import json
import uuid
from collections.abc import Iterator, Mapping
from pathlib import Path
from typing import Final

import httpx
import openai
import pytest
import yaml
from botocore.exceptions import ConnectionClosedError
from integration._support.client import Gateway, eventually, gateway_from_environment
from integration._support.database import read_rows
from integration._support.process import owned_proxy
from integration._support.sagemaker_embedding import (
    ACCESS_KEY,
    COMPONENT,
    COMPONENT_HEADER,
    EXPECTED_SHAPE,
    IC_NOT_ALLOWED,
    IC_REQUIRED,
    JSON_OBJECT,
    NON_STRING_MODEL_ID,
    NOT_JSON_BODY,
    PASS_IN_HINT,
    REMOVE_HINT,
    SERVED_MODEL,
    deployment,
    embedding_value,
    endpoint,
    invocations_target,
    openai_deployment,
    openai_route,
    plain_route,
    respond,
)
from integration._support.wire import Request, Wire, wire_server
from pydantic import JsonValue

pytestmark = pytest.mark.timeout(240)

_NO_CACHE: Final[dict[str, JsonValue]] = {"no-cache": True}
_SPEND_ROW: Final = 'SELECT status, call_type, model_group FROM "LiteLLM_SpendLogs" WHERE litellm_call_id=%s'


def _model_list(health_endpoint: str) -> list[JsonValue]:
    return [
        openai_deployment("sm-openai", "openai"),
        deployment(
            "sm-openai-explicit",
            f"openai/{endpoint('openai')}",
            custom_llm_provider="sagemaker",
            model_id=COMPONENT,
            extra_body={"model": SERVED_MODEL},
        ),
        deployment("sm-openai-bare", openai_route("openai")),
        deployment("sm-openai-no-model-id", openai_route("openai"), extra_body={"model": SERVED_MODEL}),
        openai_deployment("sm-openai-custom-key", "openai", input_type="query"),
        deployment(
            "sm-openai-pinned",
            openai_route("openai"),
            model_id=COMPONENT,
            extra_body={"model": SERVED_MODEL, "encoding_format": "float"},
        ),
        openai_deployment("sm-openai-model-id-int", "openai", model_id=7),
        openai_deployment("sm-openai-model-id-list", "openai", model_id=[COMPONENT]),
        openai_deployment("sm-openai-model-id-empty", "openai", model_id=""),
        openai_deployment("sm-openai-model-id-null", "openai", model_id=None),
        openai_deployment("sm-openai-model-id-long", "openai", model_id="c" * 5120),
        openai_deployment("sm-openai-extra-body-string", "openai", extra_body="not-an-object"),
        openai_deployment("sm-openai-extra-body-empty", "openai", extra_body={}),
        openai_deployment("sm-openai-nousage", "nousage"),
        openai_deployment("sm-openai-nomodel", "nomodel"),
        openai_deployment("sm-openai-noindex", "noindex"),
        openai_deployment("sm-openai-promptonly", "promptonly"),
        openai_deployment("sm-openai-datadict", "datadict"),
        openai_deployment("sm-openai-hfshape", "hfshape"),
        openai_deployment("sm-openai-notjson", "notjson"),
        openai_deployment("sm-openai-err400", "err400"),
        openai_deployment("sm-openai-err424", "err424"),
        openai_deployment("sm-openai-err429", "err429"),
        openai_deployment("sm-openai-err503", "err503"),
        openai_deployment("sm-openai-err500", "err500"),
        openai_deployment("sm-openai-drop", "drop"),
        deployment("sm-openai-unknown", "sagemaker/openai/unknown-embed-endpoint", model_id=COMPONENT),
        openai_deployment("sm-openai-ic", "icrequired"),
        deployment("sm-openai-ic-missing", openai_route("icrequired"), extra_body={"model": SERVED_MODEL}),
        deployment("sm-plain-noic", plain_route("noic"), model_id=COMPONENT),
        deployment("sm-plain-noic-control", plain_route("noic")),
        deployment(
            "sm-openai-health",
            f"sagemaker/openai/{health_endpoint}",
            model_id=COMPONENT,
            extra_body={"model": SERVED_MODEL},
            model_info={"mode": "embedding"},
        ),
        deployment("sm-plain", plain_route("hf"), model_id=COMPONENT),
        deployment("sm-plain-control", plain_route("hf")),
        deployment("sm-plain-drop-params", plain_route("hf"), model_id=COMPONENT, drop_params=True),
        deployment("sm-plain-dict", plain_route("hfdict"), model_id=COMPONENT),
        deployment("sm-plain-err424", plain_route("err424"), model_id=COMPONENT),
        deployment("sm-voyage", plain_route("voyage"), model_id=COMPONENT),
        deployment("sm-cohere", plain_route("cohere"), model_id=COMPONENT),
    ]


