fuefit 0.0.3-beta.2

*fuefit* fits engine-maps on physical parameters

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*fuefit* fits engine-maps on physical parameters
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|dev-status| |docs-status| |pypi-status| |downloads-count| |github-issues|

:Release: x.x.x
:Home: https://github.com/ankostis/fuefit
:Documentation: https://fuefit.readthedocs.org/
:PyPI: https://pypi.python.org/pypi/fuefit
:Copyright: 2014 European Commission (`JRC-IET <http://iet.jrc.ec.europa.eu/>`_)
:License: `EUPL 1.1+ <https://joinup.ec.europa.eu/software/page/eupl>`_

The *fuefit* is a python package that calculates fitted fuel-maps from measured engine data-points based on parameters with physical meaning.


.. _before-intro:

Introduction
============

Overview
--------
The *Fuefit* calculator accepts engine data-points for as Input,
(RPM, Power and Fuel-Consumption or equivalent quantities such as CM, PME/Torque and PMF)
and spits-out fitted fuel-maps according to the following formula [#]_:

.. math::

(a + b*cm + c*cm**2)*pmf + (a2 + b2*cm)*pmf**2 + loss0 + loss2*cm**2


An "execution" or a "run" of a calculation along with the most important pieces of data
are depicted in the following diagram::


.-------------------. .--------------------------.
/ Input-Model / ____________ / Output-Model /
/-------------------/ | | /--------------------------/
/ +--engine / ==> | Calculator | ==> / +--engine /
/ +--engine_points / |____________| / | +--fc_map_params /
/ +--params / / +--engine_map /
/ / / +--fitted_eng_points /
'-------------------' '--------------------------'

The *Input & Output Model* are trees of strings and numbers, assembled with:

* sequences,
* dictionaries,
* class(``pandas.DataFrame``),
* class(``pandas.Series``), and
* URI-references to other model-trees (TODO).


Quick-start
-----------
Assuming a working python-environment, open a *command-shell* (ie in *Windows* use program(``cmd.exe``) BUT
with program(``python.exe``) in its envvar(``PATH``)) and try the following commands

:Install: ``$ pip install fuefit --pre``
:Cmd-line:
.. code-block:: console

$ fuefit --version
0.0.3-beta.2

$ fuefit --help
...

## Change-directory into the `fuefit/test/` folder in the *sources*.
$ fuefit -I FuelFit_real.csv header+=0 \
--irenames n_norm _ fc_norm \
-I engine.csv file_frmt=SERIES model_path=/engine header@=None \
--irenames \
-m /engine/fuel=petrol \
-O - model_path=/engine/fc_map_params \
-m /params/plot_maps@=True

:Start-menu: ``$ fuefit --winmenus ## Windows only``
:Excel: ``$ fuefit --excelrun ## Windows & OS X only``
:Python-code:
.. code-block:: python

import pandas as pd
from fuefit import model, processor

input_model = mdl = model.base_model()
input_model.update({...}) ## See "Python Usage" below.
input_model['engine_points'] = pd.read_csv('measured.csv') ## Can also read Excel, matlab, ...
mdl = model.validate_model(mdl, additional_props)

output_model = processor.run(input_model)

print(model.resolve_jsonpointer(output_model, '/engine/fc_map_params'))
print(output_model['fitted_eng_points'])

.. Tip::
The commands beginning with ``$``, above, imply a *Unix* like operating system with a *POSIX* shell
(*Linux*, *OS X*). Although the commands are simple and easy to translate , it would be worthwile to install
`Cygwin <https://www.cygwin.com/>`_ to get the same environment on *Windows*.
If you choose to do that, include also the following packages in the *Cygwin*'s installation wizard::

* git, git-completion
* make, zip, unzip, bzip2
* openssh, curl, wget

.. Tip::
To install *python*, you can try the free (as in beer) distribution
`Anaconda <http://docs.continuum.io/anaconda/pkg-docs.html>`_ for *Windows* and *OS X*, or
the totally free `WinPython <http://winpython.sourceforge.net/>`_ distribution, but only for *Windows*:

* For *Anaconda* you may need to install project's dependencies manually (see file(``setup.py``))
using command(``conda``).
* The most recent version of *WinPython* (python-3.4) although it has just
`changed maintainer <http://sourceforge.net/projects/stonebig.u/files/>`_,
it remains a higly active project, and it can even compile native libraries using an installations of
*Visual Studio*, if available
(required for instance when upgrading ``numpy/scipy``, ``pandas`` or ``matplotlib`` with command(``pip``)).

