Files
modelscope/docker/Dockerfile.ubuntu
Xingjun.Wang 50f8d37bc9 [Feat & Refactor] Refactor hub and CLI modules (#1732)
* 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>
2026-06-09 20:00:20 +08:00

96 lines
4.8 KiB
Docker

FROM {base_image}
ARG DEBIAN_FRONTEND=noninteractive
ENV TZ=Asia/Shanghai
ENV arch=x86_64
COPY docker/scripts/modelscope_env_init.sh /usr/local/bin/ms_env_init.sh
RUN apt-get update && \
apt-get install -y libsox-dev unzip libaio-dev zip iputils-ping telnet sudo git net-tools zstd libzstd-dev && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
{extra_content}
COPY {meta_file} /tmp/install.sh
ARG INSTALL_MS_DEPS={install_ms_deps}
ARG IMAGE_TYPE={image_type}
# install dependencies
COPY requirements /var/modelscope
RUN pip uninstall ms-swift modelscope -y && pip --no-cache-dir install pip==23.* -U && \
if [ "$INSTALL_MS_DEPS" = "True" ]; then \
pip --no-cache-dir install omegaconf==2.0.6 && \
pip install 'editdistance==0.8.1' && \
pip install --no-cache-dir 'cython<=0.29.36' versioneer 'numpy<2.0' && \
pip install --no-cache-dir -r /var/modelscope/framework.txt && \
pip install --no-cache-dir -r /var/modelscope/audio.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
pip install --no-cache-dir -r /var/modelscope/tests.txt && \
pip install --no-cache-dir -r /var/modelscope/server.txt && \
pip install --no-cache-dir https://modelscope.oss-cn-beijing.aliyuncs.com/packages/imageio_ffmpeg-0.4.9-py3-none-any.whl --no-dependencies --force && \
pip install --no-cache-dir 'scipy<1.13.0' && \
pip install --no-cache-dir funtextprocessing typeguard==2.13.3 scikit-learn -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
pip install --no-cache-dir 'decord>=0.6.0' mpi4py paint_ldm ipykernel fasttext -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
pip install --no-cache-dir 'blobfile>=1.0.5' && \
pip uninstall MinDAEC -y && \
pip install https://modelscope.oss-cn-beijing.aliyuncs.com/releases/dependencies/MinDAEC-0.0.2-py3-none-any.whl && \
pip cache purge; \
else \
pip install --no-cache-dir -r /var/modelscope/framework.txt && \
pip cache purge; \
fi
ARG CUR_TIME={cur_time}
RUN echo $CUR_TIME
RUN bash /tmp/install.sh {version_args} && \
pip install --no-cache-dir -U funasr scikit-learn && \
pip install --no-cache-dir -U qwen_vl_utils qwen_omni_utils librosa timm transformers accelerate peft trl safetensors && \
cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {swift_branch} --single-branch https://github.com/modelscope/ms-swift.git && \
cd ms-swift && pip install .[llm] && \
pip install .[eval] && pip install evalscope -U --no-dependencies && pip install ms-agent -U --no-dependencies && \
cd / && rm -fr /tmp/ms-swift && pip cache purge; \
cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {modelscope_branch} --single-branch https://github.com/modelscope/modelscope.git && \
cd modelscope && pip install . -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
cd / && rm -fr /tmp/modelscope && pip cache purge; \
pip install --no-cache-dir torch=={torch_version} torchvision=={torchvision_version} torchaudio=={torchaudio_version} {index_url} && \
pip install --no-cache-dir transformers diffusers 'timm>=0.9.0' && pip cache purge; \
pip install --no-cache-dir omegaconf==2.3.0 && pip cache purge; \
pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
pip config set global.extra-index-url https://pypi.org/simple && \
pip config set install.trusted-host mirrors.aliyun.com && \
cp /tmp/resources/ubuntu2204.aliyun /etc/apt/sources.list
RUN if [ "$IMAGE_TYPE" = "gpu" ]; then \
pip install --no-cache-dir math_verify "gradio<5.33" "deepspeed<0.18" ray -U && \
pip install --no-cache-dir liger_kernel wandb swanlab nvitop pre-commit "transformers" "trl<0.25" "peft<0.18" huggingface-hub -U && \
pip install --no-cache-dir --no-build-isolation transformer_engine[pytorch]; \
cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/NVIDIA/apex && \
cd apex && pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./ && \
cd / && rm -fr /tmp/apex && pip cache purge; \
pip install --no-cache-dir "megatron-core==0.15.*"; \
pip uninstall autoawq -y; \
elif [ "$IMAGE_TYPE" = "cpu" ]; then \
pip install --no-cache-dir huggingface-hub transformers peft diffusers -U; \
else \
pip install "transformers<5.0" "tokenizers<0.22" "trl<0.23" "diffusers<0.35" --no-dependencies; \
fi
# install nvm and set node version to 18
ENV NVM_DIR=/root/.nvm
RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash && \
. $NVM_DIR/nvm.sh && \
nvm install 22 && \
nvm use 22
RUN rm -f /etc/apt/sources.list.d/cuda-*.list && apt-get update
ENV VLLM_USE_MODELSCOPE=True
ENV LMDEPLOY_USE_MODELSCOPE=True
ENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope/hub
SHELL ["/bin/bash", "-c"]