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James McCool
commited on
Commit
·
7094bdb
1
Parent(s):
46ed57c
Fix case sensitivity in database collection names for Draftkings and Fanduel in app.py
Browse files
app.py
CHANGED
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@@ -48,7 +48,7 @@ def init_DK_seed_frames(sharp_split):
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@st.cache_data(ttl = 60)
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def init_DK_secondary_seed_frames(sharp_split):
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collection = db['
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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@@ -58,7 +58,7 @@ def init_DK_secondary_seed_frames(sharp_split):
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cursor = collection.find({"Site": "Draftkings", "Slate": "secondary_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@@ -73,7 +73,7 @@ def init_DK_secondary_seed_frames(sharp_split):
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@st.cache_data(ttl = 60)
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def init_DK_auxiliary_seed_frames(sharp_split):
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collection = db['
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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@@ -83,7 +83,7 @@ def init_DK_auxiliary_seed_frames(sharp_split):
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cursor = collection.find({"Site": "Draftkings", "Slate": "turbo_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@@ -123,7 +123,7 @@ def init_FD_seed_frames(sharp_split):
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@st.cache_data(ttl = 60)
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def init_FD_secondary_seed_frames(sharp_split):
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collection = db['
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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@@ -133,7 +133,7 @@ def init_FD_secondary_seed_frames(sharp_split):
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cursor = collection.find({"Site": "Fanduel", "Slate": "secondary_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@@ -148,7 +148,7 @@ def init_FD_secondary_seed_frames(sharp_split):
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@st.cache_data(ttl = 60)
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def init_FD_auxiliary_seed_frames(sharp_split):
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collection = db['
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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@@ -158,7 +158,7 @@ def init_FD_auxiliary_seed_frames(sharp_split):
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cursor = collection.find({"Site": "Fanduel", "Slate": "turbo_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@st.cache_data(ttl = 60)
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def init_DK_secondary_seed_frames(sharp_split):
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collection = db['DK_MLB_Secondary_name_map']
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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cursor = collection.find({"Site": "Draftkings", "Slate": "secondary_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["DK_MLB_Secondary_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@st.cache_data(ttl = 60)
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def init_DK_auxiliary_seed_frames(sharp_split):
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collection = db['DK_MLB_Turbo_name_map']
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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cursor = collection.find({"Site": "Draftkings", "Slate": "turbo_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["DK_MLB_Turbo_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@st.cache_data(ttl = 60)
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def init_FD_secondary_seed_frames(sharp_split):
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collection = db['FD_MLB_Secondary_name_map']
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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cursor = collection.find({"Site": "Fanduel", "Slate": "secondary_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["FD_MLB_Secondary_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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@st.cache_data(ttl = 60)
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def init_FD_auxiliary_seed_frames(sharp_split):
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collection = db['FD_MLB_Turbo_name_map']
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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cursor = collection.find({"Site": "Fanduel", "Slate": "turbo_slate"})
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valid_players = set(pd.DataFrame(list(cursor))['Player'].unique())
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collection = db["FD_MLB_Turbo_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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