Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -6,7 +6,7 @@ import gspread
|
|
6 |
import pymongo
|
7 |
import time
|
8 |
|
9 |
-
@st.
|
10 |
def init_conn():
|
11 |
scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive']
|
12 |
|
@@ -25,7 +25,20 @@ def init_conn():
|
|
25 |
uri = "mongodb+srv://multichem:[email protected]/?retryWrites=true&w=majority&appName=TestCluster"
|
26 |
client = pymongo.MongoClient(uri, retryWrites=True, serverSelectionTimeoutMS=100000)
|
27 |
db = client["testing_db"]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
|
|
|
|
|
29 |
collection = db["DK_MLB_seed_frame"]
|
30 |
cursor = collection.find()
|
31 |
|
@@ -39,19 +52,8 @@ def init_conn():
|
|
39 |
raw_display = pd.DataFrame(list(cursor))
|
40 |
raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']]
|
41 |
FD_seed = raw_display.to_numpy()
|
42 |
-
|
43 |
-
MLB_Data = 'https://docs.google.com/spreadsheets/d/1f42Ergav8K1VsOLOK9MUn7DM_MLMvv4GR2Fy7EfnZTc/edit#gid=340831852'
|
44 |
-
|
45 |
-
gc_con = gspread.service_account_from_dict(credentials, scope)
|
46 |
|
47 |
-
|
48 |
-
|
49 |
-
return gc_con, client, db, DK_seed, FD_seed, MLB_Data
|
50 |
-
|
51 |
-
percentages_format = {'Exposure': '{:.2%}'}
|
52 |
-
freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}', 'Edge': '{:.2%}'}
|
53 |
-
dk_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']
|
54 |
-
fd_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']
|
55 |
|
56 |
@st.cache_data(ttl = 599)
|
57 |
def init_baselines():
|
@@ -124,7 +126,7 @@ def sim_contest(Sim_size, seed_frame, maps_dict, sharp_split, Contest_Size):
|
|
124 |
|
125 |
return Sim_Winners
|
126 |
|
127 |
-
|
128 |
dk_raw, fd_raw = init_baselines()
|
129 |
|
130 |
tab1, tab2 = st.tabs(['Data Export', 'Contest Sims'])
|
@@ -135,7 +137,7 @@ with tab1:
|
|
135 |
st.cache_data.clear()
|
136 |
for key in st.session_state.keys():
|
137 |
del st.session_state[key]
|
138 |
-
|
139 |
dk_raw, fd_raw = init_baselines()
|
140 |
|
141 |
slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Other Main Slate'))
|
@@ -221,7 +223,7 @@ with tab2:
|
|
221 |
st.cache_data.clear()
|
222 |
for key in st.session_state.keys():
|
223 |
del st.session_state[key]
|
224 |
-
|
225 |
dk_raw, fd_raw = init_baselines()
|
226 |
sim_slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Other Main Slate'), key='sim_slate_var1')
|
227 |
sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
|
|
|
6 |
import pymongo
|
7 |
import time
|
8 |
|
9 |
+
@st.cache_resource
|
10 |
def init_conn():
|
11 |
scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive']
|
12 |
|
|
|
25 |
uri = "mongodb+srv://multichem:[email protected]/?retryWrites=true&w=majority&appName=TestCluster"
|
26 |
client = pymongo.MongoClient(uri, retryWrites=True, serverSelectionTimeoutMS=100000)
|
27 |
db = client["testing_db"]
|
28 |
+
|
29 |
+
MLB_Data = 'https://docs.google.com/spreadsheets/d/1f42Ergav8K1VsOLOK9MUn7DM_MLMvv4GR2Fy7EfnZTc/edit#gid=340831852'
|
30 |
+
|
31 |
+
gc_con = gspread.service_account_from_dict(credentials, scope)
|
32 |
+
|
33 |
+
gcservice_account, db = init_conn()
|
34 |
+
|
35 |
+
percentages_format = {'Exposure': '{:.2%}'}
|
36 |
+
freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}', 'Edge': '{:.2%}'}
|
37 |
+
dk_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']
|
38 |
+
fd_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']
|
39 |
|
40 |
+
@st.cache_data(ttl = 599)
|
41 |
+
def init_seed_frames(database):
|
42 |
collection = db["DK_MLB_seed_frame"]
|
43 |
cursor = collection.find()
|
44 |
|
|
|
52 |
raw_display = pd.DataFrame(list(cursor))
|
53 |
raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']]
|
54 |
FD_seed = raw_display.to_numpy()
|
|
|
|
|
|
|
|
|
55 |
|
56 |
+
return DK_Seed, FD_Seed
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
57 |
|
58 |
@st.cache_data(ttl = 599)
|
59 |
def init_baselines():
|
|
|
126 |
|
127 |
return Sim_Winners
|
128 |
|
129 |
+
DK_Seed, FD_Seed = init_seed_frames(db)
|
130 |
dk_raw, fd_raw = init_baselines()
|
131 |
|
132 |
tab1, tab2 = st.tabs(['Data Export', 'Contest Sims'])
|
|
|
137 |
st.cache_data.clear()
|
138 |
for key in st.session_state.keys():
|
139 |
del st.session_state[key]
|
140 |
+
DK_Seed, FD_Seed = init_seed_frames(db)
|
141 |
dk_raw, fd_raw = init_baselines()
|
142 |
|
143 |
slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Other Main Slate'))
|
|
|
223 |
st.cache_data.clear()
|
224 |
for key in st.session_state.keys():
|
225 |
del st.session_state[key]
|
226 |
+
DK_Seed, FD_Seed = init_seed_frames(db)
|
227 |
dk_raw, fd_raw = init_baselines()
|
228 |
sim_slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Other Main Slate'), key='sim_slate_var1')
|
229 |
sim_site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'), key='sim_site_var1')
|