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530 lines
18 KiB
Python
530 lines
18 KiB
Python
"""Behavior tests for the OpenAI batch provider and the provider contract."""
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from __future__ import annotations
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import io
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import importlib.util
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import runpy
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from collections.abc import Sequence
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from pathlib import Path
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from types import SimpleNamespace
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from typing import Any
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import openai
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import pytest
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import instructor.batch.providers as providers
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from instructor.batch.models import BatchJobInfo, BatchStatus
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from instructor.batch.providers.base import BatchProvider
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from instructor.batch.providers.openai import OpenAIProvider
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pytestmark = pytest.mark.unit
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class BatchResponse:
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"""Small SDK-shaped batch response used by the provider tests."""
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def __init__(
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self,
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batch_id: str = "batch_123",
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status: str = "completed",
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output_file_id: str | None = "file_output",
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request_counts: Any = None,
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) -> None:
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self.id = batch_id
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self.status = status
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self.output_file_id = output_file_id
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self.request_counts = request_counts
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self.created_at = 1_700_000_000
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def model_dump(self) -> dict[str, Any]:
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counts = self.request_counts
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return {
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"id": self.id,
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"status": self.status,
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"created_at": self.created_at,
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"request_counts": {
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"total": getattr(counts, "total", None),
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"completed": getattr(counts, "completed", None),
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"failed": getattr(counts, "failed", None),
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},
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"input_file_id": "file_input",
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"output_file_id": self.output_file_id,
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"metadata": {"source": "unit-test"},
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"endpoint": "/v1/chat/completions",
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"completion_window": "24h",
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}
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class FilesAPI:
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def __init__(self, text: str = '{"ok": true}\n') -> None:
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self.text = text
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self.uploads: list[tuple[bytes, str]] = []
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self.content_ids: list[str] = []
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self.create_error: Exception | None = None
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self.content_error: Exception | None = None
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def create(self, *, file: Any, purpose: str) -> SimpleNamespace:
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if self.create_error:
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raise self.create_error
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self.uploads.append((file.read(), purpose))
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return SimpleNamespace(id="file_input")
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def content(self, file_id: str) -> SimpleNamespace:
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if self.content_error:
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raise self.content_error
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self.content_ids.append(file_id)
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return SimpleNamespace(text=self.text)
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class BatchesAPI:
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def __init__(self, responses: Sequence[BatchResponse] | None = None) -> None:
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self.responses = responses or [BatchResponse()]
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self.retrieve_ids: list[str] = []
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self.created: list[dict[str, Any]] = []
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self.cancelled: list[str] = []
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self.limits: list[int] = []
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self.create_error: Exception | None = None
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self.retrieve_error: Exception | None = None
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self.cancel_error: Exception | None = None
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self.list_error: Exception | None = None
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def create(self, **kwargs: Any) -> SimpleNamespace:
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if self.create_error:
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raise self.create_error
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self.created.append(kwargs)
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return SimpleNamespace(id="batch_created")
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def retrieve(self, batch_id: str) -> BatchResponse:
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if self.retrieve_error:
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raise self.retrieve_error
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self.retrieve_ids.append(batch_id)
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index = min(len(self.retrieve_ids) - 1, len(self.responses) - 1)
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return self.responses[index]
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def cancel(self, batch_id: str) -> BatchResponse:
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if self.cancel_error:
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raise self.cancel_error
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self.cancelled.append(batch_id)
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return BatchResponse(batch_id=batch_id, status="cancelled")
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def list(self, *, limit: int) -> SimpleNamespace:
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if self.list_error:
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raise self.list_error
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self.limits.append(limit)
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return SimpleNamespace(data=self.responses)
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class OpenAIClient:
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def __init__(self, responses: list[BatchResponse] | None = None) -> None:
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self.files = FilesAPI()
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self.batches = BatchesAPI(responses)
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def install_client(
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monkeypatch: pytest.MonkeyPatch, client: OpenAIClient
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) -> OpenAIProvider:
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monkeypatch.setattr(openai, "OpenAI", lambda: client)
