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# to you under the Apache License, Version 2.0 (the
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#
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#
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from __future__ import annotations

import glob
import os
import tempfile
from collections.abc import Iterator
from contextlib import ExitStack
from typing import Any
from unittest import mock

import pytest
from celery.exceptions import SoftTimeLimitExceeded

from superset.utils import json

MODULE = "superset.tasks.export_dashboard_excel"


# A minimal valid 1x1 transparent PNG for image-mode tests.
_PNG_1x1 = (
    b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01\x08\x06"
    b"\x00\x00\x00\x1f\x15\xc4\x89\x00\x00\x00\rIDATx\x9cc\x00\x01\x00\x00\x05\x00"
    b"\x01\r\n-\xb4\x00\x00\x00\x00IEND\xaeB`\x82"
)


def _chart(
    chart_id: int,
    name: str,
    has_context: bool = True,
    viz_type: str = "line",
) -> mock.MagicMock:
    chart = mock.MagicMock()
    chart.id = chart_id
    chart.slice_name = name
    chart.viz_type = viz_type
    chart.query_context = json.dumps({"queries": [{}]}) if has_context else None
    return chart


def _media(path: str) -> list[str]:
    """Embedded media entries of an xlsx (which is a zip archive)."""
    import zipfile

    with zipfile.ZipFile(path) as archive:
        return [n for n in archive.namelist() if n.startswith("xl/media/")]


@pytest.fixture
def mocks() -> Iterator[dict[str, Any]]:
    """Patch every external dependency of the task; keep the real xlsx writer."""
    with ExitStack() as stack:
        # Use explicit MagicMock instances: patch() auto-creates async-flavored
        # mocks for these targets (their real objects expose async members), which
        # would make calls like security_manager.get_user_by_id() return coroutines.
        patched = {
            name: stack.enter_context(
                mock.patch(f"{MODULE}.{name}", new=mock.MagicMock())
            )
            for name in (
                "security_manager",
                "db",
                "get_charts_in_layout_order",
                "get_dashboard_filter_context",
                "ChartDataQueryContextSchema",
                "ChartDataCommand",
                "render_chart_image",
                "s3",
                "email",
                "cache_manager",
            )
        }
        user = mock.MagicMock()
        user.email = "user@example.com"
        patched["security_manager"].get_user_by_id.return_value = user

        dashboard = mock.MagicMock()
        dashboard.id = 1
        dashboard.dashboard_title = "Sales"
        patched[
            "db"
        ].session.query.return_value.filter_by.return_value.one_or_none.return_value = (  # noqa: E501
            dashboard
        )

        patched["get_dashboard_filter_context"].return_value.extra_form_data = {}
        patched["s3"].generate_presigned_url.return_value = "https://signed/file.xlsx"

        patched["user"] = user
        patched["dashboard"] = dashboard
        yield patched


def _run(
    job_id: str = "job-1",
    mode: str = "data",
    inflight_key: str | None = None,
) -> None:
    from superset.tasks.export_dashboard_excel import export_dashboard_excel

    export_dashboard_excel(
        dashboard_id=1,
        user_id=2,
        active_data_mask={},
        job_id=job_id,
        mode=mode,
        inflight_key=inflight_key,
    )


def _no_temp_files_left(job_id: str) -> bool:
    pattern = os.path.join(tempfile.gettempdir(), f"dash-export-{job_id}-*")
    return glob.glob(pattern) == []


def _read_sheets(path: str) -> dict[str, list[list[object]]]:
    openpyxl = pytest.importorskip("openpyxl")
    workbook = openpyxl.load_workbook(path, read_only=True)
    sheets = {
        ws.title: [list(r) for r in ws.iter_rows(values_only=True)]
        for ws in workbook.worksheets
    }
    workbook.close()
    return sheets


def test_happy_path_uploads_and_emails(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "First"),
        _chart(20, "Second"),
    ]
    mocks["ChartDataCommand"].return_value.run.side_effect = [
        {"queries": [{"colnames": ["a", "b"], "data": [{"a": 1, "b": 2}]}]},
        {"queries": [{"colnames": ["c"], "data": [{"c": "x"}]}]},
    ]

