本文整理汇总了Python中DataModel.getTeamAttributesWithValue方法的典型用法代码示例。如果您正苦于以下问题：Python DataModel.getTeamAttributesWithValue方法的具体用法？Python DataModel.getTeamAttributesWithValue怎么用？Python DataModel.getTeamAttributesWithValue使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类DataModel的用法示例。
在下文中一共展示了DataModel.getTeamAttributesWithValue方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_team_rankings_json
# 需要导入模块: import DataModel [as 别名]
# 或者: from DataModel import getTeamAttributesWithValue [as 别名]
def get_team_rankings_json(global_config, season, event, attr_filters=[], filter_name=None,
thumbnails = False, store_json_file=False):
global_config['logger'].debug( 'GET Team Rankings Json' )
store_data_to_file = False
comp = WebCommonUtils.map_event_code_to_comp(event, season)
session = DbSession.open_db_session(global_config['db_name'] + season)
result = []
result.append('{ "rankings": [\n')
rank_added = False
if len(attr_filters) == 0:
team_rankings = DataModel.getTeamsInRankOrder(session, comp, False)
for team in team_rankings:
# round the score to an integer value
team.score = float(int(team.score))
if team.score > 0:
thumbnails_snippet = ''
if thumbnails:
thumbnails_snippet = ',\n' + get_team_scouting_thumbnails_json_snippet(global_config, comp, str(team.team))
result.append( ' { "score": %0.1f, "competition": "%s", "team": %d%s }' % (team.score, comp, team.team,thumbnails_snippet))
result.append(',\n')
rank_added = True
else:
# we'll need the attribute definitions in order to retrieve the correct attribute value
# and attribute weighting
attrdef_filename = WebCommonUtils.get_attrdef_filename(comp=comp)
attr_definitions = AttributeDefinitions.AttrDefinitions(global_config)
attr_definitions.parse(attrdef_filename)
team_rank_dict = dict()
for attr_filter in attr_filters:
try:
attr_name, attr_value = attr_filter.split('=')
except:
attr_name = attr_filter
attr_value = None
attr_def = attr_definitions.get_definition(attr_name)
if attr_value is None:
team_rankings = DataModel.getTeamAttributesInRankOrder(session, comp, attr_name, False)
for team in team_rankings:
try:
stat_type = attr_def['Statistic_Type']
except:
stat_type = 'Total'
weight = int(float(attr_def['Weight']))
if stat_type == 'Average':
score = int(team.cumulative_value/team.num_occurs*weight)
else:
score = int(team.cumulative_value*weight)
try:
team_rank_dict[team.team] += score
except:
team_rank_dict[team.team] = score
else:
team_rankings = DataModel.getTeamAttributesWithValue(session, comp, attr_name, attr_value, False)
for team in team_rankings:
score = team.all_values.count(attr_value)
try:
team_rank_dict[team.team] += score
except:
team_rank_dict[team.team] = score
sorted_team_rank = sorted(team_rank_dict.items(), key=operator.itemgetter(1))
for team, score in sorted_team_rank:
# round the score to an integer value
score = float(int(score))
if score > 0:
thumbnails_snippet = ''
if thumbnails:
thumbnails_snippet = ',\n' + get_team_scouting_thumbnails_json_snippet(global_config, comp, str(team))
result.append( ' { "score": %0.1f, "competition": "%s", "team": %d%s }' % (score, comp, team, thumbnails_snippet))
result.append(',\n')
rank_added = True
if rank_added == True:
result = result[:-1]
result.append(']}')
json_str = ''.join(result)
if store_json_file is True:
try:
if filter_name is None:
file_name = 'scoutingrankings'
else:
file_name = 'scoutingrankings_%s' % filter_name
#.........这里部分代码省略.........