"""
Test for scale operation analysis feature.

Run with: pytest tests/test_scale_operation.py -v
"""

import asyncio
import sys
from datetime import datetime, timedelta, timezone
from enum import Enum
from unittest.mock import AsyncMock, MagicMock, patch

import pytest

# ============== Mock Classes (avoiding external dependencies) ==============


class ScaleOperationStatus(Enum):
    PENDING = "PENDING"
    PROCESSING = "PROCESSING"
    COMPLETED = "COMPLETED"
    FAILED = "FAILED"


class ScaleType(Enum):
    SCALE_IN = "SCALE_IN"
    SCALE_UP_DOWN = "SCALE_UP_DOWN"


class ClusterEvent:
    """Mock ClusterEvent class."""

    def __init__(
        self,
        event_id: str | None = None,
        name: str = "",
        display_name: str = "",
        create_time: int = 0,
        payload: dict | None = None,
    ):
        self.event_id = event_id
        self.name = name
        self.display_name = display_name
        self.create_time = create_time
        self.payload = payload or {}


# ============== Mock Data ==============


def create_mock_issue(issue_key: str, labels: dict) -> MagicMock:
    """Create a mock JIRA issue."""
    issue = MagicMock()
    issue.key = issue_key
    issue.fields = MagicMock()
    issue.fields.labels = [
        MagicMock(name=key, value=value) for key, value in labels.items()
    ]
    issue.fields.assignee = MagicMock()
    issue.fields.assignee.accountId = "test-account-id"
    issue.fields.assignee.emailAddress = "test@example.com"
    return issue


def create_mock_cluster_event(
    event_id: str,
    name: str,
    create_time: int,
    status: str = "Start",
    topology_before: dict | None = None,
    topology_after: dict | None = None,
) -> ClusterEvent:
    """Create a mock cluster event."""
    extra_info = {}
    if topology_before:
        extra_info["topology_before"] = topology_before
    if topology_after:
        extra_info["topology_after"] = topology_after

    payload = {
        "detail": {
            "status": status,
            "extra_info": extra_info,
        }
    }

    return ClusterEvent(
        event_id=event_id,
        name=name,
        display_name=name,
        create_time=create_time,
        payload=payload,
    )


def create_scale_in_topology() -> tuple[dict, dict]:
    """Create topology for scale-in scenario (reducing TiDB quantity from 60 to 5)."""
    topology_before = {
        "components": {
            "tidb": {"quantity": 60, "tier_name": "16C32G"},
            "tikv": {"quantity": 36, "tier_name": "32C128G"},
            "pd": {"quantity": 3, "tier_name": "64C128G"},
        }
    }
    topology_after = {
        "components": {
            "tidb": {"quantity": 5, "tier_name": "16C32G"},
            "tikv": {"quantity": 36, "tier_name": "32C128G"},
            "pd": {"quantity": 3, "tier_name": "64C128G"},
        }
    }
    return topology_before, topology_after


def create_scale_down_topology() -> tuple[dict, dict]:
    """Create topology for scale-down scenario (reducing TiKV tier)."""
    topology_before = {
        "components": {
            "tidb": {"quantity": 5, "tier_name": "16C32G"},
            "tikv": {"quantity": 10, "tier_name": "32C128G"},
            "pd": {"quantity": 3, "tier_name": "64C128G"},
        }
    }
    topology_after = {
        "components": {
            "tidb": {"quantity": 5, "tier_name": "16C32G"},
            "tikv": {"quantity": 10, "tier_name": "16C64G"},  # Tier changed
            "pd": {"quantity": 3, "tier_name": "64C128G"},
        }
    }
    return topology_before, topology_after


# ============== Test Helper Functions ==============


class MockScaleOperationService:
    """Mock service for testing without actual database."""

