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import os |
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import pandas as pd |
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import streamlit as st |
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from config import DEFAULT_ICON |
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from shared_page import common_page_config |
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from streamlit_filter import filter_dataframe |
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KEEPER_DATA_URL = "../../tests/mocks/2023_keepers.csv" |
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HEADSHOT_DATA_URL = "../../tests/mocks/2023_player_headshots.csv" |
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def load_adp() -> pd.DataFrame: |
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df = pd.read_csv(r"https://raw.githubusercontent.com/dynastyprocess/data/master/files/db_fpecr_latest.csv") |
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df["ranking_type"] = df["fp_page"].apply(lambda x: os.path.split(x)[-1].replace(".php", "")) |
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return df |
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@st.cache_data(ttl=60 * 60 * 24) |
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def load_data(): |
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data = load_adp() |
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ranking_type_list = sorted(list(data.ranking_type.unique())) |
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return data, ranking_type_list |
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def filtered_ecr_dataframe(data: pd.DataFrame, ranking_type_list: list[str]): |
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default_ix = ranking_type_list.index("ppr-superflex-cheatsheets") |
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ranking_type_selected = st.selectbox("ECR Format:", ranking_type_list, index=default_ix) |
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ranking_type_filter = data["ranking_type"] == ranking_type_selected |
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is_advanced = st.checkbox("Show Advanced View") |
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id_cols = [ |
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"player", |
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"pos", |
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"team", |
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] |
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id_cols_advanced = [ |
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"bye", |
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"player_owned_yahoo", |
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] |
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adp_cols: list[str] = [ |
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"ecr", |
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] |
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adp_cols_advanced = ["sd", "best", "worst"] |
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if is_advanced: |
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show_columns = id_cols + id_cols_advanced + adp_cols + adp_cols_advanced |
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else: |
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show_columns = id_cols + adp_cols |
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data_filtered_by_ranking_type = data.loc[ranking_type_filter] |
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latest_scrape_date = data_filtered_by_ranking_type.scrape_date.max() |
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st.write(f"Scraped data as of: {latest_scrape_date}") |
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filtered_data = filter_dataframe(data.loc[ranking_type_filter, show_columns]) |
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st.dataframe( |
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filtered_data, |
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hide_index=True, |
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height=35 * (len(filtered_data) + 1) + 12, |
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use_container_width=True, |
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column_config={ |
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}, |
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) |
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st.write("Source: https://github.com/dynastyprocess/data") |
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def get_keeper_app(): |
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keeper_title = "Expert Consensus Rankings" |
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st.set_page_config(page_title=keeper_title, page_icon=DEFAULT_ICON, layout="wide") |
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common_page_config() |
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st.title(keeper_title) |
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data, ecr_type_list = load_data() |
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with st.container(): |
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filtered_ecr_dataframe(data, ecr_type_list) |
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if __name__ == "__main__": |
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get_keeper_app() |
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