendar.ics",
        "https://pronote.example.test/calendar.ics",
    ]