    # Capture the workbook before the task deletes it.
    uploaded: dict[str, Any] = {}

    def _capture(path: str, bucket: str, key: str) -> None:
        uploaded["sheets"] = _read_sheets(path)

    mocks["s3"].upload_file_to_s3.side_effect = _capture

    _run()

    mocks["s3"].upload_file_to_s3.assert_called_once()
    assert list(uploaded["sheets"].keys()) == ["10 - First", "20 - Second"]
    mocks["email"].send_export_email.assert_called_once()
    mocks["email"].build_success_email.assert_called_once()
    assert _no_temp_files_left("job-1")


def test_chart_without_query_context_is_skipped(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "Good"),
        _chart(20, "NoContext", has_context=False),
    ]
    mocks["ChartDataCommand"].return_value.run.return_value = {
        "queries": [{"colnames": ["a"], "data": [{"a": 1}]}]
    }

    _run()

    _, kwargs = mocks["email"].build_success_email.call_args
    assert kwargs["errored"] == {
        mocks["email"].ERROR_NO_QUERY_CONTEXT: ["20 - NoContext"]
    }


def test_chart_query_error_grouped_as_general_export_continues(
    mocks: dict[str, Any],
) -> None:
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "Boom"),
        _chart(20, "Ok"),
    ]
    mocks["ChartDataCommand"].return_value.run.side_effect = [
        RuntimeError("query failed"),
        {"queries": [{"colnames": ["a"], "data": [{"a": 1}]}]},
    ]

    _run()

    mocks["s3"].upload_file_to_s3.assert_called_once()
    _, kwargs = mocks["email"].build_success_email.call_args
    assert kwargs["errored"] == {mocks["email"].ERROR_GENERAL: ["10 - Boom"]}


def test_chart_timeout_grouped_as_timeout_export_continues(
    mocks: dict[str, Any],
) -> None:
    # A soft-timeout raised while a single chart runs is caught distinctly,
    # grouped under the timeout reason, and does not abort the whole export.
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "Slow"),
        _chart(20, "Ok"),
    ]
    mocks["ChartDataCommand"].return_value.run.side_effect = [
        SoftTimeLimitExceeded(),
        {"queries": [{"colnames": ["a"], "data": [{"a": 1}]}]},
    ]

    _run()

    mocks["s3"].upload_file_to_s3.assert_called_once()
    _, kwargs = mocks["email"].build_success_email.call_args
    assert kwargs["errored"] == {mocks["email"].ERROR_TIMEOUT: ["10 - Slow"]}


def test_all_charts_skipped_writes_summary(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "NoContext", has_context=False),
    ]
    uploaded: dict[str, Any] = {}

    def _capture(path: str, bucket: str, key: str) -> None:
        uploaded["sheets"] = _read_sheets(path)

    mocks["s3"].upload_file_to_s3.side_effect = _capture

    _run()

    assert "Export Summary" in uploaded["sheets"]
    mocks["email"].build_success_email.assert_called_once()


def test_upload_failure_sends_failure_email_and_cleans_up(
    mocks: dict[str, Any],
) -> None:
    mocks["get_charts_in_layout_order"].return_value = [_chart(10, "Good")]
    mocks["ChartDataCommand"].return_value.run.return_value = {
        "queries": [{"colnames": ["a"], "data": [{"a": 1}]}]
    }
    mocks["s3"].upload_file_to_s3.side_effect = RuntimeError("s3 down")

    with pytest.raises(RuntimeError):
        _run("job-fail")

    mocks["email"].build_failure_email.assert_called_once()
    mocks["email"].send_export_email.assert_called_once()
    assert _no_temp_files_left("job-fail")


def test_soft_time_limit_sends_failure_email(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].side_effect = SoftTimeLimitExceeded()

    with pytest.raises(SoftTimeLimitExceeded):
        _run("job-timeout")

    mocks["email"].build_failure_email.assert_called_once()
    assert _no_temp_files_left("job-timeout")


