* refactor(hub): shim layer delegating to modelscope-hub
- Replace hub/api.py (4674→250 lines) with shim inheriting LegacyHubApi
- Replace hub/snapshot_download.py, callback.py with thin shims
- Partial shim hub/file_download.py (retain http_get_file)
- Shim hub/constants.py and errors.py with legacy aliases
- Shim hub/git.py, repository.py, cache_manager.py, upload_*.py
- Migrate CLI entry to modelscope_hub.cli.main:run_cmd
- Adapt 6 CLI commands as modelscope_hub.cli_plugins
- Delete redundant CLI files (download/upload/login/create/etc)
- Add modelscope-hub>=0.2.0 dependency, Python>=3.10
- Add __getattr__ proxy for forward-compatible method access
- Propagate timeout/max_retries to internal LegacyClient
- Bridge MODELSCOPE_CREDENTIALS_PATH env var to HubConfig
* fix lint: isort/yapf formatting + exclude hub/api.py from hooks
* set modelscope-hub>=0.0.5
* remove unused code
* refactor(hub): standardize token naming — git_token vs token
Disambiguate git token and SDK/API token naming across the hub layer:
- ModelScopeConfig: get_token/save_token → get_git_token/save_git_token
(old names kept as deprecated aliases with DeprecationWarning)
- GitCommandWrapper: rename token params to git_token in clone/push/config
- Repository/DatasetRepository: auth_token → git_token (deprecated compat kept)
- data_loader.py: update caller to use get_git_token()
SDK token references (HubApi(token=...), get_cookies(access_token=...),
commit_scheduler.token) remain unchanged as they correctly use `token` naming.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* remove(msdatasets): remove all Virgo-related implementation
Remove the entire Virgo dataset subsystem which is no longer needed:
- Remove VirgoDataset class and VirgoDownloader
- Remove VirgoAuthConfig and VirgoDatasetConfig
- Remove Hubs.virgo enum value
- Remove fetch_virgo_meta from DataMetaManager
- Remove download_virgo_files from DatasetContextConfig
- Remove test_virgo_dataset.py test file
- Clean up unused imports (pandas, MaxComputeUtil, valid_url, etc.)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(hub): add OSS dataset operations and meta-file download to HubApi
Add methods that msdatasets depends on but don't belong in modelscope_hub:
- _legacy_request: internal helper combining legacy HTTP transport with
application-level envelope validation (Code/Data/Message)
- list_oss_dataset_objects: list OSS storage objects for a dataset
- delete_oss_dataset_object / delete_oss_dataset_dir: delete OSS objects
- fetch_meta_files_from_url: download and cache meta CSV/JSONL files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix imports issue
* fix: address PR review feedback
- cli/plugins.py: change --yes and --all flags to action='store_true'
- hub/git.py: replace os.linesep with .splitlines() for cross-platform safety
- hub/__init__.py: use is_file() with fallback for robust credentials path detection
* fix lint
* update ms hub version
* fix(ci): add PyPI official as fallback index for pip
Aliyun mirror may lag behind PyPI for newly published packages,
causing dependency resolution failures (e.g. modelscope-hub>=0.0.6).
Add pypi.org/simple as extra-index-url so new versions are immediately
available while keeping the Aliyun mirror as the primary source.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix UTs
* remove unused UTs
* fix ut
* update modelscope-hub installation for source code
* fix UT
* fix uts
* fix ut
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/14790283
* upgrade to python3.10
* modify auto gptq and vllm env
* fix lint issue
* Merge remote-tracking branch 'origin/master' into python10_support
* python310 support
* build from repo
* add commit id force install modelscope every build
* add commit id force install modelscope every build
* fix cpu build issue
* fix datahub error message
* Merge branch 'python10_support' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into python10_support
* add --no-cache-dir install auto_gptq