You must also **Register your WinPython installation** and
**add your installation into** envvar(``PATH``) (see doc(``faq``)).
To register it, go to ``Start menu --> All Programs --> WinPython --> WinPython ControlPanel``, and then
``Options --> Register Distribution`` .


.. _before-install:

Install
=======
Current x.x.x runs on Python-3.3+ and is distributed on `Wheels <https://pypi.python.org/pypi/wheel>`_.

You can install (or upgrade) the project from the `PyPi` repo using the "standard" way with command(``pip``).

.. code-block:: console

$ pip install fuefit ## Use `pip3` if both python-2 & 3 in PATH.


Check that installation has worked:

.. code-block:: console

$ fuefit --version
0.0.3-beta.2


.. Tip:
To debug the installation, you can export a non-empty envvar(``DISTUTILS_DEBUG``)
and *distutils* will print detailed information about what it is doing and/or
print the whole command line when an external program (like a C compiler) fails.


You may upgrade all dependencies to their latest version with option(``--upgrade``) (or option(``-U``) equivalently)
but then the build might take some considerable time to finish.

To install it for different Python versions, repeat step 3 for every required version.

Particularly for the latest *WinPython* environments (*Windows* / *OS X*) you can install dependencies with:

.. code-block:: console

$ pip install -r WinPython_requirements.txt -U .


The previous command install dependencies in the system's folders.
If you want to avoid that (because, for instance, you do not have *admin-rights*), but
you do not want to use a `virtualenv <http://docs.python-guide.org/en/latest/dev/virtualenvs/>`_,
you can install dependencies inside the project-folder with this command:

.. code-block:: console

$ python setup.py install ## Use `python3` if you have installed both python-2 & 3.


The previous command install just the latest version of the project.
If you wish to link the project's sources with your python environment, install the project
in `development mode <http://pythonhosted.org/setuptools/setuptools.html#development-mode>`_:

.. code-block:: console

$ python setup.py develop



.. _before-usage:

Usage
=====
Excel usage
-----------
.. Attention:: Excel-integration requires Python 3 and *Windows* or *OS X*!

In *Windows* and *OS X* you may utilize the excellent `xlwings <http://xlwings.org/quickstart/>`_ library
to use Excel files for providing input and output to the processor.

To create the necessary template-files in your current-directory you should enter:

.. code-block:: console

$ fuefit --excel


You could type instead ``fuefit --excel {file_path}`` to specify a different destination path.

In *windows*/*OS X* you can type ``fuefit --excelrun`` and the files will be created in your home-directory
and the excel will open them in one-shot.

All the above commands creates two files:

file(``fuefit_excel_runner.xlsm``)
The python-enabled excel-file where input and output data are written, as seen in the screenshot below:

.. image:: docs/xlwings_screenshot.png
:scale: 50%
:alt: Screenshot of the `fuefit_excel_runner.xlsm` file.

After opening it the first tie, enable the macros on the workbook, select the python-code at the left and click
the ``Run Selection as Pyhon`` button; one sheet per vehicle should be created.

The excel-file contains additionally appropriate *VBA* modules allowing you to invoke *Python code*
present in *selected cells* with a click of a button, and python-functions declared in the python-script, below,
using the `mypy` namespace.

To add more input-columns, you need to set as column *Headers* the *json-pointers* path of the desired
model item (see `Python usage`_ below,).

file(``fuefit_excel_runner{#}.py``)
Python functions used by the above xls-file for running a batch of experiments.

The particular functions included reads multiple vehicles from the input table with various
vehicle characteristics and/or experiment parameters, and then it adds a new worksheet containing
the cycle-run of each vehicle .
Of course you can edit it to further fit your needs.


.. Note:: You may reverse the procedure described above and run the python-script instead:

.. code-block:: console

$ python fuefit_excel_runner.py

The script will open the excel-file, run the experiments and add the new sheets, but in case any errors occur,
this time you can debug them, if you had executed the script through `LiClipse <http://www.liclipse.com/>`__,
or *IPython*!


