import logging

from solo_turnier import html_parser

class ResultRow:
    def __init__(self, firstName, lastName, club, id, group, class_, dance, place, placeTo, competitionGroup, competitionClass):
        self.firstName = firstName
        self.lastName = lastName
        self.name = f'{firstName} {lastName}'
        self.club = club
        self.id = id
        self.group = group
        self.class_ = class_
        self.dance = dance
        self.place = place
        self.placeTo = placeTo
        self.competitionGroup = competitionGroup
        self.competitionClass = competitionClass
    
    def __str__(self):
        return f'{self.name} ({self.id}, {self.club}) is in {self.group} {self.class_} and danced the {self.dance} in {self.competitionGroup} {self.competitionClass} getting place {self.place}-{self.placeTo}'

class ResultPerson:
    def __init__(self, firstName, lastName, club, id = None, group = None):
        self.firstName = firstName
        self.lastName = lastName
        self.name = f'{firstName} {lastName}'
        self.club = club
        self.id = id
        self.group = group
    
    @staticmethod
    def extractFromResultRow(row: ResultRow):
        return ResultPerson(
            firstName=row.firstName,
            lastName=row.lastName,
            club=row.club
        )
    
    def __eq__(self, o):
        if not isinstance(o, ResultPerson):
            return False
        
        return (
            self.firstName == o.firstName and
            self.lastName == o.lastName and
            self.club == o.club and
            self.id == o.id
        )
    
    def __repr__(self):
        if self.id is None:
            return f'{self.name} ({self.club})'
        else:
            return f'{self.name} ({self.club}) [{self.id}]'
        
    def __hash__(self):
        text = str(self)
        return text.__hash__()

class CompetitionResult:
    def __init__(self, dance, group, class_, place, placeTo, id, competitionGroup, competitionClass):
        self.dance = dance
        self.group = group
        self.class_ = class_
        self.place = place
        self.placeTo = placeTo
        self.id = int(id)
        self.competitionGroup = competitionGroup
        self.competitionClass = competitionClass
        self.finalist = None
    
    @staticmethod
    def extractFromResultRow(row: ResultRow):
        return CompetitionResult(
            dance=row.dance,
            group=row.group,
            class_=row.class_,
            place=row.place, placeTo=row.placeTo,
            id=row.id,
            competitionGroup=row.competitionGroup,
            competitionClass=row.competitionClass
        )
    
    def __repr__(self):
        if self.place == self.placeTo:
            result = f'{self.place}.'
        else:
            result = f'{self.place}.-{self.placeTo}.'
        
        if self.finalist == True:
            finalist = '[F]'
        else:
            finalist = ''
        return f'Result[{self.id}]({self.group} {self.class_} {self.dance} as {result}{finalist})'

    def __eq__(self, o):
        if not isinstance(o, CompetitionResult):
            return False
        
        return (
            self.dance == o.dance and
            self.competitionClass == o.competitionClass and
            self.competitionGroup == o.competitionGroup and
            self.place == o.place and self.placeTo == o.placeTo and
            self.id == o.id
        )

class CSVExtractor:
    def __init__(self):
        self.l = logging.getLogger('solo_turnier.worker')
        self.__groupMaps = {
            'Kinder': 'Kin.',
            'Junioren': 'Jun.',
            'Jugend': 'Jug.'
        }
        self.__classMaps = {
            'Newcomer': 'Newc.',
            'Beginner': 'Beg.',
            'Advanced': 'Adv.'
        }

    def __mapGroup(self, group):
        return self.__groupMaps.get(group, group)
    
    def __mapClass(self, class_):
        return self.__classMaps.get(class_, class_)
    
    def mapCSVImport(self, imported) -> list[ResultRow]:
        ret = []

        def __processRow(row):
            result = ResultRow(
                competitionGroup=self.__mapGroup(row[2]),
                competitionClass=self.__mapClass(row[3]),
                dance=row[4],
                id=row[5],
                firstName=row[6], lastName=row[7],
                club=row[10],
                place=row[12], placeTo=row[13],
                group=self.__mapGroup(row[15]), class_=self.__mapClass(row[16])
            )
            ret.append(result)
            self.l.debug('Found row in CSV: %s', result)

        for row in imported['data']:
            __processRow(row)
        
        return ret

class DataWorker:
    def __init__(self):
        self.l = logging.getLogger('solo_turnier.worker')
    
    def combineRowsByPerson(self, rows: list[ResultRow]) -> dict[ResultPerson, list[CompetitionResult]]:
        ret = {}
        for row in rows:
            result = CompetitionResult.extractFromResultRow(row)

            if result.place == '-' or result.placeTo == '-':
                continue
            
            person = ResultPerson.extractFromResultRow(row)
            if person not in ret:
                ret[person] = []
            ret[person].append(result)
        return ret

    def checkUniqueIds(self, data: dict[ResultPerson, list[CompetitionResult]]) -> bool:
        unique = True
        for person in data:
            ids = set([c.id for c in data[person]])
            if len(ids) == 1:
                person.id = list(ids)[0]
            else:
                unique = False

        return unique

    """
    Return a tuple
    The first one is True, if all persons could be unambiguously identified a group
    The second one is True if there was the need to override a group but it was possible to extract from other data
    The second one can be seen as a warning
    """
    def consolidateGroups(self, data:dict[ResultPerson, list[CompetitionResult]]) -> tuple[bool, bool]:
        ambiguous = False
        warnChange = False

        unambiguousGroups = set(['Kin.', 'Jun.', 'Jug.'])
        combinations = set(['Kin./Jun.', 'Jun./Jug.'])