def _config(directory: Path, health_endpoint: str) -> Path:
    config: Final = yaml.safe_load(Path("tests/integration/proxy_config.yaml").read_text())
    config["model_list"] = _model_list(health_endpoint)
    path: Final = directory / "sagemaker-embedding.yaml"
    path.write_text(yaml.safe_dump(config))
    return path


@pytest.fixture(scope="module")
def rig() -> Iterator[Gateway]:
    with gateway_from_environment() as gateway:
        yield gateway


@pytest.fixture(scope="module")
def wire() -> Iterator[Wire]:
    with wire_server(respond) as served:
        yield served


@pytest.fixture(autouse=True)
def _drained_wire(wire: Wire) -> None:
    wire.drain()


@pytest.fixture(scope="module")
def health_endpoint() -> str:
    return endpoint(f"openai-health-{uuid.uuid4().hex[:8]}")


@pytest.fixture(scope="module")
def proxy(
    rig: Gateway, wire: Wire, health_endpoint: str, tmp_path_factory: pytest.TempPathFactory
) -> Iterator[Gateway]:
    directory: Final = tmp_path_factory.mktemp("sagemaker-embedding")
    overrides: Final = {"AWS_ENDPOINT_URL_SAGEMAKER_RUNTIME": wire.url, "AWS_MAX_ATTEMPTS": "2"}
    with owned_proxy(rig, directory, overrides, config=_config(directory, health_endpoint), workers=2) as owned:
        yield owned


def _text() -> str:
    return f"integration embedding {uuid.uuid4().hex}"


def _embed(proxy: Gateway, model: str, text: JsonValue, **fields: JsonValue) -> httpx.Response:
    return proxy.request("POST", "/v1/embeddings", {"model": model, "input": text, "cache": _NO_CACHE, **fields})


def _spend_row(response: httpx.Response) -> dict[str, JsonValue]:
    call_id: Final = response.headers["x-litellm-call-id"]
    rows: Final = eventually(lambda: read_rows(_SPEND_ROW, (call_id,)), lambda found: len(found) == 1, seconds=70)
    return rows[0]


def _usage(payload: Mapping[str, JsonValue]) -> tuple[JsonValue, ...]:
    usage: Final = payload["usage"]
    assert isinstance(usage, dict), payload
    return tuple(usage[key] for key in ("prompt_tokens", "completion_tokens", "total_tokens"))


def _only_request(wire: Wire) -> Request:
    received: Final = wire.drain()
    assert len(received) == 1, [(request.method, request.target) for request in received]
    return received[0]


def _body(request: Request) -> dict[str, JsonValue]:
    return JSON_OBJECT.validate_json(request.body)


def _forwarded_body(sent: httpx.Request, text: str) -> dict[str, JsonValue]:
    asked: Final = JSON_OBJECT.validate_json(sent.content)
    encoding: Final = {"encoding_format": asked["encoding_format"]} if "encoding_format" in asked else {}
    return {"input": [text], **encoding, "model": SERVED_MODEL}


