Metadata-Version: 2.1
Name: broadlink-listener
Version: 1.2.0
Summary: Broadlink IR codes listener and SmartIR json generator.
Home-page: https://github.com/gpongelli/broadlink-listener
License: MIT
Author: Gabriele Pongelli
Author-email: gabriele.pongelli@gmail.com
Requires-Python: >=3.8.0,<4.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: broadlink (>=0.18.3,<0.19.0)
Requires-Dist: click (==8.1.3)
Requires-Dist: cloup (>=2.0.0,<3.0.0)
Requires-Dist: termcolor (>=2.1.1,<3.0.0)
Requires-Dist: tqdm (>=4.64.0,<5.0.0)
Description-Content-Type: text/markdown

# Broadlink Listener


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[![codecov](https://codecov.io/gh/gpongelli/broadlink-listener/branch/main/graphs/badge.svg)](https://codecov.io/github/gpongelli/broadlink-listener)



Broadlink IR codes listener and SmartIR json generator.

This project will install a `broadlink-listener` command line tool that can be used to generate a climate [SmartIR](https://github.com/smartHomeHub/SmartIR)
compatible json, starting from an initial structure that defines climate behavior, putting Broadlink IR remote to
listening state, until all IR code combination will being scan.


* Documentation: <https://gpongelli.github.io/broadlink-listener>
* GitHub: <https://github.com/gpongelli/broadlink-listener>
* PyPI: <https://pypi.org/project/broadlink-listener/>
* Free software: MIT


## Features

* Discover Broadlink IR remote
* Starting from SmartIR json structure like
```json
{
  "supportedController": "Broadlink",
  "minTemperature": 16,
  "maxTemperature": 31,
  "precision": 1,
  "operationModes": [
    "op_a",
    "op_b"
  ],
  "fanModes": [
    "fan_a",
    "fan_b"
  ],
  "swingModes": [
    "swing_a",
    "swing_b"
  ]
}
```
  it helps you listen all the defined IR codes to create a json like
```json
{
  "supportedController": "Broadlink",
  "minTemperature": 16,
  "maxTemperature": 31,
  "precision": 1,
  "operationModes": [
    "op_a",
    "op_b"
  ],
  "fanModes": [
    "fan_a",
    "fan_b"
  ],
  "swingModes": [
    "swing_a",
    "swing_b"
  ],
  "commands": {
    "off": "...",
    "op_a": {
        "fan_a": {
            "swing_a": {
                "16": "....",

                "31": "...."
            },
            "swing_b": {
                "16": "....",

                "31": "...."
            }
        },
        "fan_b": {
            "swing_a": {
                "16": "....",

                "31": "...."
            },
            "swing_b": {
                "16": "....",

                "31": "...."
            }
        }
    },
    "op_b": {
        "fan_a": {
            "swing_a": {
                "16": "....",

                "31": "...."
            },
            "swing_b": {
                "16": "....",

                "31": "...."
            }
        },
        "fan_b": {
            "swing_a": {
                "16": "....",

                "31": "...."
            },
            "swing_b": {
                "16": "....",

                "31": "...."
            }
        }
    }
  }
}
```

* Mandatory fields into starting json
  * `supportedController`, `minTemperature`, `maxTemperature`, `precision`
* Optional fields (at least one must be present or nothing will be listened):
  * `operationModes`, `fanModes`,`swingModes`
* Generated file can be used into SmartIR HomeAssistant component
* It's possible to interrupt with CTRL-C at any moment, a temporary file will be saved
* Temporary files are also saved at the end of each temperature range
* In case of existing temporary file, the already learnt combination will be skipped


## Example

Example of cli command:
```bash
$ broadlink-listener generate-smart-ir ./real_data/1124.json <DEVICE_TYPE> <IP> <MAC_ADDR> -n dry -n fan_only -s eco_cool
```

`real_data/1124.json` file is [this one from SmartIR GitHub repo](https://github.com/smartHomeHub/SmartIR/blob/master/codes/climate/1124.json)
in which I've added the missing "swingModes" array, supported by climate but not present on json:
```json
"swingModes": [
  "auto",
  "high",
  "mid_high",
  "middle",
  "mid_low",
  "low",
  "swing"
],
```

`<DEVICE_TYPE>`, `<IP>`, `<MAC_ADDR>` parameter can be obtained running:
```bash
$ broadlink-listener discover_ir
```


## Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter)
and the [gpongelli/cookiecutter-pypackage](https://github.com/gpongelli/cookiecutter-pypackage) project template.

