Python Images
Includes Docker images for ML and batch operations using Python
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Includes Docker images for ML and batch operations using Python
py-dynamic:dynamic
Base container for Python based jobs, installing a given Python library and running a specific module on start-up
py-dynamic:dynamic-media
Dynamic container with additional dependencies (e.g. ffmpeg) installed for py-media operations
py-dynamic:dynamic-java
Dynamic container with JDK installed for Java dependent operations (e.g. Spark)
py-dynamic:dynamic-java-hadoop
Dynamic container with Hadoop installed for file system dependent operations
Additional versions of images are also applicable, combining media, java and hadoop (e.g. py-dynamic:dynamic-media-java-hadoop).
These images are accessible from "rierino-open" Docker repository and have the following environment variables used in their default command:
GITHUB_USER
GitHub user to use for accessing Rierino Python packages
-
GITHUB_AUTH_TOKEN
GitHub token to use for accessing Rierino Python packages
-
PY_REPO
Repository for loading main Rierino Python module
rierino-open/py-runner
PY_RIERINO_VERSION
Version of main Rierino Python module to load
0.1.1
PY_SCRIPT
Additional script to execute (e.g. for loading extra libraries)
/app/config/script.sh
PY_MAIN_MODULE
Main module & arguments to pas on to main Rierino Python module for execution
rierino_util.Runner --base64 XXX
These environment variables are configured through Helm Chart parameters when the image is deployed using Batch Charts.
py-loader:loader
Base container for Python based deployment assets loader, used during initial installations and version upgrades
py-loader:loader-core-train
Loader container with core and training deployment assets pre-downloaded
These images are accessible from "rierino-open" Docker repository and are typically used with Helm Charts during installation and version upgrades.
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