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OpenAPI definition

Project description

gooddata-afm-client

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

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

  • API version: v0
  • Package version: 0.7.0
  • 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.error_message import ErrorMessage
from gooddata_afm_client.model.execution_result import ExecutionResult
# Defining the host is optional and defaults to http://gooddata-cn-ce:3000
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_afm_client.Configuration(
    host = "http://gooddata-cn-ce:3000"
)



# 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
label = "label_example" # str | Requested label.
sort_order = "ASC" # str | Sort order of returned items. Items are sorted by ```label``` title. (optional) (default to "ASC")
complement_filter = False # bool | Inverse filter: * ```false``` - return items matching ```patternFilter``` and ```exactFilter``` * ```true``` - return items not matching ```patternFilter``` and ```exactFilter``` (optional) (default to False)
pattern_filter = "patternFilter_example" # str | Return only items, whose ```label``` title case insensitively contains ```filter``` as substring. (optional)
exact_filter = [
        "exactFilter_example",
    ] # [str] | Return only items, whose ```label``` title exactly matches one of ```filter```. (optional)
offset = 0 # int | Request page with this offset. (optional) (default to 0)
limit = 1000 # int | Return only this number of items. (optional) (default to 1000)
data_sampling_percentage = 0 # float | Specifies the percentage of rows from fact datasets to use during computation. This feature is available only for workspaces that use a Vertica Data Source without table views. (optional)
skip_cache = True # bool | Ignore all caches during execution of current request. (optional)

    try:
        # Listing of label values.
        api_response = api_instance.compute_label_elements(workspace_id, label, sort_order=sort_order, complement_filter=complement_filter, pattern_filter=pattern_filter, exact_filter=exact_filter, offset=offset, limit=limit, data_sampling_percentage=data_sampling_percentage, skip_cache=skip_cache)
        pprint(api_response)
    except gooddata_afm_client.ApiException as e:
        print("Exception when calling ActionsApi->compute_label_elements: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to http://gooddata-cn-ce:3000

Class Method HTTP request Description
ActionsApi compute_label_elements GET /api/actions/workspaces/{workspaceId}/execution/collectLabelElements Listing of label values.
ActionsApi compute_label_elements_post POST /api/actions/workspaces/{workspaceId}/execution/collectLabelElements Listing of label values.
ActionsApi compute_report POST /api/actions/workspaces/{workspaceId}/execution/afm/execute Executes analytical request and returns link to the result
ActionsApi compute_valid_objects POST /api/actions/workspaces/{workspaceId}/execution/afm/computeValidObjects Valid objects
ActionsApi explain_afm POST /api/actions/workspaces/{workspaceId}/execution/afm/explain AFM explain resource.
ActionsApi retrieve_result GET /api/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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