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return OpenAIProvider()
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def test_submit_batch_uploads_file_and_uses_default_metadata(
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monkeypatch: pytest.MonkeyPatch, tmp_path: Path
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) -> None:
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batch_file = tmp_path / "requests.jsonl"
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batch_file.write_bytes(b'{"custom_id": "one"}\n')
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client = OpenAIClient()
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provider = install_client(monkeypatch, client)
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batch_id = provider.submit_batch(str(batch_file))
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assert batch_id == "batch_created"
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assert client.files.uploads == [(b'{"custom_id": "one"}\n', "batch")]
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assert client.batches.created == [
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{
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"input_file_id": "file_input",
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"endpoint": "/v1/chat/completions",
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"completion_window": "24h",
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"metadata": {"description": "Instructor batch job"},
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}
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]
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def test_submit_batch_rewinds_buffer_and_passes_custom_options(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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buffer = io.BytesIO(b'{"custom_id": "two"}\n')
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buffer.seek(5)
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client = OpenAIClient()
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provider = install_client(monkeypatch, client)
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batch_id = provider.submit_batch(
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buffer, metadata={"source": "daily-import"}, completion_window="48h"
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)
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assert batch_id == "batch_created"
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assert client.files.uploads == [(b'{"custom_id": "two"}\n', "batch")]
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assert client.batches.created == [
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{
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"input_file_id": "file_input",
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"endpoint": "/v1/chat/completions",
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"completion_window": "48h",
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"metadata": {"source": "daily-import"},
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}
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]
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def test_submit_batch_rejects_invalid_input_without_credentials(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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monkeypatch.delenv("OPENAI_API_KEY", raising=False)
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invalid_input: Any = 123
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with pytest.raises(ValueError, match="Unsupported file_path_or_buffer type"):
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OpenAIProvider().submit_batch(invalid_input)
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@pytest.mark.parametrize("error", [ValueError("bad input"), TypeError("bad file")])
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def test_submit_batch_preserves_validation_errors(
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monkeypatch: pytest.MonkeyPatch, error: Exception
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) -> None:
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client = OpenAIClient()
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client.files.create_error = error
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provider = install_client(monkeypatch, client)
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with pytest.raises(type(error), match=str(error)) as caught:
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provider.submit_batch(io.BytesIO(b"{}\n"))
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assert caught.value is error
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assert client.batches.created == []
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def test_submit_batch_wraps_service_errors(monkeypatch: pytest.MonkeyPatch) -> None:
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client = OpenAIClient()
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client.batches.create_error = ConnectionError("service unavailable")
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provider = install_client(monkeypatch, client)
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with pytest.raises(RuntimeError, match="Failed to submit OpenAI batch") as caught:
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provider.submit_batch(io.BytesIO(b"{}\n"))
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assert isinstance(caught.value.__cause__, ConnectionError)
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assert "service unavailable" in str(caught.value)
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def test_get_status_maps_sdk_response_and_missing_count_fields(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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batch = BatchResponse(status="in_progress", request_counts=SimpleNamespace(total=4))
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client = OpenAIClient([batch])
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provider = install_client(monkeypatch, client)
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status = provider.get_status("batch_123")
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assert status == {
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"id": "batch_123",
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"status": "in_progress",
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"created_at": 1_700_000_000,
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"request_counts": {"total": 4, "completed": 0, "failed": 0},
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}
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assert client.batches.retrieve_ids == ["batch_123"]
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def test_get_status_wraps_sdk_error(monkeypatch: pytest.MonkeyPatch) -> None:
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client = OpenAIClient()
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client.batches.retrieve_error = ConnectionError("status service unavailable")
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provider = install_client(monkeypatch, client)
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with pytest.raises(Exception, match="Failed to get OpenAI batch status") as caught:
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provider.get_status("batch_missing")
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assert isinstance(caught.value.__cause__, ConnectionError)
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@pytest.mark.parametrize("operation", ["retrieve", "download"])
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def test_completed_batch_reads_or_writes_results(
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monkeypatch: pytest.MonkeyPatch, tmp_path: Path, operation: str
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) -> None:
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counts = SimpleNamespace(total=2, completed=1, failed=1)
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batch = BatchResponse(request_counts=counts)
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client = OpenAIClient([batch])
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client.files.text = '{"custom_id": "one", "response": {}}\n'
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provider = install_client(monkeypatch, client)
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destination = tmp_path / "results.jsonl"
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if operation == "retrieve":
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result = provider.retrieve_results("batch_123")
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assert result == client.files.text
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else:
