test_queries.py

#!/usr/bin/env python3
"""

Test script to validate the Congressional Bioguide database and search functionality.

"""

import sqlite3
import json
from pathlib import Path


def test_database():
    """Test database structure and basic queries."""
    print("Testing Database...")
    print("=" * 60)

    if not Path("congress.db").exists():
        print("❌ Database not found. Run ingest_data.py first.")
        return False

    conn = sqlite3.connect("congress.db")
    cursor = conn.cursor()

    # Test 1: Count members
    cursor.execute("SELECT COUNT(*) FROM members")
    member_count = cursor.fetchone()[0]
    print(f"✓ Members in database: {member_count}")

    # Test 2: Count job positions
    cursor.execute("SELECT COUNT(*) FROM job_positions")
    job_count = cursor.fetchone()[0]
    print(f"✓ Job positions recorded: {job_count}")

    # Test 3: Search by name
    cursor.execute("""

        SELECT bio_id, family_name, given_name, birth_date, death_date

        FROM members

        WHERE unaccented_family_name = 'Lincoln'

        ORDER BY birth_date

    """)
    lincolns = cursor.fetchall()
    print(f"\n✓ Found {len(lincolns)} member(s) with family name 'Lincoln':")
    for bio_id, family, given, birth, death in lincolns:
        print(f"  - {given} {family} ({bio_id}): {birth} - {death or 'present'}")

    # Test 4: Party breakdown
    cursor.execute("""

        SELECT party, COUNT(DISTINCT bio_id) as count

        FROM job_positions

        WHERE party IS NOT NULL

        GROUP BY party

        ORDER BY count DESC

        LIMIT 10

    """)
    parties = cursor.fetchall()
    print(f"\n✓ Top parties by member count:")
    for party, count in parties:
        print(f"  - {party}: {count} members")

    # Test 5: State representation
    cursor.execute("""

        SELECT region_code, COUNT(DISTINCT bio_id) as count

        FROM job_positions

        WHERE region_code IS NOT NULL AND region_type = 'StateRegion'

        GROUP BY region_code

        ORDER BY count DESC

        LIMIT 10

    """)
    states = cursor.fetchall()
    print(f"\n✓ Top states by member count:")
    for state, count in states:
        print(f"  - {state}: {count} members")

    # Test 6: Relationships
    cursor.execute("SELECT COUNT(*) FROM relationships")
    rel_count = cursor.fetchone()[0]
    print(f"\n✓ Family relationships recorded: {rel_count}")

    if rel_count > 0:
        cursor.execute("""

            SELECT m1.given_name, m1.family_name, r.relationship_type,

                   m2.given_name, m2.family_name

            FROM relationships r

            JOIN members m1 ON r.bio_id = m1.bio_id

            JOIN members m2 ON r.related_bio_id = m2.bio_id

            LIMIT 5

        """)
        relationships = cursor.fetchall()
        print("  Sample relationships:")
        for given1, family1, rel_type, given2, family2 in relationships:
            print(f"  - {given1} {family1} is {rel_type} of {given2} {family2}")

    # Test 7: Profile text
    cursor.execute("""

        SELECT bio_id, given_name, family_name, LENGTH(profile_text) as text_len

        FROM members

        WHERE profile_text IS NOT NULL

        ORDER BY text_len DESC

        LIMIT 5

    """)
    longest_profiles = cursor.fetchall()
    print(f"\n✓ Longest biography profiles:")
    for bio_id, given, family, length in longest_profiles:
        print(f"  - {given} {family} ({bio_id}): {length} characters")

    conn.close()
    return True


def test_faiss_index():
    """Test FAISS index."""
    print("\n\nTesting FAISS Index...")
    print("=" * 60)

    if not Path("congress_faiss.index").exists():
        print("❌ FAISS index not found. Run ingest_data.py first.")
        return False

    if not Path("congress_bio_ids.pkl").exists():
        print("❌ Bio ID mapping not found. Run ingest_data.py first.")
        return False

    try:
        import faiss
        import pickle
        from sentence_transformers import SentenceTransformer

