2020-05-13 01:54:19 +00:00
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import requests
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def pull_new_tba_matches(apikey, competition, cutoff):
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api_key= apikey
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2021-08-18 03:26:47 +00:00
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x=requests.get("https://www.thebluealliance.com/api/v3/event/"+competition+"/matches/simple", headers={"X-TBA-Auth_Key":api_key}, verify=False)
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2020-05-13 01:54:19 +00:00
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out = []
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for i in x.json():
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2020-05-20 13:52:38 +00:00
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if i["actual_time"] != None and i["actual_time"]-cutoff >= 0 and i["comp_level"] == "qm":
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2020-05-13 01:54:19 +00:00
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out.append({"match" : i['match_number'], "blue" : list(map(lambda x: int(x[3:]), i['alliances']['blue']['team_keys'])), "red" : list(map(lambda x: int(x[3:]), i['alliances']['red']['team_keys'])), "winner": i["winning_alliance"]})
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return out
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2021-08-17 21:02:08 +00:00
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def get_team_match_data(client, competition, team_num):
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2020-05-13 01:54:19 +00:00
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db = client.data_scouting
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mdata = db.matchdata
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out = {}
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for i in mdata.find({"competition" : competition, "team_scouted": team_num}):
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out[i['match']] = i['data']
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return pd.DataFrame(out)
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2021-08-17 21:02:08 +00:00
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def get_team_pit_data(client, competition, team_num):
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2020-05-13 01:54:19 +00:00
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db = client.data_scouting
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mdata = db.pitdata
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out = {}
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return mdata.find_one({"competition" : competition, "team_scouted": team_num})["data"]
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2021-08-17 21:02:08 +00:00
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def get_team_metrics_data(client, competition, team_num):
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2020-05-13 01:54:19 +00:00
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db = client.data_processing
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mdata = db.team_metrics
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return mdata.find_one({"competition" : competition, "team": team_num})
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2021-08-17 21:02:08 +00:00
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def get_match_data_formatted(client, competition):
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2020-05-20 13:52:38 +00:00
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db = client.data_scouting
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mdata = db.teamlist
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x=mdata.find_one({"competition":competition})
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2020-05-13 01:54:19 +00:00
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out = {}
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2020-05-20 13:52:38 +00:00
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for i in x:
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try:
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2021-08-17 21:02:08 +00:00
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out[int(i)] = unkeyify_2l(get_team_match_data(client, competition, int(i)).transpose().to_dict())
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2020-05-20 13:52:38 +00:00
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except:
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pass
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2020-05-13 01:54:19 +00:00
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return out
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2021-08-17 21:02:08 +00:00
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def get_metrics_data_formatted(client, competition):
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2020-05-13 01:54:19 +00:00
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db = client.data_scouting
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mdata = db.teamlist
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x=mdata.find_one({"competition":competition})
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out = {}
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for i in x:
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try:
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2021-08-17 21:02:08 +00:00
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out[int(i)] = get_team_metrics_data(client, competition, int(i))
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2020-05-13 01:54:19 +00:00
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except:
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pass
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return out
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2021-08-17 21:02:08 +00:00
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def get_pit_data_formatted(client, competition):
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2020-05-13 01:54:19 +00:00
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db = client.data_scouting
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mdata = db.teamlist
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x=mdata.find_one({"competition":competition})
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out = {}
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for i in x:
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try:
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2021-08-17 21:02:08 +00:00
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out[int(i)] = get_team_pit_data(client, competition, int(i))
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2020-05-13 01:54:19 +00:00
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except:
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pass
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return out
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2021-08-17 21:02:08 +00:00
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def get_pit_variable_data(client, competition):
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2020-05-20 13:52:38 +00:00
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db = client.data_processing
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mdata = db.team_pit
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out = {}
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return mdata.find()
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2021-08-17 21:02:08 +00:00
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def get_pit_variable_formatted(client, competition):
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temp = get_pit_variable_data(client, competition)
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2020-05-20 13:52:38 +00:00
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out = {}
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for i in temp:
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out[i["variable"]] = i["data"]
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return out
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2021-08-17 21:02:08 +00:00
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def push_team_tests_data(client, competition, team_num, data, dbname = "data_processing", colname = "team_tests"):
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2020-05-13 01:54:19 +00:00
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db = client[dbname]
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mdata = db[colname]
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mdata.replace_one({"competition" : competition, "team": team_num}, {"_id": competition+str(team_num)+"am", "competition" : competition, "team" : team_num, "data" : data}, True)
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2021-08-17 21:02:08 +00:00
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def push_team_metrics_data(client, competition, team_num, data, dbname = "data_processing", colname = "team_metrics"):
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2020-05-13 01:54:19 +00:00
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db = client[dbname]