def _signed_headers(request: Request) -> tuple[str, ...]:
    authorization: Final = request.headers["authorization"]
    assert authorization.startswith(f"AWS4-HMAC-SHA256 Credential={ACCESS_KEY}/"), authorization
    signed: Final = next(part for part in authorization.split(", ") if part.startswith("SignedHeaders="))
    return tuple(signed.removeprefix("SignedHeaders=").split(";"))


def _sdk_base_url(proxy: Gateway) -> str:
    return f"{str(proxy.client.base_url).rstrip('/')}/v1"


def _sdk(proxy: Gateway) -> openai.OpenAI:
    return openai.OpenAI(base_url=_sdk_base_url(proxy), api_key=proxy.key, max_retries=0, timeout=60)


def _async_sdk(proxy: Gateway) -> openai.AsyncOpenAI:
    return openai.AsyncOpenAI(base_url=_sdk_base_url(proxy), api_key=proxy.key, max_retries=0, timeout=60)


def test_openai_route_signs_model_id_as_the_inference_component_header_and_sends_the_openai_body(
    proxy: Gateway, wire: Wire
) -> None:
    texts: Final = [_text(), _text()]
    response: Final = _embed(proxy, "sm-openai", texts)
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [
        {"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]},
        {"object": "embedding", "index": 1, "embedding": [0.25, -0.5, 2.0]},
    ], response.text
    assert payload["model"] == "sm-openai", response.text
    assert _usage(payload) == (7, 0, 7), response.text
    request: Final = _only_request(wire)
    assert (request.method, request.target) == ("POST", invocations_target(endpoint("openai"))), request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert request.headers["x-amzn-sagemaker-custom-attributes"] == "accept_eula=true", dict(request.headers)
    assert request.headers["content-type"] == "application/json", dict(request.headers)
    assert COMPONENT_HEADER in _signed_headers(request), request.headers["authorization"]
    assert _body(request) == {"input": texts, "model": SERVED_MODEL}, request.body
    row: Final = _spend_row(response)
    assert row == {"status": "success", "call_type": "aembedding", "model_group": "sm-openai"}, row


@pytest.mark.parametrize(
    ("path", "model_in_body"),
    [
        ("/v1/embeddings", True),
        ("/embeddings", True),
        ("/openai/deployments/sm-openai/embeddings", False),
        ("/engines/sm-openai/embeddings", False),
    ],
)
def test_every_embeddings_alias_reaches_the_inference_component(
    proxy: Gateway, wire: Wire, path: str, model_in_body: bool
) -> None:
    text: Final = _text()
    body: Final[dict[str, JsonValue]] = {
        "input": text,
        "cache": _NO_CACHE,
        **({"model": "sm-openai"} if model_in_body else {}),
    }
    response: Final = proxy.request("POST", path, body)
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]}], response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": text, "model": SERVED_MODEL}, request.body
    assert _spend_row(response)["status"] == "success"


def test_openai_sdk_sync_client_reads_the_vectors_in_the_encoding_it_asked_for(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    raw: Final = _sdk(proxy).embeddings.with_raw_response.create(
        model="sm-openai", input=[text], extra_body={"cache": _NO_CACHE}
    )
    created: Final = raw.parse()
    assert [row.embedding for row in created.data] == [[0.25, -0.5, 1.0]], created
    assert created.model == "sm-openai", created
    assert (created.usage.prompt_tokens, created.usage.total_tokens) == (7, 7), created
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == _forwarded_body(raw.http_request, text), request.body
    call_id: Final = raw.headers["x-litellm-call-id"]
    rows: Final = eventually(lambda: read_rows(_SPEND_ROW, (call_id,)), lambda found: len(found) == 1, seconds=70)
    assert rows[0]["status"] == "success", rows


