import { of } from 'rxjs';

import { DataQueryRequest, dateTime, LoadingState } from '@grafana/data';

import { createLokiDatasource } from './__mocks__/datasource';
import { getMockFrames } from './__mocks__/frames';
import { LokiDatasource } from './datasource';
import * as logsTimeSplit from './logsTimeSplitting';
import * as metricTimeSplit from './metricTimeSplitting';
import { runSplitQuery } from './querySplitting';
import { trackGroupedQueries } from './tracking';
import { LokiQuery, LokiQueryDirection, LokiQueryType } from './types';

jest.mock('./tracking');
jest.mock('uuid', () => ({
  v4: jest.fn().mockReturnValue('uuid'),
}));

describe('runSplitQuery()', () => {
  let datasource: LokiDatasource;
  const range = {
    from: dateTime('2023-02-08T05:00:00.000Z'),
    to: dateTime('2023-02-10T06:00:00.000Z'),
    raw: {
      from: dateTime('2023-02-08T05:00:00.000Z'),
      to: dateTime('2023-02-10T06:00:00.000Z'),
    },
  };

  const createRequest = (targets: LokiQuery[], overrides?: Partial<DataQueryRequest<LokiQuery>>) => {
    const request = {
      range,
      targets,
      intervalMs: 60000,
      requestId: 'TEST',
    } as DataQueryRequest<LokiQuery>;

    Object.assign(request, overrides);
    return request;
  };
  const request = createRequest([{ expr: 'count_over_time({a="b"}[1m])', refId: 'A' }]);
  beforeEach(() => {
    datasource = createLokiDatasource();
    jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [] }));
  });

  test('Splits datasource queries', async () => {
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
      // 3 days, 3 chunks, 3 requests.
      expect(datasource.runQuery).toHaveBeenCalledTimes(3);
    });
  });

  test('Metric queries with maxLines of 0 will execute', async () => {
    const request = createRequest([{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', maxLines: 0 }]);
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
      // 3 days, 3 chunks, 3 requests.
      expect(datasource.runQuery).toHaveBeenCalledTimes(3);
    });
  });

  test('Log queries with maxLines of 0 will NOT execute', async () => {
    const request = createRequest([{ expr: '{a="b"}', refId: 'A', maxLines: 0 }]);
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
      // Will not request a log query with maxLines of 0
      expect(datasource.runQuery).toHaveBeenCalledTimes(0);
    });
  });

  test('Returns a DataQueryResponse with the expected attributes', async () => {
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith((response) => {
      expect(response[0].data).toBeDefined();
      expect(response[0].state).toBe(LoadingState.Done);
      expect(response[0].key).toBeDefined();
    });
  });

  test('Correctly splits queries without step', async () => {
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
      expect(datasource.runQuery).toHaveBeenNthCalledWith(
        1,
        expect.objectContaining({
          requestId: 'TEST_3',
          intervalMs: 60000,
          range: expect.objectContaining({
            from: expect.objectContaining({
              //2023-02-10T05:00:00.000Z
              _i: 1676005200000,
            }),
            to: expect.objectContaining({
              // 2023-02-10T06:00:00.000Z
              _i: 1676008800000,
            }),
          }),
        })
      );

      expect(datasource.runQuery).toHaveBeenNthCalledWith(
        2,
        expect.objectContaining({
          requestId: 'TEST_2',
          intervalMs: 60000,
          range: expect.objectContaining({
            from: expect.objectContaining({
              // 2023-02-09T05:00:00.000Z
              _i: 1675918800000,
            }),
            to: expect.objectContaining({
              // 2023-02-10T04:59:00.000Z
              _i: 1676005140000,
            }),
          }),
        })
      );

      expect(datasource.runQuery).toHaveBeenNthCalledWith(
        3,
        expect.objectContaining({
          requestId: 'TEST_1',
          intervalMs: 60000,
          range: expect.objectContaining({
            from: expect.objectContaining({
              // 2023-02-08T05:00:00.000Z
              _i: 1675832400000,
            }),
            to: expect.objectContaining({
              // 2023-02-09T04:59:00.000Z
              _i: 1675918740000,
            }),
          }),
        })
      );
    });
  });

