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test: use float32 to do import (#32276)

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Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com>
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zhuwenxing 2024-04-18 17:23:27 +08:00 committed by GitHub
parent 2a4dfde2de
commit 2cff65511c
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1 changed files with 44 additions and 36 deletions
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80
tests/restful_client_v2/testcases/test_jobs_operation.py
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@ -16,6 +16,14 @@ from uuid import uuid4
IMPORT_TIMEOUT = 360
class NumpyEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, np.float32):
return float(obj)
return super(NumpyEncoder, self).default(obj)
@pytest.mark.BulkInsert
class TestCreateImportJob(TestBase):
@ -50,7 +58,7 @@ class TestCreateImportJob(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -61,7 +69,7 @@ class TestCreateImportJob(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
@ -141,7 +149,7 @@ class TestCreateImportJob(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -152,7 +160,7 @@ class TestCreateImportJob(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
@ -231,7 +239,7 @@ class TestCreateImportJob(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -242,7 +250,7 @@ class TestCreateImportJob(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
# create partition
@ -326,7 +334,7 @@ class TestCreateImportJob(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(1000*file_num, 1000*(file_num+1))]
# dump data to file
@ -335,7 +343,7 @@ class TestCreateImportJob(TestBase):
# create dir for file path
Path(file_path).parent.mkdir(parents=True, exist_ok=True)
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
file_names.append([file_name])
@ -406,7 +414,7 @@ class TestCreateImportJob(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(1000*file_num, 1000*(file_num+1))]
# dump data to file
@ -486,7 +494,7 @@ class TestCreateImportJob(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(1000*file_num, 1000*(file_num+1))]
file_list = []
@ -573,7 +581,7 @@ class TestCreateImportJob(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(1000*file_num, 1000*(file_num+1))]
file_list = []
@ -598,7 +606,7 @@ class TestCreateImportJob(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(1000*file_num, 1000*(file_num+1))]
# dump data to file
@ -617,14 +625,14 @@ class TestCreateImportJob(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(1000*file_num, 1000*(file_num+1))]
# dump data to file
file_name = f"bulk_insert_data_{file_num}_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
file_names.append([file_name])
@ -735,9 +743,9 @@ class TestCreateImportJob(TestBase):
"int_array": [i],
"varchar_array": [f"varchar_{i}"],
"bool_array": [random.choice([True, False])],
"text_emb": preprocessing.normalize([np.array([random.random() for _ in range(dim)])])[
"text_emb": preprocessing.normalize([np.array([np.float32(random.random()) for _ in range(dim)])])[
0].tolist(),
"image_emb": preprocessing.normalize([np.array([random.random() for _ in range(dim)])])[
"image_emb": preprocessing.normalize([np.array([np.float32(random.random()) for _ in range(dim)])])[
0].tolist(),
}
else:
@ -751,9 +759,9 @@ class TestCreateImportJob(TestBase):
"int_array": [i],
"varchar_array": [f"varchar_{i}"],
"bool_array": [random.choice([True, False])],
"text_emb": preprocessing.normalize([np.array([random.random() for _ in range(dim)])])[
"text_emb": preprocessing.normalize([np.array([np.float32(random.random()) for _ in range(dim)])])[
0].tolist(),
"image_emb": preprocessing.normalize([np.array([random.random() for _ in range(dim)])])[
"image_emb": preprocessing.normalize([np.array([np.float32(random.random()) for _ in range(dim)])])[
0].tolist(),
}
if enable_dynamic_schema:
@ -846,7 +854,7 @@ class TestImportJobAdvance(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(batch_size*file_num, batch_size*(file_num+1))]
# dump data to file
@ -855,7 +863,7 @@ class TestImportJobAdvance(TestBase):
# create dir for file path
Path(file_path).parent.mkdir(parents=True, exist_ok=True)
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
file_names.append([file_name])
@ -946,7 +954,7 @@ class TestCreateImportJobAdvance(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(batch_size*file_num, batch_size*(file_num+1))]
# dump data to file
@ -955,7 +963,7 @@ class TestCreateImportJobAdvance(TestBase):
# create dir for file path
Path(file_path).parent.mkdir(parents=True, exist_ok=True)
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
file_names.append([file_name])
@ -1035,7 +1043,7 @@ class TestCreateImportJobAdvance(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(batch_size*file_num, batch_size*(file_num+1))]
# dump data to file
@ -1044,7 +1052,7 @@ class TestCreateImportJobAdvance(TestBase):
# create dir for file path
Path(file_path).parent.mkdir(parents=True, exist_ok=True)
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
file_names.append([file_name])
@ -1287,14 +1295,14 @@ class TestCreateImportJobNegative(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(10000)]
# dump data to file
file_name = f"bulk_insert_data_{uuid4()}.txt"
file_path = f"/tmp/{file_name}"
json_data = json.dumps(data)
json_data = json.dumps(data, cls=NumpyEncoder)
# 将JSON数据保存到txt文件
with open(file_path, 'w') as file:
@ -1333,14 +1341,14 @@ class TestCreateImportJobNegative(TestBase):
"book_id": i,
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]}
"book_intro": [np.float32(random.random()) for _ in range(dim)]}
for i in range(0)]
# dump data to file
file_name = "bulk_insert_empty_data.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
@ -1404,7 +1412,7 @@ class TestCreateImportJobNegative(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -1416,7 +1424,7 @@ class TestCreateImportJobNegative(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
@ -1462,7 +1470,7 @@ class TestCreateImportJobNegative(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -1473,7 +1481,7 @@ class TestCreateImportJobNegative(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
@ -1560,7 +1568,7 @@ class TestListImportJob(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -1571,7 +1579,7 @@ class TestListImportJob(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
@ -1633,7 +1641,7 @@ class TestGetImportJobProgress(TestBase):
tmp = {
"word_count": i,
"book_describe": f"book_{i}",
"book_intro": [random.random() for _ in range(dim)]
"book_intro": [np.float32(random.random()) for _ in range(dim)]
}
if not auto_id:
tmp["book_id"] = i
@ -1644,7 +1652,7 @@ class TestGetImportJobProgress(TestBase):
file_name = f"bulk_insert_data_{uuid4()}.json"
file_path = f"/tmp/{file_name}"
with open(file_path, "w") as f:
json.dump(data, f)
json.dump(data, f, cls=NumpyEncoder)
# upload file to minio storage
self.storage_client.upload_file(file_path, file_name)
job_id_list = []