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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import re
import pytest
from pathlib import Path
from test_base import TestBase, servicePreparer
from devtools_testutils.aio import recorded_by_proxy_async
from devtools_testutils import is_live_and_not_recording
@pytest.mark.skipif(
condition=(not is_live_and_not_recording()),
reason="Skipped because we cannot record network calls with AOAI client",
)
class TestFilesAsync(TestBase):
# To run this test, use the following command in the \sdk\ai\azure-ai-projects folder:
# cls & pytest tests\test_files_async.py::TestFilesAsync::test_files_async -s
@servicePreparer()
@recorded_by_proxy_async
async def test_files_async(self, **kwargs):
file_purpose = self.test_files_params["file_purpose"]
test_file_name = self.test_files_params["test_file_name"]
test_data_dir = Path(__file__).parent.parent / "test_data" / "files"
test_file_path = test_data_dir / test_file_name
assert test_file_path.exists(), f"Test file not found: {test_file_path}"
project_client = self.create_async_client(**kwargs)
openai_client = project_client.get_openai_client()
async with project_client:
print(f"[test_files_async] Create (upload) a file with purpose '{file_purpose}'")
with open(test_file_path, "rb") as f:
uploaded_file = await openai_client.files.create(file=f, purpose=file_purpose)
TestBase.validate_file(uploaded_file, expected_purpose=file_purpose)
file_id = uploaded_file.id
print(f"[test_files_async] Uploaded file with ID: {file_id}")
processed_file = await openai_client.files.wait_for_processing(file_id)
TestBase.assert_equal_or_not_none(processed_file.status, "processed")
print(f"[test_files_async] File processed successfully with ID: {file_id}")
print(f"[test_files_async] Retrieve file metadata by ID: {file_id}")
retrieved_file = await openai_client.files.retrieve(file_id)
TestBase.validate_file(retrieved_file, expected_file_id=file_id, expected_purpose=file_purpose)
print(f"[test_files_async] Retrieved file: {retrieved_file.filename}")
print(f"[test_files_async] Retrieve file content for ID: {file_id}")
file_content = await openai_client.files.content(file_id)
assert file_content is not None
assert file_content.content is not None
assert len(file_content.content) > 0
print(f"[test_files_async] File content retrieved ({len(file_content.content)} bytes)")
print("[test_files_async] List all files")
found_uploaded_file = False
async for file in openai_client.files.list():
if file.id == file_id:
found_uploaded_file = True
TestBase.validate_file(file)
print(f"[test_files_async] Found uploaded file in list: {file.id}")
break
assert found_uploaded_file, "Uploaded file not found in list"
print(f"[test_files_async] Delete file with ID: {file_id}")
deleted_file = await openai_client.files.delete(file_id)
TestBase.assert_equal_or_not_none(deleted_file.id, file_id)
assert deleted_file.deleted is True
print(f"[test_files_async] Successfully deleted file: {deleted_file.id}")
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