Feat/collections (#1656)

modelscope/cli/cli.py

@@ -13,6 +13,7 @@ from modelscope.cli.pipeline import PipelineCMD
 from modelscope.cli.plugins import PluginsCMD
 from modelscope.cli.scancache import ScanCacheCMD
 from modelscope.cli.server import ServerCMD
+from modelscope.cli.skills import SkillsCMD
 from modelscope.cli.upload import UploadCMD
 from modelscope.hub.constants import MODELSCOPE_ASCII
 from modelscope.utils.logger import get_logger
@@ -36,6 +37,7 @@ def run_cmd():
 
     CreateCMD.define_args(subparsers)
     DownloadCMD.define_args(subparsers)
+    SkillsCMD.define_args(subparsers)
     UploadCMD.define_args(subparsers)
     ClearCacheCMD.define_args(subparsers)
     PluginsCMD.define_args(subparsers)

modelscope/cli/download.py

@@ -1,16 +1,20 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
-import os
+import logging
 from argparse import ArgumentParser
 
 from modelscope.cli.base import CLICommand
+from modelscope.cli.utils import concurrent_download
 from modelscope.hub.api import HubApi
-from modelscope.hub.constants import DEFAULT_MAX_WORKERS
+from modelscope.hub.constants import DEFAULT_MAX_WORKERS, DEFAULT_SKILLS_DIR
 from modelscope.hub.file_download import (dataset_file_download,
                                           model_file_download)
 from modelscope.hub.snapshot_download import (dataset_snapshot_download,
                                               snapshot_download)
 from modelscope.hub.utils.utils import convert_patterns
 from modelscope.utils.constant import DEFAULT_DATASET_REVISION
+from modelscope.utils.logger import get_logger
+
+logger = get_logger(log_level=logging.WARNING)
 
 
 def subparser_func(args):
@@ -41,6 +45,11 @@ class DownloadCMD(CLICommand):
             type=str,
             help='The id of the dataset to be downloaded. For download, '
             'the id of either a model or dataset must be provided.')
+        group.add_argument(
+            '--collection',
+            type=str,
+            default=None,
+            help='The ID of the collection to download (skills only)')
         parser.add_argument(
             'repo_id',
             type=str,
@@ -122,8 +131,8 @@ class DownloadCMD(CLICommand):
                 else:
                     raise Exception('Not support repo-type: %s'
                                     % self.args.repo_type)
-        if not self.args.model and not self.args.dataset:
-            raise Exception('Model or dataset must be set.')
+        if not self.args.model and not self.args.dataset and not self.args.collection:
+            raise Exception('Model, dataset, or collection must be set.')
         cookies = None
         if self.args.token is not None:
             api = HubApi()
@@ -191,5 +200,54 @@ class DownloadCMD(CLICommand):
             print(
                 f'\nSuccessfully Downloaded from dataset {self.args.dataset}.\n'
             )
+        elif self.args.collection:
+            api = HubApi(token=self.args.token)
+            local_dir = self.args.local_dir or DEFAULT_SKILLS_DIR
+            data = api.get_collection(self.args.collection, repo_type='skill')
+            elements = data.get('CollectionElements',
+                                {}).get('CollectionElementVoList', [])
+
+            logger.info(
+                f'Collection {self.args.collection} has {len(elements)} elements.'
+            )
+
+            if not elements:
+                print(f'No skill elements found in collection: '
+                      f'{self.args.collection}')
+                return
+
+            # Validate elements have required fields
+            valid_elements = []
+            for elem in elements:
+                if not elem.get('ElementPath') or not elem.get('ElementName'):
+                    logger.warning('Skipping malformed collection element: %s',
+                                   elem)
+                    continue
+                valid_elements.append(elem)
+
+            if not valid_elements:
+                print(f'No valid skill elements found in collection: '
+                      f'{self.args.collection}')
+                return
+
+            print(f'Found {len(valid_elements)} skill(s) in collection, '
+                  f'downloading...')
+
+            def _download_one_skill(element):
+                element_path = element['ElementPath']
+                element_name = element['ElementName']
+                skill_id = f'{element_path}/{element_name}'
+                try:
+                    skill_dir = api.download_skill(
+                        skill_id=skill_id, local_dir=local_dir)
+                    return (skill_id, skill_dir, None)
+                except Exception as e:
+                    return (skill_id, None, str(e))
+
+            concurrent_download(
+                _download_one_skill,
+                valid_elements,
+                max_workers=self.args.max_workers,
+                item_name='skill')
         else:
             pass  # noop