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mdata = db[colname]
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mdata.replace_one({"competition" : competition, "team": team_num}, {"_id": competition+str(team_num)+"am", "competition" : competition, "team" : team_num, "metrics" : data}, True)
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2021-08-17 21:02:08 +00:00
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def push_team_pit_data(client, competition, variable, data, dbname = "data_processing", colname = "team_pit"):
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2020-05-13 01:54:19 +00:00
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db = client[dbname]
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mdata = db[colname]
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mdata.replace_one({"competition" : competition, "variable": variable}, {"competition" : competition, "variable" : variable, "data" : data}, True)
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2021-08-17 21:02:08 +00:00
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def get_analysis_flags(client, flag):
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2020-05-13 01:54:19 +00:00
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db = client.data_processing
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mdata = db.flags
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return mdata.find_one({flag:{"$exists":True}})
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2021-08-17 21:02:08 +00:00
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def set_analysis_flags(client, flag, data):
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2020-05-13 01:54:19 +00:00
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db = client.data_processing
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mdata = db.flags
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2020-05-20 13:52:38 +00:00
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return mdata.replace_one({flag:{"$exists":True}}, data, True)
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def unkeyify_2l(layered_dict):
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out = {}
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for i in layered_dict.keys():
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add = []
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sortkey = []
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for j in layered_dict[i].keys():
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add.append([j,layered_dict[i][j]])
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add.sort(key = lambda x: x[0])
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out[i] = list(map(lambda x: x[1], add))
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2021-08-12 21:53:03 +00:00
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return out
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2021-09-21 05:14:54 +00:00
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def get_previous_time(client):
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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previous_time = get_analysis_flags(client, "latest_update")
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2021-08-12 21:53:03 +00:00
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if previous_time == None:
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2021-09-21 05:14:54 +00:00
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set_analysis_flags(client, "latest_update", 0)
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2021-08-12 21:53:03 +00:00
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previous_time = 0
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else:
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previous_time = previous_time["latest_update"]
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return previous_time
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2021-09-21 05:14:54 +00:00
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def set_current_time(client, current_time):
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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set_analysis_flags(client, "latest_update", {"latest_update":current_time})
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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def get_database_config(client):
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2021-08-12 21:53:03 +00:00
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2021-09-23 07:10:01 +00:00
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remote_config = get_analysis_flags(client, "config")
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return remote_config["config"] if remote_config != None else None
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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def set_database_config(client, config):
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set_analysis_flags(client, "config", {"config": config})
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def load_match(client, competition):
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return get_match_data_formatted(client, competition)
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def load_metric(client, competition, match, group_name, metrics):
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2021-08-12 21:53:03 +00:00
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group = {}
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for team in match[group_name]:
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2021-09-21 05:14:54 +00:00
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db_data = get_team_metrics_data(client, competition, team)
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2021-08-12 21:53:03 +00:00
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2021-08-17 21:02:08 +00:00
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if db_data == None:
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2021-08-12 21:53:03 +00:00
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elo = {"score": metrics["elo"]["score"]}
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gl2 = {"score": metrics["gl2"]["score"], "rd": metrics["gl2"]["rd"], "vol": metrics["gl2"]["vol"]}
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ts = {"mu": metrics["ts"]["mu"], "sigm+a": metrics["ts"]["sigma"]}
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group[team] = {"elo": elo, "gl2": gl2, "ts": ts}
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else:
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metrics = db_data["metrics"]
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elo = metrics["elo"]
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gl2 = metrics["gl2"]
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ts = metrics["ts"]
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group[team] = {"elo": elo, "gl2": gl2, "ts": ts}
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return group
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2021-09-21 05:14:54 +00:00
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def load_pit(client, competition):
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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return get_pit_data_formatted(client, competition)
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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def push_match(client, competition, results):
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2021-08-12 21:53:03 +00:00
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for team in results:
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2021-09-21 05:14:54 +00:00
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push_team_tests_data(client, competition, team, results[team])
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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def push_metric(client, competition, metric):
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2021-08-12 21:53:03 +00:00
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for team in metric:
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2021-09-21 05:14:54 +00:00
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push_team_metrics_data(client, competition, team, metric[team])
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2021-08-12 21:53:03 +00:00
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2021-09-21 05:14:54 +00:00
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def push_pit(client, competition, pit):
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2021-08-12 21:53:03 +00:00
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for variable in pit:
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2021-10-14 23:30:15 +00:00
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2021-10-11 02:59:49 +00:00
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push_team_pit_data(client, competition, variable, pit[variable])
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2021-10-10 06:15:22 +00:00
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def check_new_database_matches(client, competition):
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return True
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