from test_embeddings import create_test_data, transform_jobseeker_to_opensearch, IndependentJobSeekerAssessmentRDS
from chroma_storage import ChromaMatchingSystem
from opensearch_client import OpenSearchClient
from two_phase_search import TwoPhaseSearchSystem
import json

def test_single_jobseeker(opensearch_client):
    """Test OpenSearch with one jobseeker"""
    print("\nTesting OpenSearch with a single jobseeker...")

    # Create one test jobseeker
    test_jobseeker = IndependentJobSeekerAssessmentRDS(
        primary_skills=["Python", "AWS"],
        secondary_skills=["Docker", "CI/CD"],
        experiences=[{
            "title": "Software Engineer",
            "company": "Tech Co.",
            "duration": "3 years",
            "description": "Developed scalable software systems and optimized cloud infrastructure."
        }],
        educations=[{
            "degree": "Bachelor's",
            "field": "Computer Science",
            "institution": "Tech University"
        }],
        certifications=[{
            "name": "AWS Solutions Architect",
            "organization": "AWS",
            "start_date": "2022-01",
            "end_date": "2025-01"
        }]
    )

    # Transform and index into OpenSearch
    jobseeker_id = "test_seeker_1"
    payload = transform_jobseeker_to_opensearch(test_jobseeker, jobseeker_id)
    response = opensearch_client.index_jobseeker(payload)

    if response:
        print(f"Successfully indexed jobseeker {jobseeker_id}: {response}")
    else:
        print(f"Failed to index jobseeker {jobseeker_id}")

def test_two_phase_search():
    """Test the complete two-phase search pipeline"""
    print("\nTesting two-phase search system...")
    
    # Initialize components
    chroma_matcher = ChromaMatchingSystem()
    opensearch_client = OpenSearchClient()
    search_system = TwoPhaseSearchSystem(chroma_matcher, opensearch_client)

    # Check if OpenSearch database has any data
    print("\nChecking if OpenSearch database has any data...")
    test_payload = {
        "boolean_search_query": "Software AND (Python OR AWS)",  # Simple boolean query
        "skills": [],                # No skill requirements
        "size": 100,                 # Retrieve up to 100 entries
        "sort_by": ["score"]
    }
    opensearch_results = opensearch_client.search_jobseekers(test_payload)
    if opensearch_results:
        print(f"OpenSearch returned {len(opensearch_results)} entries.")
    else:
        print("OpenSearch database is empty or the query returned no results.")

    # Get test data
    (job_posting, matching_seeker, matching_info,
     partial_matching_seeker, partial_matching_info,
     non_matching_seeker, non_matching_info) = create_test_data()
    
    print("\nAdding test seekers to ChromaDB...")
    # Add test seekers to ChromaDB
    test_seekers = [
        ("seeker_1", matching_seeker, matching_info, 
         {"experience_level": "senior"}),
        ("seeker_2", partial_matching_seeker, partial_matching_info,
         {"experience_level": "mid"}),
        ("seeker_3", non_matching_seeker, non_matching_info,
         {"experience_level": "mid"})
    ]
    
    for seeker_id, processed, unprocessed, metadata in test_seekers:
        print(f"Adding job seeker: {seeker_id}")
        chroma_matcher.add_job_seeker(seeker_id, processed, unprocessed, metadata)
    
    # Build search parameters using updated method
    search_params = search_system.build_search_params(
        job_posting=job_posting,
        location={
            "state": "CA",
            "country": "US"
        },
        certifications={
            "name": "AWS Solutions Architect",
            "organization": "AWS"
        },
        tags=[
            {
                "tag_key": "seniority",
                "tag_value": "senior"
            }
        ]
    )
    
    print("\nConstructed Search Parameters:")
    print("=" * 60)
    print(json.dumps(search_params, indent=2))
    
    # Perform search
    print("\nPerforming search...")
    results = search_system.search_candidates(
        job_posting=job_posting,
        search_params=search_params,
        n_results=10
    )
    
    # Print results
    print("\nSearch Results:")
    print("=" * 60)
    
    if not results:
        print("No matches found")
        print("\nDebug: Checking OpenSearch response...")
        opensearch_results = opensearch_client.search_jobseekers(search_params)
        print(f"OpenSearch returned {len(opensearch_results)} results")
        return
        
    for i, result in enumerate(results, 1):
        print(f"\nMatch {i}:")
        print(f"Jobseeker ID: {result['jobseeker_id']}")
        print(f"ChromaDB Score: {result['similarity_score']:.3f}")
        print(f"OpenSearch Score: {result['opensearch_score']:.3f}")
        print("\nField Scores:")
        for field, score in result['field_scores'].items():
            print(f"  {field}: {score:.3f}")
        print(f"\nExplanation: {result['explanation']}")

if __name__ == "__main__":
    test_two_phase_search()