"""Test the LangChain+ client."""
import uuid
from datetime import datetime
from io import BytesIO
from typing import Any, Dict, List, Optional, Union
from unittest import mock

import pytest

from langchain.base_language import BaseLanguageModel
from langchain.callbacks.tracers.langchain import LangChainTracer
from langchain.callbacks.tracers.schemas import TracerSession
from langchain.chains.base import Chain
from langchain.client.langchain import (
    InputFormatError,
    LangChainPlusClient,
    _get_link_stem,
    _is_localhost,
)
from langchain.client.models import Dataset, Example
from tests.unit_tests.llms.fake_chat_model import FakeChatModel
from tests.unit_tests.llms.fake_llm import FakeLLM

_CREATED_AT = datetime(2015, 1, 1, 0, 0, 0)
_TENANT_ID = "7a3d2b56-cd5b-44e5-846f-7eb6e8144ce4"


@pytest.mark.parametrize(
    "api_url, expected_url",
    [
        ("http://localhost:8000", "http://localhost"),
        ("http://www.example.com", "http://www.example.com"),
        (
            "https://hosted-1234-23qwerty.f.234.foobar.gateway.dev",
            "https://hosted-1234-23qwerty.f.234.foobar.gateway.dev",
        ),
        ("https://www.langchain.com/path/to/nowhere", "https://www.langchain.com"),
    ],
)
def test_link_split(api_url: str, expected_url: str) -> None:
    """Test the link splitting handles both localhost and deployed urls."""
    assert _get_link_stem(api_url) == expected_url


def test_is_localhost() -> None:
    assert _is_localhost("http://localhost:8000")
    assert _is_localhost("http://127.0.0.1:8000")
    assert _is_localhost("http://0.0.0.0:8000")
    assert not _is_localhost("http://example.com:8000")


def test_validate_api_key_if_hosted() -> None:
    def mock_get_seeded_tenant_id(api_url: str, api_key: Optional[str]) -> str:
        return _TENANT_ID

    with mock.patch.object(
        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
    ):
        with pytest.raises(ValueError, match="API key must be provided"):
            LangChainPlusClient(api_url="http://www.example.com")

    with mock.patch.object(
        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
    ):
        client = LangChainPlusClient(api_url="http://localhost:8000")
        assert client.api_url == "http://localhost:8000"
        assert client.api_key is None


def test_headers() -> None:
    def mock_get_seeded_tenant_id(api_url: str, api_key: Optional[str]) -> str:
        return _TENANT_ID

    with mock.patch.object(
        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
    ):
        client = LangChainPlusClient(api_url="http://localhost:8000", api_key="123")
        assert client._headers == {"x-api-key": "123"}

    with mock.patch.object(
        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
    ):
        client_no_key = LangChainPlusClient(api_url="http://localhost:8000")
        assert client_no_key._headers == {}


@mock.patch("langchain.client.langchain.requests.post")
def test_upload_csv(mock_post: mock.Mock) -> None:
    mock_response = mock.Mock()
    dataset_id = str(uuid.uuid4())
    example_1 = Example(
        id=str(uuid.uuid4()),
        created_at=_CREATED_AT,
        inputs={"input": "1"},
        outputs={"output": "2"},
        dataset_id=dataset_id,
    )
    example_2 = Example(
        id=str(uuid.uuid4()),
        created_at=_CREATED_AT,
        inputs={"input": "3"},
        outputs={"output": "4"},
        dataset_id=dataset_id,
    )

    mock_response.json.return_value = {
        "id": dataset_id,
        "name": "test.csv",
        "description": "Test dataset",
        "owner_id": "the owner",
        "created_at": _CREATED_AT,
        "examples": [example_1, example_2],
        "tenant_id": _TENANT_ID,
    }
    mock_post.return_value = mock_response

    client = LangChainPlusClient(
        api_url="http://localhost:8000", api_key="123", tenant_id=_TENANT_ID
    )
    csv_file = ("test.csv", BytesIO(b"input,output\n1,2\n3,4\n"))

    dataset = client.upload_csv(
        csv_file, "Test dataset", input_keys=["input"], output_keys=["output"]
    )

    assert dataset.id == uuid.UUID(dataset_id)
    assert dataset.name == "test.csv"
    assert dataset.description == "Test dataset"


@pytest.mark.asyncio
async def test_arun_on_dataset(monkeypatch: pytest.MonkeyPatch) -> None:
    dataset = Dataset(
        id=uuid.uuid4(),
        name="test",
        description="Test dataset",
        owner_id="owner",
        created_at=_CREATED_AT,
        tenant_id=_TENANT_ID,
    )
    uuids = [
        "0c193153-2309-4704-9a47-17aee4fb25c8",
        "0d11b5fd-8e66-4485-b696-4b55155c0c05",
        "90d696f0-f10d-4fd0-b88b-bfee6df08b84",
        "4ce2c6d8-5124-4c0c-8292-db7bdebcf167",
        "7b5a524c-80fa-4960-888e-7d380f9a11ee",
    ]
    examples = [
        Example(
            id=uuids[0],
            created_at=_CREATED_AT,
            inputs={"input": "1"},
            outputs={"output": "2"},
            dataset_id=str(uuid.uuid4()),
        ),
        Example(
            id=uuids[1],
            created_at=_CREATED_AT,
            inputs={"input": "3"},
            outputs={"output": "4"},
            dataset_id=str(uuid.uuid4()),
        ),
        Example(
            id=uuids[2],
            created_at=_CREATED_AT,
            inputs={"input": "5"},
            outputs={"output": "6"},
            dataset_id=str(uuid.uuid4()),
        ),
        Example(
            id=uuids[3],
            created_at=_CREATED_AT,
            inputs={"input": "7"},
            outputs={"output": "8"},
            dataset_id=str(uuid.uuid4()),
        ),
        Example(
            id=uuids[4],
            created_at=_CREATED_AT,
            inputs={"input": "9"},
            outputs={"output": "10"},
            dataset_id=str(uuid.uuid4()),
        ),
    ]

