working

data analysis/data/SandstormCargoShipBalls.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,1.0
-0.0

data analysis/data/SandstormCargoShipHatches.csv

@@ -1,3 +0,0 @@
-1.0
-0.0,0.0
-0.0

data analysis/data/SandstormLowerRocketBalls.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,0.0
-0.0

data analysis/data/SandstormLowerRocketHatches.csv

@@ -1,3 +0,0 @@
-1.0
-0.0,0.0
-0.0

data analysis/data/SandstormUpperRocketBalls.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,0.0
-0.0

data analysis/data/SandstormUpperRocketHatches.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,0.0
-0.0

data analysis/data/TeleopCargoShipBalls.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,5.0
-0.0

data analysis/data/TeleopCargoShipHatches.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,1.0
-1.0

data analysis/data/TeleopLowerRocketBalls.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,4.0
-0.0

data analysis/data/TeleopLowerRocketHatches.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,0.0
-0.0

data analysis/data/TeleopUpperRocketBalls.csv

@@ -1,3 +0,0 @@
-0.0
-0.0,0.0
-0.0

data analysis/data/TeleopUpperRocketHatches.csv

@@ -1,3 +0,0 @@
-13.0
-0.0,0.0
-0.0

data analysis/data/cargoBalls.csv

@@ -1,3 +0,0 @@
-10.0
-0.0,7.0
-7.0

data analysis/data/hatchPanels.csv

@@ -1,3 +0,0 @@
-1.0
-0.0,7.0
-0.0

data analysis/data/match.csv

@@ -1,3 +0,0 @@
-match-23
-match-18,match-3
-match-18

data analysis/data/notes.csv

@@ -1,3 +0,0 @@
-yeeee 
-,si papa
-nine 

data analysis/data/observationType.csv

@@ -1,3 +0,0 @@
-Quantitative
-Quantitative,Quantitative
-Quantitative

data analysis/data/teamDBRef.csv

@@ -1,3 +0,0 @@
-team-2022
-team-16,team-16
-team-2451

data analysis/superscript.py

@@ -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') 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('teams'))] #scores will be handled sperately
 
     for i in files:
             data.append(analysis.load_csv(i))
@@ -89,40 +89,40 @@ def titanservice():
 
         for i in range(len(measure)): #unpacks into specific teams
 
-                    #ofbest_curve = [None]
+                    ofbest_curve = [None]
-                    #r2best_curve = [None]
+                    r2best_curve = [None]
 
                     line = measure[i]
 
                     #print(line)
 
-                    #x = list(range(len(line)))
+                    x = list(range(len(line)))
-                    #eqs, rmss, r2s, overfit = analysis.optimize_regression(x, line, 10, 1)
+                    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(beqs)
-                    #ofbest_curve.append(brmss)
+                    ofbest_curve.append(brmss)
-                    #ofbest_curve.append(br2s)
+                    ofbest_curve.append(br2s)
-                    #ofbest_curve.append(boverfit)
+                    ofbest_curve.append(boverfit)
-                    #ofbest_curve.pop(0)
+                    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(beqs)
-                    #r2best_curve.append(brmss)
+                    r2best_curve.append(brmss)
-                    #r2best_curve.append(br2s)
+                    r2best_curve.append(br2s)
-                    #r2best_curve.append(boverfit)
+                    r2best_curve.append(boverfit)
-                    #r2best_curve.pop(0)
+                    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)))
+                    measure_stats.append(teams[i] + list(analysis.basic_stats(line, 0, 0)) + list(analysis.histo_analysis(line, 1, -3, 3)) + ofbest_curve + r2best_curve)
 
         stats.append(list(measure_stats))
         nishant = []
@@ -174,18 +174,9 @@ def titanservice():
     json_out = {}
     score_out = {}
 
-    #print(stats)
-
-    #print(stats[0])
-                    
-    #for i in range(len(teams)):
-    #        json_out[str(teams[i][0])] = (stats[0][i])
-
     for i in range(len(teams)):
             score_out[str(teams[i][0])] = (nishant[i])
 
-    #print(json_out.get('5'))
-
     location = db.collection(u'stats').document(u'stats-noNN')
     for i in range(len(teams)):
         general_general_stats = location.collection(teams[i][0])
@@ -198,26 +189,18 @@ def titanservice():
     for i in range(len(teams)):
         nnum = location.collection(teams[i][0]).document(u'nishant_number').set({'nishant':score_out.get(teams[i][0])})
 
-    #general_general_stats.collection().document('stats').set()
-    #db.collection(u'stats').document(u'stats-noNN').set(score_out)
-
 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")
         json_data = request_data_object.json()
-        #print(json_data)
+        #for i in json_data:
-        
+
-        for i in range(len(json_data) - 1, -1, -1):
+           # if i
             
-            if json_data[i].get('winning_alliance') == None or json_data[i].get('winning_alliance') == [] or json_data[i].get('winning_alliance') == "":
-                print(json_data[i])
-                json_data.remove(json_data[i])
-                
-        #print(json_data)
         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'):
@@ -226,8 +209,6 @@ def pulldata():
                 team_scores.append(json_data[j].get('alliances').get('red').get('score'))
         scores.append(team_scores)
 
-        print(scores)
-
     with open("data/scores.csv", "w+", newline = '') as file:
         writer = csv.writer(file, delimiter = ',')
         writer.writerows(scores)
@@ -240,17 +221,15 @@ def service():
 
         start = time.time()
 
-        #print("[OK]" + "time is: " + time.time())
-
         print("[OK] starting calculations")
 
         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: