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strategies.py
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strategies.py
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# -*- coding: utf-8 -*-
"""Hypothesis composite strategies for use in client unit tests."""
from string import ascii_letters, ascii_lowercase, hexdigits
from typing import Any, Dict
import hypothesis.strategies as st
from verta._internal_utils._utils import _VALID_FLAT_KEY_CHARS
from verta._protos.public.common import CommonService_pb2
from verta._protos.public.modeldb.versioning import Code_pb2, Dataset_pb2
from verta.endpoint import KafkaSettings, build
@st.composite
def uint64(draw) -> int:
"""Generate an integer within the range of an uint64."""
return draw(st.integers(min_value=0, max_value=2**64 - 1))
@st.composite
def int64(draw) -> int:
"""Generate an integer within the range of an int64."""
return draw(st.integers(min_value=-(2**63), max_value=2**63 - 1))
@st.composite
def artifact_proto(draw) -> CommonService_pb2.Artifact:
"""Generate a mocked Artifact protobuf object."""
key: str = draw(st.text(_VALID_FLAT_KEY_CHARS, min_size=1))
filename_extension: str = draw(st.text(ascii_lowercase))
return CommonService_pb2.Artifact(
key=key,
path=f"{draw(st.text(ascii_letters + '/'))}/{key}.{filename_extension}",
filename_extension=filename_extension,
artifact_type=CommonService_pb2.ArtifactTypeEnum.BLOB,
upload_completed=draw(st.booleans()),
# these possible values are based on _artifact_utils.serialize_model()
serialization=draw(
st.sampled_from(["joblib", "cloudpickle", "pickle", "keras"])
),
)
@st.composite
def model_artifact_proto(draw) -> CommonService_pb2.Artifact:
"""
Generate a mocked Artifact protobuf object specifically representing a model artifact.
"""
proto: CommonService_pb2.Artifact = draw(artifact_proto())
proto.artifact_type = CommonService_pb2.ArtifactTypeEnum.MODEL
proto.artifact_subtype = draw(
# these possible values are based on _artifact_utils.serialize_model()
st.sampled_from(
["torch", "sklearn", "xgboost", "tensorflow", "custom", "callable"]
)
)
return proto
@st.composite
def git_code_blob_proto(draw) -> Code_pb2.GitCodeBlob:
"""Generate a mocked GitCodeBlob protobuf object."""
return Code_pb2.GitCodeBlob(
repo=draw(st.text(ascii_letters)),
hash=draw(st.text(hexdigits)),
branch=draw(st.text(ascii_letters)),
tag=draw(st.text(ascii_letters)),
is_dirty=draw(st.booleans()),
)
@st.composite
def notebook_code_blob_proto(draw) -> Code_pb2.NotebookCodeBlob:
"""Generate a mocked NotebookCodeBlob protobuf object."""
return Code_pb2.NotebookCodeBlob(
path=Dataset_pb2.PathDatasetComponentBlob(
path=draw(st.text(ascii_letters)),
size=draw(uint64()),
last_modified_at_source=draw(uint64()),
md5=draw(st.text(hexdigits)),
),
git_repo=draw(git_code_blob_proto()),
)
@st.composite
def code_blob_proto(draw) -> Code_pb2.CodeBlob:
"""Generate a mocked CodeBlob protobuf object."""
proto = Code_pb2.CodeBlob()
if draw(st.booleans()):
proto.git.CopyFrom(draw(git_code_blob_proto()))
else:
proto.notebook.CopyFrom(draw(notebook_code_blob_proto()))
return proto
@st.composite
def mock_kafka_configs_response(draw) -> Dict[str, Any]:
"""
Provide mocked API result from `api/v1/uac-proxy/system_admin/listKafkaConfiguration`
with a single Kafka configuration.
"""
return {
"configurations": [
{
"id": draw(st.integers()),
"kerberos": {
"enabled": draw(st.booleans()),
"client_name": draw(st.text()),
"conf": draw(st.text()),
"keytab": draw(st.text()),
"service_name": draw(st.text()),
},
"brokerAddresses": draw(st.text()),
"enabled": draw(st.booleans()),
"name": draw(st.text()),
}
]
}
@st.composite
def mock_kafka_settings(draw) -> KafkaSettings:
"""Generate a mocked KafkaSettings object with no value for cluster config ID."""
topics = draw(st.lists(st.text(min_size=1), min_size=3, max_size=3, unique=True))
return KafkaSettings(
input_topic=topics[0], output_topic=topics[1], error_topic=topics[2]
)
@st.composite
def mock_kafka_settings_with_config_id(draw) -> KafkaSettings:
"""Generate a mocked KafkaSettings object that includes a cluster config ID."""
topics = draw(st.lists(st.text(min_size=1), min_size=3, max_size=3, unique=True))
return KafkaSettings(
input_topic=topics[0],
output_topic=topics[1],
error_topic=topics[2],
cluster_config_id=draw(st.text(min_size=1)),
)
@st.composite
def build_dict(draw) -> Dict[str, Any]:
"""Generate a Verta model build, as returned by /api/v1/deployment/builds/{build_id}."""
creator_request = {
"requires_root": draw(st.booleans()),
"scan_external": draw(st.booleans()),
"self_contained": draw(st.booleans()),
"uses_flask": draw(st.booleans()),
}
if draw(st.booleans()):
creator_request["model_version_id"] = draw(st.integers(min_value=1))
else:
creator_request["run_id"] = str(draw(st.uuids()))
return {
"creator_request": creator_request,
"date_created": draw(st.datetimes()).isoformat(timespec="milliseconds") + "Z",
"date_updated": draw(st.datetimes()).isoformat(timespec="milliseconds") + "Z",
"id": draw(st.integers(min_value=1)),
"location": draw(st.text()),
"message": draw(st.text()),
"status": draw(st.text()),
}
@st.composite
def _build_scan_detail(draw) -> Dict[str, Any]:
"""For use in build_scan_dict."""
return {
"name": draw(st.text()),
"package": draw(st.text()),
"description": draw(st.text()),
"severity": draw(
st.sampled_from(
[
"critical",
"high",
"medium",
"low",
"informational",
"unknown",
],
)
),
}
@st.composite
def build_scan_dict(draw) -> Dict[str, Any]:
"""Generate a Verta build scan, as returned by /api/v1/deployment/builds/{build_id}/scan."""
d = {
"creator_request": {
"scan_external": draw(st.booleans()),
},
"date_updated": draw(st.datetimes()).isoformat(timespec="milliseconds") + "Z",
"details": None,
"id": draw(st.integers(min_value=1)),
"scan_status": draw(st.sampled_from(list(build.ScanProgressEnum))).value,
}
if d["scan_status"] == build.ScanProgressEnum.SCANNED:
d["safety_status"] = draw(st.sampled_from(list(build.ScanResultEnum))).value
if d["creator_request"]["scan_external"]:
d["scan_external_status"] = {
"safety_status": d["safety_status"],
"url": draw(st.text()),
}
else:
d["scanner"] = draw(st.text())
d["details"] = draw(st.lists(_build_scan_detail()))
return d