TypeScript long.fromNumber函数代码示例

 it("should correctly dispatch receiveMetrics with an unmatching nextRequest", function() {
   const response = new protos.cockroach.ts.tspb.TimeSeriesQueryResponse({
     results: [
       {
         datapoints: [],
       },
     ],
   });
   const request = new protos.cockroach.ts.tspb.TimeSeriesQueryRequest({
     start_nanos: Long.fromNumber(0),
     end_nanos: Long.fromNumber(10),
     queries: [
       {
         name: "test.metric.1",
       },
     ],
   });
   state = metrics.metricsReducer(state, metrics.receiveMetrics(componentID, request, response));
   assert.isDefined(state.queries);
   assert.isDefined(state.queries[componentID]);
   assert.lengthOf(_.keys(state.queries), 1);
   assert.equal(state.queries[componentID].data, null);
   assert.equal(state.queries[componentID].request, null);
   assert.isUndefined(state.queries[componentID].nextRequest);
   assert.isUndefined(state.queries[componentID].error);
 });

function randomStats(sensitiveInfo?: ISensitiveInfo): StatementStatistics {
  const count = randomInt(1000);
  // tslint:disable:variable-name
  const first_attempt_count = randomInt(count);
  const max_retries = randomInt(count - first_attempt_count);
  // tslint:enable:variable-name

  return {
    count: Long.fromNumber(count),
    first_attempt_count: Long.fromNumber(first_attempt_count),
    max_retries: Long.fromNumber(max_retries),
    num_rows: randomStat(100),
    parse_lat: randomStat(),
    plan_lat: randomStat(),
    run_lat: randomStat(),
    service_lat: randomStat(),
    overhead_lat: randomStat(),
    sensitive_info: sensitiveInfo || makeSensitiveInfo(null, null),
  };
}

function randomStats(): StatementStatistics {
  const count = randomInt(1000);
  // tslint:disable:variable-name
  const first_attempt_count = randomInt(count);
  const max_retries = randomInt(count - first_attempt_count);
  // tslint:enable:variable-name

  return {
    count: Long.fromNumber(count),
    first_attempt_count: Long.fromNumber(first_attempt_count),
    max_retries: Long.fromNumber(max_retries),
    num_rows: randomStat(100),
    parse_lat: randomStat(),
    plan_lat: randomStat(),
    run_lat: randomStat(),
    service_lat: randomStat(),
    overhead_lat: randomStat(),
    last_err: "",
    last_err_redacted: "",
  };
}

    it("handles non-string values", function () {
      const testValues: { [k: string]: any } = {
        boolean: true,
        number: 1,
        emptyObject: {},
        emptyArray: [],
        objectWithProps: { a: 1, b: 2 },
        arrayWithElts: [1, 2, 3],
        long: Long.fromNumber(1),
      };

      const querystring = api.propsToQueryString(testValues);
      assert.deepEqual(_.mapValues(testValues, _.toString), decodeQueryString(querystring));
    });

  describe("saga functions", function() {
    type timespan = [Long, Long];
    const shortTimespan: timespan = [Long.fromNumber(400), Long.fromNumber(500)];
    const longTimespan: timespan = [Long.fromNumber(0), Long.fromNumber(500)];

    // Helper function to generate metrics request.
    function createRequest(ts: timespan, ...names: string[]): TSRequest {
      return new protos.cockroach.ts.tspb.TimeSeriesQueryRequest({
        start_nanos: ts[0],
        end_nanos: ts[1],
        queries: _.map(names, (s) => {
          return {
            name: s,
          };
        }),
      });
    }

    function createResponse(
      queries: protos.cockroach.ts.tspb.IQuery[],
      datapoints: protos.cockroach.ts.tspb.TimeSeriesDatapoint[]  = [],
    ) {
      return new protos.cockroach.ts.tspb.TimeSeriesQueryResponse({
        results: queries.map(query => {
          return {
            query,
            datapoints,
          };
        }),
      });
    }

    function createDatapoints(val: number) {
      const result: protos.cockroach.ts.tspb.TimeSeriesDatapoint[] = [];
      for (let i = 0; i < val; i++) {
        result.push(new protos.cockroach.ts.tspb.TimeSeriesDatapoint({
          timestamp_nanos: new Long(val),
          value: val,
        }));
      }
      return result;
    }