    def mock_read_dataset(*args: Any, **kwargs: Any) -> Dataset:
        return dataset

    def mock_list_examples(*args: Any, **kwargs: Any) -> List[Example]:
        return examples

    async def mock_arun_chain(
        example: Example,
        tracer: Any,
        llm_or_chain: Union[BaseLanguageModel, Chain],
        n_repetitions: int,
    ) -> List[Dict[str, Any]]:
        return [
            {"result": f"Result for example {example.id}"} for _ in range(n_repetitions)
        ]

    def mock_ensure_session(self: Any, *args: Any, **kwargs: Any) -> TracerSession:
        return TracerSession(name="test_session", tenant_id=_TENANT_ID, id=uuid.uuid4())

    with mock.patch.object(
        LangChainPlusClient, "read_dataset", new=mock_read_dataset
    ), mock.patch.object(
        LangChainPlusClient, "list_examples", new=mock_list_examples
    ), mock.patch.object(
        LangChainPlusClient, "_arun_llm_or_chain", new=mock_arun_chain
    ), mock.patch.object(
        LangChainTracer, "ensure_session", new=mock_ensure_session
    ):
        monkeypatch.setenv("LANGCHAIN_TENANT_ID", _TENANT_ID)
        client = LangChainPlusClient(
            api_url="http://localhost:8000", api_key="123", tenant_id=_TENANT_ID
        )
        chain = mock.MagicMock()
        num_repetitions = 3
        results = await client.arun_on_dataset(
            dataset_name="test",
            llm_or_chain_factory=lambda: chain,
            concurrency_level=2,
            session_name="test_session",
            num_repetitions=num_repetitions,
        )

        expected = {
            uuid_: [
                {"result": f"Result for example {uuid.UUID(uuid_)}"}
                for _ in range(num_repetitions)
            ]
            for uuid_ in uuids
        }
        assert results == expected


_EXAMPLE_MESSAGE = {
    "data": {"content": "Foo", "example": False, "additional_kwargs": {}},
    "type": "human",
}
_VALID_MESSAGES = [
    {"messages": [_EXAMPLE_MESSAGE], "other_key": "value"},
    {"messages": [], "other_key": "value"},
    {
        "messages": [[_EXAMPLE_MESSAGE, _EXAMPLE_MESSAGE], [_EXAMPLE_MESSAGE]],
        "other_key": "value",
    },
    {"any_key": [_EXAMPLE_MESSAGE]},
    {"any_key": [[_EXAMPLE_MESSAGE, _EXAMPLE_MESSAGE], [_EXAMPLE_MESSAGE]]},
]
_VALID_PROMPTS = [
    {"prompts": ["foo", "bar", "baz"], "other_key": "value"},
    {"prompt": "foo", "other_key": ["bar", "baz"]},
    {"some_key": "foo"},
    {"some_key": ["foo", "bar"]},
]


@pytest.mark.parametrize(
    "inputs",
    _VALID_MESSAGES,
)
def test__get_messages_valid(inputs: Dict[str, Any]) -> None:
    {"messages": []}
    LangChainPlusClient._get_messages(inputs)


@pytest.mark.parametrize(
    "inputs",
    _VALID_PROMPTS,
)
def test__get_prompts_valid(inputs: Dict[str, Any]) -> None:
    LangChainPlusClient._get_prompts(inputs)


@pytest.mark.parametrize(
    "inputs",
    [
        {"prompts": "foo"},
        {"prompt": ["foo"]},
        {"some_key": 3},
        {"some_key": "foo", "other_key": "bar"},
    ],
)
def test__get_prompts_invalid(inputs: Dict[str, Any]) -> None:
    with pytest.raises(InputFormatError):
        LangChainPlusClient._get_prompts(inputs)


@pytest.mark.parametrize(
    "inputs",
    [
        {"one_key": [_EXAMPLE_MESSAGE], "other_key": "value"},
        {
            "messages": [[_EXAMPLE_MESSAGE, _EXAMPLE_MESSAGE], _EXAMPLE_MESSAGE],
            "other_key": "value",
        },
        {"prompts": "foo"},
        {},
    ],
)
def test__get_messages_invalid(inputs: Dict[str, Any]) -> None:
    with pytest.raises(InputFormatError):
        LangChainPlusClient._get_messages(inputs)


@pytest.mark.parametrize("inputs", _VALID_PROMPTS + _VALID_MESSAGES)
def test_run_llm_all_formats(inputs: Dict[str, Any]) -> None:
    llm = FakeLLM()
    LangChainPlusClient.run_llm(llm, inputs, mock.MagicMock())


@pytest.mark.parametrize("inputs", _VALID_MESSAGES + _VALID_PROMPTS)
def test_run_chat_model_all_formats(inputs: Dict[str, Any]) -> None:
    llm = FakeChatModel()
    LangChainPlusClient.run_llm(llm, inputs, mock.MagicMock())