"""
Dev B Test Suite - Run with: .venv/Scripts/python test_devb.py
"""

import asyncio
import sys
sys.path.insert(0, '.')

from app.llm import generate_documentation, synthesize_answer, get_embedding
from app.vectorstore import init_vectorstore, add_embedding, search, count_embeddings, delete_by_project

# Test counters
passed = 0
failed = 0


def test(name, condition, details=""):
    global passed, failed
    if condition:
        print(f"  [PASS] {name}")
        passed += 1
    else:
        print(f"  [FAIL] {name} - {details}")
        failed += 1


async def test_llm():
    print("\n[1/4] Testing LLM Client (llm.py)")
    print("-" * 40)

    # Test 1: get_embedding
    try:
        emb = await get_embedding("test embedding")
        test("get_embedding returns list", isinstance(emb, list))
        test("get_embedding returns 768 dims", len(emb) == 768, f"got {len(emb)}")
        test("get_embedding returns floats", isinstance(emb[0], float))
    except Exception as e:
        test("get_embedding", False, str(e))

    # Test 2: generate_documentation
    try:
        doc = await generate_documentation(
            task_title="Setup API",
            what_i_did="Created REST endpoints",
            code_snippet="@app.get('/api')"
        )
        test("generate_documentation returns dict", isinstance(doc, dict))
        test("generate_documentation has summary", "summary" in doc)
        test("generate_documentation has details", "details" in doc)
        test("generate_documentation has tags", "tags" in doc and isinstance(doc["tags"], list))
    except Exception as e:
        test("generate_documentation", False, str(e))

    # Test 3: synthesize_answer
    try:
        answer = await synthesize_answer(
            context="Task completed: Built login system with JWT authentication",
            query="What authentication was implemented?"
        )
        test("synthesize_answer returns string", isinstance(answer, str))
        test("synthesize_answer not empty", len(answer) > 0)
    except Exception as e:
        test("synthesize_answer", False, str(e))


async def test_vectorstore():
    print("\n[2/4] Testing Vector Store (vectorstore.py)")
    print("-" * 40)

    # Test 1: init_vectorstore
    try:
        init_vectorstore()
        test("init_vectorstore succeeds", True)
    except Exception as e:
        test("init_vectorstore", False, str(e))
        return  # Can't continue without init

    # Clean up test data first
    try:
        delete_by_project("test-project-xyz")
    except:
        pass

    # Test 2: add_embedding
    try:
        emb = await get_embedding("Test document about Python programming")
        add_embedding(
            log_entry_id="test-entry-1",
            text="Test document about Python programming",
            embedding=emb,
            metadata={
                "project_id": "test-project-xyz",
                "user_id": "test-user",
                "task_id": "test-task",
                "created_at": "2024-01-01T00:00:00"
            }
        )
        test("add_embedding succeeds", True)
    except Exception as e:
        test("add_embedding", False, str(e))

    # Test 3: count_embeddings
    try:
        count = count_embeddings("test-project-xyz")
        test("count_embeddings returns int", isinstance(count, int))
        test("count_embeddings >= 1", count >= 1, f"got {count}")
    except Exception as e:
        test("count_embeddings", False, str(e))

    # Test 4: search
    try:
        query_emb = await get_embedding("Python")
        results = search(query_emb, "test-project-xyz", n_results=5)
        test("search returns list", isinstance(results, list))
        test("search finds results", len(results) > 0, "no results found")
        if results:
            test("search result has id", "id" in results[0])
            test("search result has metadata", "metadata" in results[0])
            test("search result has distance", "distance" in results[0])
    except Exception as e:
        test("search", False, str(e))

    # Test 5: delete_by_project
    try:
        delete_by_project("test-project-xyz")
        count_after = count_embeddings("test-project-xyz")
        test("delete_by_project removes data", count_after == 0, f"still has {count_after}")
    except Exception as e:
        test("delete_by_project", False, str(e))


async def test_full_pipeline():
    print("\n[3/4] Testing Full Pipeline")
    print("-" * 40)

    project_id = "pipeline-test-proj"

    # Clean up first
    try:
        delete_by_project(project_id)
    except:
        pass

    try:
        # Step 1: Generate documentation
        doc = await generate_documentation(
            task_title="Implement user registration",
            what_i_did="Added signup endpoint with email validation and password hashing",
            code_snippet="def register(email, password): ..."
        )
        test("Pipeline: doc generation", "summary" in doc and "details" in doc)

        # Step 2: Create embedding from doc
        text_to_embed = f"{doc['summary']} {doc['details']}"
        embedding = await get_embedding(text_to_embed)
        test("Pipeline: embedding created", len(embedding) == 768)

        # Step 3: Store in vectorstore
        add_embedding(
            log_entry_id="pipeline-log-1",
            text=text_to_embed,
            embedding=embedding,
            metadata={"project_id": project_id, "user_id": "dev1"}
        )
        test("Pipeline: stored in vectorstore", count_embeddings(project_id) == 1)

        # Step 4: Search for it
        query_emb = await get_embedding("user registration signup")
        results = search(query_emb, project_id)
        test("Pipeline: search finds it", len(results) > 0)

        # Step 5: Synthesize answer
        if results:
            context = results[0]["metadata"]["text"]
            answer = await synthesize_answer(context, "What was done for user registration?")
            test("Pipeline: answer synthesized", len(answer) > 20)

        # Cleanup
        delete_by_project(project_id)

    except Exception as e:
        test("Pipeline", False, str(e))


async def test_edge_cases():
    print("\n[4/4] Testing Edge Cases")
    print("-" * 40)

    # Test empty search
    try:
        init_vectorstore()
        emb = await get_embedding("random query")
        results = search(emb, "nonexistent-project-12345")
        test("Empty search returns empty list", results == [])
    except Exception as e:
        test("Empty search", False, str(e))

    # Test long text embedding
    try:
        long_text = "word " * 1000  # ~5000 chars
        emb = await get_embedding(long_text)
        test("Long text embedding works", len(emb) == 768)
    except Exception as e:
        test("Long text embedding", False, str(e))

    # Test special characters
    try:
        special_text = "Code: `const x = 'hello';` // comment <script>alert('xss')</script>"
        emb = await get_embedding(special_text)
        test("Special chars embedding works", len(emb) == 768)
    except Exception as e:
        test("Special chars embedding", False, str(e))


async def main():
    print("=" * 50)
    print("  DEV B TEST SUITE - Intelligence Layer")
    print("=" * 50)

    await test_llm()
    await test_vectorstore()
    await test_full_pipeline()
    await test_edge_cases()

    print("\n" + "=" * 50)
    print(f"  RESULTS: {passed} passed, {failed} failed")
    print("=" * 50)

    if failed > 0:
        sys.exit(1)


if __name__ == "__main__":
    asyncio.run(main())