Job¶

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

Bases: lsst.verify.jsonmixin.JsonSerializationMixin

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

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 Documentation

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

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)[source]¶

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.

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)[source]¶

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:

job : Job

Job instance.

reload_metrics_package(package_name_or_path='verify_metrics', subset=None)[source]¶

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.

Job¶

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