> For the complete documentation index, see [llms.txt](https://lern.sunbird.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lern.sunbird.org/use/developer-guide/ml-service/data-products/program-exhaust/folder-structure.md).

# Folder Structure

Program Exhaust Service folder structure is designed to organize the different modules and files that constitute the Program User Info Exhaust Job application. It follows a modular approach, facilitating easy management and development of the service.

### The structure is as follows

<pre><code>.
├── pom.xml
<strong>└── src
</strong>    ├── main
    │   ├── resources
    │   │   ├── application.conf
    │   │   ├── data.cql
    │   │   ├── log4j.properties
    │   │   └── log4j2.xml
    │   └── scala
    │       └── org
    │           └── sunbird
    │               └── ml
    │                   └── exhaust
    │                       ├── BaseMLExhaustJob.scala
    │                       └── ProgramUserInfoExhaustJob.scala
    │               
    └── test
        ├── resources
        │   └── application.conf
        │     
        └── scala
            └── org
                └── sunbird
                    └── ml
                        └── exhaust
                            └── TestProgramUserInfoExhaustJob.scala
 
 
</code></pre>

**main.ml.exhaust**&#x20;

This main directory houses our Program Exhaust data product. The *ProgramUserInfoExhaustJob.scala* file contains functions related to Personally Identifiable Information (PII), used for querying the Cassandra database. Additionally, the *BaseMLExhaustJob.scala* file contains generic functions such as execution, data transformation, storage in blob storage, and retrieval of file paths.

**test.ml.exhaust**&#x20;

In the exhaust folder we have the main test case file called *TestProgramUserInfoExhaustJob.scala* that is used to test our data-product.

**resources**

This folder contains application related configurations under both main and test directory.

### **Source code**

{% embed url="<https://github.com/shikshalokam/data-products/tree/release-5.3.0/lern-data-products/src/main/scala/org/sunbird/ml/exhaust>" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://lern.sunbird.org/use/developer-guide/ml-service/data-products/program-exhaust/folder-structure.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
