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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)")
st.sidebar.header("🔎 Filter Questions")
# Dropdown filters (optional)
countries = sorted(df["country"].dropna().unique())
years = sorted(df["year"].dropna().unique())
selected_countries = st.sidebar.multiselect("Select Country", countries, default=countries)
selected_years = st.sidebar.multiselect("Select Year", years, default=years)
keyword = st.sidebar.text_input("Keyword Search (in question)", "")
# Column selector
all_columns = df.columns.tolist()
default_columns = ["country", "question", "responses"]
selected_columns = st.sidebar.multiselect("Columns to Display", all_columns, default=default_columns)
# Apply filters
filtered = df[
df["country"].isin(selected_countries) &
df["year"].isin(selected_years)
]
if keyword:
filtered = filtered[filtered["question"].str.contains(keyword, case=False, na=False)]
# Show results
st.markdown("### Filtered Results")
if not filtered.empty:
st.dataframe(filtered[selected_columns])
else:
st.info("No matching questions found.")
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