mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-11-13 22:56:18 +00:00
98 lines
2.3 KiB
Python
98 lines
2.3 KiB
Python
import firebase_admin
|
|
from firebase_admin import credentials
|
|
from firebase_admin import firestore
|
|
import csv
|
|
import numpy as np
|
|
|
|
# Use a service account
|
|
cred = credentials.Certificate('keys/keytemp.json')
|
|
#add your own key as this is public. email me for details
|
|
firebase_admin.initialize_app(cred)
|
|
|
|
db = firestore.client()
|
|
|
|
teams=db.collection('data').document('team-2022').collection("Central 2019").get()
|
|
full=[]
|
|
tms=[]
|
|
for team in teams:
|
|
|
|
tms.append(team.id)
|
|
reports=db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").get()
|
|
|
|
for report in reports:
|
|
data=[]
|
|
data.append(db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").document(report.id).get().to_dict())
|
|
full.append(data)
|
|
|
|
quant_keys = []
|
|
|
|
list_teams = ["2022", "16", "2451"]
|
|
|
|
out = []
|
|
var = {}
|
|
|
|
for i in range(len(full)):
|
|
for j in range(len(full[i])):
|
|
for key in list(full[i][j].keys()):
|
|
|
|
if "Quantitative" in key:
|
|
|
|
quant_keys.append(key)
|
|
|
|
if full[i][j].get(key).get('teamDBRef')[5:] in list_teams:
|
|
|
|
var = {}
|
|
measured_vars = []
|
|
|
|
for k in range(len(list(full[i][j].get(key).keys()))):
|
|
|
|
individual_keys = list(full[i][j].get(key).keys())
|
|
|
|
var[individual_keys[k]] = full[i][j].get(key).get(individual_keys[k])
|
|
|
|
out.append(var)
|
|
|
|
sorted_out = []
|
|
|
|
for i in out:
|
|
|
|
j_list = []
|
|
|
|
key_list = []
|
|
|
|
sorted_keys = sorted(i.keys())
|
|
|
|
for j in sorted_keys:
|
|
|
|
key_list.append(i[j])
|
|
|
|
j_list.append(j)
|
|
|
|
sorted_out.append(key_list)
|
|
|
|
var_index = 0
|
|
team_index = 0
|
|
|
|
big_out = []
|
|
|
|
for j in range(len(i)):
|
|
big_out.append([])
|
|
for t in range(len(list_teams)):
|
|
big_out[j].append([])
|
|
|
|
for i in sorted_out:
|
|
|
|
team_index = list_teams.index(sorted_out[sorted_out.index(i)][j_list.index('teamDBRef')][5:])
|
|
|
|
for j in range(len(i)):
|
|
|
|
big_out[j][team_index].append(i[j])
|
|
|
|
for i in range(len(big_out)):
|
|
|
|
with open('data/' + j_list[i] + '.csv', "w+", newline = '') as file:
|
|
|
|
writer = csv.writer(file, delimiter = ',')
|
|
writer.writerows(big_out[i])
|
|
|