From 493b9b19b204fefca872d4d56a353561b50caefa Mon Sep 17 00:00:00 2001 From: ltcptgeneral <35508619+ltcptgeneral@users.noreply.github.com> Date: Wed, 3 Apr 2019 13:34:31 -0500 Subject: [PATCH] beautified --- data analysis/superscript.py | 213 ++++++++++---------- data analysis/superscript_nishant_only.py | 224 ++++++++++++---------- 2 files changed, 234 insertions(+), 203 deletions(-) diff --git a/data analysis/superscript.py b/data analysis/superscript.py index baa2aff6..63eea9dd 100644 --- a/data analysis/superscript.py +++ b/data analysis/superscript.py @@ -1,7 +1,7 @@ -#Titan Robotics Team 2022: Super Script -#Written by Arthur Lu & Jacob Levine -#Notes: -#setup: +# Titan Robotics Team 2022: Super Script +# Written by Arthur Lu & Jacob Levine +# Notes: +# setup: __version__ = "1.0.6.001" @@ -43,7 +43,7 @@ __changelog__ = """changelog: __author__ = ( "Arthur Lu , " "Jacob Levine ," - ) +) import firebase_admin from firebase_admin import credentials @@ -60,6 +60,7 @@ import time import tbarequest as tba import csv + def titanservice(): print("[OK] loading data") @@ -67,15 +68,16 @@ def titanservice(): start = time.time() source_dir = 'data' - file_list = glob.glob(source_dir + '/*.csv') #supposedly sorts by alphabetical order, skips reading teams.csv because of redundancy + # supposedly sorts by alphabetical order, skips reading teams.csv because of redundancy + file_list = glob.glob(source_dir + '/*.csv') data = [] files = [fn for fn in glob.glob('data/*.csv') - if not (os.path.basename(fn).startswith('scores') or 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 + if not (os.path.basename(fn).startswith('scores') or 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)) + data.append(analysis.load_csv(i)) - #print(files) + # print(files) stats = [] measure_stats = [] @@ -86,111 +88,113 @@ def titanservice(): print("[OK] loaded data in " + str(end - start) + " seconds") - #assumes that team number is in the first column, and that the order of teams is the same across all files - #unhelpful comment - for measure in data: #unpacks 3d array into 2ds + # assumes that team number is in the first column, and that the order of teams is the same across all files + # unhelpful comment + for measure in data: # unpacks 3d array into 2ds measure_stats = [] - for i in range(len(measure)): #unpacks into specific teams + for i in range(len(measure)): # unpacks into specific teams - #ofbest_curve = [None] - #r2best_curve = [None] + #ofbest_curve = [None] + #r2best_curve = [None] - line = measure[i] + line = measure[i] - #print(line) + # 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) + #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) + # 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) + # print(r2best_curve) - - measure_stats.append(teams[i] + list(analysis.basic_stats(line, 0, 0)) + list(analysis.histo_analysis(line, 1, -3, 3))) + 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 = [] for i in range(len(scores)): - #print(scores) + # print(scores) - ofbest_curve = [None] - r2best_curve = [None] + ofbest_curve = [None] + r2best_curve = [None] - line = scores[i] + line = scores[i] - if len(line) < 4: + if len(line) < 4: - nishant.append('no_data') + nishant.append('no_data') - continue + continue - #print(line) + # print(line) - #print(line) + # 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) + #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) + # 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) + # print(r2best_curve) - z = len(scores[0]) + 1 - nis_num = [] + z = len(scores[0]) + 1 + nis_num = [] - nis_num.append(eval(str(ofbest_curve[0]))) - nis_num.append(eval(str(r2best_curve[0]))) + nis_num.append(eval(str(ofbest_curve[0]))) + nis_num.append(eval(str(r2best_curve[0]))) - nis_num.append((eval(ofbest_curve[0]) + eval(r2best_curve[0])) / 2) + nis_num.append((eval(ofbest_curve[0]) + eval(r2best_curve[0])) / 2) - nishant.append(teams[i] + nis_num) + nishant.append(teams[i] + nis_num) json_out = {} score_out = {} for i in range(len(teams)): - score_out[str(teams[i][0])] = (nishant[i]) + score_out[str(teams[i][0])] = (nishant[i]) location = db.collection(u'stats').document(u'stats-noNN') for i in range(len(teams)): @@ -199,49 +203,59 @@ def titanservice(): for j in range(len(files)): json_out[str(teams[i][0])] = (stats[j][i]) name = os.path.basename(files[j]) - general_general_stats.document(name).set({'stats':json_out.get(teams[i][0])}) + general_general_stats.document(name).set( + {'stats': json_out.get(teams[i][0])}) for i in range(len(teams)): - nnum = location.collection(teams[i][0]).document(u'nishant_number').set({'nishant':score_out.get(teams[i][0])}) + nnum = location.collection(teams[i][0]).document( + u'nishant_number').set({'nishant': score_out.get(teams[i][0])}) + def pulldata(): teams = analysis.load_csv('data/teams.csv') scores = [] for i in range(len(teams)): team_scores = [] - #print(teams[i][0]) - request_data_object = tba.req_team_matches(teams[i][0], 2019, "UDvKmPjPRfwwUdDX1JxbmkyecYBJhCtXeyVk9vmO2i7K0Zn4wqQPMfzuEINXJ7e5") + # 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) + 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'): - team_scores.append(json_data[j].get('alliances').get('blue').get('score')) + team_scores.append(json_data[j].get( + 'alliances').get('blue').get('score')) elif "frc" + teams[i][0] in json_data[j].get('alliances').get('red').get('team_keys'): - team_scores.append(json_data[j].get('alliances').get('red').get('score')) + team_scores.append(json_data[j].get( + 'alliances').get('red').get('score')) scores.append(team_scores) - with open("data/scores.csv", "w+", newline = '') as file: - writer = csv.writer(file, delimiter = ',') + with open("data/scores.csv", "w+", newline='') as file: + writer = csv.writer(file, delimiter=',') writer.writerows(scores) list_teams = teams - teams=db.collection('data').document('team-2022').collection("Central 2019").get() - full=[] - tms=[] + 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() + 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()) + 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 = [] @@ -267,11 +281,11 @@ def pulldata(): #print(full[i][j].get(key).get('teamDBRef')[5:] in list_teams) - #print(full[i][j].get(key).get('teamDBRef')) + # print(full[i][j].get(key).get('teamDBRef')) - #print(list(full[i][j].keys())) + # print(list(full[i][j].keys())) - #print(list_teams) + # print(list_teams) if full[i][j].get(key).get('teamDBRef')[5:] in list_teams: @@ -282,7 +296,8 @@ def pulldata(): individual_keys = list(full[i][j].get(key).keys()) - var[individual_keys[k]] = full[i][j].get(key).get(individual_keys[k]) + var[individual_keys[k]] = full[i][j].get( + key).get(individual_keys[k]) out.append(var) @@ -316,7 +331,8 @@ def pulldata(): for i in sorted_out: - team_index = list_teams.index(sorted_out[sorted_out.index(i)][j_list.index('teamDBRef')][5:]) + team_index = list_teams.index( + sorted_out[sorted_out.index(i)][j_list.index('teamDBRef')][5:]) for j in range(len(i)): @@ -324,11 +340,12 @@ def pulldata(): for i in range(len(big_out)): - with open('data/' + j_list[i] + '.csv', "w+", newline = '') as file: + with open('data/' + j_list[i] + '.csv', "w+", newline='') as file: - writer = csv.writer(file, delimiter = ',') + writer = csv.writer(file, delimiter=',') writer.writerows(big_out[i]) + def service(): while True: @@ -347,7 +364,8 @@ def service(): break except: if (i != 4): - print("[WARNING] failed, trying " + str(5 - i - 1) + " more times") + print("[WARNING] failed, trying " + + str(5 - i - 1) + " more times") else: print("[ERROR] failed to compute data, skipping") fucked = True @@ -363,10 +381,11 @@ def service(): print("[OK] waiting: " + str(300 - (end - start)) + " seconds" + "\n") - time.sleep(300 - (end - start)) #executes once every 5 minutes + time.sleep(300 - (end - start)) # executes once every 5 minutes + warnings.simplefilter("ignore") -#Use a service account +# Use a service account try: cred = credentials.Certificate('keys/firebasekey.json') except: @@ -375,5 +394,5 @@ firebase_admin.initialize_app(cred) db = firestore.client() -service() #finally we write something that isn't a function definition -#titanservice() +service() # finally we write something that isn't a function definition +# titanservice() diff --git a/data analysis/superscript_nishant_only.py b/data analysis/superscript_nishant_only.py index aba40d79..3b9d38ca 100644 --- a/data analysis/superscript_nishant_only.py +++ b/data analysis/superscript_nishant_only.py @@ -1,7 +1,7 @@ -#Titan Robotics Team 2022: Super Script -#Written by Arthur Lu & Jacob Levine -#Notes: -#setup: +# Titan Robotics Team 2022: Super Script +# Written by Arthur Lu & Jacob Levine +# Notes: +# setup: __version__ = "1.0.6.001" @@ -38,12 +38,12 @@ __changelog__ = """changelog: - added superstructure to code 1.0.0.000: - added import statements (revolutionary) -""" +""" __author__ = ( "Arthur Lu , " "Jacob Levine ," - ) +) import firebase_admin from firebase_admin import credentials @@ -60,22 +60,24 @@ import time import tbarequest as tba import csv + def titanservice(): - + print("[OK] loading data") start = time.time() - + source_dir = 'data' - file_list = glob.glob(source_dir + '/*.csv') #supposedly sorts by alphabetical order, skips reading teams.csv because of redundancy + # supposedly sorts by alphabetical order, skips reading teams.csv because of redundancy + file_list = glob.glob(source_dir + '/*.csv') data = [] - files = [fn for fn in glob.glob('data/*.csv') - if not (os.path.basename(fn).startswith('scores') or 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 + files = [fn for fn in glob.glob('data/*.csv') + if not (os.path.basename(fn).startswith('scores') or 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)) + data.append(analysis.load_csv(i)) - #print(files) + # print(files) stats = [] measure_stats = [] @@ -86,150 +88,158 @@ def titanservice(): print("[OK] loaded data in " + str(end - start) + " seconds") - #assumes that team number is in the first column, and that the order of teams is the same across all files - #unhelpful comment - #for measure in data: #unpacks 3d array into 2ds + # assumes that team number is in the first column, and that the order of teams is the same across all files + # unhelpful comment + # for measure in data: #unpacks 3d array into 2ds - #measure_stats = [] + #measure_stats = [] - #for i in range(len(measure)): #unpacks into specific teams + # for i in range(len(measure)): #unpacks into specific teams - #ofbest_curve = [None] - #r2best_curve = [None] + #ofbest_curve = [None] + #r2best_curve = [None] - #line = measure[i] + #line = measure[i] - #print(line) + # 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) + #print(eqs, rmss, r2s, overfit) - #print(ofbest_curve) + # ofbest_curve.append(beqs) + # ofbest_curve.append(brmss) + # ofbest_curve.append(br2s) + # ofbest_curve.append(boverfit) + # ofbest_curve.pop(0) - #beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "max_r2s") + # print(ofbest_curve) - #r2best_curve.append(beqs) - #r2best_curve.append(brmss) - #r2best_curve.append(br2s) - #r2best_curve.append(boverfit) - #r2best_curve.pop(0) + #beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "max_r2s") - #print(r2best_curve) + # r2best_curve.append(beqs) + # r2best_curve.append(brmss) + # r2best_curve.append(br2s) + # r2best_curve.append(boverfit) + # r2best_curve.pop(0) - - #measure_stats.append(teams[i] + list(analysis.basic_stats(line, 0, 0)) + list(analysis.histo_analysis(line, 1, -3, 3))) + # print(r2best_curve) - #stats.append(list(measure_stats)) + #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 = [] - + for i in range(len(scores)): - #print(scores) + # print(scores) - ofbest_curve = [None] - r2best_curve = [None] + ofbest_curve = [None] + r2best_curve = [None] - line = scores[i] + line = scores[i] - if len(line) < 4: + if len(line) < 4: - nishant.append('no_data') - - continue + nishant.append('no_data') - #print(line) + continue - #print(line) + # print(line) - x = list(range(len(line))) - eqs, rmss, r2s, overfit = analysis.optimize_regression(x, line, 10, 1) + # print(line) - beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "min_overfit") + x = list(range(len(line))) + eqs, rmss, r2s, overfit = analysis.optimize_regression(x, line, 10, 1) - #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) + beqs, brmss, br2s, boverfit = analysis.select_best_regression( + eqs, rmss, r2s, overfit, "min_overfit") - #print(ofbest_curve) + #print(eqs, rmss, r2s, overfit) - beqs, brmss, br2s, boverfit = analysis.select_best_regression(eqs, rmss, r2s, overfit, "max_r2s") + ofbest_curve.append(beqs) + ofbest_curve.append(brmss) + ofbest_curve.append(br2s) + ofbest_curve.append(boverfit) + ofbest_curve.pop(0) - r2best_curve.append(beqs) - r2best_curve.append(brmss) - r2best_curve.append(br2s) - r2best_curve.append(boverfit) - r2best_curve.pop(0) + # print(ofbest_curve) - #print(r2best_curve) - - z = len(scores[0]) + 1 - nis_num = [] + beqs, brmss, br2s, boverfit = analysis.select_best_regression( + eqs, rmss, r2s, overfit, "max_r2s") - nis_num.append(eval(str(ofbest_curve[0]))) - nis_num.append(eval(str(r2best_curve[0]))) + r2best_curve.append(beqs) + r2best_curve.append(brmss) + r2best_curve.append(br2s) + r2best_curve.append(boverfit) + r2best_curve.pop(0) - nis_num.append((eval(ofbest_curve[0]) + eval(r2best_curve[0])) / 2) + # print(r2best_curve) + + z = len(scores[0]) + 1 + nis_num = [] + + nis_num.append(eval(str(ofbest_curve[0]))) + nis_num.append(eval(str(r2best_curve[0]))) + + nis_num.append((eval(ofbest_curve[0]) + eval(r2best_curve[0])) / 2) + + nishant.append(teams[i] + nis_num) - nishant.append(teams[i] + nis_num) - json_out = {} score_out = {} for i in range(len(teams)): - score_out[str(teams[i][0])] = (nishant[i]) + score_out[str(teams[i][0])] = (nishant[i]) location = db.collection(u'stats').document(u'stats-noNN') - #for i in range(len(teams)): - #general_general_stats = location.collection(teams[i][0]) - - #for j in range(len(files)): - # json_out[str(teams[i][0])] = (stats[j][i]) - # name = os.path.basename(files[j]) - # general_general_stats.document(name).set({'stats':json_out.get(teams[i][0])}) + # for i in range(len(teams)): + #general_general_stats = location.collection(teams[i][0]) + + # for j in range(len(files)): + # json_out[str(teams[i][0])] = (stats[j][i]) + # name = os.path.basename(files[j]) + # general_general_stats.document(name).set({'stats':json_out.get(teams[i][0])}) for i in range(len(teams)): - nnum = location.collection(teams[i][0]).document(u'nishant_number').set({'nishant':score_out.get(teams[i][0])}) + nnum = location.collection(teams[i][0]).document( + u'nishant_number').set({'nishant': score_out.get(teams[i][0])}) + def pulldata(): teams = analysis.load_csv('data/teams.csv') scores = [] for i in range(len(teams)): team_scores = [] - #print(teams[i][0]) - request_data_object = tba.req_team_matches(teams[i][0], 2019, "UDvKmPjPRfwwUdDX1JxbmkyecYBJhCtXeyVk9vmO2i7K0Zn4wqQPMfzuEINXJ7e5") + # 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) + + 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'): - team_scores.append(json_data[j].get('alliances').get('blue').get('score')) + team_scores.append(json_data[j].get( + 'alliances').get('blue').get('score')) elif "frc" + teams[i][0] in json_data[j].get('alliances').get('red').get('team_keys'): - team_scores.append(json_data[j].get('alliances').get('red').get('score')) + team_scores.append(json_data[j].get( + 'alliances').get('red').get('score')) scores.append(team_scores) - with open("data/scores.csv", "w+", newline = '') as file: - writer = csv.writer(file, delimiter = ',') + with open("data/scores.csv", "w+", newline='') as file: + writer = csv.writer(file, delimiter=',') writer.writerows(scores) - + + def service(): while True: @@ -241,14 +251,15 @@ def service(): print("[OK] starting calculations") fucked = False - + for i in range(0, 5): try: titanservice() break except: if (i != 4): - print("[WARNING] failed, trying " + str(5 - i - 1) + " more times") + print("[WARNING] failed, trying " + + str(5 - i - 1) + " more times") else: print("[ERROR] failed to compute data, skipping") fucked = True @@ -259,15 +270,16 @@ def service(): break else: - + print("[OK] finished calculations") print("[OK] waiting: " + str(300 - (end - start)) + " seconds" + "\n") - time.sleep(300 - (end - start)) #executes once every 5 minutes + time.sleep(300 - (end - start)) # executes once every 5 minutes + warnings.simplefilter("ignore") -#Use a service account +# Use a service account try: cred = credentials.Certificate('keys/firebasekey.json') except: @@ -276,5 +288,5 @@ firebase_admin.initialize_app(cred) db = firestore.client() -service() #finally we write something that isn't a function definition -#titanservice() +service() # finally we write something that isn't a function definition +# titanservice()