Commit ·
7ed77a6
1
Parent(s): 75fb4ca
Upload test_data.txt to tests/test_data.txt
Browse files- tests/test_data.txt +52 -0
tests/test_data.txt
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# data_transfer
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A Python tool to upload files and directories to cloud backends with a focus on speed and simplicity.
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Supported backends:
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- Hugging Face Hub
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- Google Drive
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Features:
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- Simple CLI and Python API
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- Resumable, chunked uploads
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- Parallel transfer where supported
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- Credential storage via file store at `~/.config/data_transfer/credentials.json` (macOS & Linux)
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- Configurable data root (default `./data`) and remote paths/filenames
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- Timing summary with `-v`
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## Quickstart
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1. Install
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```bash
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pip install -e .
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```
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2. Configure credentials
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```bash
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# For Hugging Face
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data-transfer auth hf
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# For Google Drive (opens browser for OAuth once)
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# Optionally specify path to client_secrets.json
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# export GDRIVE_CLIENT_SECRETS=/path/to/client_secrets.json
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data-transfer auth gdrive
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```
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3. Upload
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```bash
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# Upload a single file to Hugging Face Hub repo under path `datasets/mydir/file.bin`
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# By default source is resolved under ./data; override with --data-root
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data-transfer upload --backend hf --source test.pt --remote datasets/mydir/file.bin --repo your-username/your-repo --create-repo -v
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# Upload directory recursively to Google Drive under a folder id
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# Remote path supports nested folders; will be created on demand under the given folder id
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# Use --workers to speed up parallel uploads
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data-transfer upload --backend gdrive --source ./myfolder --remote nested1/nested2 --parent-id <FOLDER_ID> --workers 8 -v
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```
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See `data_transfer/config.example.toml` for optional defaults.
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