  test('Correctly splits queries with step', async () => {
    const req = { ...request };
    req.targets[0].step = '10s';
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
      expect(datasource.runQuery).toHaveBeenNthCalledWith(
        1,
        expect.objectContaining({
          requestId: 'TEST_3',
          intervalMs: 60000,
          range: expect.objectContaining({
            from: expect.objectContaining({
              //2023-02-10T05:00:00.000Z
              _i: 1676005200000,
            }),
            to: expect.objectContaining({
              // 2023-02-10T06:00:00.000Z
              _i: 1676008800000,
            }),
          }),
        })
      );

      expect(datasource.runQuery).toHaveBeenNthCalledWith(
        2,
        expect.objectContaining({
          requestId: 'TEST_2',
          intervalMs: 60000,
          range: expect.objectContaining({
            from: expect.objectContaining({
              // 2023-02-09T05:00:00.000Z
              _i: 1675918800000,
            }),
            to: expect.objectContaining({
              // 2023-02-10T04:59:50.000Z
              _i: 1676005190000,
            }),
          }),
        })
      );

      expect(datasource.runQuery).toHaveBeenNthCalledWith(
        3,
        expect.objectContaining({
          requestId: 'TEST_1',
          intervalMs: 60000,
          range: expect.objectContaining({
            from: expect.objectContaining({
              // 2023-02-08T05:00:00.000Z
              _i: 1675832400000,
            }),
            to: expect.objectContaining({
              // 2023-02-09T04:59:50.000Z
              _i: 1675918790000,
            }),
          }),
        })
      );
    });
  });

  test('Handles and reports errors', async () => {
    jest
      .spyOn(datasource, 'runQuery')
      .mockReturnValue(of({ state: LoadingState.Error, error: { refId: 'A', message: 'Error' }, data: [] }));
    await expect(runSplitQuery(datasource, request)).toEmitValuesWith((values) => {
      expect(values).toHaveLength(1);
      expect(values[0]).toEqual(
        expect.objectContaining({ error: { refId: 'A', message: 'Error' }, state: LoadingState.Streaming })
      );
    });
  });

  describe('Hidden and empty queries', () => {
    beforeAll(() => {
      jest.spyOn(logsTimeSplit, 'splitTimeRange').mockReturnValue([]);
      jest.spyOn(metricTimeSplit, 'splitTimeRange').mockReturnValue([]);
      jest.useFakeTimers().setSystemTime(new Date('Wed May 17 2023 17:20:12 GMT+0200'));
    });
    beforeEach(() => {
      jest.mocked(logsTimeSplit.splitTimeRange).mockClear();
      jest.mocked(logsTimeSplit.splitTimeRange).mockClear();
      jest.mocked(trackGroupedQueries).mockClear();
    });
    afterAll(() => {
      jest.mocked(logsTimeSplit.splitTimeRange).mockRestore();
      jest.mocked(metricTimeSplit.splitTimeRange).mockRestore();
      jest.useRealTimers();
    });
    test('Ignores hidden queries', async () => {
      const request = createRequest([
        { expr: 'count_over_time({a="b"}[1m])', refId: 'A', hide: true },
        { expr: '{a="b"}', refId: 'B' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        expect(logsTimeSplit.splitTimeRange).toHaveBeenCalled();
        expect(metricTimeSplit.splitTimeRange).not.toHaveBeenCalled();
        expect(trackGroupedQueries).toHaveBeenCalledTimes(1);
        expect(trackGroupedQueries).toHaveBeenCalledWith(
          {
            data: [],
            state: LoadingState.Done,
            key: 'uuid',
          },
          [
            {
              partition: [],
              request: {
                ...request,
                targets: request.targets.filter((query) => !query.hide),
              },
            },
          ],
          request,
          new Date(),
          { predefinedOperations: '' }
        );
      });
    });
    test('Ignores empty queries', async () => {
      const request = createRequest([
        { expr: 'count_over_time({a="b"}[1m])', refId: 'A' },
        { expr: '', refId: 'B' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        expect(logsTimeSplit.splitTimeRange).not.toHaveBeenCalled();
        expect(metricTimeSplit.splitTimeRange).toHaveBeenCalled();
        expect(trackGroupedQueries).toHaveBeenCalledTimes(1);
        expect(trackGroupedQueries).toHaveBeenCalledWith(
          {
            data: [],
            state: LoadingState.Done,
            key: 'uuid',
          },
          [
            {
              partition: [],
              request: {
                ...request,
                targets: request.targets.filter((query) => query.expr),
              },
            },
          ],
          request,
          new Date(),
          { predefinedOperations: '' }
        );
      });
    });
  });

