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HensightStatsManager.py
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HensightStatsManager.py
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from MatchData import MatchData
class HensightStatsManager:
def __init__(self, data):
self.data = data
self.current_event_data = self.data.at_event_data
self.current_events_data = self.data.current_event_data
self.hensight_stats = {
"global_high_score": 0,
"current_high_score": 0,
"event_high_score": 0,
"global_auto_notes": 0,
"current_auto_notes": 0,
"event_auto_notes": 0,
"global_tele_notes": 0,
"current_tele_notes": 0,
"event_tele_notes": 0,
"global_trap_notes": 0,
"current_trap_notes": 0,
"event_trap_notes": 0,
"global_spotlight_notes": 0,
"current_spotlight_notes": 0,
"event_spotlight_notes": 0,
"global_spotlight_note_percentage": 0.0,
"current_spotlight_note_percentage": 0.0,
"event_spotlight_note_percentage": 0.0,
"global_speaker_notes": 0,
"current_speaker_notes": 0,
"event_speaker_notes": 0,
"global_amplified_speaker_notes": 0,
"current_amplified_speaker_notes": 0,
"event_amplified_speaker_notes": 0,
"global_amp_notes": 0,
"current_amp_notes": 0,
"event_amp_notes": 0,
"global_total_notes": 0,
"current_total_notes": 0,
"event_total_notes": 0,
"global_distance_traveled": 0,
"current_distance_traveled": 0,
"event_distance_traveled": 0,
"global_red_alliance_score": 0,
"current_red_alliance_score": 0,
"event_red_alliance_score": 0,
"global_blue_alliance_score": 0,
"current_blue_alliance_score": 0,
"event_blue_alliance_score": 0,
"global_melody_percentage": 0,
"current_melody_percentage": 0,
"event_melody_percentage": 0,
"global_ensemble_percentage": 0,
"current_ensemble_percentage": 0,
"event_ensemble_percentage": 0,
"global_rp": 0,
"current_rp": 0,
"event_rp": 0,
"global_co_op": 0,
"current_co_op": 0,
"event_co_op": 0,
}
def update_stats(self):
global_max_score = 0
current_max_score = 0
event_max_score = 0
global_auto_notes = 0
current_auto_notes = 0
event_auto_notes = 0
global_tele_notes = 0
current_tele_notes = 0
event_tele_notes = 0
global_trap_notes = 0
current_trap_notes = 0
event_trap_notes = 0
global_spotlight_notes = 0
current_spotlight_notes = 0
event_spotlight_notes = 0
global_speaker_notes = 0
current_speaker_notes = 0
event_speaker_notes = 0
global_amplified_speaker_notes = 0
current_amplified_speaker_notes = 0
event_amplified_speaker_notes = 0
global_amp_notes = 0
current_amp_notes = 0
event_amp_notes = 0
global_total_notes = 0
current_total_notes = 0
event_total_notes = 0
global_distance_traveled = 0
current_distance_traveled = 0
event_distance_traveled = 0
global_red_alliance_score = 0
current_red_alliance_score = 0
event_red_alliance_score = 0
global_blue_alliance_score = 0
current_blue_alliance_score = 0
event_blue_alliance_score = 0
global_number_of_matches = 0
current_number_of_matches = 0
event_number_of_matches = 0
global_melody_rp = 0
current_melody_rp = 0
event_melody_rp = 0
global_ensemble_rp = 0
current_ensemble_rp = 0
event_ensemble_rp = 0
global_rp = 0
current_rp = 0
event_rp = 0
global_co_op = 0
current_co_op = 0
event_co_op = 0
print(self.data.event_to_match_data)
for matches in self.data.event_to_match_data.values():
if type(matches) != MatchData:
for match_data in matches.values():
if match_data.scoringData.score_breakdown is not None:
global_number_of_matches = global_number_of_matches + 1
if match_data.maxScore > global_max_score:
global_max_score = match_data.maxScore
new_auto_notes = (
match_data.autoAmpNotes + match_data.autoSpeakerNotes
)
global_auto_notes = global_auto_notes + new_auto_notes
global_tele_notes = global_tele_notes + (
match_data.totalNotes - new_auto_notes
)
global_trap_notes = global_trap_notes + match_data.trapNotes
global_spotlight_notes = (
global_spotlight_notes + match_data.numberOfSpotlights
)
global_speaker_notes = (
global_speaker_notes + match_data.totalSpeakerNotes
)
global_amplified_speaker_notes = (
global_amplified_speaker_notes
+ match_data.amplifiedSpeakerNotes
)
global_amp_notes = global_amp_notes + match_data.totalAmpNotes
global_total_notes = global_total_notes + match_data.totalNotes
global_distance_traveled = (
global_distance_traveled + match_data.totalDistanceTraveled
)
global_red_alliance_score = (
global_red_alliance_score + match_data.redScore
)
global_blue_alliance_score = (
global_blue_alliance_score + match_data.blueScore
)
if match_data.melodyRP != 0:
global_melody_rp = global_melody_rp + 1
if match_data.ensembleRP != 0:
global_ensemble_rp = global_ensemble_rp + 1
global_rp = global_rp + match_data.totalRP
# global_co_op = global_co_op + match_data.coop
for match_data in self.current_event_data.values():
if match_data.scoringData.score_breakdown is not None:
event_number_of_matches = event_number_of_matches + 1
if match_data.maxScore > event_max_score:
event_max_score = match_data.maxScore
new_auto_notes = match_data.autoAmpNotes + match_data.autoSpeakerNotes
event_auto_notes = event_auto_notes + new_auto_notes
event_tele_notes = event_tele_notes + (
match_data.totalNotes - new_auto_notes
)
event_trap_notes = event_trap_notes + match_data.trapNotes
event_spotlight_notes = (
