CCM-12896: Tidy up README

Author: gareth-allan

src/python-schema-generator/README.md

@@ -16,12 +16,14 @@ Use `make install-dev` to install the necessary dependencies for this applicatio
 ## Generating Models
 
 In order for this tool to function, you must first build the JSON schemas for
-the Digital Letters events. The simplest way to build these schemas is to run
-the `npm run generate-dependencies` command from the root of this repository.
+the Digital Letters events. This is done automatically when the `make config`
+command is run, but if you need to rebuild them for some reason the simplest
+approach is to run the `make generate` command from the root of this repository.
 
 ### Using the Generator
 
-Once the JSON schemas have been built, Pydantic models can be generated by running:
+Once the JSON schemas have been built, Pydantic models can be generated by
+running the following from this directory:
 
 ```bash
 make generate
@@ -31,15 +33,7 @@ This will:
 
 - Read all JSON event schemas from `schemas/digital-letters/2025-10-draft/events/`
 - Generate Pydantic v2 models using `datamodel-code-generator`
-- Output the models to `../digital-letters-events/models/`
-
-### Configuration
-
-The generator can be configured through:
-
-- Command-line arguments
-- Environment variables
-- Configuration file (if needed)
+- Output the models to `../digital-letters-events/digital_letters_events/models/`
 
 ### Output Structure
 
@@ -50,8 +44,8 @@ Generated models are placed in the
 <!-- vale Vale.Terms = YES -->
 <!-- vale Vale.Avoid = YES -->
 
-- `../digital-letters-events/models/` - Individual Pydantic model files
-- `../digital-letters-events/models/__init__.py` - Combined index for easy imports
+- `../digital-letters-events/digital_letters_events/models/` - Individual Pydantic model files
+- `../digital-letters-events/digital_letters_events/models/__init__.py` - Combined index for easy imports
 
 ## Testing
 
@@ -85,26 +79,3 @@ make install-dev
 ```bash
 make test
 ```
-
-## Usage
-
-Once generated, the models can be used in your code as follows:
-
-```python
-from digital_letters_event_python import PrintLetterAvailable, CloudEventEnvelope
-
-# Validate incoming event
-event_data = CloudEventEnvelope(**raw_event)
-if event_data.type == "uk.nhs.notify.digital.letters.letter.available.v1":
-    letter_available = PrintLetterAvailable(**raw_event)
-    # Process the validated event
-```
-
-## Architecture
-
-The generator consists of:
-
-- `src/generate_models.py` - Main CLI script
-- `src/schema_processor.py` - Schema loading and processing
-- `src/model_generator.py` - Pydantic model generation logic
-- `src/file_utils.py` - File system utilities