    def __init__(self):
        self.scale_operations = {}
        self._id_counter = 1
        self.logger = MagicMock()

    def _extract_issue_info(self, issue: MagicMock, issue_key: str) -> dict:
        """Extract info from issue labels."""
        labels = {label.name: label.value for label in issue.fields.labels}
        return {
            "alert_name": labels.get("alertname", ""),
            "tenant_id": labels.get("tenant", ""),
            "cluster_id": labels.get("name", ""),
        }

    def _determine_scale_type_and_time(
        self, topology_before: dict, topology_after: dict
    ) -> tuple[ScaleType, int]:
        """Determine scale type and estimate time."""
        components_before = topology_before.get("components", {})
        components_after = topology_after.get("components", {})

        scale_type = ScaleType.SCALE_IN
        total_reduced_quantity = 0
        total_quantity = 0

        for component_name in ["tidb", "tikv", "pd"]:
            comp_before = components_before.get(component_name, {})
            comp_after = components_after.get(component_name, {})

            quantity_before = comp_before.get("quantity", 0)
            quantity_after = comp_after.get("quantity", 0)

            if quantity_after < quantity_before:
                reduced = quantity_before - quantity_after
                total_reduced_quantity += reduced

            tier_before = comp_before.get("tier_name", "")
            tier_after = comp_after.get("tier_name", "")

            if tier_before != tier_after:
                scale_type = ScaleType.SCALE_UP_DOWN
                total_quantity += quantity_after

        if scale_type == ScaleType.SCALE_UP_DOWN and total_quantity == 0:
            scale_type = ScaleType.SCALE_IN
            total_reduced_quantity = 1

        if scale_type == ScaleType.SCALE_IN:
            estimated_minutes = 50 * max(1, total_reduced_quantity)
        else:
            estimated_minutes = 8 * max(1, total_quantity)

        return scale_type, estimated_minutes

    def _extract_topology_info(self, event: ClusterEvent) -> dict | None:
        """Extract topology from event payload."""
        payload = event.payload or {}
        detail = payload.get("detail", {})
        extra_info = detail.get("extra_info", {})

        topology_before = extra_info.get("topology_before", {})
        topology_after = extra_info.get("topology_after", {})

        if not topology_before or not topology_after:
            return None

        return {"before": topology_before, "after": topology_after}


# ============== Test Cases ==============


class TestScaleTypeDetermination:
    """Test cases for scale type determination."""

    def test_scale_in_reduce_quantity(self):
        """Test scale-in when reducing component quantity."""
        service = MockScaleOperationService()
        before, after = create_scale_in_topology()

        scale_type, estimated_minutes = service._determine_scale_type_and_time(
            before, after
        )

        assert scale_type == ScaleType.SCALE_IN
        assert estimated_minutes == 50 * 55  # 60-5=55 TiDB reduced

    def test_scale_down_change_tier(self):
        """Test scale-down when changing component tier."""
        service = MockScaleOperationService()
        before, after = create_scale_down_topology()

        scale_type, estimated_minutes = service._determine_scale_type_and_time(
            before, after
        )

        assert scale_type == ScaleType.SCALE_UP_DOWN
        assert estimated_minutes == 8 * 10  # 10 TiKV components

    def test_scale_in_multiple_components(self):
        """Test scale-in with multiple components reduced."""
        service = MockScaleOperationService()
        topology_before = {
            "components": {
                "tidb": {"quantity": 10, "tier_name": "16C32G"},
                "tikv": {"quantity": 20, "tier_name": "32C128G"},
                "pd": {"quantity": 5, "tier_name": "64C128G"},
            }
        }
        topology_after = {
            "components": {
                "tidb": {"quantity": 5, "tier_name": "16C32G"},  # -5
                "tikv": {"quantity": 15, "tier_name": "32C128G"},  # -5
                "pd": {"quantity": 3, "tier_name": "64C128G"},  # -2
            }
        }

        scale_type, estimated_minutes = service._determine_scale_type_and_time(
            topology_before, topology_after
        )

        assert scale_type == ScaleType.SCALE_IN
        assert estimated_minutes == 50 * 12  # 5+5+2=12 total reduced

    def test_scale_out_increases_quantity(self):
        """Test that scale-out (increasing) is detected correctly."""
        service = MockScaleOperationService()
        topology_before = {
            "components": {
                "tidb": {"quantity": 5, "tier_name": "16C32G"},
                "tikv": {"quantity": 10, "tier_name": "32C128G"},
            }
        }
        topology_after = {
            "components": {
                "tidb": {"quantity": 8, "tier_name": "16C32G"},  # +3
                "tikv": {"quantity": 15, "tier_name": "32C128G"},  # +5
            }
        }

        scale_type, estimated_minutes = service._determine_scale_type_and_time(
            topology_before, topology_after
        )

