示例#1
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def complete_material_history(mat):
    """
    Get a list of every single object in the material history, all as dictionaries.

    This is useful for testing, if we want the context list that can be used to rehydrate
    an entire material history.

    :param mat: root material run
    :return: a list containing every object connected to mat, each a dictionary with all
        links substituted.
    """
    from gemd.entity.base_entity import BaseEntity
    import json
    from gemd.json import dumps, loads
    from gemd.util.impl import substitute_links

    result = []

    def body(obj: BaseEntity):
        copy = substitute_links(loads(dumps(obj)))
        result.append(json.loads(dumps(copy))["context"][0])

    recursive_foreach(mat, body, apply_first=False)

    return result
    def register(self, model: ResourceType, dry_run=False):
        """
        Create a new element of the collection or update an existing element.

        If the input model has an ID that corresponds to an existing object in the
        database, then that object will be updated. Otherwise a new object will be created.

        Only the top-level object in `model` itself is written to the database with this
        method. References to other objects are persisted as links, and the object returned
        by this method has all instances of data objects replaced by instances of LinkByUid.
        Registering an object which references other objects does NOT implicitly register
        those other objects. Rather, those other objects' values are ignored, and the
        pre-existence of objects with their IDs is asserted before attempting to write
        `model`.

        Parameters
        ----------
        model: ResourceType
            The DataConcepts object.
        dry_run: bool
            Whether to actually register the item or run a dry run of the register operation.
            Dry run is intended to be used for validation. Default: false

        Returns
        -------
        ResourceType
            A copy of the registered object as it now exists in the database.

        """
        if self.dataset_id is None:
            raise RuntimeError(
                "Must specify a dataset in order to register a data model object."
            )
        path = self._get_path()
        params = {'dry_run': dry_run}
        # How do we prepare a citrine-python object to be the json in a POST request?
        # Right now, that method scrubs out None values and replaces top-level objects with links.
        # Eventually, we want to replace it with the following:
        #   dumped_data = dumps(loads(dumps(model.dump())))
        # This dumps the object to a dictionary (model.dump()), and then to a string (dumps()).
        # But this string is still nested--because it's a dictionary, GEMDJson.dumps() does not
        # know how to replace the objects with link-by-uids. loads() converts this string into
        # nested gemd objects, and then the final dumps() converts that to a json-ready string
        # in which all of the object references have been replaced with link-by-uids.

        temp_scope = str(uuid4())
        scope = temp_scope if dry_run else CITRINE_SCOPE
        GEMDJson(scope=scope).dumps(
            model)  # This apparent no-op populates uids
        dumped_data = replace_objects_with_links(scrub_none(model.dump()))
        recursive_foreach(
            model, lambda x: x.uids.pop(temp_scope, None))  # Strip temp uids

        data = self.session.post_resource(path, dumped_data, params=params)
        full_model = self.build(data)
        return full_model
示例#3
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    def register_all(self,
                     models: List[ResourceType],
                     dry_run=False) -> List[ResourceType]:
        """
        [ALPHA] Create or update each model in models.

        This method has the same behavior as `register`, except that all no models will be
        written if any one of them is invalid.

        Using this method should yield significant improvements to write speed over separate
        calls to `register`.

        Parameters
        ----------
        models: List[ResourceType]
            The objects to be written.
        dry_run: bool
            Whether to actually register the objects or run a dry run of the register operation.
            Dry run is intended to be used for validation. Default: false

        Returns
        -------
        List[ResourceType]
            Each object model as it now exists in the database. The order and number of models
            is guaranteed to be the same as originally specified.