modelscope/cli/skills.py

@@ -0,0 +1,100 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import logging
+import sys
+from argparse import ArgumentParser
+
+from modelscope.cli.base import CLICommand
+from modelscope.cli.utils import concurrent_download
+from modelscope.hub.api import HubApi
+from modelscope.hub.constants import DEFAULT_SKILLS_DIR
+from modelscope.utils.logger import get_logger
+
+logger = get_logger(log_level=logging.WARNING)
+
+
+def subparser_func(args):
+    """Function which will be called for a specific sub parser."""
+    return SkillsCMD(args)
+
+
+class SkillsCMD(CLICommand):
+    """Command for managing skills."""
+
+    name = 'skills'
+
+    def __init__(self, args):
+        self.args = args
+
+    @staticmethod
+    def define_args(parsers: ArgumentParser):
+        """Define args for skills command."""
+        parser = parsers.add_parser(SkillsCMD.name)
+        subparsers = parser.add_subparsers(
+            dest='skills_action', help='skills subcommands')
+
+        # 'add' subcommand
+        add_parser = subparsers.add_parser(
+            'add', help='Download and install skills')
+        add_parser.add_argument(
+            'skill_ids',
+            type=str,
+            nargs='+',
+            help='Skill IDs to download, in format: <path>/<name>')
+        add_parser.add_argument(
+            '--token',
+            type=str,
+            default=None,
+            help='Access token for authentication')
+        add_parser.add_argument(
+            '--local_dir',
+            type=str,
+            default=None,
+            help='Target directory for skills (default: ~/.agents/skills)')
+        add_parser.add_argument(
+            '--max-workers',
+            type=int,
+            default=8,
+            help='Maximum concurrent downloads (default: 8)')
+        add_parser.set_defaults(func=subparser_func)
+
+    def execute(self):
+        if not hasattr(self.args,
+                       'skills_action') or not self.args.skills_action:
+            print('Usage: modelscope skills add <skill_id1> <skill_id2> ...')
+            return
+
+        if not hasattr(self.args, 'skill_ids') or not self.args.skill_ids:
+            print('No skill IDs provided. Usage: modelscope skills add '
+                  '<skill_id1> <skill_id2> ...')
+            return
+
+        api = HubApi(token=self.args.token)
+        local_dir = self.args.local_dir or DEFAULT_SKILLS_DIR
+
+        skill_ids = self.args.skill_ids
+        print(f'Downloading {len(skill_ids)} skill(s)...')
+
+        if len(skill_ids) == 1:
+            # Single skill download
+            try:
+                skill_dir = api.download_skill(
+                    skill_id=skill_ids[0], local_dir=local_dir)
+                print(f'Skill downloaded to: {skill_dir}')
+            except Exception as e:
+                print(f'Failed to download skill {skill_ids[0]}: {e}')
+                sys.exit(1)
+        else:
+            # Multiple skills - concurrent download
+            def _download_one(skill_id):
+                try:
+                    skill_dir = api.download_skill(
+                        skill_id=skill_id, local_dir=local_dir)
+                    return (skill_id, skill_dir, None)
+                except Exception as e:
+                    return (skill_id, None, str(e))
+
+            concurrent_download(
+                _download_one,
+                skill_ids,
+                max_workers=self.args.max_workers,
+                item_name='skill')

modelscope/cli/utils.py

@@ -0,0 +1,41 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import sys
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+
+def concurrent_download(download_fn, items, max_workers=8, item_name='item'):
+    """Download multiple items concurrently with progress reporting.
+
+    Args:
+        download_fn: Callable that takes an item and returns
+            (identifier, result_path, error_string_or_None).
+        items: List of items to download.
+        max_workers (int): Maximum concurrent workers.
+        item_name (str): Display name for the item type.
+
+    Returns:
+        tuple: (succeeded_list, failed_list).
+    """
+    succeeded = []
+    failed = []
+
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+        futures = {executor.submit(download_fn, item): item for item in items}
+        for future in as_completed(futures):
+            identifier, result_path, error = future.result()
+            if error:
+                failed.append((identifier, error))
+                print(f'Failed to download {item_name} {identifier}: {error}')
+            else:
+                succeeded.append((identifier, result_path))
+                print(f'Downloaded {item_name} {identifier} -> {result_path}')
+
+    print(f'\nDownload complete: {len(succeeded)} succeeded, '
+          f'{len(failed)} failed')
+    if failed:
+        print(f'Failed {item_name}s:')
+        for identifier, error in failed:
+            print(f'  {identifier}: {error}')
+        sys.exit(1)
+
+    return succeeded, failed

modelscope/hub/api.py

@@ -13,6 +13,7 @@ import shutil
 import tempfile
 import uuid
 import warnings
+import zipfile
 from collections import defaultdict
 from http import HTTPStatus
 from http.cookiejar import CookieJar
@@ -3043,6 +3044,111 @@ class HubApi:
 
