################################################################################
#This software was developed by the University of Tennessee as part of the
#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
#project funded by the US National Science Foundation. 
#
#See the license text in license.txt
#
#copyright 2010, University of Tennessee
################################################################################
"""
This module manages all data loaded into the application. Data_manager makes 
available all data loaded  for the current perspective. 

All modules "creating Data" posts their data to data_manager . 
Data_manager  make these new data available for all other perspectives.
"""
import logging
import os
import copy 

from sans.guiframe.data_state import DataState
from sans.guiframe.utils import parse_name
import sans.dataloader.data_info as DataInfo
from sans.guiframe.dataFitting import Data1D
from sans.guiframe.dataFitting import Data2D
import time

class DataManager(object):
    """
    Manage a list of data
    """
    def __init__(self):
        """
        Store opened path and data object created at the loading time
        :param auto_plot: if True the datamanager sends data to plotting 
                            plugin. 
        :param auto_set_data: if True the datamanager sends to the current
        perspective
        """
        self.stored_data = {}
        self.message = ""
        self.data_name_dict = {}
        self.count = 0
        self.list_of_id = []
        self.time_stamp = time.time()
      
    def __str__(self):
        _str  = ""
        _str += "No of states  is %s \n" % str(len(self.stored_data))
        n_count = 0
        for  value in self.stored_data.values():
            n_count += 1 
            _str += "State No %s \n"  % str(n_count)
            _str += str(value) + "\n"
        return _str
        
    def create_gui_data(self, data, path=None):
        """
        Receive data from loader and create a data to use for guiframe
        """
        
        if issubclass(Data2D, data.__class__):
            new_plot = Data2D(image=None, err_image=None) 
        else: 
            new_plot = Data1D(x=[], y=[], dx=None, dy=None)
           
        new_plot.copy_from_datainfo(data) 
        data.clone_without_data(clone=new_plot)  
        #creating a name for data
        name = ""
        title = ""
        file_name = ""
        if path is not None:
            file_name = os.path.basename(path)
        if file_name == "":
            file_name = data.filename
        if data.run:
            run_num = data.run[0]
        name = file_name
        if name == "":
            name = run_num
        name = self.rename(name)
        #find title
        if data.title.strip():
            title = data.title
        if title.strip() == "":
            title = file_name
        
        if new_plot.filename.strip() == "":
            new_plot.filename = file_name
        
        new_plot.name = name
        new_plot.title = title
        ## allow to highlight data when plotted
        new_plot.interactive = True
        ## when 2 data have the same id override the 1 st plotted
        self.time_stamp += 1
        new_plot.id = str(name) + str(self.time_stamp)
        ##group_id specify on which panel to plot this data
        new_plot.group_id = str(name) + str(self.time_stamp)
        new_plot.is_data = True
        new_plot.path = path
        new_plot.list_group_id = []
        ##post data to plot
        # plot data
        return new_plot
 
    def rename(self, name):
        """
        rename data
        """
        ## name of the data allow to differentiate data when plotted
        name = parse_name(name=name, expression="_")
        
        max_char = name.find("[")
        if max_char < 0:
            max_char = len(name)
        name = name[0:max_char]
        
        if name not in self.data_name_dict:
            self.data_name_dict[name] = 0
        else:
            self.data_name_dict[name] += 1
            name = name + " [" + str(self.data_name_dict[name]) + "]"
        return name
    
  
    def add_data(self, data_list):
        """
        receive a list of 
        """
        for id, data in data_list.iteritems():
            if id  in self.stored_data:
                msg = "Data manager already stores %s" % str(data.name)
                msg += ""
                logging.info(msg)
                data_state = self.stored_data[id]
                data_state.data = data
            else:
                data_state = DataState(data)
                data_state.id = id
                self.stored_data[id] = data_state
    
