tra-analysis/data analysis/test.py

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])