mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-09-20 00:47:56 +00:00
102 lines
4.0 KiB
Python
102 lines
4.0 KiB
Python
import requests
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import pymongo
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import pandas as pd
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import time
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def pull_new_tba_matches(apikey, competition, cutoff):
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api_key= apikey
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x=requests.get("https://www.thebluealliance.com/api/v3/event/"+competition+"/matches/simple", headers={"X-TBA-Auth_Key":api_key})
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out = []
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for i in x.json():
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if (i["actual_time"] != None and i["actual_time"]-cutoff >= 0 and i["comp_level"] == "qm"):
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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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def get_team_match_data(apikey, competition, team_num):
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client = pymongo.MongoClient(apikey)
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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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def get_team_pit_data(apikey, competition, team_num):
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client = pymongo.MongoClient(apikey)
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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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def get_team_metrics_data(apikey, competition, team_num):
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client = pymongo.MongoClient(apikey)
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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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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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return out
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def get_match_data_formatted(apikey, competition):
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client = pymongo.MongoClient(apikey)
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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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out[int(i)] = unkeyify_2l(get_team_match_data(apikey, competition, int(i)).transpose().to_dict())
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except:
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pass
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return out
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def get_pit_data_formatted(apikey, competition):
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client = pymongo.MongoClient(apikey)
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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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out[int(i)] = get_team_pit_data(apikey, competition, int(i))
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except:
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pass
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return out
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def push_team_tests_data(apikey, competition, team_num, data, dbname = "data_processing", colname = "team_tests"):
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client = pymongo.MongoClient(apikey)
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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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def push_team_metrics_data(apikey, competition, team_num, data, dbname = "data_processing", colname = "team_metrics"):
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client = pymongo.MongoClient(apikey)
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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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def push_team_pit_data(apikey, competition, variable, data, dbname = "data_processing", colname = "team_pit"):
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client = pymongo.MongoClient(apikey)
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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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def get_analysis_flags(apikey, flag):
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client = pymongo.MongoClient(apikey)
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db = client.data_processing
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mdata = db.flags
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return mdata.find_one({flag:{"$exists":True}})
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def set_analysis_flags(apikey, flag, data):
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client = pymongo.MongoClient(apikey)
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db = client.data_processing
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mdata = db.flags
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return mdata.replace_one({flag:{"$exists":True}}, data, True) |