        """
        if self.dataset_id is None:
            raise RuntimeError(
                "Must specify a dataset in order to register a data model object."
            )
        path = self._get_path()
        params = {'dry_run': dry_run}

        temp_scope = str(uuid4())
        scope = temp_scope if dry_run else CITRINE_SCOPE
        json = GEMDJson(scope=scope)
        [json.dumps(x) for x in models]  # This apparent no-op populates uids

        objects = [
            replace_objects_with_links(scrub_none(model.dump()))
            for model in models
        ]

        recursive_foreach(
            models, lambda x: x.uids.pop(temp_scope, None))  # Strip temp uids

        response_data = self.session.put_resource(path + '/batch',
                                                  json={'objects': objects},
                                                  params=params)
        return [self.build(obj) for obj in response_data['objects']]
示例#4
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    def register(self, model: ResourceType, dry_run=False):
        """
        Create a new element of the collection or update an existing element.

        If the input model has an ID that corresponds to an existing object in the
        database, then that object will be updated. Otherwise a new object will be created.

        Only the top-level object in `model` itself is written to the database with this
        method. References to other objects are persisted as links, and the object returned
        by this method has all instances of data objects replaced by instances of LinkByUid.
        Registering an object which references other objects does NOT implicitly register
        those other objects. Rather, those other objects' values are ignored, and the
        pre-existence of objects with their IDs is asserted before attempting to write
        `model`.

        Parameters
        ----------
        model: ResourceType
            The DataConcepts object.
        dry_run: bool
            Whether to actually register the item or run a dry run of the register operation.
            Dry run is intended to be used for validation. Default: false

        Returns
        -------
        ResourceType
            A copy of the registered object as it now exists in the database.

        """
        if self.dataset_id is None:
            raise RuntimeError(
                "Must specify a dataset in order to register a data model object."
            )
        path = self._get_path()
        params = {'dry_run': dry_run}

        temp_scope = str(uuid4())
        scope = temp_scope if dry_run else CITRINE_SCOPE
        GEMDJson(scope=scope).dumps(
            model)  # This apparent no-op populates uids
        dumped_data = replace_objects_with_links(scrub_none(model.dump()))
        recursive_foreach(
            model, lambda x: x.uids.pop(temp_scope, None))  # Strip temp uids

        data = self.session.post_resource(path, dumped_data, params=params)
        full_model = self.build(data)
        return full_model
    def validate_templates(self,
                           model: DataObjectResourceType,
                           object_template: Optional[ObjectTemplateResourceType] = None,
                           ingredient_process_template: Optional[ProcessTemplate] = None)\
            -> List[ValidationError]:
        """
        Validate a data object against its templates.

        Validates against provided object templates (passed in as parameters) and stored attribute
        templates linked on the data object.

        :param model: the data object to validate
        :param object_template: optional object template to validate against
        :param ingredient_process_template: optional process template to validate ingredient
         against. Ignored unless data object is an IngredientSpec or IngredientRun.
        :return: List[ValidationError] of validation errors encountered. Empty if successful.
        """
        path = self._get_path(ignore_dataset=True) + "/validate-templates"

        temp_scope = str(uuid4())
        GEMDJson(scope=temp_scope).dumps(
            model)  # This apparent no-op populates uids
        dumped_data = replace_objects_with_links(scrub_none(model.dump()))
        recursive_foreach(
            model, lambda x: x.uids.pop(temp_scope, None))  # Strip temp uids

        request_data = {"dataObject": dumped_data}
        if object_template is not None:
            request_data["objectTemplate"] = \
                replace_objects_with_links(scrub_none(object_template.dump()))
        if ingredient_process_template is not None:
            request_data["ingredientProcessTemplate"] = \
                replace_objects_with_links(scrub_none(ingredient_process_template.dump()))
        try:
            self.session.put_resource(path, request_data)
            return []
        except BadRequest as e:
            if e.api_error is not None and e.api_error.validation_errors:
                return e.api_error.validation_errors
            raise e
示例#6
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def test_recursive_foreach():
    """Test that recursive_foreach() applies a method to every object."""
    new_tag = "Extra tag"

    def func(base_ent):
        """Adds a specific tag to the object."""
        base_ent.tags.extend([new_tag])
        return

    param_template = ParameterTemplate("a param template",
                                       bounds=RealBounds(0, 100, ''))
    meas_template = MeasurementTemplate("Measurement template",
                                        parameters=[param_template])
    parameter = Parameter(name="A parameter",
                          value=NormalReal(mean=17, std=1, units=''))
    measurement = MeasurementSpec(name="name",
                                  parameters=parameter,
                                  template=meas_template)
    test_dict = {"foo": measurement}
    recursive_foreach(test_dict, func, apply_first=True)

    for ent in [param_template, meas_template, measurement]:
        assert new_tag in ent.tags
def test_cake():
    """Create cake, serialize, deserialize."""
    cake = make_cake(seed=42)

