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https://github.com/titanscouting/tra-analysis.git
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maybe working
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parent
2fa0d75a30
commit
548668e2a4
@ -1,9 +1,11 @@
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2020ilch
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2020ilch
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balls-blocked,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-blocked,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-collected,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-collected,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-lower,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-lower-teleop,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-lower-auto,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-started,basic_stats,historical_analyss,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-started,basic_stats,historical_analyss,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-upper,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-upper-teleop,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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balls-upper-auto,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
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wheel-mechanism
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wheel-mechanism
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low-balls
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low-balls
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high-balls
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high-balls
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@ -114,7 +114,7 @@ def main():
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print(" finished tests")
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print(" finished tests")
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print(" running metrics")
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print(" running metrics")
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metrics = metricsloop(tbakey, apikey, competition, previous_time)
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metricsloop(tbakey, apikey, competition, previous_time)
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print(" finished metrics")
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print(" finished metrics")
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print(" running pit analysis")
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print(" running pit analysis")
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@ -176,16 +176,12 @@ def simplestats(data, test):
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if(test == "regression_sigmoidal"):
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if(test == "regression_sigmoidal"):
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return an.regression(list(range(len(data))), data, ['sig'])
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return an.regression(list(range(len(data))), data, ['sig'])
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def push_to_database(apikey, competition, results, metrics, pit):
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def push_to_database(apikey, competition, results, pit):
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for team in results:
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for team in results:
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d.push_team_tests_data(apikey, competition, team, results[team])
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d.push_team_tests_data(apikey, competition, team, results[team])
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for team in temp_vector:
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d.push_team_metrics_data(apikey, competition, team, temp_vector[team])
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for variable in pit:
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for variable in pit:
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d.push_team_pit_data(apikey, competition, variable, pit[variable])
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d.push_team_pit_data(apikey, competition, variable, pit[variable])
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@ -202,11 +198,11 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
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red = {}
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red = {}
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blu = {}
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blu = {}
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for match in matches:
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red = load_metrics(apikey, competition, match, "red")
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red = load_metrics(apikey, competition, match, "red")
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blu = load_metrics(apikey, competition, match, "blue")
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blu = load_metrics(apikey, competition, match, "blue")
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for match in matches:
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elo_red_total = 0
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elo_red_total = 0
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elo_blu_total = 0
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elo_blu_total = 0
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@ -279,6 +275,14 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
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blu[team]["gl2"]["rd"] = blu[team]["gl2"]["rd"] + blu_gl2_delta["rd"]
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blu[team]["gl2"]["rd"] = blu[team]["gl2"]["rd"] + blu_gl2_delta["rd"]
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blu[team]["gl2"]["vol"] = blu[team]["gl2"]["vol"] + blu_gl2_delta["vol"]
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blu[team]["gl2"]["vol"] = blu[team]["gl2"]["vol"] + blu_gl2_delta["vol"]
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temp_vector = {}
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temp_vector.update(red)
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temp_vector.update(blu)
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for team in temp_vector:
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d.push_team_metrics_data(apikey, competition, team, temp_vector[team])
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""" not functional for now
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""" not functional for now
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red_trueskill = []
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red_trueskill = []
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blu_trueskill = []
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blu_trueskill = []
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@ -305,11 +309,6 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
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"""
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"""
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return_vector.update(red)
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return_vector.update(blue)
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return return_vector
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def load_metrics(apikey, competition, match, group_name):
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def load_metrics(apikey, competition, match, group_name):
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group = {}
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group = {}
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