All URIs are relative to http://localhost
| Method | HTTP request | Description |
|---|---|---|
| q_s_data_manager_get_master_data | GET /api/v3/datamanager/master-data | Summary: master data for all entities Description: Retrieves All Dimension and Fact tables data. |
| q_s_data_manager_get_plugin_data | GET /api/v3/datamanager/plugin | Summary: Plugins Details Description: Retrieves All plugins information. |
| q_s_data_manager_register_scan | POST /api/v3/datamanager/scan | Summary: Insert ScanDetails Description: Register new data into scan dimension table. |
| q_s_data_manager_retrieve_scan | GET /api/v3/datamanager/scan/{scan_id}/data | Summary: Fetch ScanDetails Description: Fetch details from scan dimension table. |
Qspmdatamanagerv3MasterDataResponse q_s_data_manager_get_master_data()
Summary: master data for all entities Description: Retrieves All Dimension and Fact tables data.
- Basic Authentication (BasicAuth):
- Api Key Authentication (ApiKeyAuth):
import ibm_gdsc_sdk_saas,os
from ibm_gdsc_sdk_saas.models.qspmdatamanagerv3_master_data_response import Qspmdatamanagerv3MasterDataResponse
from ibm_gdsc_sdk_saas.rest import ApiException
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 = ibm_gdsc_sdk_saas.Configuration(
host = "http://localhost"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure HTTP basic authorization: BasicAuth
configuration = ibm_gdsc_sdk_saas.Configuration(
username = os.environ["USERNAME"],
password = os.environ["PASSWORD"]
)
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with ibm_gdsc_sdk_saas.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = ibm_gdsc_sdk_saas.QSDataManagerApi(api_client)
try:
# Summary: master data for all entities Description: Retrieves All Dimension and Fact tables data.
api_response = api_instance.q_s_data_manager_get_master_data()
print("The response of QSDataManagerApi->q_s_data_manager_get_master_data:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling QSDataManagerApi->q_s_data_manager_get_master_data: %s\n" % e)This endpoint does not need any parameter.
Qspmdatamanagerv3MasterDataResponse
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | A successful response. | - |
| 0 | An unexpected error response. | - |
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Qspmdatamanagerv3PluginDataResponse q_s_data_manager_get_plugin_data()
Summary: Plugins Details Description: Retrieves All plugins information.
- Basic Authentication (BasicAuth):
- Api Key Authentication (ApiKeyAuth):
import ibm_gdsc_sdk_saas,os
from ibm_gdsc_sdk_saas.models.qspmdatamanagerv3_plugin_data_response import Qspmdatamanagerv3PluginDataResponse
from ibm_gdsc_sdk_saas.rest import ApiException
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 = ibm_gdsc_sdk_saas.Configuration(
host = "http://localhost"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure HTTP basic authorization: BasicAuth
configuration = ibm_gdsc_sdk_saas.Configuration(
username = os.environ["USERNAME"],
password = os.environ["PASSWORD"]
)
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with ibm_gdsc_sdk_saas.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = ibm_gdsc_sdk_saas.QSDataManagerApi(api_client)
try:
# Summary: Plugins Details Description: Retrieves All plugins information.
api_response = api_instance.q_s_data_manager_get_plugin_data()
print("The response of QSDataManagerApi->q_s_data_manager_get_plugin_data:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling QSDataManagerApi->q_s_data_manager_get_plugin_data: %s\n" % e)This endpoint does not need any parameter.
Qspmdatamanagerv3PluginDataResponse
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | A successful response. | - |
| 0 | An unexpected error response. | - |
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Qspmdatamanagerv3ScanResponse q_s_data_manager_register_scan(qspmdatamanagerv3_scan_request)
Summary: Insert ScanDetails Description: Register new data into scan dimension table.
- Basic Authentication (BasicAuth):
- Api Key Authentication (ApiKeyAuth):
import ibm_gdsc_sdk_saas,os
from ibm_gdsc_sdk_saas.models.qspmdatamanagerv3_scan_request import Qspmdatamanagerv3ScanRequest
from ibm_gdsc_sdk_saas.models.qspmdatamanagerv3_scan_response import Qspmdatamanagerv3ScanResponse
from ibm_gdsc_sdk_saas.rest import ApiException
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 = ibm_gdsc_sdk_saas.Configuration(
host = "http://localhost"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure HTTP basic authorization: BasicAuth
configuration = ibm_gdsc_sdk_saas.Configuration(
username = os.environ["USERNAME"],
password = os.environ["PASSWORD"]
)
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with ibm_gdsc_sdk_saas.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = ibm_gdsc_sdk_saas.QSDataManagerApi(api_client)
qspmdatamanagerv3_scan_request = ibm_gdsc_sdk_saas.Qspmdatamanagerv3ScanRequest() # Qspmdatamanagerv3ScanRequest |
try:
# Summary: Insert ScanDetails Description: Register new data into scan dimension table.
api_response = api_instance.q_s_data_manager_register_scan(qspmdatamanagerv3_scan_request)
print("The response of QSDataManagerApi->q_s_data_manager_register_scan:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling QSDataManagerApi->q_s_data_manager_register_scan: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| qspmdatamanagerv3_scan_request | Qspmdatamanagerv3ScanRequest |
- Content-Type: application/json
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | A successful response. | - |
| 0 | An unexpected error response. | - |
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Qspmdatamanagerv3ScanResponse q_s_data_manager_retrieve_scan(scan_id)
Summary: Fetch ScanDetails Description: Fetch details from scan dimension table.
- Basic Authentication (BasicAuth):
- Api Key Authentication (ApiKeyAuth):
import ibm_gdsc_sdk_saas,os
from ibm_gdsc_sdk_saas.models.qspmdatamanagerv3_scan_response import Qspmdatamanagerv3ScanResponse
from ibm_gdsc_sdk_saas.rest import ApiException
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 = ibm_gdsc_sdk_saas.Configuration(
host = "http://localhost"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure HTTP basic authorization: BasicAuth
configuration = ibm_gdsc_sdk_saas.Configuration(
username = os.environ["USERNAME"],
password = os.environ["PASSWORD"]
)
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with ibm_gdsc_sdk_saas.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = ibm_gdsc_sdk_saas.QSDataManagerApi(api_client)
scan_id = 'scan_id_example' # str |
try:
# Summary: Fetch ScanDetails Description: Fetch details from scan dimension table.
api_response = api_instance.q_s_data_manager_retrieve_scan(scan_id)
print("The response of QSDataManagerApi->q_s_data_manager_retrieve_scan:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling QSDataManagerApi->q_s_data_manager_retrieve_scan: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| scan_id | str |
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | A successful response. | - |
| 0 | An unexpected error response. | - |
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