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feat: upload local model without any extra file generation (PMMODEL-682) #211

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Apr 30, 2025
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53 changes: 53 additions & 0 deletions src/sasctl/tasks.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
from pathlib import Path
from typing import Union
from warnings import warn
import zipfile

import pandas as pd

Expand Down Expand Up @@ -998,3 +999,55 @@ def score_model_with_cas(
print(score_execution_poll)
score_results = se.get_score_execution_results(score_execution, use_cas_gateway)
return score_results


def upload_local_model(
path: Union[str, Path],
model_name: str,
project_name: str,
repo_name: Union[str, dict] = None,
version: str = "latest",
):
"""A barebones function to upload a model and any associated files to the model repository.
Parameters
----------
path : Union[str, Path]
The path to the model and any associated files.
model_name : str
The name of the model.
project_name : str
The name of the project to which the model will be uploaded.
"""
# Use default repository if not specified
try:
if repo_name is None:
repository = mr.default_repository()
else:
repository = mr.get_repository(repo_name)
except HTTPError as e:
if e.code == 403:
raise AuthorizationError(
"Unable to register model. User account does not have read permissions "
"for the /modelRepository/repositories/ URL. Please contact your SAS "
"Viya administrator."
)
raise e

# Unable to find or create the repo.
if not repository and not repo_name:
raise ValueError("Unable to find a default repository")
elif not repository:
raise ValueError(f"Unable to find repository '{repo_name}'")
p = mr.get_project(project_name)
if p is None:
mr.create_project(project_name, repository)
zip_name = str(Path(path) / (model_name + ".zip"))
file_names = sorted(Path(path).glob("*[!zip]"))
with zipfile.ZipFile(str(zip_name), mode="w") as zFile:
for file in file_names:
zFile.write(str(file), arcname=file.name)
with open(zip_name, "rb") as zip_file:
model = mr.import_model_from_zip(
model_name, project_name, zip_file, version=version
)
return model
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