mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-11-10 15:04:45 +00:00
98 lines
2.3 KiB
Python
98 lines
2.3 KiB
Python
import firebase_admin
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from firebase_admin import credentials
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from firebase_admin import firestore
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import csv
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import numpy as np
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# Use a service account
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cred = credentials.Certificate('keys/keytemp.json')
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#add your own key as this is public. email me for details
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firebase_admin.initialize_app(cred)
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db = firestore.client()
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teams=db.collection('data').document('team-2022').collection("Central 2019").get()
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full=[]
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tms=[]
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for team in teams:
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tms.append(team.id)
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reports=db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").get()
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for report in reports:
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data=[]
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data.append(db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").document(report.id).get().to_dict())
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full.append(data)
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quant_keys = []
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list_teams = ["2022", "16", "2451"]
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out = []
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var = {}
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for i in range(len(full)):
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for j in range(len(full[i])):
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for key in list(full[i][j].keys()):
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if "Quantitative" in key:
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quant_keys.append(key)
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if full[i][j].get(key).get('teamDBRef')[5:] in list_teams:
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var = {}
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measured_vars = []
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for k in range(len(list(full[i][j].get(key).keys()))):
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individual_keys = list(full[i][j].get(key).keys())
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var[individual_keys[k]] = full[i][j].get(key).get(individual_keys[k])
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out.append(var)
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sorted_out = []
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for i in out:
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j_list = []
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key_list = []
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sorted_keys = sorted(i.keys())
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for j in sorted_keys:
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key_list.append(i[j])
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j_list.append(j)
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sorted_out.append(key_list)
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var_index = 0
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team_index = 0
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big_out = []
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for j in range(len(i)):
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big_out.append([])
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for t in range(len(list_teams)):
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big_out[j].append([])
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for i in sorted_out:
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team_index = list_teams.index(sorted_out[sorted_out.index(i)][j_list.index('teamDBRef')][5:])
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for j in range(len(i)):
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big_out[j][team_index].append(i[j])
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for i in range(len(big_out)):
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with open('data/' + j_list[i] + '.csv', "w+", newline = '') as file:
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writer = csv.writer(file, delimiter = ',')
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writer.writerows(big_out[i])
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