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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import os
from typing import Any, cast
import pytest
from openai import OpenAI, AsyncOpenAI
from tests.utils import assert_matches_type
from openai.types.audio import TranscriptionCreateResponse
base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010")
class TestTranscriptions:
parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"])
@parametrize
def test_method_create_overload_1(self, client: OpenAI) -> None:
transcription = client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
)
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
@parametrize
def test_method_create_with_all_params_overload_1(self, client: OpenAI) -> None:
transcription = client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
chunking_strategy="auto",
include=["logprobs"],
language="language",
prompt="prompt",
response_format="json",
stream=False,
temperature=0,
timestamp_granularities=["word"],
)
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
@parametrize
def test_raw_response_create_overload_1(self, client: OpenAI) -> None:
response = client.audio.transcriptions.with_raw_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
transcription = response.parse()
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
@parametrize
def test_streaming_response_create_overload_1(self, client: OpenAI) -> None:
with client.audio.transcriptions.with_streaming_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
transcription = response.parse()
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
def test_method_create_overload_2(self, client: OpenAI) -> None:
transcription_stream = client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
)
transcription_stream.response.close()
@parametrize
def test_method_create_with_all_params_overload_2(self, client: OpenAI) -> None:
transcription_stream = client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
chunking_strategy="auto",
include=["logprobs"],
language="language",
prompt="prompt",
response_format="json",
temperature=0,
timestamp_granularities=["word"],
)
transcription_stream.response.close()
@parametrize
def test_raw_response_create_overload_2(self, client: OpenAI) -> None:
response = client.audio.transcriptions.with_raw_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
)
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = response.parse()
stream.close()
@parametrize
def test_streaming_response_create_overload_2(self, client: OpenAI) -> None:
with client.audio.transcriptions.with_streaming_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = response.parse()
stream.close()
assert cast(Any, response.is_closed) is True
class TestAsyncTranscriptions:
parametrize = pytest.mark.parametrize(
"async_client", [False, True, {"http_client": "aiohttp"}], indirect=True, ids=["loose", "strict", "aiohttp"]
)
@parametrize
async def test_method_create_overload_1(self, async_client: AsyncOpenAI) -> None:
transcription = await async_client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
)
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
@parametrize
async def test_method_create_with_all_params_overload_1(self, async_client: AsyncOpenAI) -> None:
transcription = await async_client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
chunking_strategy="auto",
include=["logprobs"],
language="language",
prompt="prompt",
response_format="json",
stream=False,
temperature=0,
timestamp_granularities=["word"],
)
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
@parametrize
async def test_raw_response_create_overload_1(self, async_client: AsyncOpenAI) -> None:
response = await async_client.audio.transcriptions.with_raw_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
transcription = response.parse()
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
@parametrize
async def test_streaming_response_create_overload_1(self, async_client: AsyncOpenAI) -> None:
async with async_client.audio.transcriptions.with_streaming_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
transcription = await response.parse()
assert_matches_type(TranscriptionCreateResponse, transcription, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
async def test_method_create_overload_2(self, async_client: AsyncOpenAI) -> None:
transcription_stream = await async_client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
)
await transcription_stream.response.aclose()
@parametrize
async def test_method_create_with_all_params_overload_2(self, async_client: AsyncOpenAI) -> None:
transcription_stream = await async_client.audio.transcriptions.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
chunking_strategy="auto",
include=["logprobs"],
language="language",
prompt="prompt",
response_format="json",
temperature=0,
timestamp_granularities=["word"],
)
await transcription_stream.response.aclose()
@parametrize
async def test_raw_response_create_overload_2(self, async_client: AsyncOpenAI) -> None:
response = await async_client.audio.transcriptions.with_raw_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
)
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = response.parse()
await stream.close()
@parametrize
async def test_streaming_response_create_overload_2(self, async_client: AsyncOpenAI) -> None:
async with async_client.audio.transcriptions.with_streaming_response.create(
file=b"raw file contents",
model="gpt-4o-transcribe",
stream=True,
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = await response.parse()
await stream.close()
assert cast(Any, response.is_closed) is True
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