import numpy as np
from .. import parser
from datetime import datetime
@parser(element='NM1',x12='*', anchor={'41':'submitter','40':'receiver','82':'rendering_provider','85':'billing_provider','87':'pay_to_provider','IL':'patient','PR':'payer','QC':'patient','DN':'referring_provider','77':'provider','2':'billing_provider'}, map={1:'type',3:'name_1',4:'name_2',-1:'id'})    
def NM1 (**_args):
    """
    Expected Element NM1
    ref IL,40,41,82,85,PR ...
    Information about entities (doctors, clearing house, provider). we should be mindful of the references
    """
    # _CODE_INDEX = 1
    # CONTEXT_MAP = {
        
    #         '2':{'field':'payer'},
    #         'PR':{'field':'payer'},
    #         '41':{'field':'header'},
    #         '45':{'field':'ambulance_location'},
    #         'IL':{'field':'patient','map':{'type':2,'first_name':4,'last_name':3}},
    #         'P5':{'field':'plan_sponsor'},
    #         '82':{'field':'rendering_provider','map':{'type':2,'first_name':4,'last_name':3}},
    #         '85':{'field':'billing_provider'},
            
            
        
    # }
    # _args ['plugin-context'] = {'@ref':CONTEXT_MAP}
    # # _map = {_CODE_INDEX:{'41':'submitter','40':'receiver','PR':'payer'}} 
    # _columns = ['type','name','id']  
    # _indexes = [1,3,-1]    
    # # _info = [{'index':'40','field':'receiver'},{'index':'41','field':'submitter'},{'index':'PR','field':'payer'}]
    # _pointer = _args['parser']
    # _info =  _pointer(_columns,_indexes,**_args)    
    # self.lastelement = _info
    # return _info
    pass
@parser(element='N3',x12='837', parent='NM1',map={1:'address_line_1',2:'address_line_2'})
def N3 (**_args):
    """        
    Expected Element N3
    """
    pass
    # _columns = ['address_line_1']
    # return self.parse(_columns,[1,2],**_args)
@parser(element='N4',x12='*',parent='NM1',map={1:'city',2:'state',3:'zipcode'})
def N4(**_args):
    """
    Expected Element N4
    """
    # _columns = ['city','state','zip']
    # return self.parse(_columns,[1,2,3],**_args)
    pass
@parser(element='HI',x12='837', map={1:'type',2:'code'})
def HI(**_args):
    """
    Expected Element HI
    This function will parse diagnosis codes ICD 9/10
    """
    # _columns = ['code','type']
    # return self.parse(_columns,[2,1],**_args)
    pass
@parser(element='AMT',x12='837',map={2:'patient_amount',1:'patient_amount_qualifier'})
def AMT (**_args):
    """
    Expected Element AMT
    """
    # _columns = ['amount','qualifier']
    # return self.parse(_columns,[2,1],**_args)
    pass

@parser(element='SBR',x12='837',field='subscriber',map={9:'vendor',2:'individual_code',1:'type'})
def SBR (**_args):
    """
    Expected Element SBR
    """
    # _index = [9,1]
    # _columns = ['vendor','individual_code','type']
    # return self.parse(_columns,[9,2,1],**_args)
    pass
@parser(element='DMG',x12='837', field='patient',map={2:'dob',3:'gender',1:'format'})
def DMG (**_args):
    """
    Expected Element DMG, these need to be stored in a patient object
    """
    _data = _args['data']
    _y = _data['dob'][:4]
    _m= _data['dob'][4:6]
    _d = _data['dob'][6:].strip()
    _data['dob'] = datetime(year=int(_y), month=int(_m),day=int(_d))
    return _data
    # _columns    = ['dob','gender','format']
    # _info  = self.parse(_columns,[2,3,1],**_args)
    
