eosvc 0.1.3

EOSVC (Ersilia Version Control) is a Python-based tool designed to unify code versioning with data and result management by combining Git and S3 workflows around the main branch.

EOSVC (Ersilia Version Control)

EOSVC is a small CLI for syncing large artifacts to S3, while your code remains in Git.

EOSVC supports two repo types (detected from access.json):

• Standard repos: manage data/ and output/
• Model repos: manage model/checkpoints/ and model/fit/

EOSVC does not manage Git operations anymore (no clone/pull/push). Use git directly for code workflows.

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What EOSVC stores where

EOSVC syncs artifacts under an S3 prefix equal to the repo name.

By default, the repo name is the local folder name (repo directory basename).
If your folder name differs from the remote repo/S3 prefix, set:

export EVC_REPO_NAME="my-actual-repo-name"

Standard repos

Managed roots:

• data/
• output/

S3 mapping for repo ersilia-repo:

• s3://<bucket>/ersilia-repo/data/...
• s3://<bucket>/ersilia-repo/output/...

Model repos

Managed roots:

• model/checkpoints/
• model/fit/

Accepted path aliases for convenience:

• checkpoints/... → model/checkpoints/...
• fit/... → model/fit/...

S3 mapping for repo my-model-repo:

• s3://<bucket>/my-model-repo/model/checkpoints/...
• s3://<bucket>/my-model-repo/model/fit/...

In model repos, EOSVC refuses operations on data/ and output/.

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Buckets and access

Buckets:

• Public bucket: eosvc-public
• Private bucket: eosvc-private

Rules:

• Read from eosvc-public may work without AWS credentials (unsigned S3 client).
• Read from eosvc-private requires AWS credentials.
• Any upload requires AWS credentials, regardless of bucket.

Note: For unauthenticated reads to work, the eosvc-public bucket policy must allow s3:GetObject. For unauthenticated view to work, it must also allow s3:ListBucket constrained to the relevant prefixes.

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Installation

pip install -e .

eosvc --help

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Credentials

EOSVC resolves credentials in this order:

1. Standard AWS resolution (environment variables and/or ~/.aws/* if present)

2. .env files (loaded with python-dotenv) from:

   • ~/.eosvc/.env
   • <repo>/.env
   • ./.env

Option A: environment variables (standard AWS)

export AWS_ACCESS_KEY_ID="..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_SESSION_TOKEN="..."   # optional
export AWS_REGION="eu-central-2"     # optional

Option B: EOSVC config (writes ~/.eosvc/.env)

EOSVC provides a config command to store credentials in:

• ~/.eosvc/.env (permissions set to 600 when possible)

eosvc config \
  --access-key-id "..." \
  --secret-access-key "..." \
  --session-token "..." \
  --region "eu-central-2"

This is similar in spirit to aws configure, but EOSVC writes a .env file and loads it alongside other sources.

Option C: local .env files

Create .env in the repo (or current directory):

AWS_ACCESS_KEY_ID="..."
AWS_SECRET_ACCESS_KEY="..."
AWS_SESSION_TOKEN="..."   # optional
AWS_REGION="eu-central-2"    # optional

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access.json (required)

EOSVC requires an access.json at the repo root. EOSVC identifies the repo root by searching upward for access.json starting from the current directory.

Standard repo access.json

{
  "data": "public",
  "output": "private"
}

Model repo access.json

{
  "checkpoints": "public",
  "fit": "public"
}

Valid values are: "public" or "private".

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Commands

config

Write AWS credentials to ~/.eosvc/.env:

eosvc config --access-key-id "..." --secret-access-key "..."

Optional flags:

eosvc config \
  --access-key-id "..." \
  --secret-access-key "..." \
  --session-token "..." \
  --region "eu-central-2" \
  --default-region "eu-central-2"

view (S3 tree)

View the artifact layout in S3:

eosvc view
eosvc view --path data
eosvc view --path output
eosvc view --path model/checkpoints
eosvc view --path checkpoints
eosvc view --path fit

download

Download a file or folder from S3 into your repo:

eosvc download --path data/processed/file.csv
eosvc download --path output/
eosvc download --path model/checkpoints/
eosvc download --path checkpoints/
eosvc download --path fit/

upload

Upload a file or folder to S3 (requires credentials):

eosvc upload --path output/some_folder
eosvc upload --path data/test
eosvc upload --path model/checkpoints/test-run
eosvc upload --path checkpoints/test-run
eosvc upload --path fit/test-fit

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Quick Test

From the project root:

cd tests
chmod +x test.sh
./test.sh

The test script:

• uses git clone to obtain test repos
• runs view, upload, and download for both model and standard repos

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Access lock (no public/private migration)

EOSVC creates a local lock file:

• .eosvc/access.lock.json

If you later change access.json (e.g., public → private), EOSVC will refuse to run.

To override (not recommended), delete the lock file manually:

rm .eosvc/access.lock.json

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Common troubleshooting

“AccessDenied” when reading eosvc-public without creds

Your bucket policy probably does not allow anonymous access for the prefixes EOSVC uses.

If you want unauthenticated download to work:

• allow s3:GetObject on arn:aws:s3:::eosvc-public/*

If you want unauthenticated view to work:

• also allow s3:ListBucket on arn:aws:s3:::eosvc-public
• restrict with s3:prefix conditions for your repo prefixes

“AWS credentials are missing or invalid”

Provide credentials via:

• env vars, or
• eosvc config (writes ~/.eosvc/.env), or
• a .env file in the repo/current directory

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About the Ersilia Open Source Initiative

The Ersilia Open Source Initiative is a tech-nonprofit organization fueling sustainable research in the Global South. Ersilia's main asset is the Ersilia Model Hub, an open-source repository of AI/ML models for antimicrobial drug discovery.