        for person in data:
            groupsRaw = set([c.group for c in data[person]])
            
            unknown = groupsRaw.difference(unambiguousGroups).difference(combinations)
            if len(unknown) > 0:
                raise Exception(f'There were unknown groups found for {person}: {unknown}')
            
            numUnambiguousGroups = len(groupsRaw.intersection(unambiguousGroups))

            if numUnambiguousGroups == 0:
                if len(groupsRaw) == 2:
                    warnChange = True
                    person.group = 'Jun.'
                else:
                    ambiguous = True
                    if len(groupsRaw) == 1:
                        person.group = list(groupsRaw)[0]
                
            elif numUnambiguousGroups == 1:
                if len(groupsRaw.intersection(combinations)) > 0:
                    warnChange = True
                
                person.group = list(groupsRaw.intersection(unambiguousGroups))[0]
            
            else:
                raise Exception(f'{person} cannot have different groups.')
            
        return (not ambiguous, warnChange)

    def _createHtmlLUT(self, htmlImports: list[html_parser.HtmlImport]):
        ret = {}
        parser = html_parser.HtmlParser('')
        for imp in htmlImports:
            parsed = parser.guessDataFromHtmlTitle(imp.title)
            key = (parsed['group'], parsed['class_'], parsed['dance'])
            ret[key] = imp
            self.l.debug('LUT[%s] = %s', key, imp)
        self.l.debug('LUT completed')
        return ret

    def mergeHtmlData(self, data:dict[ResultPerson, list[CompetitionResult]], htmlImports: list[html_parser.HtmlImport]):
        lut = self._createHtmlLUT(htmlImports)
        
        for person in data:
            for competition in data[person]:
                key = (competition.competitionGroup, competition.competitionClass, competition.dance)
                htmlImport = lut[key]
                participant = htmlImport.participants[str(competition.id)]
                if participant.name != person.name:
                    self.l.error(f'Names for {person} and participant in HTML import ({participant}) do not match. Please check carefully.')
                competition.finalist = participant.finalist
    
    def getAllDancesInCompetitions(self, data:dict[ResultPerson, list[CompetitionResult]]) -> list[str]:
        allDances = [
            'Samba', 'Cha Cha', 'Rumba', 'Paso Doble', 'Jive',
            'Langs. Walzer', 'Tango', 'Wiener Walzer', 'Slowfox', 'Quickstep'
        ]
        dancesPresent = {d: False for d in allDances}

        for person in data:
            for competition in data[person]:
                dancesPresent[competition.dance] = True

        return [d for d in allDances if dancesPresent[d]]

    def collectPersonsInGroups(self, data:dict[ResultPerson, list[CompetitionResult]]) -> list[tuple[str, list[ResultPerson]]]:
        groups = {
            'Kin.': [p for p in data.keys() if p.group == 'Kin.'],
            'Jun.': [p for p in data.keys() if p.group == 'Jun.'],
            'Jug.': [p for p in data.keys() if p.group == 'Jug.'],
        }
        found = groups['Kin.'] + groups['Jun.'] + groups['Jug.']
        groups['Sonst'] = [p for p in data.keys() if p not in found]
        return groups

    def sortPersonsInGroup(self, persons: list[ResultPerson]) -> list[ResultPerson]:
        ids = [p.id for p in persons]

        def decorateByName(p: ResultPerson):
            return (f'{p.name} ({p.club})', p)
        def decorateById(p: ResultPerson):
            return (p.id, p)

        if any([id == None for id in ids]):
            # We need to sort by name
            decorated = [decorateByName(p) for p in persons]
            showIds = False
        else:
            decorated = [decorateById(p) for p in persons]
            showIds = True
        
        decorated.sort()

        return ([d[1] for d in decorated], showIds)
    
    def mapPersonResultsToDanceList(self, results: list[CompetitionResult], dances: list[str]) -> list[CompetitionResult|None]:
        ret = []
        for dance in dances:
            competitions = [c for c in results if c.dance == dance]
            if len(competitions) == 0:
                ret.append(None)
            elif len(competitions) > 1:
                raise Exception(f'Multiple competitions with the same dance "{dance}" found.')
            else:
                ret.append(competitions[0])
            
        return ret