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:Xr1q5wZdXPbxdUmJ@testcluster.lgwtp5i.mongodb.net/?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:Xr1q5wZdXPbxdUmJ@testcluster.lgwtp5i.mongodb.net/?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')
|