    def update_data(self, prev_data, new_data):
        """
        """
        if prev_data.id not in self.stored_data.keys():
            return None, {}
        data_state = self.stored_data[prev_data.id] 
        self.stored_data[new_data.id]  = data_state.clone()
        self.stored_data[new_data.id].data = new_data
        if prev_data.id in self.stored_data.keys():
            del self.stored_data[prev_data.id] 
        return prev_data.id, {new_data.id: self.stored_data[new_data.id]}
    
    def update_theory(self, theory, data_id=None, state=None):
        """
        """
        uid = data_id
        if data_id is None and theory is not None:
            uid = theory.id
        if uid in self.stored_data.keys():
             data_state = self.stored_data[uid] 
        else:
            data_state = DataState()
        data_state.uid = uid
        data_state.set_theory(theory_data=theory, theory_state=state)
        self.stored_data[uid] = data_state
        return {uid: self.stored_data[uid]}
       
    
    def get_message(self):
        """
        return message
        """
        return self.message
    
    def get_by_id(self, id_list=None):
        """
        """
        _selected_data = {}
        _selected_theory_list = {}
        if id_list is None:
            return
        for d_id in self.stored_data:
            for search_id in id_list:
                data_state = self.stored_data[d_id]
                data = data_state.data
                theory_list = data_state.get_theory()
                if search_id == d_id:
                    _selected_data[search_id] = data
                if search_id in theory_list.keys():
                     _selected_theory_list[search_id] = theory_list[search_id]
                   
        return _selected_data, _selected_theory_list
   
           
    def freeze(self, theory_id):
        """
        """
        return self.freeze_theory(self.stored_data.keys(), theory_id)
        
    def freeze_theory(self, data_id, theory_id):
        """
        """
        selected_theory = {}
        for d_id in data_id:
            if d_id in self.stored_data:
                data_state = self.stored_data[d_id]
                theory_list = data_state.get_theory()
                for t_id in theory_id:
                    if t_id in theory_list.keys():
                        theory_data, theory_state = theory_list[t_id]
                        new_theory = copy.deepcopy(theory_data)
                        new_theory.id  = time.time()
                        new_theory.is_data = True
                        selected_theory[new_theory.id] = DataState(new_theory)
                        self.stored_data[new_theory.id] = selected_theory[new_theory.id]

        return selected_theory
                    
            
    def delete_data(self, data_id, theory_id=None, delete_all=False):
        """
        """
        for d_id in data_id:
            if d_id in self.stored_data.keys():
                data_state = self.stored_data[d_id]
                if data_state.data.name in self.data_name_dict:
                    del self.data_name_dict[data_state.data.name]
                del self.stored_data[d_id]
        
        self.delete_theory(data_id, theory_id)
        if delete_all:
            self.stored_data = {}
            self.data_name_dict = {}
            
    def delete_theory(self, data_id, theory_id):
        """
        """
        for d_id in data_id:
            if d_id in self.stored_data:
                data_state = self.stored_data[d_id]
                theory_list = data_state.get_theory()
                if theory_id in theory_list.keys():
                    del theory_list[theory_id]
        
            
    def delete_by_id(self, id_list=None):
        """
        save data and path
        """
        for id in id_list:
            if id in self.stored_data:
                del self.stored_data[id]
         
    
    def get_by_name(self, name_list=None):
        """
        return a list of data given a list of data names
        """
        _selected_data = {}
        for selected_name in name_list:
            for id, data_state in self.stored_data.iteritems():
                if data_state.data.name == selected_name:
                    _selected_data[id] = data_state.data
        return _selected_data
    
    def delete_by_name(self, name_list=None):
        """
        save data and path
        """
        for selected_name in name_list:
            for id, data_state in self.stored_data.iteritems():
                if data_state.data.name == selected_name:
                    del self._selected_data[id]
                    del self.stored_data[data.id]

    def get_data_state(self, data_id):
        """
        Send list of selected data
        """
        _selected_data_state = {}
        for id in data_id:
            if id in self.stored_data.keys():
                _selected_data_state[id] = self.stored_data[id]
        return _selected_data_state
    
    def get_all_data(self):
        """
        return list of all available data
        """
        return self.stored_data