gooddata_api_client.MetricsApi

All URIs are relative to http://localhost

Method	HTTP request	Description
create_entity_metrics	POST /api/v1/entities/workspaces/{workspaceId}/metrics	Post Metrics
delete_entity_metrics	DELETE /api/v1/entities/workspaces/{workspaceId}/metrics/{objectId}	Delete a Metric
get_all_entities_metrics	GET /api/v1/entities/workspaces/{workspaceId}/metrics	Get all Metrics
get_entity_metrics	GET /api/v1/entities/workspaces/{workspaceId}/metrics/{objectId}	Get a Metric
patch_entity_metrics	PATCH /api/v1/entities/workspaces/{workspaceId}/metrics/{objectId}	Patch a Metric
update_entity_metrics	PUT /api/v1/entities/workspaces/{workspaceId}/metrics/{objectId}	Put a Metric

create_entity_metrics

JsonApiMetricOutDocument create_entity_metrics(workspace_id, json_api_metric_post_optional_id_document)

Post Metrics

Example

import time
import gooddata_api_client
from gooddata_api_client.api import metrics_api
from gooddata_api_client.model.json_api_metric_post_optional_id_document import JsonApiMetricPostOptionalIdDocument
from gooddata_api_client.model.json_api_metric_out_document import JsonApiMetricOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = metrics_api.MetricsApi(api_client)
    workspace_id = "workspaceId_example" # str | 
    json_api_metric_post_optional_id_document = JsonApiMetricPostOptionalIdDocument(
        data=JsonApiMetricPostOptionalId(
            attributes=JsonApiMetricInAttributes(
                are_relations_valid=True,
                content=JsonApiMetricInAttributesContent(
                    format="format_example",
                    maql="maql_example",
                ),
                description="description_example",
                tags=[
                    "tags_example",
                ],
                title="title_example",
            ),
            id="id1",
            type="metric",
        ),
    ) # JsonApiMetricPostOptionalIdDocument | 
    include = [
        "include=createdBy,modifiedBy,facts,attributes,labels,metrics,datasets",
    ] # [str] | Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter \"ALL\" is present, all possible includes are used (include=ALL).  __WARNING:__ Individual include types (collection, relationship or ALL) cannot be combined together. (optional)
    meta_include = [
        "metaInclude=origin,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Post Metrics
        api_response = api_instance.create_entity_metrics(workspace_id, json_api_metric_post_optional_id_document)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->create_entity_metrics: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Post Metrics
        api_response = api_instance.create_entity_metrics(workspace_id, json_api_metric_post_optional_id_document, include=include, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->create_entity_metrics: %s\n" % e)

Parameters

Name	Type	Description	Notes
workspace_id	str
json_api_metric_post_optional_id_document	JsonApiMetricPostOptionalIdDocument
include	[str]	Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter "ALL" is present, all possible includes are used (include=ALL). WARNING: Individual include types (collection, relationship or ALL) cannot be combined together.	[optional]
meta_include	[str]	Include Meta objects.	[optional]

Return type

JsonApiMetricOutDocument

Authorization

No authorization required

HTTP request headers

Content-Type: application/vnd.gooddata.api+json
Accept: application/vnd.gooddata.api+json

HTTP response details

Status code	Description	Response headers
201	Request successfully processed	-

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delete_entity_metrics

delete_entity_metrics(workspace_id, object_id)

Delete a Metric

Example

import time
import gooddata_api_client
from gooddata_api_client.api import metrics_api
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = metrics_api.MetricsApi(api_client)
    workspace_id = "workspaceId_example" # str | 
    object_id = "objectId_example" # str | 
    filter = "filter=title==someString;description==someString;createdBy.id==321;modifiedBy.id==321" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)

    # example passing only required values which don't have defaults set
    try:
        # Delete a Metric
        api_instance.delete_entity_metrics(workspace_id, object_id)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->delete_entity_metrics: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Delete a Metric
        api_instance.delete_entity_metrics(workspace_id, object_id, filter=filter)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->delete_entity_metrics: %s\n" % e)

Parameters

Name	Type	Description	Notes
workspace_id	str
object_id	str
filter	str	Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123').	[optional]

Return type

void (empty response body)

Authorization

No authorization required

HTTP request headers

Content-Type: Not defined
Accept: Not defined

HTTP response details

Status code	Description	Response headers
204	Successfully deleted	-

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get_all_entities_metrics

JsonApiMetricOutList get_all_entities_metrics(workspace_id)

