vania-janet/multiturn-rag-retrieval-data huggingface dataset:
Supported values are ansible_playbook_check, and ansible_playbook_run. 
 --playbook-name or -pn Optional The name of the Ansible playbook that you want to run. 
 --command-options or -co Optional The command-line options for the command. 
 --input or --in Optional The input variables for an action. This flag can be set multiple times, and must be in a format --inputs test=testvalue. 
 --input-file or --if Optional Input variables for an action. Provide the JSON file path that contains input variables. 
 --env or -e Optional The environment variables for an action. This flag can be set multiple times, and must be in a format --env-variables test=testvalue. 
 --env-file or -E Optional The environment variables for an action. Provide JSON file path that contains environment variables. 
 --result-format or -f Optional The result response output in JSON format. 
 --file or -f Optional Path to the JSON file containing the definition of the new job. 
 --output or -o Optional Returns the command-line output in JSON format. Currently only JSON file format is supported. 
 --json or -j Deprecated Prints the output in the JSON format. 



If the action contains the playbook name, you need to add the playbook name, so that the action playbook name takes the precedence. If you need to override the playbook name through the job, then, you have to create an action with the new playbook name.



 Using the payload file 

You can provide a payload file to specify certain parameters for the job run command. Then, you pass the file name to the command by using the --file command option.

You need to replace the <...> placeholders with the actual values. For example, "<COMMAND_OBJECT>" as "action".

Syntax

{
"command_object": "<COMMAND_OBJECT>",
"command_object_id": "<COMMAND_OBJECT_ID>",
Archiving in an EU-managed location: You must configure a bucket that complies with the EU-managed and GDPR regulations.





 Viewing archived events by using the SQL Query service 

Data Engine provides a serverless, no-ETL solution to easily query data stored in COS. [Learn more](https://cloud.ibm.com/docs/sql-query?topic=sql-query-overview).

You can use this service to analyze data from archived files in COS.

Once you have SQL Query running on IBM Cloud, you can immediately start querying your data using the SQL Query user interface, programmatically by using either the REST API or the Python ibmcloudsql library, or write a serverless function by using Cloud Functions.

When you query events:



* You must provision an instance of the Data Engine service.
* You must restrict user access to work with that instance. Users need the platform viewer role to launch the UI, and the service writer role to run queries.
* When you open the UI, the Data Engine service automatically generates a unique COS bucket that will store all of the results as CSV files from your SQL queries. To make sure that you are using a custom bucket, create one. You can specify your custom bucket as the place to to store results.
Akamai has certain limitations on port numbers. See the [FAQ](https://cloud.ibm.com/docs/CDN?topic=CDN-faqsare-there-any-restrictions-on-what-port-numbers-are-allowed) for allowed port numbers.
* header- Specifies host header information that is used by the origin server.
* uniqueId- (Required) Generated after the mapping is created.
* cname- Provide an alias to the hostname. If you did not provide a unique CNAME, one was generated for you when the mapping was created.
* bucketName- (Required for Object Storage) Bucket name for your S3 Object Storage.
* fileExtension- (optional for Object Storage) File extensions that are allowed to be cached.
* cacheKeyQueryRule- The following options are available to configure Cache Key behavior:



* include-all - Includes all query arguments default.
* ignore-all - Ignores all query arguments.
* ignore: space separated query-args - Ignores those specific query arguments (for example, ignore: query1 query2).
* include: space separated query-args: Includes those specific query arguments (for example, include: query1 query2).



* dynamicContentAcceleration- (Required for Dynamic Content Acceleration only) Provide the DCA parameters. [DCA container](https://cloud.ibm.com/docs/CDN?topic=CDN-dynamic-content-acceleration-container)



* Return- A collection of type SoftLayer_Container_Network_CdnMarketplace_Configuration_Mapping_Path.

[Origin path container](https://cloud.ibm.com/docs/CDN?topic=CDN-path-origin-container)



--------------------





 updateOriginPath 

Updates an existing origin path for an existing mapping and for a particular customer. The origin type cannot be changed with this API. The following properties can be changed: path, origin, httpPort, and httpsPort, headercacheKeyQueryRule arguments.
Or, you can create individual rules that process incoming requests for specific files and provide responses to your visitors based on the rules you define.

Zoom

![Global routing rule](https://cloud.ibm.com/docs-content/v1/content/63322f2f3a72050206eb05ba7f590fdcb741105c/cloud-object-storage/images/cos-sw-ui-global-routing.jpg)

Figure 2. Global routing rule

If you already have a hosted static website that you wish to migrate, you can bring a set of the routing rules that you have already set and import the set as code. The input shown in Figure 3 requires a JSON array formatted for the website configuration rules.

