CLI
Create Python SDK using CLI
Given a Data Model with external id Movie
in the space movies
in CDF, the following command will generate a Python SDK
In addition, the following options are available and recommended to be used:
--output-dir
This is the directory where the generated SDK will be placed.--top-level-package
The top level package for where to place the SDK, for examplemovie_sdk.client
.--client-name
Client name for the generated client expected to be given inPascalCase
, for exampleMovieClient
.--instance-space
The instance space to use for the generated SDK.
For more information about the available options, see pygen --help
.
Multiple Data Models
The CLI does NOT support generating an SDK for multiple data models. Then, you have to use a pyproject.toml
file,
see below.
pyproject.toml
When running the command pygen generate
, the program looks for a pyproject.toml
and .secret.toml
file in the current
working directory. If the pyproject.toml
file is found and has a [tool.pygen]
section, the values from this section will be used as
default values for the command line arguments. The .secret.toml
is expected to have a [cognite]
section with a client_secret
value.
Below is an example of the values that can be set in the pyproject.toml
and .secret.toml
files.
[tool.pygen]
data_models = [
["IntegrationTestsImmutable", "Movie", "2"],
]
tenant_id = "<cdf-project>"
client_id = "<client-id>"
cdf_cluster = "<cdf-cluster>"
cdf_project = "<cdf-project>"
top_level_package = "movie_domain.client"
client_name = "MovieClient"
output_dir = "."
instance_space = "my_instance_space"