async def test_openai_sdk_async_client_reads_the_vectors_in_the_encoding_it_asked_for(
    proxy: Gateway, wire: Wire
) -> None:
    text: Final = _text()
    raw: Final = await _async_sdk(proxy).embeddings.with_raw_response.create(
        model="sm-openai", input=[text], extra_body={"cache": _NO_CACHE}
    )
    created: Final = raw.parse()
    assert [row.embedding for row in created.data] == [[0.25, -0.5, 1.0]], created
    assert created.model == "sm-openai", created
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == _forwarded_body(raw.http_request, text), request.body
    call_id: Final = raw.headers["x-litellm-call-id"]
    rows: Final = eventually(lambda: read_rows(_SPEND_ROW, (call_id,)), lambda found: len(found) == 1, seconds=70)
    assert rows[0]["status"] == "success", rows


def test_explicit_custom_llm_provider_spelling_takes_the_openai_route(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-explicit", [text])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["model"] == "sm-openai-explicit", response.text
    request: Final = _only_request(wire)
    assert request.target == f"/endpoints/{endpoint('openai')}/invocations", request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body
    assert _spend_row(response)["status"] == "success"


def test_plain_route_signs_model_id_as_the_header_and_keeps_the_hf_body(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-plain", [text])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]}], response.text
    assert payload["model"] == "sm-plain", response.text
    assert _usage(payload) == (3, 0, 3), response.text
    request: Final = _only_request(wire)
    assert request.target == f"/endpoints/{endpoint('hf')}/invocations", request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert COMPONENT_HEADER in _signed_headers(request), request.headers["authorization"]
    assert _body(request) == {"inputs": [text]}, request.body
    assert _spend_row(response)["status"] == "success"


def test_plain_route_without_model_id_sends_no_inference_component_header(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-plain-control", [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert COMPONENT_HEADER not in request.headers, dict(request.headers)
    assert COMPONENT_HEADER not in _signed_headers(request), request.headers["authorization"]
    assert _body(request) == {"inputs": [text]}, request.body
    assert _spend_row(response)["status"] == "success"


def test_plain_route_reads_the_wrapped_hf_embedding_key(proxy: Gateway, wire: Wire) -> None:
    texts: Final = [_text(), _text()]
    response: Final = _embed(proxy, "sm-plain-dict", texts)
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [
        {"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]},
        {"object": "embedding", "index": 1, "embedding": [0.25, -0.5, 2.0]},
    ], response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"inputs": texts}, request.body


def test_voyage_endpoint_keeps_the_voyage_body_and_signs_model_id_as_the_header(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-voyage", [text])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]}], response.text
    assert payload["model"] == "sm-voyage", response.text
    assert _usage(payload) == (9, 0, 9), response.text
    request: Final = _only_request(wire)
    assert request.target == f"/endpoints/{endpoint('voyage')}/invocations", request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text], "model": endpoint("voyage")}, request.body
    assert _spend_row(response)["status"] == "success"


def test_cohere_endpoint_keeps_the_cohere_body_and_signs_model_id_as_the_header(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-cohere", [text])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]}], response.text
    assert _usage(payload) == (6, 0, 6), response.text
    request: Final = _only_request(wire)
    assert request.target == f"/endpoints/{endpoint('cohere')}/invocations", request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"texts": [text], "input_type": "search_document"}, request.body
    assert _spend_row(response)["status"] == "success"


def test_openai_route_forwards_dimensions_encoding_format_and_user_in_the_body(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(
        proxy, "sm-openai", [text], dimensions=3, encoding_format="float", user="integration-embedding-user"
    )
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]}], response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {
        "input": [text],
        "dimensions": 3,
        "encoding_format": "float",
        "user": "integration-embedding-user",
        "model": SERVED_MODEL,
    }, request.body


def test_openai_route_without_model_id_or_extra_body_sends_the_bare_openai_body(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-bare", [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert COMPONENT_HEADER not in request.headers, dict(request.headers)
    assert _body(request) == {"input": [text]}, request.body


def test_openai_route_sends_a_custom_deployment_key_at_the_top_level_of_the_body(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-custom-key", [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text], "input_type": "query", "model": SERVED_MODEL}, request.body