Zoom

![Import configuration code](https://cloud.ibm.com/docs-content/v1/content/63322f2f3a72050206eb05ba7f590fdcb741105c/cloud-object-storage/images/cos-sw-ui-code-config.jpg)

Figure 3. Import configuration as code

An example of JSON code exemplifies the possibilities. The following shows a rule that redirects visitors from missing pages or possible malformed request resulting in a 404 error code and redirecting the visitor to a specific error page. The JSON can contain multiple objects representing the definition of the rules as needed.

[
{
"Condition": {
"HttpErrorCodeReturnedEquals": "404"
},
"Redirect": {
"HostName": "<bucketname>.<endpoint>",
"HttpRedirectCode": "302",
"Protocol": "https",
"ReplaceKeyWith": "error404.html"
}
}
]

The same rule codified previously can be added as an individual rule using the Console, and shown in Figure 3.

Zoom

!
If you model with attributes, it keeps your cube structure simple but it describes the dimension members only, not the data itself. You can't use attributes to query data. Creating a dimension for attributes that you want to query on creates complexity.

You can use hierarchies to model your data and get the same granularity that attributes give you with the benefit of being able to query on the data. You can query directly with hierarchies on the axes or with set filtering. You save on storage costs and complexity if you model with hierarchies.





 Flexibility 

Using hierarchies to add versions creates flexibility. For example, you might need to change your organizational hierarchy for planned changes. One dimension might be the organization and you can use hierarchies in the dimension to represent the organization in the future year. This hierarchy might represent the data differently from the previous year's hierarchy. With multiple hierarchies that represent the organization, you can roll up the data in multiple ways.

Hierarchies are named and contain members. You can reuse the same consolidated members in multiple hierarchies. You can use hierarchies to group these members without the need for specific consolidated names.





 Standards 

Hierarchies conform to OLAP Industry standards. Planning Analytics with Watson modeling uses MDX and TM1 REST APIs to access TM1 data. The TM1 REST APIs support the hierarchy model and follow the ODATA standard.



* [The modeler role](https://www.ibm.com/docs/planning-analytics/2.0.0?topic=mipaw-modeler-role)

If you are enabled as an Administrator or a Modeler in Planning Analytics with Watson, you can design dimensions, hierarchies, views, and attributes to define the business logic for your application.
* [Steps to building a model](https://www.ibm.com/docs/planning-analytics/2.0.0?topic=mipaw-steps-building-model)

You design a model in response to a business need. For example, a company wants to plan its expenses for the next 12 months by expense line.
Shows any requests that have a response reason code (RC) value of 4XX. 
 Server errors (5XX) Reports server errors. Shows any requests that have a response reason code (RC) value of 5XX. 
 Unauthorized access Reports unauthorized attempts to access your archives and manage the bucket. Checks reason codes 403 and 401. 
 Partial content Reports errors uploading an object in multiple parts into the bucket so you can find out when data is not complete. 
 Enable archiving Reports when archiving is enabled so you can keep track of which instances are configured, when archiving was enabled, and by whom. 
 Disable archiving Reports when archiving is disabled so you can keep track of which instances are not archiving data for long term storage. 
 Delete bucket Reports when a bucket is deleted. 



Be sure no one disables your archiving so you don’t start to fail to save data you need for your compliance.

The following templates include an alert definition:



* The template Unauthorized access includes an alert definition that sends an email when a request with RC 403 or 401 is reported. You must change the email address to the email to receive the alert. You can also define additional notification channels, such as Slack or PagerDuty.
* The template Partial content includes an alert definition that sends an email when an object is not uploaded completely. You must change the email address to the email to receive the alert. You can also define additional notification channels, such as slack or PagerDuty.



The information on these views include the following information for each record:



* Action that you can use to identify the type of request.
* Region where the bucket is located.
* Bucket name.
* Reason code (RC).
* Account ID that indicates the account where the bucket is available.
* Instance ID that indicates the Cloud Object Storage instance where the bucket is provisioned.







 Predefined views to monitor archiving of an instance 

Use these views to monitor the archiving of Activity Tracker hosted event search instances.

To use these views, you must customize them with data from your account.

The following table outlines the predefined views that you can use to monitor 1 bucket:



Table 2. Bucket monitoring predefined views
* To create a literal environment variable, choose Literal value, specify the name for the literal environment variable, and provide a value. Notice that the Resulting definition section displays the name of the environment variable and its value.
* To create an environment variable that fully references a configmap, choose Reference full configmap, and then select the existing configmap. For this case, all keys of the selected configmap are referenced as part of the environment variable. Notice that the Resulting definition section displays the name of the keys in the configmap, but does not display the actual values of the keys that are referenced within the configmap.
* To create an environment variable that references an individual key of a defined configmap, choose Reference key in configmap, select the existing configmap that you want, and then select the key to reference as part of the environment variable. After you select the individual key in the configmap that you want to reference, notice that the Resulting definition section displays the name of the selected key in the configmap, but does not display the actual value of the key that is referenced within the configmap.
* To create an environment variable that fully references a secret, choose Reference full secret, and then select the existing secret. For this case, all keys of the selected secret are referenced as part of the environment variable. Notice that the Resulting definition section displays the name of the keys in the secret, but does not display the actual values of the keys that are referenced within the secret.
* To create an environment variable that references an individual key of a defined secret, choose Reference key in secret, select the existing secret that you want, and then select the key to reference as part of the environment variable. After you select the individual key in the secret that you want to reference, notice that the Resulting definition section displays the name of the selected key in the secret, but does not display the actual value of the key that is referenced within the secret.



