Revert "yeeted"

This reverts commit 1f2edeba51.

data analysis/Untitled.ipynb

@@ -0,0 +1,88 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tbarequest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2022', 'frc2358', 'frc7417']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2040', 'frc2481', 'frc81']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm70', 'match_number': 70, 'post_result_time': None, 'predicted_time': 1553357160, 'score_breakdown': None, 'set_number': 1, 'time': 1553357160, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc6237', 'frc4156', 'frc4646']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc4241', 'frc1781', 'frc2022']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm61', 'match_number': 61, 'post_result_time': None, 'predicted_time': 1553352300, 'score_breakdown': None, 'set_number': 1, 'time': 1553352300, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc1736', 'frc2022', 'frc5126']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc5690', 'frc1329', 'frc4241']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm57', 'match_number': 57, 'post_result_time': None, 'predicted_time': 1553350140, 'score_breakdown': None, 'set_number': 1, 'time': 1553350140, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc6237', 'frc2358', 'frc2039']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2022', 'frc7848', 'frc4212']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm53', 'match_number': 53, 'post_result_time': None, 'predicted_time': 1553292960, 'score_breakdown': None, 'set_number': 1, 'time': 1553292960, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc7465', 'frc4213', 'frc2704']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc1329', 'frc6055', 'frc2022']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm41', 'match_number': 41, 'post_result_time': None, 'predicted_time': 1553287200, 'score_breakdown': None, 'set_number': 1, 'time': 1553287200, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2022', 'frc4156', 'frc5442']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc5822', 'frc4143', 'frc7848']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm4', 'match_number': 4, 'post_result_time': None, 'predicted_time': 1553264820, 'score_breakdown': None, 'set_number': 1, 'time': 1553264820, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc1094', 'frc4314', 'frc6651']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc6237', 'frc2081', 'frc2022']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm38', 'match_number': 38, 'post_result_time': None, 'predicted_time': 1553285760, 'score_breakdown': None, 'set_number': 1, 'time': 1553285760, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2013', 'frc2081', 'frc6055']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc81', 'frc2022', 'frc3695']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm31', 'match_number': 31, 'post_result_time': None, 'predicted_time': 1553282400, 'score_breakdown': None, 'set_number': 1, 'time': 1553282400, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc4655', 'frc5822', 'frc2022']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc4256', 'frc323', 'frc2709']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm22', 'match_number': 22, 'post_result_time': None, 'predicted_time': 1553278080, 'score_breakdown': None, 'set_number': 1, 'time': 1553278080, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc1756', 'frc1329', 'frc1288']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc4096', 'frc2022', 'frc323']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm14', 'match_number': 14, 'post_result_time': None, 'predicted_time': 1553269860, 'score_breakdown': None, 'set_number': 1, 'time': 1553269860, 'videos': [], 'winning_alliance': ''}\n",
+      "{'actual_time': None, 'alliances': {'blue': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2039', 'frc2022', 'frc1288']}, 'red': {'dq_team_keys': [], 'score': -1, 'surrogate_team_keys': [], 'team_keys': ['frc2013', 'frc4096', 'frc1781']}}, 'comp_level': 'qm', 'event_key': '2019ilpe', 'key': '2019ilpe_qm10', 'match_number': 10, 'post_result_time': None, 'predicted_time': 1553267940, 'score_breakdown': None, 'set_number': 1, 'time': 1553267940, 'videos': [], 'winning_alliance': ''}\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Response [404]>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tbarequest.req_team_matches('frc16', '2019','UDvKmPjPRfwwUdDX1JxbmkyecYBJhCtXeyVk9vmO2i7K0Zn4wqQPMfzuEINXJ7e5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

data analysis/test.py

@@ -0,0 +1,97 @@
+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])
+