gooddata-afm-client

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This Python package is automatically generated by the OpenAPI Generator project:

API version: v0
Package version: 1.2.0
Build package: org.openapitools.codegen.languages.PythonClientCodegen

Requirements.

Python >=3.6

Installation & Usage

pip install

If the python package is hosted on a repository, you can install directly using:

pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git

(you may need to run pip with root permission: sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)

Then import the package:

import gooddata_afm_client

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import gooddata_afm_client

Getting Started

Please follow the installation procedure and then run the following:

import time
import gooddata_afm_client
from pprint import pprint
from gooddata_afm_client.api import actions_api
from gooddata_afm_client.model.afm_execution import AfmExecution
from gooddata_afm_client.model.afm_execution_response import AfmExecutionResponse
from gooddata_afm_client.model.afm_valid_objects_query import AfmValidObjectsQuery
from gooddata_afm_client.model.afm_valid_objects_response import AfmValidObjectsResponse
from gooddata_afm_client.model.elements_request import ElementsRequest
from gooddata_afm_client.model.elements_response import ElementsResponse
from gooddata_afm_client.model.execution_result import ExecutionResult
from gooddata_afm_client.model.result_cache_metadata import ResultCacheMetadata
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_afm_client.Configuration(
    host = "http://localhost"
)



# Enter a context with an instance of the API client
with gooddata_afm_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = actions_api.ActionsApi(api_client)
    workspace_id = "/6bUUGjjNSwg0_bs" # str | Workspace identifier
    elements_request = ElementsRequest(
        complement_filter=False,
        data_sampling_percentage=100,
        exact_filter=[
            "exact_filter_example",
        ],
        exclude_primary_label=False,
        filter_by=FilterBy(
            label_type="REQUESTED",
        ),
        label="label_example",
        pattern_filter="pattern_filter_example",
        sort_order="ASC",
    ) # ElementsRequest | 
    offset = 0 # int | Request page with this offset. Must be positive integer. The API is limited to the maximum of 10000 items. Therefore this parameter is limited to this number as well. (optional) (default to 0)
    limit = 1000 # int | Return only this number of items. Must be positive integer. The API is limited to the maximum of 10000 items. Therefore this parameter is limited to this number as well. (optional) (default to 1000)
    skip_cache = False # bool | Ignore all caches during execution of current request. (optional) (default to False)

    try:
        # Listing of label values. The resulting data are limited by the static platform limit to the maximum of 10000 rows.
        api_response = api_instance.compute_label_elements_post(workspace_id, elements_request, offset=offset, limit=limit, skip_cache=skip_cache)
        pprint(api_response)
    except gooddata_afm_client.ApiException as e:
        print("Exception when calling ActionsApi->compute_label_elements_post: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to http://localhost

Class	Method	HTTP request	Description
ActionsApi	compute_label_elements_post	POST /api/v1/actions/workspaces/{workspaceId}/execution/collectLabelElements	Listing of label values. The resulting data are limited by the static platform limit to the maximum of 10000 rows.
ActionsApi	compute_report	POST /api/v1/actions/workspaces/{workspaceId}/execution/afm/execute	Executes analytical request and returns link to the result
ActionsApi	compute_valid_objects	POST /api/v1/actions/workspaces/{workspaceId}/execution/afm/computeValidObjects	Valid objects
ActionsApi	explain_afm	POST /api/v1/actions/workspaces/{workspaceId}/execution/afm/explain	AFM explain resource.
ActionsApi	retrieve_execution_metadata	GET /api/v1/actions/workspaces/{workspaceId}/execution/afm/execute/result/{resultId}/metadata	Get a single execution result's metadata.
ActionsApi	retrieve_result	GET /api/v1/actions/workspaces/{workspaceId}/execution/afm/execute/result/{resultId}	Get a single execution result

Documentation For Models

Documentation For Authorization

All endpoints do not require authorization.

Author

support@gooddata.com

Notes for Large OpenAPI documents

If the OpenAPI document is large, imports in gooddata_afm_client.apis and gooddata_afm_client.models may fail with a RecursionError indicating the maximum recursion limit has been exceeded. In that case, there are a couple of solutions:

Solution 1: Use specific imports for apis and models like:

from gooddata_afm_client.api.default_api import DefaultApi
from gooddata_afm_client.model.pet import Pet

Solution 2: Before importing the package, adjust the maximum recursion limit as shown below:

import sys
sys.setrecursionlimit(1500)
import gooddata_afm_client
from gooddata_afm_client.apis import *
from gooddata_afm_client.models import *

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