From the console, you can reference only one individual key of a defined configmap or secret per environment variable. If you need to reference more than one key of a configmap or secret, then repeat the steps to define another environment variable that references a different key.
3.
Getting started with Watson Query 

Use IBM® Watson Query to break data silos across hybrid data sources and build a data fabric solution for data management. You can use Watson Query just as you would any data source, but without the time and expense of hardware setup or software installation and maintenance.

To get started, see [Quick start: Virtualize data](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-virtualize.html).

For information about using Watson Query with Cloud Pak for Data as a Service, see [Virtualizing data with Watson Query](https://dataplatform.cloud.ibm.com/docs/content/dvaas/virtualizing_data.html).



1.  After you create the Watson Query service on IBM Cloud®, you must create IAM service credentials by clicking the Service credentials tab on your service page and selecting New credential. You can log in to the web console without credentials, but you need the service credentials to use many of the Watson Query tools.
2.  To retrieve your service credentials, select the Service credentials tab from your service page and expand the credentials that you want to view.
Specify the CRN if your instance name is not unique.

CRN
: The server's Cloud resource name (CRN). Specify the CRN if NAME is not unique. You can run the ibmcloud hpvs instances command to get the CRN.

Command options

--hostname HOST-NAME
: The hostname that will be set within the Hyper Protect Virtual Servers container by using this parameter value.

--rd REGISTRATION-DEFINITION
: The encrypted and signed registration definition that is used for [Bring your own server image (BYOI)](https://cloud.ibm.com/docs/hp-virtual-servers?topic=hp-virtual-servers-byoi). --rd or --rd-path is optional when you use a self-provided image.

--rd-path REGISTRATION-DEFINITION-PATH
: File path to the file that contains the encrypted and signed registration definition that is used for BYOI. --rd or --rd-path is optional when you use a self-provided image.

-i IMAGE-TAG
: The image tag for the BYOI server image. Required if you're using your own image.

-e ENV-CONFIG
: Specify environment variables when you use a self-provided image. They need to be specified in your registration definition first. You can set one or more environment variables as key value pairs by using the -e flag, for example, -ibmcloud hpvs instance-update CRN -i latest -e k1=v1 -e k2='v2 v3'. Environment variable names can have a maximum length of 64 characters and can be numbers, chars, and underscore. Environment variable values can have a maximum length of 4096.

--force
: Forces the update of the Hyper Protect Virtual Servers instance without prompting for confirmation.

Example output

ibmcloud hpvs instance-update hpvs-env-test -i latest --rd-path "registration.json.asc"

This will wipe all the data from your virtual boot disk of the virtual server and replace it with a new image.
Excluding log data by using exclusion rules in the web UI 

In an IBM Log Analysis instance, you can configure exclusion rules through the logging web UI to stop logs from counting against your data usage quota and from being stored for search.

Complete the following steps to define an exclusion rule:

Verify that each exclusion rule that you add behaves as expected. Improper configured exclusion rules can result in storing data not intended for storage.



1. [Launch the IBM Log Analysis web UI](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-view_logsview_logs_step2).
2. Click the Settings icon ![Configuration icon](https://cloud.ibm.com/docs-content/v1/content/f61dbc5d84bf0c89e477a05cab04c72f429e1b7a/log-analysis/images/admin.png). Then select Usage > Exclusion Rules.
3. Select Add Rule. The Create Rule section opens.
4. Enter a name for the rule in the section What is this rule for?.
5. Enter the exclusion criteria. You can select 1 or more sources, 1 or more apps, enter a query, or a combination of sources, apps and query.

For example, to exclude all the lines from a specific source, select that source and leave the apps and query fields blank.

You might want to exclude logs from an app, then leave the sources and query fields blank, and enter an app.

You might want to exclude all the logs that are coming from a specific source and app. You must choose the source and app, and leave blank the query field.

You can enter a query to define the exclusion rule, or to refine the exclusion rule when you specify a source, an app, or both.
6. Select **Preserve these lines for live-tail and alerting ** to show through the live tail the log lines that are excluded. Notice that you can still use these log lines to set up an alert.
7. Click Save.
8.
Retrieving keys by Extractable value 

By specifying the extractable parameter at query time, you can retrieve keys whose material can leave the service.

