@Test public void testValidateOnlineDetectionData() throws Exception { String payload = IOUtils.toString(this.getClass().getResourceAsStream("payload-good.json")); JsonNode node = this.objectMapper.readTree(payload); boolean result1 = this.anomalyDetectionResource .validateOnlineDetectionData(node.get("data"), "date", "online_metric"); Assert.assertTrue(result1); boolean result2 = this.anomalyDetectionResource .validateOnlineDetectionData(node.get("data"), "date", "metric"); Assert.assertFalse(result2); boolean result3 = this.anomalyDetectionResource .validateOnlineDetectionData(node.get("data"), "time", "online_metric"); Assert.assertFalse(result3); }
boolean validateOnlineDetectionData(JsonNode dataNode, String timeColumnName, String metricColumnName) { ArrayNode columnsNode = dataNode.withArray(COLUMNS_FIELD); int[] colIndices = findTimeAndMetricColumns(columnsNode, timeColumnName, metricColumnName); int timeColIdx = colIndices[0]; int metricColIdx = colIndices[1]; return metricColIdx>=0 && timeColIdx>=0; }
AnomalyDetectionResource { boolean validateOnlineDetectionData(JsonNode dataNode, String timeColumnName, String metricColumnName) { ArrayNode columnsNode = dataNode.withArray(COLUMNS_FIELD); int[] colIndices = findTimeAndMetricColumns(columnsNode, timeColumnName, metricColumnName); int timeColIdx = colIndices[0]; int metricColIdx = colIndices[1]; return metricColIdx>=0 && timeColIdx>=0; } }
AnomalyDetectionResource { boolean validateOnlineDetectionData(JsonNode dataNode, String timeColumnName, String metricColumnName) { ArrayNode columnsNode = dataNode.withArray(COLUMNS_FIELD); int[] colIndices = findTimeAndMetricColumns(columnsNode, timeColumnName, metricColumnName); int timeColIdx = colIndices[0]; int metricColIdx = colIndices[1]; return metricColIdx>=0 && timeColIdx>=0; } @Inject  AnomalyDetectionResource(UserDashboardResource userDashboardResource); }
AnomalyDetectionResource { boolean validateOnlineDetectionData(JsonNode dataNode, String timeColumnName, String metricColumnName) { ArrayNode columnsNode = dataNode.withArray(COLUMNS_FIELD); int[] colIndices = findTimeAndMetricColumns(columnsNode, timeColumnName, metricColumnName); int timeColIdx = colIndices[0]; int metricColIdx = colIndices[1]; return metricColIdx>=0 && timeColIdx>=0; } @Inject  AnomalyDetectionResource(UserDashboardResource userDashboardResource); @POST @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Request an anomaly detection online task") Response onlineApi(
          @QueryParam("start") Long start,
          @QueryParam("end") Long end,
          @QueryParam("data-id") Long dataId,
          @ApiParam("jsonPayload") String payload,
          @Auth ThirdEyePrincipal principal); @POST @Path("/data") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Register ad hoc data used in online service and created dataset/metric configs") Response createOnlineData(@ApiParam("jsonPayload") String payload,
      @Auth ThirdEyePrincipal principal); @PUT @Path("/data/{data-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Update ad hoc data used in online service and corresponding dataset/metric configs") Response updateOnlineData(
      @ApiParam("jsonPayload") String payload,
      @PathParam("data-id") Long dataId,
      @Auth ThirdEyePrincipal principal); @DELETE @Path("/data/{data-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Delete ad hoc data used in online service and corresponding dataset/metric configs") Response deleteOnlineData(@PathParam("data-id") Long dataId); @GET @Path("/data/{data-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Get ad hoc data used in online service and corresponding dataset/metric configs") Response getOnlineData(@PathParam("data-id") Long dataId); @POST @Path("/tasks") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.TEXT_PLAIN) @ApiOperation("Submit an anomaly detection task") Response taskSubmitApi(
      @QueryParam("start") long start,
      @QueryParam("end") long end,
      @QueryParam("detection-name") String detectionName); @GET @Path("/task/{task-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.TEXT_PLAIN) @ApiOperation("Query a task status") Response taskStatusApi(@PathParam("task-id") long taskId); }
AnomalyDetectionResource { boolean validateOnlineDetectionData(JsonNode dataNode, String timeColumnName, String metricColumnName) { ArrayNode columnsNode = dataNode.withArray(COLUMNS_FIELD); int[] colIndices = findTimeAndMetricColumns(columnsNode, timeColumnName, metricColumnName); int timeColIdx = colIndices[0]; int metricColIdx = colIndices[1]; return metricColIdx>=0 && timeColIdx>=0; } @Inject  AnomalyDetectionResource(UserDashboardResource userDashboardResource); @POST @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Request an anomaly detection online task") Response onlineApi(
          @QueryParam("start") Long start,
          @QueryParam("end") Long end,
          @QueryParam("data-id") Long dataId,
          @ApiParam("jsonPayload") String payload,
          @Auth ThirdEyePrincipal principal); @POST @Path("/data") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Register ad hoc data used in online service and created dataset/metric configs") Response createOnlineData(@ApiParam("jsonPayload") String payload,
      @Auth ThirdEyePrincipal principal); @PUT @Path("/data/{data-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Update ad hoc data used in online service and corresponding dataset/metric configs") Response updateOnlineData(
      @ApiParam("jsonPayload") String payload,
      @PathParam("data-id") Long dataId,
      @Auth ThirdEyePrincipal principal); @DELETE @Path("/data/{data-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Delete ad hoc data used in online service and corresponding dataset/metric configs") Response deleteOnlineData(@PathParam("data-id") Long dataId); @GET @Path("/data/{data-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApiOperation("Get ad hoc data used in online service and corresponding dataset/metric configs") Response getOnlineData(@PathParam("data-id") Long dataId); @POST @Path("/tasks") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.TEXT_PLAIN) @ApiOperation("Submit an anomaly detection task") Response taskSubmitApi(
      @QueryParam("start") long start,
      @QueryParam("end") long end,
      @QueryParam("detection-name") String detectionName); @GET @Path("/task/{task-id}") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.TEXT_PLAIN) @ApiOperation("Query a task status") Response taskStatusApi(@PathParam("task-id") long taskId);  }