import asyncio
import os
import pytest
from unittest.mock import AsyncMock, MagicMock
from agents.base_agent import AgentContext

# Keep tests hermetic: text detectors ship disabled unless a test opts in.
# Env vars override the dev .env file, so pin them OFF explicitly.
for _k, _v in {
    "TEXTDET_ENABLE_FASTDETECTGPT": "false",
    "TEXTDET_ENABLE_BINOCULARS": "false",
    "TEXTDET_ENABLE_WATERMARK": "false",
    "TEXTDET_ENABLE_PROVENANCE": "false",
}.items():
    os.environ[_k] = _v


@pytest.fixture(scope="session")
def event_loop():
    loop = asyncio.new_event_loop()
    yield loop
    loop.close()


@pytest.fixture
def mock_neo4j():
    neo4j = MagicMock()
    neo4j.run.return_value = []
    neo4j.run_write.return_value = []
    return neo4j


@pytest.fixture
def mock_mongo():
    mongo = MagicMock()
    mongo.upsert_job = AsyncMock()
    mongo.get_job = AsyncMock(return_value={"job_id": "test_job", "status": "running"})
    mongo.save_result = AsyncMock()
    return mongo


@pytest.fixture
def mock_llm():
    llm = MagicMock()
    llm.complete = AsyncMock(return_value="Test summary response.")
    llm.complete_json = AsyncMock(return_value={"overall_score": 7.0})
    llm.complete_list = AsyncMock(
        return_value=[
            {
                "text": "Test claim",
                "type": "significant",
                "confidence": 0.7,
                "novelty": 0.8,
            }
        ]
    )
    return llm


@pytest.fixture
def mock_embedder():
    embedder = MagicMock()
    embedder.embed.return_value = [0.1] * 768
    embedder.embed_batch.return_value = [[0.1] * 768]
    return embedder


@pytest.fixture
def mock_graph_memory(mock_neo4j, mock_embedder):
    from memory.graph_memory import GraphMemory

    gm = GraphMemory(neo4j=mock_neo4j, embedder=mock_embedder)
    return gm


@pytest.fixture
def agent_ctx(
    mock_neo4j, mock_mongo, mock_llm, mock_embedder, mock_graph_memory, tmp_path
):
    # Create a minimal PDF-like file for testing
    pdf_file = tmp_path / "test.pdf"
    pdf_file.write_bytes(b"%PDF-1.4 test")
    return AgentContext(
        job_id="test_job",
        doc_id="test_doc",
        pdf_path=str(pdf_file),
        neo4j=mock_neo4j,
        mongo=mock_mongo,
        llm=mock_llm,
        embedder=mock_embedder,
        graph_memory=mock_graph_memory,
    )