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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
from __future__ import annotations
import os
import pytest
import pathlib
import uuid
import openai
from devtools_testutils import AzureRecordedTestCase
from conftest import ASST_AZURE, PREVIEW, GPT_4_OPENAI, configure, AZURE
@pytest.mark.live_test_only
class TestVectorStores(AzureRecordedTestCase):
@configure
@pytest.mark.parametrize("api_type, api_version", [(ASST_AZURE, PREVIEW), (GPT_4_OPENAI, "v1")])
def test_vector_stores_crud(self, client: openai.AzureOpenAI | openai.OpenAI, api_type, api_version, **kwargs):
file_name = f"test{uuid.uuid4()}.txt"
with open(file_name, "w") as f:
f.write("Contoso company policy requires that all employees take at least 10 vacation days a year.")
path = pathlib.Path(file_name)
file = client.files.create(
file=open(path, "rb"),
purpose="assistants"
)
try:
vector_store = client.vector_stores.create(
name="Support FAQ"
)
assert vector_store.name == "Support FAQ"
assert vector_store.id
assert vector_store.object == "vector_store"
assert vector_store.created_at
assert vector_store.file_counts.total == 0
vectors = client.vector_stores.list()
for vector in vectors:
assert vector.id
assert vector_store.object == "vector_store"
assert vector_store.created_at
vector_store = client.vector_stores.update(
vector_store_id=vector_store.id,
name="Support FAQ and more",
metadata={"Q": "A"}
)
assert vector_store.name == "Support FAQ and more"
assert vector_store.metadata == {"Q": "A"}
retrieved_vector = client.vector_stores.retrieve(
vector_store_id=vector_store.id
)
assert retrieved_vector.id == vector_store.id
vector_store_file = client.vector_stores.files.create(
vector_store_id=vector_store.id,
file_id=file.id
)
assert vector_store_file.id
assert vector_store_file.object == "vector_store.file"
assert vector_store_file.created_at
assert vector_store_file.vector_store_id == vector_store.id
vector_store_files = client.vector_stores.files.list(
vector_store_id=vector_store.id
)
for vector_file in vector_store_files:
assert vector_file.id
assert vector_file.object == "vector_store.file"
assert vector_store_file.created_at
assert vector_store_file.vector_store_id == vector_store.id
vector_store_file_2 = client.vector_stores.files.retrieve(
vector_store_id=vector_store.id,
file_id=vector_store_file.id
)
assert vector_store_file_2.id == vector_store_file.id
assert vector_store_file.vector_store_id == vector_store.id
# TODO not supported by Azure yet
# vector_store_file_updated = client.vector_stores.files.update(
# file_id=vector_store_file.id,
# vector_store_id=vector_store.id,
# attributes={"Q": "A"}
# )
# assert vector_store_file_updated.attributes == {"Q": "A"}
# file_content = client.vector_stores.files.content(
# vector_store_id=vector_store.id,
# file_id=vector_store_file.id
# )
# assert file_content
# search_response = client.vector_stores.search(
# vector_store_id=vector_store.id,
# query="vacation days",
# )
# for s in search_response:
# assert s
finally:
os.remove(path)
deleted_vector_store_file = client.vector_stores.files.delete(
vector_store_id=vector_store.id,
file_id=vector_store_file.id
)
assert deleted_vector_store_file.deleted is True
deleted_vector_store = client.vector_stores.delete(
vector_store_id=vector_store.id
)
assert deleted_vector_store.deleted is True
@configure
@pytest.mark.parametrize("api_type, api_version", [(ASST_AZURE, PREVIEW), (GPT_4_OPENAI, "v1")])
def test_vector_stores_batch_crud(self, client: openai.AzureOpenAI | openai.OpenAI, api_type, api_version, **kwargs):
file_name = f"test{uuid.uuid4()}.txt"
file_name_2 = f"test{uuid.uuid4()}.txt"
with open(file_name, "w") as f:
f.write("test")
path = pathlib.Path(file_name)
file = client.files.create(
file=open(path, "rb"),
purpose="assistants"
)
with open(file_name_2, "w") as f:
f.write("test")
path_2 = pathlib.Path(file_name_2)
file_2 = client.files.create(
file=open(path_2, "rb"),
purpose="assistants"
)
try:
vector_store = client.vector_stores.create(
name="Support FAQ"
)
vector_store_file_batch = client.vector_stores.file_batches.create(
vector_store_id=vector_store.id,
file_ids=[file.id, file_2.id]
)
assert vector_store_file_batch.id
assert vector_store_file_batch.object == "vector_store.file_batch"
assert vector_store_file_batch.created_at is not None
assert vector_store_file_batch.status
vectors = client.vector_stores.file_batches.list_files(
vector_store_id=vector_store.id,
batch_id=vector_store_file_batch.id
)
for vector in vectors:
assert vector.id
assert vector.object == "vector_store.file"
assert vector.created_at is not None
retrieved_vector_store_file_batch = client.vector_stores.file_batches.retrieve(
vector_store_id=vector_store.id,
batch_id=vector_store_file_batch.id
)
assert retrieved_vector_store_file_batch.id == vector_store_file_batch.id
finally:
os.remove(path)
os.remove(path_2)
delete_file = client.files.delete(file.id)
assert delete_file.deleted is True
delete_file = client.files.delete(file_2.id)
assert delete_file.deleted is True
deleted_vector_store = client.vector_stores.delete(
vector_store_id=vector_store.id
)
assert deleted_vector_store.deleted is True
|