    # Check that all the objects show up
    tot_count = 0

    def increment(dummy):
        nonlocal tot_count
        tot_count += 1

    recursive_foreach(cake, increment)
    assert tot_count == 139

    # Check that no UIDs collide
    uid_seen = dict()

    def _check_ids(obj):
        nonlocal uid_seen
        for scope in obj.uids:
            lbl = '{}::{}'.format(scope, obj.uids[scope].lower())
            if lbl in uid_seen:
                assert uid_seen[lbl] == id(obj), "'{}' seen twice".format(lbl)
            uid_seen[lbl] = id(obj)
    recursive_foreach(cake, _check_ids)

    # Check that all recursive and square links are structured correctly
    def _check_crosslinks(obj):
        if isinstance(obj, MaterialSpec):
            assert obj.process.output_material == obj
        elif isinstance(obj, MaterialRun):
            assert obj.process.output_material == obj
            for msr in obj.measurements:
                assert msr.material == obj
            assert obj.spec.process == obj.process.spec
        elif isinstance(obj, ProcessRun):
            assert obj.output_material.process == obj
            assert obj.spec.output_material == obj.output_material.spec
        elif isinstance(obj, ProcessSpec):
            assert obj.output_material.process == obj
        elif isinstance(obj, MeasurementSpec):
            pass  # Doesn't link
        elif isinstance(obj, MeasurementRun):
            assert obj in obj.material.measurements
        elif isinstance(obj, IngredientSpec):
            assert obj in obj.process.ingredients
        elif isinstance(obj, IngredientRun):
            assert obj in obj.process.ingredients
            assert obj.spec.material == obj.material.spec
    recursive_foreach(cake, _check_crosslinks)
示例#8
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def test_cake():
    """Create cake, serialize, deserialize."""
    cake = make_cake()

    def test_for_loss(obj):
        assert (obj == loads(dumps(obj)))

    recursive_foreach(cake, test_for_loss)

    # And verify equality was working in the first place
    cake2 = loads(dumps(cake))
    cake2.name = "It's a trap!"
    assert (cake2 != cake)
    cake2.name = cake.name
    assert (cake == cake2)
    cake2.uids['new'] = "It's a trap!"
    assert (cake2 != cake)

    # Check that all the objects show up
    tot_count = 0

    def increment(dummy):
        nonlocal tot_count
        tot_count += 1

    recursive_foreach(cake, increment)
    assert tot_count == 131

    # And make sure nothing was lost
    tot_count = 0
    recursive_foreach(loads(dumps(complete_material_history(cake))), increment)
    assert tot_count == 131

    # Check that no UIDs collide
    uid_seen = dict()

    def check_ids(obj):
        nonlocal uid_seen
        for scope in obj.uids:
            lbl = '{}::{}'.format(scope, obj.uids[scope])
            if lbl in uid_seen:
                assert uid_seen[lbl] == id(obj)
            uid_seen[lbl] = id(obj)

    recursive_foreach(cake, check_ids)

    queue = [cake]
    seen = set()
    while queue:
        obj = queue.pop()
        if obj in seen:
            continue

        seen.add(obj)

