# Path: pyfusion/conf/utils.py
# def import_from_str(string_value):
#     # TODO: make shortcuts for loading from within pyfusion
#     split_val = string_value.split('.')
#     val_module = __import__('.'.join(split_val[:-1]),
#                             globals(), locals(),
#                             [split_val[-1]])
#     return val_module.__dict__[split_val[-1]]
# 
# def get_config_as_dict(component_type, component_name):
#     config_option_list = pyfusion.config.pf_options(component_type, component_name)
#     config_map = lambda x: (x, pyfusion.config.pf_get(component_type, component_name, x))
#     return dict(map(config_map, config_option_list))
# 
# Path: pyfusion/data/filters.py
# def cps(a,b):
# def register(*class_names):
#     def reg_item(filter_method):
# def reduce_time(input_data, new_time_range):
# def segment(input_data, n_samples, overlap=1.0, datalist= 0):
# def remove_noncontiguous(input_dataset):
# def normalise(input_data, method='peak', separate=False):
# def svd(input_data):
# def fs_group_geometric(input_data, max_energy = 1.0):
# def fs_group_threshold(input_data, threshold=0.2):
# def flucstruc(input_data, min_dphase = -pi, group=fs_group_geometric, method='rms', separate=True, label=None):
# def subtract_mean(input_data):
# def sp_filter_butterworth_bandpass(input_data, passband, stopband, max_passband_loss, min_stopband_attenuation):
# def correlate(input_data, index_1, index_2, **kwargs):
# def change_time_base(input_data, new_time_base):
# 
# Path: pyfusion/data/plots.py
# def register(*class_names):
#     def reg_item(plot_method):
# def plot_signals(input_data, filename=None,downsamplefactor=1,n_columns=1):
# def plot_spectrogram(input_data, windowfn=None, channel_number=0, filename=None, coloraxis=None, noverlap=0,NFFT=None, **kwargs):
# def join_ends(inarray,add_2pi = False,add_360deg=False,add_lenarray=False,add_one=False):
# def posNegFill(x,y1,y2):
#     def __init__(self,energy_list,initial_list):
#     def add(self,elmt):
#     def sub(self,elmt):
# def findZero(i,x,y1,y2):
# def fsplot_phase(input_data, closed=True, hold=0):
# def svdplot(input_data, fmax=None, hold=0):
#     def button_action(label):
#             NFFT=(eval(pyfusion.config.get('Plots','NFFT')))
#             NFFT = 2048
# class Energy:
# 
# Path: pyfusion/data/utils.py
# def unique_id():
#     try:
#         return str(uuid.uuid4())
#     except:
#         return ''.join(_random.choice(string.letters) for i in range(50))
# 
# Path: pyfusion/orm/utils.py
# def orm_register():
#     def reg_item(orm_func):
#         pyfusion.orm_manager.add_reg_func(orm_func)
#         return orm_func
#     return reg_item


import operator
import uuid
import copy
import pyfusion
from datetime import datetime
from pyfusion.conf.utils import import_from_str, get_config_as_dict
from pyfusion.data.filters import filter_reg
from pyfusion.data.plots import plot_reg
from pyfusion.data.utils import unique_id
from pyfusion.orm.utils import orm_register
    from sqlalchemy import Table, Column, String, Integer, Float, ForeignKey, \
         DateTime, PickleType
    from sqlalchemy.orm import reconstructor, mapper, relation, dynamic_loader
    from sqlalchemy.orm.collections import column_mapped_collection
            transform_class = import_from_str(transform_class_str)
            coords_instance.load_transform(transform_class)

    return coords_instance

class Channel(object):
    def __init__(self, name, coords):
        self.name = name
        self.coords = coords

    def save(self):
        if pyfusion.orm_manager.IS_ACTIVE:
            # this may be inefficient: get it working, then get it fast
            self.coords.save()
            session = pyfusion.orm_manager.Session()
            session.add(self)
            session.commit()
            session.close()

@orm_register()
def orm_load_channel(man):
    man.channel_table = Table('channel', man.metadata,
                            Column('id', Integer, primary_key=True),
                            Column('name', String(200), nullable=False),
                            Column('coords_id', Integer, ForeignKey('coords.id'), nullable=False))
    #man.metadata.create_all()
    mapper(Channel, man.channel_table, properties={'coords': relation(Coords)})


    