        # Load index
        index = faiss.read_index("congress_faiss.index")
        with open("congress_bio_ids.pkl", "rb") as f:
            bio_ids = pickle.load(f)

        print(f"✓ FAISS index loaded: {index.ntotal} vectors")
        print(f"✓ Dimension: {index.d}")

        # Load model
        model = SentenceTransformer('all-MiniLM-L6-v2')
        print("✓ Sentence transformer model loaded")

        # Test search
        test_queries = [
            "lawyers who became judges",
            "Civil War veterans",
            "served in the military",
            "teachers and educators"
        ]

        for query in test_queries:
            print(f"\n✓ Testing query: '{query}'")
            query_embedding = model.encode([query])[0].reshape(1, -1).astype('float32')
            faiss.normalize_L2(query_embedding)

            scores, indices = index.search(query_embedding, 3)

            # Load database to get names
            conn = sqlite3.connect("congress.db")
            cursor = conn.cursor()

            print("  Top 3 results:")
            for idx, score in zip(indices[0], scores[0]):
                if idx < len(bio_ids):
                    bio_id = bio_ids[idx]
                    cursor.execute(
                        "SELECT given_name, family_name FROM members WHERE bio_id = ?",
                        (bio_id,)
                    )
                    result = cursor.fetchone()
                    if result:
                        given, family = result
                        print(f"    - {given} {family} ({bio_id}): score={score:.4f}")

            conn.close()

        return True

    except ImportError as e:
        print(f"❌ Missing dependency: {e}")
        print("   Run: pip install -r requirements.txt")
        return False
    except Exception as e:
        print(f"❌ Error testing FAISS: {e}")
        return False


def test_sample_profile():
    """Display a sample profile."""
    print("\n\nSample Profile...")
    print("=" * 60)

    conn = sqlite3.connect("congress.db")
    conn.row_factory = sqlite3.Row
    cursor = conn.cursor()

    # Get a well-known member
    cursor.execute("""

        SELECT * FROM members

        WHERE unaccented_family_name = 'Lincoln' AND unaccented_given_name = 'Abraham'

        LIMIT 1

    """)
    member = cursor.fetchone()

    if member:
        bio_id = member['bio_id']
        print(f"Profile: {member['given_name']} {member['family_name']} ({bio_id})")
        print(f"Birth: {member['birth_date']}")
        print(f"Death: {member['death_date']}")
        print(f"\nBiography excerpt:")
        profile_text = member['profile_text'] or ""
        print(f"  {profile_text[:300]}...")

        # Get positions
        cursor.execute("""

            SELECT job_name, party, congress_number, region_code, start_date, end_date

            FROM job_positions

            WHERE bio_id = ?

            ORDER BY start_date

        """, (bio_id,))
        positions = cursor.fetchall()

        if positions:
            print(f"\nPositions held ({len(positions)}):")
            for pos in positions:
                print(f"  - {pos['job_name']} ({pos['party']}), {pos['region_code']}")
                print(f"    Congress {pos['congress_number']}: {pos['start_date']} - {pos['end_date']}")

    conn.close()


def main():
    """Run all tests."""
    print("Congressional Bioguide Database Test Suite")
    print("=" * 60)
    print()

    db_ok = test_database()
    faiss_ok = test_faiss_index()

    if db_ok:
        test_sample_profile()

    print("\n" + "=" * 60)
    if db_ok and faiss_ok:
        print("✓ All tests passed!")
        print("\nThe system is ready to use. Start the MCP server with:")
        print("  python3 server.py")
    else:
        print("❌ Some tests failed. Please check the errors above.")
        if not db_ok:
            print("  Run: python3 ingest_data.py")


if __name__ == "__main__":
    main()