from __future__ import annotations

import unittest
import sys
from datetime import datetime, timezone
from pathlib import Path
from typing import Any


PACKAGE_DIR = Path(__file__).resolve().parents[1] / "modelhub_submmit_api"
if str(PACKAGE_DIR) in sys.path:
    sys.path.remove(str(PACKAGE_DIR))
sys.path.insert(0, str(PACKAGE_DIR))

from modelhub_client import ModelHubClient, ModelHubClientPool  # noqa: E402
from queue_cleanup import (  # noqa: E402
    OwnedTask,
    cleanup_certain_oom_tasks,
    find_certain_oom_tasks,
    find_old_overflow_tasks,
)


GIB = 1024**3


class FakeQueueClient:
    def __init__(
        self,
        records: list[dict[str, Any]],
        *,
        disappear_on_recheck: bool = False,
        drop_first_on_recheck: bool = False,
    ) -> None:
        self.records = list(records)
        self.disappear_on_recheck = disappear_on_recheck
        self.drop_first_on_recheck = drop_first_on_recheck
        self.waiting_reads = 0
        self.stopped: list[list[int]] = []

    def list_tasks_page(self, *, status: str, **_kwargs: Any) -> dict[str, Any]:
        if status == "waiting":
            self.waiting_reads += 1
            if self.disappear_on_recheck and self.waiting_reads >= 2:
                records: list[dict[str, Any]] = []
            else:
                records = [record for record in self.records if record["status"] == "waiting"]
                if self.drop_first_on_recheck and self.waiting_reads >= 2:
                    records = sorted(records, key=lambda item: int(item["taskId"]))[1:]
        else:
            records = [record for record in self.records if record["status"] == status]
        return {"code": 0, "data": {"records": records, "pages": 1}}

    def stop_tasks(self, task_ids: list[int]) -> dict[str, Any]:
        self.stopped.append(list(task_ids))
        ids = set(task_ids)
        self.records = [record for record in self.records if int(record["taskId"]) not in ids]
        return {"code": 0, "data": None}

    def count_active_tasks(self, **_kwargs: Any) -> int:
        return len(self.records)


class FakeDiscovery:
    def __init__(
        self,
        sizes: dict[str, int | None],
        last_modified: dict[str, datetime | None] | None = None,
    ) -> None:
        self.sizes = sizes
        self.last_modified = last_modified or {}

    def list_repo_tree(self, repo_id: str) -> list[dict[str, Any]]:
        size = self.sizes[repo_id]
        if size is None:
            return [{"Path": "model.safetensors"}]
        return [{"Path": "model.safetensors", "Size": size}]

    def get_model_last_modified(self, repo_id: str) -> datetime | None:
        return self.last_modified.get(repo_id)


class RecordingHttpClient:
    def __init__(self) -> None:
        self.calls: list[tuple[str, str, dict[str, Any] | None, dict[str, Any] | None]] = []

    def request_json(
        self,
        method: str,
        path: str,
        *,
        query: dict[str, Any] | None = None,
        data: dict[str, Any] | None = None,
    ) -> dict[str, Any]:
        self.calls.append((method, path, query, data))
        return {"code": 0, "data": None}


class QueueCleanupTests(unittest.TestCase):
    def test_old_models_are_selected_only_after_each_accounts_first_eighty_tasks(self) -> None:
        now = datetime(2026, 8, 11, tzinfo=timezone.utc)
        tasks = [
            OwnedTask(0, index, "owner/old", "Iluvatar_bi-100", "waiting")
            for index in range(1, 82)
        ]
        tasks.append(OwnedTask(0, 82, "owner/recent", "Iluvatar_bi-100", "waiting"))

        selected, skipped = find_old_overflow_tasks(
            tasks,
            model_last_modified={
                "owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc),
                "owner/recent": datetime(2026, 8, 10, tzinfo=timezone.utc),
            },
            queue_threshold=80,
            recent_model_days=7,
            reference_time=now,
        )

        self.assertEqual([81], [item["taskId"] for item in selected])
        self.assertEqual(81, selected[0]["queuePosition"])
        self.assertEqual(1, skipped["recentOverflowTasks"])

    def test_old_overflow_task_is_not_stopped_if_it_moves_into_first_eighty(self) -> None:
        records = [
            {
                "taskId": index,
                "modelId": "owner/old",
                "gpuType": "Iluvatar_bi-100",
                "status": "waiting",
            }
            for index in range(1, 82)
        ]
        client = FakeQueueClient(records, drop_first_on_recheck=True)
        pool = ModelHubClientPool(
            [client],  # type: ignore[list-item]
            active_task_cap=100,
            old_model_queue_threshold=80,
        )
        summary = cleanup_certain_oom_tasks(
            pool,
            FakeDiscovery(
                {"owner/old": 1 * GIB},
                {"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
            ),  # type: ignore[arg-type]
            reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
            log=lambda _message: None,
        )

        self.assertEqual(1, summary["oldOverflowCount"])
        self.assertEqual(0, summary["cancelledCount"])
        self.assertEqual(1, summary["policyNoLongerAppliesCount"])
        self.assertEqual([], client.stopped)

    def test_cleanup_stops_old_task_beyond_eightieth_position(self) -> None:
        records = [
            {
                "taskId": index,
                "modelId": "owner/old",
                "gpuType": "Iluvatar_bi-100",
                "status": "waiting",
            }
            for index in range(1, 82)
        ]
        client = FakeQueueClient(records)
        pool = ModelHubClientPool(
            [client],  # type: ignore[list-item]
            active_task_cap=100,
            old_model_queue_threshold=80,
        )
        summary = cleanup_certain_oom_tasks(
            pool,
            FakeDiscovery(
                {"owner/old": 1 * GIB},
                {"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
            ),  # type: ignore[arg-type]
            reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
            log=lambda _message: None,
        )

