commit 8e5ba19def2c46cc9475dfed28881780e97c7e51 Author: oncream Date: Thu Jan 18 14:08:22 2024 +0800 init(中超python代码):初始化 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d95fe49 --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +venv* +file diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..13566b8 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..25bde2c --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,14 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..c39968a --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,7 @@ + + + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..93e2e50 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/statistics-processor.iml b/.idea/statistics-processor.iml new file mode 100644 index 0000000..e0c9697 --- /dev/null +++ b/.idea/statistics-processor.iml @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..2080737 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,8 @@ +FROM python:3.7.4-slim-stretch + +ADD . /app +WORKDIR /app + +RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple -r requirements.txt + +CMD ["python", "application.py"] \ No newline at end of file diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..700ad83 --- /dev/null +++ b/Makefile @@ -0,0 +1,8 @@ +all: docker-build + +docker-build: + docker build -t dingshudata/footbar-statistics . + +grpc: + python -m grpc_tools.protoc --python_out=./server --grpc_python_out=./server -I./proto ./proto/process.proto + diff --git a/application.py b/application.py new file mode 100644 index 0000000..b23d250 --- /dev/null +++ b/application.py @@ -0,0 +1,50 @@ +import logging +import time +from concurrent import futures + +import grpc + +from processor.create_xml import CreateXml +from processor.processor import Processor +from server import process_pb2_grpc + + +class Statistics(process_pb2_grpc.StatisticsServicer): + def RunTeamStatistics(self, request, context): + return Processor(request.event, request.homeTeamId, request.visitingTeamID, + request.names).run_team_statistics() + + def RunPlayerStatistics(self, request, context): + return Processor(request.event, request.homeTeamId, request.visitingTeamID, + request.names).run_player_statistics() + + def RunPassingMatrix(self, request, context): + return Processor(request.event, request.homeTeamId, request.visitingTeamID, + request.names).run_passing_matrix() + + def RunPassGraph(self, request, context): + return Processor(request.event, request.homeTeamId, request.visitingTeamID, request.names).run_pass_graph() + + def RunCreateXml(self, request, context): + return CreateXml(request.matchId).run_create_xml() + + +def serve(): + logger = logging.getLogger() + # 启动 rpc 服务 + server = grpc.server(futures.ThreadPoolExecutor(max_workers=10)) + process_pb2_grpc.add_StatisticsServicer_to_server(Statistics(), server) + server.add_insecure_port('127.0.0.1:5959') + server.start() + logger.info('grpc server start on port(s):5959') + try: + while True: + time.sleep(60 * 60 * 24) # one day in seconds + except KeyboardInterrupt: + server.stop(0) + logger.info('grpc server shutdown.') + + +if __name__ == '__main__': + logging.basicConfig(level=logging.INFO, format='time="%(asctime)s" level=%(levelname)s message="%(message)s"') + serve() diff --git a/config/application.yaml b/config/application.yaml new file mode 100644 index 0000000..b2791ba --- /dev/null +++ b/config/application.yaml @@ -0,0 +1,8 @@ +file: + path: F:\工作\中超项目\football- manager\football- manager\statistics-processor\file\ + +databases: + url: 123.206.181.43 + name: panoramic + password: Admin@999 + database: csl_events \ No newline at end of file diff --git a/processor/__init__.py b/processor/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/processor/create_xml.py b/processor/create_xml.py new file mode 100644 index 0000000..4c96d34 --- /dev/null +++ b/processor/create_xml.py @@ -0,0 +1,1022 @@ +import os +import re +from xml.etree.ElementTree import Element, SubElement, ElementTree +from server import process_pb2 +import pymysql +import yaml + +yamlPath = os.path.join(os.path.split(os.path.realpath(__file__))[0], '../config/application.yaml') +f = open(yamlPath, 'r', encoding='utf-8') +x = yaml.load(f, Loader=yaml.FullLoader) + +match_info = {} +teamHost = {} +hostPlayerSpam = [] +teamGuest = {} +guestPlayerSpam = [] +teamHost['Players'] = 0 +teamGuest['Players'] = 0 +filename = "Stats1.xml" +text_eq1 = 'Beijing Guoan' +text_eq2 = 'Guangzhou Evergrande' +text_journee = '1' +text_competition = 'Chinese Friendly matches' +attrib1_competition = '01/01/2015' +attrib2_competition = '31/12/2015' +text_date = '27/03/2015' +text_stade = 'Beijing Fengtai Stadium' +text_heure = '19:35' +text_couleq1 = '#FFFFFF' +text_couleq2 = '#FFC0CB' +attrib1_codematch = '20207242' +text_codematch = 'BEIJI-LUNEN-270315-1' +text_tempsDeJeu = '23:45' +text_tempsEffectif = '12:34' +text_statut = 'pas commence' +int_scoreA_match = 2 +int_scoreB_match = 3 +int_equipeA_rapportForce5Min_attrib = 50 +text_equipeA_rapportForce5Min = 'Beijing Guoan' +text_equipeA_tempsPossession = '30:00' +int_equipeB_rapportForce5Min_attrib = 50 +text_equipeB_rapportForce5Min = 'Guangzhou Evergrande' +text_equipeB_tempsPossession = '00:00' + +int_equipeA_pctPossession = 0 +int_equipeA_ballonJoue = 11 +int_equipeA_ballonGagne = 22 +int_equipeA_ballonPerdu = 33 +int_equipeA_passe = 44 +int_equipeA_passeReussie = 45 +int_equipeA_pctPasseReussie = 0 +int_equipeA_occasion = 0 +int_equipeA_tir = 0 +int_equipeA_tirCadre = 0 +int_equipeA_tirNonCadre = 0 +int_equipeA_pctTirsCadres = 0 +int_equipeA_but = 0 +int_equipeA_butSurPenalty = 0 +int_equipeA_butContreSonCamp = 0 +int_equipeA_horsJeu = 0 +int_equipeA_cornerEffectue = 0 +int_equipeA_toucheEffectuee = 0 +int_equipeA_centreEffectue = 0 +int_equipeA_coupFrancEffectue = 0 +int_equipeA_sortieDeButEffectuee = 0 +int_equipeA_penalty = 0 +int_equipeA_fauteSubie = 0 +int_equipeA_fauteCommise = 0 +int_equipeA_tacle = 0 +int_equipeA_cartonJaune = 0 +int_equipeA_cartonRouge = 0 +text_equipeA_entraineur = '' + +int_equipeB_pctPossession = 0 +int_equipeB_ballonJoue = 3 +int_equipeB_ballonGagne = 6 +int_equipeB_ballonPerdu = 9 +int_equipeB_passe = 12 +int_equipeB_passeReussie = 0 +int_equipeB_pctPasseReussie = 0 +int_equipeB_occasion = 0 +int_equipeB_tir = 11 +int_equipeB_tirCadre = 8 +int_equipeB_tirNonCadre = 10 +int_equipeB_pctTirsCadres = 0 +int_equipeB_but = 7 +int_equipeB_butSurPenalty = 0 +int_equipeB_butContreSonCamp = 0 +int_equipeB_horsJeu = 0 +int_equipeB_cornerEffectue = 0 +int_equipeB_toucheEffectuee = 0 +int_equipeB_centreEffectue = 0 +int_equipeB_coupFrancEffectue = 0 +int_equipeB_sortieDeButEffectuee = 0 +int_equipeB_penalty = 0 +int_equipeB_fauteSubie = 0 +int_equipeB_fauteCommise = 0 +int_equipeB_tacle = 0 +int_equipeB_cartonJaune = 0 +int_equipeB_cartonRouge = 0 +text_equipeB_entraineur = '' + + +class CreateXml: + + def __init__(self, match_id): + self.match_id = match_id + + def run_create_xml(self): + db = pymysql.connect(host=x.get('databases').get('url') + '', user=x.get('databases').get('name'), password=x.get('databases').get('password'), + database=x.get('databases').get('database')) + # db = pymysql.connect(x.get('databases').get('url'), + # x.get('databases').get('name'), + # x.get('databases').get('password'), + # x.get('databases').get('database') + # ) + self.fetch_data_from_database(self.match_id, db) + tree = self.create_xml() + self.update_xml(tree) + tree.write(x.get('file').get('path') + filename, encoding='utf-8', xml_declaration=True, + short_empty_elements=False) + self.clean_list() + return process_pb2.XmlResult( + status="1" + ) + + def GetTimeString(self, time_in_mil_secs): + time_in_secs = int(time_in_mil_secs / 1000) + n_min = int(time_in_secs / 60) + n_sec = int(time_in_secs - n_min * 60) + if n_min == 0 or n_sec == 0: + return "" + return str(n_min) + ':' + str(n_sec).rjust(2, '0') + + def pretty_xml(self, element, indent, newline, level=0): # elemnt为传进来的Elment类，参数indent用于缩进，newline用于换行 + if element: # 判断element是否有子元素 + if (element.text is None) or element.text.isspace(): # 如果element的text没有内容 + element.text = newline + indent * (level + 1) + else: + element.text = newline + indent * (level + 1) + element.text.strip() + newline + indent * (level + 1) + # else: # 此处两行如果把注释去掉，Element的text也会另起一行 + # element.text = newline + indent * (level + 1) + element.text.strip() + newline + indent * level + temp = list(element) # 将element转成list + for subelement in temp: + if temp.index(subelement) < (len(temp) - 1): # 如果不是list的最后一个元素，说明下一个行是同级别元素的起始，缩进应一致 + subelement.tail = newline + indent * (level + 1) + else: # 如果是list的最后一个元素， 说明下一行是母元素的结束，缩进应该少一个 + subelement.tail = newline + indent * level + self.pretty_xml(subelement, indent, newline, level=level + 1) # 对子元素进行递归操作 + + def create_xml(self): + global teamHost, teamGuest + element_list = [] + tree = ElementTree() + statistiques = Element('statistiques') + tree._setroot(statistiques) + + identite = SubElement(statistiques, 'identite') + identite_sub_element = ['eq1', 'eq2', 'journee', 'competition', 'date', 'stade', 'heure', + 'arbitre', 'arbitre1', 'arbitre2', 'arbitre3', 'source', 'couleq1', 'couleq2', + 'codematch'] + + for i in range(len(identite_sub_element)): + element_list.append(SubElement(identite, identite_sub_element[i])) + + match = SubElement(statistiques, 'match') + match_sub_element = ['tempsDeJeu', 'tempsEffectif', 'statut', 'scoreA', 'scoreB', 'remplacement', 'buteur'] + for i in range(len(match_sub_element)): + element_list.append(SubElement(match, match_sub_element[i])) + score_ab = ['scoreA', 'scoreB'] + score_ab_sub_element = ['miTemps', 'match'] + for i in range(len(score_ab)): + for j in range(len(score_ab_sub_element)): + element_list.append(SubElement(next(tree.iter(score_ab[i])), score_ab_sub_element[j])) + remplace_ab_sub_element = ['remplaceEquipeA', 'remplaceEquipeB'] + for i in range(len(remplace_ab_sub_element)): + element_list.append(SubElement(next(tree.iter('remplacement')), remplace_ab_sub_element[i])) + buteur_ab_sub_element = ['equipeA', 'equipeB'] + for i in range(len(buteur_ab_sub_element)): + element_list.append(SubElement(next(tree.iter('buteur')), buteur_ab_sub_element[i])) + + equipes = SubElement(statistiques, 'equipes') + equipes_sub_element = ['equipeA', 'equipeB'] + for i in range(len(equipes_sub_element)): + element_list.append(SubElement(equipes, equipes_sub_element[i])) + + equipe_ab_sub_element = ['collective', 'individuelle'] + for j in range(len(equipe_ab_sub_element)): + elementloc = './equipes/' + equipes_sub_element[i] + element_list.append(SubElement(tree.find(elementloc), equipe_ab_sub_element[j])) + + collective_sub_element = ['nomEquipe', 'tempsPossession', 'pctPossession', 'ballonJoue', + 'ballonGagne', 'ballonPerdu', 'passe', 'passeReussie', 'pctPasseReussie', + 'occasion', + 'tir', 'tirCadre', 'tirNonCadre', 'pctTirsCadres', 'but', 'butSurPenalty', + 'butContreSonCamp', + 'horsJeu', 'cornerEffectue', 'toucheEffectuee', 'centreEffectue', + 'coupFrancEffectue', + 'sortieDeButEffectuee', 'penalty', 'fauteSubie', 'fauteCommise', 'tacle', + 'cartonJaune', + 'cartonRouge', 'entraineur', 'possessionZone', 'possessionTemps', 'tirZone', + 'attaqueZone', + 'nbPassesParAttaque', 'vitesseAttaque', 'attaquesEtTirs', 'zoneRecuperation', + 'vitesseRecuperation', + 'zoneRecuperationRapide', 'zoneRecuperationEnJeu', + 'zoneRecuperationAvecAttaqueRapide', + 'zoneFauteSubie', 'zoneFauteCommise', 'directionPasse', 'centre', 'longueurPasse'] + for collective_i in range(len(collective_sub_element)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + element_list.append(SubElement(tree.find(elementloc), collective_sub_element[collective_i])) + + individuelleSUbElement = ['nom', 'prenom', 'numeroMaillot', 'nomUsuel', 'capitaine', 'lequipe', + 'poste', 'bloc', 'tempsJoue', 'tempsDePossession', 'ballonJoue', 'ballonGagne', + 'ballonPerdu', + 'passe', 'passeReussie', 'pctPasseReussie', 'passeDecisive', 'occasion', 'tir', + 'tirPiedGauche', + 'tirPiedDroit', 'tirTete', 'tirCadre', 'tirNonCadre', 'pctTirCadre', 'butMarque', + 'butSurPenalty', + 'butContreSonCamp', 'horsJeu', 'cornerEffectue', 'toucheEffectuee', + 'centreEffectue', + 'coupFrancEffectue', + 'sortieDeButEffectuee', 'penaltyEffectue', 'fauteSubie', 'fauteCommise', 'tacle', + 'uneTouche', 'gardienArret', + 'gardienDetournement', 'gardienArretTotal', 'cartonJaune1', 'cartonJaune2', + 'cartonRouge', 'tirZone', + 'directionPasse', 'positionMoyenne', 'possessionInd', 'zoneFauteSubie', + 'zoneFauteCommise', 'zoneTacle', + 'circuitPref'] + if teamHost['Players'] != 0: + for _ in hostPlayerSpam: + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'individuelle' + element_list.append(SubElement(tree.find(elementloc), 'joueur')) + children = [ + Element(str(ele)) + for ele in individuelleSUbElement + ] + element_list[-1].extend(children) + + # possessionZone + possession_zone_sub_element = ['A1', 'A2', 'A3', 'A4', 'B1', 'B2', 'B3', 'B4', 'C1', 'C2', 'C3', 'C4', + 'D1', 'D2', 'D3', 'D4', 'A1A4', 'B1C4', 'D1D4', 'A1D1', 'A2D2', 'A3D3', + 'A4D4', + 'A1B4', 'C1D4'] + for possessionZone_i in range(len(possession_zone_sub_element)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'possessionZone' + element_list.append(SubElement(tree.find(elementloc), possession_zone_sub_element[possessionZone_i])) + possession_zone_a1_d4_sub_element = ['pct', 'temps'] + elementloc += '/' + elementloc += possession_zone_sub_element[possessionZone_i] + for possessionZone_A1D4_i in range(len(possession_zone_a1_d4_sub_element)): + element_list.append( + SubElement(tree.find(elementloc), possession_zone_a1_d4_sub_element[possessionZone_A1D4_i])) + if possession_zone_a1_d4_sub_element[possessionZone_A1D4_i] == 'temps': + element_list[-1].text = '00:00' + + # possessionTemps + possession_temps_sub_element = ['tps_0_15', 'tps_15_30', 'tps_30_45', 'tps_45plus', 'tps_45_60', + 'tps_60_75', 'tps_75_90', 'tps_90plus', 'tps_0_90plus'] + for possessionTemps_i in range(len(possession_temps_sub_element)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'possessionTemps' + element_list.append(SubElement(tree.find(elementloc), possession_temps_sub_element[possessionTemps_i])) + temps_sub_element = ['pct', 'temps'] + elementloc += '/' + elementloc += possession_temps_sub_element[possessionTemps_i] + for TempsSubElement_i in range(len(temps_sub_element)): + element_list.append(SubElement(tree.find(elementloc), temps_sub_element[TempsSubElement_i])) + + # tirZone + tir_zone_sub_element = ['zone1', 'zone2', 'zone3', 'zone4', 'zone5', 'zone6', 'zone1_5'] + for tirZoneTemps_i in range(len(tir_zone_sub_element)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'tirZone' + element_list.append(SubElement(tree.find(elementloc), tir_zone_sub_element[tirZoneTemps_i])) + element_list[-1].text = str(0) + + # attaqueZone + attaque_zone_sub_element = ['nbGauche', 'nbMilieu', 'nbDroite', 'pctGauche', 'pctMilieu', 'pctDroite'] + for attaqueZone_i in range(len(attaque_zone_sub_element)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'attaqueZone' + element_list.append(SubElement(tree.find(elementloc), attaque_zone_sub_element[attaqueZone_i])) + if attaque_zone_sub_element[attaqueZone_i] == 'nbGauche' or attaque_zone_sub_element[ + attaqueZone_i] == 'nbMilieu' or attaque_zone_sub_element[attaqueZone_i] == 'nbDroite': + element_list[-1].text = str(0) + + # nbPassesParAttaque + nbPassesParAttaqueSubElement = ['haut', 'moyen', 'bas', 'pctHaut'] + for nbPassesParAttaque_i in range(len(nbPassesParAttaqueSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'nbPassesParAttaque' + element_list.append( + SubElement(tree.find(elementloc), nbPassesParAttaqueSubElement[nbPassesParAttaque_i])) + if nbPassesParAttaqueSubElement[nbPassesParAttaque_i] != 'pctHaut': + element_list[-1].text = str(0) + + # vitesseAttaque + vitesseAttaqueSubElement = ['haut', 'moyen', 'bas', 'pctHautParRapportAuxBallonsGagnes'] + for vitesseAttaque_i in