# -*- coding: utf-8 -*-
#
# Copyright (C) 2008-2025 EDF R&D
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
#
# See http://www.salome-platform.org/
#
# Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
__doc__ = """
=====================================================
ADAO: A module for Data Assimilation and Optimization
=====================================================

About ADAO: A module for Data Assimilation and Optimization
-----------------------------------------------------------

**The ADAO module provides data assimilation and optimization** features in
Python or SALOME context (see http://www.salome-platform.org/). Briefly stated,
Data Assimilation is a methodological framework to compute the optimal estimate
of the inaccessible true value of a system state, eventually over time. It uses
information coming from experimental measurements or observations, and from
numerical *a priori* models, including information about their errors. Parts of
the framework are also known under the names of *calibration*, *adjustment*,
*state estimation*, *parameter estimation*, *parameter adjustment*, *inverse
problems*, *Bayesian estimation*, *optimal interpolation*, *mathematical
regularization*, *meta-heuristics for optimization*, *model reduction*, *data
smoothing*, etc. More details can be found in the full ADAO documentation (see
https://www.salome-platform.org/ User Documentation dedicated section).

Only the use of ADAO text programming interface (API/TUI) is introduced
here. This interface gives ability to create a calculation object in a
similar way than the case building obtained through the graphical
interface (GUI). When one wants to elaborate directly the TUI
calculation case, it is recommended to extensively use all the ADAO
module documentation, and to go back if necessary to the graphical
interface (GUI), to get all the elements allowing to correctly set the
commands.

A simple setup example of an ADAO TUI calculation case
------------------------------------------------------

To introduce the TUI interface, lets begin by a simple but complete
example of ADAO calculation case. All the data are explicitly defined
inside the script in order to make the reading easier. The whole set of
commands is the following one::

    from numpy import array, matrix
    from adao import adaoBuilder
    case = adaoBuilder.New()
    case.set( 'AlgorithmParameters', Algorithm = '3DVAR' )
    case.set( 'Background',          Vector = [0, 1, 2] )
    case.set( 'BackgroundError',     ScalarSparseMatrix = 1.0 )
    case.set( 'Observation',         Vector = array([0.5, 1.5, 2.5]) )
    case.set( 'ObservationError',    DiagonalSparseMatrix = '1 1 1' )
    case.set( 'ObservationOperator', Matrix = '1 0 0;0 2 0;0 0 3' )
    case.set( 'Observer',            Variable = "Analysis", Template = "ValuePrinter" )
    case.execute()

The result of running these commands in SALOME (either as a SALOME
"*shell*" command, in the Python command window of the interface, or by
the script execution entry of the menu) is the following::

    Analysis [ 0.25000264  0.79999797  0.94999939]

More advanced examples of ADAO TUI calculation case
---------------------------------------------------

Real cases involve observations loaded from files, operators explicitly
defined as generic functions including physical simulators, time dependant
information in order to deal with forecast analysis in addition to calibration
or re-analysis. More details can be found in the full ADAO documentation (see
documentation on the reference site https://www.salome-platform.org/, with
https://docs.salome-platform.org/latest/gui/ADAO/en/index.html for english or
https://docs.salome-platform.org/latest/gui/ADAO/fr/index.html for french, both
being equivalents).

License and requirements
------------------------

The license for this module is the GNU Lesser General Public License
(Lesser GPL), as stated here and in the source files::

    <ADAO, a module for Data Assimilation and Optimization>

    Copyright (C) 2008-2025 EDF R&D

    This library is free software; you can redistribute it and/or
    modify it under the terms of the GNU Lesser General Public
    License as published by the Free Software Foundation; either
    version 2.1 of the License, or (at your option) any later version.

    This library is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
    Lesser General Public License for more details.

    You should have received a copy of the GNU Lesser General Public
    License along with this library; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA

    See http://www.salome-platform.org/

In addition, it is requested that any publication or presentation, describing
work using this module, or any commercial or non-commercial product using it,
cite at least one of the references below with the current year added:

    * *ADAO, a module for Data Assimilation and Optimization*,
      http://www.salome-platform.org/

    * *ADAO, un module pour l'Assimilation de Données et l'Aide à
      l'Optimisation*, http://www.salome-platform.org/

    * *SALOME The Open Source Integration Platform for Numerical Simulation*,
      http://www.salome-platform.org/

The documentation of the module is also covered by the license and the
requirement of quoting.
"""
__author__ = "Jean-Philippe ARGAUD"
__all__ = ["adaoBuilder"]

import os, sys, logging
adao_py_dir = os.path.abspath(os.path.dirname(__file__)) # Variable témoin
sys.path.insert(0, adao_py_dir)

from daCore.version import name, version, year, date, __version__
try:
    from daCore import Persistence # PathManagement activé dans Persistence
except:
    logging.debug("INIT Pas de chargement initial de Persistence")
try:
    from daYacsIntegration.daOptimizerLoop import *
except:
    logging.debug("INIT Pas de chargement initial de daOptimizerLoop")