Get all Metrics

Example

import time
import gooddata_api_client
from gooddata_api_client.api import metrics_api
from gooddata_api_client.model.json_api_metric_out_list import JsonApiMetricOutList
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = metrics_api.MetricsApi(api_client)
    workspace_id = "workspaceId_example" # str | 
    origin = "ALL" # str |  (optional) if omitted the server will use the default value of "ALL"
    filter = "filter=title==someString;description==someString;createdBy.id==321;modifiedBy.id==321" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    include = [
        "include=createdBy,modifiedBy,facts,attributes,labels,metrics,datasets",
    ] # [str] | Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter \"ALL\" is present, all possible includes are used (include=ALL).  __WARNING:__ Individual include types (collection, relationship or ALL) cannot be combined together. (optional)
    page = 0 # int | Zero-based page index (0..N) (optional) if omitted the server will use the default value of 0
    size = 20 # int | The size of the page to be returned (optional) if omitted the server will use the default value of 20
    sort = [
        "sort_example",
    ] # [str] | Sorting criteria in the format: property,(asc|desc). Default sort order is ascending. Multiple sort criteria are supported. (optional)
    x_gdc_validate_relations = False # bool |  (optional) if omitted the server will use the default value of False
    meta_include = [
        "metaInclude=origin,page,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Get all Metrics
        api_response = api_instance.get_all_entities_metrics(workspace_id)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->get_all_entities_metrics: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get all Metrics
        api_response = api_instance.get_all_entities_metrics(workspace_id, origin=origin, filter=filter, include=include, page=page, size=size, sort=sort, x_gdc_validate_relations=x_gdc_validate_relations, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->get_all_entities_metrics: %s\n" % e)

Parameters

Name	Type	Description	Notes
workspace_id	str
origin	str		[optional] if omitted the server will use the default value of "ALL"
filter	str	Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123').	[optional]
include	[str]	Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter "ALL" is present, all possible includes are used (include=ALL). WARNING: Individual include types (collection, relationship or ALL) cannot be combined together.	[optional]
page	int	Zero-based page index (0..N)	[optional] if omitted the server will use the default value of 0
size	int	The size of the page to be returned	[optional] if omitted the server will use the default value of 20
sort	[str]	Sorting criteria in the format: property,(asc	desc). Default sort order is ascending. Multiple sort criteria are supported.
x_gdc_validate_relations	bool		[optional] if omitted the server will use the default value of False
meta_include	[str]	Include Meta objects.	[optional]

Return type

JsonApiMetricOutList

Authorization

No authorization required

HTTP request headers

Content-Type: Not defined
Accept: application/vnd.gooddata.api+json

HTTP response details

Status code	Description	Response headers
200	Request successfully processed	-

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get_entity_metrics

JsonApiMetricOutDocument get_entity_metrics(workspace_id, object_id)

Get a Metric

Example

import time
import gooddata_api_client
from gooddata_api_client.api import metrics_api
from gooddata_api_client.model.json_api_metric_out_document import JsonApiMetricOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = metrics_api.MetricsApi(api_client)
    workspace_id = "workspaceId_example" # str | 
    object_id = "objectId_example" # str | 
    filter = "filter=title==someString;description==someString;createdBy.id==321;modifiedBy.id==321" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    include = [
        "include=createdBy,modifiedBy,facts,attributes,labels,metrics,datasets",
    ] # [str] | Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter \"ALL\" is present, all possible includes are used (include=ALL).  __WARNING:__ Individual include types (collection, relationship or ALL) cannot be combined together. (optional)
    x_gdc_validate_relations = False # bool |  (optional) if omitted the server will use the default value of False
    meta_include = [
        "metaInclude=origin,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Get a Metric
        api_response = api_instance.get_entity_metrics(workspace_id, object_id)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->get_entity_metrics: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get a Metric
        api_response = api_instance.get_entity_metrics(workspace_id, object_id, filter=filter, include=include, x_gdc_validate_relations=x_gdc_validate_relations, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->get_entity_metrics: %s\n" % e)

Parameters

Name	Type	Description	Notes
workspace_id	str
object_id	str
filter	str	Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123').	[optional]
include	[str]	Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter "ALL" is present, all possible includes are used (include=ALL). WARNING: Individual include types (collection, relationship or ALL) cannot be combined together.	[optional]
x_gdc_validate_relations	bool		[optional] if omitted the server will use the default value of False
meta_include	[str]	Include Meta objects.	[optional]

Return type

JsonApiMetricOutDocument

Authorization

No authorization required

HTTP request headers

Content-Type: Not defined
Accept: application/vnd.gooddata.api+json

HTTP response details

Status code	Description	Response headers
200	Request successfully processed	-

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patch_entity_metrics

JsonApiMetricOutDocument patch_entity_metrics(workspace_id, object_id, json_api_metric_patch_document)

