Create central type classes
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15eec712f2
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@ -189,12 +189,22 @@ class BatchWorker:
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self.l.info('Extracting person data from the preview rounds.')
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previewWorker.extractPersonsFromPreview(parsers)
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csvReader = solo_turnier.reader.AllResultReader(self.config.importCSVPath())
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self.l.info('Importing the total result CSV file %s', self.config.importCSVPath())
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csvData = csvReader.readFile()
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self.l.info('CSV file has been read')
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worker = solo_turnier.worker.DataWorker()
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csvReader = solo_turnier.reader.CSVResultReader(self.config.importCSVPath())
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self.l.info('Loading the total result CSV file %s', self.config.importCSVPath())
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csvRows = csvReader.extractResult()
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# csvReader = solo_turnier.reader.AllResultReader(self.config.importCSVPath())
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# self.l.info('Loading the total result CSV file %s', self.config.importCSVPath())
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# csvData = csvReader.readFile()
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# self.l.info('CSV file has been read')
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# csvExtractor = solo_turnier.worker.CSVExtractor()
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# self.l.info('Importing CSV data into internal structures')
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# csvRows = csvExtractor.mapCSVImport(csvData)
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# worker = solo_turnier.worker.DataWorker()
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# self.l.info('Checking for feasible HTML export files in "%s"', self.config.importHtmlPath())
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# htmlCandidates = locator.findCandidates(self.config.importHtmlPath())
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@ -213,9 +223,6 @@ class BatchWorker:
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# self.l.info('Processing the imported data')
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# csvExtractor = solo_turnier.worker.CSVExtractor()
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# self.l.debug('Importing CSV data into internal structures')
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# csvRows = csvExtractor.mapCSVImport(csvData)
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# self.l.debug('Combining results from CSV for individual users')
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# data = worker.combineRowsByPerson(csvRows)
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@ -5,29 +5,12 @@ import os
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import logging
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import re
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from pprint import pformat
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class ResultRow:
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def __init__(self, firstName, lastName, club, id, group, class_, dance, place, placeTo, competitionGroup, competitionClass):
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self.firstName = firstName
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self.lastName = lastName
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self.name = f'{firstName} {lastName}'
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self.club = club
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self.id = id
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self.group = group
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self.class_ = class_
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self.dance = dance
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self.place = place
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self.placeTo = placeTo
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self.competitionGroup = competitionGroup
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self.competitionClass = competitionClass
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def __str__(self):
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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}'
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from .types import ResultRow
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class CSVResultReader:
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def __init__(self, fileName: str):
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self.fileName = fileName
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self.l = logging.getLogger('solo_turnier.reader.CSVResultReader')
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def readFile(self):
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with open(self.fileName, 'r') as fp:
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@ -45,30 +28,34 @@ class CSVResultReader:
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'data': rows[1:]
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}
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l = logging.getLogger('solo_turnier.reader.all_results')
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l.log(5, 'Imported results from allresults.csv file: %s', (ret))
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self.l.log(5, 'Imported results from allresults.csv file: %s', (ret))
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return ret
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def extractResult(self, entries = None) -> list[ResultRow]:
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if entries is None:
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entries = self.readFile()
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groupParser = solo_turnier.group.GroupParser()
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classParser = solo_turnier.competition_class.CompetitionClassParser()
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def __processRow(row):
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result = ResultRow(
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competitionGroup=self.__mapGroup(row[2]),
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competitionClass=self.__mapClass(row[3]),
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competitionGroup=groupParser.parseClass(row[2]),
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competitionClass=classParser.parseClass(row[3]),
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dance=row[4],
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id=row[5],
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firstName=row[6], lastName=row[7],
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club=row[10],
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place=row[12], placeTo=row[13],
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group=self.__mapGroup(row[15]), class_=self.__mapClass(row[16])
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group=groupParser.parseClass(row[15]),
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class_=classParser.parseClass(row[16])
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)
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self.l.log(5, 'Found row in CSV: %s', result)
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return result
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ret = map(__processRow, imported['data'])
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ret = list(map(__processRow, entries['data']))
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self.l.log(5, 'Extracted rows from CSV data: %s', ret)
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return ret
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class CSVExtractor:
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25
src/solo_turnier/types.py
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25
src/solo_turnier/types.py
