from .models import *
import re
import csv


def import_from_csv(path, omit_groupless=True): # pragma: no cover
    with open(path, encoding='ISO-8859-1') as csvfile:
        reader = csv.DictReader(csvfile, delimiter=';')
        rows = list(reader)

    def transform_field(key, value):
        new_key = CLUBDESK_TO_KOMPASS[key]
        if isinstance(new_key, str):
            return (new_key, value)
        else:
            return (new_key[0], new_key[1](value))

    def transform_row(row):
        kwargs = dict([ transform_field(k, v) for k, v in row.items() if k in CLUBDESK_TO_KOMPASS ])
        kwargs_filtered = { k : v for k, v in kwargs.items() if k not in  ['group', 'last_training', 'has_fundamental_training', 'special_training', 'phone_number_private', 'phone_number_parents'] }
        if not kwargs['group'] and omit_groupless:
            # if member does not have a group, skip them
            return
        mem = Member(**kwargs_filtered)
        mem.save()
        mem.group.set([group for group, is_jl in kwargs['group']])
        for group, is_jl in kwargs['group']:
            if is_jl:
                group.leiters.add(mem)

        if kwargs['has_fundamental_training']:
            try:
                ga_cat = TrainingCategory.objects.get(name='Grundausbildung')
            except TrainingCategory.DoesNotExist:
                ga_cat = TrainingCategory(name='Grundausbildung', permission_needed=True)
                ga_cat.save()
            ga_training = MemberTraining(member=mem, title='Grundausbildung', date=None, category=ga_cat,
                                         participated=True, passed=True)
            ga_training.save()

        if kwargs['last_training'] is not None:
            try:
                cat = TrainingCategory.objects.get(name='Fortbildung')
            except TrainingCategory.DoesNotExist:
                cat = TrainingCategory(name='Fortbildung', permission_needed=False)
                cat.save()
            training = MemberTraining(member=mem, title='Unbekannt', date=kwargs['last_training'], category=cat,
                                      participated=True, passed=True)
            training.save()

        if kwargs['special_training'] != '':
            try:
                cat = TrainingCategory.objects.get(name='Sonstiges')
            except TrainingCategory.DoesNotExist:
                cat = TrainingCategory(name='Sonstiges', permission_needed=False)
                cat.save()
            training = MemberTraining(member=mem, title=kwargs['special_training'], date=None, category=cat,
                                      participated=True, passed=True)
            training.save()

        if kwargs['phone_number_private'] != '':
            prefix = '\n' if mem.comments else ''
            mem.comments += prefix + 'Telefon (Privat): ' + kwargs['phone_number_private']
            mem.save()

        if kwargs['phone_number_parents'] != '':
            prefix = '\n' if mem.comments else ''
            mem.comments += prefix + 'Telefon (Eltern): ' + kwargs['phone_number_parents']
            mem.save()

    for row in rows:
        transform_row(row)


def parse_group(value): # pragma: no cover
    groups_raw = re.split(',', value)

    # need to determine if member is youth leader
    roles = set()
    def extract_group_name_and_role(raw):
        obj = re.search('^(.*?)(?: \((.*)\))?$', raw)
        is_jl = False
        if obj.group(2) is not None:
            roles.add(obj.group(2).strip())
            if obj.group(2) == 'Jugendleiter*in':
                is_jl = True
        return (obj.group(1).strip(), is_jl)

    group_names = [extract_group_name_and_role(raw) for raw in groups_raw if raw != '']

    if "Jugendleiter*in" in roles:
        group_names.append(('Jugendleiter', False))
    groups = []
    for group_name, is_jl in group_names:
        try:
            group = Group.objects.get(name=group_name)
        except Group.DoesNotExist:
            group = Group(name=group_name)
            group.save()
        groups.append((group, is_jl))
    return groups


def parse_date(value): # pragma: no cover
    if value == '':
        return None
    return datetime.strptime(value, '%d.%m.%Y').date()


def parse_datetime(value): # pragma: no cover
    tz = pytz.timezone('Europe/Berlin')
    if value == '':
        return timezone.now()
    return tz.localize(datetime.strptime(value, '%d.%m.%Y %H:%M:%S'))


def parse_status(value): # pragma: no cover
    return value != "Passivmitglied"


def parse_boolean(value): # pragma: no cover
    return value.lower() == "ja"


def parse_nullable_boolean(value): # pragma: no cover
    if value == '':
        return None
    else:
        return value.lower() == "ja"


def parse_gender(value): # pragma: no cover
    if value == 'männlich':
        return MALE
    elif value == 'weiblich':
        return FEMALE
    else:
        return DIVERSE


def parse_can_swim(value): # pragma: no cover
    return True if len(value) > 0 else False