range(len(vitesseAttaqueSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'vitesseAttaque' + element_list.append(SubElement(tree.find(elementloc), vitesseAttaqueSubElement[vitesseAttaque_i])) + if vitesseAttaqueSubElement[vitesseAttaque_i] != 'pctHautParRapportAuxBallonsGagnes': + element_list[-1].text = str(0) + # attaquesEtTirs + attaquesEtTirsSubElement = ['nbAttaque', 'nbAttaqueAvecTirCentre', 'nbAttaqueAvecTirSansCentre', + 'nbTirEnJeu', + 'nbTirRemiseEnJeu'] + for attaquesEtTirs_i in range(len(attaquesEtTirsSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'attaquesEtTirs' + element_list.append(SubElement(tree.find(elementloc), attaquesEtTirsSubElement[attaquesEtTirs_i])) + element_list[-1].text = str(0) + + # zoneRecuperation + zoneRecuperationSubElement = ['A1', 'A2', 'B1', 'B2', 'C1', 'C2', 'ligneRecuperation'] + for zoneRecuperation_i in range(len(zoneRecuperationSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'zoneRecuperation' + element_list.append(SubElement(tree.find(elementloc), zoneRecuperationSubElement[zoneRecuperation_i])) + element_list[-1].text = str(0) + + # vitesseRecuperation + vitesseRecuperationSubElement = ['nbBallonRecupereRapide', 'nbBallonRecupereMoyen', 'nbBallonRecupereBas', + 'pctBallonRapide', 'nbBallonRecupereRapideMenantAUneAttaqueRapide'] + for vitesseRecuperation_i in range(len(vitesseRecuperationSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'vitesseRecuperation' + element_list.append( + SubElement(tree.find(elementloc), vitesseRecuperationSubElement[vitesseRecuperation_i])) + if vitesseRecuperationSubElement[vitesseRecuperation_i] != 'pctBallonRapide': + element_list[-1].text = str(0) + + # zoneRecuperationRapide + # zoneRecuperationEnJeu + # zoneRecuperationAvecAttaqueRapide + zoneRecuperationA1C2SubElement = ['A1', 'A2', 'B1', 'B2', 'C1', 'C2'] + for zoneRecuperationA1C2_i in range(len(zoneRecuperationA1C2SubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'zoneRecuperationRapide' + element_list.append( + SubElement(tree.find(elementloc), zoneRecuperationA1C2SubElement[zoneRecuperationA1C2_i])) + element_list[-1].text = str(0) + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'zoneRecuperationEnJeu' + element_list.append( + SubElement(tree.find(elementloc), zoneRecuperationA1C2SubElement[zoneRecuperationA1C2_i])) + element_list[-1].text = str(0) + elementloc = './equipes/' + equipes_sub_element[ + i] + '/' + 'collective' + '/' + 'zoneRecuperationAvecAttaqueRapide' + element_list.append( + SubElement(tree.find(elementloc), zoneRecuperationA1C2SubElement[zoneRecuperationA1C2_i])) + element_list[-1].text = str(0) + + # zoneFauteSubie + # zoneFauteCommise + zoneFauteSubElement = ['A1', 'A2', 'A3', 'A4', 'B1', 'B2', 'B3', 'B4', 'C1', 'C2', 'C3', 'C4', 'D1', 'D2', + 'D3', + 'D4'] + for zoneFaute_i in range(len(zoneFauteSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'zoneFauteSubie' + element_list.append(SubElement(tree.find(elementloc), zoneFauteSubElement[zoneFaute_i])) + element_list[-1].text = str(0) + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'zoneFauteCommise' + element_list.append(SubElement(tree.find(elementloc), zoneFauteSubElement[zoneFaute_i])) + element_list[-1].text = str(0) + + # directionPasse + directionPasseSubElement = ['nbVersAvant', 'nbLaterale', 'nbVersArriere', 'pctVersAvant', 'pctLaterale', + 'pctVersArriere', 'pctVersAvantReussi', 'pctLateraleReussi', + 'pctVersArriereReussi'] + for directionPasse_i in range(len(directionPasseSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'directionPasse' + element_list.append(SubElement(tree.find(elementloc), directionPasseSubElement[directionPasse_i])) + if directionPasseSubElement[directionPasse_i] == 'nbVersAvant' or \ + directionPasseSubElement[directionPasse_i] == 'nbLaterale' or \ + directionPasseSubElement[directionPasse_i] == 'nbVersArriere': + element_list[-1].text = str(0) + + # centre + centreSubElement = ['nbGauche', 'nbDroite', 'pctGaucheReussi', 'pctDroiteReussi'] + for centre_i in range(len(centreSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'centre' + element_list.append(SubElement(tree.find(elementloc), centreSubElement[centre_i])) + if centreSubElement[centre_i] == 'nbGauche' or centreSubElement[centre_i] == 'nbDroite': + element_list[-1].text = str(0) + + # longueurPasse + longueurPasseSubElement = ['pctLong', 'pctMoyen', 'pctCourt'] + for longueurPasse_i in range(len(longueurPasseSubElement)): + elementloc = './equipes/' + equipes_sub_element[i] + '/' + 'collective' + '/' + 'longueurPasse' + element_list.append(SubElement(tree.find(elementloc), longueurPasseSubElement[longueurPasse_i])) + + PlayerLocRoot = ['./equipes/equipeA/individuelle/joueur', './equipes/equipeB/individuelle/joueur'] + individuelleTirzone = ['zone1', 'zone2', 'zone3', 'zone4', 'zone5', 'zone6', 'zone1_5'] + individuelleDirectionPasse = ['nbVersAvant', 'nbLaterale', 'nbVersArriere', 'pctVersAvant', 'pctLaterale', + 'pctVersArriere', 'pctVersAvantReussi', 'pctLateraleReussi', + 'pctVersArriereReussi'] + individuellePossessionInd = ['A1', 'A2', 'A3', 'A4', 'B1', 'B2', 'B3', 'B4', 'C1', 'C2', 'C3', 'C4', 'D1', 'D2', + 'D3', 'D4'] + for PlayerLoc in PlayerLocRoot: + player_list = tree.findall(PlayerLoc) + for player_i in range(len(player_list)): + children = [ + Element(str(ele)) + for ele in individuelleTirzone + ] + player_list[player_i].find('tirZone').extend(children) + children = [ + Element(str(ele)) + for ele in individuelleDirectionPasse + ] + player_list[player_i].find('directionPasse').extend(children) + children = [ + Element(str(ele)) + for ele in individuellePossessionInd + ] + player_list[player_i].find('possessionInd').extend(children) + children = [ + Element(str(ele)) + for ele in individuellePossessionInd + ] + player_list[player_i].find('zoneFauteSubie').extend(children) + children = [ + Element(str(ele)) + for ele in individuellePossessionInd + ] + player_list[player_i].find('zoneFauteCommise').extend(children) + children = [ + Element(str(ele)) + for ele in individuellePossessionInd + ] + player_list[player_i].find('zoneTacle').extend(children) + # if teamHost.get('Players') != 0 : + + # if teamGuest.get('Players') != 0 : + self.pretty_xml(statistiques, '\t', '\n') + + return tree + + def update_xml(self, tree): + next(tree.iter('eq1')).text = text_eq1 + next(tree.iter('eq2')).text = text_eq2 + + next(tree.iter('journee')).text = text_journee + next(tree.iter('competition')).text = text_competition + next(tree.iter('competition')).set('dateDebut', attrib1_competition) + next(tree.iter('competition')).set('dateFin', attrib2_competition) + next(tree.iter('date')).text = text_date + next(tree.iter('stade')).text = text_stade + next(tree.iter('heure')).text = text_heure + next(tree.iter('couleq1')).text = text_couleq1 + next(tree.iter('couleq2')).text = text_couleq2 + next(tree.iter('codematch')).text = text_codematch + next(tree.iter('codematch')).set('id', attrib1_codematch) + + next(tree.iter('tempsDeJeu')).text = text_tempsDeJeu + next(tree.iter('tempsEffectif')).text = text_tempsEffectif + next(tree.iter('statut')).text = text_statut + + # tree.find('./match/scoreA/miTemps').text = str(int_scoreA_miTemps) + tree.find('./match/scoreA/match').text = str(int_scoreA_match) + # tree.find('./match/scoreB/miTemps').text = str(int_scoreB_miTemps) + tree.find('./match/scoreB/match').text = str(int_scoreB_match) + + tree.find('./equipes/equipeA/collective/nomEquipe').set('rapportForce5Min', + str(int_equipeA_rapportForce5Min_attrib)) + tree.find('./equipes/equipeA/collective/nomEquipe').text = text_equipeA_rapportForce5Min + tree.find('./equipes/equipeA/collective/tempsPossession').text = text_equipeA_tempsPossession + tree.find('./equipes/equipeA/collective/pctPossession').text = str(int_equipeA_pctPossession) + tree.find('./equipes/equipeA/collective/ballonJoue').text = str(int_equipeA_ballonJoue) + tree.find('./equipes/equipeA/collective/ballonGagne').text = str(int_equipeA_ballonGagne) + tree.find('./equipes/equipeA/collective/ballonPerdu').text = str(int_equipeA_ballonPerdu) + tree.find('./equipes/equipeA/collective/passe').text = str(int_equipeA_passe) + tree.find('./equipes/equipeA/collective/passeReussie').text = str(int_equipeA_passeReussie) + tree.find('./equipes/equipeA/collective/pctPasseReussie').text = str(int_equipeA_pctPasseReussie) + tree.find('./equipes/equipeA/collective/occasion').text = str(int_equipeA_occasion) + tree.find('./equipes/equipeA/collective/tir').text = str(int_equipeA_tir) + tree.find('./equipes/equipeA/collective/tirCadre').text = str(int_equipeA_tirCadre) + tree.find('./equipes/equipeA/collective/tirNonCadre').text = str(int_equipeA_tirNonCadre) + tree.find('./equipes/equipeA/collective/pctTirsCadres').text = str(int_equipeA_pctTirsCadres) + tree.find('./equipes/equipeA/collective/but').text = str(int_equipeA_but) + tree.find('./equipes/equipeA/collective/butSurPenalty').text = str(int_equipeA_butSurPenalty) + tree.find('./equipes/equipeA/collective/butContreSonCamp').text = str(int_equipeA_butContreSonCamp) + tree.find('./equipes/equipeA/collective/horsJeu').text = str(int_equipeA_horsJeu) + tree.find('./equipes/equipeA/collective/cornerEffectue').text = str(int_equipeA_cornerEffectue) + tree.find('./equipes/equipeA/collective/toucheEffectuee').text = str(int_equipeA_toucheEffectuee) + tree.find('./equipes/equipeA/collective/centreEffectue').text = str(int_equipeA_centreEffectue) + tree.find('./equipes/equipeA/collective/coupFrancEffectue').text = str(int_equipeA_coupFrancEffectue) + tree.find('./equipes/equipeA/collective/sortieDeButEffectuee').text = str(int_equipeA_sortieDeButEffectuee) + tree.find('./equipes/equipeA/collective/penalty').text = str(int_equipeA_penalty) + tree.find('./equipes/equipeA/collective/fauteSubie').text = str(int_equipeA_fauteSubie) + tree.find('./equipes/equipeA/collective/fauteCommise').text = str(int_equipeA_fauteCommise) + tree.find('./equipes/equipeA/collective/tacle').text = str(int_equipeA_tacle) + tree.find('./equipes/equipeA/collective/cartonJaune').text = str(int_equipeA_cartonJaune) + tree.find('./equipes/equipeA/collective/cartonRouge').text = str(int_equipeA_cartonRouge) + tree.find('./equipes/equipeA/collective/entraineur').text = text_equipeA_entraineur + tree.find('./equipes/equipeA/collective/possessionTemps/tps_0_15/pct').text = str(teamHost.get('0_15_pct')) + tree.find('./equipes/equipeA/collective/possessionTemps/tps_15_30/pct').text = str(teamHost.get('15_30_pct')) + tree.find('./equipes/equipeA/collective/possessionTemps/tps_30_45/pct').text = str(teamHost.get('30_45_pct')) + tree.find('./equipes/equipeA/collective/possessionTemps/tps_45_60/pct').text = str(teamHost.get('45_60_pct')) + tree.find('./equipes/equipeA/collective/possessionTemps/tps_60_75/pct').text = str(teamHost.get('60_75_pct')) + tree.find('./equipes/equipeA/collective/possessionTemps/tps_75_90/pct').text = str(teamHost.get('75_90_pct')) + tree.find('./equipes/equipeA/collective/tirZone/zone1').text = str(teamHost.get('shots_area_one')) + tree.find('./equipes/equipeA/collective/tirZone/zone2').text = str(teamHost.get('shots_area_two')) + tree.find('./equipes/equipeA/collective/tirZone/zone3').text = str(teamHost.get('shots_area_three')) + tree.find('./equipes/equipeA/collective/tirZone/zone4').text = str(teamHost.get('shots_area_four')) + tree.find('./equipes/equipeA/collective/tirZone/zone5').text = str(teamHost.get('shots_area_five')) + tree.find('./equipes/equipeA/collective/tirZone/zone6').text = str(teamHost.get('shots_area_six')) + tree.find('./equipes/equipeA/collective/attaqueZone/nbGauche').text = str(teamHost.get('nbGauche')) + tree.find('./equipes/equipeA/collective/attaqueZone/nbMilieu').text = str(teamHost.get('nbMilieu')) + tree.find('./equipes/equipeA/collective/attaqueZone/nbDroite').text = str(teamHost.get('nbDroite')) + tree.find('./equipes/equipeA/collective/attaqueZone/pctGauche').text = str(teamHost.get('pctGauche')) + tree.find('./equipes/equipeA/collective/attaqueZone/pctMilieu').text = str(teamHost.get('pctMilieu')) + tree.find('./equipes/equipeA/collective/attaqueZone/pctDroite').text = str(teamHost.get('pctDroite')) + tree.find('./equipes/equipeA/collective/directionPasse/nbVersAvant').text = str(teamHost.get('nbVersAvant')) + tree.find('./equipes/equipeA/collective/directionPasse/nbLaterale').text = str(teamHost.get('nbLaterale')) + tree.find('./equipes/equipeA/collective/directionPasse/nbVersArriere').text = str(teamHost.get('nbVersArriere')) + tree.find('./equipes/equipeA/collective/directionPasse/pctVersAvant').text = str(teamHost.get('pctVersAvant')) + tree.find('./equipes/equipeA/collective/directionPasse/pctLaterale').text = str(teamHost.get('pctLaterale')) + tree.find('./equipes/equipeA/collective/directionPasse/pctVersArriere').text = str( + teamHost.get('pctVersArriere')) + tree.find('./equipes/equipeA/collective/longueurPasse/pctLong').text = str(teamHost.get('pctLong')) + tree.find('./equipes/equipeA/collective/longueurPasse/pctMoyen').text = str(teamHost.get('pctMoyen')) + tree.find('./equipes/equipeA/collective/longueurPasse/pctCourt').text = str(teamHost.get('pctCourt')) + + tree.find('./equipes/equipeB/collective/nomEquipe').set('rapportForce5Min', + str(int_equipeB_rapportForce5Min_attrib)) + tree.find('./equipes/equipeB/collective/nomEquipe').text = text_equipeB_rapportForce5Min + tree.find('./equipes/equipeB/collective/tempsPossession').text = text_equipeB_tempsPossession + tree.find('./equipes/equipeB/collective/pctPossession').text = str(int_equipeB_pctPossession) + tree.find('./equipes/equipeB/collective/ballonJoue').text = str(int_equipeB_ballonJoue) + tree.find('./equipes/equipeB/collective/ballonGagne').text = str(int_equipeB_ballonGagne) + tree.find('./equipes/equipeB/collective/ballonPerdu').text = str(int_equipeB_ballonPerdu) + tree.find('./equipes/equipeB/collective/passe').text = str(int_equipeB_passe) + tree.find('./equipes/equipeB/collective/passeReussie').text = str(int_equipeB_passeReussie) + tree.find('./equipes/equipeB/collective/pctPasseReussie').text = str(int_equipeB_pctPasseReussie) + tree.find('./equipes/equipeB/collective/occasion').text = str(int_equipeB_occasion) + tree.find('./equipes/equipeB/collective/tir').text = str(int_equipeB_tir) + tree.find('./equipes/equipeB/collective/tirCadre').text = str(int_equipeB_tirCadre) + tree.find('./equipes/equipeB/collective/tirNonCadre').text = str(int_equipeB_tirNonCadre) + tree.find('./equipes/equipeB/collective/pctTirsCadres').text = str(int_equipeB_pctTirsCadres) + tree.find('./equipes/equipeB/collective/but').text = str(int_equipeB_but) + tree.find('./equipes/equipeB/collective/butSurPenalty').text = str(int_equipeB_butSurPenalty) + tree.find('./equipes/equipeB/collective/butContreSonCamp').text = str(int_equipeB_butContreSonCamp) + tree.find('./equipes/equipeB/collective/horsJeu').text = str(int_equipeB_horsJeu) + tree.find('./equipes/equipeB/collective/cornerEffectue').text = str(int_equipeB_cornerEffectue) + tree.find('./equipes/equipeB/collective/toucheEffectuee').text = str(int_equipeB_toucheEffectuee) + tree.find('./equipes/equipeB/collective/centreEffectue').text = str(int_equipeB_centreEffectue) + tree.find('./equipes/equipeB/collective/coupFrancEffectue').text = str(int_equipeB_coupFrancEffectue) + tree.find('./equipes/equipeB/collective/sortieDeButEffectuee').text = str(int_equipeB_sortieDeButEffectuee) + tree.find('./equipes/equipeB/collective/penalty').text = str(int_equipeB_penalty) + tree.find('./equipes/equipeB/collective/fauteSubie').text = str(int_equipeB_fauteSubie) + tree.find('./equipes/equipeB/collective/fauteCommise').text = str(int_equipeB_fauteCommise) + tree.find('./equipes/equipeB/collective/tacle').text = str(int_equipeB_tacle) + tree.find('./equipes/equipeB/collective/cartonJaune').text = str(int_equipeB_cartonJaune) + tree.find('./equipes/equipeB/collective/cartonRouge').text = str(int_equipeB_cartonRouge) + tree.find('./equipes/equipeB/collective/entraineur').text = text_equipeB_entraineur + tree.find('./equipes/equipeB/collective/possessionTemps/tps_0_15/pct').text = str(teamGuest.get('0_15_pct')) + tree.find('./equipes/equipeB/collective/possessionTemps/tps_15_30/pct').text = str(teamGuest.get('15_30_pct')) + tree.find('./equipes/equipeB/collective/possessionTemps/tps_30_45/pct').text = str(teamGuest.get('30_45_pct')) + tree.find('./equipes/equipeB/collective/possessionTemps/tps_45_60/pct').text = str(teamGuest.get('45_60_pct')) + tree.find('./equipes/equipeB/collective/possessionTemps/tps_60_75/pct').text = str(teamGuest.get('60_75_pct')) + tree.find('./equipes/equipeB/collective/possessionTemps/tps_75_90/pct').text = str(teamGuest.get('75_90_pct')) + tree.find('./equipes/equipeB/collective/tirZone/zone1').text = str(teamGuest.get('shots_area_one')) + tree.find('./equipes/equipeB/collective/tirZone/zone2').text = str(teamGuest.get('shots_area_two')) + tree.find('./equipes/equipeB/collective/tirZone/zone3').text = str(teamGuest.get('shots_area_three')) + tree.find('./equipes/equipeB/collective/tirZone/zone4').text = str(teamGuest.get('shots_area_four')) + tree.find('./equipes/equipeB/collective/tirZone/zone5').text = str(teamGuest.get('shots_area_five')) + tree.find('./equipes/equipeB/collective/tirZone/zone6').text = str(teamGuest.get('shots_area_six')) + tree.find('./equipes/equipeB/collective/attaqueZone/nbGauche').text = str(teamGuest.get('nbGauche')) + tree.find('./equipes/equipeB/collective/attaqueZone/nbMilieu').text = str(teamGuest.get('nbMilieu')) + tree.find('./equipes/equipeB/collective/attaqueZone/nbDroite').text = str(teamGuest.get('nbDroite')) + tree.find('./equipes/equipeB/collective/attaqueZone/pctGauche').text = str(teamGuest.get('pctGauche')) + tree.find('./equipes/equipeB/collective/attaqueZone/pctMilieu').text = str(teamGuest.get('pctMilieu')) + tree.find('./equipes/equipeB/collective/attaqueZone/pctDroite').text = str(teamGuest.get('pctDroite')) + tree.find('./equipes/equipeB/collective/directionPasse/nbVersAvant').text = str(teamGuest.get('nbVersAvant')) + tree.find('./equipes/equipeB/collective/directionPasse/nbLaterale').text = str(teamGuest.get('nbLaterale')) + tree.find('./equipes/equipeB/collective/directionPasse/nbVersArriere').text = str( + teamGuest.get('nbVersArriere')) + tree.find('./equipes/equipeB/collective/directionPasse/pctVersAvant').text = str(teamGuest.get('pctVersAvant')) + tree.find('./equipes/equipeB/collective/directionPasse/pctLaterale').text = str(teamGuest.get('pctLaterale')) + tree.find('./equipes/equipeB/collective/directionPasse/pctVersArriere').text = str( + teamGuest.get('pctVersArriere')) + tree.find('./equipes/equipeB/collective/longueurPasse/pctLong').text = str(teamGuest.get('pctLong')) + tree.find('./equipes/equipeB/collective/longueurPasse/pctMoyen').text = str(teamGuest.get('pctMoyen')) + tree.find('./equipes/equipeB/collective/longueurPasse/pctCourt').text = str(teamGuest.get('pctCourt')) + + player_loc_root = ['./equipes/equipeA/individuelle/joueur', './equipes/equipeB/individuelle/joueur'] + for PlayerLoc in player_loc_root: + player_list = tree.findall(PlayerLoc) + if PlayerLoc == player_loc_root[0]: + player_team = hostPlayerSpam + else: + player_team = guestPlayerSpam + + for player_i in range(len(player_list)): + if player_i >= len(player_team): + continue + player_list[player_i].find('nom').text = player_team[player_i].get('player_name') + player_list[player_i].find('nom').set('id', str(player_team[player_i].get('id_player'))) + player_list[player_i].find('tempsDePossession').text = player_team[player_i].get('possession_time') + player_list[player_i].find('numeroMaillot').text = player_team[player_i].get('football_number') + spam_position = ['coach', 'Gardien', 'Defenseur', 'Milieu', 'Attaquant'] + player_list[player_i].find('poste').text = spam_position[ + player_team[player_i].get('football_position') - 1] + player_list[player_i].find('bloc').text = spam_position[ + player_team[player_i].get('football_position') - 1] + player_list[player_i].find('ballonJoue').text = str(player_team[player_i].get('balls_played')) + player_list[player_i].find('ballonGagne').text = str(player_team[player_i].get('possessions_gained')) + player_list[player_i].find('ballonPerdu').text = str(player_team[player_i].get('possessions_lost')) + player_list[player_i].find('passe').text = str(player_team[player_i].get('passes')) + player_list[player_i].find('passeReussie').text = str(player_team[player_i].get('successful_passes')) + player_list[player_i].find('pctPasseReussie').text = str( + player_team[player_i].get('successful_passes_p')) + player_list[player_i].find('occasion').text = str(player_team[player_i].get('chances')) + player_list[player_i].find('tir').text = str(player_team[player_i].get('shots')) + player_list[player_i].find('tirCadre').text = str(player_team[player_i].get('shots_on_target')) + player_list[player_i].find('tirNonCadre').text = str(player_team[player_i].get('shot_off_target')) + player_list[player_i].find('pctTirCadre').text = str(player_team[player_i].get('shots_on_target_p')) + player_list[player_i].find('butMarque').text = str(player_team[player_i].get('goal_normal')) + player_list[player_i].find('butSurPenalty').text = str(player_team[player_i].get('goal_penalty')) + player_list[player_i].find('butContreSonCamp').text = str(player_team[player_i].get('own_goal')) + player_list[player_i].find('horsJeu').text = str(player_team[player_i].get('offside')) + player_list[player_i].find('cornerEffectue').text = str(player_team[player_i].get('corner')) + player_list[player_i].find('toucheEffectuee').text = str(player_team[player_i].get('throw_in')) + player_list[player_i].find('centreEffectue').text = str(player_team[player_i].get('crosses')) + player_list[player_i].find('fauteSubie').text = str(player_team[player_i].get('fouls_received')) + player_list[player_i].find('fauteCommise').text = str(player_team[player_i].get('fouls_commited')) + player_list[player_i].find('cartonJaune1').text = str(player_team[player_i].get('yellow_card1st')) + player_list[player_i].find('cartonJaune2').text = str(player_team[player_i].get('yellow_card2nd')) + player_list[player_i].find('cartonRouge').text = str(player_team[player_i].get('red_card_time')) + tir_zone_root = player_list[player_i].find('tirZone') + tir_zone_root.find('zone1').text = str(player_team[player_i].get('tirZone_zone1')) + tir_zone_root.find('zone2').text = str(player_team[player_i].get('tirZone_zone2')) + tir_zone_root.find('zone3').text = str(player_team[player_i].get('tirZone_zone3')) + tir_zone_root.find('zone4').text = str(player_team[player_i].get('tirZone_zone4')) + tir_zone_root.find('zone5').text = str(player_team[player_i].get('tirZone_zone5')) + tir_zone_root.find('zone6').text = str(player_team[player_i].get('tirZone_zone6')) + direction_passe_root = player_list[player_i].find('directionPasse') + direction_passe_root.find('nbVersAvant').text = str( + player_team[player_i].get('directionPasses_nbVersAvant')) + direction_passe_root.find('nbLaterale').text = str( + player_team[player_i].get('directionPasses_nbLaterale')) + direction_passe_root.find('nbVersArriere').text = str( + player_team[player_i].get('directionPasses_nbVersArriere')) + direction_passe_root.find('pctVersAvant').text = str( + player_team[player_i].get('directionPasses_pctVersAvant')) + direction_passe_root.find('pctLaterale').text = str( + player_team[player_i].get('directionPasses_pctLaterale')) + direction_passe_root.find('pctVersArriere').text = str( + player_team[player_i].get('directionPasses_pctVersArriere')) + possession_ind_root = player_list[player_i].find('possessionInd') + possession_ind_root.find('A1').text = str(player_team[player_i].get('possessionInd_A1')) + possession_ind_root.find('A2').text = str(player_team[player_i].get('possessionInd_A2')) + possession_ind_root.find('A3').text = str(player_team[player_i].get('possessionInd_A3')) + possession_ind_root.find('A4').text = str(player_team[player_i].get('possessionInd_A4')) + possession_ind_root.find('B1').text = str(player_team[player_i].get('possessionInd_B1')) + possession_ind_root.find('B2').text = str(player_team[player_i].get('possessionInd_B2')) + possession_ind_root.find('B3').text = str(player_team[player_i].get('possessionInd_B3')) + possession_ind_root.find('B4').text = str(player_team[player_i].get('possessionInd_B4')) + possession_ind_root.find('C1').text = str(player_team[player_i].get('possessionInd_C1')) + possession_ind_root.find('C2').text = str(player_team[player_i].get('possessionInd_C2')) + possession_ind_root.find('C3').text = str(player_team[player_i].get('possessionInd_C3')) + possession_ind_root.find('C4').text = str(player_team[player_i].get('possessionInd_C4')) + possession_ind_root.find('D1').text = str(player_team[player_i].get('possessionInd_D1')) + possession_ind_root.find('D2').text = str(player_team[player_i].get('possessionInd_D2')) + possession_ind_root.find('D3').text = str(player_team[player_i].get('possessionInd_D3')) + possession_ind_root.find('D4').text = str(player_team[player_i].get('possessionInd_D4')) + + def fetch_data_from_database(self, match_id, db): + global match_info, teamHost, hostPlayerSpam, teamGuest, guestPlayerSpam + + cursor = db.cursor(cursor=pymysql.cursors.DictCursor) + # t_match + match_sql = """SELECT competitionId, start_time, home_background, visiting_background, matchId, home_team, + homeScore, guestScore + FROM t_match + WHERE id_match=%s;""" + # t_competition + competition_sql = """SELECT zhName + FROM t_competition + WHERE id=%s;""" + # d_team_statistics + match_statistic_sql = """SELECT * + FROM d_team_statistics + WHERE match_id=%s;""" + # t_team_base + team_base_sql = """SELECT letter_code, teamName, home, head_coach + FROM t_team_base + WHERE teamid=%s;""" + # t_match_segment + current_segment_sql = """SELECT COUNT(*) + FROM t_match_segment + WHERE start_position is not NULL and id_match=%s;""" + # t_match_segment + current_segment_id_sql = """SELECT id_match_segment + FROM t_match_segment + WHERE start_position is not NULL and id_match=%s + order by id_match_segment desc limit 1;""" + # t_match_event + current_segment_time_sql = """SELECT time_point + FROM t_match_event + WHERE id_match_segment = %s + order by time_point desc limit 1;""" + + # t_match_lineup + match_player_sql = """SELECT id_player, player_name, football_number, football_position + FROM t_match_lineup + where id_match=%s and team=%s and match_progress=1;""" + + # d_player_statistics + player_statistics_sql = """SELECT * + FROM d_player_statistics + where match_id=%s and player_id=%s;""" + + sql = current_segment_sql % (str(match_id)) + + cursor.execute(sql) + result = cursor.fetchall() + match_info['segment'] = result[0].get('COUNT(*)') + + sql = current_segment_id_sql % (str(match_id)) + cursor.execute(sql) + result = cursor.fetchall() + match_info['segment_id'] = result[0].get('id_match_segment') + + sql = current_segment_time_sql % (str(match_info['segment_id'])) + cursor.execute(sql) + result = cursor.fetchall() + seg_sec = int(result[0].get('time_point')) / 1000 + seg_min = int(seg_sec / 60) + seg_sec = int(seg_sec - seg_min * 60) + if match_info['segment'] == 4: + seg_min = seg_min + 90 + 15 + elif match_info['segment'] == 3: + seg_min = seg_min + 90 + elif match_info['segment'] == 2: + seg_min = seg_min + 45 + match_info['match_time'] = str(seg_min) + ':' + str(seg_sec).rjust(2, '0') + + sql = match_sql % (str(match_id)) + cursor.execute(sql) + result = cursor.fetchall() + homt_team_id = result[0].get('home_team') + match_info['match_id'] = result[0].get('matchId') + competition_Id = int(result[0].get('competitionId')) + matchObj = re.match(r'(.*)-(.*)-(.*) (.*):(.*):.*', str(result[0].get('start_time'))) + match_info['date'] = matchObj.group(3) + '/' + matchObj.group(2) + '/' + matchObj.group(1) + match_info['heure'] = matchObj.group(4) + ':' + matchObj.group(5) + teamHost['background'] = result[0].get('home_background') + teamGuest['background'] = result[0].get('visiting_background') + teamHost['goal'] = result[0].get('homeScore') + teamGuest['goal'] = result[0].get('guestScore') + if teamHost.get('background'): + teamHost['background'] = '#' + str(hex(int(teamHost.get('background')) & 0xFFFFFFFF)).lstrip('0x').upper() + if teamGuest.get('background'): + teamGuest['background'] = '#' + str(hex(int(teamGuest.get('background')) & 0xFFFFFFFF)).lstrip('0x').upper() + + sql = competition_sql % (str(competition_Id)) + cursor.execute(sql) + result = cursor.fetchall() + match_info['competition_name'] = result[0].get('zhName') + + sql = match_statistic_sql % (str(match_id)) + cursor.execute(sql) + result = cursor.fetchall() + # d_team_statistic 中是按照teamid大小排序，不是主队在前，需要识别一下 + if result[0].get('team_id') == homt_team_id: + spam_team = [teamHost, teamGuest] + else: + spam_team = [teamGuest, teamHost] + match_info['net_game_time'] = self.GetTimeString(result[0].get('net_game_time')) + for i in range(len(result)): + field = result[i] + spam_team[i]['team_id'] = int(field.get('team_id')) + possession_sec = int(field.get('possession_time')) / 1000 + spam_team[i]['possession_seconds'] = possession_sec + possession_min = int(possession_sec / 60) + possession_sec = int(possession_sec - possession_min * 60) + spam_team[i]['possession_duration'] = str(possession_min) + ':' + str(possession_sec) + spam_team[i]['possession'] = int(field.get('possession') * 100) + spam_team[i]['balls_played'] = int(field.get('balls_played')) + spam_team[i]['possessions_gained'] = int(field.get('possessions_gained')) + spam_team[i]['possessions_lost'] = int(field.get('possessions_lost')) + spam_team[i]['passes'] = int(field.get('passes')) + spam_team[i]['successful_passes'] = int(field.get('successful_passes')) + spam_team[i]['successful_passes_p'] = int(100 * field.get('successful_passes_p')) + spam_team[i]['chances'] = int(field.get('chances')) + spam_team[i]['shots'] = int(field.get('shots')) + spam_team[i]['shots_on_target'] = int(field.get('shots_on_target')) + spam_team[i]['shot_off_target'] = int(field.get('shot_off_target')) + spam_team[i]['shots_on_target_p'] = int(100 * field.get('shots_on_target_p')) + spam_team[i]['goal_normal'] = int(field.get('goal_normal')) + spam_team[i]['goal_penalty'] = int(field.get('goal_penalty')) + spam_team[i]['goal_sur_penalty'] = int(field.get('goal_sur_penalty')) + spam_team[i]['own_goal'] = int(field.get('own_goal')) + spam_team[i]['offside'] = int(field.get('offside')) + spam_team[i]['corner'] = int(field.get('corner')) + spam_team[i]['throw_in'] = int(field.get('throw_in')) + spam_team[i]['fouls_received'] = int(field.get('fouls_received')) + spam_team[i]['fouls_commited'] = int(field.get('fouls_commited')) + spam_team[i]['yellow_cards'] = int(field.get('yellow_cards')) + spam_team[i]['red_cards'] = int(field.get('red_cards')) + spam_team[i]['crosses'] = int(field.get('crosses')) + spam_team[i]['0_15_pct'] = int(field.get('possession_first_quarter') * 100) + spam_team[i]['15_30_pct'] = int(field.get('possession_secend_quarter') * 100) + spam_team[i]['30_45_pct'] = int(field.get('possession_third_quarter') * 100) + spam_team[i]['45_60_pct'] = int(field.get('possession_fourth_quarter') * 100) + spam_team[i]['60_75_pct'] = int(field.get('possession_fifth_quarter') * 100) + spam_team[i]['75_90_pct'] = int(field.get('possession_sixth_quarter') * 100) + spam_team[i]['shots_area_one'] = int(field.get('shots_area_one')) + spam_team[i]['shots_area_two'] = int(field.get('shots_area_two')) + spam_team[i]['shots_area_three'] = int(field.get('shots_area_three')) + spam_team[i]['shots_area_four'] = int(field.get('shots_area_four')) + spam_team[i]['shots_area_five'] = int(field.get('shots_area_five')) + spam_team[i]['shots_area_six'] = int(field.get('shots_area_six')) + spam_team[i]['nbGauche'] = int(field.get('final_third_entries_left')) + spam_team[i]['nbMilieu'] = int(field.get('final_third_entries_medium')) + spam_team[i]['nbDroite'] = int(field.get('final_third_entries_right')) + spam_team[i]['pctGauche'] = int(field.get('final_third_entries_left_p') * 100) + spam_team[i]['pctMilieu'] = int(field.get('final_third_entries_medium_p') * 