import os
import sys

# Ensure project root and src are on sys.path for tests
PROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
SRC_PATH = os.path.join(PROJECT_ROOT, "src")

if PROJECT_ROOT not in sys.path:
    sys.path.insert(0, PROJECT_ROOT)

if SRC_PATH not in sys.path:
    sys.path.insert(0, SRC_PATH)

# Set environment variables to disable ChromaDB telemetry
os.environ["ANONYMIZED_TELEMETRY"] = "False"
os.environ["CHROMA_TELEMETRY"] = "False"
# Mark that pytest is running so startup routines can skip external HF/network calls
os.environ["PYTEST_RUNNING"] = "1"

# Ensure CI/local test runs don't accidentally use real HF creds from developer environment
for _var in ("HF_TOKEN", "OPENROUTER_API_KEY", "GROQ_API_KEY", "ENABLE_HF_SERVICES", "HF_DATASET_NAME"):
    os.environ.pop(_var, None)

from typing import List, Optional  # noqa: E402
from unittest.mock import MagicMock, patch  # noqa: E402

import pytest  # noqa: E402


@pytest.fixture(scope="session", autouse=True)
def disable_chromadb_telemetry():
    """Disable ChromaDB telemetry to avoid errors in tests"""
    patches = []
    try:
        # Patch multiple telemetry-related functions
        patches.extend(
            [
                patch(
                    "chromadb.telemetry.product.posthog.capture",
                    return_value=None,
                ),
                patch(
                    "chromadb.telemetry.product.posthog.Posthog.capture",
                    return_value=None,
                ),
                patch(
                    "chromadb.telemetry.product.posthog.Posthog",
                    return_value=MagicMock(),
                ),
                patch("chromadb.configure", return_value=None),
            ]
        )
        for p in patches:
            p.start()
        yield
    except (ImportError, AttributeError):
        # If modules don't exist, continue without patching
        yield
    finally:
        for p in patches:
            try:
                p.stop()
            except Exception:
                pass


@pytest.fixture
def app():
    """Flask application fixture."""
    # Import the Flask app lazily here so autouse fixtures (e.g. mock_embedding_service)
    # can apply their patches before the application and its modules are imported.
    from app import app as flask_app  # noqa: E402

    # Clear any cached services before each test to prevent state contamination
    flask_app.config["RAG_PIPELINE"] = None
    flask_app.config["INGESTION_PIPELINE"] = None
    flask_app.config["SEARCH_SERVICE"] = None

    # Also clear any module-level caches that might exist
    import sys

    modules_to_clear = [
        "src.rag.rag_pipeline",
        "src.llm.llm_service",
        "src.search.search_service",
        "src.embedding.embedding_service",
        "src.vector_store.vector_db",
    ]
    for module_name in modules_to_clear:
        if module_name in sys.modules:
            # Clear any cached instances on the module
            module = sys.modules[module_name]
            for attr_name in dir(module):
                attr = getattr(module, attr_name)
                if hasattr(attr, "__dict__") and not attr_name.startswith("_"):
                    # Clear instance dictionaries that might contain cached data
                    if hasattr(attr, "_instances"):
                        attr._instances = {}

    yield flask_app


@pytest.fixture
def client(app):
    """Flask test client fixture."""
    return app.test_client()


@pytest.fixture(autouse=True)
def reset_mock_state():
    """Fixture to reset any global mock state between tests."""
    yield
    # Clean up any lingering mock state after each test
    import unittest.mock

    # Clear any patches that might have been left hanging
    unittest.mock.patch.stopall()


class FakeEmbeddingService:
    """A mock embedding service that returns dummy data without loading a real model.

    Compatible with both legacy EmbeddingService and new HFEmbeddingService interfaces.
    """

    def __init__(
        self,
        model_name: Optional[str] = None,
        device: Optional[str] = None,
        batch_size: Optional[int] = None,
    ):
        """Initializes the fake service.

        Ignores parameters and provides sensible defaults.
        """
        self.model_name = model_name or "intfloat/multilingual-e5-large"
        self.device = device or "cpu"
        self.batch_size = batch_size or 32
        self.dim = 1024  # HF multilingual-e5-large dimension
        self.hf_token = "fake_token"  # For HF service compatibility
        self.api_url = f"https://router.huggingface.co/hf-inference/models/{self.model_name}"
        self.headers = {"Authorization": "Bearer fake_token"}

    # Legacy EmbeddingService interface
    def embed_text(self, text: str):
        """Returns a dummy embedding for a single text."""
        return [0.1] * self.dim

    def embed_texts(self, texts: List[str]):
        """Returns a list of dummy embeddings for multiple texts."""
        return [[0.1] * self.dim for _ in texts]

    # HF EmbeddingService interface
    def get_embeddings(self, texts: List[str]):
        """Returns a list of dummy embeddings for multiple texts (HF interface)."""
        return [[0.1] * self.dim for _ in texts]

    def get_embedding(self, text: str):
        """Returns a dummy embedding for a single text (HF interface)."""
        return [0.1] * self.dim

    # Common interface methods
    def get_embedding_dimension(self):
        """Returns the fixed dimension of the dummy embeddings."""
        return self.dim

    def health_check(self):
        """Returns True for health checks."""
        return True


@pytest.fixture(autouse=True)
def mock_embedding_service(monkeypatch):
    """
    Automatically replace the real HF services with fake ones for testing.
    This fixture works with the hybrid architecture using HF services.
    """
    # Mock HF Embedding Service (new hybrid architecture)
    try:
        monkeypatch.setattr(
            "src.embedding.hf_embedding_service.HFEmbeddingService",
            FakeEmbeddingService,
        )
    except (ImportError, AttributeError):
        pass  # HF service may not exist in all test contexts

    # Mock legacy embedding service if it exists
    try:
        monkeypatch.setattr(
            "src.embedding.embedding_service.EmbeddingService",
            FakeEmbeddingService,
        )
    except (ImportError, AttributeError):
        pass  # Legacy service may not exist in hybrid architecture

    # Mock in ingestion pipeline (only if the import exists)
    try:
        import src.ingestion.ingestion_pipeline

        if hasattr(src.ingestion.ingestion_pipeline, "EmbeddingService"):
            monkeypatch.setattr(
                "src.ingestion.ingestion_pipeline.EmbeddingService",
                FakeEmbeddingService,
            )
    except (ImportError, AttributeError):
        pass