def test_deployment_extra_body_wins_over_the_callers_encoding_format(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    created: Final = _sdk(proxy).embeddings.create(
        model="sm-openai-pinned", input=[text], extra_body={"cache": _NO_CACHE}
    )
    assert [row.embedding for row in created.data] == [[0.25, -0.5, 1.0]], created
    request: Final = _only_request(wire)
    assert _body(request) == {"input": [text], "encoding_format": "float", "model": SERVED_MODEL}, request.body


def test_openai_route_returns_the_base64_string_a_raw_caller_asked_for_unchanged(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai", [text], encoding_format="base64")
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": embedding_value(0, "base64")}], (
        response.text
    )
    request: Final = _only_request(wire)
    assert _body(request) == {"input": [text], "encoding_format": "base64", "model": SERVED_MODEL}, request.body


def test_openai_route_reports_zero_usage_when_the_container_sends_none(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-nousage", [_text()])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert _usage(payload) == (0, 0, 0), response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT
    assert _spend_row(response)["status"] == "success"


def test_openai_route_names_the_endpoint_when_the_container_sends_no_model(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-nomodel", [_text()])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["model"] == "sm-openai-nomodel", response.text
    assert _usage(payload) == (7, 0, 7), response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT


def test_openai_route_numbers_rows_the_container_left_unindexed(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-noindex", [_text(), _text()])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [
        {"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]},
        {"object": "embedding", "index": 1, "embedding": [0.25, -0.5, 2.0]},
    ], response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT


def test_openai_route_takes_total_tokens_from_prompt_tokens_when_the_container_omits_it(
    proxy: Gateway, wire: Wire
) -> None:
    response: Final = _embed(proxy, "sm-openai-promptonly", [_text()])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert _usage(payload) == (5, 0, 5), response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT


@pytest.mark.parametrize("model", ["sm-openai-datadict", "sm-openai-hfshape"])
def test_openai_route_rejects_a_container_body_that_is_not_an_openai_embeddings_object(
    proxy: Gateway, wire: Wire, model: str
) -> None:
    response: Final = _embed(proxy, model, [_text()])
    assert response.status_code == 503, response.text
    assert EXPECTED_SHAPE in response.text, response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT
    assert _spend_row(response)["status"] == "failure"


def test_openai_route_reports_a_non_json_container_body_as_a_server_error(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-notjson", [_text()])
    with pytest.raises(json.JSONDecodeError) as decode_error:
        json.loads(NOT_JSON_BODY)
    assert response.status_code == 500, response.text
    assert str(decode_error.value) in response.text, response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT
    assert _spend_row(response)["status"] == "failure"


def test_container_validation_error_reaches_the_caller_as_400(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-err400", [_text()])
    assert response.status_code == 400, response.text
    assert "1 validation error detected" in response.text, response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT
    assert _spend_row(response)["status"] == "failure"


def test_container_model_error_reaches_the_caller_with_the_original_message(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-err424", [_text()])
    assert response.status_code == 424, response.text
    assert "unexpected field inputs" in response.text, response.text
    assert _only_request(wire).headers[COMPONENT_HEADER] == COMPONENT
    assert _spend_row(response)["status"] == "failure"


def test_plain_route_body_rejected_by_an_openai_container_reaches_the_caller(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-plain-err424", [text])
    assert response.status_code == 424, response.text
    assert "unexpected field inputs" in response.text, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"inputs": [text]}, request.body
    assert _spend_row(response)["status"] == "failure"


@pytest.mark.parametrize(
    ("model", "status", "message"),
    [
        ("sm-openai-err429", 429, "Model is not ready for inference yet"),
        ("sm-openai-err503", 503, "The endpoint is scaling, try again later"),
        ("sm-openai-err500", 503, "An internal failure occurred"),
    ],
)
def test_container_outage_errors_reach_the_caller_and_every_attempt_carries_the_header(
    proxy: Gateway, wire: Wire, model: str, status: int, message: str
) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, model, [text])
    assert response.status_code == status, response.text
    assert message in response.text, response.text
    attempts: Final = wire.drain()
    assert len(attempts) >= 1, attempts
    assert {attempt.headers[COMPONENT_HEADER] for attempt in attempts} == {COMPONENT}, attempts
    assert {attempt.body for attempt in attempts} == {json.dumps({"input": [text], "model": SERVED_MODEL}).encode()}
    assert _spend_row(response)["status"] == "failure"


