* Add post process station and related resources
- Created JSON configuration for post_process_station and its child post_process_deck.
- Added YAML definitions for post_process_station, bottle carriers, bottles, and deck resources.
- Implemented Python classes for bottle carriers, bottles, decks, and warehouses to manage resources in the post process.
- Established a factory method for creating warehouses with customizable dimensions and layouts.
- Defined the structure and behavior of the post_process_deck and its associated warehouses.
* feat(post_process): add post_process_station and related warehouse functionality
- Introduced post_process_station.json to define the post-processing station structure.
- Implemented post_process_warehouse.py to create warehouse configurations with customizable layouts.
- Added warehouses.py for specific warehouse configurations (4x3x1).
- Updated post_process_station.yaml to reflect new module paths for OpcUaClient.
- Refactored bottle carriers and bottles YAML files to point to the new module paths.
- Adjusted deck.yaml to align with the new organizational structure for post_process_deck.
* Add PLC communication guide for AI4M
Add a comprehensive developer guide (docs/developer_guide/add_PLC.md) describing the PLC integration standard used by Uni-Lab for workstation devices, using the AI4M implementation as reference. Covers rationale for using OPC UA, the opcua_nodes_*.csv node-table format, communication base classes (BaseOpcUaClient / OpcUaClientWithSubscription), data types, and subscription/cache/reconnect behavior. Documents driver patterns for AI4MDevice, three handshake paradigms (pulse, parameter handshake, id-based), registry/graph configuration (YAML/JSON), debugging tips (KEPServerEX sim, standalone run), and a checklist for onboarding new PLC-controlled equipment.
* Refactor and extend reaction station action messages
* Refactor dispensing station tasks to enhance parameter clarity and add batch processing capabilities
- Updated `create_90_10_vial_feeding_task` to include detailed parameters for 90%/10% vial feeding, improving clarity and usability.
- Introduced `create_batch_90_10_vial_feeding_task` for batch processing of 90%/10% vial feeding tasks with JSON formatted input.
- Added `create_batch_diamine_solution_task` for batch preparation of diamine solution, also utilizing JSON formatted input.
- Refined `create_diamine_solution_task` to include additional parameters for better task configuration.
- Enhanced schema descriptions and default values for improved user guidance.
