import pytest
from pydantic import ValidationError as PydanticValidationError

from src.models.list_metrics import ListMetricsRequest


class TestListMetricsRequest:
    def test_match_accepts_series_selector(self):
        req = ListMetricsRequest.model_validate(
            {
                "cluster_id": "123",
                "env": "prod",
                "deploy_type": "premium",
                "match": '{__name__=~"topsql_.*"}',
            }
        )
        assert req.match == '{__name__=~"topsql_.*"}'

    def test_match_allows_non_regex_string(self):
        req = ListMetricsRequest.model_validate(
            {
                "cluster_id": "123",
                "env": "prod",
                "deploy_type": "premium",
                "match": "not-a-regex[",
            }
        )
        assert req.match == "not-a-regex["

    def test_limit_bounds(self):
        with pytest.raises(PydanticValidationError):
            ListMetricsRequest.model_validate(
                {
                    "cluster_id": "123",
                    "env": "prod",
                    "deploy_type": "premium",
                    "limit": 0,
                }
            )

    def test_accepts_start_end(self):
        req = ListMetricsRequest.model_validate(
            {
                "cluster_id": "123",
                "env": "prod",
                "deploy_type": "premium",
                "start": "2024-01-01T00:00:00Z",
                "end": "2024-01-01T01:00:00Z",
            }
        )
        assert req.start == "2024-01-01T00:00:00Z"
        assert req.end == "2024-01-01T01:00:00Z"

    def test_rejects_invalid_start(self):
        with pytest.raises(PydanticValidationError):
            ListMetricsRequest.model_validate(
                {
                    "cluster_id": "123",
                    "env": "prod",
                    "deploy_type": "premium",
                    "start": "bad-time",
                }
            )
        with pytest.raises(PydanticValidationError):
            ListMetricsRequest.model_validate(
                {
                    "cluster_id": "123",
                    "env": "prod",
                    "deploy_type": "premium",
                    "limit": 501,
                }
            )