def test_dropped_connection_reaches_the_caller_as_a_server_error(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-drop", [_text()])
    assert response.status_code == 503, response.text
    assert ConnectionClosedError.fmt.partition(":")[0] in response.text, response.text
    attempts: Final = wire.drain()
    assert len(attempts) >= 1, attempts
    assert {attempt.headers[COMPONENT_HEADER] for attempt in attempts} == {COMPONENT}, attempts
    assert _spend_row(response)["status"] == "failure"


def test_inference_component_endpoint_answers_once_the_header_unlocks_it(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-ic", [text])
    assert response.status_code == 200, response.text
    payload: Final = JSON_OBJECT.validate_json(response.content)
    assert payload["data"] == [{"object": "embedding", "index": 0, "embedding": [0.25, -0.5, 1.0]}], response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body
    assert _spend_row(response)["status"] == "success"


def test_inference_component_endpoint_without_model_id_tells_the_caller_how_to_pass_it(
    proxy: Gateway, wire: Wire
) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-ic-missing", [text])
    assert response.status_code == 400, response.text
    assert IC_REQUIRED in response.text, response.text
    assert PASS_IN_HINT in response.text, response.text
    request: Final = _only_request(wire)
    assert COMPONENT_HEADER not in request.headers, dict(request.headers)
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body
    assert _spend_row(response)["status"] == "failure"


def test_endpoint_without_inference_components_tells_the_deployment_to_drop_model_id(
    proxy: Gateway, wire: Wire
) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-plain-noic", [text])
    assert response.status_code == 400, response.text
    assert IC_NOT_ALLOWED in response.text, response.text
    assert REMOVE_HINT in response.text, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"inputs": [text]}, request.body
    assert _spend_row(response)["status"] == "failure"


def test_endpoint_without_inference_components_serves_a_deployment_without_model_id(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-plain-noic-control", [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert COMPONENT_HEADER not in request.headers, dict(request.headers)
    assert _body(request) == {"inputs": [text]}, request.body
    assert _spend_row(response)["status"] == "success"


def test_unknown_endpoint_reaches_the_caller_as_400(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-openai-unknown", [_text()])
    assert response.status_code == 400, response.text
    assert "Endpoint unknown-embed-endpoint of account 000000000000 not found." in response.text, response.text
    request: Final = _only_request(wire)
    assert request.target == "/endpoints/unknown-embed-endpoint/invocations", request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _spend_row(response)["status"] == "failure"


def test_plain_route_rejects_an_unsupported_openai_param_without_drop_params(proxy: Gateway, wire: Wire) -> None:
    response: Final = _embed(proxy, "sm-plain", [_text()], dimensions=3)
    assert response.status_code == 400, response.text
    assert "does not support parameters: {'dimensions': 3}" in response.text, response.text
    assert "drop_params" in response.text, response.text
    assert wire.drain() == (), response.text
    assert _spend_row(response)["status"] == "failure"


def test_plain_route_drops_an_unsupported_openai_param_under_drop_params(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-plain-drop-params", [text], dimensions=3)
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"inputs": [text]}, request.body


@pytest.mark.parametrize("model", ["sm-openai-model-id-int", "sm-openai-model-id-list"])
def test_a_non_string_model_id_fails_before_any_request_leaves_the_proxy(
    proxy: Gateway, wire: Wire, model: str
) -> None:
    response: Final = _embed(proxy, model, [_text()])
    assert response.status_code == 400, response.text
    assert NON_STRING_MODEL_ID in response.text, response.text
    assert wire.drain() == (), response.text
    assert _spend_row(response)["status"] == "failure"