100) + spam_team[i]['pctDroite'] = int(field.get('final_third_entries_right_p') * 100) + spam_team[i]['nbVersAvant'] = int(field.get('forward_passes')) + spam_team[i]['nbLaterale'] = int(field.get('sideways_passes')) + spam_team[i]['nbVersArriere'] = int(field.get('backward_passes')) + spam_team[i]['pctVersAvant'] = int(field.get('forward_passes_p') * 100) + spam_team[i]['pctLaterale'] = int(field.get('sideways_passes_p') * 100) + spam_team[i]['pctVersArriere'] = int(field.get('backward_passes_p') * 100) + spam_team[i]['long_passes'] = int(field.get('long_passes')) + spam_team[i]['medium_passes'] = int(field.get('medium_passes')) + spam_team[i]['short_passes'] = int(field.get('short_passes')) + if spam_team[i]['passes'] != 0: + spam_team[i]['pctLong'] = int(spam_team[i]['long_passes'] / spam_team[i]['passes'] * 100) + spam_team[i]['pctMoyen'] = int(spam_team[i]['medium_passes'] / spam_team[i]['passes'] * 100) + spam_team[i]['pctCourt'] = int(spam_team[i]['short_passes'] / spam_team[i]['passes'] * 100) + + for i in range(len(spam_team)): + sql = team_base_sql % (str(spam_team[i]['team_id'])) + cursor.execute(sql) + result = cursor.fetchall() + for field in result: + spam_team[i]['letter_code'] = field.get('letter_code') + spam_team[i]['team_name'] = field.get('teamName') + spam_team[i]['stade'] = field.get('home') + spam_team[i]['head_coach'] = field.get('head_coach') + + for HostGuest_letter in ['1', '2']: + sql = match_player_sql % (str(match_id), HostGuest_letter) + cursor.execute(sql) + result = cursor.fetchall() + for field in result: + individual = {'id_player': int(field.get('id_player')), 'player_name': str(field.get('player_name')), + 'football_number': str(field.get('football_number')), + 'football_position': int(field.get('football_position'))} + sql = player_statistics_sql % (str(match_id), str(individual['id_player'])) + cursor.execute(sql) + result = cursor.fetchall() + if result: + seg_sec = int(result[0].get('possession_time')) / 1000 + seg_min = int(seg_sec / 60) + seg_sec = int(seg_sec - seg_min * 60) + individual['possession_time'] = str(seg_min) + ':' + str(seg_sec).rjust(2, '0') + individual['balls_played'] = int(result[0].get('balls_played')) + individual['possessions_gained'] = int(result[0].get('possessions_gained')) + individual['possessions_lost'] = int(result[0].get('possessions_lost')) + individual['passes'] = int(result[0].get('passes')) + individual['successful_passes'] = int(result[0].get('successful_passes')) + individual['successful_passes_p'] = int(result[0].get('successful_passes_p') * 100) + individual['chances'] = int(result[0].get('chances')) + individual['shots'] = int(result[0].get('shots')) + individual['shots_on_target'] = int(result[0].get('shots_on_target')) + individual['shot_off_target'] = int(result[0].get('shot_off_target')) + individual['shots_on_target_p'] = int(result[0].get('shots_on_target_p') * 100) + individual['goal_normal'] = int(result[0].get('goal_normal')) + individual['goal_penalty'] = int(result[0].get('goal_penalty')) + individual['own_goal'] = int(result[0].get('own_goal')) + individual['offside'] = int(result[0].get('offside')) + individual['corner'] = int(result[0].get('corner')) + individual['throw_in'] = int(result[0].get('throw_in')) + individual['crosses'] = int(result[0].get('crosses')) + individual['fouls_received'] = int(result[0].get('fouls_received')) + individual['fouls_commited'] = int(result[0].get('fouls_commited')) + individual['yellow_card1st'] = self.GetTimeString(int(result[0].get('yellow_card1st'))) + individual['yellow_card2nd'] = self.GetTimeString(int(result[0].get('yellow_card2nd'))) + individual['red_card_time'] = self.GetTimeString(int(result[0].get('red_card_time'))) + individual['tirZone_zone1'] = int(result[0].get('shots_area_one')) + individual['tirZone_zone2'] = int(result[0].get('shots_area_two')) + individual['tirZone_zone3'] = int(result[0].get('shots_area_three')) + individual['tirZone_zone4'] = int(result[0].get('shots_area_four')) + individual['tirZone_zone5'] = int(result[0].get('shots_area_five')) + individual['tirZone_zone6'] = int(result[0].get('shots_area_six')) + individual['directionPasses_nbVersAvant'] = int(result[0].get('forward_passes')) + individual['directionPasses_nbLaterale'] = int(result[0].get('sideways_passes')) + individual['directionPasses_nbVersArriere'] = int(result[0].get('backward_passes')) + individual['directionPasses_pctVersAvant'] = int(result[0].get('forward_passes_p') * 100) + individual['directionPasses_pctLaterale'] = int(result[0].get('sideways_passes_p') * 100) + individual['directionPasses_pctVersArriere'] = int(result[0].get('backward_passes_p') * 100) + individual['possessionInd_A1'] = int(result[0].get('possessions_area_a1')) + individual['possessionInd_A2'] = int(result[0].get('possessions_area_a2')) + individual['possessionInd_A3'] = int(result[0].get('possessions_area_a3')) + individual['possessionInd_A4'] = int(result[0].get('possessions_area_a4')) + individual['possessionInd_B1'] = int(result[0].get('possessions_area_b1')) + individual['possessionInd_B2'] = int(result[0].get('possessions_area_b2')) + individual['possessionInd_B3'] = int(result[0].get('possessions_area_b3')) + individual['possessionInd_B4'] = int(result[0].get('possessions_area_b4')) + individual['possessionInd_C1'] = int(result[0].get('possessions_area_c1')) + individual['possessionInd_C2'] = int(result[0].get('possessions_area_c2')) + individual['possessionInd_C3'] = int(result[0].get('possessions_area_c3')) + individual['possessionInd_C4'] = int(result[0].get('possessions_area_c4')) + individual['possessionInd_D1'] = int(result[0].get('possessions_area_d1')) + individual['possessionInd_D2'] = int(result[0].get('possessions_area_d2')) + individual['possessionInd_D3'] = int(result[0].get('possessions_area_d3')) + individual['possessionInd_D4'] = int(result[0].get('possessions_area_d4')) + if HostGuest_letter == '1': + hostPlayerSpam.append(individual) + else: + guestPlayerSpam.append(individual) + # 主队球员 + teamHost['Players'] = len(hostPlayerSpam) + # print('HostPlayers:%d\n'%(len(HostplayerSpam)),HostplayerSpam,'\n') + # 客队球员 + teamGuest['Players'] = len(guestPlayerSpam) + # print('GuestPlayers:%d\n'%(len(GuestplayerSpam)),GuestplayerSpam,'\n') + + db.close() + + # print('match_id: ', match_id) + # print(match_info) + # print('Host:', teamHost) + # print('Guest:', teamGuest) + global text_eq1, text_eq2, text_competition, attrib1_competition, attrib2_competition, text_date, text_stade, \ + text_heure, text_couleq1, text_couleq2, attrib1_codematch, text_codematch, text_tempsDeJeu, text_tempsEffectif, \ + int_scoreA_match, int_scoreB_match, text_equipeA_rapportForce5Min, text_equipeA_tempsPossession, \ + text_equipeB_rapportForce5Min, text_equipeB_tempsPossession, int_equipeA_pctPossession, int_equipeB_pctPossession, \ + int_equipeA_ballonJoue, int_equipeA_ballonGagne, int_equipeA_ballonPerdu, int_equipeB_ballonJoue, \ + int_equipeB_ballonGagne, int_equipeB_ballonPerdu, int_equipeA_passe, int_equipeA_passeReussie, \ + int_equipeA_pctPasseReussie, int_equipeB_passe, int_equipeB_passeReussie, int_equipeB_pctPasseReussie, \ + int_equipeA_occasion, int_equipeB_occasion, int_equipeA_tir, int_equipeA_tirCadre, int_equipeA_tirNonCadre, \ + int_equipeA_pctTirsCadres, int_equipeB_tir, int_equipeB_tirCadre, int_equipeB_tirNonCadre, int_equipeB_pctTirsCadres, \ + int_equipeA_but, int_equipeA_butSurPenalty, int_equipeA_butContreSonCamp, int_equipeB_but, int_equipeB_butSurPenalty, \ + int_equipeB_butContreSonCamp, int_equipeA_horsJeu, int_equipeB_horsJeu, int_equipeA_cornerEffectue, \ + int_equipeB_cornerEffectue, int_equipeA_toucheEffectuee, int_equipeB_toucheEffectuee, int_equipeA_penalty, \ + int_equipeB_penalty, int_equipeA_fauteSubie, int_equipeA_fauteCommise, int_equipeB_fauteSubie, \ + int_equipeB_fauteCommise, int_equipeA_cartonJaune, int_equipeA_cartonRouge, int_equipeB_cartonJaune, \ + int_equipeB_cartonRouge, text_equipeA_entraineur, text_equipeB_entraineur, int_equipeA_centreEffectue, \ + int_equipeB_centreEffectue + + text_eq1 = teamHost.get('team_name') + text_eq2 = teamGuest.get('team_name') + if teamHost.get('head_coach'): + text_equipeA_entraineur = teamHost.get('head_coach') + if teamGuest.get('head_coach'): + text_equipeB_entraineur = teamGuest.get('head_coach') + text_competition = match_info.get('competition_name') + attrib1_competition = '01/01/2020' + attrib2_competition = '31/12/2020' + text_date = match_info.get('date') + text_stade = teamHost.get('stade') + text_heure = match_info['heure'] + text_couleq1 = teamHost.get('background') + text_couleq2 = teamGuest.get('background') + attrib1_codematch = str(match_info['match_id']) + + text_codematch = teamHost.get('letter_code') + '-' + teamGuest.get('letter_code') + \ + '-' if teamHost.get('letter_code') is not None and teamGuest.get('letter_code') is not None else '' + matchObj.group(3) + matchObj.group(2) + str(int(matchObj.group(1)) - 2000) + '-' + str( + match_info['segment']) + text_tempsDeJeu = match_info['match_time'] + text_tempsEffectif = match_info['net_game_time'] + int_scoreA_match = teamHost.get('goal') + int_scoreB_match = teamGuest.get('goal') + text_equipeA_rapportForce5Min = teamHost.get('team_name') + text_equipeA_tempsPossession = teamHost.get('possession_duration') + text_equipeB_rapportForce5Min = teamGuest.get('team_name') + text_equipeB_tempsPossession = teamGuest.get('possession_duration') + int_equipeA_pctPossession = teamHost.get('possession') + int_equipeB_pctPossession = teamGuest.get('possession') + int_equipeA_ballonJoue = teamHost.get('balls_played') + int_equipeA_ballonGagne = teamHost.get('possessions_gained') + int_equipeA_ballonPerdu = teamHost.get('possessions_lost') + int_equipeB_ballonJoue = teamGuest.get('balls_played') + int_equipeB_ballonGagne = teamGuest.get('possessions_gained') + int_equipeB_ballonPerdu = teamGuest.get('possessions_lost') + int_equipeA_passe = teamHost.get('passes') + int_equipeA_passeReussie = teamHost.get('successful_passes') + int_equipeA_pctPasseReussie = teamHost.get('successful_passes_p') + int_equipeB_passe = teamGuest.get('passes') + int_equipeB_passeReussie = teamGuest.get('successful_passes') + int_equipeB_pctPasseReussie = teamGuest.get('successful_passes_p') + int_equipeA_occasion = teamHost.get('chances') + int_equipeB_occasion = teamGuest.get('chances') + int_equipeA_tir = teamHost.get('shots') + int_equipeA_tirCadre = teamHost.get('shots_on_target') + int_equipeA_tirNonCadre = teamHost.get('shot_off_target') + int_equipeA_pctTirsCadres = teamHost.get('shots_on_target_p') + int_equipeB_tir = teamGuest.get('shots') + int_equipeB_tirCadre = teamGuest.get('shots_on_target') + int_equipeB_tirNonCadre = teamGuest.get('shot_off_target') + int_equipeB_pctTirsCadres = teamGuest.get('shots_on_target_p') + int_equipeA_but = teamHost.get('goal_normal') + int_equipeA_butSurPenalty = teamHost.get('goal_sur_penalty') + int_equipeA_butContreSonCamp = teamHost.get('own_goal') + int_equipeB_but = teamGuest.get('goal_normal') + int_equipeB_butSurPenalty = teamGuest.get('goal_sur_penalty') + int_equipeB_butContreSonCamp = teamGuest.get('own_goal') + int_equipeA_horsJeu = teamHost.get('offside') + int_equipeB_horsJeu = teamGuest.get('offside') + int_equipeA_cornerEffectue = teamHost.get('corner') + int_equipeB_cornerEffectue = teamGuest.get('corner') + int_equipeA_toucheEffectuee = teamHost.get('throw_in') + int_equipeB_toucheEffectuee = teamGuest.get('throw_in') + int_equipeA_penalty = teamHost.get('goal_penalty') + int_equipeB_penalty = teamGuest.get('goal_penalty') + int_equipeA_fauteSubie = teamHost.get('fouls_received') + int_equipeA_fauteCommise = teamHost.get('fouls_commited') + int_equipeB_fauteSubie = teamGuest.get('fouls_received') + int_equipeB_fauteCommise = teamGuest.get('fouls_commited') + int_equipeA_cartonJaune = teamHost.get('yellow_cards') + int_equipeA_cartonRouge = teamHost.get('red_cards') + int_equipeB_cartonJaune = teamGuest.get('yellow_cards') + int_equipeB_cartonRouge = teamGuest.get('red_cards') + int_equipeA_centreEffectue = teamHost.get('crosses') + int_equipeB_centreEffectue = teamGuest.get('crosses') + + def clean_list(self): + match_info.clear() + teamHost.clear() + hostPlayerSpam.clear() + teamGuest.clear() + guestPlayerSpam.clear() + teamHost['Players'] = 0 + teamGuest['Players'] = 0 diff --git a/processor/ipynb/data.csv b/processor/ipynb/data.csv new file mode 100644 index 0000000..7a2e496 --- /dev/null +++ b/processor/ipynb/data.csv @@ -0,0 +1,1997 @@ +id_match_event,id_index,id_match_segment,event_index,time_point,player1,player2,player1_teamID,player2_teamID,pos_x,pos_y,qualif,challenge,s,event_subtype,goal_posx,goal_posy,background,foreground,shot_dir,match_progress,left_team,is_possessions_lost,is_possessions_gained,duration +1321.0,0.0,1.0,1.0,296.0,400,,14157.0,0.0,-24.648,-34.872,2.0,0.0,0.0,0.0,0.0,0.0,-1.0,-16776961.0,0.0,1.0,14157.0,False,True,1309.0 +1322.0,0.0,1.0,0.0,1605.0,410,,14157.0,0.0,-591.549,-592.82,2.0,0.0,0.0,0.0,0.0,0.0,-1.0,-16776961.0,0.0,1.0,14157.0,False,False,201.0 +1323.0,0.0,1.0,1.0,1806.0,410,,14157.0,0.0,-2933.099,1115.897,2.0,0.0,0.0,0.0,0.0,0.0,-1.0,-16776961.0,0.0,1.0,14157.0,True,False,2817.0 +1324.0,0.0,1.0,15.0,4623.0,70,,14151.0,0.0,4140.845,-2441.026,3.0,0.0,0.0,0.0,0.0,0.0,-1.0,-65536.0,0.0,1.0,14157.0,False,True,1709.0 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"initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/processor/processor.py b/processor/processor.py new file mode 100644 index 0000000..0db4a40 --- /dev/null +++ b/processor/processor.py @@ -0,0 +1,3128 @@ +import numpy as np +import pandas as pd +from google.protobuf.struct_pb2 import ListValue + +from server import process_pb2 +import warnings +warnings.filterwarnings('ignore') + +# 忽略警告 +pd.set_option('mode.chained_assignment', None) +# 显示所有列 +pd.set_option('display.max_columns', None) +# 显示所有行 +pd.set_option('display.max_rows', None) +# 设置value的显示长度为100，默认为50 +pd.set_option('max_colwidth', 100) +pd.set_option('display.width', 2000) + + +class Processor: + + def __init__(self, event, home_team_id, visiting_team_id, names): + self.event = event + self.home_team_id = home_team_id + self.visiting_team_id = visiting_team_id + values = [] + for value in event.values: + v = value.list_value.values + y = [ + v[0].number_value, + v[1].number_value, + v[2].number_value, + v[3].number_value, + v[4].number_value, + v[5].string_value, + v[6].string_value, + v[7].number_value, + v[8].number_value, + v[9].number_value, + v[10].number_value, + v[11].number_value, + v[12].number_value, + v[13].number_value, + v[14].number_value, + v[15].number_value, + v[16].number_value, + v[17].number_value, + v[18].number_value, + v[19].number_value, + v[20].number_value, + v[21].number_value, + ] + values.append(y) + + self.df = pd.DataFrame(values, columns=list(names)) + + def run_team_statistics(self): + df = self.df + home_team_id = self.home_team_id + visiting_team_id = self.visiting_team_id + # 球权转移 + lost = df['player1_teamID'] / df['player1_teamID'].shift(-1) + gained = df['player1_teamID'] / df['player1_teamID'].shift(1) + df['is_possessions_lost'] = (lost != np.nan) & (lost != np.inf) & (lost != 1) + df['is_possessions_gained'] = (gained != np.nan) & (gained != np.inf) & (gained != 1) + # 事件时间点的时间差 + df['duration'] = df['time_point'].diff(-1) + df.loc[df['duration'] > 0, 'duration'] = 0 + df.loc[df['event_index'].isin( + [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 19, 20, 25, 27, 28, 29, 30, 37, 43, 45]), 'duration'] = 0 + # df.loc[df['event_index'].shift(1).isin([23, 26]), 'duration'] = 0 + df['duration'] = df['duration'].abs() + df.fillna(0, inplace=True) + + possession_a = df[ + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ]['duration'].sum() + + possession_b = df[ + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ]['duration'].sum() + + # 1. 