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@ -0,0 +1,25 @@
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class ResultRow:
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def __init__(self, firstName, lastName, club, id, group, class_, dance, place, placeTo, competitionGroup, competitionClass):
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self.firstName = firstName
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self.lastName = lastName
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self.name = f'{firstName} {lastName}'
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self.club = club
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self.id = id
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self.group = group
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self.class_ = class_
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self.dance = dance
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self.place = place
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self.placeTo = placeTo
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self.competitionGroup = competitionGroup
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self.competitionClass = competitionClass
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def __repr__(self):
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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}'
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class State4:
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def __init__(
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self,
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csvRows: list[ResultRow]
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):
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self.csvRows = csvRows
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@ -1,6 +1,8 @@
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import logging
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from pprint import pformat
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from solo_turnier import html_parser
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from .reader import ResultRow
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class HtmlPerson:
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def __init__(self, name, id, group):
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@ -10,6 +12,14 @@ class HtmlPerson:
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def __repr__(self):
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return f'{self.name} ({self.id}, {self.group})'
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def __eq__(self, o):
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if not isinstance(o, HtmlPerson):
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return False
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return str(self) == str(o)
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def __hash__(self):
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return str(self).__hash__()
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class ResultPerson:
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def __init__(self, firstName, lastName, club, id = None, group = None):
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@ -98,10 +108,14 @@ class CompetitionResult:
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)
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class ImportNotParsableException(Exception):
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pass
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class PreviewWorker:
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def __init__(self):
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self.l = logging.getLogger('solo_turnier.worker.PreviewWorker')
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self.persons = None
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self.parsers = None
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def filterFilesPreview(self, files: list[str]) -> dict[str, html_parser.HtmlParser]:
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self.l.debug('Filtering the list of parsers by removing all non preview entries.')
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@ -110,7 +124,7 @@ class PreviewWorker:
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with open(file, 'r') as fp:
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text = fp.read()
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parser = html_parser.HtmlParser(text)
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parser = html_parser.HtmlParser(text, file)
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try:
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data = parser.guessDataFromHtmlTitle()
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@ -135,7 +149,7 @@ class PreviewWorker:
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if data['titles'][0] != 'Wertungsrichter':
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self.l.fatal('Cannot parse the parsed content of the preview file.')
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raise Exception('Incompatible export file')
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raise ImportNotParsableException('Incompatible export file')
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ids = []
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names = []
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@ -157,21 +171,34 @@ class PreviewWorker:
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group = parser.guessDataFromHtmlTitle(imported['title'])['group']
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groups = [group for i in indices]
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ret = []
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for i in range(len(ids)):
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ret.append(HtmlPerson(names[i], ids[i], groups[i]))
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def __mappingFcn(id, name, group):
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return HtmlPerson(name, id, group)
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self.l.log(5, ret)
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return ret
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currentPersons = list(map(__mappingFcn, ids, names, groups))
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self.l.log(5, 'Extracted persons in preview round: %s', currentPersons)
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for p in currentPersons:
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current = self.parsers.get(p, [])
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current.append(parser)
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self.parsers[p] = current
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def __resetStructures(self):
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self.persons = None
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self.parsers = {}
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def extractPersonsFromPreview(self, parsers):
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self.__resetStructures()
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for file in parsers:
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self.l.debug('Extracting person data from %s', file)
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self.__extractPersonsFromSinglePreview(parsers[file])
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self.persons = self.parsers.keys()
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self.l.log(5, 'Extracted person data: %s', pformat(self.parsers))
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class DataWorker:
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def __init__(self):
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self.l = logging.getLogger('solo_turnier.worker')
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self.l = logging.getLogger('solo_turnier.worker.DataWorker')
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def combineRowsByPerson(self, rows: list[ResultRow]) -> dict[ResultPerson, list[CompetitionResult]]:
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ret = {}
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@ -319,4 +346,3 @@ class DataWorker:
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return ret
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