# Delete Users Assets Report

### The "Deleted Users Assets Report" provides an overview of assets (content and course assets) created by users who have been deleted from the system. The report involves the following steps:

1. **Fetch Deleted Users:** Retrieve a list of users who have been marked as deleted from the database.
2. **Extract User IDs:** Extract the unique identifiers for these deleted users.
3. **Fetch Content Assets:** Query an external API to fetch assets (such as documents, media, etc.) created by these deleted users.
4. **Fetch Course Assets:** Query an external API to fetch course-related assets (like course batches) associated with these deleted users.
5. **Fetch ML Assets from API or MongoDB**: The job queries an external API (ML\_ASSET\_SEARCH\_URL) to fetch ML assets (solutions and programs) created by the deleted users. Alternatively, if the API call fails, the job directly queries MongoDB to retrieve the required ML asset data. This involves connecting to the MongoDB instance and executing aggregate queries to filter and retrieve the relevant ML assets based on user IDs.
6. **Process DataFrames:** Integrate the dataframes for deleted users and their assets, and perform necessary processing, such as filtering and deduplication.
7. **Save Report to Blob Storage:** Save the final processed report to a cloud-based blob storage, typically in CSV format.

This report is useful for auditing, tracking, and removing assets that are no longer needed, ensuring system cleanliness and compliance with data retention policies.<br>

<figure><img src="/files/drQaOyjY6RHNvP4UHJur" alt=""><figcaption></figcaption></figure>

\
**Data provider:**

* Cassandra - User table
* Course Batch API
* Content Search API

**Delete Asset report CSV content:**

| Column Label    | Column Type | Data Type | Description                                                                                 |
| --------------- | ----------- | --------- | ------------------------------------------------------------------------------------------- |
| userId          | Static      | String    | User Id of the deleted User                                                                 |
| username        | Static      | String    | Decrypted user name of the deleted user                                                     |
| roles           | Static      | String    | Roles of the deleted user                                                                   |
| assetIdentifier | Static      | String    | Identifier of the asset / course batch / ML program / solution                              |
| assetName       | Static      | String    | Name of the asset / course batch / ML program / solution                                    |
| assetStatus     | Static      | String    | Status of the asset / course batch / ML program / solution i.e live/draft                   |
| objectType      | Static      | String    | Object type of the asset/course batch / ML program / solution i.e QuestionSet/content/batch |

\
**Sample data:**

```
userId	username	roles	assetIdentifier	assetName	assetStatus	objectType
cc3220fe-ace3-4716-a3a4-4ed799740947 	TestUser1	ORG_ADMIN	do_11395143971887513612	Test SRK QuestionSet	Live	QuestionSet
ed8f22b1-1c33-4ca5-b8fd-572844ef3a7a 	Demouser	CONTENT_CREATOR	do_11395139703507353614	QuestionSet-FT-2014	Draft	QuestionSet
ed8f22b1-1c33-4ca5-b8fd-572844ef3a7a 	DeleteuserTest  BOOK_CREATOR    do_11395217540852940811 sameple course	        Live	Content
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://lern.sunbird.org/use/developer-guide/user-and-org-service/reports/other-jobs/state-admin-geo-report.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.