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  Config Reader (Python)

Quality Assurance Publish (pypi)

This library provides a streamlined and easy to use way to interact with a environment. It offers utility methods to access routes and relationships more cleanly than reading the raw environment variables yourself.

This library requires Python 3.5 or later.


pip install platformshconfig

Usage Example


import sys
import pysolr

from platformshconfig import Config

config = Config()

if not config.is_valid_platform():
    sys.exit("Not in a Environment.")
credentials = config.credentials('solr')

formatted = config.formatted_credentials('solr', 'pysolr')

conn = pysolr.Solr(formatted)

# Do stuff with the conn here.

API Reference

Create a config object

from platformshconfig import Config

config = Config()

config is now a Config object that provides access to the environment.

The is_valid_platform() method returns True if the code is running in a context that has environment variables defined. If it returns False then most other functions will throw exceptions if used.

Inspect the environment

The following methods return True or False to help determine in what context the code is running:





Note: will no longer refer to its 99.99% uptime SLA product as "Enterprise", but rather as "Dedicated". Configuration Reader libraries have in turn been updated to include an on_dedicated method to replace on_enterprise. For now on_enterprise remains available. It now calls the new method and no breaking changes have been introduced.

It is recommended that you update your projects to use on_dedicated as soon as possible, as on_enterprise will be removed in a future version of this library.

Read environment variables

The following magic properties return the corresponding environment variable value. See the documentation for a description of each.

The following are available both in Build and at Runtime:






The following are available only if in_runtime() returned True:







Reading service credentials services are defined in a services.yaml file, and exposed to an application by listing a relationship to that service in the application's file. User, password, host, etc. information is then exposed to the running application in the PLATFORM_RELATIONSHIPS environment variable, which is a base64-encoded JSON string. The following method allows easier access to credential information than decoding the environment variable yourself.

creds = config.credentials('database')

The return value of credentials() is a dictionary matching the relationship JSON object, which includes the appropriate user, password, host, database name, and other pertinent information. See the Service documentation for your service for the exact structure and meaning of each property. In most cases that information can be passed directly to whatever other client library is being used to connect to the service.

Formatting service credentials

In some cases the library being used to connect to a service wants its credentials formatted in a specific way; it could be a DSN string of some sort or it needs certain values concatenated to the database name, etc. For those cases you can use "Credential Formatters". A Credential Formatter is any callable (function, anonymous function, object method, etc.) that takes a credentials array and returns any type, since the library may want different types.

Credential Formatters can be registered on the configuration object, and a few are included out of the box. That allows 3rd party libraries to ship their own formatters that can be easily integrated into the Config object to allow easier use.

def format_my_service(credentials):
    return "some string based on 'credentials'."

# Call this in setup
config.register_formatter('my_service', format_my_service)

# Then call this method to get the formatted version
formatted = config.formatted_credentials('database', 'my_service')

The first parameter is the name of a relationship defined in The second is a formatter that was previously registered with register_formatter(). If either the service or formatter is missing an exception will be thrown. The type of formatted will depend on the formatter function and can be safely passed directly to the client library.

Three formatters are included out of the box:

  • pymongo returns a DSN appropriate for using pymongo to connect to MongoDB. Note that pymongo will still need the username and password from the credentials dictionary passed as separate parameters.
  • pysolr returns a DSN appropriate for using pysolr to connect to Apache Solr.
  • postgresql_dsn returns a DSN appropriate for postgresql connection.

Reading variables allows you to define arbitrary variables that may be available at build time, runtime, or both. They are stored in the PLATFORM_VARIABLES environment variable, which is a base64-encoded JSON string.

The following two methods allow access to those values from your code without having to bother decoding the values yourself:


This method returns a dictionary of all variables defined. Usually this method is not necessary and config.variable() is preferred.

config.variable("foo", "default")

This method looks for the "foo" variable. If found, it is returned. If not, the optional second parameter is returned as a default.

Reading Routes

Routes on define how a project will handle incoming requests; that primarily means what application container will serve the request, but it also includes cache configuration, TLS settings, etc. Routes may also have an optional ID, which is the preferred way to access them.


The get_route() method takes a single string for the route ID ("main" in this case) and returns the corresponding route array. If the route is not found it will throw an exception.

To access all routes, or to search for a route that has no ID, the routes() method returns an dictionary of routes keyed by their URL. That mirrors the structure of the PLATFORM_ROUTES environment variable.

If called in the build phase an exception is thrown.