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result = provider.download_results("batch_123", str(destination))
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assert result is None
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assert destination.read_text() == client.files.text
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assert client.batches.retrieve_ids == ["batch_123"]
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assert client.files.content_ids == ["file_output"]
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@pytest.mark.parametrize("operation", ["retrieve", "download"])
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def test_results_wait_for_output_file_then_succeed(
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monkeypatch: pytest.MonkeyPatch,
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tmp_path: Path,
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capsys: pytest.CaptureFixture[str],
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operation: str,
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) -> None:
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waiting = BatchResponse(output_file_id=None)
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ready = BatchResponse(output_file_id="file_ready")
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client = OpenAIClient([waiting, ready])
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provider = install_client(monkeypatch, client)
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waits: list[int] = []
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monkeypatch.setattr("time.sleep", waits.append)
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destination = tmp_path / "results.jsonl"
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if operation == "retrieve":
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assert provider.retrieve_results("batch_123") == client.files.text
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else:
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provider.download_results("batch_123", str(destination))
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assert destination.read_text() == client.files.text
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output = capsys.readouterr().out
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assert waits == [5]
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assert "waiting 5s (attempt 1/10)" in output
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assert "Output file now available: file_ready" in output
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assert client.batches.retrieve_ids == ["batch_123", "batch_123"]
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assert client.files.content_ids == ["file_ready"]
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@pytest.mark.parametrize("operation", ["retrieve", "download"])
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def test_results_reject_noncompleted_and_all_failed_batches(
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monkeypatch: pytest.MonkeyPatch, tmp_path: Path, operation: str
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) -> None:
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pending_client = OpenAIClient([BatchResponse(status="in_progress")])
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provider = install_client(monkeypatch, pending_client)
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destination = tmp_path / "results.jsonl"
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with pytest.raises(Exception, match="Batch not completed, status: in_progress"):
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if operation == "retrieve":
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provider.retrieve_results("batch_pending")
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else:
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provider.download_results("batch_pending", str(destination))
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failed_counts = SimpleNamespace(total=3, completed=0, failed=3)
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failed_client = OpenAIClient([BatchResponse(request_counts=failed_counts)])
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provider = install_client(monkeypatch, failed_client)
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with pytest.raises(Exception, match="All 3 batch requests failed"):
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if operation == "retrieve":
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provider.retrieve_results("batch_failed")
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else:
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provider.download_results("batch_failed", str(destination))
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assert pending_client.files.content_ids == []
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assert failed_client.files.content_ids == []
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assert not destination.exists()
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@pytest.mark.parametrize("operation", ["retrieve", "download"])
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def test_results_stop_when_status_changes_while_waiting(
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monkeypatch: pytest.MonkeyPatch, tmp_path: Path, operation: str
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) -> None:
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responses = [
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BatchResponse(output_file_id=None),
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BatchResponse(status="failed", output_file_id=None),
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]
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client = OpenAIClient(responses)
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provider = install_client(monkeypatch, client)
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waits: list[int] = []
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monkeypatch.setattr("time.sleep", waits.append)
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destination = tmp_path / "results.jsonl"
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with pytest.raises(Exception, match="Batch status changed to failed"):
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if operation == "retrieve":
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provider.retrieve_results("batch_123")
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else:
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provider.download_results("batch_123", str(destination))
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assert waits == [5]
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assert len(client.batches.retrieve_ids) == 2
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assert client.files.content_ids == []
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assert not destination.exists()
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@pytest.mark.parametrize("operation", ["retrieve", "download"])
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def test_results_report_exhausted_output_retries(
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monkeypatch: pytest.MonkeyPatch, tmp_path: Path, operation: str
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) -> None:
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client = OpenAIClient([BatchResponse(output_file_id=None)])
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provider = install_client(monkeypatch, client)
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waits: list[int] = []
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monkeypatch.setattr("time.sleep", waits.append)
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destination = tmp_path / "results.jsonl"
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with pytest.raises(Exception, match="No output file available after 10 retries"):
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if operation == "retrieve":
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provider.retrieve_results("batch_123")
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else:
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provider.download_results("batch_123", str(destination))
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assert waits == list(range(5, 15))
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assert len(client.batches.retrieve_ids) == 11
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assert client.files.content_ids == []
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assert not destination.exists()
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@pytest.mark.parametrize("operation", ["retrieve", "download"])
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def test_results_wrap_file_read_errors(
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monkeypatch: pytest.MonkeyPatch, tmp_path: Path, operation: str