  describe('Dynamic maxLines for logs requests', () => {
    const request = createRequest([{ expr: '{a="b"}', refId: 'A', maxLines: 4 }]);
    const { logFrameA } = getMockFrames();
    beforeEach(() => {
      jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [logFrameA], refId: 'A' }));
    });
    test('Stops requesting once maxLines of logs have been received', async () => {
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 2 responses of 2 logs, 2 requests
        expect(datasource.runQuery).toHaveBeenCalledTimes(2);
      });
    });
    test('Performs all the requests if maxLines has not been reached', async () => {
      request.targets[0].maxLines = 9999;
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 3 responses of 2 logs, 3 requests
        expect(datasource.runQuery).toHaveBeenCalledTimes(3);
      });
    });
    test('Performs all the requests if not a log query', async () => {
      request.targets[0].maxLines = 1;
      request.targets[0].expr = 'count_over_time({a="b"}[1m])';
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 3 responses of 2 logs, 3 requests
        expect(datasource.runQuery).toHaveBeenCalledTimes(3);
      });
    });
  });

  describe('Splitting multiple targets', () => {
    beforeEach(() => {
      jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [], refId: 'A' }));
    });
    test('Sends logs and metric queries individually', async () => {
      const request = createRequest([
        { expr: '{a="b"}', refId: 'A' },
        { expr: 'count_over_time({a="b"}[1m])', refId: 'B' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 1x Metric + 1x Log, 6 requests.
        expect(datasource.runQuery).toHaveBeenCalledTimes(6);
      });
    });
    test('Groups metric queries', async () => {
      const request = createRequest([
        { expr: 'count_over_time({a="b"}[1m])', refId: 'A' },
        { expr: 'count_over_time({c="d"}[1m])', refId: 'B' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 1x2 Metric, 3 requests.
        expect(datasource.runQuery).toHaveBeenCalledTimes(3);
      });
    });
    test('Groups logs queries', async () => {
      const request = createRequest([
        { expr: '{a="b"}', refId: 'A' },
        { expr: '{c="d"}', refId: 'B' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 1x2 Logs, 3 requests.
        expect(datasource.runQuery).toHaveBeenCalledTimes(3);
      });
    });
    test('Groups instant queries', async () => {
      const request = createRequest([
        { expr: 'count_over_time({a="b"}[1m])', refId: 'A', queryType: LokiQueryType.Instant },
        { expr: 'count_over_time({c="d"}[1m])', refId: 'B', queryType: LokiQueryType.Instant },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // Instant queries are omitted from splitting
        expect(datasource.runQuery).toHaveBeenCalledTimes(1);
      });
    });
    test('Respects maxLines of logs queries', async () => {
      const { logFrameA } = getMockFrames();
      const request = createRequest([
        { expr: '{a="b"}', refId: 'A', maxLines: logFrameA.fields[0].values.length },
        { expr: 'count_over_time({a="b"}[1m])', refId: 'B' },
      ]);
      jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [], refId: 'B' }));
      jest.spyOn(datasource, 'runQuery').mockReturnValueOnce(of({ data: [logFrameA], refId: 'A' }));

      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 1x Logs + 3x Metric, 3 requests.
        expect(datasource.runQuery).toHaveBeenCalledTimes(4);
      });
    });
    test('Groups multiple queries into logs, queries, instant', async () => {
      const request = createRequest([
        { expr: 'count_over_time({a="b"}[1m])', refId: 'A', queryType: LokiQueryType.Instant },
        { expr: '{c="d"}', refId: 'B' },
        { expr: 'count_over_time({c="d"}[1m])', refId: 'C' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 days, 3 chunks, 3x Logs + 3x Metric + (1x Instant), 7 requests.
        expect(datasource.runQuery).toHaveBeenCalledTimes(7);
      });
    });
  });