# Path: pyfusion/conf/utils.py
# def import_from_str(string_value):
#     # TODO: make shortcuts for loading from within pyfusion
#     split_val = string_value.split('.')
#     val_module = __import__('.'.join(split_val[:-1]),
#                             globals(), locals(),
#                             [split_val[-1]])
#     return val_module.__dict__[split_val[-1]]
# 
# def get_config_as_dict(component_type, component_name):
#     config_option_list = pyfusion.config.pf_options(component_type, component_name)
#     config_map = lambda x: (x, pyfusion.config.pf_get(component_type, component_name, x))
#     return dict(map(config_map, config_option_list))
# 
# Path: pyfusion/data/filters.py
# def cps(a,b):
# def register(*class_names):
#     def reg_item(filter_method):
# def reduce_time(input_data, new_time_range):
# def segment(input_data, n_samples, overlap=1.0, datalist= 0):
# def remove_noncontiguous(input_dataset):
# def normalise(input_data, method='peak', separate=False):
# def svd(input_data):
# def fs_group_geometric(input_data, max_energy = 1.0):
# def fs_group_threshold(input_data, threshold=0.2):
# def flucstruc(input_data, min_dphase = -pi, group=fs_group_geometric, method='rms', separate=True, label=None):
# def subtract_mean(input_data):
# def sp_filter_butterworth_bandpass(input_data, passband, stopband, max_passband_loss, min_stopband_attenuation):
# def correlate(input_data, index_1, index_2, **kwargs):
# def change_time_base(input_data, new_time_base):
# 
# Path: pyfusion/data/plots.py
# def register(*class_names):
#     def reg_item(plot_method):
# def plot_signals(input_data, filename=None,downsamplefactor=1,n_columns=1):
# def plot_spectrogram(input_data, windowfn=None, channel_number=0, filename=None, coloraxis=None, noverlap=0,NFFT=None, **kwargs):
# def join_ends(inarray,add_2pi = False,add_360deg=False,add_lenarray=False,add_one=False):
# def posNegFill(x,y1,y2):
#     def __init__(self,energy_list,initial_list):
#     def add(self,elmt):
#     def sub(self,elmt):
# def findZero(i,x,y1,y2):
# def fsplot_phase(input_data, closed=True, hold=0):
# def svdplot(input_data, fmax=None, hold=0):
#     def button_action(label):
#             NFFT=(eval(pyfusion.config.get('Plots','NFFT')))
#             NFFT = 2048
# class Energy:
# 
# Path: pyfusion/data/utils.py
# def unique_id():
#     try:
#         return str(uuid.uuid4())
#     except:
#         return ''.join(_random.choice(string.letters) for i in range(50))
# 
# Path: pyfusion/orm/utils.py
# def orm_register():
#     def reg_item(orm_func):
#         pyfusion.orm_manager.add_reg_func(orm_func)
#         return orm_func
#     return reg_item


# Path: pyfusion/data/base.py
import operator
import uuid
import copy
import pyfusion
from datetime import datetime
from pyfusion.conf.utils import import_from_str, get_config_as_dict
from pyfusion.data.filters import filter_reg
from pyfusion.data.plots import plot_reg
from pyfusion.data.utils import unique_id
from pyfusion.orm.utils import orm_register
    from sqlalchemy import Table, Column, String, Integer, Float, ForeignKey, \
         DateTime, PickleType
    from sqlalchemy.orm import reconstructor, mapper, relation, dynamic_loader
    from sqlalchemy.orm.collections import column_mapped_collection

            transform_class = import_from_str(transform_class_str)
            coords_instance.load_transform(transform_class)

    return coords_instance

class Channel(object):
    def __init__(self, name, coords):
        self.name = name
        self.coords = coords

    def save(self):
        if pyfusion.orm_manager.IS_ACTIVE:
            # this may be inefficient: get it working, then get it fast
            self.coords.save()
            session = pyfusion.orm_manager.Session()
            session.add(self)
            session.commit()
            session.close()

@orm_register()
def orm_load_channel(man):
    man.channel_table = Table('channel', man.metadata,
                            Column('id', Integer, primary_key=True),
                            Column('name', String(200), nullable=False),
                            Column('coords_id', Integer, ForeignKey('coords.id'), nullable=False))
    #man.metadata.create_all()
    mapper(Channel, man.channel_table, properties={'coords': relation(Coords)})


    

@orm_register()