For example, you might have both standard and root keys in your Hyper Protect Crypto Services instance, but you only want to retrieve keys with extractable key material when you make a GET /keys request.

The extractable query parameter takes in a boolean.

You can use the following example request to retrieve a different set of keys.

$ curl -X GET "https://api.<region>.hs-crypto.cloud.ibm.com:<port>/api/v2/keys?extractable=<extractable>" -H "accept: application/vnd.ibm.collection+json" -H "authorization: Bearer <IAM_token>" -H "bluemix-instance: <instance_ID>"

Replace the extractable variable in your request according to the following table.



Table 5. Describes the extractable variable

 Variable Description 

 extractable The type of keys to be retrieved. Filters keys based on the extractable property. You can use this query parameter to search for keys whose material can leave the service. If you set the parameter to true, standard keys are retrieved. If you set the parameter to false, root keys are retrieved. If the parameter is omitted, both root and standard keys are retrieved. For example, if you want to only list keys with extractable material in your service instance, use ../keys?extractable=true. You can also pair extractable with offset, limit, and state to page through your available resources. 



For usage notes, check out the following examples for setting your extractable query parameter.



Table 6. Provides usage notes for the extractable query parameter

 URL Description 

 ../keys Lists all of your available resources, up to the first 200 keys. 
 ../keys?extractable=true Lists standard keys. 
 ../keys?extractable=false Lists root keys. 







 Sorting a list of keys
: The path to a file that contains the gpg passphrase used for the private part of the registration key. The passphrase must consist of at least 6 characters. To make sure that a new line is not appended, use echo with -n or cat with EOF.

--cap-add CAPABILITIES
: The Linux capabilities to be enabled are specified as a comma separated list.

--isv-secrets ISV-SECRETS
: The Linux secrets to be used in BYOI. The secrets are added in the /isv_secrets/secrets.json file, within the container.

The ISV secrets is a key value pair that is separated by a colon, and you can specify a list secrets that are separated by a comma. Avoid adding spaces after the comma when you are specifying multiple secrets. If the size of the secret is large, it is recommended that you specify it by using the --isv-secrets command parameter. To update ISV secrets, you must create a new registration definition file with the updated ISV secrets and use the same registration definition file when running the hpvs instance-update command to update the instance.

--no-isv-secrets
: If the image does not require any isv secrets, this parameter can be set. You need not provide the isv-secrets parameter, and if you do, it will be ignored.





 Example output 

In this sample, the registration-key-create command is run with some, but not all, parameters. The output (the last line in sample) shows the command with all parameters. You are prompted for the password and the gpg pass phrase. You must use the path to a file that contains the password for the --cr-pwd-path parameter and the path to a file that contains the pass phrase for the --gpg-passphrase-path parameter. The sample command contains placeholders for those paths.

$ ibmcloud hpvs registration-create --registration-key-public-path abcdefg.public --registration-key-private-path abcdefg.private --isv-secrets key1:value1,key2:value2
Repository name> docker.io/containers/your-image
Next, you can edit your API definition as you would any other REST API definition.





 Importing APIs from IBM Integration Bus 

Import REST APIs that you create with IBM Integration Bus into IBM® API Connect for IBM Cloud®, which makes it easier to manage and publish them.

Before you begin, ensure that your REST API file conforms to version 2.0 of the OpenAPI specification. The format of the file can be JSON or YAML.

You can use IBM Integration Bus to create REST APIs, which are specialized applications that can be used to expose integrations as a RESTful web service and can be called by HTTP clients. After you create the APIs, you can import them into API Connect to manage and publish them.

The following list contains a few advantages of managing your APIs in API Connect:



* You can monitor the number of calls to your API.
* You can control the number of calls to your API.
* You can maintain multiple versions of an API.



For more benefits, see [Managing APIs](https://cloud.ibm.com/docs/apiconnect?topic=apiconnect-managing_apis).

To create a REST API in IBM Integration Bus and import it into API Connect, complete the following steps:



1. Create the REST API by using IBM Integration Bus. Restriction: You can create a REST API only with the IBM Integration Toolkit, which is provided with the installed version of IBM Integration Bus.



1. Create a REST API by using the IBM Integration Toolkit. For more information about how to complete the tasks for creating a REST API with IBM Integration Bus, see [Developing integration solutions by using REST APIs](https://www.ibm.com/support/knowledgecenter/SSMKHH_10.0.0/com.ibm.etools.mft.doc/bi12016_.htm) in the IBM Knowledge Center.
2. Open the Create a REST API wizard by selecting File > New > REST API.
3. Enter a name for the REST API. The name that you specify is used as the name of the project in the IBM Integration Toolkit.
4.