add mlflow-export-import

recipes/mlflow-export-import/recipe.yaml

@@ -0,0 +1,74 @@
+context:
+  name: mlflow-export-import
+  version: "1.1.2"
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  url: https://github.com/mlflow/${{ name }}/archive/refs/tags/v${{ version }}.tar.gz
+  sha256: 336bd0fe3a16ac2198774f89d2642df5d103d306a5a6d3b48f3eed90dbddf9c3
+
+build:
+  script: python -m pip install . -vv
+  noarch: python
+  number: 0
+  python:
+    entry_points:
+      - export-all = mlflow_export_import.bulk.export_all:main
+      - import-all = mlflow_export_import.bulk.import_models:main
+      - export-models = mlflow_export_import.bulk.export_models:main
+      - import-models = mlflow_export_import.bulk.import_models:main
+      - export-run = mlflow_export_import.run.export_run:main
+      - import-run = mlflow_export_import.run.import_run:main
+      - export-experiment = mlflow_export_import.experiment.export_experiment:main
+      - import-experiment = mlflow_export_import.experiment.import_experiment:main
+      - export-experiments = mlflow_export_import.bulk.export_experiments:main
+      - import-experiments = mlflow_export_import.bulk.import_experiments:main 
+      - export-model = mlflow_export_import.model.export_model:main
+      - import-model = mlflow_export_import.model.import_model:main
+      - export-model-version = mlflow_export_import.model_version.export_model_version:main
+      - import-model-version = mlflow_export_import.model_version.import_model_version:main
+      - download-notebook = mlflow_export_import.notebook.download_notebook:main
+      - copy-model-version = mlflow_export_import.copy.copy_model_version:main
+      - copy-run = mlflow_export_import.copy.copy_run:main
+      - get-model-signature = mlflow_export_import.tools.get_model_signature:main
+      - set-model-signature = mlflow_export_import.tools.set_model_signature:main
+      - list-model-versions-without-sigantures = mlflow_export_import.tools.list_model_versions_without_signatures:main
+      - http-client = mlflow_export_import.client.http_client:main
+
+requirements:
+  host:
+    - pip
+    - python >=3.8
+    - setuptools
+  run:
+    - python >=3.8
+    - mlflow >=2.9.2, <2.10.2
+    - databricks-cli ==0.18.0
+    - pandas >=1.5.2
+    - tabulate ==0.9.0
+    - wheel
+    - pytest
+    - pytest-html >=3.2.0
+    - shortuuid >=1.0.11
+
+tests:
+  - python:
+      imports:
+        - mlflow_export_import
+      pip_check: true
+
+about:
+  homepage:  https://github.com/mlflow/mlflow-export-import
+  summary: 'Tools to copy MLflow objects'
+  description: |
+    The MLflow Export Import package provides tools to copy MLflow objects (runs, experiments or registered models) from one MLflow tracking server (Databricks workspace) to another. Using the MLflow REST API, the tools export MLflow objects to an intermediate directory and then import them into the target tracking server.
+  license: Apache-2.0
+  license_file: LICENSE.txt
+  repository: https://github.com/mlflow/mlflow-export-import
+
+extra:
+  recipe-maintainers:
+    - EllaBootQC