James McCool commited on
Commit
eb25c8a
·
1 Parent(s): 184b936

Aimed to add NBA as an option for the seed frame source

Browse files
Files changed (1) hide show
  1. app.py +89 -41
app.py CHANGED
@@ -38,16 +38,17 @@ def init_conn():
38
 
39
  uri = st.secrets['mongo_uri']
40
  client = pymongo.MongoClient(uri, retryWrites=True, serverSelectionTimeoutMS=500000)
41
- db = client["testing_db"]
42
 
43
  NFL_Data = st.secrets['NFL_Data']
44
 
 
 
45
  gc = gspread.service_account_from_dict(credentials)
46
  gc2 = gspread.service_account_from_dict(credentials2)
47
 
48
- return gc, gc2, db, NFL_Data
49
 
50
- gcservice_account, gcservice_account2, db, NFL_Data = init_conn()
51
 
52
  percentages_format = {'Exposure': '{:.2%}'}
53
  freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}', 'Edge': '{:.2%}'}
@@ -55,9 +56,13 @@ dk_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'pro
55
  fd_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']
56
 
57
  @st.cache_data(ttl = 599)
58
- def init_DK_seed_frames():
59
-
60
- collection = db["DK_NFL_SD_seed_frame"]
 
 
 
 
61
  cursor = collection.find()
62
 
63
  raw_display = pd.DataFrame(list(cursor))
@@ -67,9 +72,14 @@ def init_DK_seed_frames():
67
  return DK_seed
68
 
69
  @st.cache_data(ttl = 599)
70
- def init_DK_secondary_seed_frames():
 
 
 
 
 
71
 
72
- collection = db["DK_NFL_Secondary_SD_seed_frame"]
73
  cursor = collection.find()
74
 
75
  raw_display = pd.DataFrame(list(cursor))
@@ -79,9 +89,14 @@ def init_DK_secondary_seed_frames():
79
  return DK_second_seed
80
 
81
  @st.cache_data(ttl = 599)
82
- def init_FD_seed_frames():
 
 
 
 
 
83
 
84
- collection = db["FD_NFL_SD_seed_frame"]
85
  cursor = collection.find()
86
 
87
  raw_display = pd.DataFrame(list(cursor))
@@ -91,9 +106,14 @@ def init_FD_seed_frames():
91
  return FD_seed
92
 
93
  @st.cache_data(ttl = 599)
94
- def init_FD_secondary_seed_frames():
 
 
 
 
 
95
 
96
- collection = db["FD_NFL_Secondary_SD_seed_frame"]
97
  cursor = collection.find()
98
 
99
  raw_display = pd.DataFrame(list(cursor))
@@ -103,27 +123,53 @@ def init_FD_secondary_seed_frames():
103
  return FD_second_seed
104
 
105
  @st.cache_data(ttl = 599)
106
- def init_baselines():
107
- try:
108
- sh = gcservice_account.open_by_url(NFL_Data)
109
- except:
110
- sh = gcservice_account2.open_by_url(NFL_Data)
111
-
112
- worksheet = sh.worksheet('DK_SD_ROO')
113
- load_display = pd.DataFrame(worksheet.get_all_records())
114
- load_display.replace('', np.nan, inplace=True)
115
- load_display['STDev'] = load_display['Median'] / 4
116
- load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
117
-
118
- dk_raw = load_display.dropna(subset=['Median'])
119
-
120
- worksheet = sh.worksheet('FD_SD_ROO')
121
- load_display = pd.DataFrame(worksheet.get_all_records())
122
- load_display.replace('', np.nan, inplace=True)
123
- load_display['STDev'] = load_display['Median'] / 4
124
- load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
 
 
 
125
 
126
- fd_raw = load_display.dropna(subset=['Median'])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
127
 
128
  return dk_raw, fd_raw
129
 
@@ -189,15 +235,16 @@ with tab2:
189
  for key in st.session_state.keys():
190
  del st.session_state[key]
191
  dk_raw, fd_raw = init_baselines()
192
-
 
193
  slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown'))
194
 
195
  site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'))
196
  if site_var1 == 'Draftkings':
197
  if slate_var1 == 'Showdown':
198
- DK_seed = init_DK_seed_frames()
199
  elif slate_var1 == 'Secondary Showdown':
200
- DK_seed = init_DK_secondary_seed_frames()
201
  raw_baselines = dk_raw
202
  column_names = dk_columns
203
 
