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import streamlit as st
import pandas as pd
import psycopg2
import os
# Load DB credentials from Hugging Face secrets or environment variables
DB_HOST = os.getenv("DB_HOST")
DB_PORT = os.getenv("DB_PORT", "5432")
DB_NAME = os.getenv("DB_NAME")
DB_USER = os.getenv("DB_USER")
DB_PASSWORD = os.getenv("DB_PASSWORD")
@st.cache_data(ttl=600)
def get_data():
try:
conn = psycopg2.connect(
host=DB_HOST,
port=DB_PORT,
dbname=DB_NAME,
user=DB_USER,
password=DB_PASSWORD,
sslmode="require"
)
query = "SELECT country, year, section, question_code, question_text, answer_code, answer_text FROM survey_info;"
df = pd.read_sql_query(query, conn)
conn.close()
return df
except Exception as e:
st.error(f"Failed to connect to the database: {e}")
st.stop()
# Load data
df = get_data()
# Streamlit UI
st.title("🌍 CGD Survey Explorer (Live DB)")
# Multiselect filters (defaults = empty, shows all if none selected)
country_options = sorted(df["country"].dropna().unique())
year_options = sorted(df["year"].dropna().unique())
selected_countries = st.sidebar.multiselect("Select Country/Countries", country_options)
selected_years = st.sidebar.multiselect("Select Year(s)", year_options)
keyword = st.sidebar.text_input("Keyword Search", "")
# Apply filters
filtered = df[
(df["country"].isin(selected_countries) if selected_countries else True) &
(df["year"].isin(selected_years) if selected_years else True) &
(df["question_text"].str.contains(keyword, case=False, na=False))
]
# Generate dynamic subheading
heading_parts = []
if selected_countries:
heading_parts.append("Countries: " + ", ".join(selected_countries))
if selected_years:
heading_parts.append("Years: " + ", ".join(map(str, selected_years)))
if heading_parts:
st.markdown("### Results for " + " | ".join(heading_parts))
else:
st.markdown("### Results for All Countries and Years")
# Display results including answer_text
st.dataframe(filtered[["country", "year", "question_text", "answer_text"]])
# Empty result message
if filtered.empty:
st.info("No matching questions found.")
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