Job¶

class lsst.verify.Job(measurements=None, metrics=None, specs=None, meta=None)¶

Container for Measurements, Blob s, and Metadata associated with a pipeline run.

Parameters:

measurements : MeasurementSet or list of Measurements, optional: Measurements to report in the Job.
metrics : list of Metrics or a MetricSet, optional: Optional list of Metrics, or a MetricSet.
specs : SpecificationSet or list of Specifications, optional: Optional specification information.
meta : dict, optional: Optional dictionary of metadata key-value entries.

Attributes Summary

`json`	`Job` data as a JSON-serialiable `dict`.
`measurements`	Measurements associated with the pipeline verification job (`MeasurementSet`).
`meta`	Metadata mapping (`Metadata`).
`metrics`	Metrics associated with the pipeline verification job (`MetricSet`).
`specs`	Specifications associated with the pipeline verifification job (`SpecificationSet`).

Methods Summary

`deserialize`([measurements, blobs, metrics, …])	Deserialize a Verification Framework Job from a JSON serialization.
`dispatch`([api_user, api_password, api_url])	POST the job to SQUASH, LSST Data Management’s metric dashboard.
`jsonify_dict`(d)	Recursively build JSON-renderable objects on all values in a dict.
`load_metrics_package`([package_name_or_path, …])	Create a Job with metrics and specifications pre-loaded from a Verification Framework metrics package, such as verify_metrics.
`reload_metrics_package`([…])	Load a metrics package and add metric and specification definitions to the Job, as well as the collected measurements.
`report`([name, spec_tags, metric_tags])	Create a verification report that lists the pass/fail status of measurements against specifications in this job.
`write`(filename)	Write a JSON serialization to the filesystem.
`write_json`(filepath)	Write JSON to a file.

Attributes Documentation

measurements¶: Measurements associated with the pipeline verification job (MeasurementSet).

metrics¶: Metrics associated with the pipeline verification job (MetricSet).

specs¶: Specifications associated with the pipeline verifification job (SpecificationSet).

Methods Documentation

classmethod deserialize(measurements=None, blobs=None, metrics=None, specs=None, meta=None)¶

Deserialize a Verification Framework Job from a JSON serialization.

Parameters:	measurements : `list`, optional List of serialized `Measurement` objects. blobs : `list`, optional List of serialized `Blob` objects. metrics : `list`, optional List of serialized `Metric` objects. specs : `list`, optional List of serialized specification objects. meta : `dict`, optional Dictionary of key-value metadata entries.
Returns:	job : `Job` `Job` instance built from serialized data.

Examples

Together, Job.json and Job.deserialize allow a verification job to be serialized and later re-instantiated.

>>> import json
>>> job = Job()
>>> json_str = json.dumps(job.json)
>>> json_obj = json.loads(json_str)
>>> new_job = Job.deserialize(**json_obj)

dispatch(api_user=None, api_password=None, api_url='https://squash-restful-api.lsst.codes', **kwargs)¶

POST the job to SQUASH, LSST Data Management’s metric dashboard.

Parameters:	api_url : `str`, optional Root URL of the SQUASH API server. api_user : `str`, optional API username. api_password : `str`, optional API password. **kwargs : optional Additional keyword arguments passed to `lsst.verify.squash.post`.
Returns:	output : response The response from the POST request to the SQuaSH API

static jsonify_dict(d)¶

Recursively build JSON-renderable objects on all values in a dict.

Parameters:	d : `dict` Dictionary to convert into a JSON-serializable object. Values are recursively JSON-ified.
Returns:	json_dict : `dict` Dictionary that can be serialized to JSON.

Examples

Subclasses can use this method to prepare output in their json-method implementation. For example:

def json(self):
    return JsonSerializationMixin.jsonify_dict({
        'value': self.value,
    })

classmethod load_metrics_package(package_name_or_path='verify_metrics', subset=None, measurements=None, meta=None)¶

Create a Job with metrics and specifications pre-loaded from a Verification Framework metrics package, such as verify_metrics.

Parameters:

package_name_or_path : str, optional: Name of an EUPS package that hosts metric and specification definition YAML files or the file path to a metrics package. 'verify_metrics' is the default package, and is where metrics and specifications are defined for most LSST Science Pipelines packages.
subset : str, optional: If set, only metrics and specification for this package are loaded. For example, if subset='validate_drp', only validate_drp metrics are loaded. This argument is equivalent to the MetricSet.subset method. Default is None.
measurements : MeasurementSet or list of Measurements, optional: Measurements to report in the Job.
meta : dict, optional: Optional dictionary of metadata key-value entries to include in the Job.

Returns:

reload_metrics_package(package_name_or_path='verify_metrics', subset=None)¶

Load a metrics package and add metric and specification definitions to the Job, as well as the collected measurements.

Parameters:

package_name_or_path : str, optional: Name of an EUPS package that hosts metric and specification definition YAML files or the file path to a metrics package. 'verify_metrics' is the default package, and is where metrics and specifications are defined for most packages.
subset : str, optional: If set, only metrics and specification for this package are loaded. For example, if subset='validate_drp', only validate_drp metrics are included in the MetricSet. This argument is equivalent to the MetricSet.subset method. Default is None.