YFDashboard / src /pages /80_Maximum_Roster_Strategy.py
Jon Solow
Load time slots based on separate sheet
3b6a23b
raw
history blame
3.95 kB
import pandas as pd
import streamlit as st
import streamlit.components.v1 as components
from config import DEFAULT_ICON
from shared_page import common_page_config, get_local_style
from maximum_roster_strategy import data_loader
MINIMUM_WEEK = 6
MAXIMUM_WEEK = 6
MIN_TIER = 1
MAX_TIER = 4
POSITION_OPTIONS = ["RB", "WR", "TE", "QB"]
POSITION_ABBR_FULL_NAME_MAP = {
"RB": "Running Backs",
"WR": "Wide Receivers",
"TE": "Tight Ends",
"QB": "Quarterbacks (Superflex / 2QB Leagues Only)",
}
@st.cache_data(ttl=60 * 60)
def load_data():
return data_loader.get_google_sheet_data(), data_loader.get_timeslot_labels()
def get_player_grid_div(player_series: pd.Series) -> str:
player_notes = player_series["Hold Condition"]
if (outcome := player_series["Outcome"]) == "Drop":
player_class = "drop-player"
elif outcome == "Light Hold":
player_class = "light-hold-player"
elif outcome == "Hold":
player_class = "hold-player"
else:
player_class = "undetermined-player"
if isinstance(player_weekly_note := player_series["Article Notes"], str):
player_notes += "<br><br>" + player_weekly_note
return f"""
<details class="mrs-grid-player content">
<summary class="{player_class}">
{player_series["Formatted"]}
</summary>
<p>
{player_notes}
</p>
</details>
"""
def get_time_slot_div(time_slot_list: list[str]) -> str:
code_str = ""
for time_slot_idx, time_slot in enumerate(time_slot_list):
code_str += f"""<div class="timeslot{time_slot_idx + 1} timeslot">{time_slot}</div>\n"""
return code_str
def get_tier_div(tier_str: str | int, tier_num: str | int) -> str:
return f"""<div class="tier{tier_num} tier">Tier {tier_str}</div>"""
def get_player_container(df_players: pd.DataFrame, slot_number: int | str) -> str:
if len(df_players) == 0:
player_code_str = "<br>"
else:
player_code_str = "\n".join(df_players.apply(get_player_grid_div, axis=1).tolist())
return f"""<div class="playerslot{slot_number} playerslot">{player_code_str}</div>"""
def get_position_breakdown(df: pd.DataFrame, position_abbr: str, position_full_str: str, time_slots: list[str]):
with st.container():
st.header(position_full_str)
df_pos = df[df["Position"] == position_abbr]
grid_code_str = ""
grid_code_str += get_time_slot_div(time_slots)
tier_list = list(range(MIN_TIER, MAX_TIER + 1))
slot_number = 0
for tier_idx, tier in enumerate(tier_list):
grid_code_str += get_tier_div(tier, tier_idx + 1)
for time_slot in time_slots:
df_tier_slot = df_pos[(df_pos["TimeSlotName"] == time_slot) & (df_pos["Tier"] == tier)]
slot_number += 1
grid_code_str += get_player_container(df_tier_slot, slot_number)
components.html(
f"""
{get_local_style()}
<div class="grid-container-{len(time_slots)}">
{grid_code_str}
</div>
""",
height=1000,
scrolling=True,
)
def get_page():
page_title = "Maximum Roster Strategy"
st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
common_page_config()
st.title(page_title)
col_select, week_select = st.columns(2, gap="small")
with col_select:
position = st.selectbox(label="Position", options=POSITION_OPTIONS, index=0)
with week_select:
week = st.selectbox(label="Week", options=list(range(MAXIMUM_WEEK, MINIMUM_WEEK - 1, -1)), index=0)
df_mrs, all_time_slots_df = load_data()
df_mrs = df_mrs[df_mrs["Week"] == week]
current_week_timeslots = (
all_time_slots_df[all_time_slots_df["Week"] == week].sort_values("WeekTimeSlotIndex").TimeSlotName.tolist()
)
get_position_breakdown(df_mrs, position, POSITION_ABBR_FULL_NAME_MAP[position], current_week_timeslots)
if __name__ == "__main__":
get_page()