控球率 + def possession(x): + r = possession_a / (possession_a + possession_b + 1e-20) \ + if (x == visiting_team_id).sum() == 0 else possession_b / ( + possession_a + possession_b + 1e-20) + return round(r, 2) + + # 2. 控球时间 + def possession_time(x): + return possession_a if (x == visiting_team_id).sum() == 0 else possession_b + + average_regain_line_a = df[( + (df['player1_teamID'] == home_team_id) & + (df['is_possessions_lost'].shift(1)) & + ( + ( + (df['player1_teamID'] == df['left_team']) & + (df['pos_x'] < 0) + ) | + ( + (df['player1_teamID'] != df['left_team']) & + (df['pos_x'] > 0) + ) + ) + )]['pos_x'].apply(lambda a: abs(52.5 - abs(a))).mean() + + average_regain_line_b = df[( + (df['player1_teamID'] == visiting_team_id) & + (df['is_possessions_lost'].shift(1)) & + ( + ( + (df['player1_teamID'] == df['left_team']) & + (df['pos_x'] < 0) + ) | + ( + (df['player1_teamID'] != df['left_team']) & + (df['pos_x'] > 0) + ) + ) + )]['pos_x'].apply(lambda a: abs(52.5 - abs(a))).mean() + + # 3. 平均重新控球线 + def average_regain_line(x): + return average_regain_line_a if (x == visiting_team_id).sum() == 0 else average_regain_line_b + + possession_first_quarter_a = df[ + ( + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) & + (df['match_progress'] == 1) & + (df['time_point'] <= 900000) + ]['duration'].sum() + + possession_first_quarter_b = df[ + ( + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) & + (df['match_progress'] == 1) & + (df['time_point'] <= 900000) + ]['duration'].sum() + + # 4. 0-15分钟控球率 + def possession_first_quarter(x): + return possession_first_quarter_a / (possession_first_quarter_a + possession_first_quarter_b + 1e-20) if ( + x == visiting_team_id).sum() == 0 else possession_first_quarter_b / ( + possession_first_quarter_a + possession_first_quarter_b + 1e-20) + + possession_secend_quarter_a = df[ + ( + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) & + (df['match_progress'] == 1) & + (df['time_point'] > 900000) & + (df['time_point'] <= 1800000) + ]['duration'].sum() + + possession_secend_quarter_b = df[ + ( + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) & + (df['match_progress'] == 1) & + (df['time_point'] > 900000) & + (df['time_point'] <= 1800000) + ]['duration'].sum() + + # 5. 15-30分钟控球率 + def possession_secend_quarter(x): + return possession_secend_quarter_a / ( + possession_secend_quarter_a + possession_secend_quarter_b + 1e-20) if ( + x == visiting_team_id).sum() == 0 else possession_secend_quarter_b / ( + possession_secend_quarter_a + possession_secend_quarter_b + 1e-20) + + possession_third_quarter_a = df[ + ( + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) & + (df['match_progress'] == 1) & + (df['time_point'] > 1800000) & + (df['time_point'] <= 2700000) + ]['duration'].sum() + + possession_third_quarter_b = df[ + ( + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) & + (df['match_progress'] == 1) & + (df['time_point'] > 1800000) & + (df['time_point'] <= 2700000) + ]['duration'].sum() + + # 6. 30-45分钟控球率 + def possession_third_quarter(x): + return possession_third_quarter_a / (possession_third_quarter_a + possession_third_quarter_b + 1e-20) if ( + x == visiting_team_id).sum() == 0 else possession_third_quarter_b / ( + possession_third_quarter_a + possession_third_quarter_b + 1e-20) + + possession_fourth_quarter_a = df[ + ( + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) & + (df['match_progress'] == 2) & + (df['time_point'] <= 900000) + ]['duration'].sum() + + possession_fourth_quarter_b = df[ + ( + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) & + (df['match_progress'] == 2) & + (df['time_point'] <= 900000) + ]['duration'].sum() + + # 7. 45-60分钟控球率 + def possession_fourth_quarter(x): + return possession_fourth_quarter_a / ( + possession_fourth_quarter_a + possession_fourth_quarter_b + 1e-20) if ( + x == visiting_team_id).sum() == 0 else possession_fourth_quarter_b / ( + possession_fourth_quarter_a + possession_fourth_quarter_b + 1e-20) + # return -1 + + possession_fifth_quarter_a = df[ + ( + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) & + (df['match_progress'] == 2) & + (df['time_point'] > 900000) & + (df['time_point'] <= 1800000) + ]['duration'].sum() + + possession_fifth_quarter_b = df[ + ( + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) & + (df['match_progress'] == 2) & + (df['time_point'] > 900000) & + (df['time_point'] <= 1800000) + ]['duration'].sum() + + # 8. 60-75分钟控球率 + def possession_fifth_quarter(x): + return possession_fifth_quarter_a / (possession_fifth_quarter_a + possession_fifth_quarter_b + 1e-20) if ( + x == visiting_team_id).sum() == 0 else possession_fifth_quarter_b / ( + possession_fifth_quarter_a + possession_fifth_quarter_b + 1e-20) + # return -1 + + possession_sixth_quarter_a = df[ + ( + (df['player1_teamID'] == home_team_id) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) & + (df['match_progress'] == 2) & + (df['time_point'] > 1800000) & + (df['time_point'] <= 2700000) + ]['duration'].sum() + + possession_sixth_quarter_b = df[ + ( + (df['player1_teamID'] == visiting_team_id) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) & + (df['match_progress'] == 2) & + (df['time_point'] > 1800000) & + (df['time_point'] <= 2700000) + ]['duration'].sum() + + # 9. 75-90分钟控球率 + def possession_sixth_quarter(x): + return possession_sixth_quarter_a / (possession_sixth_quarter_a + possession_sixth_quarter_b + 1e-20) if ( + x == visiting_team_id).sum() == 0 else possession_sixth_quarter_b / ( + possession_sixth_quarter_a + possession_sixth_quarter_b + 1e-20) + # return -1 + + # 10. 短传 + def short_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) <= 1000) + ]) + + # 11. 中传 + def medium_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) > 1000) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) <= 2000) + ]) + + # 12. 长传 + def long_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) > 2000) + ]) + + forward_passes_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 1) & + (abs(df['pos_y'].shift(-1) - df['pos_y']) / abs( + df['pos_x'].shift(-1) - df['pos_x']) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) + ) + ]) + + forward_passes_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 1) & + (abs(df['pos_y'].shift(-1) - df['pos_y']) / abs( + df['pos_x'].shift(-1) - df['pos_x']) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) + ) + ]) + + # 13. 向前传球 + def forward_passes(x): + return forward_passes_a if (x == visiting_team_id).sum() == 0 else forward_passes_b + + # 14. 横传（两侧） + def sideways_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + ( + (abs(new_df['pos_y'].shift(-1) - new_df['pos_y']) / abs( + new_df['pos_x'].shift(-1) - new_df['pos_x']) >= 1) | + ( + (new_df['pos_x'] - new_df['pos_x'].shift(-1) == 0) & + (new_df['pos_y'] - new_df['pos_y'].shift(-1) != 0) + ) + ) + ]) + + backward_passes_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 1) & + (abs(df['pos_y'].shift(-1) - df['pos_y']) / abs( + df['pos_x'].shift(-1) - df['pos_x']) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) + ) + ]) + + backward_passes_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 1) & + (abs(df['pos_y'].shift(-1) - df['pos_y']) / abs( + df['pos_x'].shift(-1) - df['pos_x']) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) + ) + ]) + + # 15. 向后传球 + def backward_passes(x): + return backward_passes_a if (x == visiting_team_id).sum() == 0 else backward_passes_b + + # 16. 向前传球比例 + def forward_passes_p(x): + return -1 + + # 17. 横传比例 + def sideways_passes_p(x): + return -1 + + # 18. 向后传球比例 + def backward_passes_p(x): + return -1 + + # 19. 射门 + def shots(x): + return (x.isin([12, 24])).sum() + + # 20. 射正 + def shots_on_target(x): + return (x == 12).sum() + + # 21. 射正率 + def shots_on_target_p(x): + return -1 + + shots_area_one_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + (df['pos_y'] >= -916) & + (df['pos_y'] <= 916) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -4700) + ) + ) + ]) + + shots_area_one_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + (df['pos_y'] >= -916) & + (df['pos_y'] <= 916) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -4700) + ) + ) + ]) + + # 22. 在区域一中射门 + def shots_area_one(x): + return shots_area_one_a if (x == visiting_team_id).sum() == 0 else shots_area_one_b + + shots_area_two_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] < -916) & + (df['pos_y'] >= -2016) & + (df['pos_x'] > df['pos_y'] + 5616) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 2016) & + (df['pos_y'] > 916) & + (df['pos_x'] < df['pos_y'] - 5616) + ) + ) + ]) + + shots_area_two_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < -916) & + (df['pos_x'] > df['pos_y'] + 5616) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 916) & + (df['pos_y'] <= 2016) & + (df['pos_x'] < df['pos_y'] - 5616) + ) + ) + ]) + + # 23. 在区域二中射门 + def shots_area_two(x): + return shots_area_two_a if (x == visiting_team_id).sum() == 0 else shots_area_two_b + + shots_area_three_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] >= df['pos_x'] - 5616) & + (df['pos_y'] < 0) & + (df['pos_x'] > 3600) & + (df['pos_x'] <= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= df['pos_x'] + 5616) & + (df['pos_y'] > 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + ) + ) + ]) + + shots_area_three_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] >= df['pos_x'] - 5616) & + (df['pos_y'] < 0) & + (df['pos_x'] > 3600) & + (df['pos_x'] <= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= df['pos_x'] + 5616) & + (df['pos_y'] > 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + ) + ) + ]) + + # 24. 在区域三中射门 + def shots_area_three(x): + return shots_area_three_a if (x == visiting_team_id).sum() == 0 else shots_area_three_b + + shots_area_four_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] < -df['pos_x'] + 5616) & + (df['pos_y'] >= 0) & + (df['pos_x'] >= 3600) & + (df['pos_x'] < 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > -df['pos_x'] - 5616) & + (df['pos_y'] <= 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + ) + ) + ]) + + shots_area_four_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] < -df['pos_x'] + 5616) & + (df['pos_y'] >= 0) & + (df['pos_x'] >= 3600) & + (df['pos_x'] < 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > -df['pos_x'] - 5616) & + (df['pos_y'] <= 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + + ) + ) + ]) + + # 25. 在区域四中射门 + def shots_area_four(x): + return shots_area_four_a if (x == visiting_team_id).sum() == 0 else shots_area_four_b + + shots_area_five_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= -df['pos_y'] + 5616) & + (df['pos_y'] <= 2016) & + (df['pos_y'] > 916) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -df['pos_y'] - 5616) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < -916) + ) + ) + ]) + + shots_area_five_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= -df['pos_y'] + 5616) & + (df['pos_y'] <= 2016) & + (df['pos_y'] > 916) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -df['pos_y'] - 5616) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < -916) + ) + ) + ]) + + # 26. 在区域五中射门 + def shots_area_five(x): + return shots_area_five_a if (x == visiting_team_id).sum() == 0 else shots_area_five_b + + shots_area_six_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + ( + (df['pos_x'] < 3600) | + ( + (df['pos_x'] >= 3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + ( + (df['pos_x'] > -3600) | + ( + (df['pos_x'] <= -3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) + ) + ]) + + shots_area_six_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + ( + (df['pos_x'] < 3600) | + ( + (df['pos_x'] >= 3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + ( + (df['pos_x'] > -3600) | + ( + (df['pos_x'] <= -3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) + ) + ]) + + # 27. 在区域六中射门 + def shots_area_six(x): + return shots_area_six_a if (x == visiting_team_id).sum() == 0 else shots_area_six_b + + final_third_entries_left_a = len(df[ + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == home_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] > 2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] < -2016) + ) + ) + ]) + + final_third_entries_left_b = len(df[ + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == visiting_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] > 2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] < -2016) + ) + ) + ]) + + # 28. 攻入左路最后35米 + def final_third_entries_left(x): + return final_third_entries_left_a if (x == visiting_team_id).sum() == 0 else final_third_entries_left_b + + final_third_entries_medium_a = len(df[ + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == home_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] >= -2016) & + (df['pos_y'] <= 2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] <= 2016) & + (df['pos_y'] >= -2016) + ) + ) + ]) + + final_third_entries_medium_b = len(df[ + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == visiting_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] <= 2016) & + (df['pos_y'] >= -2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] >= -2016) & + (df['pos_y'] <= 2016) + ) + ) + ]) + + # 29. 攻入中路最后35米 + def final_third_entries_medium(x): + return final_third_entries_medium_a if (x == visiting_team_id).sum() == 0 else final_third_entries_medium_b + + final_third_entries_right_a = len(df[ + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == home_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] < -2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] > 2016) + ) + ) + ]) + + final_third_entries_right_b = len(df[ + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == visiting_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] < -2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] > 2016) + ) + ) + ]) + + # 30. 攻入右路最后35米 + def final_third_entries_right(x): + return final_third_entries_right_a if (x == visiting_team_id).sum() == 0 else final_third_entries_right_b + + # 31. 攻入左路最后35米比例 + def final_third_entries_left_p(x): + return -1 + + # 32. 攻入中路最后35米比例 + def final_third_entries_medium_p(x): + return -1 + + # 33. 攻入右路最后35米比例 + def final_third_entries_right_p(x): + return -1 + + crosses_in_play_left_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + ]) + + crosses_in_play_left_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + ]) + + # 34. 左路活球传中 + def crosses_in_play_left(x): + return crosses_in_play_left_a if (x == visiting_team_id).sum() == 0 else crosses_in_play_left_b + + crosses_in_play_right_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + ]) + + crosses_in_play_right_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + ]) + + # 35. 右路活球传中 + def crosses_in_play_right(x): + return crosses_in_play_right_a if (x == visiting_team_id).sum() == 0 else crosses_in_play_right_b + + successful_crosses_in_play_left_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + ]) + + successful_crosses_in_play_left_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + ]) + + # 36. 左路成功活球传中 + def successful_crosses_in_play_left(x): + return successful_crosses_in_play_left_a if ( + x == visiting_team_id).sum() == 0 else successful_crosses_in_play_left_b + + successful_crosses_in_play_right_a = len(df[ + (df['player1_teamID'] == home_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + ]) + + successful_crosses_in_play_right_b = len(df[ + (df['player1_teamID'] == visiting_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + ]) + + # 37. 右路成功活球传中 + def successful_crosses_in_play_right(x): + return successful_crosses_in_play_right_a if ( + x == visiting_team_id).sum() == 0 else successful_crosses_in_play_right_b + + # 38. 左路活球传中成功率 + def successful_crosses_in_play_left_p(x): + return -1 + + # 39. 右路活球传中成功率 + def successful_crosses_in_play_right_p(x): + return -1 + + # 40. 传球 + def passes(x): + return (x == 1).sum() + + # 41. 角球 + def corner(x): + new_df = df.iloc[x.index.values] + return len(df[(df['event_index'] == 5) & + (df['player1_teamID'].shift(-1) == home_team_id)] + ) if (x == visiting_team_id + ).sum() == 0 else len(df[(df['event_index'] == 5) & + (df['player1_teamID'].shift(-1) == visiting_team_id)]) + # return len(new_df[ + # (new_df['event_index'] == 23) & + # (new_df['event_index'].shift(1) == 5) + # ]) + # return (x == 23).sum() + + # 42. 