Spaces:
Sleeping
Sleeping
File size: 2,387 Bytes
b48ba8c 6b0436a e80e35a 6b0436a b48ba8c 6b0436a f1a6adb 6b0436a 908a575 b48ba8c 6b0436a b48ba8c 6b0436a e80e35a 6b0436a 6d8d19f b48ba8c 908a575 6b0436a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
import datetime
import streamlit as st
from config import DEFAULT_ICON
from shared_page import common_page_config
from queries.nfl_teams.practice_reports import scrape_all_team_injury_report, CURRENT_SEASON, CURRENT_WEEK
@st.cache_data(ttl=60 * 60 * 1)
def load_data():
data = scrape_all_team_injury_report()
teams_list = list(data.Team.unique())
position_list = list(data.Position.unique())
status_list = list(data.game_status.unique())
last_practice_day_list = list(data["Last Practice Day"].unique())
data_load_time_str = datetime.datetime.utcnow().strftime("%m/%d/%Y %I:%M %p")
return data, teams_list, position_list, status_list, last_practice_day_list, data_load_time_str
def get_page():
page_title = f"Team Practice Reports - {CURRENT_SEASON} Week {CURRENT_WEEK}"
st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
common_page_config()
st.title(page_title)
if st.button("Refresh Data"):
st.cache_data.clear()
data, teams_list, position_list, status_list, last_practice_day_list, data_load_time_str = load_data()
st.write(f"Data loaded as of: {data_load_time_str} UTC")
teams_selected = st.multiselect("Team:", teams_list, placeholder="Select a team to filter") or teams_list
positions_selected = (
st.multiselect("Position:", position_list, placeholder="Select a position to filter") or position_list
)
status_selected = (
st.multiselect("Game Status:", status_list, placeholder="Select a game status to filter") or status_list
)
last_practice_day_selected = (
st.multiselect(
"Last Practice Day:", last_practice_day_list, placeholder="Select a day of last team practice to filter"
)
or last_practice_day_list
)
with st.container():
filtered_data = data[
(
data.Team.isin(teams_selected)
& data.Position.isin(positions_selected)
& data.game_status.isin(status_selected)
& data["Last Practice Day"].isin(last_practice_day_selected)
)
]
st.dataframe(
filtered_data,
hide_index=True,
height=35 * (len(filtered_data) + 1) + 12,
use_container_width=False,
column_config={},
)
if __name__ == "__main__":
get_page()
|