Metadata-Version: 2.1
Name: pytadolog
Version: 1.0.0
Summary: CSV logger for PyTado
Home-page: https://github.com/jjgibson/PyTadoLog
Author: Josh Gibson
Author-email: josh-gibson@outlook.com
License: MIT
Keywords: tado,python,logging
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Home Automation
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Requires-Dist: keyring
Requires-Dist: numpy
Requires-Dist: openpyxl
Requires-Dist: pandas

pytadolog: CSV logging for PyTado
=================================

``pytadolog`` is a Python module which extends the `python-tado`_
package so that data can be logged from the Tado web API to a local CSV
file.

Installation
------------

Note about PyTado
~~~~~~~~~~~~~~~~~

This package requires python-tado to query the TADO web API, however
development of the main package appears to have stalled. There are a
number of forks available on PyPI with different APIs and varying
aliases (`python-tadoac`_, `python-tado (PyPI)`_, `pytado`_). This package was
developed with ``python-tado`` v0.2.9 cloned directly from GitHub, it
has been tested to be compatible with `commit 00a9ab1`_.

Therefore, before installing pytadolog you must first install the
correct version of pytado. This can be achieved using the package
manager `pip`_ as below:

.. code:: bash

   pip install git+https://git@github.com/chrism0dwk/PyTado.git@00a9ab12569e84a5537c2a0517c3a6b5cbb9d535

pip can then be used to install ``pytadolog``.

.. code:: bash

   pip install pytadolog

Usage
-----

``pytadolog`` includes a helpful console script and can easily be
invoked with:

.. code:: bash

   >>> tadolog

Commandline arguments can also be provided to customise ``pytadolog``.
These can be explored using:

.. code:: bash

   >>> tadolog -h

   usage: __main__.py [-h] [-o OUTDIR] [--update-period UPDATE_PERIOD]
                      [--last-day LAST_DAY] [-m]

   optional arguments:
     -h, --help            show this help message and exit
     -o OUTDIR, --outdir OUTDIR
                           path to output directory
     --update-period UPDATE_PERIOD
                           time in seconds between updates
     --last-day LAST_DAY   last day of week as 3 letter string
     --disable-multiproc   use single process for web query and csv saving
     -d, --debug           log debugging statements to file
     -v, --verbose         log info statements to file

CSV conversion
~~~~~~~~~~~~~~

This package includes a handy script to convert created CSV files to
Excel files. Conversion requires `openpyxl`_ to be installed. The
script can be invoked from the console using:

.. code:: bash

   >>> csv2excel path/to/csv

Again, console arguments can be passed to the script to customise
execution:

.. code:: bash

   >>> csv2excel -h

   usage: csv2excel [-h] [-o OUTPATH] [--dropna] input

   positional arguments:
     input                 path to csv to convert

   optional arguments:
     -h, --help            show this help message and exit
     -o OUTPATH, --outpath OUTPATH
                           path to output xlsx
     --dropna              drop NaN values in xlsx

Other methods for launching pytadolog
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The package can be invoked using the ``main()`` method of the package:

.. code:: bash

   >>> python -m pytadolog
   Alternatively the class can be imported into Python and started explicitly:

   ```python
   from pytadolog import TadoLogger


   with TadoLogger() as tl:
       tl.start()  # Starts logging to CSV

Using the context manager ensures that scheduled events are cleaned up
when the process is terminated. This can be handled explicitly by
calling the ``close()`` method:

.. code:: python

   from pytadolog import TadoLogger


   tl = TadoLogger()
   try:
       tl.start()  # Starts logging to CSV
   except KeyboardInterrupt:
       tl.close()  # Cancels scheduled events

Output
------

``pytadolog`` creates a CSV file containing weather data for the
registered home and set temperature, heating power, measured temperature
and relative humidity of each zone in the home. This is structured using
a ``pandas`` `MultiIndex`_. The CSV is updated at the ``update_period``
which defaults to 30s as this is the fastest Tado queries connected
devices. By default the CSVs will be stored in home/Documents/TadoLogs

The CSV will be structured like this: 

+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| Zone  | We    | We    | We    | Livin | Livin | Livin | Livin | Livin | Hall  | Hall  | Hall  | Hall  | Hall  |
|       | ather | ather | ather | groom | groom | groom | groom | groom |       |       |       |       |       |
+=======+=======+=======+=======+=======+=======+=======+=======+=======+=======+=======+=======+=======+=======+
| Var   | Ou    | Solar | We    | Temp  | R.H.  | Set   | He    | Open  | Temp  | R.H.  | Set   | He    | Open  |
| iable | tside | Int.  | ather | (°C)  | (%)   | Temp  | ating | W     | (°C)  | (%)   | Temp  | ating | W     |
|       | Temp  | (%)   |       |       |       | (°C)  | Power | indow |       |       | (°C)  | Power | indow |
|       | (°C)  |       |       |       |       |       | (%)   |       |       |       |       | (%)   |       |
+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| 2021- | 13.33 | 0.0   | NI    | 23.88 | 45.0  | 20.0  | 0.0   | FALSE | 18.56 | 58.4  | 13.0  | 0.0   | FALSE |
| 02-20 |       |       | GHT_C |       |       |       |       |       |       |       |       |       |       |
| 19:   |       |       | LOUDY |       |       |       |       |       |       |       |       |       |       |
| 03:30 |       |       |       |       |       |       |       |       |       |       |       |       |       |
+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| 2021- | 13.33 | 0.0   | NI    | 23.88 | 45.0  | 20.0  | 0.0   | FALSE | 18.56 | 58.4  | 13.0  | 0.0   | FALSE |
| 02-20 |       |       | GHT_C |       |       |       |       |       |       |       |       |       |       |
| 19:   |       |       | LOUDY |       |       |       |       |       |       |       |       |       |       |
| 04:00 |       |       |       |       |       |       |       |       |       |       |       |       |       |
+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| 2021- | 13.33 | 0.0   | NI    | 23.88 | 45.0  | 20.0  | 0.0   | FALSE | 18.56 | 58.4  | 13.0  | 0.0   | FALSE |
| 02-20 |       |       | GHT_C |       |       |       |       |       |       |       |       |       |       |
| 19:   |       |       | LOUDY |       |       |       |       |       |       |       |       |       |       |
| 04:30 |       |       |       |       |       |       |       |       |       |       |       |       |       |
+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+

``pytadolog`` will also generate a logfile to track progress. This is
stored in a logs/ subdirectory in the output directory, i.e.
home/Documents/TadoLogs/logs by default.

Tado credentials
----------------

``pytadolog`` uses `keyring`_ to store the Tado log in credentials
securely using the operating system's default keyring service.

From the ``keyring`` README:

   These recommended keyring backends are supported:

   -  macOS `Keychain`_
   -  Freedesktop `Secret Service`_ supports many DE including GNOME
      (requires `secretstorage`_)
   -  KDE4 & KDE5 `KWallet`_ (requires `dbus`_)
   -  `Windows Credential Locker`_

   Other keyring implementations are available through `Third-Party
   Backends`_.

Contributing
------------

Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.

[Black](https://black.readthedocs.io/) is used to format all Python files.

A GitHub action is set-up to automatically build and publish tagged releases
to the [PyPI](https://pypi.org/project/pytadolog/) repository. All pushes to
the master branch are built and published to the [TestPyPI](https://test.pypi.org/project/pytadolog/)
repository.

License
-------

`MIT`_

.. _python-tado: https://github.com/chrism0dwk/PyTado
.. _python-tadoac: https://pypi.org/project/python-tadoac/
.. _python-tado (PyPI): https://pypi.org/project/python-tado/
.. _pytado: https://pypi.org/project/pytado/
.. _commit 00a9ab1: https://github.com/chrism0dwk/PyTado/tree/00a9ab12569e84a5537c2a0517c3a6b5cbb9d535
.. _pip: https://pip.pypa.io/en/stable/
.. _openpyxl: https://pypi.org/project/openpyxl/
.. _MultiIndex: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html
.. _keyring: https://pypi.org/project/keyring/
.. _Keychain: https://en.wikipedia.org/wiki/Keychain_%28software%29
.. _Secret Service: http://standards.freedesktop.org/secret-service/
.. _secretstorage: https://pypi.python.org/pypi/secretstorage>
.. _KWallet: https://en.wikipedia.org/wiki/KWallet
.. _dbus: https://pypi.python.org/pypi/dbus-python
.. _Windows Credential Locker: https://docs.microsoft.com/en-us/windows/uwp/security/credential-locker
.. _Third-Party Backends: https://github.com/jaraco/keyring/blob/main/README.rst#third-party-backends
.. _MIT: https://choosealicense.com/licenses/mit/