        if isinstance(obj, MaterialSpec):
            if obj.process is not None:
                queue.append(obj.process)
                assert obj.process.output_material == obj
        elif isinstance(obj, MaterialRun):
            if obj.process is not None:
                queue.append(obj.process)
                assert obj.process.output_material == obj
            if obj.measurements:
                queue.extend(obj.measurements)
                for msr in obj.measurements:
                    assert msr.material == obj
            if obj.spec is not None:
                queue.append(obj.spec)
                if obj.process is not None:
                    assert obj.spec.process == obj.process.spec
        elif isinstance(obj, ProcessRun):
            if obj.ingredients:
                queue.extend(obj.ingredients)
            if obj.output_material is not None:
                queue.append(obj.output_material)
                assert obj.output_material.process == obj
                if obj.spec is not None:
                    assert obj.spec.output_material == obj.output_material.spec
        elif isinstance(obj, ProcessSpec):
            if obj.ingredients:
                queue.extend(obj.ingredients)
            if obj.output_material is not None:
                queue.append(obj.output_material)
                assert obj.output_material.process == obj
        elif isinstance(obj, MeasurementSpec):
            pass  # Doesn't link
        elif isinstance(obj, MeasurementRun):
            if obj.spec:
                queue.append(obj.spec)
        elif isinstance(obj, IngredientSpec):
            if obj.material:
                queue.append(obj.material)
        elif isinstance(obj, IngredientRun):
            if obj.spec:
                queue.append(obj.spec)
                if obj.material and isinstance(obj.material, MaterialRun):
                    assert obj.spec.material == obj.material.spec
            if obj.material:
                queue.append(obj.material)
示例#9
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    def async_update(self,
                     model: ResourceType,
                     *,
                     dry_run: bool = False,
                     wait_for_response: bool = True,
                     timeout: float = 2 * 60,
                     polling_delay: float = 1.0) -> Optional[UUID]:
        """
        [ALPHA] Update a particular element of the collection with data validation.

        Update a particular element of the collection, doing a deeper check to ensure that
        the dependent data objects are still with the (potentially) changed constraints
        of this change. This will allow you to make bounds and allowed named/labels changes
        to templates.

        Parameters
        ----------
        model: ResourceType
            The DataConcepts object.
        dry_run: bool
            Whether to actually update the item or run a dry run of the update operation.
            Dry run is intended to be used for validation. Default: false
        wait_for_response:
            Whether to poll for the eventual response. This changes the return type (see
            below).
        timeout:
            How long to poll for the result before giving up. This is expressed in
            (fractional) seconds.
        polling_delay:
            How long to delay between each polling retry attempt.

        Returns
        -------
        Optional[UUID]
            If wait_for_response if True, then this call will poll the backend, waiting
            for the eventual job result. In the case of successful validation/update,
            a return value of None is provided which indicates success. In the case of
            a failure validating or processing the update, an exception (JobFailureError)
            is raised and an error message is logged with the underlying reason of the
            failure.

            If wait_for_response if False, A job ID (of type UUID) is returned that one
            can use to poll for the job completion and result with the
            :func:`~citrine.resources.DataConceptsCollection.poll_async_update_job`
            method.

        """
        temp_scope = str(uuid4())
        GEMDJson(scope=temp_scope).dumps(
            model)  # This apparent no-op populates uids
        dumped_data = replace_objects_with_links(scrub_none(model.dump()))
        recursive_foreach(
            model, lambda x: x.uids.pop(temp_scope, None))  # Strip temp uids

        scope = CITRINE_SCOPE
        id = dumped_data['uids']['id']
        if self.dataset_id is None:
            raise RuntimeError("Must specify a dataset in order to update "
                               "a data model object with data validation.")

        url = self._get_path() + \
            "/" + scope + "/" + id + "/async"

        response_json = self.session.put_resource(url,
                                                  dumped_data,
                                                  params={'dry_run': dry_run})

        job_id = response_json["job_id"]

        if wait_for_response:
            self.poll_async_update_job(job_id,
                                       timeout=timeout,
                                       polling_delay=polling_delay)

            # That worked, nothing returned in this case
            return None
        else:
            # TODO: use JobSubmissionResponse here instead
            return job_id