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Create ui/db_explorer
Browse files- ui/db_explorer +69 -0
ui/db_explorer
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"""
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Database explorer UI component for the pharmaceutical data management agent.
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"""
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import streamlit as st
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import pandas as pd
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def render_db_explorer_tab(session_state):
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"""
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Render the database explorer tab in the UI.
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Args:
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session_state: Streamlit session state
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"""
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st.subheader("Database Explorer")
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# Get tables by category
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tables = session_state.db.get_tables()
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# Display tables by category
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col1, col2 = st.columns(2)
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with col1:
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st.markdown("### Raw Data Tables")
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for table in tables["raw_tables"]:
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with st.expander(table):
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sample = session_state.db.get_table_sample(table, 3)
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st.dataframe(pd.DataFrame(sample))
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st.markdown("### Staging Tables")
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for table in tables["staging_tables"]:
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with st.expander(table):
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sample = session_state.db.get_table_sample(table, 3)
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st.dataframe(pd.DataFrame(sample))
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with col2:
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st.markdown("### Analytics Ready Data")
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for table in tables["ard_tables"]:
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with st.expander(table):
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sample = session_state.db.get_table_sample(table, 3)
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st.dataframe(pd.DataFrame(sample))
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st.markdown("### Data Products")
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for table in tables["data_products"]:
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with st.expander(table):
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sample = session_state.db.get_table_sample(table, 3)
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st.dataframe(pd.DataFrame(sample))
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# SQL Query Executor
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st.markdown("### Query Explorer")
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with st.form(key="sql_form"):
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sql_query = st.text_area("Enter SQL Query", height=100,
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placeholder="SELECT * FROM ARD_SALES_PERFORMANCE WHERE region = 'North' LIMIT 5")
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run_sql = st.form_submit_button("Run Query")
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if run_sql and sql_query:
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with st.spinner("Executing query..."):
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result = session_state.db.execute_query(sql_query)
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if "error" in result:
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st.error(f"Error executing query: {result['error']}")
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elif "data" in result:
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st.dataframe(pd.DataFrame(result["data"]))
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st.success(f"Query returned {len(result['data'])} rows")
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elif "tables" in result:
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st.write(result["tables"])
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elif "schema" in result:
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st.write(f"Schema for {result['table']}:")
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st.dataframe(pd.DataFrame(result["schema"]))
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