         return resp
 
+    # ============= Collection API =============
+    def get_collection(self,
+                       collection_id: str,
+                       repo_type: str = 'skill',
+                       page_number: int = 1,
+                       page_size: int = 50) -> dict:
+        """Get collection details and its elements.
+
+        Args:
+            collection_id (str): The collection ID (Fid).
+            repo_type (str): Element type filter, only 'skill' is supported currently.
+            page_number (int): Page number for pagination.
+            page_size (int): Page size for pagination.
+
+        Returns:
+            dict: Collection details including elements.
+
+        Raises:
+            ValueError: If repo_type is not 'skill'.
+            RequestError: If the API request fails.
+        """
+        if repo_type != 'skill':
+            raise ValueError(
+                f'repo_type={repo_type} is not supported, '
+                'only "skill" is currently supported.')
+        cookies = self.get_cookies()
+        path = f'{self.endpoint}/api/v1/collections'
+        params = {
+            'Fid': collection_id,
+            'ElementType': repo_type,
+            'PageNumber': page_number,
+            'PageSize': page_size,
+        }
+        r = self.session.get(path, params=params, cookies=cookies,
+                             headers=self.builder_headers(self.headers))
+        raise_for_http_status(r)
+        d = r.json()
+        raise_on_error(d)
+        return d[API_RESPONSE_FIELD_DATA]
+
+    def download_skill(self, skill_id: str,
+                       local_dir: Optional[str] = None) -> str:
+        """Download a single skill archive and extract it.
+
+        Args:
+            skill_id (str): The skill identifier in format '<path>/<name>'.
+            local_dir (Optional[str]): Target directory for extraction.
+                Defaults to current directory.
+
+        Returns:
+            str: Path to the extracted skill directory.
+
+        Raises:
+            ValueError: If skill_id format is invalid.
+            RequestError: If the download request fails.
+        """
+        element_path, element_name = RepoUtils.validate_repo_id(skill_id)
+
+        cookies = self.get_cookies()
+        url = f'{self.endpoint}/api/v1/skills/{element_path}/{element_name}/archive/zip/master'
+
+        if local_dir is None:
+            local_dir = os.getcwd()
+        os.makedirs(local_dir, exist_ok=True)
+
+        # Build skill directory name: <element_path>__<element_name>__master
+        skill_dir_name = f'{element_path}__{element_name}__master'
+        skill_dir = os.path.join(local_dir, skill_dir_name)
+
+        r = self.session.get(url, stream=True, cookies=cookies,
+                             headers=self.builder_headers(self.headers))
+        raise_for_http_status(r)
+
+        # Save to temp zip file then extract
+        zip_path = os.path.join(local_dir, f'{element_name}.zip')
+        try:
+            with open(zip_path, 'wb') as f:
+                for chunk in r.iter_content(chunk_size=8192):
+                    if chunk:
+                        f.write(chunk)
+
+            # Clean existing directory to avoid corrupted state
+            if os.path.exists(skill_dir):
+                shutil.rmtree(skill_dir)
+            os.makedirs(skill_dir, exist_ok=True)
+            with zipfile.ZipFile(zip_path, 'r') as zf:
+                zf.extractall(skill_dir)
+
+            # Flatten if zip contains a single top-level directory
+            entries = os.listdir(skill_dir)
+            if len(entries) == 1:
+                nested_dir = os.path.join(skill_dir, entries[0])
+                if os.path.isdir(nested_dir):
+                    for item in os.listdir(nested_dir):
+                        shutil.move(
+                            os.path.join(nested_dir, item),
+                            os.path.join(skill_dir, item))
+                    os.rmdir(nested_dir)
+        finally:
+            if os.path.exists(zip_path):
+                os.remove(zip_path)
+
+        logger.info(f'Skill {element_path}/{element_name} downloaded to {skill_dir}')
+        return skill_dir
+
 
 class ModelScopeConfig:
     path_credential = expanduser(MODELSCOPE_CREDENTIALS_PATH)

modelscope/hub/constants.py

@@ -41,6 +41,7 @@ TEMPORARY_FOLDER_NAME = '._____temp'
 DEFAULT_MAX_WORKERS = int(
     os.getenv('DEFAULT_MAX_WORKERS', min(8,
                                          os.cpu_count() + 4)))
+DEFAULT_SKILLS_DIR = os.path.join(os.path.expanduser('~'), '.agents', 'skills')
 
 # Upload check env
 UPLOAD_MAX_FILE_SIZE = int(

modelscope/utils/repo_utils.py

@@ -219,6 +219,28 @@ class RepoUtils:
             return pattern + '*'
         return pattern
 
+    @staticmethod
+    def validate_repo_id(repo_id: str) -> tuple:
+        """Validate and parse a repo_id in '<owner>/<name>' format.
+
+        Args:
+            repo_id (str): The repo identifier, e.g. 'MiniMax-AI/minimax-pdf'.
+
+        Returns:
+            tuple: A tuple of (owner, name).
+
+        Raises:
+            ValueError: If repo_id format is invalid.
+        """
+        if not repo_id or '/' not in repo_id:
+            raise ValueError(
+                f'Invalid repo_id: {repo_id}, expected format: <owner>/<name>')
+        parts = repo_id.split('/', 1)
+        if len(parts) != 2 or not parts[0].strip() or not parts[1].strip():
+            raise ValueError(
+                f'Invalid repo_id: {repo_id}, expected format: <owner>/<name>')
+        return parts[0].strip(), parts[1].strip()
+
 
 @dataclass
 class CommitInfo:

pyproject.toml

@@ -25,6 +25,7 @@ Homepage = "https://github.com/modelscope/modelscope"
 
 [project.scripts]
 modelscope = "modelscope.cli.cli:run_cmd"
+ms = "modelscope.cli.cli:run_cmd"
 
 [build-system]
 requires = ["setuptools>=69", "wheel"]