@@ -215,9 +262,9 @@ with tab2:
215
 
216
  elif site_var1 == 'Fanduel':
217
  if slate_var1 == 'Showdown':
218
- FD_seed = init_FD_seed_frames()
219
  elif slate_var1 == 'Secondary Showdown':
220
- FD_seed = init_FD_secondary_seed_frames()
221
  raw_baselines = fd_raw
222
  column_names = fd_columns
223
 
@@ -279,20 +326,21 @@ with tab1:
279
  for key in st.session_state.keys():
280
  del st.session_state[key]
281
  dk_raw, fd_raw = init_baselines()
 
282
  sim_slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown'), key='sim_slate_var1')
283
  sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
284
  if sim_site_var1 == 'Draftkings':
285
  if sim_slate_var1 == 'Showdown':
286
- DK_seed = init_DK_seed_frames()
287
  elif sim_slate_var1 == 'Secondary Showdown':
288
- DK_seed = init_DK_secondary_seed_frames()
289
  raw_baselines = dk_raw
290
  column_names = dk_columns
291
  elif sim_site_var1 == 'Fanduel':
292
  if sim_slate_var1 == 'Showdown':
293
- FD_seed = init_FD_seed_frames()
294
  elif sim_slate_var1 == 'Secondary Showdown':
295
- FD_seed = init_FD_secondary_seed_frames()
296
  raw_baselines = fd_raw
297
  column_names = fd_columns
298
 
 
38
 
39
  uri = st.secrets['mongo_uri']
40
  client = pymongo.MongoClient(uri, retryWrites=True, serverSelectionTimeoutMS=500000)
 
41
 
42
  NFL_Data = st.secrets['NFL_Data']
43
 
44
+ NBA_Data = st.secrets['NBA_Data']
45
+
46
  gc = gspread.service_account_from_dict(credentials)
47
  gc2 = gspread.service_account_from_dict(credentials2)
48
 
49
+ return gc, gc2, client, NFL_Data, NBA_Data
50
 
51
+ gcservice_account, gcservice_account2, client, NFL_Data, NBA_Data = init_conn()
52
 
53
  percentages_format = {'Exposure': '{:.2%}'}
54
  freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}', 'Edge': '{:.2%}'}
 
56
  fd_columns = ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']
57
 
58
  @st.cache_data(ttl = 599)
59
+ def init_DK_seed_frames(sport):
60
+ if sport == 'NFL':
61
+ db = client["testing_db"]
62
+ elif sport == 'NBA':
63
+ db = client["NBA_DFS"]
64
+
65
+ collection = db[f"DK_{sport}_SD_seed_frame"]
66
  cursor = collection.find()
67
 
68
  raw_display = pd.DataFrame(list(cursor))
 
72
  return DK_seed
73
 
74
  @st.cache_data(ttl = 599)
75
+ def init_DK_secondary_seed_frames(sport):
76
+
77
+ if sport == 'NFL':
78
+ db = client["testing_db"]
79
+ elif sport == 'NBA':
80
+ db = client["NBA_DFS"]
81
 
82
+ collection = db[f"DK_{sport}_Secondary_SD_seed_frame"]
83
  cursor = collection.find()
84
 
85
  raw_display = pd.DataFrame(list(cursor))
 
89
  return DK_second_seed
90
 
91
  @st.cache_data(ttl = 599)
92
+ def init_FD_seed_frames(sport):
93
+
94
+ if sport == 'NFL':
95
+ db = client["testing_db"]
96
+ elif sport == 'NBA':
97
+ db = client["NBA_DFS"]
98
 
99
+ collection = db[f"FD_{sport}_SD_seed_frame"]
100
  cursor = collection.find()
101
 
102
  raw_display = pd.DataFrame(list(cursor))
 
106
  return FD_seed
107
 
108
  @st.cache_data(ttl = 599)
109
+ def init_FD_secondary_seed_frames(sport):
110
+
111
+ if sport == 'NFL':
112
+ db = client["testing_db"]
113
+ elif sport == 'NBA':
114
+ db = client["NBA_DFS"]
115
 
116
+ collection = db[f"FD_{sport}_Secondary_SD_seed_frame"]
117
  cursor = collection.find()
118
 
119
  raw_display = pd.DataFrame(list(cursor))
 