    describe("queryMetricsSaga plan", function() {
      it("initially waits for incoming request objects", function () {
        testSaga(metrics.queryMetricsSaga)
          .next()
          .take(metrics.REQUEST);
      });

      it("correctly accumulates batches", function () {
        const requestAction = metrics.requestMetrics("id", createRequest(shortTimespan, "short.1"));
        const beginAction = metrics.beginMetrics(requestAction.payload.id, requestAction.payload.data);

        return expectSaga(metrics.queryMetricsSaga)
          // Stub out calls to batchAndSendRequests.
          .provide([
            [matchers.call.fn(metrics.batchAndSendRequests), null],
          ])
          // Dispatch six requests, with delays inserted in order to trigger
          // batch sends.
          .dispatch(requestAction)
          .dispatch(requestAction)
          .dispatch(requestAction)
          .delay(0)
          .dispatch(requestAction)
          .delay(0)
          .dispatch(requestAction)
          .dispatch(requestAction)
          .run()
          .then((result) => {
            const { effects } = result;
            // Verify the order of call dispatches.
            assert.deepEqual(
              effects.call,
              [
                call(delay, 0),
                call(metrics.batchAndSendRequests, [requestAction.payload, requestAction.payload, requestAction.payload]),
                call(delay, 0),
                call(metrics.batchAndSendRequests, [requestAction.payload]),
                call(delay, 0),
                call(metrics.batchAndSendRequests, [requestAction.payload, requestAction.payload]),
              ],
            );
            // Verify that all beginAction puts were dispatched.
            assert.deepEqual(
              effects.put,
              [
                put(beginAction),
                put(beginAction),
                put(beginAction),
                put(beginAction),
                put(beginAction),
                put(beginAction),
              ],
            );
          });
      });
    });

//.........这里部分代码省略.........

    it ("correctly responds to errors.", function () {
      this.timeout(1000);

      // Mock out fetch server; send a positive reply to the first request, and
      // an error to the second request.
      let successSent = false;
      fetchMock.mock({
        matcher: "ts/query",
        method: "POST",
        response: (_url: string, requestObj: RequestInit) => {
          // Assert that metric store's "inFlight" is 1.
          assert.equal(mockMetricsState.inFlight, 1);

          if (successSent) {
            return { throws: new Error() };
          }
          successSent = true;

          const request = protos.cockroach.ts.tspb.TimeSeriesQueryRequest.decode(new Uint8Array(requestObj.body as ArrayBuffer));
          const encodedResponse = protos.cockroach.ts.tspb.TimeSeriesQueryResponse.encode({
            results: _.map(request.queries, (q) => {
              return {
                query: q,
                datapoints: [],
              };
            }),
          }).finish();

          return {
            body: api.toArrayBuffer(encodedResponse),
          };
        },
      });

      // Dispatch several requests. Requests are divided among two timespans,
      // which should result in two batches.
      let shortTimespan: timespan = [Long.fromNumber(400), Long.fromNumber(500)];
      let longTimespan: timespan = [Long.fromNumber(0), Long.fromNumber(500)];
      queryMetrics("id.1", createRequest(shortTimespan, "short.1", "short.2"));
      let p = queryMetrics("id.2", createRequest(longTimespan, "long.1"));

      // Queries should already be present, but unfulfilled.
      assert.lengthOf(_.keys(mockMetricsState.queries), 2);
      _.each(mockMetricsState.queries, (q) => {
        assert.isDefined(q.nextRequest);
        assert.isUndefined(q.data);
      });

      return p.then(() => {
        // Assert that the server got the correct number of requests (2).
        assert.lengthOf(fetchMock.calls("ts/query"), 2);
        // Assert that the mock metrics state has 2 queries.
        assert.lengthOf(_.keys(mockMetricsState.queries), 2);
        // Assert query with id.1 has results.
        let q1 = mockMetricsState.queries["id.1"];
        assert.isDefined(q1);
        assert.isDefined(q1.data);
        assert.isUndefined(q1.error);
        // Assert query with id.2 has an error.
        let q2 = mockMetricsState.queries["id.2"];
        assert.isDefined(q2);
        assert.isDefined(q2.error);
        assert.isUndefined(q2.data);
        // Assert that inFlight is 0.
        assert.equal(mockMetricsState.inFlight, 0);
      });
    });

  describe("saga functions", function() {
    type timespan = [Long, Long];
    const shortTimespan: timespan = [Long.fromNumber(400), Long.fromNumber(500)];
    const longTimespan: timespan = [Long.fromNumber(0), Long.fromNumber(500)];

    // Helper function to generate metrics request.
    function createRequest(ts: timespan, ...names: string[]): TSRequest {
      return new protos.cockroach.ts.tspb.TimeSeriesQueryRequest({
        start_nanos: ts[0],
        end_nanos: ts[1],
        queries: _.map(names, (s) => {
          return {
            name: s,
          };
        }),
      });
    }

    function createResponse(queries: protos.cockroach.ts.tspb.Query$Properties[]) {
      return new protos.cockroach.ts.tspb.TimeSeriesQueryResponse({
        results: queries.map(q => {
          return {
            query: q,
            datapoints: [],
          };
        }),
      });
    }

    describe("queryMetricsSaga", function() {
      it("initially waits for incoming request objects", function () {
        const saga = metrics.queryMetricsSaga();
        assert.deepEqual(saga.next().value, take(metrics.REQUEST));
      });

      it("correctly accumulates batches", function () {
        const requestAction = metrics.requestMetrics("id", createRequest(shortTimespan, "short.1"));
        const saga = metrics.queryMetricsSaga();
        saga.next();

        // Pass in a request, the generator should put the request to the
        // redux store, fork "sendBatches" process, then await another request.
        assert.deepEqual(saga.next(requestAction).value, put(requestAction));
        const sendBatchesFork = saga.next().value as ForkEffect;
        assert.isDefined(sendBatchesFork.FORK);
        assert.deepEqual(saga.next().value, take(metrics.REQUEST));

        // Pass in two additional requests, the generator should not yield another
        // fork.
        for (let i = 0; i < 2; i++) {
          assert.deepEqual(saga.next(requestAction).value, put(requestAction));
          assert.deepEqual(saga.next().value, take(metrics.REQUEST));
        }

        // Run the fork function. It should initially call delay (to defer to the
        // event queue), then call sendRequestBatches with the currently
        // accumulated batches, then complete.
        const accumulateBatch = sendBatchesFork.FORK.fn() as IterableIterator<any>;
        assert.deepEqual(accumulateBatch.next().value, call(delay, 0));
        assert.deepEqual(
          accumulateBatch.next().value,
          call(
            metrics.batchAndSendRequests,
            [requestAction.payload, requestAction.payload, requestAction.payload],
          ),
        );
        assert.isTrue(accumulateBatch.next().done);

        // Pass in a request, the generator should again yield a "fork" followed
        // by another take for request objects.
        assert.deepEqual(saga.next(requestAction).value, put(requestAction));
        assert.isDefined((saga.next().value as ForkEffect).FORK);
        assert.deepEqual(saga.next().value, take(metrics.REQUEST));
      });
    });

    describe("batchAndSendRequests", function() {
      it("sendBatches correctly batches multiple requests", function () {
        const shortRequests = [
          metrics.requestMetrics("id", createRequest(shortTimespan, "short.1")).payload,
          metrics.requestMetrics("id", createRequest(shortTimespan, "short.2", "short.3")).payload,
          metrics.requestMetrics("id", createRequest(shortTimespan, "short.4")).payload,
        ];
        const longRequests = [
          metrics.requestMetrics("id", createRequest(longTimespan, "long.1")).payload,
          metrics.requestMetrics("id", createRequest(longTimespan, "long.2", "long.3")).payload,
          metrics.requestMetrics("id", createRequest(longTimespan, "long.4", "long.5")).payload,
        ];

        // Mix the requests together and send the combined request set.
        const mixedRequests = _.flatMap(shortRequests, (short, i) => [short, longRequests[i]]);
        const sendBatches = metrics.batchAndSendRequests(mixedRequests);

        // sendBatches next puts a "fetchMetrics" action into the store.
        assert.deepEqual(sendBatches.next().value, put(metrics.fetchMetrics()));

        // Next, sendBatches dispatches a "all" effect with a "call" for each
        // batch; there should be two batches in total, one containing the
        // short requests and one containing the long requests. The order
        // of requests in each batch is maintained.
//.........这里部分代码省略.........