event_spotlight_notes + match_data.numberOfSpotlights
)
event_speaker_notes = event_speaker_notes + match_data.totalSpeakerNotes
event_amplified_speaker_notes = (
event_amplified_speaker_notes + match_data.amplifiedSpeakerNotes
)
event_amp_notes = event_amp_notes + match_data.totalAmpNotes
event_total_notes = event_total_notes + match_data.totalNotes
event_distance_traveled = (
event_distance_traveled + match_data.totalDistanceTraveled
)
event_red_alliance_score = event_red_alliance_score + match_data.redScore
event_blue_alliance_score = event_blue_alliance_score + match_data.blueScore
if match_data.melodyRP != 0:
event_melody_rp = event_melody_rp + 1
if match_data.ensembleRP != 0:
event_ensemble_rp = event_ensemble_rp + 1
event_rp = event_rp + match_data.totalRP
# event_co_op = event_co_op + match_data.coop
for matches in self.current_events_data:
if type(matches) != MatchData:
for match_data in matches.values():
if match_data.scoringData.score_breakdown is not None:
current_number_of_matches = current_number_of_matches + 1
if match_data.maxScore > current_max_score:
current_max_score = match_data.maxScore
new_auto_notes = (
match_data.autoAmpNotes + match_data.autoSpeakerNotes
)
current_auto_notes = current_auto_notes + new_auto_notes
current_tele_notes = current_tele_notes + (
match_data.totalNotes - new_auto_notes
)
current_trap_notes = current_trap_notes + match_data.trapNotes
current_spotlight_notes = (
current_spotlight_notes + match_data.numberOfSpotlights
)
current_speaker_notes = (
current_speaker_notes + match_data.totalSpeakerNotes
)
current_amplified_speaker_notes = (
current_amplified_speaker_notes
+ match_data.amplifiedSpeakerNotes
)
current_amp_notes = current_amp_notes + match_data.totalAmpNotes
current_total_notes = current_total_notes + match_data.totalNotes
current_distance_traveled = (
current_distance_traveled + match_data.totalDistanceTraveled
)
current_red_alliance_score = (
current_red_alliance_score + match_data.redScore
)
current_blue_alliance_score = (
current_blue_alliance_score + match_data.blueScore
)
if match_data.melodyRP != 0:
current_melody_rp = current_melody_rp + 1
if match_data.ensembleRP != 0:
current_ensemble_rp = current_ensemble_rp + 1
current_rp = current_rp + match_data.totalRP
# current_co_op = current_co_op + match_data.coop
self.hensight_stats["global_high_score"] = global_max_score
self.hensight_stats["current_high_score"] = current_max_score
self.hensight_stats["event_high_score"] = event_max_score
self.hensight_stats["global_auto_notes"] = global_auto_notes
self.hensight_stats["current_auto_notes"] = current_auto_notes
self.hensight_stats["event_auto_notes"] = event_auto_notes
self.hensight_stats["global_tele_notes"] = global_tele_notes
self.hensight_stats["current_tele_notes"] = current_tele_notes
self.hensight_stats["event_tele_notes"] = event_tele_notes
self.hensight_stats["global_trap_notes"] = global_trap_notes
self.hensight_stats["current_trap_notes"] = current_trap_notes
self.hensight_stats["event_trap_notes"] = event_trap_notes
self.hensight_stats["global_spotlight_notes"] = global_spotlight_notes
self.hensight_stats["current_spotlight_notes"] = current_spotlight_notes
self.hensight_stats["event_spotlight_notes"] = event_spotlight_notes
self.hensight_stats["global_spotlight_note_percentage"] = (
global_spotlight_notes / (6 * global_number_of_matches)
)
if current_number_of_matches != 0:
self.hensight_stats["event_spotlight_note_percentage"] = (
event_spotlight_notes / (6 * event_number_of_matches)
)
if event_number_of_matches != 0:
self.hensight_stats["event_spotlight_note_percentage"] = (
event_spotlight_notes / (6 * event_number_of_matches)
)
self.hensight_stats["global_speaker_notes"] = global_speaker_notes
self.hensight_stats["current_speaker_notes"] = current_speaker_notes
self.hensight_stats["event_speaker_notes"] = event_speaker_notes
self.hensight_stats["global_amplified_speaker_notes"] = (
global_amplified_speaker_notes
)
self.hensight_stats["current_amplified_speaker_notes"] = (
current_amplified_speaker_notes
)
self.hensight_stats["event_amplified_speaker_notes"] = (
event_amplified_speaker_notes
)
self.hensight_stats["global_amp_notes"] = global_amp_notes
self.hensight_stats["current_amp_notes"] = current_amp_notes
self.hensight_stats["event_amp_notes"] = event_amp_notes
self.hensight_stats["global_total_notes"] = global_total_notes
self.hensight_stats["current_total_notes"] = current_total_notes
self.hensight_stats["event_total_notes"] = event_total_notes
self.hensight_stats["global_distance_traveled"] = global_distance_traveled
self.hensight_stats["current_distance_traveled"] = current_distance_traveled
self.hensight_stats["event_distance_traveled"] = event_distance_traveled
self.hensight_stats["global_red_alliance_score"] = global_red_alliance_score
self.hensight_stats["current_red_alliance_score"] = current_red_alliance_score
self.hensight_stats["event_red_alliance_score"] = event_red_alliance_score
self.hensight_stats["global_blue_alliance_score"] = global_blue_alliance_score
self.hensight_stats["current_blue_alliance_score"] = current_blue_alliance_score
self.hensight_stats["event_blue_alliance_score"] = event_blue_alliance_score