        # Scale-out should still be treated as SCALE_IN but no reduction detected
        # Since no reduction, it defaults to minimum (50 min)
        assert scale_type == ScaleType.SCALE_IN
        assert estimated_minutes == 50  # Minimum, no reduction detected

    def test_no_change(self):
        """Test when there's no topology change."""
        service = MockScaleOperationService()
        topology = {
            "components": {
                "tidb": {"quantity": 5, "tier_name": "16C32G"},
                "tikv": {"quantity": 10, "tier_name": "32C128G"},
            }
        }

        scale_type, estimated_minutes = service._determine_scale_type_and_time(
            topology, topology
        )

        # No reduction detected, default to SCALE_IN with minimum time
        assert scale_type == ScaleType.SCALE_IN
        assert estimated_minutes == 50  # Minimum 1 unit


class TestTopologyExtraction:
    """Test cases for topology extraction from events."""

    def test_extract_valid_topology(self):
        """Test extracting valid topology from event."""
        service = MockScaleOperationService()
        before, after = create_scale_in_topology()
        event = create_mock_cluster_event(
            event_id="evt-123",
            name="ModifyClusterSize",
            create_time=int(datetime.now(timezone.utc).timestamp()),
            topology_before=before,
            topology_after=after,
        )

        result = service._extract_topology_info(event)

        assert result is not None
        assert "before" in result
        assert "after" in result
        assert result["before"]["components"]["tidb"]["quantity"] == 60
        assert result["after"]["components"]["tidb"]["quantity"] == 5

    def test_extract_missing_topology(self):
        """Test when topology is missing from event."""
        service = MockScaleOperationService()
        event = create_mock_cluster_event(
            event_id="evt-123",
            name="ModifyClusterSize",
            create_time=int(datetime.now(timezone.utc).timestamp()),
            topology_before=None,
            topology_after=None,
        )

        result = service._extract_topology_info(event)

        assert result is None


class TestIssueInfoExtraction:
    """Test cases for extracting info from JIRA issues."""

    def test_extract_valid_labels(self):
        """Test extracting valid labels from issue."""
        issue = MagicMock()
        issue.key = "JSM-123"

        # Create labels with actual string attributes
        class MockLabel:
            def __init__(self, name, value):
                self.name = name
                self.value = value

        mock_labels = {
            "alertname": "HighCPUUsage",
            "tenant": "tenant-123",
            "name": "cluster-456",
        }

        issue.fields.labels = [MockLabel(k, v) for k, v in mock_labels.items()]

        # Use the actual extraction logic
        def extract_issue_info(issue):
            labels = {label.name: label.value for label in issue.fields.labels}
            return {
                "alert_name": labels.get("alertname", ""),
                "tenant_id": labels.get("tenant", ""),
                "cluster_id": labels.get("name", ""),
            }

        result = extract_issue_info(issue)

        assert result["alert_name"] == "HighCPUUsage"
        assert result["tenant_id"] == "tenant-123"
        assert result["cluster_id"] == "cluster-456"

    def test_extract_missing_tenant(self):
        """Test when tenant label is missing."""

        class MockLabel:
            def __init__(self, name, value):
                self.name = name
                self.value = value

        issue = MagicMock()
        issue.fields.labels = [
            MockLabel("alertname", "HighCPUUsage"),
            MockLabel("name", "cluster-456"),
        ]

        def extract_issue_info(issue):
            labels = {label.name: label.value for label in issue.fields.labels}
            tenant_id = labels.get("tenant", "")
            if not tenant_id:
                raise ValueError(f"Tenant ID not found in labels")
            return {"tenant_id": tenant_id}

        with pytest.raises(ValueError, match="Tenant ID not found"):
            extract_issue_info(issue)

    def test_extract_missing_cluster(self):
        """Test when cluster name label is missing."""

        class MockLabel:
            def __init__(self, name, value):
                self.name = name
                self.value = value

        issue = MagicMock()
        issue.fields.labels = [
            MockLabel("alertname", "HighCPUUsage"),
            MockLabel("tenant", "tenant-123"),
        ]

        def extract_issue_info(issue):
            labels = {label.name: label.value for label in issue.fields.labels}
            cluster_id = labels.get("name", "")
            if not cluster_id:
                raise ValueError(f"Cluster ID not found in labels")
            return {"cluster_id": cluster_id}

        with pytest.raises(ValueError, match="Cluster ID not found"):
            extract_issue_info(issue)


class TestScaleOperationModel:
    """Test cases for ScaleOperation model."""

