Integration of parts into solution on CLI

src/solo_turnier/__init__.py

@@ -3,6 +3,9 @@ from . import cli
 from . import reader
 from . import participant
 
+from . import html_locator
+from . import html_parser
 from . import worker
+from . import output
 
 from . import batch

src/solo_turnier/batch.py

@@ -174,6 +174,51 @@ class BatchWorker:
         return [__extractRow(r) for r in allResults['data'][0:2]]
     
     def run(self):
+        self.l.debug(self.config.__dict__)
+        
+        locator = solo_turnier.html_locator.HtmlLocator()
+        self.l.info('Checking for feasible HTML export files in "%s"', self.config.importHtmlPath())
+        htmlCandidates = locator.findCandidates(self.config.importHtmlPath())
+        self.l.debug('Found HTML file candidates: %s', htmlCandidates)
+
+        htmlParser = solo_turnier.html_parser.HtmlParser()
+        htmlImports = []
+        self.l.info('Importing the candidates')
+        for candidate in htmlCandidates:
+            self.l.debug('Processing file %s', candidate)
+            with open(candidate, 'r') as fp:
+                fileContent = fp.read()
+            htmlImports.append(htmlParser.parseString(fileContent))
+        self.l.info('All HTML files have been parsed')
+
+        csvReader = solo_turnier.reader.AllResultReader(self.config.importCSVPath())
+        self.l.info('Importing the total result CSV file %s', self.config.importCSVPath())
+        csvData = csvReader.readFile()
+        self.l.info('CSV file has been read')
+
+        self.l.info('Processing the imported data')
+        
+        csvExtractor = solo_turnier.worker.CSVExtractor()
+        self.l.debug('Importing CSV data into internal structures')
+        csvRows = csvExtractor.mapCSVImport(csvData)
+
+        worker = solo_turnier.worker.DataWorker()
+        self.l.debug('Combining results from CSV for individual users')
+        data = worker.combineRowsByPerson(csvRows)
+        self.l.debug('Fix the groups for combined competitions')
+        unambiguous, fixedGroups = worker.consolidateGroups(data)
+        if fixedGroups:
+            self.l.info('It was required to fix some group issues.')
+        if not unambiguous:
+            self.warning('There were couples whose group could not be extracted unambiguously.')
+        self.l.debug('Merging HTML and CSV data')
+        worker.mergeHtmlData(data, htmlImports)
+        self.l.info('Data is prepared')
+
+        consoleOutputtter = solo_turnier.output.ConsoleOutputter()
+        consoleOutputtter.output(data)
+
+    def run1(self):
         allResults, finals = self.__extractDataFromFiles()
 
         persons = self.__extractPersons(allResults)

src/solo_turnier/cli.py

@@ -6,8 +6,9 @@ class Cli:
         parser = argparse.ArgumentParser()
         parser.add_argument('--gui', help='Show the GUI', action='store_true')
 
-        parser.add_argument('-i', '--import-from', help='Set the path to load the TopTurnier exports from', nargs=1, default=['.'])
-        parser.add_argument('-o', '--output', help='Set the output path of the script', nargs=1)
+        parser.add_argument('-i', '--import-from', help='Set the path to load the TopTurnier exports from', nargs=1, default=['allresults.csv'])
+        parser.add_argument('-p', '--html-path', help='The path from where to look for HTML export files', nargs=1, default=['.'])
+        parser.add_argument('-o', '--output', help='Set the output path of the script', nargs=1, default=[None])
 
         parser.add_argument('-v', '--verbose', help='Increase verbosity', action='count', default=0)
         self.__args = parser.parse_args()
@@ -24,7 +25,10 @@ class Cli:
     def showGUI(self):
         return self.__args.gui
     
-    def importPath(self):
+    def importHtmlPath(self):
+        return self.__args.html_path[0]
+    
+    def importCSVPath(self):
         return self.__args.import_from[0]
     
     def output(self):

src/solo_turnier/output.py

@@ -0,0 +1,69 @@
+
+import logging
+from tabulate import tabulate
+
+import solo_turnier
+
+sections = ('Kin.', 'Jun.', 'Jug.', 'Sonst')
+sectionMap = {
+    'Kin.': 'Kinder',
+    'Jun.': 'Junioren',
+    'Jug.': 'Jugend',
+    'Sonst': 'Undefiniert'
+}
+
+class AbstractOutputter:
+    def __init__(self):
+        self.worker = solo_turnier.worker.DataWorker()
+        self.groups = []
+        self.dances = []
+        self.showIds = False
+
+    def getRowData(self, person: solo_turnier.worker.ResultPerson, results):
+        mappedResults = self.worker.mapPersonResultsToDanceList(results, self.dances)
+        if self.showIds:
+            name = f'{person.name} ({person.id})'
+        else:
+            name = person.name
+
+        ret = [name]
+        for result in mappedResults:
+            if result is None:
+                ret.append('')
+            elif result.finalist == False:
+                ret.append('x')
+            elif result.place == result.placeTo:
+                ret.append(f'{result.place}. ({result.class_})')
+            else:
+                ret.append(f'{result.place}.-{result.placeTo}. ({result.class_})')
+        return ret
+
+    def getTabularData(self, data, section):
+        sortedPersons, self.showIds = self.worker.sortPersonsInGroup(self.groups[section])
+
+        tableData = []
+        for person in sortedPersons:
+            tableData.append(self.getRowData(person, data[person]))
+
+        return tableData
+
+class ConsoleOutputter(AbstractOutputter):
+    def __init__(self):
+        super().__init__()
+        self.l = logging.getLogger('solo_turnier.output.console')
+    
+    def __outputSection(self, data, section):
+        tableData = self.getTabularData(data, section)
+        tableData = [['Name'] + self.dances] + tableData
+
+        print(f"Einzeltanzwettbewerb der {sectionMap[section]}")
+        print(tabulate(tableData, headers='firstrow', tablefmt='fancy_grid'))
+        print()
+
+    def output(self, data):
+        self.groups = self.worker.collectPersonsInGroups(data)
+        self.dances = self.worker.getAllDancesInCompetitions(data)
+
+        for section in sections:
+            if len(self.groups[section]) > 0:
+                self.__outputSection(data, section)