Delete src/streamlit_app.py

src/streamlit_app.py

@@ -1,100 +0,0 @@
-import os
-import pandas as pd
-import streamlit as st
-
-# Import modules
-from scripts.featureEngineering import add_flight_day
-from scripts.stats import tidy_from_wide, analyze_r1_vs_L
-from scripts.graphMaking import make_figure
-
-# Load Data
-def list_final_data(folder="final_data"):
-    """Return list of CSV files in final_data folder."""
-    return [f for f in os.listdir(folder) if f.endswith(".csv")]
-
-def load_final_data(fname, folder="final_data"):
-    """Load selected CSV file as pandas DataFrame."""
-    path = os.path.join(folder, fname)
-    return pd.read_csv(path)
-
-# Main App
-def main():
-    st.title("Astronaut Biochemistry Dashboard")
-
-    # 1. Sidebar file selection
-    st.sidebar.header("Data Selection")
-    csv_files = list_final_data()
-
-    if not csv_files:
-        st.error("No CSV files found in final_data/")
-        return
-
-    selected_file = st.sidebar.selectbox("Choose dataset", csv_files)
-    df_raw = load_final_data(selected_file)
-    st.write(f"Loaded file: **{selected_file}**")
-
-    # 2. Clean with feature engineering
-    df_clean = add_flight_day(df_raw)
-
-    # 3. Transform to tidy format + run stats
-    tidy_df = tidy_from_wide(df_clean)
-    stats_df = analyze_r1_vs_L(tidy_df)
-
-    # 4. Sidebar user selections
-    st.sidebar.header("Plot Controls")
-
-    analyte = st.sidebar.selectbox(
-        "Select Analyte",
-        options=tidy_df["analyte"].unique().tolist(),
-        index=tidy_df["analyte"].unique().tolist().index("sodium")
-        if "sodium" in tidy_df["analyte"].unique() else 0
-    )
-
-    astronauts = st.sidebar.multiselect(
-        "Select Astronauts",
-        # Normalize IDs to uppercase for consistency
-        options=sorted([a.upper() for a in tidy_df["astronautID"].unique().tolist()]),
-        default=[]
-    )
-    astronauts = [a.upper() for a in astronauts]
-
-    sex_filter = st.sidebar.radio(
-        "Sex Filter",
-        ["All", "Male", "Female"],
-        index=0
-    )
-
-    show_error = st.sidebar.radio(
-        "Error Band",
-        ["None", "within", "group"],
-        index=0
-    )
-    show_error = None if show_error == "None" else show_error
-
-    # Unify filters: Astronauts take priority, else fall back to sex filter
-    if astronauts:
-        astronaut_filter = astronauts
-    elif sex_filter != "All":
-        astronaut_filter = sex_filter
-    else:
-        astronaut_filter = None
-
-    # 5. Generate figure
-    if analyte:
-        fig = make_figure(
-            tidy_df=tidy_df,
-            stats_df=stats_df,
-            analytes=[analyte],
-            astronaut_filter=astronaut_filter,
-            show_error=show_error
-        )
-        st.plotly_chart(fig, use_container_width=True)
-    else:
-        st.warning("Please select at least one analyte to plot.")
-
-    # 6. Optional: preview data
-    with st.expander("Preview Data"):
-        st.dataframe(tidy_df.head(20))
-
-if __name__ == "__main__":
-    main()