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https://github.com/titanscouting/tra-superscript.git
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finished rough outline for Match module
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
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@ -1,4 +1,7 @@
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import data as d
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import signal
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import numpy as np
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import tra_analysis as an
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class AutoVivification(dict):
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def __getitem__(self, item):
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@ -31,6 +34,7 @@ class Match:
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teams = None
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data = []
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results = []
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def __init__(self, config, apikey, tbakey, timestamp, teams):
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self.config = config
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@ -63,10 +67,53 @@ class Match:
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for competition in competitions:
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for variable in self.config["tests"]:
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match_data = d.get_team_match_data(self.apikey, competition, team, variable) # needs modified implementation
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self.data.append((team, competition, variable, match_data))
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variable_tests = self.config["tests"][variable]
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self.data.append({"team": team, "competition": competition, "variable": variable, "tests": variable_tests, "data": match_data})
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def tests(test_data):
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signal.signal(signal.SIGINT, signal.SIG_IGN)
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if(test_data["data"] == None):
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return None
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data = np.array(test_data["data"])
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data = data[np.isfinite(data)]
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ranges = list(range(len(data)))
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tests = test_data["tests"]
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results = AutoVivification()
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if "basic_stats" in tests:
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results["basic_stats"] = an.basic_stats(data)
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if "historical_analysis" in tests:
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results["historical_analysis"] = an.histo_analysis([ranges, data])
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if "regression_linear" in tests:
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results["regression_linear"] = an.regression(ranges, data, ['lin'])
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if "regression_logarithmic" in tests:
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results["regression_logarithmic"] = an.regression(ranges, data, ['log'])
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if "regression_exponential" in tests:
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results["regression_exponential"] = an.regression(ranges, data, ['exp'])
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if "regression_polynomial" in tests:
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results["regression_polynomial"] = an.regression(ranges, data, ['ply'])
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if "regression_sigmoidal" in tests:
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results["regression_sigmoidal"] = an.regression(ranges, data, ['sig'])
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return results
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def process_data(self, exec_threads):
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pass
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self.results = list(exec_threads.map(self.tests, self.data))
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def push_results(self):
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pass
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short_mapping = {"regression_linear": "lin", "regression_logarithmic": "log", "regression_exponential": "exp", "regression_polynomial": "ply", "regression_sigmoidal": "sig"}
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results_short = AutoVivification()
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i = 0
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for result in self.results:
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for variable in result:
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if variable in short_mapping:
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short = short_mapping[variable]
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else:
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short = variable
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d.push_team_match_results(self.data[i]["team"], self.data[i]["competition"], self.data[i]["variable"], short, result[variable])
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#results_short[ self.data["team"] ][ self.data["competition"] ][ self.data["variable"] ][short] = result[variable]
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i+=1
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