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https://github.com/titanscouting/tra-superscript.git
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added Metric, Pit modules (theoretically working)
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
Former-commit-id: 3ac4e96d2d
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@ -19,14 +19,15 @@ class Module:
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pass
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class Match:
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config = None
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apikey = None
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tbakey = None
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timestamp = None
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competition = None
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data = []
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results = []
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data = None
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results = None
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def __init__(self, config, apikey, tbakey, timestamp, competition):
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self.config = config
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@ -125,4 +126,162 @@ class Match:
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self.results = return_vector
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d.push_match(self.apikey, self.competition, self.results)
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d.push_match(self.apikey, self.competition, self.results)
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class Metric:
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config = None
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apikey = None
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tbakey = None
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timestamp = None
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competition = None
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data = None
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results = None
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def __init__(self, config, apikey, tbakey, timestamp, competition):
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self.config = config
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self.apikey = apikey
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self.tbakey = tbakey
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self.timestamp = timestamp
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self.competition = competition
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def validate_config(self):
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return True, ""
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def load_data(self):
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self.data = d.pull_new_tba_matches(self.apikey, self.competition, self.timestamp)
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def process_data(self, exec_threads):
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elo_N = self.config["elo"]["N"]
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elo_K = self.config["elo"]["K"]
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matches = self.data
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red = {}
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blu = {}
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for match in matches:
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red = d.load_metric(self.apikey, self.competition, match, "red", self.config)
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blu = d.load_metric(self.apikey, self.competition, match, "blue", self.config)
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elo_red_total = 0
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elo_blu_total = 0
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gl2_red_score_total = 0
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gl2_blu_score_total = 0
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gl2_red_rd_total = 0
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gl2_blu_rd_total = 0
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gl2_red_vol_total = 0
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gl2_blu_vol_total = 0
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for team in red:
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elo_red_total += red[team]["elo"]["score"]
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gl2_red_score_total += red[team]["gl2"]["score"]
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gl2_red_rd_total += red[team]["gl2"]["rd"]
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gl2_red_vol_total += red[team]["gl2"]["vol"]
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for team in blu:
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elo_blu_total += blu[team]["elo"]["score"]
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gl2_blu_score_total += blu[team]["gl2"]["score"]
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gl2_blu_rd_total += blu[team]["gl2"]["rd"]
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gl2_blu_vol_total += blu[team]["gl2"]["vol"]
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red_elo = {"score": elo_red_total / len(red)}
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blu_elo = {"score": elo_blu_total / len(blu)}
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red_gl2 = {"score": gl2_red_score_total / len(red), "rd": gl2_red_rd_total / len(red), "vol": gl2_red_vol_total / len(red)}
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blu_gl2 = {"score": gl2_blu_score_total / len(blu), "rd": gl2_blu_rd_total / len(blu), "vol": gl2_blu_vol_total / len(blu)}
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if match["winner"] == "red":
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observations = {"red": 1, "blu": 0}
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elif match["winner"] == "blue":
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observations = {"red": 0, "blu": 1}
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else:
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observations = {"red": 0.5, "blu": 0.5}
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red_elo_delta = an.Metric().elo(red_elo["score"], blu_elo["score"], observations["red"], elo_N, elo_K) - red_elo["score"]
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blu_elo_delta = an.Metric().elo(blu_elo["score"], red_elo["score"], observations["blu"], elo_N, elo_K) - blu_elo["score"]
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new_red_gl2_score, new_red_gl2_rd, new_red_gl2_vol = an.Metric().glicko2(red_gl2["score"], red_gl2["rd"], red_gl2["vol"], [blu_gl2["score"]], [blu_gl2["rd"]], [observations["red"], observations["blu"]])
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new_blu_gl2_score, new_blu_gl2_rd, new_blu_gl2_vol = an.Metric().glicko2(blu_gl2["score"], blu_gl2["rd"], blu_gl2["vol"], [red_gl2["score"]], [red_gl2["rd"]], [observations["blu"], observations["red"]])
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red_gl2_delta = {"score": new_red_gl2_score - red_gl2["score"], "rd": new_red_gl2_rd - red_gl2["rd"], "vol": new_red_gl2_vol - red_gl2["vol"]}
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blu_gl2_delta = {"score": new_blu_gl2_score - blu_gl2["score"], "rd": new_blu_gl2_rd - blu_gl2["rd"], "vol": new_blu_gl2_vol - blu_gl2["vol"]}
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for team in red:
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red[team]["elo"]["score"] = red[team]["elo"]["score"] + red_elo_delta
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red[team]["gl2"]["score"] = red[team]["gl2"]["score"] + red_gl2_delta["score"]
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red[team]["gl2"]["rd"] = red[team]["gl2"]["rd"] + red_gl2_delta["rd"]
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red[team]["gl2"]["vol"] = red[team]["gl2"]["vol"] + red_gl2_delta["vol"]
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for team in blu:
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blu[team]["elo"]["score"] = blu[team]["elo"]["score"] + blu_elo_delta
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blu[team]["gl2"]["score"] = blu[team]["gl2"]["score"] + blu_gl2_delta["score"]
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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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temp_vector = {}
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temp_vector.update(red)
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temp_vector.update(blu)
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d.push_metric(self.client, self.competition, temp_vector)
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def push_results(self):
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pass
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class Pit:
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config = None
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apikey = None
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tbakey = None
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timestamp = None
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competition = None
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data = None
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results = None
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def __init__(self, config, apikey, tbakey, timestamp, competition):
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self.config = config
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self.apikey = apikey
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self.tbakey = tbakey
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self.timestamp = timestamp
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self.competition = competition
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def validate_config(self):
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return True, ""
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def load_data(self):
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self.data = d.load_pit(self.apikey, self.competition)
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def process_data(self, exec_threads):
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return_vector = {}
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for team in self.data:
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for variable in self.data[team]:
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if variable in self.config:
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if not variable in return_vector:
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return_vector[variable] = []
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return_vector[variable].append(self.data[team][variable])
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self.results = return_vector
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def push_results(self):
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d.push_pit(self.apikey, self.competition, self.results)
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