mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-11-10 06:54:44 +00:00
Update superscript.py
This commit is contained in:
jlevine18
GitHub
parent
75cec13414
commit
bd79ddff6b
@ -67,7 +67,7 @@ def titanservice():
|
||||
file_list = glob.glob(source_dir + '/*.csv') #supposedly sorts by alphabetical order, skips reading teams.csv because of redundancy
|
||||
data = []
|
||||
files = [fn for fn in glob.glob('data/*.csv')
|
||||
if not (os.path.basename(fn).startswith('teams'))] #scores will be handled sperately
|
||||
if not (os.path.basename(fn).startswith('teams') or os.path.basename(fn).startswith('match') or os.path.basename(fn).startswith('notes') or os.path.basename(fn).startswith('observationType') or os.path.basename(fn).startswith('teamDBRef'))] #scores will be handled sperately
|
||||
|
||||
for i in files:
|
||||
data.append(analysis.load_csv(i))
|
||||
@ -89,40 +89,44 @@ def titanservice():
|
||||
|
||||
for i in range(len(measure)): #unpacks into specific teams
|
||||
|
||||
ofbest_curve = [None]
|
||||
r2best_curve = [None]
|
||||
print(i)
|
||||
print(measure)
|
||||
print(len(measure))
|
||||
|
||||
#ofbest_curve = [None]
|
||||
#r2best_curve = [None]
|
||||
|
||||
line = measure[i]
|
||||
|
||||
#print(line)
|
||||
|
||||
x = list(range(len(line)))
|
||||
eqs, rmss, r2s, overfit = analysis.optimize_regression(x, line, 10, 1)
|
||||
#x = list(range(len(line)))
|
||||
#eqs, rmss, r2s, overfit = analysis.optimize_regression(x, line, 10, 1)
|
||||
|
||||
beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "min_overfit")
|
||||
#beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "min_overfit")
|
||||
|
||||
#print(eqs, rmss, r2s, overfit)
|
||||
|
||||
ofbest_curve.append(beqs)
|
||||
ofbest_curve.append(brmss)
|
||||
ofbest_curve.append(br2s)
|
||||
ofbest_curve.append(boverfit)
|
||||
ofbest_curve.pop(0)
|
||||
#ofbest_curve.append(beqs)
|
||||
#ofbest_curve.append(brmss)
|
||||
#ofbest_curve.append(br2s)
|
||||
#ofbest_curve.append(boverfit)
|
||||
#ofbest_curve.pop(0)
|
||||
|
||||
#print(ofbest_curve)
|
||||
|
||||
beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "max_r2s")
|
||||
#beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "max_r2s")
|
||||
|
||||
r2best_curve.append(beqs)
|
||||
r2best_curve.append(brmss)
|
||||
r2best_curve.append(br2s)
|
||||
r2best_curve.append(boverfit)
|
||||
r2best_curve.pop(0)
|
||||
#r2best_curve.append(beqs)
|
||||
#r2best_curve.append(brmss)
|
||||
#r2best_curve.append(br2s)
|
||||
#r2best_curve.append(boverfit)
|
||||
#r2best_curve.pop(0)
|
||||
|
||||
#print(r2best_curve)
|
||||
|
||||
|
||||
measure_stats.append(teams[i] + list(analysis.basic_stats(line, 0, 0)) + list(analysis.histo_analysis(line, 1, -3, 3)) + ofbest_curve + r2best_curve)
|
||||
measure_stats.append(teams[i] + list(analysis.basic_stats(line, 0, 0)) + list(analysis.histo_analysis(line, 1, -3, 3)))
|
||||
|
||||
stats.append(list(measure_stats))
|
||||
nishant = []
|
||||
@ -197,12 +201,12 @@ def pulldata():
|
||||
#print(teams[i][0])
|
||||
request_data_object = tba.req_team_matches(teams[i][0], 2019, "UDvKmPjPRfwwUdDX1JxbmkyecYBJhCtXeyVk9vmO2i7K0Zn4wqQPMfzuEINXJ7e5")
|
||||
json_data = request_data_object.json()
|
||||
|
||||
for match in range(len(json_data) - 1, -1, -1):
|
||||
if json_data[match].get('winning_alliance') == "":
|
||||
print(json_data[match])
|
||||
#print(json_data[match])
|
||||
json_data.remove(json_data[match])
|
||||
|
||||
|
||||
json_data = sorted(json_data, key=lambda k: k.get('actual_time', 0), reverse=False)
|
||||
for j in range(len(json_data)):
|
||||
if "frc" + teams[i][0] in json_data[j].get('alliances').get('blue').get('team_keys'):
|
||||
@ -215,6 +219,89 @@ def pulldata():
|
||||
writer = csv.writer(file, delimiter = ',')
|
||||
writer.writerows(scores)
|
||||
|
||||
list_teams = teams
|
||||
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 = []
|
||||
|
||||
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])
|
||||
|
||||
def service():
|
||||
|
||||
while True:
|
||||
@ -228,10 +315,10 @@ def service():
|
||||
fucked = False
|
||||
|
||||
for i in range(0, 5):
|
||||
try:
|
||||
#try:
|
||||
titanservice()
|
||||
break
|
||||
except:
|
||||
#except:
|
||||
if (i != 4):
|
||||
print("[WARNING] failed, trying " + str(5 - i - 1) + " more times")
|
||||
else:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user