  describe('Splitting targets based on splitDuration', () => {
    const range1h = {
      from: dateTime('2023-02-08T05:00:00.000Z'),
      to: dateTime('2023-02-08T06:00:00.000Z'),
      raw: {
        from: dateTime('2023-02-08T05:00:00.000Z'),
        to: dateTime('2023-02-08T06:00:00.000Z'),
      },
    };
    beforeEach(() => {
      jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [], refId: 'A' }));
    });
    test('with 30m splitDuration runs 2 queries', async () => {
      const request = {
        targets: [{ expr: '{a="b"}', refId: 'A', splitDuration: '30m' }],
        range: range1h,
      } as DataQueryRequest<LokiQuery>;
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        expect(datasource.runQuery).toHaveBeenCalledTimes(2);
      });
    });
    test('with 1h splitDuration runs 1 queries', async () => {
      const request = {
        targets: [{ expr: '{a="b"}', refId: 'A', splitDuration: '1h' }],
        range: range1h,
      } as DataQueryRequest<LokiQuery>;
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        expect(datasource.runQuery).toHaveBeenCalledTimes(1);
      });
    });
    test('with 1h splitDuration and 2 targets runs 1 queries', async () => {
      const request = {
        targets: [
          { expr: '{a="b"}', refId: 'A', splitDuration: '1h' },
          { expr: '{a="b"}', refId: 'B', splitDuration: '1h' },
        ],
        range: range1h,
      } as DataQueryRequest<LokiQuery>;
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        expect(datasource.runQuery).toHaveBeenCalledTimes(1);
      });
    });
    test('with 1h/30m splitDuration and 2 targets runs 3 queries', async () => {
      const request = {
        targets: [
          { expr: '{a="b"}', refId: 'A', splitDuration: '1h' },
          { expr: '{a="b"}', refId: 'B', splitDuration: '30m' },
        ],
        range: range1h,
      } as DataQueryRequest<LokiQuery>;
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 2 x 30m + 1 x 1h
        expect(datasource.runQuery).toHaveBeenCalledTimes(3);
      });
    });
    test('with mixed splitDuration runs the expected amount of queries', async () => {
      const request = createRequest(
        [
          { expr: 'count_over_time({c="d"}[1m])', refId: 'A', splitDuration: '15m' },
          { expr: '{a="b"}', refId: 'B', splitDuration: '15m' },
          { expr: '{a="b"}', refId: 'C', splitDuration: '1h' },
        ],
        { range: range1h }
      );
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 4 * 15m + 4 * 15m + 1 * 1h
        expect(datasource.runQuery).toHaveBeenCalledTimes(9);
      });
    });
    test('with 1h/30m splitDuration and 1 log and 2 metric target runs 3 queries', async () => {
      const request = createRequest(
        [
          { expr: '{a="b"}', refId: 'A', splitDuration: '1h' },
          { expr: 'count_over_time({c="d"}[1m])', refId: 'C', splitDuration: '30m' },
        ],
        { range: range1h }
      );
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 2 x 30m + 1 x 1h
        expect(datasource.runQuery).toHaveBeenCalledTimes(3);
      });
    });
  });

  describe('Splitting targets based on resolution', () => {
    const range1d = {
      from: dateTime('2023-02-08T05:00:00.000Z'),
      to: dateTime('2023-02-09T05:00:00.000Z'),
      raw: {
        from: dateTime('2023-02-08T05:00:00.000Z'),
        to: dateTime('2023-02-09T05:00:00.000Z'),
      },
    };
    test('Groups logs queries by resolution', async () => {
      const request = createRequest(
        [
          { expr: '{a="b"}', refId: 'A', resolution: 3 },
          { expr: '{a="b"}', refId: 'B', resolution: 5 },
        ],
        { range: range1d }
      );
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // A, B
        expect(datasource.runQuery).toHaveBeenCalledTimes(2);
      });
    });
    test('Groups metric queries with no step by calculated stepMs', async () => {
      const request = createRequest(
        [
          { expr: 'count_over_time({a="b"}[1m])', refId: 'A', resolution: 3 },
          { expr: 'count_over_time{a="b"}[1m])', refId: 'B', resolution: 5 },
        ],
        { range: range1d }
      );
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // A, B
        expect(datasource.runQuery).toHaveBeenCalledTimes(2);
      });
    });

