### Install pypiserver-backend-s3

Source: https://github.com/estheruary/pypiserver-backend-s3/blob/main/README.md

Installs the pypiserver-backend-s3 package along with its dependencies, pypiserver-pluggable-backends and pypiserver. This command is used to set up the necessary components for using the S3 backend.

```bash
pip install pypiserver-pluggable-backends pypiserver-backend-s3
```

--------------------------------

### Build and Upload Packages

Source: https://github.com/estheruary/pypiserver-backend-s3/blob/main/README.md

Demonstrates the process of building Python packages using 'build' and uploading them to a locally running pypiserver instance using 'twine'. It also shows how to install packages from the local pypiserver.

```bash
# In this repo.
python -m build
twine upload --repository-url http://localhost:8080/ dist/*

pip install pypiserver-backend-s3 --extra-index-url=http://localhost:8080
```

--------------------------------

### Run pypiserver with S3 backend (AWS)

Source: https://github.com/estheruary/pypiserver-backend-s3/blob/main/README.md

Starts the pypiserver with the S3 backend, specifying the S3 bucket name and an optional prefix for package storage. AWS credentials can be provided via environment variables or directly as command-line arguments.

```bash
export AWS_ACCESS_KEY=""
export AWS_SECRET_ACCESS_KEY=""

pypi-server run --backend=s3 --backend-set bucket=mybucketname prefix=pypiserver
```

```bash
pypi-server run --backend=s3 \
  --backend-set \
    bucket=mybucketname \
    prefix=pypiserver \
    access_key="" \
    secret_access_key=""
```

--------------------------------

### Run pypiserver with aws-vault

Source: https://github.com/estheruary/pypiserver-backend-s3/blob/main/README.md

Executes the pypiserver using 'aws-vault' to manage AWS credentials, specifying the S3 backend, bucket, and prefix. It also includes commands to check available packages and download them.

```bash
aws-vault exec myprofile -- pypi-server run -P . -a . --backend=s3 --backend-set bucket=mybucket prefix=myprefix

curl http://localhost:8080/packages/
```

--------------------------------

### Run pypiserver with S3 backend (Backblaze B2)

Source: https://github.com/estheruary/pypiserver-backend-s3/blob/main/README.md

Configures and runs pypiserver using the S3 backend, specifically for Backblaze B2 storage. It requires setting the bucket name, prefix, Backblaze key ID, application key, and the S3 endpoint URL for B2.

```bash
pypi-server run --backend=s3 \
  --backend-set \
    bucket=mybucketname \
    prefix=pypiserver \
    access_key="<b2_keyId>" \
    secret_access_key="<b2_appKey>"
    endpoint="https://s3.us-west-002.backblazeb2.com"
```

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