app.py

import streamlit as st
import pandas as pd
from datetime import datetime
import os
from huggingface_hub import HfApi, upload_file, list_repo_files, hf_hub_download

# Configuration for Hugging Face Repository
REPO_ID = "MarcosRodrigo/Breakfast-Poll"  # Use the correct format: namespace/repo_name
HISTORY_DIR = "history"  # Directory within the repository to store history
TEMP_FILE = "current_selections.csv"  # Temporary file to store current selections

# Hugging Face API (requires a token with write access)
hf_token = st.secrets["HF_TOKEN"]  # Use the token stored in the secrets manager
api = HfApi()

# Initialize all required session state variables
if "users" not in st.session_state:
    st.session_state.users = []  # List to hold users
if "current_selections" not in st.session_state:
    st.session_state.current_selections = []  # List to hold current selections
if "step" not in st.session_state:
    st.session_state.step = 1  # Step for navigation
if "history" not in st.session_state:
    st.session_state.history = []  # List to hold history data

# Load temporary selections from the shared file
def load_current_selections():
    if os.path.exists(TEMP_FILE):
        return pd.read_csv(TEMP_FILE)
    else:
        return pd.DataFrame(columns=["Name", "Drinks", "Food"])

# Save current user selections to the shared CSV file
def save_current_selection_to_file(current_selections):
    current_selections.to_csv(TEMP_FILE, index=False)

# Upload the shared file to Hugging Face repository for persistence
def upload_temp_file_to_repo():
    if os.path.exists(TEMP_FILE):
        upload_file(
            path_or_fileobj=TEMP_FILE,
            path_in_repo=TEMP_FILE,
            repo_id=REPO_ID,
            token=hf_token,
            repo_type="space"
        )

# Download the shared file from the repository to ensure persistence
def download_temp_file_from_repo():
    try:
        hf_hub_download(repo_id=REPO_ID, filename=TEMP_FILE, repo_type="space", token=hf_token)
    except Exception:
        # If the file does not exist in the repo, create an empty file
        pd.DataFrame(columns=["Name", "Drinks", "Food"]).to_csv(TEMP_FILE, index=False)

# Load history from the repository
def load_history():
    history = []
    files_in_repo = list_repo_files(REPO_ID, token=hf_token, repo_type="space")
    history_files = [f for f in files_in_repo if f.startswith(f"{HISTORY_DIR}/") and f.endswith(".txt")]

    for file in history_files:
        local_filepath = hf_hub_download(repo_id=REPO_ID, filename=file, token=hf_token, repo_type="space")
        summary_df = pd.read_csv(local_filepath)
        date = file.split("/")[-1].split(".txt")[0]
        history.append({"Date": date, "Summary": summary_df})
    return history

# Save the current summary to a text file and upload to the repository
def save_summary_to_file(summary_df):
    timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
    filename = f"{HISTORY_DIR}/{timestamp}.txt"
    
    # Save the DataFrame to a local CSV file
    local_filepath = f"{timestamp}.txt"
    summary_df.to_csv(local_filepath, index=False)

    # Upload the file to the Space repository with `repo_type="space"`
    upload_file(path_or_fileobj=local_filepath, path_in_repo=filename, repo_id=REPO_ID, token=hf_token, repo_type="space")

# Load persistent history and temporary selections on app start
if "history" not in st.session_state:
    download_temp_file_from_repo()  # Ensure the latest temp file is present
    st.session_state.history = load_history()
    st.session_state.current_selections = load_current_selections().to_dict(orient="records")

# Sidebar for navigating through different views
menu = st.sidebar.selectbox("Select View", ["Poll", "History"])

# Function to reset the current selections after submission
def reset_selections():
    st.session_state.users = []
    st.session_state.current_selections = []

# Poll view with four consecutive steps
if menu == "Poll":
    st.title("Breakfast Poll Application")

    # Step 1: User's Name
    if "step" not in st.session_state:
        st.session_state.step = 1

    if st.session_state.step == 1:
        st.header("Step 1: Enter your name")
        name = st.text_input("Name:")
        if st.button("Next", key="step1_next") and name:
            st.session_state.users.append(name)
            st.session_state.step = 2

    # Step 2: Select Drinks
    if st.session_state.step == 2:
        st.header("Step 2: Select your drink(s)")
        drinks_options = [
            "Café con leche", "Colacao", "Descafeinado con leche", "Cortado", 
            "Aguasusia", "Aguasusia susia", "Café descafeinado con leche desnatada", 
            "Italiano", "Café con soja", "Té", "Manzanilla", "Nada"
        ]
        selected_drinks = st.multiselect("Choose your drinks:", drinks_options)
        if st.button("Next", key="step2_next") and selected_drinks:
            st.session_state.current_selections.append({"Name": st.session_state.users[-1], "Drinks": selected_drinks})
            st.session_state.step = 3

    # Step 3: Select Food
    if st.session_state.step == 3:
        st.header("Step 3: Select your food(s)")
        food_options = [
            "Barrita con aceite", "Barrita con tomate", "Palmera de chocolate", 
            "Palmera de chocolate blanco", "Yogurt", "Pincho de tortilla", "Nada"
        ]
        selected_food = st.multiselect("Choose your food:", food_options)
        if st.button("Next", key="step3_next") and selected_food:
            st.session_state.current_selections[-1]["Food"] = selected_food
            st.session_state.step = 4

    # Step 4: Display Summary
    if st.session_state.step == 4:
        st.header("Step 4: Summary of Selections")
        if st.session_state.current_selections:
            df = pd.DataFrame(st.session_state.current_selections)
            st.table(df)

            if st.button("Submit Summary", key="submit_summary"):
                # Save the current summary to a text file in the repository
                save_summary_to_file(df)

                # Save and upload current selections for real-time updates
                save_current_selection_to_file(df)
                upload_temp_file_to_repo()

                # Add to session state history
                timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
                st.session_state.history.append({"Date": timestamp, "Summary": df})

                st.success(f"Summary submitted at {timestamp}")
                reset_selections()
                st.session_state.step = 1
                st.experimental_rerun()

# History view to check past summaries
elif menu == "History":
    st.title("Breakfast Poll History")
    if st.session_state.history:
        for record in st.session_state.history:
            st.subheader(f"Date: {record['Date']}")
            st.table(record["Summary"])
    else:
        st.write("No history records found.")