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) -> None:
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client = OpenAIClient()
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client.files.content_error = ConnectionError("file service unavailable")
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provider = install_client(monkeypatch, client)
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destination = tmp_path / "results.jsonl"
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expected = (
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"Failed to retrieve OpenAI results"
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if operation == "retrieve"
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else "Failed to download OpenAI results"
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)
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with pytest.raises(Exception, match=expected) as caught:
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if operation == "retrieve":
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provider.retrieve_results("batch_123")
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else:
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provider.download_results("batch_123", str(destination))
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assert isinstance(caught.value.__cause__, ConnectionError)
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assert not destination.exists()
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def test_cancel_delete_and_list_batches_map_sdk_results(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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counts = SimpleNamespace(total=4, completed=4, failed=0)
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batch = BatchResponse(request_counts=counts)
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client = OpenAIClient([batch])
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provider = install_client(monkeypatch, client)
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cancelled = provider.cancel_batch("batch_cancel")
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deleted = provider.delete_batch("batch_123")
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listed = provider.list_batches(limit=3)
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assert cancelled["id"] == "batch_cancel"
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assert cancelled["status"] == "cancelled"
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assert client.batches.cancelled == ["batch_cancel"]
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assert deleted == {
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"id": "batch_123",
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"status": "completed",
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"message": "OpenAI does not support batch deletion",
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}
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assert client.batches.limits == [3]
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assert len(listed) == 1
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assert isinstance(listed[0], BatchJobInfo)
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assert listed[0].provider == "openai"
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assert listed[0].status == BatchStatus.COMPLETED
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assert listed[0].request_counts.total == 4
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assert listed[0].files.output_file_id == "file_output"
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@pytest.mark.parametrize(
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("operation", "error_attribute", "expected"),
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[
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("cancel", "cancel_error", "Failed to cancel OpenAI batch"),
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("delete", "retrieve_error", "Failed to delete OpenAI batch"),
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("list", "list_error", "Failed to list OpenAI batches"),
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],
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)
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def test_batch_actions_wrap_sdk_errors(
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monkeypatch: pytest.MonkeyPatch,
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operation: str,
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error_attribute: str,
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expected: str,
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) -> None:
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client = OpenAIClient()
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setattr(
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client.batches, error_attribute, ConnectionError("batch service unavailable")
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)
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provider = install_client(monkeypatch, client)
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with pytest.raises(Exception, match=expected) as caught:
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if operation == "cancel":
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provider.cancel_batch("batch_123")
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elif operation == "delete":
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provider.delete_batch("batch_123")
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else:
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provider.list_batches()
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assert isinstance(caught.value.__cause__, ConnectionError)
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def test_provider_factory_selects_available_providers() -> None:
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openai_provider = providers.get_provider("openai")
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anthropic_provider = providers.get_provider("anthropic")
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openai_provider_type = providers.OpenAIProvider
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anthropic_provider_type = providers.AnthropicProvider
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assert openai_provider_type is not None
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assert anthropic_provider_type is not None
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assert isinstance(openai_provider, openai_provider_type)
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assert isinstance(anthropic_provider, anthropic_provider_type)
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assert isinstance(openai_provider, BatchProvider)
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assert isinstance(anthropic_provider, BatchProvider)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("provider_name", "attribute", "expected"),
|
|
[
|
|
("openai", "OpenAIProvider", "OpenAI is not installed"),
|
|
("anthropic", "AnthropicProvider", "Anthropic is not installed"),
|
|
],
|
|
)
|
|
def test_provider_factory_reports_missing_optional_provider(
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
provider_name: str,
|
|
attribute: str,
|
|
expected: str,
|
|
) -> None:
|
|
monkeypatch.setattr(providers, attribute, None)
|
|
|
|
with pytest.raises(ValueError, match=expected):
|
|
providers.get_provider(provider_name)
|
|
|
|
|
|
def test_provider_factory_rejects_unknown_provider() -> None:
|
|
with pytest.raises(ValueError, match="Unsupported provider: unknown"):
|
|
providers.get_provider("unknown")
|
|
|
|
|
|
def test_provider_module_handles_missing_optional_sdks(
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
original_find_spec = importlib.util.find_spec
|
|
monkeypatch.setattr(
|
|
importlib.util,
|
|
"find_spec",
|
|
lambda name: None
|
|
if name in {"openai", "anthropic"}
|
|
else original_find_spec(name),
|
|
)
|
|
|
|
namespace = runpy.run_path(
|
|
providers.__file__, run_name="instructor.batch.providers.without_sdks"
|
|
)
|
|
|
|
assert namespace["OpenAIProvider"] is None
|
|
assert namespace["AnthropicProvider"] is None
|
|
with pytest.raises(ValueError, match="OpenAI is not installed"):
|
|
namespace["get_provider"]("openai")
|
|
with pytest.raises(ValueError, match="Anthropic is not installed"):
|
|
namespace["get_provider"]("anthropic")
|
|
|
|
|
|
def test_batch_provider_contract_requires_and_defines_all_operations() -> None:
|
|
expected = {
|
|
"submit_batch",
|
|
"get_status",
|
|
"retrieve_results",
|
|
"download_results",
|
|
"cancel_batch",
|
|
"delete_batch",
|
|
"list_batches",
|
|
}
|
|
assert BatchProvider.__abstractmethods__ == expected
|
|
with pytest.raises(TypeError, match="abstract methods"):
|
|
BatchProvider()
|