    # return {'patient':_info}
    pass
@parser(element='DTP', x12='837', field='date',map={3:['end_date','start_date']})
def DTP (**_args):
    """
    Expected Element DTP
    """
    # _columns = ['to','from','type']
    # return self.parse(_columns,[3],**_args)
    _data = _args['data']
    _data['end_date'] = '-'.join([_data['end_date'][:4],_data['end_date'][4:6],_data['end_date'][6:]])
    _data['start_date'] = '-'.join([_data['start_date'][:4],_data['start_date'][4:6],_data['start_date'][6:]])
    return _data
    pass
@parser(element='PER',anchor={'IC':'submitter'},map={2:'contact',4:'phone_number',8:'email'})
def PER (**_args):
    """
    Expected Element PER
    """
    # _CODE_INDEX = 1
    # _map = {_CODE_INDEX:{'IC':'submitter'}}  # attribute to store the data in
    # _columns = ['contact_name','phone','email']
    # _info =  self.parse (_columns,[2,4,8],**_args)
    #
    # @TODO: Inspect the configuration file for the attribute information
    #        
    # return _info
    pass
@parser(element='CLM',x12='837',map={1:'claim_id',2:'claim_amount',5:'facility_code',5:'facility_qualifier',5:'frequency_code'})
def CLM (**_args):
    """
    Expected Element CLM
    """
    _data = _args['data']
    _data['claim_amount'] = np.float64(_data['claim_amount']) if _data['claim_amount'] not in ['',None] else ''
    return _data
    # _columns = ['claim_id','claim_amount','facility_code','facility_qualifier','frequency_code']
    # return self.parse(_columns,[1,2,5,5,5],**_args)
    pass
# @parser(element='REF', field='ref',map={2:'id'})
def REF (**_args):
    _columns = ['identifier','qualifier','']
    pass
@parser(element='HI',x12='837',container='diagnosis',map={1:'code',2:'type'})        
def HI (**_args):
    """
    Expected Element HI
    """
    # _columns = ['code','type']
    # return self.parse(_columns,[1,2],**_args)
    _data = _args['data']
    if ':' in _data['code'] :
        _data['type'],_data['code'] = _data['code'].split(':')
    return _data
    
@parser(element=['SV1','SV3'],x12='837',container='procedures',map={1:['type','code'],2:'amount'})
def SV1 (**_args):
    """
    Expected Element SV1
    """
    # _row = _args['row'] if type(_args['row']) == list else _args['row'].split('*')
    # _columns = ['type','code','amount','modifier_1','modifier_2','modifier_3','modifier_4','place_of_service','units','measurement']
    # return self.parse(_columns,[1,1,2,1,1,1,1,5,4,3],**_args)
    _data = _args['data']
    if 'type' in _data :
        _data['type'] = _data['type'].split(':')[0]
        _data['code'] = _data['code'].split(':')[1]
        _data['amount']= np.float64(_data['amount'])
        return _data
    pass
@parser (element='HL',x12='837', field='patient', map={1:'_index',2:'parent_code',3:'level_code',4:'child_code'})
def HL (**_args) :
    """,
    Expected Element HL
    The expected block is supposed to be unprocessed (to make things simple)
    """
    pass
    
    # _data = _args['data']
    # _data['_index'] = int(_data['_index'])
    # return _data
    # # _row    = _args['row'] if type(_args['row']) == list else _args['row'].split('~')
    
    # # _attr = self.elements() #[_name for _name in dir() if not _name.islower() and not _name.startswith('_')]
    # # _pointers = [getattr(_name) for _name in _attr]
    # # _map = dict(zip(_attr,_pointers))
    # _map = self.pointers()
    
    # #
    # # The index here tells us what we are processing i.e index == 1 something about header
    # #
    # _columns = ['_index','parent','code','child']
    # # _args['row'] = _row[0]
    
    # _info =  self.parse (_columns,[1,2,3,4],**_args)
    # # _field = 'billing_provider' if _info['_index'] == '1' else 'patient'
    # # _config ={'field':_field}
    # return _info