越位 + def offside(x): + return (x == 11).sum() + + # 43. 成功传球 + def successful_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (new_df['is_possessions_lost'] == 0) + ]) + + # 44. 成功传球率 + def successful_passes_p(x): + return -1 + + # 45. 射门（禁区内） + def shots_inside_the_box(x): + return -1 + + # 46. 普通进球 + def goal_normal(x): + new_df = df.iloc[x.index.values] + a = len(new_df[ + (new_df['event_index'] == 2) & + (new_df['event_index'].shift(2) != 7) + ]) + + return a + + # 47. 点球进球 + def goal_sur_penalty(x): + return len(df[(df['event_index'] == 7) & + (df['player2_teamID'] == home_team_id) & + (df['event_index'].shift(-2) == 2)]) if x.values[0] == home_team_id else len( df[(df['event_index'] == 7) & + (df['player2_teamID'] == visiting_team_id) & + (df['event_index'].shift(-2) == 2)]) + # 球队点球 + def goal_penalty(x): + return len(df[(df['event_index'] == 7) & + (df['player2_teamID'] == home_team_id)]) if x.values[0] == home_team_id else len( df[(df['event_index'] == 7) & + (df['player2_teamID'] == visiting_team_id)]) + + + # a = len(new_df[(new_df['event_index'] == 7) & + # (new_df['player1_teamID'] == visiting_team_id)]) if (x == home_team_id).sum() == 0 else len( + # new_df[(new_df['event_index'] == 7) & + # (new_df['player1_teamID'] == home_team_id)]) + + # 48. 乌龙球进球 + def own_goal(x): + return (x == 6).sum() + + # 49. 界外球 + def throw_in(x): + new_df = df.iloc[x.index.values] + return len(new_df[(new_df['event_index'].shift(1) == 20)]) + # return (x == 20).sum() + + # 50. 触球次数 + def balls_played(x): + new_df = df.iloc[x.index.values] + return len(new_df[(new_df['event_index'] != 0)]) + # return x.count() + + # 51. 机会球 + def chances(x): + return (x == 13).sum() + + # 52. 射偏 + def shot_off_target(x): + return (x == 24).sum() + + # 53. 短传比例 + def short_passes_p(x): + return -1 + + # 54. 中传比例 + def medium_passes_p(x): + return -1 + + # 55. 长传比例 + def long_passes_p(x): + return -1 + + # 56. 获得球权 + def possessions_gained(x): + return x.sum() + + # 57. 失去球权 + def possessions_lost(x): + return x.sum() + + # 58. 犯规 + def fouls_commited(x): + return (x.isin([3, 4, 7, 10])).sum() + + # 59. 黄牌 + def yellow_cards(x): + return (x == 27).sum() + + # 61. 红牌 + def red_cards(x): + return (x.isin([28, 29])).sum() + + # 62. 控球区域 A1 + possession_a1_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_a1_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_a1(x): + return possession_a1_a if (x == visiting_team_id).sum() == 0 else possession_a1_b + + # 63. 控球区域 A2 + possession_a2_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_a2_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_a2(x): + return possession_a2_a if (x == visiting_team_id).sum() == 0 else possession_a2_b + + # 64. 控球区域 A3 + possession_a3_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_a3_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_a3(x): + return possession_a3_a if (x == visiting_team_id).sum() == 0 else possession_a3_b + + # 65. 控球区域 A4 + possession_a4_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_a4_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_a4(x): + return possession_a4_a if (x == visiting_team_id).sum() == 0 else possession_a4_b + + # 66. 控球区域 B1 + possession_b1_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_b1_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_b1(x): + return possession_b1_a if (x == visiting_team_id).sum() == 0 else possession_b1_b + + # 67. 控球区域 B2 + possession_b2_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_b2_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_b2(x): + return possession_b2_a if (x == visiting_team_id).sum() == 0 else possession_b2_b + + # 68. 控球区域 B3 + possession_b3_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_b3_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_b3(x): + return possession_b3_a if (x == visiting_team_id).sum() == 0 else possession_b3_b + + # 69. 控球区域 B4 + possession_b4_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_b4_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_b4(x): + return possession_b4_a if (x == visiting_team_id).sum() == 0 else possession_b4_b + + # 70. 控球区域 C1 + possession_c1_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_c1_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_c1(x): + return possession_c1_a if (x == visiting_team_id).sum() == 0 else possession_c1_b + + # 71. 控球区域 C2 + possession_c2_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_c2_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_c2(x): + return possession_c2_a if (x == visiting_team_id).sum() == 0 else possession_c2_b + + # 72. 控球区域 C3 + possession_c3_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_c3_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_c3(x): + return possession_c3_a if (x == visiting_team_id).sum() == 0 else possession_c3_b + + # 73. 控球区域 C4 + possession_c4_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_c4_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_c4(x): + return possession_c4_a if (x == visiting_team_id).sum() == 0 else possession_c4_b + + # 74. 控球区域 D1 + possession_d1_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_d1_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_d1(x): + return possession_d1_a if (x == visiting_team_id).sum() == 0 else possession_d1_b + + # 75. 控球区域 D2 + possession_d2_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_d2_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_d2(x): + return possession_d2_a if (x == visiting_team_id).sum() == 0 else possession_d2_b + + # 76. 控球区域 D3 + possession_d3_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_d3_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_d3(x): + return possession_d3_a if (x == visiting_team_id).sum() == 0 else possession_d3_b + + # 77. 控球区域 D4 + possession_d4_a = df[(df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + possession_d4_b = df[(df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) & + (df['event_index'] != 0) + ]['duration'].sum() + + def possessions_area_d4(x): + return possession_d4_a if (x == visiting_team_id).sum() == 0 else possession_d4_b + + # 78. 传中 + def crosses(x): + return (x == 22).sum() + + # 79. 净比赛时间 + def net_game_time(x): + return df[( + ~df['event_index'].shift(1).isin( + [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 19, 20, 25, 27, 28, 29, 30, 37, 43, 45]) & + # ~df['event_index'].isin([23, 26]) & + df['player1_teamID'] != 0 & + df['match_progress'].isin([1, 2]) + )]['duration'].sum() + + team_df = df.groupby('player1_teamID').agg( + possession=('player1_teamID', possession), + possession_time=('player1_teamID', possession_time), + average_regain_line=('player1_teamID', average_regain_line), + possession_first_quarter=('player1_teamID', possession_first_quarter), + possession_secend_quarter=('player1_teamID', possession_secend_quarter), + possession_third_quarter=('player1_teamID', possession_third_quarter), + possession_fourth_quarter=('player1_teamID', possession_fourth_quarter), + possession_fifth_quarter=('player1_teamID', possession_fifth_quarter), + possession_sixth_quarter=('player1_teamID', possession_sixth_quarter), + short_passes=('player1_teamID', short_passes), + medium_passes=('player1_teamID', medium_passes), + long_passes=('player1_teamID', long_passes), + forward_passes=('player1_teamID', forward_passes), + sideways_passes=('player1_teamID', sideways_passes), + backward_passes=('player1_teamID', backward_passes), + forward_passes_p=('player1_teamID', forward_passes_p), + sideways_passes_p=('player1_teamID', sideways_passes_p), + backward_passes_p=('player1_teamID', backward_passes_p), + shots=('event_index', shots), + shots_on_target=('event_index', shots_on_target), + shots_on_target_p=('player1_teamID', shots_on_target_p), + shots_area_one=('player1_teamID', shots_area_one), + shots_area_two=('player1_teamID', shots_area_two), + shots_area_three=('player1_teamID', shots_area_three), + shots_area_four=('player1_teamID', shots_area_four), + shots_area_five=('player1_teamID', shots_area_five), + shots_area_six=('player1_teamID', shots_area_six), + final_third_entries_left=('player1_teamID', final_third_entries_left), + final_third_entries_medium=('player1_teamID', final_third_entries_medium), + final_third_entries_right=('player1_teamID', final_third_entries_right), + final_third_entries_left_p=('player1_teamID', final_third_entries_left_p), + final_third_entries_medium_p=('player1_teamID', final_third_entries_medium_p), + final_third_entries_right_p=('player1_teamID', final_third_entries_right_p), + crosses_in_play_left=('player1_teamID', crosses_in_play_left), + crosses_in_play_right=('player1_teamID', crosses_in_play_right), + successful_crosses_in_play_left=('player1_teamID', successful_crosses_in_play_left), + successful_crosses_in_play_right=('player1_teamID', successful_crosses_in_play_right), + successful_crosses_in_play_left_p=('player1_teamID', successful_crosses_in_play_left_p), + successful_crosses_in_play_right_p=('player1_teamID', successful_crosses_in_play_right_p), + passes=('event_index', passes), + corner=('player1_teamID', corner), + offside=('event_index', offside), + # new processor + successful_passes=('player1_teamID', successful_passes), + successful_passes_p=('event_index', successful_passes_p), + shots_inside_the_box=('event_index', shots_inside_the_box), + goal_normal=('event_index', goal_normal), + goal_penalty=('player1_teamID', goal_penalty), + own_goal=('event_index', own_goal), + throw_in=('event_index', throw_in), + balls_played=('player1_teamID', balls_played), + chances=('event_index', chances), + shot_off_target=('event_index', shot_off_target), + short_passes_p=('player1_teamID', short_passes_p), + medium_passes_p=('player1_teamID', medium_passes_p), + long_passes_p=('player1_teamID', long_passes_p), + possessions_gained=('is_possessions_gained', possessions_gained), + possessions_lost=('is_possessions_lost', possessions_lost), + fouls_commited=('event_index', fouls_commited), + yellow_cards=('event_index', yellow_cards), + red_cards=('event_index', red_cards), + crosses=('event_index', crosses), + possessions_area_a1=('player1_teamID', possessions_area_a1), + possessions_area_a2=('player1_teamID', possessions_area_a2), + possessions_area_a3=('player1_teamID', possessions_area_a3), + possessions_area_a4=('player1_teamID', possessions_area_a4), + possessions_area_b1=('player1_teamID', possessions_area_b1), + possessions_area_b2=('player1_teamID', possessions_area_b2), + possessions_area_b3=('player1_teamID', possessions_area_b3), + possessions_area_b4=('player1_teamID', possessions_area_b4), + possessions_area_c1=('player1_teamID', possessions_area_c1), + possessions_area_c2=('player1_teamID', possessions_area_c2), + possessions_area_c3=('player1_teamID', possessions_area_c3), + possessions_area_c4=('player1_teamID', possessions_area_c4), + possessions_area_d1=('player1_teamID', possessions_area_d1), + possessions_area_d2=('player1_teamID', possessions_area_d2), + possessions_area_d3=('player1_teamID', possessions_area_d3), + possessions_area_d4=('player1_teamID', possessions_area_d4), + net_game_time=('player1_teamID', net_game_time), + goal_sur_penalty=('player1_teamID', goal_sur_penalty), + ) + columns = ['player1_teamID', + 'possession', + 'possession_time', + 'average_regain_line', + 'possession_first_quarter', + 'possession_secend_quarter', + 'possession_third_quarter', + 'possession_fourth_quarter', + 'possession_fifth_quarter', + 'possession_sixth_quarter', + 'short_passes', + 'medium_passes', + 'long_passes', + 'forward_passes', + 'sideways_passes', + 'backward_passes', + 'forward_passes_p', + 'sideways_passes_p', + 'backward_passes_p', + 'shots', + 'shots_on_target', + 'shots_on_target_p', + 'shots_area_one', + 'shots_area_two', + 'shots_area_three', + 'shots_area_four', + 'shots_area_five', + 'shots_area_six', + 'final_third_entries_left', + 'final_third_entries_medium', + 'final_third_entries_right', + 'final_third_entries_left_p', + 'final_third_entries_medium_p', + 'final_third_entries_right_p', + 'crosses_in_play_left', + 'crosses_in_play_right', + 'successful_crosses_in_play_left', + 'successful_crosses_in_play_right', + 'successful_crosses_in_play_left_p', + 'successful_crosses_in_play_right_p', + 'passes', + 'corner', + 'offside', + 'successful_passes', + 'successful_passes_p', + 'shots_inside_the_box', + 'goal_normal', + 'goal_penalty', + 'own_goal', + 'throw_in', + 'balls_played', + 'chances', + 'shot_off_target', + 'short_passes_p', + 'medium_passes_p', + 'long_passes_p', + 'possessions_gained', + 'possessions_lost', + 'fouls_commited', + 'yellow_cards', + 'red_cards', + 'crosses', + 'possessions_area_a1', + 'possessions_area_a2', + 'possessions_area_a3', + 'possessions_area_a4', + 'possessions_area_b1', + 'possessions_area_b2', + 'possessions_area_b3', + 'possessions_area_b4', + 'possessions_area_c1', + 'possessions_area_c2', + 'possessions_area_c3', + 'possessions_area_c4', + 'possessions_area_d1', + 'possessions_area_d2', + 'possessions_area_d3', + 'possessions_area_d4', + 'fouls_received', + 'net_game_time', + 'goal_sur_penalty', + ] + + team_df['shots_on_target_p'] = team_df['shots_on_target'].divide(team_df['shots']) + + team_df['forward_passes_p'] = team_df['forward_passes'].divide( + team_df['forward_passes'] + team_df['sideways_passes'] + team_df['backward_passes']) + + team_df['sideways_passes_p'] = team_df['sideways_passes'].divide( + team_df['forward_passes'] + team_df['sideways_passes'] + team_df['backward_passes']) + + team_df['backward_passes_p'] = team_df['backward_passes'].divide( + team_df['forward_passes'] + team_df['sideways_passes'] + team_df['backward_passes']) + + team_df['final_third_entries_left_p'] = team_df['final_third_entries_left'].divide( + team_df['final_third_entries_left'] + team_df['final_third_entries_medium'] + team_df[ + 'final_third_entries_right']) + + team_df['final_third_entries_medium_p'] = team_df['final_third_entries_medium'].divide( + team_df['final_third_entries_left'] + team_df['final_third_entries_medium'] + team_df[ + 'final_third_entries_right']) + + team_df['final_third_entries_right_p'] = team_df['final_third_entries_right'].divide( + team_df['final_third_entries_left'] + team_df['final_third_entries_medium'] + team_df[ + 'final_third_entries_right']) + + team_df['successful_crosses_in_play_left_p'] = team_df['successful_crosses_in_play_left'].divide( + team_df['crosses_in_play_left']) + + team_df['successful_crosses_in_play_right_p'] = team_df['successful_crosses_in_play_right'].divide( + team_df['crosses_in_play_right']) + + team_df['successful_passes_p'] = team_df['successful_passes'].divide(team_df['passes']) + + team_df['shots_inside_the_box'] = team_df['shots_area_one'] + team_df['shots_area_two'] + team_df[ + 'shots_area_three'] + team_df['shots_area_four'] + team_df['shots_area_five'] + + team_df['short_passes_p'] = team_df['short_passes'].divide(team_df['passes']) + + team_df['medium_passes_p'] = team_df['medium_passes'].divide(team_df['passes']) + + team_df['long_passes_p'] = team_df['long_passes'].divide(team_df['passes']) + + team_df.replace([np.inf, -np.inf], np.nan) + + team_df = team_df.reset_index() + team_df = team_df.drop(team_df[team_df['player1_teamID'] == ''].index) + # 60. 