# --- image mode ---


def test_images_mode_embeds_non_table_and_keeps_tables_tabular(
    mocks: dict[str, Any],
) -> None:
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "Line", viz_type="line"),
        _chart(20, "Tbl", viz_type="table"),
    ]
    mocks["render_chart_image"].return_value = _PNG_1x1
    mocks["ChartDataCommand"].return_value.run.return_value = {
        "queries": [{"colnames": ["a"], "data": [{"a": 1}]}]
    }

    uploaded: dict[str, Any] = {}

    def _capture(path: str, bucket: str, key: str) -> None:
        uploaded["sheets"] = _read_sheets(path)
        uploaded["media"] = _media(path)

    mocks["s3"].upload_file_to_s3.side_effect = _capture

    _run(mode="images")

    # The non-table chart is rendered as an image (with the requesting user)...
    mocks["render_chart_image"].assert_called_once()
    render_args = mocks["render_chart_image"].call_args[0]
    assert render_args[0].id == 10
    assert render_args[3] is mocks["user"]
    # ...and the table chart still goes through the data path.
    mocks["ChartDataCommand"].return_value.run.assert_called_once()

    assert set(uploaded["sheets"].keys()) == {"10 - Line", "20 - Tbl"}
    # Exactly one embedded image (the non-table chart).
    assert len(uploaded["media"]) == 1


def test_images_mode_renders_chart_without_query_context(
    mocks: dict[str, Any],
) -> None:
    # An image chart with no saved query context can still render.
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "Line", viz_type="line", has_context=False),
    ]
    mocks["render_chart_image"].return_value = _PNG_1x1

    uploaded: dict[str, Any] = {}

    def _capture(path: str, bucket: str, key: str) -> None:
        uploaded["media"] = _media(path)

    mocks["s3"].upload_file_to_s3.side_effect = _capture

    _run(mode="images")

    mocks["render_chart_image"].assert_called_once()
    assert len(uploaded["media"]) == 1


def test_images_mode_none_render_is_skipped(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].return_value = [
        _chart(10, "Line", viz_type="line"),
    ]
    mocks["render_chart_image"].return_value = None

    uploaded: dict[str, Any] = {}

    def _capture(path: str, bucket: str, key: str) -> None:
        uploaded["sheets"] = _read_sheets(path)

    mocks["s3"].upload_file_to_s3.side_effect = _capture

    _run(mode="images")

    # A chart that cannot render is grouped under the general-error reason.
    _, kwargs = mocks["email"].build_success_email.call_args
    assert kwargs["errored"] == {mocks["email"].ERROR_GENERAL: ["10 - Line"]}
    # Nothing rendered → the summary sheet stands in for an empty workbook.
    assert "Export Summary" in uploaded["sheets"]


def test_inflight_lock_cleared_on_success(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].return_value = [_chart(10, "Good")]
    mocks["ChartDataCommand"].return_value.run.return_value = {
        "queries": [{"colnames": ["a"], "data": [{"a": 1}]}]
    }

    _run(inflight_key="excel-export-inflight:2:1")

    mocks["cache_manager"].cache.delete.assert_called_once_with(
        "excel-export-inflight:2:1"
    )


def test_inflight_lock_cleared_on_failure(mocks: dict[str, Any]) -> None:
    mocks["get_charts_in_layout_order"].return_value = [_chart(10, "Good")]
    mocks["ChartDataCommand"].return_value.run.return_value = {
        "queries": [{"colnames": ["a"], "data": [{"a": 1}]}]
    }
    mocks["s3"].upload_file_to_s3.side_effect = RuntimeError("s3 down")

    with pytest.raises(RuntimeError):
        _run("job-fail", inflight_key="excel-export-inflight:2:1")

    # The lock is freed in ``finally`` even when the export fails.
    mocks["cache_manager"].cache.delete.assert_called_once_with(
        "excel-export-inflight:2:1"
    )