    def test_scale_operation_status_enum(self):
        """Test ScaleOperationStatus enum values."""
        assert ScaleOperationStatus.PENDING.value == "PENDING"
        assert ScaleOperationStatus.PROCESSING.value == "PROCESSING"
        assert ScaleOperationStatus.COMPLETED.value == "COMPLETED"
        assert ScaleOperationStatus.FAILED.value == "FAILED"

    def test_scale_type_enum(self):
        """Test ScaleType enum values."""
        assert ScaleType.SCALE_IN.value == "SCALE_IN"
        assert ScaleType.SCALE_UP_DOWN.value == "SCALE_UP_DOWN"

    def test_status_transitions(self):
        """Test valid status transitions."""
        # Test all status values exist
        statuses = [
            ScaleOperationStatus.PENDING,
            ScaleOperationStatus.PROCESSING,
            ScaleOperationStatus.COMPLETED,
            ScaleOperationStatus.FAILED,
        ]
        assert len(statuses) == 4

    def test_scale_type_values(self):
        """Test scale type enum values."""
        scale_types = [ScaleType.SCALE_IN, ScaleType.SCALE_UP_DOWN]
        assert len(scale_types) == 2


class TestMockClusterEvent:
    """Test cases for mock cluster event creation."""

    def test_create_event_with_topology(self):
        """Test creating a cluster event with topology data."""
        event = create_mock_cluster_event(
            event_id="evt-001",
            name="ModifyClusterSize",
            create_time=1700000000,
            topology_before={"components": {"tidb": {"quantity": 10}}},
            topology_after={"components": {"tidb": {"quantity": 5}}},
        )

        assert event.event_id == "evt-001"
        assert event.name == "ModifyClusterSize"
        assert event.create_time == 1700000000
        assert event.payload["detail"]["status"] == "Start"
        assert (
            event.payload["detail"]["extra_info"]["topology_before"]["components"][
                "tidb"
            ]["quantity"]
            == 10
        )


# ============== Integration Test (requires database) ==============


def test_full_workflow_simulation():
    """
    Simulate the full scale operation workflow.

    This test simulates the workflow without actual database/API calls.
    Run with: pytest tests/test_scale_operation.py::test_full_workflow_simulation -v
    """
    service = MockScaleOperationService()

    # Step 1: Create mock issue
    mock_labels = {
        "alertname": "StorageCapacityHigh",
        "tenant": "org-001",
        "name": "prod-cluster-01",
    }

    class MockLabel:
        def __init__(self, name, value):
            self.name = name
            self.value = value

    issue = MagicMock()
    issue.fields.labels = [MockLabel(k, v) for k, v in mock_labels.items()]

    # Extract issue info
    def extract_issue_info(issue):
        labels = {label.name: label.value for label in issue.fields.labels}
        return {
            "alert_name": labels.get("alertname", ""),
            "tenant_id": labels.get("tenant", ""),
            "cluster_id": labels.get("name", ""),
        }

    issue_info = extract_issue_info(issue)

    assert issue_info["tenant_id"] == "org-001"
    assert issue_info["cluster_id"] == "prod-cluster-01"

    # Step 2: Simulate event processing
    before, after = create_scale_in_topology()
    topology_info = {
        "before": before,
        "after": after,
    }

    scale_type, estimated_minutes = service._determine_scale_type_and_time(
        topology_info["before"], topology_info["after"]
    )

    assert scale_type == ScaleType.SCALE_IN
    assert estimated_minutes == 2750  # 50 * 55

    # Step 3: Calculate estimated end time
    event_start = datetime.now(timezone.utc)
    estimated_end = event_start + timedelta(minutes=estimated_minutes)

    assert estimated_end > event_start
    assert (estimated_end - event_start).total_seconds() / 60 == 2750

    print(f"""
    Workflow Simulation Results:
    - Issue Key: JSM-789
    - Cluster: prod-cluster-01
    - Scale Type: {scale_type.value}
    - Estimated Duration: {estimated_minutes} minutes
    - Event Start: {event_start.isoformat()}
    - Estimated End: {estimated_end.isoformat()}
    """)


# ============== Run Tests ==============

if __name__ == "__main__":
    # Run all tests
    pytest.main([__file__, "-v"])