mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-11-10 06:54:44 +00:00
Merge branch 'master' of https://github.com/titanscout2022/tr2022-strategy
This commit is contained in:
commit
7d9a84f88b
60
data analysis/scoutflex2019.py
Normal file
60
data analysis/scoutflex2019.py
Normal file
@ -0,0 +1,60 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
Created on Wed Mar 20 12:21:31 2019
|
||||
|
||||
@author: creek
|
||||
"""
|
||||
|
||||
from google.cloud import firestore
|
||||
from google.oauth2 import service_account
|
||||
import pprint
|
||||
from pylatex import Document, Section, Subsection, Command
|
||||
from pylatex.utils import italic, NoEscape
|
||||
import requests
|
||||
|
||||
def generate_team_report(team):
|
||||
doc = Document('basic')
|
||||
matches = team.reference.collection(u'matches').get()
|
||||
matchnums = []
|
||||
for match in matches:
|
||||
matchnums.append(match.id)
|
||||
with doc.create(Section('Qualification matches scouted')):
|
||||
for matchnum in matchnums:
|
||||
doc.append(str(matchnum))
|
||||
with doc.create(Section('Details')):
|
||||
hab = "Hab 1"
|
||||
balls = 42
|
||||
hatches = 0
|
||||
count = 0
|
||||
for match in matches:
|
||||
for analysis in match:
|
||||
if analysis.key().startswith('Quant'):
|
||||
balls = balls + analysis['cargoBalls']
|
||||
hatches = hatches + analysis['hatchPanels']
|
||||
count = count + 1
|
||||
if analysis.key().startswith('Qual'):
|
||||
strategy = analysis['StrategyType']
|
||||
strongObject = analysis['TeleopStrongObject']
|
||||
if count > 0:
|
||||
doc.append("Average balls: " + str(float(balls)/count))
|
||||
doc.append("Average hatches: " + str(float(hatches)/count))
|
||||
doc.append("Strategy Type: " + str(strategy))
|
||||
doc.append("Strongest object in teleop: " + str(strongObject))
|
||||
|
||||
|
||||
doc.preamble.append(Command('title', team.id))
|
||||
doc.preamble.append(Command('author', 'Generated by Team 2022'))
|
||||
doc.preamble.append(Command('date', NoEscape(r'\today')))
|
||||
doc.append(NoEscape(r'\maketitle'))
|
||||
|
||||
doc.generate_pdf(filepath="C://Users//creek//Documents//" + str(team.id), clean_tex=False)
|
||||
|
||||
credentials = service_account.Credentials.from_service_account_file('keys/firebasekey.json')
|
||||
|
||||
db = firestore.Client(project="titanscoutandroid", credentials=credentials)
|
||||
teams_ref = db.collection(u'data').document(u'team-2022').collection(u'Central 2019')
|
||||
teams = teams_ref.get()
|
||||
|
||||
for team in teams:
|
||||
generate_team_report(team)
|
||||
|
@ -1,97 +0,0 @@
|
||||
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])
|
||||
|
Loading…
Reference in New Issue
Block a user