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Used function call from dagshub client #5

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Merged
deanp70 merged 1 commit into from
Jan 9, 2025
Merged

Used function call from dagshub client #5

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8 changes: 3 additions & 5 deletions label_studio_ml/api.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
from dagshub.mlflow import get_mlflow_model
from dagshub.data_engine import datasources
from dotenv import load_dotenv

Expand Down Expand Up @@ -60,7 +61,7 @@ def reverse_lookup(dictionary, target):
try:
uv_output = subprocess.run(f'yes | uv pip install --upgrade -r {req_path}', shell=True, capture_output=True)
except:
raise ValueError("Failed to install requirements.txt.")
raise RuntimeError("Failed to install requirements.txt.")
importlib.invalidate_caches()

lookup_table = importlib.metadata.packages_distributions()
Expand All @@ -72,10 +73,7 @@ def reverse_lookup(dictionary, target):
print(f"Could not re-load {module}")
importlib.invalidate_caches()

model_flavor = mlflow.models.get_model_info(model_uri).flavors['python_function']['loader_module']
loader = importlib.import_module(model_flavor[:len(model_flavor) - model_flavor[::-1].index('.') - 1])
mlflow_model = loader.load_model(model_uri, dst_path=tempdir)

mlflow_model = get_mlflow_model(args['repo'], args['name'], args['host'], args['version'])
ds = datasources.get_datasource(args['datasource_repo'], args['datasource_name'])
dp_map = ds.all().dataframe[['path', 'datapoint_id']]
model.configure(mlflow_model, *[cloudpickle.loads(base64.b64decode(args[hook])) for hook in ['pre_hook', 'post_hook']], ds, dp_map)
Expand Down
1 change: 1 addition & 0 deletions requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -5,3 +5,4 @@ semver~=3.0.2
label-studio-sdk==1.0.2
# label-studio-sdk @ git+https://github.com/HumanSignal/label-studio-sdk.git
python-dotenv==1.0.1
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