Add ECR page

src/pages/3_ECR.py

@@ -0,0 +1,86 @@
+import os
+import pandas as pd
+import streamlit as st
+
+from config import DEFAULT_ICON
+from login_component import get_authorization_button
+from streamlit_filter import filter_dataframe
+
+
+KEEPER_DATA_URL = "../../tests/mocks/2023_keepers.csv"
+HEADSHOT_DATA_URL = "../../tests/mocks/2023_player_headshots.csv"
+
+
+def load_adp() -> pd.DataFrame:
+    df = pd.read_csv(r"https://raw.githubusercontent.com/dynastyprocess/data/master/files/db_fpecr_latest.csv")
+    df["ranking_type"] = df["fp_page"].apply(lambda x: os.path.split(x)[-1].replace(".php", ""))
+    return df
+
+
+@st.cache_data(ttl=60 * 60 * 24)
+def load_data():
+    # Merge ADP
+    data = load_adp()
+    ranking_type_list = sorted(list(data.ranking_type.unique()))
+    latest_scrape_date = data.scrape_date.max()
+    return data, ranking_type_list, latest_scrape_date
+
+
+def filtered_keeper_dataframe(data: pd.DataFrame, ranking_type_list: list[str], latest_scrape_date: str):
+    st.write(f"Scraped data as of: {latest_scrape_date}")
+    default_ix = ranking_type_list.index("ppr-superflex-cheatsheets")
+    ranking_type_selected = st.selectbox("ECR Format:", ranking_type_list, index=default_ix)
+    ranking_type_filter = data["ranking_type"] == ranking_type_selected
+
+    is_advanced = st.checkbox("Show Advanced View")
+
+    id_cols = [
+        "player_square_image_url",
+        "player",
+        "pos",
+        "team",
+    ]
+
+    id_cols_advanced = [
+        "bye",
+        "player_owned_yahoo",
+    ]
+
+    adp_cols: list[str] = [
+        "ecr",
+    ]
+
+    adp_cols_advanced = ["sd", "best", "worst"]
+
+    if is_advanced:
+        show_columns = id_cols + id_cols_advanced + adp_cols + adp_cols_advanced
+    else:
+        show_columns = id_cols + adp_cols
+
+    filtered_data = filter_dataframe(data.loc[ranking_type_filter, show_columns])
+    st.dataframe(
+        filtered_data,
+        hide_index=True,
+        height=35 * (len(filtered_data) + 1) + 12,
+        use_container_width=True,
+        column_config={
+            "player_square_image_url": st.column_config.ImageColumn(label="", help="Player image"),
+        },
+    )
+
+    st.write("Source: https://github.com/dynastyprocess/data")
+
+
+def get_keeper_app():
+    keeper_title = "Expert Consensus Rankings"
+    st.set_page_config(page_title=keeper_title, page_icon=DEFAULT_ICON, layout="wide")
+    get_authorization_button()
+    st.title(keeper_title)
+    data, ecr_type_list, latest_scrape_date = load_data()
+
+    with st.container():
+        filtered_keeper_dataframe(data, ecr_type_list, latest_scrape_date)
+
+
+if __name__ == "__main__":
+    get_keeper_app()