123
  return FD_second_seed
124
 
125
  @st.cache_data(ttl = 599)
126
+ def init_baselines(sport):
127
+ if sport == 'NFL':
128
+ try:
129
+ sh = gcservice_account.open_by_url(NFL_Data)
130
+ except:
131
+ sh = gcservice_account2.open_by_url(NFL_Data)
132
+
133
+ worksheet = sh.worksheet('DK_SD_ROO')
134
+ load_display = pd.DataFrame(worksheet.get_all_records())
135
+ load_display.replace('', np.nan, inplace=True)
136
+ load_display['STDev'] = load_display['Median'] / 4
137
+ load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
138
+
139
+ dk_raw = load_display.dropna(subset=['Median'])
140
+
141
+ worksheet = sh.worksheet('FD_SD_ROO')
142
+ load_display = pd.DataFrame(worksheet.get_all_records())
143
+ load_display.replace('', np.nan, inplace=True)
144
+ load_display['STDev'] = load_display['Median'] / 4
145
+ load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
146
+
147
+ fd_raw = load_display.dropna(subset=['Median'])
148
 
149
+ elif sport == 'NBA':
150
+
151
+ try:
152
+ sh = gcservice_account.open_by_url(NBA_Data)
153
+ except:
154
+ sh = gcservice_account2.open_by_url(NBA_Data)
155
+
156
+ worksheet = sh.worksheet('Player_Level_SD_ROO')
157
+ load_display = pd.DataFrame(worksheet.get_all_records())
158
+ load_display.replace('', np.nan, inplace=True)
159
+ load_display['STDev'] = load_display['Median'] / 4
160
+ load_display = load_display[load_display['site'] == 'Draftkings']
161
+ load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
162
+
163
+ dk_raw = load_display.dropna(subset=['Median'])
164
+
165
+ worksheet = sh.worksheet('Player_Level_SD_ROO')
166
+ load_display = pd.DataFrame(worksheet.get_all_records())
167
+ load_display.replace('', np.nan, inplace=True)
168
+ load_display['STDev'] = load_display['Median'] / 4
169
+ load_display = load_display[load_display['site'] == 'Fanduel']
170
+ load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
171
+
172
+ fd_raw = load_display.dropna(subset=['Median'])
173
 
174
  return dk_raw, fd_raw
175
 
 
235
  for key in st.session_state.keys():
236
  del st.session_state[key]
237
  dk_raw, fd_raw = init_baselines()
238
+
239
+ sport_var1 = st.radio("What sport are you working with?", ('NFL', 'NBA'))
240
  slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown'))
241
 
242
  site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'))
243
  if site_var1 == 'Draftkings':
244
  if slate_var1 == 'Showdown':
245
+ DK_seed = init_DK_seed_frames(sport_var1)
246
  elif slate_var1 == 'Secondary Showdown':
247
+ DK_seed = init_DK_secondary_seed_frames(sport_var1)
248
  raw_baselines = dk_raw
249
  column_names = dk_columns
250
 
 
262
 
263
  elif site_var1 == 'Fanduel':
264
  if slate_var1 == 'Showdown':
265
+ FD_seed = init_FD_seed_frames(sport_var1)
266
  elif slate_var1 == 'Secondary Showdown':
267
+ FD_seed = init_FD_secondary_seed_frames(sport_var1)
268
  raw_baselines = fd_raw
269
  column_names = fd_columns
270
 
 
326
  for key in st.session_state.keys():
327
  del st.session_state[key]
328
  dk_raw, fd_raw = init_baselines()
329
+ sim_sport_var1 = st.radio("What sport are you working with?", ('NFL', 'NBA'))
330
  sim_slate_var1 = st.radio("Which data are you loading?", ('Showdown', 'Secondary Showdown'), key='sim_slate_var1')
331
  sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
332
  if sim_site_var1 == 'Draftkings':
333
  if sim_slate_var1 == 'Showdown':
334
+ DK_seed = init_DK_seed_frames(sim_sport_var1)
335
  elif sim_slate_var1 == 'Secondary Showdown':
336
+ DK_seed = init_DK_secondary_seed_frames(sim_sport_var1)
337
  raw_baselines = dk_raw
338
  column_names = dk_columns
339
  elif sim_site_var1 == 'Fanduel':
340
  if sim_slate_var1 == 'Showdown':
341
+ FD_seed = init_FD_seed_frames(sim_sport_var1)
342
  elif sim_slate_var1 == 'Secondary Showdown':
343
+ FD_seed = init_FD_secondary_seed_frames(sim_sport_var1)
344
  raw_baselines = fd_raw
345
  column_names = fd_columns
346