Kubernetes Service Binding Library for Python Applications
Project description
pyservicebinding
Kubernetes Service Binding Library for Python Applications
The Service Binding Specification for Kubernetes standardizes exposing
backing service secrets to applications. This project provides a Python module
to consume the bindings projected into the container. The Application
Projection section of the spec describes how the
bindings are projected into the application. The primary mechanism of
projection is through files mounted at a specific directory. The bindings
directory path can be discovered through SERVICE_BINDING_ROOT
environment
variable. The operator must have injected SERVICE_BINDING_ROOT
environment to
all the containers where bindings are created.
Within this service binding root directory, there could be multiple bindings projected from different Service Bindings. For example, suppose an application requires to connect to a database and cache server. In that case, one Service Binding can provide the database, and the other Service Binding can offer bindings to the cache server.
Let's take a look at the example given in the spec:
$SERVICE_BINDING_ROOT
├── account-database
│ ├── type
│ ├── provider
│ ├── uri
│ ├── username
│ └── password
└── transaction-event-stream
├── type
├── connection-count
├── uri
├── certificates
└── private-key
In the above example, there are two bindings under the SERVICE_BINDING_ROOT
directory. The account-database
and transaction-event-system
are the names
of the bindings. Files within each bindings directory has a special file named
type
, and you can rely on the value of that file to identify the type of the
binding projected into that directory. In certain directories, you can also see
another file named provider
. The provider is an additional identifier to
narrow down the type further. This module use the type
field and, optionally,
provider
field to look up the bindings.
Installation
You can install this package using pip:
pip install pyservicebinding
Usage
The ServiceBinding
object can be instantiated like this:
from pyservicebinding import binding
try:
sb = binding.ServiceBinding()
except binding.ServiceBindingRootMissingError as msg:
# log the error message and retry/exit
print("SERVICE_BINDING_ROOT env var not set")
To get bindings for a specific type
, say postgresql
:
bindings_list = sb.bindings("postgresql")
To get bindings for a specific type
, say mysql
, and provider
, say mariadb
:
bindings_list = sb.bindings("mysql", "mariadb")
To get all bindings irrespective of the type
and provider
:
bindings_list = sb.all_bindings()
This is the complete API of the module:
class ServiceBindingRootMissingError(Exception):
pass
class ServiceBinding:
def __init__(self):
"""
- raise ServiceBindingRootMissingError if SERVICE_BINDING_ROOT env var not set
"""
def all_bindings(self) -> list[dict[str, str]]:
"""Get all bindings as a list of dictionaries
- return empty list if no bindings found
"""
def bindings(self, _type: str, provider: typing.Optional[str] = None) -> list[dict[str, str]]:
"""Get filtered bindings as a list of dictionaries
- return empty dictionary if no binding found
- filter the result with the given _type input
- if provider input is given, filter bindings using the given type and provider
"""
Project details
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