# Path: Bunch.py
# class Bunch(object):
#     @staticmethod
#     def from_namespace(namespace):
#         b = Bunch()
#         for attr, value in namespace.__dict__.iteritems():
#             b.__dict__[attr] = value
#         return b
# 
#     def __init__(self, **kwds):
#         self.__dict__.update(kwds)
# 
#     def values(self, d, basename):
#         # return list of values basename.key = value
#         result = []
#         for k in sorted(d):
#             v = d[k]
#             if isinstance(v, Bunch):
#                 vs = self.values(v.__dict__, k)
#                 for v in vs:
#                     result.append(v)
#             elif isinstance(v, argparse.Namespace):
#                 for k2, v2 in v.__dict__.items():
#                     result.append('%s.%s = %s' % (str(k), str(k2), str(v2)))
#             elif basename == '':
#                 result.append('%s = %s' % (k, v))
#             else:
#                 result.append('%s.%s = %s' % (basename, k, v))
#         return result
# 
#     def __str__(self, base_name=''):
#         values = self.values(self.__dict__, '')
#         s = ''
#         for value in values:
#             s += '%s' % value
#             if len(values) > 1:
#                 s += '\n'
#         return s
# 
#     def __repr__(self):
#         s = 'Bunch('
#         first = True
#         for k, v in self.__dict__.iteritems():
#             if first:
#                 first = False
#             else:
#                 s += ', '
#             s += '%s=%s' % (k, v)
#         s += ')'
#         return s
# 
# Path: directory.py
# def directory(name):
#     '''Return path to specified directory in file system.
# 
#     Parameters
#     ----------
#     name : string
#       name of the directory, one of cells, input, log, working
# 
#     Returns
#     -------
#     string: path to the named directory, ending with a "/"
#     '''
# 
#     root = '../'  # root of this project
#     if name == 'cells' or name == 'cv-cell' or name == 'cv-cell-natural':
#         return root + 'data/working/cv-cell/'
#     elif name == 'cv-cell-rescaled':
#         return root + 'data/working/cv-cell-rescaled/'
#     elif name == 'log':
#         return root + 'data/working/log/'
#     elif name == 'working':
#         return root + 'data/working/'
#     elif name == 'src':
#         return root + 'src/'
#     else:
#         raise ValueError(name)
# 
# Path: Logger.py
# class Logger(object):
#     # from stack overflow: how do i duplicat sys stdout to a log file in python
# 
#     def __init__(self, logfile, logfile_path=None, logfile_mode='w', base_name=None, add_time_stamp=False):
#         if logfile_path is not None:
#             raise RuntimeError('logfile_path is deprecated; use positional arg')
#         if base_name is not None:
#             raise RuntimeError('base_name is deprecated; use positional arg')
#         if add_time_stamp:
#             parts = logfile.split('.')
#             timestamp =  datetime.datetime.now().isoformat('T')
#             path = '.'.join(parts[:-1]) + '-' + timestamp + '.' + parts[-1]
#         else:
#             path = logfile
#         self.terminal = sys.stdout
#         self.log = open(path, logfile_mode)
# 
#     def write(self, message):
#         self.terminal.write(message)
#         self.log.write(message)
# 
#     def flush(self):
#         self.terminal.flush()
#         pass


import collections
import cPickle as pickle
import datetime
import numpy as np
import os
import pandas as pd
import pdb
import sys
import warnings
import parse_command_line
from pprint import pprint
from sklearn import cross_validation
from sklearn import linear_model
from sklearn import ensemble
from Bunch import Bunch
from DataframeAppender import DataframeAppender
from directory import directory
from Logger import Logger
    control = make_control(argv)

    sys.stdout = Logger(logfile_path=control.path_log)  # print also write to log file
    print control

    # read input
    if control.use_old_input:
        f = open(control.path_in_old, 'rb')
        df_loaded = pickle.load(f)
        f.close()
    else:
        df_loaded = pd.read_csv(control.path_in, engine='c')

    df_loaded_copy = df_loaded.copy(deep=True)  # make sure df_loaded isn't changed

    results_cv, results_next = fit_and_test_models(df_loaded, control)
    assert(df_loaded.equals(df_loaded_copy))

    # write results
    def file_name(key):
        'model-foldNumber-trainingDays'
        assert len(key) == 2, key
        s = '%s-%s-%s' % (control.arg.model, key[0], key[1])
        return s

    def write(dir_prefix, results):
        for k, v in results.iteritems():
            directory = control.dir_out + dir_prefix
            if not os.path.exists(directory):
                os.makedirs(directory)

