"""Tests for ServiceClient create_training_client_from_state method."""

from __future__ import annotations

import os

import httpx
import pytest
from respx import MockRouter

import tinker
from tinker import types

base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010")


@pytest.mark.respx(base_url=base_url)
async def test_create_training_client_from_state_async(respx_mock: MockRouter) -> None:
    """Test create_training_client_from_state_async uses public endpoint."""
    tinker_path = "tinker://test-model-123/weights/checkpoint-001"
    weights_info_response = types.WeightsInfoResponse(
        base_model="meta-llama/Llama-3.2-1B", is_lora=True, lora_rank=32
    )

    # Mock the get_weights_info endpoint call
    respx_mock.post("/api/v1/weights_info").mock(
        return_value=httpx.Response(200, json=weights_info_response.model_dump())
    )

    # Mock the create model call
    respx_mock.post("/api/v1/models").mock(
        return_value=httpx.Response(200, json={"model_id": "new-model-id"})
    )

    # Mock the load state call
    respx_mock.post("/api/v1/load_weights").mock(return_value=httpx.Response(200, json={}))

    service_client = tinker.ServiceClient(base_url=base_url)
    training_client = await service_client.create_training_client_from_state_async(tinker_path)

    assert training_client is not None
    assert training_client.model_id == "new-model-id"


@pytest.mark.respx(base_url=base_url)
async def test_create_training_client_from_state_async_with_user_metadata(
    respx_mock: MockRouter,
) -> None:
    """Test create_training_client_from_state_async preserves user metadata."""
    tinker_path = "tinker://test-model-123/weights/checkpoint-001"
    user_metadata = {"key1": "value1", "key2": "value2"}
    weights_info_response = types.WeightsInfoResponse(
        base_model="meta-llama/Llama-3.2-1B", is_lora=True, lora_rank=32
    )

    # Mock the get_weights_info endpoint call
    respx_mock.post("/api/v1/weights_info").mock(
        return_value=httpx.Response(200, json=weights_info_response.model_dump())
    )

    # Mock the create model call
    respx_mock.post("/api/v1/models").mock(
        return_value=httpx.Response(200, json={"model_id": "new-model-id"})
    )

    # Mock the load state call
    respx_mock.post("/api/v1/load_weights").mock(return_value=httpx.Response(200, json={}))

    service_client = tinker.ServiceClient(base_url=base_url)
    training_client = await service_client.create_training_client_from_state_async(
        tinker_path, user_metadata=user_metadata
    )

    assert training_client is not None
    # Verify user_metadata was passed through (we can't directly check it, but the call succeeded)


@pytest.mark.respx(base_url=base_url)
async def test_create_training_client_from_state_async_not_lora(respx_mock: MockRouter) -> None:
    """Test create_training_client_from_state_async raises assertion for non-LoRA model."""
    tinker_path = "tinker://test-model-123/weights/checkpoint-001"

    # Mock WeightsInfo response with is_lora=False
    weights_info_response = types.WeightsInfoResponse(
        base_model="meta-llama/Llama-3.2-1B", is_lora=False, lora_rank=None
    )

    # Mock the get_weights_info endpoint call
    respx_mock.post("/api/v1/weights_info").mock(
        return_value=httpx.Response(200, json=weights_info_response.model_dump())
    )

    service_client = tinker.ServiceClient(base_url=base_url)

    # Should raise AssertionError because is_lora=False or lora_rank=None
    with pytest.raises(AssertionError):
        await service_client.create_training_client_from_state_async(tinker_path)


@pytest.mark.respx(base_url=base_url)
async def test_create_training_client_from_state_async_uses_public_endpoint(
    respx_mock: MockRouter,
) -> None:
    """Test that create_training_client_from_state_async uses get_weights_info_by_tinker_path."""
    tinker_path = "tinker://test-model-123/weights/checkpoint-001"

    # Mock WeightsInfo response
    weights_info_response = types.WeightsInfoResponse(
        base_model="meta-llama/Llama-3.2-1B", is_lora=True, lora_rank=32
    )

    # Mock the get_weights_info endpoint call (public endpoint)
    info_lite_route = respx_mock.post("/api/v1/weights_info").mock(
        return_value=httpx.Response(200, json=weights_info_response.model_dump())
    )

    # Mock the create model call
    respx_mock.post("/api/v1/models").mock(
        return_value=httpx.Response(200, json={"model_id": "new-model-id"})
    )

    # Mock the load state call
    respx_mock.post("/api/v1/load_weights").mock(return_value=httpx.Response(200, json={}))

    service_client = tinker.ServiceClient(base_url=base_url)
    await service_client.create_training_client_from_state_async(tinker_path)

    # Verify it uses the public endpoint (info_lite), not the full training run endpoint
    assert info_lite_route.called


@pytest.mark.respx(base_url=base_url)
def test_create_training_client_from_state_sync(respx_mock: MockRouter) -> None:
    """Test create_training_client_from_state (sync) uses public endpoint."""
    tinker_path = "tinker://test-model-123/weights/checkpoint-001"
    weights_info_response = types.WeightsInfoResponse(
        base_model="meta-llama/Llama-3.2-1B", is_lora=True, lora_rank=32
    )

    # Mock the get_weights_info endpoint call
    respx_mock.post("/api/v1/weights_info").mock(
        return_value=httpx.Response(200, json=weights_info_response.model_dump())
    )

    # Mock the create model call
    respx_mock.post("/api/v1/models").mock(
        return_value=httpx.Response(200, json={"model_id": "new-model-id"})
    )

    # Mock the load state call
    respx_mock.post("/api/v1/load_weights").mock(return_value=httpx.Response(200, json={}))

    service_client = tinker.ServiceClient(base_url=base_url)
    training_client = service_client.create_training_client_from_state(tinker_path)

    assert training_client is not None
    assert training_client.model_id == "new-model-id"


@pytest.mark.respx(base_url=base_url)
def test_create_training_client_from_state_sync_uses_public_endpoint(
    respx_mock: MockRouter,
) -> None:
    """Test that create_training_client_from_state (sync) uses get_weights_info_by_tinker_path."""
    tinker_path = "tinker://test-model-123/weights/checkpoint-001"

    # Mock WeightsInfo response
    weights_info_response = types.WeightsInfoResponse(
        base_model="meta-llama/Llama-3.2-1B", is_lora=True, lora_rank=32
    )

    # Mock the get_weights_info endpoint call (public endpoint)
    info_lite_route = respx_mock.post("/api/v1/weights_info").mock(
        return_value=httpx.Response(200, json=weights_info_response.model_dump())
    )

    # Mock the create model call
    respx_mock.post("/api/v1/models").mock(
        return_value=httpx.Response(200, json={"model_id": "new-model-id"})
    )

    # Mock the load state call
    respx_mock.post("/api/v1/load_weights").mock(return_value=httpx.Response(200, json={}))

    service_client = tinker.ServiceClient(base_url=base_url)
    service_client.create_training_client_from_state(tinker_path)

    # Verify it uses the public endpoint (info_lite), not the full training run endpoint
    assert info_lite_route.called