Add documentation for DTL support and JSON schema integration in IoP

docs/dtl.md

@@ -0,0 +1,106 @@
+# DTL Support
+
+Starting with version 3.2.0, IoP supports DTL transformations. 
+DTL the Data Transformation Layer in IRIS Interoperability. 
+DTL transformations are used to transform data from one format to another with a graphical editor.
+It supports also `jsonschema` structures.
+
+## How to use DTL in with Message
+
+First you need to register you message class is a `settings.py` file.
+
+To do so, you need to add the following line in the `settings.py` file:
+
+`settings.py`
+```
+from msg import MyMessage
+
+SCHEMAS = [MyMessage]
+```
+
+Then you can use iop migration command to generate schema files for your message classes.
+
+```bash
+iop --migrate /path/to/your/project/settings.py
+```
+
+### Example
+
+`msg.py`
+```python
+from iop import Message
+from dataclasses import dataclass
+
+@dataclass
+class MyMessage(Message):
+    name: str = None
+    age: int = None
+```
+
+`settings.py`
+```python
+from msg import MyMessage
+
+SCHEMAS = [MyMessage]
+```
+
+Migrate the schema files
+```bash
+iop --migrate /path/to/your/project/settings.py
+```
+
+## Building a DTL Transformation
+
+To build a DTL transformation, you need to create a new DTL transformation class.
+
+Go to the IRIS Interoperability Management Portal and create a new DTL transformation.
+
+![DTL Transformation](./img/interop_dtl_management_portal.png)
+
+Then select the source and target message classes.
+
+![DTL Transformation](./img/dtl_wizard.png)
+
+And it's schema.
+
+![DTL Transformation](./img/vdoc_type.png)
+
+Then you can start building your transformation.
+
+![DTL Transformation](./img/complex_transform.png)
+
+You can even test your transformation.
+
+![DTL Transformation](./img/test_dtl.png)
+
+Example of payload to test as a source message:
+
+```xml
+<test>
+  <Message>
+    <json><![CDATA[
+{
+"list_str":["toto","titi"],
+"post":{"Title":"foo","Selftext":"baz"},
+"list_post":[{"Title":"bar","Selftext":"baz"},{"Title":"foo","Selftext":"foo"}]
+}
+]]></json>
+  </Message>
+</test>
+```
+
+## JsonSchema Support
+
+Starting with version 3.2.0, IoP supports `jsonschema` structures for DTL transformations.
+
+Same as for message classes, you need to register your `jsonschema`.
+To do so, you need to invoke his iris command:
+
+```objectscript
+zw ##class(IOP.Message.JSONSchema).ImportFromFile("/irisdev/app/random_jsonschema.json","Demo","Demo")
+```
+
+Where the first argument is the path to the jsonschema file, the second argument is the package name and the third argument is the name of the schema.
+
+Then you can use it in your DTL transformation.
+The schema will be available in the name of `Demo`.

docs/getting-started/register-component.md

@@ -89,16 +89,18 @@ Utils.migrate()
 
 ## The `settings.py` File
 
-This file is used to store the settings of the interoperability components. It has two sections:
+This file is used to store the settings of the interoperability components. It has three sections:
 
 - `CLASSES`: Stores the classes of the interoperability components.
 - `PRODUCTIONS`: Stores the productions of the interoperability components.
+- `SCHEMAS`: Stores the schemas of the interoperability components.
 
 Example:
 ```python
 import bp
 from bo import *
 from bs import *
+from msg import RedditPost
 
 CLASSES = {
     'Python.RedditService': RedditService,
@@ -107,6 +109,8 @@ CLASSES = {
     'Python.FileOperationWithIrisAdapter': FileOperationWithIrisAdapter,
 }
 
+SCHEMAS = [RedditPost]
+
 PRODUCTIONS = [
     {
         'dc.Python.Production': {
@@ -305,4 +309,19 @@ PRODUCTIONS = [
             }
         } 
     ]
+```
+
+### The `SCHEMAS` Section
+
+This section stores the schemas of the interoperability components. It helps to register the schemas for DTL transformations.
+
+The list has the following structure:
+
+- A list of classes
+
+Example:
+```python
+from msg import RedditPost
+
+SCHEMAS = [RedditPost]
 ```

mkdocs.yml

@@ -12,6 +12,7 @@ nav:
   - API documentation:
     - Command Line Interface: command-line.md
     - Python API: python-api.md
+  - DTL Support: dtl.md
   - Reference:
     - Examples: example.md
     - Useful Links: useful-links.md