    test('Groups metric queries with step by stepMs', async () => {
      const request = createRequest(
        [
          { expr: 'count_over_time({a="b"}[1m])', refId: 'A', resolution: 1, step: '10' },
          { expr: 'count_over_time{a="b"}[1m])', refId: 'B', resolution: 1, step: '5ms' },
        ],
        { range: range1d }
      );
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // A, B
        expect(datasource.runQuery).toHaveBeenCalledTimes(2);
      });
    });
    test('Groups mixed queries by stepMs', async () => {
      const request = createRequest(
        [
          { expr: '{a="b"}', refId: 'A', resolution: 3 },
          { expr: '{a="b"}', refId: 'B', resolution: 5 },
          { expr: 'count_over_time({a="b"}[1m])', refId: 'C', resolution: 3 },
          { expr: 'count_over_time{a="b"}[1m])', refId: 'D', resolution: 5 },
          { expr: '{a="b"}', refId: 'E', resolution: 5, queryType: LokiQueryType.Instant },
          { expr: 'rate({a="b"}[5m])', refId: 'F', resolution: 5, step: '10' },
          { expr: 'rate({a="b"} | logfmt[5m])', refId: 'G', resolution: 5, step: '10s' },
        ],
        { range: range1d }
      );
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // A, B, C, D, E, F+G
        expect(datasource.runQuery).toHaveBeenCalledTimes(6);
      });
    });
    test('Chunked groups mixed queries by stepMs', async () => {
      const request = createRequest([
        { expr: '{a="b"}', refId: 'A', resolution: 3 },
        { expr: '{a="b"}', refId: 'B', resolution: 5 },
        { expr: 'count_over_time({a="b"}[1m])', refId: 'C', resolution: 3 },
        { expr: 'count_over_time{a="b"}[1m])', refId: 'D', resolution: 5 },
        { expr: '{a="b"}', refId: 'E', resolution: 5, queryType: LokiQueryType.Instant },
        { expr: 'rate({a="b"}[5m])', refId: 'F', resolution: 5, step: '10' },
        { expr: 'rate({a="b"} | logfmt[5m])', refId: 'G', resolution: 5, step: '10s' },
      ]);
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // 3 * A, 3 * B, 3 * C, 3 * D, 1 * E, 3 * F+G
        expect(datasource.runQuery).toHaveBeenCalledTimes(16);
      });
    });
  });

  describe('Forward search queries', () => {
    const request = createRequest([
      { expr: '{a="b"}', refId: 'A', direction: LokiQueryDirection.Backward },
      { expr: '{c="d"}', refId: 'A', direction: undefined },
      { expr: '{e="f"}', refId: 'B', direction: LokiQueryDirection.Forward },
    ]);
    const { logFrameA } = getMockFrames();
    beforeEach(() => {
      jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [logFrameA], refId: 'A' }));
    });
    test('Sends forward and backward queries in different groups', async () => {
      jest.spyOn(datasource, 'runQuery');
      await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
        // Forward
        expect(jest.mocked(datasource.runQuery).mock.calls[1][0].targets[0].expr).toBe('{e="f"}');
        expect(jest.mocked(datasource.runQuery).mock.calls[1][0].range.from.toString()).toContain('Feb 08 2023');
        expect(jest.mocked(datasource.runQuery).mock.calls[3][0].targets[0].expr).toBe('{e="f"}');
        expect(jest.mocked(datasource.runQuery).mock.calls[3][0].range.from.toString()).toContain('Feb 08 2023');
        expect(jest.mocked(datasource.runQuery).mock.calls[5][0].targets[0].expr).toBe('{e="f"}');
        expect(jest.mocked(datasource.runQuery).mock.calls[5][0].range.from.toString()).toContain('Feb 09 2023');

        // Backward
        expect(jest.mocked(datasource.runQuery).mock.calls[0][0].targets[0].expr).toBe('{a="b"}');
        expect(jest.mocked(datasource.runQuery).mock.calls[0][0].range.from.toString()).toContain('Feb 09 2023');
        expect(jest.mocked(datasource.runQuery).mock.calls[2][0].targets[0].expr).toBe('{a="b"}');
        expect(jest.mocked(datasource.runQuery).mock.calls[2][0].range.from.toString()).toContain('Feb 08 2023');
        expect(jest.mocked(datasource.runQuery).mock.calls[4][0].targets[0].expr).toBe('{a="b"}');
        expect(jest.mocked(datasource.runQuery).mock.calls[4][0].range.from.toString()).toContain('Feb 08 2023');

        // 3 days, 3 chunks, 2 groups logs, 6 requests
        expect(datasource.runQuery).toHaveBeenCalledTimes(6);
      });
    });
  });
});
