Id validation

"network-31" }, { "kind": "Network", "id": "network-34" }, { "kind": "Network", "id": "network-57" }, { "kind": "Network", "id": "network-33" }, { "kind": "Network", "id": "dvportgroup-47" } ], "datastores": [ { "kind": "Datastore", "id": "datastore-35" }, { "kind": "Datastore", "id": "datastore-63" } ], "hosts": [ { "kind": "Host", "id": "host-44" }, { "kind": "Host", "id": "host-29" } ], "dasEnabled": false, "dasVms": [], "drsEnabled": true, "drsBehavior": "fullyAutomated", "drsVms": [], "datacenter": null } } }} 6.2.4. Creating a validation rule You create a validation rule by applying a config map custom resource (CR) containing the rule to the Validation service. If you create a rule with the same name as an existing rule, the Validation service performs an OR operation with the rules. If you create a rule that contradicts a default rule, the Validation service will not start. Validation rule example Validation rules are based on virtual machine (VM) attributes collected by the Provider Inventory service. For example, the VMware API uses this path to check whether a VMware VM has NUMA node affinity configured: MOR:VirtualMachine.config.extraConfig["numa.nodeAffinity"]. The Provider Inventory service simplifies this configuration and returns a testable attribute with a list value: "numaNodeAffinity": [ "0", "1"], You create a Rego query, based on this attribute, and add it to the forklift-validation-config config map: `count(input.numaNodeAffinity) != 0`Procedure Create a config map CR according to the following example: $ cat namespace: openshift-mtvdata: vmware_multiple_disks.rego: |- package 1 has_multiple_disks { 2 count(input.disks) > 1 } concerns[flag] { has_multiple_disks 3 flag := { "category": "", 4 "label":

Is 2; otherwise, the import will fail. Validate and preview items When you import a file, Commerce validates the file, first verifying that the file is formatted correctly and contains data that can be imported, then validating the spreadsheet. If you receive errors or warnings prior to the actual import, you can stop the task, edit the spreadsheet to remove any errors, and then upload the file again. After executing the validation phases and importing the spreadsheet, Commerce displays the outcome of the import in a results dialog box. File validation When you select a file for import, Commerce validates the file format and the formats of the first two rows of the spreadsheet. If there is an error in the file, a message appears on the Import dialog. Errors that can occur during this phase include the following: The file is not in CSV format. The repository or item type in the first column of row 1 is not valid. The file is missing the ID column or it is not the first column. Row 2 of the file contains properties that do not exist for this item type or have a misspelled property name. The file contains properties that are not allowed. Note: Commerce does not export these types of properties, so if the spreadsheet contains them, they were added to it manually and should be removed. The file contains a timestamp or a date property but does not have a corresponding TIMESTAMP or DATE format in row 1. Item validation After the file is uploaded and passes file validation, Commerce validates all items and displays the outcome in the Import window. You can also download a full validation report. The validation process determines how many imported items have changed, how many are new, and how many are unchanged. Note: To improve performance, Commerce does not check to see if a SKU has duplicate variants during item validation. If you find duplicate SKU variants in your catalogs, you can simply delete them. Errors or warnings that can occur during item validation include: The value in the spreadsheet cannot be converted to the correct type for a property, for example, a date does not include two digits for the month, or a letter or symbol appears in a numeric property. A value for a required property is missing. A repository ID in a property value cannot be found. If the unknown ID is for the same type of item that is being imported, the message is a warning because the item might be created elsewhere in the spreadsheet. If it is a different item type, the message is an error. Note: If the ID column contains a non-existent repository ID, a new item is created with that ID. See Format for Adding New Items. Import products, SKUs, collections, or catalogs Before you import your products or SKUs for the first time, you must create product types and variant properties in Commerce. For more information, see Manage Your Catalog. Follow

Inspera synchronizes the data.Bulk Data Download: Inspera then downloads the synchronized data in bulk.Offline Validation: The synchronized data is shared with the client offline, allowing them to validate the data at their convenienceInspera validation involves the following steps:Quizzes Creation: Client creates quizzes based on the specifications provided.Information Sharing: The client shares the exam schedule and enrollment list with Inspera as per the template provided.Schedule Validation: Inspera conducts validation checks on the provided exam schedule to ensure if all the quizzes are accurately created and visible in Inspera databaseEnrollment Validation: Inspera verifies the enrollment list to confirm that all intended participants are correctly registered for the quizzes.SCHEDULE VALIDATIONOnce quizzes are created in LMS by the client, and exam schedule is shared with Inspera, the following validation steps are performed:Quiz ID Check:Verify if the quiz ID is visible in the Inspera database.Proctoring Enabled:Verify if "proctoring enabled" is set to true.Proctoring Type:Verify if the correct "proctoring type" has been selected: live_proctor/ai_proctor.TSB Enabled (Secure Browser):Verify if "TSB enabled" is false if the exam is configured without the secure browser.Verify if "TSB enabled" is true if the exam is configured with the secure browser.Quiz Open Time:Verify if "Quiz open time" is set correctly as per the schedule, with a minimum of 30 minutes prior to the scheduled time in ProviewQuiz Close Time:Verify if "Quiz close time" is set correctly as per the exam duration.Onboarding buffer time:The buffer time for onboarding can be adjusted to ensure that students join well in advance of the actual test start time, allowing them to complete pre-flight validations with the live proctor.ENROLMENT VALIDATION (SOURCE VS INTEGRATION)If enrolment information is shared, we can validate it against the data processed via integration.Validate Student Count:Using the quiz ID, verify that the student count enrolled matches the attendee sync count for each quiz.Student Identification:With

Every 24 hours. However, this interval can be adjusted to a shorter timeframe upon customer request.Examination Launch When a candidate initiates a quiz in Moodle, their user ID and quiz ID are transmitted to Proview for validation against the scheduled candidate details. Upon successful validation, the candidate proceeds with the preflight steps in Proview and begins their examination.LMS scheduling validationsLMS DATA SYNCQuiz data sync:In the integrated workflow data is synchronized upon the creation, update, or deletion of a quiz in LMS. Following are the attributes that are processed as part of integration:"quiz_title": Title of the quiz"action": Action type (0 for New quiz Creation, 1 for update, and 2 for deletion)"quiz_id": ID of the Quiz"course_id": ID of the course in which the quiz is created"course_module_id": Course Module ID of the quiz"proctoring_enabled": Proctoring status (true or false)"proctoring_type": Type of proctoring"tsb_enabled": TSB (Time Slot Booking) status"timeopen": Opening time of the quiz"timeclose": Closing time of the quiz"timelimit": Time limit for the quiz"timemodified": Last modification time of the quiz"timecreated": Creation time of the quizEnrollement data sync:Quiz enrollement data is processed only if the quiz is marked for live proctoring. The ProviewLMS integration layer pulls the data based on schedule identified for the customer. This logic can changed based on the LMS platform and its capability.Following are the attributes that can be processedFirst nameLast nameEmail addressLMS user IDStatusExtra timeCandidate instructionNote: If automated data sync is not part of the implementation then the schedule and enrollement data should be sent to Inspera in CSV file format with the below mentioned fieldsVALIDATION STEPS FOR SCHEDULING INFORMATIONThe validation process can be carried out by either the client or Inspera, with two distinct methods: client validation and Inspera validation.Client validation involves the following steps:Quizzes Creation: The client creates quizzes tailored to their specific requirements.Data Sync: Once the quizzes are created,