被犯规 + dd = df.groupby('player2_teamID').agg(fouls_received=('event_index', fouls_commited)).reset_index() + dd = dd.drop(dd[dd['player2_teamID'] == ''].index) + dd.rename(columns={'player2_teamID': 'player1_teamID'}, inplace=True) + result = pd.merge(team_df, dd, on='player1_teamID', how='outer')[columns] + result.fillna(0, inplace=True) + + list_value = ListValue() + list_value.extend(result.reset_index().values.tolist()) + return process_pb2.TeamStatisticalResult( + result=list_value + ) + + def run_player_statistics(self): + df = self.df + home_team_id = self.home_team_id + visiting_team_id = self.visiting_team_id + # 球权转移 + lost = df['player1_teamID'] / df['player1_teamID'].shift(-1) + gained = df['player1_teamID'] / df['player1_teamID'].shift(1) + df['is_possessions_lost'] = (lost != np.nan) & (lost != np.inf) & (lost != 1) + df['is_possessions_gained'] = (gained != np.nan) & (gained != np.inf) & (gained != 1) + # 事件时间点的时间差 + df['duration'] = df['time_point'].diff(-1) + df.loc[df['duration'] > 0, 'duration'] = 0 + df.loc[df['event_index'].isin( + [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 19, 20, 25, 27, 28, 29, 30, 37, 43, 45]), 'duration'] = 0 + # df.loc[df['event_index'].shift(1).isin([23, 26]), 'duration'] = 0 + df['duration'] = df['duration'].abs() + df.fillna(0, inplace=True) + + # 1. 触球次数 + def balls_played(x): + new_df = df.iloc[x.index.values] + return len(new_df[(new_df['event_index'] != 0)]) + # return x.count() + + # 2. 获得球权 + def possessions_gained(x): + return x.sum() + + # 3. 丢失球权 + def possessions_lost(x): + return x.sum() + + # 4. 传球 + def passes(x): + return (x == 1).sum() + + # 5. 成功传球 + def successful_passes(x): + data = df.iloc[x.index.values] + return len(data[ + (data['event_index'] == 1) & + (data['is_possessions_lost'] == 0) + ] + ) + + # 6. 传中 + def crosses(x): + return (x == 22).sum() + + # 7. 射门 + def shots(x): + return (x.isin([12, 24])).sum() + + # 8. 射正 + def shots_on_target(x): + return (x == 12).sum() + + # 9. 射正（ % ） + def shots_on_target_p(x): + return -1 + + # 10. 创造机会 + def chances(x): + return (x == 13).sum() + + # 11. 犯规 + def fouls_commited(x): + return (x.isin([3, 4, 7, 10])).sum() + + # 13. 黄牌 + def yellow_cards(x): + return (x == 27).sum() + + # 14. 红牌 + def red_cards(x): + return (x.isin([28, 29])).sum() + + def get_teamID(x): + return home_team_id if (x == visiting_team_id).sum() == 0 else visiting_team_id + + # 15. 第一张黄牌 + def yellow_card_1st(x): + new_df = df.iloc[x.index.values] + return new_df[x == 27]['time_point'].values[0] if (len(new_df[x == 27]['time_point'].values) >= 1) else 0 + + + # 16. 第二张黄牌 + def yellow_card_2nd(x): + new_df = df.iloc[x.index.values] + return new_df[x == 27]['time_point'].values[1] if (len(new_df[x == 27]['time_point'].values) >= 2) else 0 + + # 17. 红牌时间 + def red_card_time(x): + new_df = df.iloc[x.index.values] + return new_df[x.isin([28, 29])]['time_point'].values[0] if ( + len(new_df[x.isin([28, 29])]['time_point'].values) >= 1) else 0 + + + # 18. 向前传球 + def forward_passes(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 1) & + (df['player1'] != df['player1'].shift(-1)) & + (abs(df['pos_y'] - df['pos_y'].shift(-1)) / abs( + df['pos_x'] - df['pos_x'].shift(-1)) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 1) & + (df['player1'] != df['player1'].shift(-1)) & + (abs(df['pos_y'] - df['pos_y'].shift(-1)) / abs( + df['pos_x'] - df['pos_x'].shift(-1)) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 19. 向前传球比例 + def forward_passes_p(x): + return -1 + + # 20. 角球 + def corner(x): + return len(df[(df['event_index'] == 5) & + (df['player1_teamID'].shift(-1) == home_team_id)] + ) if (x == visiting_team_id + ).sum() == 0 else len(df[(df['event_index'] == 5) & + (df['player1_teamID'].shift(-1) == visiting_team_id)]) + # new_df = df.iloc[x.index.values] + # return len(new_df[ + # (new_df['event_index'] == 23) & + # (new_df['event_index'].shift(1) == 5) + # ]) + # return (x == 23).sum() + + # 21. 越位 + def offside(x): + return (x == 11).sum() + + # 22. 控球时间 + def possession_time(x): + new_df = df.iloc[x.index.values] + return new_df[ + ( + ( + (df['player1_teamID'].shift(1) != visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) | + ( + (df['player1_teamID'].shift(1) == home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) + ) | + ( + ( + (df['player1_teamID'].shift(1) != home_team_id) & + (df['player1_teamID'] == visiting_team_id) + ) | + ( + (df['player1_teamID'].shift(1) == visiting_team_id) & + (df['player1_teamID'] == home_team_id) + ) + ) + ]['duration'].sum() + + # 23. 短传 + def short_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) <= 1000) + ]) + + # 24. 中传 + def medium_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) > 1000) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) <= 2000) + ]) + + # 25. 长传 + def long_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + (pow((pow(abs(new_df['pos_x'].shift(-1) - new_df['pos_x']), 2)) + ( + pow(abs(new_df['pos_y'].shift(-1) - new_df['pos_y']), 2)), 0.5) > 2000) + ]) + + # 26. 短传比例 + def short_passes_p(x): + return -1 + + # 27. 中传比例 + def medium_passes_p(x): + return -1 + + # 28. 长传比例 + def long_passes_p(x): + return -1 + + # 29. 横传（两侧） + def sideways_passes(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 1) & + ( + (abs(new_df['pos_y'].shift(-1) - new_df['pos_y']) / abs( + new_df['pos_x'].shift(-1) - new_df['pos_x']) >= 1) | + ( + (new_df['pos_x'] - new_df['pos_x'].shift(-1) == 0) & + (new_df['pos_y'] - new_df['pos_y'].shift(-1) != 0) + ) + ) + ]) + + # 30. 向后传球 + def backward_passes(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 1) & + (abs(df['pos_y'].shift(-1) - df['pos_y']) / abs( + df['pos_x'].shift(-1) - df['pos_x']) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 1) & + (abs(df['pos_y'].shift(-1) - df['pos_y']) / abs( + df['pos_x'].shift(-1) - df['pos_x']) < 1) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] > df['pos_x'].shift(-1)) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] < df['pos_x'].shift(-1)) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 31. 横传比例 + def sideways_passes_p(x): + return -1 + + # 32. 向后传球比例 + def backward_passes_p(x): + return -1 + + # 33. 传球成功率 + def successful_passes_p(x): + return -1 + + # 34. 在区域一射门 + def shots_area_one(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + (df['pos_y'] >= -916) & + (df['pos_y'] <= 916) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -4700) + ) + ) + ) | + ( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + (df['pos_y'] >= -916) & + (df['pos_y'] <= 916) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -4700) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 35. 在区域二射门 + def shots_area_two(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] < -916) & + (df['pos_y'] >= -2016) & + (df['pos_x'] > df['pos_y'] + 5616) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 2016) & + (df['pos_y'] > 916) & + (df['pos_x'] < df['pos_y'] - 5616) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < -916) & + (df['pos_x'] > df['pos_y'] + 5616) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 916) & + (df['pos_y'] <= 2016) & + (df['pos_x'] < df['pos_y'] - 5616) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 36. 在区域三射门 + def shots_area_three(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] >= df['pos_x'] - 5616) & + (df['pos_y'] < 0) & + (df['pos_x'] > 3600) & + (df['pos_x'] <= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= df['pos_x'] + 5616) & + (df['pos_y'] > 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] >= df['pos_x'] - 5616) & + (df['pos_y'] < 0) & + (df['pos_x'] > 3600) & + (df['pos_x'] <= 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= df['pos_x'] + 5616) & + (df['pos_y'] > 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 37. 在区域四射门 + def shots_area_four(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] < -df['pos_x'] + 5616) & + (df['pos_y'] >= 0) & + (df['pos_x'] >= 3600) & + (df['pos_x'] < 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > -df['pos_x'] - 5616) & + (df['pos_y'] <= 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] < -df['pos_x'] + 5616) & + (df['pos_y'] >= 0) & + (df['pos_x'] >= 3600) & + (df['pos_x'] < 4700) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > -df['pos_x'] - 5616) & + (df['pos_y'] <= 0) & + (df['pos_x'] <= -3600) & + (df['pos_x'] > -4700) + + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 38. 在区域五射门 + def shots_area_five(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= -df['pos_y'] + 5616) & + (df['pos_y'] <= 2016) & + (df['pos_y'] > 916) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -df['pos_y'] - 5616) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < -916) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'] >= -df['pos_y'] + 5616) & + (df['pos_y'] <= 2016) & + (df['pos_y'] > 916) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'] <= -df['pos_y'] - 5616) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < -916) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 39. 在区域六射门 + def shots_area_six(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + ( + (df['pos_x'] < 3600) | + ( + (df['pos_x'] >= 3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + ( + (df['pos_x'] > -3600) | + ( + (df['pos_x'] <= -3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'].isin([12, 24])) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + ( + (df['pos_x'] < 3600) | + ( + (df['pos_x'] >= 3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + ( + (df['pos_x'] > -3600) | + ( + (df['pos_x'] <= -3600) & + (abs(df['pos_y']) > 2016) + + ) + ) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 40. 射门（禁区内） + def shots_inside_the_box(x): + return -1 + + # 41. 射偏 + def shot_off_target(x): + return (x == 24).sum() + + # 42. 普通进球 + def goal_normal(x): + new_df = df.iloc[x.index.values] + return len(new_df[ + (new_df['event_index'] == 2) & + (new_df['event_index'].shift(2) != 7) + ]) + + # 43. 点球进球 + def goal_penalty(x): + r = 0 + for idx, v in df.iterrows(): + if v['event_index'] == 7: + if df.iloc[idx + 2]['player1'] == x.values[0]: + r += 1 + return r + + # 44. 乌龙球进球 + def own_goal(x): + r = (x == 6).sum() + # print("乌龙=======") + # print(r) + return r + + # 45. 界外球 + def throw_in(x): + new_df = df.iloc[x.index.values] + return len(new_df[(new_df['event_index'].shift(1) == 20)]) + # return (x == 20).sum() + + # 46. 左路活球传中 + def crosses_in_play_left(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 47. 右路活球传中 + def crosses_in_play_right(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 48. 左路成功活球传中 + def successful_crosses_in_play_left(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] > 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] <= 0) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 49. 右路成功活球传中 + def successful_crosses_in_play_right(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['is_possessions_lost'] == False) & + (df['event_index'] == 22) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_y'] <= 0) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_y'] > 0) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 50. 左路活球传中成功率 + def successful_crosses_in_play_left_p(x): + return -1 + + # 51. 右路活球传中成功率 + def successful_crosses_in_play_right_p(x): + return -1 + + # 52. 攻入左路最后35米 + def final_third_entries_left(x): + data = df[( + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == home_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] > 2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] < -2016) + ) + ) + ) | + ( + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == visiting_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] > 2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] < -2016) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 53. 攻入中路最后35米 + def final_third_entries_medium(x): + data = df[( + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == home_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] >= -2016) & + (df['pos_y'] <= 2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] <= 2016) & + (df['pos_y'] >= -2016) + ) + ) + ) | + ( + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == visiting_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] <= 2016) & + (df['pos_y'] >= -2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] >= -2016) & + (df['pos_y'] <= 2016) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 54. 攻入右路最后35米 + def final_third_entries_right(x): + data = df[( + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == home_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] < -2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] > 2016) + ) + ) + ) | + ( + (df['player1_teamID'] == df['player1_teamID'].shift(1)) & + (df['player1_teamID'] == visiting_team_id) & + ( + ( + (df['left_team'] == df['player1_teamID']) & + (df['pos_x'].shift(1) < 1750) & + (df['pos_x'] > 1750) & + (df['pos_y'] < -2016) + ) | + ( + (df['left_team'] != df['player1_teamID']) & + (df['pos_x'].shift(1) > -1750) & + (df['pos_x'] < -1750) & + (df['pos_y'] > 2016) + ) + ) + )] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 55. 控球区域 A1 + def possessions_area_a1(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 56. 控球区域 A2 + def possessions_area_a2(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 57. 控球区域 A3 + def possessions_area_a3(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 58. 控球区域 A4 + def possessions_area_a4(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2650) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 59. 控球区域 B1 + def possessions_area_b1(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 60. 控球区域 B2 + def possessions_area_b2(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) | + ( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 61. 控球区域 B3 + def possessions_area_b3(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 62. 控球区域 B4 + def possessions_area_b4(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 63. 控球区域 C1 + def possessions_area_c1(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 64. 控球区域 C2 + def possessions_area_c2(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 65. 控球区域 C3 + def possessions_area_c3(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 66. 控球区域 C4 + def possessions_area_c4(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 0) & + (df['pos_x'] < 2625) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -2625) & + (df['pos_x'] < 0) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 67. 控球区域 D1 + def possessions_area_d1(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= 2016) & + (df['pos_y'] <= 3400) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 68. 控球区域 D2 + def possessions_area_d2(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= 0) & + (df['pos_y'] < 2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 69. 控球区域 D3 + def possessions_area_d3(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= -2016) & + (df['pos_y'] < 0) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + # 70. 