Patch a Metric

Example

import time
import gooddata_api_client
from gooddata_api_client.api import metrics_api
from gooddata_api_client.model.json_api_metric_patch_document import JsonApiMetricPatchDocument
from gooddata_api_client.model.json_api_metric_out_document import JsonApiMetricOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = metrics_api.MetricsApi(api_client)
    workspace_id = "workspaceId_example" # str | 
    object_id = "objectId_example" # str | 
    json_api_metric_patch_document = JsonApiMetricPatchDocument(
        data=JsonApiMetricPatch(
            attributes=JsonApiMetricPatchAttributes(
                are_relations_valid=True,
                content=JsonApiMetricInAttributesContent(
                    format="format_example",
                    maql="maql_example",
                ),
                description="description_example",
                tags=[
                    "tags_example",
                ],
                title="title_example",
            ),
            id="id1",
            type="metric",
        ),
    ) # JsonApiMetricPatchDocument | 
    filter = "filter=title==someString;description==someString;createdBy.id==321;modifiedBy.id==321" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    include = [
        "include=createdBy,modifiedBy,facts,attributes,labels,metrics,datasets",
    ] # [str] | Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter \"ALL\" is present, all possible includes are used (include=ALL).  __WARNING:__ Individual include types (collection, relationship or ALL) cannot be combined together. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Patch a Metric
        api_response = api_instance.patch_entity_metrics(workspace_id, object_id, json_api_metric_patch_document)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->patch_entity_metrics: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Patch a Metric
        api_response = api_instance.patch_entity_metrics(workspace_id, object_id, json_api_metric_patch_document, filter=filter, include=include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->patch_entity_metrics: %s\n" % e)

Parameters

Name	Type	Description	Notes
workspace_id	str
object_id	str
json_api_metric_patch_document	JsonApiMetricPatchDocument
filter	str	Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123').	[optional]
include	[str]	Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter "ALL" is present, all possible includes are used (include=ALL). WARNING: Individual include types (collection, relationship or ALL) cannot be combined together.	[optional]

Return type

JsonApiMetricOutDocument

Authorization

No authorization required

HTTP request headers

Content-Type: application/vnd.gooddata.api+json
Accept: application/vnd.gooddata.api+json

HTTP response details

Status code	Description	Response headers
200	Request successfully processed	-

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update_entity_metrics

JsonApiMetricOutDocument update_entity_metrics(workspace_id, object_id, json_api_metric_in_document)

Put a Metric

Example

import time
import gooddata_api_client
from gooddata_api_client.api import metrics_api
from gooddata_api_client.model.json_api_metric_in_document import JsonApiMetricInDocument
from gooddata_api_client.model.json_api_metric_out_document import JsonApiMetricOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = metrics_api.MetricsApi(api_client)
    workspace_id = "workspaceId_example" # str | 
    object_id = "objectId_example" # str | 
    json_api_metric_in_document = JsonApiMetricInDocument(
        data=JsonApiMetricIn(
            attributes=JsonApiMetricInAttributes(
                are_relations_valid=True,
                content=JsonApiMetricInAttributesContent(
                    format="format_example",
                    maql="maql_example",
                ),
                description="description_example",
                tags=[
                    "tags_example",
                ],
                title="title_example",
            ),
            id="id1",
            type="metric",
        ),
    ) # JsonApiMetricInDocument | 
    filter = "filter=title==someString;description==someString;createdBy.id==321;modifiedBy.id==321" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    include = [
        "include=createdBy,modifiedBy,facts,attributes,labels,metrics,datasets",
    ] # [str] | Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter \"ALL\" is present, all possible includes are used (include=ALL).  __WARNING:__ Individual include types (collection, relationship or ALL) cannot be combined together. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Put a Metric
        api_response = api_instance.update_entity_metrics(workspace_id, object_id, json_api_metric_in_document)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->update_entity_metrics: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Put a Metric
        api_response = api_instance.update_entity_metrics(workspace_id, object_id, json_api_metric_in_document, filter=filter, include=include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling MetricsApi->update_entity_metrics: %s\n" % e)

Parameters

Name	Type	Description	Notes
workspace_id	str
object_id	str
json_api_metric_in_document	JsonApiMetricInDocument
filter	str	Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123').	[optional]
include	[str]	Array of included collections or individual relationships. Includes are separated by commas (e.g. include=entity1s,entity2s). Collection include represents the inclusion of every relationship between this entity and the given collection. Relationship include represents the inclusion of the particular relationships only. If single parameter "ALL" is present, all possible includes are used (include=ALL). WARNING: Individual include types (collection, relationship or ALL) cannot be combined together.	[optional]

Return type

JsonApiMetricOutDocument

Authorization

No authorization required

HTTP request headers

Content-Type: application/vnd.gooddata.api+json
Accept: application/vnd.gooddata.api+json

HTTP response details

Status code	Description	Response headers
200	Request successfully processed	-

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Files

MetricsApi.md

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MetricsApi.md

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gooddata_api_client.MetricsApi

create_entity_metrics

Example

Parameters

Return type

Authorization

HTTP request headers

HTTP response details

delete_entity_metrics

Example

Parameters

Return type

Authorization

HTTP request headers

HTTP response details

get_all_entities_metrics

Example

Parameters

Return type

Authorization

HTTP request headers

HTTP response details

get_entity_metrics

Example

Parameters

Return type

Authorization

HTTP request headers

HTTP response details

patch_entity_metrics

Example

Parameters

Return type

Authorization

HTTP request headers

HTTP response details

update_entity_metrics

Example

Parameters

Return type

Authorization

HTTP request headers

HTTP response details