def test_write_file():
path = os.path.abspath(__file__)
for _ in range(4):
path = os.path.dirname(path)
data = va_data_source.DataSource(event=test_event_name, season=test_season)
fpath = path + test_file_name
data.write_file(fpath)
file_data = va_data_source.DataSource(fpath)
os.remove(fpath)
assert isinstance(file_data, va_data_source.DataSource)
assert file_data.event == test_event_name
assert file_data.season == test_season
assert not file_data.from_sql
assert isinstance(file_data.status, pd.DataFrame)
def test_write_vif():
path = os.path.abspath(__file__)
for _ in range(4):
path = os.path.dirname(path)
data = va_data_source.DataSource(event=test_event_name, season=test_season)
fpath = path + r'\vif.pickle'
data.write_file(fpath)
def test_multiselect():
data = va_data_source.DataSource(event=test_event_name, season=test_season)
assert isinstance(data.enum_tasks, list)
assert len(data.enum_tasks) > 7
assert 'launchLower' in data.enum_tasks
oneteam = va_oneteam.OneTeam(data)
layout = oneteam.layout_1t('2046', ['launchLower'])
def test_oneteam():
data = va_data_source.DataSource(event='test_event_2', season='2020')
oneteam = va_oneteam.OneTeam(data)
assert isinstance(oneteam.data.measures, pd.DataFrame)
assert isinstance(oneteam.data.schedule, pd.DataFrame)
assert oneteam.data.measures.shape[1] == 20
assert len(oneteam.list_teams()) > 15
plot = oneteam.plot_1t('1318')
assert isinstance(oneteam.df_new_1t('1318'), pd.DataFrame)
def test_data_source():
data = va_data_source.DataSource(event=test_event_name, season=test_season)
assert isinstance(data, va_data_source.DataSource)
assert isinstance(data.measures, pd.DataFrame)
assert data.measures.shape[0] > 1000
assert data.measures.shape[1] == 20
assert isinstance(data.schedule, pd.DataFrame)
assert isinstance(data.teams, pd.DataFrame)
assert data.teams.shape[1] == 8
assert data.teams.shape[0] > 20
assert data.event == test_event_name
assert data.season == test_season
def test_rankingtable():
data_source = va_data_source.DataSource(event='test_event_2', season='2020')
rt = rankingtable.rankingTable(data_source)
rt.panel()
import pandas as pd
import viewer_app.sixteam as svv
import server.model.event as sme
import viewer_app.data_source as va_data_source
data_source = va_data_source.DataSource(event='wasno',
season='2020')
def test_viewer():
viewer = svv.SixTeam(data_source)
evt = sme.EventDal.get_current_event()
assert evt[1] == 'wasno'
assert evt[2] == '2020'
assert viewer.measures.shape[0] > 1000
assert viewer.measures.shape[1] == 20
assert isinstance(viewer.schedule, pd.DataFrame)
assert isinstance(viewer.teams, pd.DataFrame)
matches = viewer.list_matches()
assert len(matches) > 10
assert matches[0] == '001-q'
import viewer_app.data_source as va_data_source
import viewer_app.sixteam as va_sixteam
import viewer_app.rankingtable as va_rankingtable
import viewer_app.pointschart as va_pointschart
import viewer_app.oneteam as va_oneteam
import viewer_app.file_management as va_fm
# if len(sys.argv) >= 2:
# if sys.argv[1] == 'sql':
# data_source = va_data_source.DataSource(event='test_event_2',
# season='2020')
# else:
# data_source = va_data_source.DataSource(fname='vif.pickle')
if sys.argv[1] == 'sql':
data_source = va_data_source.DataSource(event='wasno',
season='2020')
else:
data_source = va_data_source.DataSource(fname= 'vif.pickle')
#data_source = va_data_source.DataSource(event='wasno', season='2020')
panels = []
file_manager = va_fm.DataFile(data_source)
panels.append(file_manager.panel_file_management())
# sixteam = va_sixteam.SixTeam(data_source)
# panels.append(sixteam.panel('001-q'))
oneteam_tasks = ['launchOuter', 'climbPosition']
oneteam = va_oneteam.OneTeam(data_source)
def test_num_teams():
data = va_data_source.DataSource(event=test_event_name, season=test_season)
print()
print(data.teams)
def test_enum_measures():
data = va_data_source.DataSource(event=test_event_name, season=test_season)
enum_meas = data._enum_preprocess()
def test_panel():
data = va_data_source.DataSource(event=test_event_name, season=test_season)
oneteam = va_oneteam.OneTeam(data)
panel = oneteam.panel_1t('1318', ['launchOuter', 'climbPosition'])
import bokeh.plotting as bk_plt
import bokeh.models as bk_models
import viewer_app.data_source as va_data_source
import viewer_app.sixteam as va_sixteam
import viewer_app.oneteam as va_oneteam
data_source = va_data_source.DataSource(event='test_event_2', season='2020')
panels = []
sixteam = va_sixteam.SixTeam(data_source)
panels.append(sixteam.panel('001-q'))
oneteam_tasks = ['shootUpper', 'climbPosition']
oneteam = va_oneteam.OneTeam(data_source)
panels.append(oneteam.panel_1t('1318', ['shootUpper', 'shootLower']))
tabs = bk_models.Tabs(tabs=panels)
bk_plt.curdoc().add_root(tabs)
def test_file_manage():
file = va_fm.DataFile()
ds = va_data_source.DataSource()
ds.write_file(fname='test_pickle')
ds = va_data_source.DataSource('test_pickle')
def test_sixteam():
data = va_data_source.DataSource(event='wasno', season='2020')
sixteam = va_sixteam.SixTeam(data)
print(sixteam.data.schedule)
# plot = sixteam.total_1t('1318', ['noShow'])
print(sixteam.df_new_6t('red', '010-q'))
def test_noshow():
data = va_data_source.DataSource(event='test_event_2', season='2020')
oneteam = va_oneteam.OneTeam(data)
plot = oneteam.total_1t('1318', ['noShow'])