控球区域 D4 + def possessions_area_d4(x): + data = df[( + (df['player1_teamID'] == home_team_id) & + (df['pos_x'] >= 2625) & + (df['pos_x'] <= 5250) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) | + ( + (df['player1_teamID'] == visiting_team_id) & + (df['pos_x'] >= -5250) & + (df['pos_x'] < -2625) & + (df['pos_y'] >= -3400) & + (df['pos_y'] < -2016) + ) & + (df['event_index'] != 0) + ] + d = set(x.index.values) & set(data.index.values) + return len(d) + + player_df = df.groupby('player1').agg( + balls_played=('qualif', balls_played), + possessions_gained=('is_possessions_gained', possessions_gained), + possessions_lost=('is_possessions_lost', possessions_lost), + passes=('event_index', passes), + successful_passes=('event_index', successful_passes), + crosses=('event_index', crosses), + shots=('event_index', shots), + shots_on_target=('event_index', shots_on_target), + shots_on_target_p=('event_index', shots_on_target_p), + chances=('event_index', chances), + fouls_commited=('event_index', fouls_commited), + yellow_cards=('event_index', yellow_cards), + red_cards=('event_index', red_cards), + forward_passes=('player1_teamID', forward_passes), + team_id=('player1_teamID', get_teamID), + yellow_card_1st=('event_index', yellow_card_1st), + yellow_card_2nd=('event_index', yellow_card_2nd), + red_card_time=('event_index', red_card_time), + corner=('player1_teamID', corner), + offside=('event_index', offside), + # new processor + possession_time=('player1', possession_time), + short_passes=('player1', short_passes), + medium_passes=('player1', medium_passes), + long_passes=('player1', long_passes), + short_passes_p=('player1', short_passes_p), + medium_passes_p=('player1', medium_passes_p), + long_passes_p=('player1', long_passes_p), + sideways_passes=('player1', sideways_passes), + backward_passes=('player1', backward_passes), + sideways_passes_p=('player1', sideways_passes_p), + backward_passes_p=('player1', backward_passes_p), + successful_passes_p=('event_index', successful_passes_p), + shots_area_one=('player1', shots_area_one), + shots_area_two=('player1', shots_area_two), + shots_area_three=('player1', shots_area_three), + shots_area_four=('player1', shots_area_four), + shots_area_five=('player1', shots_area_five), + shots_area_six=('player1', shots_area_six), + shots_inside_the_box=('event_index', shots_inside_the_box), + shot_off_target=('event_index', shot_off_target), + goal_normal=('event_index', goal_normal), + goal_penalty=('player1', goal_penalty), + own_goal=('event_index', own_goal), + throw_in=('event_index', throw_in), + crosses_in_play_left=('player1', crosses_in_play_left), + crosses_in_play_right=('player1', crosses_in_play_right), + successful_crosses_in_play_left=('player1', successful_crosses_in_play_left), + successful_crosses_in_play_right=('player1', successful_crosses_in_play_right), + successful_crosses_in_play_left_p=('player1', successful_crosses_in_play_left_p), + successful_crosses_in_play_right_p=('player1', successful_crosses_in_play_right_p), + final_third_entries_left=('player1', final_third_entries_left), + final_third_entries_medium=('player1', final_third_entries_medium), + final_third_entries_right=('player1', final_third_entries_right), + possessions_area_a1=('player1', possessions_area_a1), + possessions_area_a2=('player1', possessions_area_a2), + possessions_area_a3=('player1', possessions_area_a3), + possessions_area_a4=('player1', possessions_area_a4), + possessions_area_b1=('player1', possessions_area_b1), + possessions_area_b2=('player1', possessions_area_b2), + possessions_area_b3=('player1', possessions_area_b3), + possessions_area_b4=('player1', possessions_area_b4), + possessions_area_c1=('player1', possessions_area_c1), + possessions_area_c2=('player1', possessions_area_c2), + possessions_area_c3=('player1', possessions_area_c3), + possessions_area_c4=('player1', possessions_area_c4), + possessions_area_d1=('player1', possessions_area_d1), + possessions_area_d2=('player1', possessions_area_d2), + possessions_area_d3=('player1', possessions_area_d3), + possessions_area_d4=('player1', possessions_area_d4) + ) + columns = ['player1', + 'balls_played', + 'possessions_gained', + 'possessions_lost', + 'passes', + 'successful_passes', + 'crosses', + 'shots', + 'shots_on_target', + 'shots_on_target_p', + 'chances', + 'fouls_commited', + 'yellow_cards', + 'red_cards', + 'forward_passes', + 'team_id', + 'yellow_card_1st', + 'yellow_card_2nd', + 'red_card_time', + 'corner', + 'offside', + 'forward_passes_p', + 'fouls_received', + 'possession_time', + 'short_passes', + 'medium_passes', + 'long_passes', + 'short_passes_p', + 'medium_passes_p', + 'long_passes_p', + 'sideways_passes', + 'backward_passes', + 'sideways_passes_p', + 'backward_passes_p', + 'successful_passes_p', + 'shots_area_one', + 'shots_area_two', + 'shots_area_three', + 'shots_area_four', + 'shots_area_five', + 'shots_area_six', + 'shots_inside_the_box', + 'shot_off_target', + 'goal_normal', + 'goal_penalty', + 'own_goal', + 'throw_in', + 'crosses_in_play_left', + 'crosses_in_play_right', + 'successful_crosses_in_play_left', + 'successful_crosses_in_play_right', + 'successful_crosses_in_play_left_p', + 'successful_crosses_in_play_right_p', + 'final_third_entries_left', + 'final_third_entries_medium', + 'final_third_entries_right', + 'possessions_area_a1', + 'possessions_area_a2', + 'possessions_area_a3', + 'possessions_area_a4', + 'possessions_area_b1', + 'possessions_area_b2', + 'possessions_area_b3', + 'possessions_area_b4', + 'possessions_area_c1', + 'possessions_area_c2', + 'possessions_area_c3', + 'possessions_area_c4', + 'possessions_area_d1', + 'possessions_area_d2', + 'possessions_area_d3', + 'possessions_area_d4' + ] + + player_df['short_passes_p'] = player_df['short_passes'].divide(player_df['passes']) + + player_df['medium_passes_p'] = player_df['medium_passes'].divide(player_df['passes']) + + player_df['long_passes_p'] = player_df['long_passes'].divide(player_df['passes']) + + player_df['shots_on_target_p'] = player_df['shots_on_target'].divide(player_df['shots']) + + player_df['forward_passes_p'] = player_df['forward_passes'].divide(player_df['passes']) + + player_df['forward_passes_p'] = player_df['forward_passes'].divide( + player_df['forward_passes'] + player_df['sideways_passes'] + player_df['backward_passes']) + + player_df['sideways_passes_p'] = player_df['sideways_passes'].divide( + player_df['forward_passes'] + player_df['sideways_passes'] + player_df['backward_passes']) + + player_df['backward_passes_p'] = player_df['backward_passes'].divide( + player_df['forward_passes'] + player_df['sideways_passes'] + player_df['backward_passes']) + + player_df['successful_crosses_in_play_left_p'] = player_df['successful_crosses_in_play_left'].divide( + player_df['crosses_in_play_left']) + + player_df['successful_crosses_in_play_right_p'] = player_df['successful_crosses_in_play_right'].divide( + player_df['crosses_in_play_right']) + + player_df['successful_passes_p'] = player_df['successful_passes'].divide(player_df['passes']) + + player_df['shots_inside_the_box'] = player_df['shots_area_one'] + player_df['shots_area_two'] + player_df[ + 'shots_area_three'] + player_df['shots_area_four'] + player_df['shots_area_five'] + + player_df.replace([np.inf, -np.inf], np.nan) + + player_df = player_df.reset_index() + player_df = player_df.drop(player_df[player_df['player1'] == ''].index) + # 被犯规 + dd = df.groupby('player2').agg(fouls_received=('event_index', fouls_commited)).reset_index() + dd = dd.drop(dd[dd['player2'] == ''].index) + dd.rename(columns={'player2': 'player1'}, inplace=True) + result = pd.merge(player_df, dd, on='player1', how='outer')[columns] + result.fillna(0, inplace=True) + + list_value = ListValue() + list_value.extend(result.values.tolist()) + return process_pb2.PlayerStatisticalResult( + result=list_value + ) + + def run_passing_matrix(self): + return process_pb2.PassingMatrixResult( + result=ListValue() + ) + + def run_pass_graph(self): + return process_pb2.PassGraphResult( + result=ListValue() + ) diff --git a/proto/process.proto b/proto/process.proto new file mode 100644 index 0000000..64bf351 --- /dev/null +++ b/proto/process.proto @@ -0,0 +1,51 @@ +syntax = "proto3"; + +import "google/protobuf/struct.proto"; + +package process.v1; + +option go_package = "com.dingshudata/football-manager/pkg/grpc/process/v1;processv1"; + + +message MatchMessage { + repeated string names = 1; + int64 homeTeamId = 2; + int64 visitingTeamID = 3; + google.protobuf.ListValue event = 4; +} + +message TeamStatisticalResult { + google.protobuf.ListValue result = 1; +} + +message PlayerStatisticalResult { + google.protobuf.ListValue result = 1; +} + +message PassingMatrixResult { + google.protobuf.ListValue result = 1; +} + +message PassGraphResult { + google.protobuf.ListValue result = 1; +} + +message XmlMessage { + int64 matchId = 1; +} + +message XmlResult { + string status = 1; +} + +service Statistics { + rpc RunTeamStatistics (MatchMessage) returns (TeamStatisticalResult) { + }; + rpc RunPlayerStatistics (MatchMessage) returns (PlayerStatisticalResult) { + }; + rpc RunPassingMatrix (MatchMessage) returns (PassingMatrixResult) { + }; + rpc RunPassGraph (MatchMessage) returns (PassGraphResult) { + }; + rpc RunCreateXml (XmlMessage) returns (XmlResult) {}; +} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..86b0af2 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,7 @@ +pandas >= 2.1.4 +protobuf >= 4.25.2 +grpcio >= 1.60.0 +grpcio_tools >= 1.60.0 +pymysql>=0.9.3 +numpy>=1.26.3 +pyyaml>=5.3.1 \ No newline at end of file diff --git a/server/process_pb2.py b/server/process_pb2.py new file mode 100644 index 0000000..140ca95 --- /dev/null +++ b/server/process_pb2.py @@ -0,0 +1,42 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: process.proto +# Protobuf Python Version: 4.25.0 +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import symbol_database as _symbol_database +from google.protobuf.internal import builder as _builder +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + +from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 + + +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rprocess.proto\x12\nprocess.v1\x1a\x1cgoogle/protobuf/struct.proto\"t\n\x0cMatchMessage\x12\r\n\x05names\x18\x01 \x03(\t\x12\x12\n\nhomeTeamId\x18\x02 \x01(\x03\x12\x16\n\x0evisitingTeamID\x18\x03 \x01(\x03\x12)\n\x05\x65vent\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.ListValue\"C\n\x15TeamStatisticalResult\x12*\n\x06result\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.ListValue\"E\n\x17PlayerStatisticalResult\x12*\n\x06result\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.ListValue\"A\n\x13PassingMatrixResult\x12*\n\x06result\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.ListValue\"=\n\x0fPassGraphResult\x12*\n\x06result\x18\x01 \x01(\x0b\x32\x1a.google.protobuf.ListValue\"\x1d\n\nXmlMessage\x12\x0f\n\x07matchId\x18\x01 \x01(\x03\"\x1b\n\tXmlResult\x12\x0e\n\x06status\x18\x01 \x01(\t2\x93\x03\n\nStatistics\x12R\n\x11RunTeamStatistics\x12\x18.process.v1.MatchMessage\x1a!.process.v1.TeamStatisticalResult\"\x00\x12V\n\x13RunPlayerStatistics\x12\x18.process.v1.MatchMessage\x1a#.process.v1.PlayerStatisticalResult\"\x00\x12O\n\x10RunPassingMatrix\x12\x18.process.v1.MatchMessage\x1a\x1f.process.v1.PassingMatrixResult\"\x00\x12G\n\x0cRunPassGraph\x12\x18.process.v1.MatchMessage\x1a\x1b.process.v1.PassGraphResult\"\x00\x12?\n\x0cRunCreateXml\x12\x16.process.v1.XmlMessage\x1a\x15.process.v1.XmlResult\"\x00\x42@Z>com.dingshudata/football-manager/pkg/grpc/process/v1;processv1b\x06proto3') + +_globals = globals() +_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) +_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'process_pb2', _globals) +if _descriptor._USE_C_DESCRIPTORS == False: + _globals['DESCRIPTOR']._options = None + _globals['DESCRIPTOR']._serialized_options = b'Z>com.dingshudata/football-manager/pkg/grpc/process/v1;processv1' + _globals['_MATCHMESSAGE']._serialized_start=59 + _globals['_MATCHMESSAGE']._serialized_end=175 + _globals['_TEAMSTATISTICALRESULT']._serialized_start=177 + _globals['_TEAMSTATISTICALRESULT']._serialized_end=244 + _globals['_PLAYERSTATISTICALRESULT']._serialized_start=246 + _globals['_PLAYERSTATISTICALRESULT']._serialized_end=315 + _globals['_PASSINGMATRIXRESULT']._serialized_start=317 + _globals['_PASSINGMATRIXRESULT']._serialized_end=382 + _globals['_PASSGRAPHRESULT']._serialized_start=384 + _globals['_PASSGRAPHRESULT']._serialized_end=445 + _globals['_XMLMESSAGE']._serialized_start=447 + _globals['_XMLMESSAGE']._serialized_end=476 + _globals['_XMLRESULT']._serialized_start=478 + _globals['_XMLRESULT']._serialized_end=505 + _globals['_STATISTICS']._serialized_start=508 + _globals['_STATISTICS']._serialized_end=911 +# @@protoc_insertion_point(module_scope) diff --git a/server/process_pb2_grpc.py b/server/process_pb2_grpc.py new file mode 100644 index 0000000..8caf8b1 --- /dev/null +++ b/server/process_pb2_grpc.py @@ -0,0 +1,198 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" +import grpc + +from server import process_pb2 as process__pb2 + + +class StatisticsStub(object): + """Missing associated documentation comment in .proto file.""" + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.RunTeamStatistics = channel.unary_unary( + '/process.v1.Statistics/RunTeamStatistics', + request_serializer=process__pb2.MatchMessage.SerializeToString, + response_deserializer=process__pb2.TeamStatisticalResult.FromString, + ) + self.RunPlayerStatistics = channel.unary_unary( + '/process.v1.Statistics/RunPlayerStatistics', + request_serializer=process__pb2.MatchMessage.SerializeToString, + response_deserializer=process__pb2.PlayerStatisticalResult.FromString, + ) + self.RunPassingMatrix = channel.unary_unary( + '/process.v1.Statistics/RunPassingMatrix', + request_serializer=process__pb2.MatchMessage.SerializeToString, + response_deserializer=process__pb2.PassingMatrixResult.FromString, + ) + self.RunPassGraph = channel.unary_unary( + '/process.v1.Statistics/RunPassGraph', + request_serializer=process__pb2.MatchMessage.SerializeToString, + response_deserializer=process__pb2.PassGraphResult.FromString, + ) + self.RunCreateXml = channel.unary_unary( + '/process.v1.Statistics/RunCreateXml', + request_serializer=process__pb2.XmlMessage.SerializeToString, + response_deserializer=process__pb2.XmlResult.FromString, + ) + + +class StatisticsServicer(object): + """Missing associated documentation comment in .proto file.""" + + def RunTeamStatistics(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RunPlayerStatistics(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RunPassingMatrix(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RunPassGraph(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RunCreateXml(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_StatisticsServicer_to_server(servicer, server): + rpc_method_handlers = { + 'RunTeamStatistics': grpc.unary_unary_rpc_method_handler( + servicer.RunTeamStatistics, + request_deserializer=process__pb2.MatchMessage.FromString, + response_serializer=process__pb2.TeamStatisticalResult.SerializeToString, + ), + 'RunPlayerStatistics': grpc.unary_unary_rpc_method_handler( + servicer.RunPlayerStatistics, + request_deserializer=process__pb2.MatchMessage.FromString, + response_serializer=process__pb2.PlayerStatisticalResult.SerializeToString, + ), + 'RunPassingMatrix': grpc.unary_unary_rpc_method_handler( + servicer.RunPassingMatrix, + request_deserializer=process__pb2.MatchMessage.FromString, + response_serializer=process__pb2.PassingMatrixResult.SerializeToString, + ), + 'RunPassGraph': grpc.unary_unary_rpc_method_handler( + servicer.RunPassGraph, + request_deserializer=process__pb2.MatchMessage.FromString, + response_serializer=process__pb2.PassGraphResult.SerializeToString, + ), + 'RunCreateXml': grpc.unary_unary_rpc_method_handler( + servicer.RunCreateXml, + request_deserializer=process__pb2.XmlMessage.FromString, + response_serializer=process__pb2.XmlResult.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'process.v1.Statistics', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + + + # This class is part of an EXPERIMENTAL API. +class Statistics(object): + """Missing associated documentation comment in .proto file.""" + + @staticmethod + def RunTeamStatistics(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/process.v1.Statistics/RunTeamStatistics', + process__pb2.MatchMessage.SerializeToString, + process__pb2.TeamStatisticalResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RunPlayerStatistics(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/process.v1.Statistics/RunPlayerStatistics', + process__pb2.MatchMessage.SerializeToString, + process__pb2.PlayerStatisticalResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RunPassingMatrix(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/process.v1.Statistics/RunPassingMatrix', + process__pb2.MatchMessage.SerializeToString, + process__pb2.PassingMatrixResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RunPassGraph(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/process.v1.Statistics/RunPassGraph', + process__pb2.MatchMessage.SerializeToString, + process__pb2.PassGraphResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RunCreateXml(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/process.v1.Statistics/RunCreateXml', + process__pb2.XmlMessage.SerializeToString, + process__pb2.XmlResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata)