Francisco Schulz edbe5fa4f0 Pull request #54: Feature/MLOPS-32 update pyinfra to use pypoetry.toml
Merge in RR/pyinfra from feature/MLOPS-32-update-pyinfra-to-use-pypoetry.toml to master

* commit '37d8ee49a22ab9ee81792217404ed0a7daea65c2': (34 commits)
  add convenience command for version updates
  testing version is ahead in project
  test equal version number
  echo latest git version tag
  update tag fetching
  rollback
  testing hardcoded
  remove specific planRepository
  remove parentheses
  change project key
  add planRepositories config
  fix typo: licence -> license
  ignore bamboo YAML configs
  switch back to bamboo Java config
  update version tag manually
  remove superfulous `then`
  isolate feature/bugfix/hotfix and dev tag setting
  fix script `echo` was missing
  add version update shortcut
  show pyproject.toml file
  ...
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Infrastructure to deploy Research Projects

The Infrastructure expects to be deployed in the same Pod / local environment as the analysis container and handles all outbound communication.

Configuration

A configuration is located in /config.yaml. All relevant variables can be configured via exporting environment variables.

Environment Variable Default Description
LOGGING_LEVEL_ROOT DEBUG Logging level for service logger
PROBING_WEBSERVER_HOST "0.0.0.0" Probe webserver address
PROBING_WEBSERVER_PORT 8080 Probe webserver port
PROBING_WEBSERVER_MODE production Webserver mode: {development, production}
RABBITMQ_HOST localhost RabbitMQ host address
RABBITMQ_PORT 5672 RabbitMQ host port
RABBITMQ_USERNAME user RabbitMQ username
RABBITMQ_PASSWORD bitnami RabbitMQ password
RABBITMQ_HEARTBEAT 7200 Controls AMQP heartbeat timeout in seconds
REQUEST_QUEUE request_queue Requests to service
RESPONSE_QUEUE response_queue Responses by service
DEAD_LETTER_QUEUE dead_letter_queue Messages that failed to process
ANALYSIS_ENDPOINT "http://127.0.0.1:5000" Endpoint for analysis container
STORAGE_BACKEND s3 The type of storage to use {s3, azure}
STORAGE_BUCKET "redaction" The bucket / container to pull files specified in queue requests from
STORAGE_ENDPOINT "http://127.0.0.1:9000" Endpoint for s3 storage
STORAGE_KEY root User for s3 storage
STORAGE_SECRET password Password for s3 storage
STORAGE_AZURECONNECTIONSTRING "DefaultEndpointsProtocol=..." Connection string for Azure storage
STORAGE_AZURECONTAINERNAME "redaction" AKS container

Response Format

Expected AMQP input message:

{
   "dossierId": "",
   "fileId": "",
   "targetFileExtension": "",
   "responseFileExtension": ""
}

Optionally, the input message can contain a field with the key "operations".

AMQP output message:

{
  "dossierId": "",
  "fileId": "",
   ...
}

Setup

Install project dependencies

 make poetry

You don't have to install it independently in the project repo, just import pyinfra in any .py-file

or install form another project

poetry add git+ssh://git@git.iqser.com:2222/rr/pyinfra.git#TAG-NUMBER
Description
Infrastructure container for analysis container
Readme 3.2 MiB
Release 4.1.0 Latest
2025-01-22 12:38:26 +01:00
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Makefile 2%
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