        self.assertEqual(1, summary["oldOverflowCount"])
        self.assertEqual(1, summary["cancelledCount"])
        self.assertEqual([[81]], client.stopped)

    def test_dynamic_cleanup_keeps_positions_through_ninety_five(self) -> None:
        records = [
            {
                "taskId": index,
                "modelId": "owner/old",
                "gpuType": "Iluvatar_bi-100",
                "status": "waiting",
            }
            for index in range(1, 97)
        ]
        client = FakeQueueClient(records)
        pool = ModelHubClientPool(
            [client],  # type: ignore[list-item]
            active_task_cap=100,
            old_model_queue_threshold=80,
        )
        summary = cleanup_certain_oom_tasks(
            pool,
            FakeDiscovery(
                {"owner/old": 1 * GIB},
                {"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
            ),  # type: ignore[arg-type]
            age_queue_threshold=95,
            reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
            log=lambda _message: None,
        )

        self.assertEqual(95, summary["oldModelQueueThreshold"])
        self.assertEqual([96], [item["taskId"] for item in summary["oldOverflowTasks"]])
        self.assertEqual([[96]], client.stopped)

    def test_oom_is_removed_before_recalculating_old_overflow_positions(self) -> None:
        records = [
            {
                "taskId": index,
                "modelId": "owner/large" if index == 1 else "owner/old",
                "gpuType": "Iluvatar_bi-100",
                "status": "waiting",
            }
            for index in range(1, 83)
        ]
        client = FakeQueueClient(records)
        pool = ModelHubClientPool(
            [client],  # type: ignore[list-item]
            active_task_cap=100,
            old_model_queue_threshold=80,
        )
        summary = cleanup_certain_oom_tasks(
            pool,
            FakeDiscovery(
                {"owner/large": 40 * GIB, "owner/old": 1 * GIB},
                {"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
            ),  # type: ignore[arg-type]
            reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
            log=lambda _message: None,
        )

        self.assertEqual(1, summary["certainOomCount"])
        self.assertEqual([82], [item["taskId"] for item in summary["oldOverflowTasks"]])
        self.assertEqual([[1], [82]], client.stopped)

    def test_stop_tasks_uses_documented_put_endpoint_and_integer_ids(self) -> None:
        http = RecordingHttpClient()
        client = ModelHubClient(http_client=http)  # type: ignore[arg-type]

        client.stop_tasks(["12", 12, 13])

        self.assertEqual(
            [
                (
                    "PUT",
                    "/api/async/task/stop-create-contest-task",
                    None,
                    {"taskIds": [12, 13]},
                )
            ],
            http.calls,
        )

    def test_only_exact_size_capacity_failures_are_selected(self) -> None:
        tasks = [
            OwnedTask(0, 1, "owner/too-large", "Iluvatar_bi-100", "waiting"),
            OwnedTask(0, 2, "owner/fits", "Iluvatar_bi-100", "waiting"),
            OwnedTask(0, 3, "owner/unknown-size", "Iluvatar_bi-100", "waiting"),
            OwnedTask(0, 4, "owner/unknown-gpu", "new-gpu", "waiting"),
        ]

        selected, skipped = find_certain_oom_tasks(
            tasks,
            repository_sizes={
                "owner/too-large": 30 * GIB,
                "owner/fits": 20 * GIB,
                "owner/unknown-gpu": 30 * GIB,
            },
        )

        self.assertEqual([1], [item["taskId"] for item in selected])
        self.assertEqual(1, skipped["repositorySizeUnknown"])
        self.assertEqual(1, skipped["gpuCapacityUnknown"])
        self.assertEqual(1, skipped["fitsKnownCapacity"])

    def test_cleanup_stops_only_certain_oom_tasks_on_the_owning_account(self) -> None:
        first = FakeQueueClient(
            [
                {"taskId": 1, "modelId": "owner/large", "gpuType": "Iluvatar_bi-100", "status": "waiting"},
                {"taskId": 2, "modelId": "owner/small", "gpuType": "Iluvatar_bi-100", "status": "waiting"},
            ]
        )
        second = FakeQueueClient(
            [{"taskId": 3, "modelId": "owner/large", "gpuType": "MetaX_c-500", "status": "waiting"}]
        )
        pool = ModelHubClientPool([first, second], active_task_cap=100)  # type: ignore[list-item]

        summary = cleanup_certain_oom_tasks(
            pool,
            FakeDiscovery({"owner/large": 40 * GIB, "owner/small": 20 * GIB}),  # type: ignore[arg-type]
            log=lambda _message: None,
        )

        self.assertEqual(1, summary["certainOomCount"])
        self.assertEqual(1, summary["cancelledCount"])
        self.assertEqual([[1]], first.stopped)
        self.assertEqual([], second.stopped)

    def test_task_that_disappears_during_scan_is_not_stopped(self) -> None:
        client = FakeQueueClient(
            [{"taskId": 1, "modelId": "owner/large", "gpuType": "Iluvatar_bi-100", "status": "waiting"}],
            disappear_on_recheck=True,
        )
        pool = ModelHubClientPool([client], active_task_cap=100)  # type: ignore[list-item]

        summary = cleanup_certain_oom_tasks(
            pool,
            FakeDiscovery({"owner/large": 40 * GIB}),  # type: ignore[arg-type]
            log=lambda _message: None,
        )

        self.assertEqual(1, summary["certainOomCount"])
        self.assertEqual(0, summary["cancelledCount"])
        self.assertEqual(1, summary["noLongerActiveCount"])
        self.assertEqual([], client.stopped)


if __name__ == "__main__":
    unittest.main()