Skip to main content

No project description provided

Project description

surf-archiver

The surf-archiver tool consists of two components:

  1. a CLI tool
  2. a remote client which can execute CLI installed on a remote machine

The CLI tool copies daily data from S3 supported storage, bundling it into a per experiment per day tar archives. Once completed it emits a message via RabbitMQ. The intended use case is for the CLI tool to installed on the Surf Data Archive and remotely triggered daily.

The tool copies data based on the S3 key. It is assumed that the keys have the following structure:

<SRC BUCKET>/<images|videos>/<EXPERIMENT-ID>/YYYYMMDD/*.tar

The resulting archive will be created at:

<DATA DIR>/<images|videos>/<EXPERIMENT-ID>/YYYY-MM-DD.tar

Installation of the CLI tool

The CLI tool can be installed via pipx.

In order to run the tool needs some configuration. It can be configured by via a yaml file:

bucket:             # S3 bucket data is pulled from
target_dir:         # Target directory data is stored in       
connction_url:      # RabbitMQ connection url
exchange_name:      # RabbitMQ Exchange name
log_file:           # log file path

By default the tool will look for this configuration in the ${HOME}/.surf-archiver. The tool will additionally look for these parameters in the shell environment. If they are defined here, they need to be prefixed by surf_archiver_.

In addition to the above, the following environment variables need to be set in order to connect to S3.

AWS_SECRET_KEY_ID=
AWS_ACCESS_KEY_ID=
AWS_ENDPOINT_URL=

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

surf_archiver-0.1.4.tar.gz (8.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

surf_archiver-0.1.4-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file surf_archiver-0.1.4.tar.gz.

File metadata

  • Download URL: surf_archiver-0.1.4.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1018-azure

File hashes

Hashes for surf_archiver-0.1.4.tar.gz
Algorithm Hash digest
SHA256 331f013762ce49386912967bb8034131c36f552e40c2475b63397ed0b0e2946f
MD5 478a103777b4e7a1ff92217a70936aa8
BLAKE2b-256 29d51d115eb6f0ea66c84460de9ad98d404081b3edf5674729307e97c385c11f

See more details on using hashes here.

File details

Details for the file surf_archiver-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: surf_archiver-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1018-azure

File hashes

Hashes for surf_archiver-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 0489e018db77b1f37d7dc5453cac8be2823de0668f3944d48ea38391c003e3f3
MD5 f46a62f550ba6d08fe5b2afaa2b46520
BLAKE2b-256 6a37b130f0b5ba4fbd2a5a0f449fdb38cc3dd5ec17fb70df62456b8d63307a1f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page