accml: Accelerator middle layer

accml is a software stack designed to facilitate implementing tools characterising (high) energy charged accelerator.

These tools typically address:

• characterising an accelerator
• commissioning of an accelerator
• forecasting the performance of an accelerator, which is currently under design.

For details of its concept see design.md.

🚀 Installation and Running Instructions

1. Clone the Repository

git clone https://github.com/python-accelerator-middle-layer/accml.git
cd accml

### 2. Install Dependencies
```bash  
git checkout dev/main

git submodule update --init --recursive

3. Install the Package

python3 -m pip install -e .

4. Run the Virtual Accelerator (Test bench) --EPICS VERSION

apptainer run oras://registry.hzdr.de/digital-twins-for-accelerators/containers/pyat-softioc-digital-twin:v0-1-2-bessy.2475331

Keep this terminal running — it simulates a virtual accelerator backend.

5. Run the pyAML Client (example)

cd examples/tune
python3 tune_response_measurement.py

4.1 Run the Virtual Accelerator (Test bench) --TANGO VERSION

4.1.1 Assuming mysql is runnig. or run below my sql container

where is mysql container

apptainer run oras://registry.hzdr.de/digital-twins-for-accelerators/containers/pyat-tango-digital-twin:v0-1-0.2554955

Keep this terminal running — it simulates a virtual accelerator backend.

5.1 Run the pyAML Client (example)

cd examples/tune

Comment line 14 and uncomment line 15 in tune_response_measurement.py. Then it should look like this:

# from accml.custom.accml_lib.bessyii.setup import setup
from accml.custom.accml_lib.bessyii_on_tango.setup import setup

Now you can execute on the command line:

execute:

python3 tune_response_measurement.py