# Path: Bunch.py
# class Bunch(object):
#     @staticmethod
#     def from_namespace(namespace):
#         b = Bunch()
#         for attr, value in namespace.__dict__.iteritems():
#             b.__dict__[attr] = value
#         return b
# 
#     def __init__(self, **kwds):
#         self.__dict__.update(kwds)
# 
#     def values(self, d, basename):
#         # return list of values basename.key = value
#         result = []
#         for k in sorted(d):
#             v = d[k]
#             if isinstance(v, Bunch):
#                 vs = self.values(v.__dict__, k)
#                 for v in vs:
#                     result.append(v)
#             elif isinstance(v, argparse.Namespace):
#                 for k2, v2 in v.__dict__.items():
#                     result.append('%s.%s = %s' % (str(k), str(k2), str(v2)))
#             elif basename == '':
#                 result.append('%s = %s' % (k, v))
#             else:
#                 result.append('%s.%s = %s' % (basename, k, v))
#         return result
# 
#     def __str__(self, base_name=''):
#         values = self.values(self.__dict__, '')
#         s = ''
#         for value in values:
#             s += '%s' % value
#             if len(values) > 1:
#                 s += '\n'
#         return s
# 
#     def __repr__(self):
#         s = 'Bunch('
#         first = True
#         for k, v in self.__dict__.iteritems():
#             if first:
#                 first = False
#             else:
#                 s += ', '
#             s += '%s=%s' % (k, v)
#         s += ')'
#         return s
# 
# Path: directory.py
# def directory(name):
#     '''Return path to specified directory in file system.
# 
#     Parameters
#     ----------
#     name : string
#       name of the directory, one of cells, input, log, working
# 
#     Returns
#     -------
#     string: path to the named directory, ending with a "/"
#     '''
# 
#     root = '../'  # root of this project
#     if name == 'cells' or name == 'cv-cell' or name == 'cv-cell-natural':
#         return root + 'data/working/cv-cell/'
#     elif name == 'cv-cell-rescaled':
#         return root + 'data/working/cv-cell-rescaled/'
#     elif name == 'log':
#         return root + 'data/working/log/'
#     elif name == 'working':
#         return root + 'data/working/'
#     elif name == 'src':
#         return root + 'src/'
#     else:
#         raise ValueError(name)
# 
# Path: Logger.py
# class Logger(object):
#     # from stack overflow: how do i duplicat sys stdout to a log file in python
# 
#     def __init__(self, logfile, logfile_path=None, logfile_mode='w', base_name=None, add_time_stamp=False):
#         if logfile_path is not None:
#             raise RuntimeError('logfile_path is deprecated; use positional arg')
#         if base_name is not None:
#             raise RuntimeError('base_name is deprecated; use positional arg')
#         if add_time_stamp:
#             parts = logfile.split('.')
#             timestamp =  datetime.datetime.now().isoformat('T')
#             path = '.'.join(parts[:-1]) + '-' + timestamp + '.' + parts[-1]
#         else:
#             path = logfile
#         self.terminal = sys.stdout
#         self.log = open(path, logfile_mode)
# 
#     def write(self, message):
#         self.terminal.write(message)
#         self.log.write(message)
# 
#     def flush(self):
#         self.terminal.flush()
#         pass


# Path: ege_week.py
import collections
import cPickle as pickle
import datetime
import numpy as np
import os
import pandas as pd
import pdb
import sys
import warnings
import parse_command_line
from pprint import pprint
from sklearn import cross_validation
from sklearn import linear_model
from sklearn import ensemble
from Bunch import Bunch
from DataframeAppender import DataframeAppender
from directory import directory
from Logger import Logger

    control = make_control(argv)

    sys.stdout = Logger(logfile_path=control.path_log)  # print also write to log file
    print control

    # read input
    if control.use_old_input:
        f = open(control.path_in_old, 'rb')
        df_loaded = pickle.load(f)
        f.close()
    else:
        df_loaded = pd.read_csv(control.path_in, engine='c')

    df_loaded_copy = df_loaded.copy(deep=True)  # make sure df_loaded isn't changed

    results_cv, results_next = fit_and_test_models(df_loaded, control)
    assert(df_loaded.equals(df_loaded_copy))

    # write results
    def file_name(key):
        'model-foldNumber-trainingDays'
        assert len(key) == 2, key
        s = '%s-%s-%s' % (control.arg.model, key[0], key[1])
        return s

    def write(dir_prefix, results):
        for k, v in results.iteritems():
            directory = control.dir_out + dir_prefix
            if not os.path.exists(directory):
                os.makedirs(directory)

            f = open(directory + file_name(k), 'wb')