@pytest.mark.parametrize("model", ["sm-openai-model-id-empty", "sm-openai-model-id-null"])
def test_an_empty_or_null_model_id_sends_no_inference_component_header(proxy: Gateway, wire: Wire, model: str) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, model, [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert COMPONENT_HEADER not in request.headers, dict(request.headers)
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body


def test_a_long_model_id_is_signed_and_forwarded_whole(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-model-id-long", [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == "c" * 5120, len(request.headers[COMPONENT_HEADER])
    assert COMPONENT_HEADER in _signed_headers(request), request.headers["authorization"]
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body


@pytest.mark.parametrize("model", ["sm-openai-extra-body-string", "sm-openai-extra-body-empty"])
def test_an_extra_body_that_is_not_a_populated_object_adds_nothing_to_the_body(
    proxy: Gateway, wire: Wire, model: str
) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, model, [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text]}, request.body


def test_a_caller_sent_model_id_overrides_the_deployments_inference_component(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai", [text], model_id="caller-chosen-component")
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == "caller-chosen-component", dict(request.headers)
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body


def test_a_caller_sent_model_id_is_forwarded_when_the_deployment_has_none(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai-bare", [text], model_id="caller-chosen-component")
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == "caller-chosen-component", dict(request.headers)
    assert _body(request) == {"input": [text]}, request.body


def test_a_caller_sent_non_string_model_id_fails_before_any_request_leaves_the_proxy(
    proxy: Gateway, wire: Wire
) -> None:
    response: Final = _embed(proxy, "sm-openai-bare", [_text()], model_id=["caller-chosen-component"])
    assert response.status_code == 400, response.text
    assert NON_STRING_MODEL_ID in response.text, response.text
    assert wire.drain() == (), response.text


def test_a_caller_sent_extra_body_replaces_the_deployments_extra_body(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai", [text], extra_body={"truncate": "END"})
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text], "truncate": "END"}, request.body


def test_a_failed_call_does_not_poison_the_next_one(proxy: Gateway, wire: Wire) -> None:
    failed: Final = _embed(proxy, "sm-openai-err503", [_text()])
    assert failed.status_code == 503, failed.text
    wire.drain()
    text: Final = _text()
    response: Final = _embed(proxy, "sm-openai", [text])
    assert response.status_code == 200, response.text
    request: Final = _only_request(wire)
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    assert _body(request) == {"input": [text], "model": SERVED_MODEL}, request.body
    assert _spend_row(response)["status"] == "success"


def test_two_identical_uncached_requests_each_reach_the_container_and_log_once(proxy: Gateway, wire: Wire) -> None:
    text: Final = _text()
    first: Final = _embed(proxy, "sm-openai", [text])
    second: Final = _embed(proxy, "sm-openai", [text])
    assert (first.status_code, second.status_code) == (200, 200), (first.text, second.text)
    assert first.headers["x-litellm-call-id"] != second.headers["x-litellm-call-id"], (first.headers, second.headers)
    requests: Final = wire.drain()
    assert [_body(request) for request in requests] == [{"input": [text], "model": SERVED_MODEL}] * 2, requests
    assert {request.headers[COMPONENT_HEADER] for request in requests} == {COMPONENT}, requests
    assert (_spend_row(first)["status"], _spend_row(second)["status"]) == ("success", "success")


def test_health_check_reaches_the_container_with_the_inference_component_header(
    proxy: Gateway, wire: Wire, health_endpoint: str
) -> None:
    report: Final = proxy.get("/health", {"model": "sm-openai-health"})
    assert (report["healthy_count"], report["unhealthy_count"]) == (1, 0), report
    request: Final = _only_request(wire)
    assert request.target == f"/endpoints/{health_endpoint}/invocations", request
    assert request.headers[COMPONENT_HEADER] == COMPONENT, dict(request.headers)
    body: Final = _body(request)
    assert body["model"] == SERVED_MODEL, request.body
    assert isinstance(body["input"], list) and len(body["input"]) == 1, request.body