Add download_large_files in monai/bundle/scripts.py (#6958)

Fixes #6362 .

### Description

Add `download_large_files` in `monai/bundle/scripts.py`.
Refer to the one in
https://github.com/Project-MONAI/model-zoo/blob/131b0da3f540ed13a8a1c02d8395e92a682d47cf/ci/utils.py#L93.

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

---------

Signed-off-by: KumoLiu <[email protected]>

monai/bundle/__init__.py

@@ -19,6 +19,7 @@
     ckpt_export,
     create_workflow,
     download,
+    download_large_files,
     get_all_bundles_list,
     get_bundle_info,
     get_bundle_versions,

monai/bundle/__main__.py

@@ -14,6 +14,7 @@
 from monai.bundle.scripts import (
     ckpt_export,
     download,
+    download_large_files,
     init_bundle,
     onnx_export,
     run,

monai/bundle/scripts.py

@@ -1619,3 +1619,43 @@ def create_workflow(
     workflow_.initialize()
 
     return workflow_
+
+
+def download_large_files(bundle_path: str | None = None, large_file_name: str | None = None) -> None:
+    """
+    This utility allows you to download large files from a bundle. It supports file suffixes like ".yml", ".yaml", and ".json".
+    If you don't specify a `large_file_name`, it will automatically search for large files among the supported suffixes.
+
+    Typical usage examples:
+    .. code-block:: bash
+
+        # Execute this module as a CLI entry to download large files from a bundle path:
+        python -m monai.bundle download_large_files --bundle_path <bundle_path>
+
+        # Execute this module as a CLI entry to download large files from the bundle path with a specified `large_file_name`:
+        python -m monai.bundle download_large_files --bundle_path <bundle_path> --large_file_name large_files.yaml
+
+    Args:
+        bundle_path: (Optional) The path to the bundle where the files are located. Default is `os.getcwd()`.
+        large_file_name: (Optional) The name of the large file to be downloaded.
+
+    """
+    bundle_path = os.getcwd() if bundle_path is None else bundle_path
+    if large_file_name is None:
+        large_file_path = list(Path(bundle_path).glob("large_files*"))
+        large_file_path = list(filter(lambda x: x.suffix in [".yml", ".yaml", ".json"], large_file_path))
+        if len(large_file_path) == 0:
+            raise FileNotFoundError(f"Cannot find the large_files.yml/yaml/json under {bundle_path}.")
+
+    parser = ConfigParser()
+    parser.read_config(large_file_path)
+    large_files_list = parser.get()["large_files"]
+    for lf_data in large_files_list:
+        lf_data["fuzzy"] = True
+        if "hash_val" in lf_data and lf_data.get("hash_val", "") == "":
+            lf_data.pop("hash_val")
+        if "hash_type" in lf_data and lf_data.get("hash_type", "") == "":
+            lf_data.pop("hash_type")
+        lf_data["filepath"] = os.path.join(bundle_path, lf_data["path"])
+        lf_data.pop("path")
+        download_url(**lf_data)

tests/test_bundle_download.py

@@ -71,6 +71,13 @@
     {"spatial_dims": 3, "out_channels": 5},
 ]
 
+TEST_CASE_8 = [
+    ["network.json", "test_output.pt", "test_input.pt", "large_files.yaml"],
+    "test_bundle",
+    "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/test_bundle_v0.1.2.zip",
+    {"model.pt": "27952767e2e154e3b0ee65defc5aed38", "model.ts": "97746870fe591f69ac09827175b00675"},
+]
+
 
 class TestDownload(unittest.TestCase):
     @parameterized.expand([TEST_CASE_1, TEST_CASE_2])
@@ -148,7 +155,6 @@ def test_load_weights(self, bundle_files, bundle_name, repo, device, model_file)
                     device=device,
                     return_state_dict=True,
                 )
-
                 # prepare network
                 with open(os.path.join(tempdir, bundle_name, bundle_files[2])) as f:
                     net_args = json.load(f)["network_def"]
@@ -275,5 +281,33 @@ def test_load_ts_module(self, bundle_files, bundle_name, version, repo, device,
                 self.assertTrue("network.json" in extra_file_dict.keys())
 
 
+class TestDownloadLargefiles(unittest.TestCase):
+    @parameterized.expand([TEST_CASE_8])
+    @skip_if_quick
+    def test_url_download_large_files(self, bundle_files, bundle_name, url, hash_val):
+        with skip_if_downloading_fails():
+            # download a single file from url, also use `args_file`
+            with tempfile.TemporaryDirectory() as tempdir:
+                def_args = {"name": bundle_name, "bundle_dir": tempdir, "url": ""}
+                def_args_file = os.path.join(tempdir, "def_args.json")
+                parser = ConfigParser()
+                parser.export_config_file(config=def_args, filepath=def_args_file)
+                cmd = ["coverage", "run", "-m", "monai.bundle", "download", "--args_file", def_args_file]
+                cmd += ["--url", url, "--source", "github"]
+                command_line_tests(cmd)
+                for file in bundle_files:
+                    file_path = os.path.join(tempdir, bundle_name, file)
+                    print(file_path)
+                    self.assertTrue(os.path.exists(file_path))
+
+                # download large files
+                bundle_path = os.path.join(tempdir, bundle_name)
+                cmd = ["coverage", "run", "-m", "monai.bundle", "download_large_files", "--bundle_path", bundle_path]
+                command_line_tests(cmd)
+                for file in ["model.pt", "model.ts"]:
+                    file_path = os.path.join(tempdir, bundle_name, f"models/{file}")
+                    self.assertTrue(check_hash(filepath=file_path, val=hash_val[file]))
+
+
 if __name__ == "__main__":
     unittest.main()