CLUBDESK_TO_KOMPASS = { # pragma: no cover
    'Nachname': 'lastname',
    'Vorname': 'prename',
    'Adresse': 'street',
    'PLZ': 'plz',
    'Ort': 'town',
    'Telefon Privat': 'phone_number_private',
    'Telefon Mobil': 'phone_number',
    'Adress-Zusatz': 'address_extra',
    'Land': 'country',
    'E-Mail': 'email',
    'E-Mail Alternativ': 'alternative_email',
    'Status': ('active', parse_status),
    'Eintritt': ('join_date', parse_date),
    'Austritt': ('leave_date', parse_date),
    'Geburtsdatum': ('birth_date', parse_date),
    'Geburtstag': ('birth_date', parse_date),
    'Geschlecht': ('gender', parse_gender),
    'Bemerkungen': 'comments',
    'IBAN': 'iban',
    'Vorlage Führungszeugnis': ('good_conduct_certificate_presented_date', parse_date),
    'Letzte Fortbildung': ('last_training', parse_date),
    'Grundausbildung': ('has_fundamental_training', parse_boolean),
    'Besondere Ausbildung': 'special_training',
    '[Gruppen]' : ('group', parse_group),
    'Schlüssel': ('has_key', parse_boolean),
    'Freikarte': ('has_free_ticket_gym', parse_boolean),
    'DAV Ausweis Nr.': 'dav_badge_no',
    'Schwimmabzeichen': ('swimming_badge', parse_can_swim),
    'Kletterschein': 'climbing_badge',
    'Felserfahrung': 'alpine_experience',
    'Allergien': 'allergies',
    'Medikamente': 'medication',
    'Tetanusimpfung': 'tetanus_vaccination',
    'Fotoerlaubnis': ('photos_may_be_taken', parse_boolean),
    'Erziehungsberechtigte': 'legal_guardians',
    'Darf sich allein von der Gruppenstunde abmelden':
        ('may_cancel_appointment_independently', parse_nullable_boolean),
    'Mobil Eltern': 'phone_number_parents',
    'Sonstiges': 'application_text',
    'Erhalten am': ('application_date', parse_datetime),
    'Angeschrieben von': 'contacted_by',
    'Angeschrieben von ': 'contacted_by',
}


def import_from_csv_waitinglist(path): # pragma: no cover
    with open(path, encoding='ISO-8859-1') as csvfile:
        reader = csv.DictReader(csvfile, delimiter=';')
        rows = list(reader)

    def transform_field(key, value):
        new_key = CLUBDESK_TO_KOMPASS[key]
        if isinstance(new_key, str):
            return (new_key, value)
        else:
            return (new_key[0], new_key[1](value))

    def transform_field(key, value):
        new_key = CLUBDESK_TO_KOMPASS[key]
        if isinstance(new_key, str):
            return (new_key, value)
        else:
            return (new_key[0], new_key[1](value))

    def transform_row(row):
        kwargs = dict([ transform_field(k, v) for k, v in row.items() if k in CLUBDESK_TO_KOMPASS ])
        kwargs_filtered = { k : v for k, v in kwargs.items() if k in ['prename', 'lastname', 'email', 'birth_date', 'application_text', 'application_date'] }

        mem = MemberWaitingList(gender=DIVERSE, **kwargs_filtered)
        mem.save()

        if kwargs['contacted_by']:
            group_name = kwargs['contacted_by']
            try:
                group = Group.objects.get(name=group_name)
                invitation = InvitationToGroup(group=group, waiter=mem)
                invitation.save()
            except Group.DoesNotExist:
                pass

    for row in rows:
        transform_row(row)