Some general notes regarding the python-code in excel-cells:

* The *VBA* `xlwings` module contains the code from the respective library; do not edit, but you may replace it
with a latest version.
* You can read & modify the *VBA* `xlwings_ext` module with code that will run on each invocation
to import libraries such as 'numpy' and 'pandas', or pre-define utility python functions.
* The name of the python-module to import is automatically calculated from the name of the Excel-file,
and it must be valid as a python module-name. Therefore do not use non-alphanumeric characters such as
spaces(` `), dashes(`-`) and dots(`.`) on the Excel-file.
* Double-quotes(") do not work for denoting python-strings in the cells; use single-quotes(') instead.
* You cannot enter multiline or indentated python-code such as functions and/or ```if-then-else`` expressions;
move such code into the python-file.
* There are two pre-defined python variables on each cell, `cr` and `cc`, refering to "cell_row" and
"cell_column" coordinates of the cell, respectively. For instance, to use the right-side column as
a poor-man's debugging aid, you may use this statement in a cell:

.. code-block:: python

Range((cr, cc+1)).value = 'Some string or number'

* On errors, the log-file is written in file(``{userdir}/AppData/Roaming/Microsoft/Excel/XLSTART/xlwings_log.txt``)
for as long as **the message-box is visible, and it is deleted automatically after you click 'ok'!**
* Read http://docs.xlwings.org/quickstart.html


.. Tip::
You can permanently enable your Excel installation to support *xlwings* by copying
the *VBA* modules of the demo-excel file ``xlwings`` and ``xlwings-ext`` into
your file(``PERSONAL.XLSB``) workbook, as explaine here:
http://office.microsoft.com/en-001/excel-help/copy-your-macros-to-a-personal-macro-workbook-HA102174076.aspx.

You can even `add a new Ribbon-button <http://msdn.microsoft.com/en-us/library/bb386104.aspx>`_
to execute the selected cells as python-code. Set this new button to invoke the ``RunSelectionAsPython()``
*VBA* function.

If you do the above, remember that *VBA*-code in your personal-workbook takes precedance over any code
present in your currently open workbook.


Cmd-line usage
--------------

fuefit -v\
-I fuefit/test/FuelFit.xlsx sheetname+=0 header@=None names:='["p","rpm","fc"]' \
-I fuefit/test/engine.csv file_frmt=SERIES model_path=/engine header@=None \
-m /engine/fuel=petrol \
-O ~t1.csv model_path=/engine_points index?=false \
-O ~t2.csv model_path=/engine_map index?=false \
-O ~t.csv model_path= -m /params/plot_maps@=True


Python usage
------------
Example code:

.. code-block:: pycon

>> from fuefit import model, processor

>> input_model = model.base_model()
>> input_model.update({
"engine": {
"fuel": "diesel",
"p_max": 95,
"n_idle": 850,
"n_rated": 6500,
"stroke": 94.2,
"capacity": 2000,
"bore": null,
"cylinders": null,
}
})

>> model.validate_model(input_model)

>> output_model = processor.run(input_model)

>> print(output_model['engine'])
>> print(output_model['fitted_eng_maps'])


For information on the model-data, check the schema:

.. code-block:: pycon

>> print(fuefit.model.model_schema())


You can always check the Test-cases and the mod(``fuefit.cmdline``) for sample code.
You explore documentation in Html by serving it with a web-server:



.. _before-contribute:

Contribute
==========
[TBD]

Development team
----------------

* Author:
* Kostis Anagnostopoulos
* Contributing Authors:
* Giorgos Fontaras for the physics, policy and admin support.




.. _before-indices:

Footnotes
=========

.. _before-footer:

.. [#] Bastiaan Zuurendonk, Maarten Steinbuch(2005):
"Advanced Fuel Consumption and Emission Modeling using Willans line scaling techniques for engines",
*Technische Universiteit Eindhoven*, 2005,
Department Mechanical Engineering, Dynamics and Control Technology Group,
http://alexandria.tue.nl/repository/books/612441.pdf

.. |docs-status| image:: https://readthedocs.org/projects/fuefit/badge/
:alt: Documentation status
:scale: 100%
:target: https://readthedocs.org/builds/fuefit/

.. |pypi-status| image:: https://pypip.in/v/fuefit/badge.png
:target: https://pypi.python.org/pypi/fuefit/
:alt: Latest Version in PyPI

.. |python-ver| image:: https://pypip.in/py_versions/fuefit/badge.svg
:target: https://pypi.python.org/pypi/fuefit/
:alt: Supported Python versions

.. |dev-status| image:: https://pypip.in/status/fuefit/badge.svg
:target: https://pypi.python.org/pypi/fuefit/
:alt: Development Status

.. |downloads-count| image:: https://pypip.in/download/fuefit/badge.svg?period=week
:target: https://pypi.python.org/pypi/fuefit/
:alt: Downloads

.. |github-issues| image:: http://img.shields.io/github/issues/ankostis/fuefit.svg
:target: https://github.com/ankostis/fuefit/issues
:alt: Issues count