Restructure public config and deployment

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ajp_anton
2026-05-30 19:17:27 +00:00
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@@ -15,53 +15,116 @@ New code lives under [`src/ha_deconz_bridge`](./src/ha_deconz_bridge/). Local/pr
This started as a personal hobby project, was put on ice for a while after motivation ran out, and was later picked up again as a clean rewrite with substantial help from AI. The current public codebase is the rewritten version; old experiments are kept out of the repository history.
## Project Layout
## What You Need
- [`docs/semantics.md`](./docs/semantics.md): runtime behavior and mapping rules
- [`docs/architecture.md`](./docs/architecture.md): package structure and data flow
- [`docs/configuration.md`](./docs/configuration.md): typed light definitions
- [`docs/deployment.md`](./docs/deployment.md): Raspberry Pi deploy and service flow
- [`docs/debugger.md`](./docs/debugger.md): shared-core simulator
- [`docs/plan.md`](./docs/plan.md): implementation plan that drove this reboot
- Python 3.11 or newer.
- Home Assistant with MQTT discovery enabled.
- deCONZ/Phoscon already controlling the physical lights.
- SSH access to the Raspberry Pi or other Linux host if you want to deploy it as a service.
## Quick Start
## Configuration Files
Install in editable mode:
The project is meant to be self-contained. Public example files live in [`config.example/`](./config.example/), and your real private files live in ignored `config/`.
Create your private config:
```bash
python3 -m pip install -e '.[dev]'
mkdir -p config
cp config.example/*.py config/
cp config.example/service.env.example config/service.env
cp config.example/deploy.env.example config/deploy.env
```
Run the test suite:
Then edit:
- `config/lights_config.py`: loads the other config files.
- `config/lights.py`: virtual lights and physical controller/channel definitions.
- `config/groups.py`: room/group definitions.
- `config/remotes.py` and `config/actions.py`: optional remote button automation.
- `config/service.env`: MQTT and deCONZ connection settings.
- `config/deploy.env`: SSH target and deploy settings for the Pi.
Files under `config/` are ignored by Git.
## Run Locally
This runs the bridge on the current machine. It is useful for testing the config or running the web debugger before deploying to a Pi.
1. Create a Python environment:
```bash
pytest
python3 -m venv .venv
```
Create a private config from the public example:
2. Install the program into that environment:
```bash
mkdir -p configs/local
cp configs/example.py configs/local/lights_config.py
cp configs/example_*.py configs/local/
.venv/bin/pip install .
```
Edit `configs/local/lights_config.py` and the copied split files for your real controller IDs, light names, groups, and calibration values. Files under `configs/local/` are ignored by Git.
Run the service with a Python config path that exports `SETTINGS` and `LIGHTS`:
3. Load the connection settings and run the service:
```bash
ha-deconz-bridge-service configs/local/lights_config.py
set -a
. config/service.env
set +a
.venv/bin/ha-deconz-bridge-service config/lights_config.py
```
Run the browser debugger against the same config:
4. In another terminal, run the browser debugger if you want to inspect solver behavior:
```bash
ha-deconz-bridge-debug-web configs/local/lights_config.py "Example Mixed North" --host 127.0.0.1 --port 8765
set -a
. config/service.env
set +a
.venv/bin/ha-deconz-bridge-debug-web config/lights_config.py "Living Room Ceiling" --host 127.0.0.1 --port 8765
```
## Configuration And Deployment
Then open `http://127.0.0.1:8765`.
The public repository includes sanitized example configs under [`configs/example.py`](./configs/example.py). Keep real room names, controller IDs, hostnames, user names, and deployment scripts in ignored local files such as `configs/local/`.
On Windows, use `.venv\Scripts\pip` and `.venv\Scripts\ha-deconz-bridge-service` instead of the `.venv/bin/...` paths.
See [`docs/deployment.md`](./docs/deployment.md) for the generic service layout and deployment expectations.
## Deploy To A Pi
This is the normal always-on setup. The deploy script copies the app and config to the target, creates or updates a virtualenv there, installs the package, installs systemd user services, and starts the bridge.
1. Make sure `config/deploy.env` contains your SSH target:
```bash
DEPLOY_HOST=pi@raspberrypi.local
DEPLOY_REMOTE_DIR=~/ha-deconz-bridge
```
2. Deploy:
```bash
python deploy/deploy.py
```
3. For later config-only changes, redeploy just the config:
```bash
python deploy/deploy.py --config-only
```
4. Check the service on the Pi:
```bash
ssh pi@raspberrypi.local 'systemctl --user status ha-deconz-bridge.service --no-pager'
```
The optional web debugger service can be started on the Pi with:
```bash
ssh pi@raspberrypi.local 'systemctl --user start ha-deconz-bridge-debug.service'
```
It listens on port `8766` by default.
## More Documentation
- [`docs/configuration.md`](./docs/configuration.md): config format and examples.
- [`docs/deployment.md`](./docs/deployment.md): deployment details and service layout.
- [`docs/debugger.md`](./docs/debugger.md): web debugger behavior.
- [`docs/semantics.md`](./docs/semantics.md): solver and Home Assistant behavior.
- [`docs/architecture.md`](./docs/architecture.md): package structure and data flow.