Notebook

laktory.models.resources.databricks.Notebook

Bases: RenderableFileMixin, NotebookBase

Databricks Notebook

Examples:

import io

from laktory import models

notebook_yaml = '''
source: ./notebooks/dlt/dlt_laktory_pl.py
dirpath: notebooks/dlt/
access_controls:
- group_name: role-engineers
  permission_level: CAN_RUN
'''
notebook = models.resources.databricks.Notebook.model_validate_yaml(
    io.StringIO(notebook_yaml)
)
print(notebook.path)
# > /.laktory/notebooks/dlt/dlt_laktory_pl.py

References

• Databricks Notebook

BASE	DESCRIPTION
content_base64	The base64-encoded notebook source code. Conflicts with source. Use of content_base64 is discouraged, as it's increasing memory footprint of Terraform state and should only be used in exceptional circumstances, like creating a notebook with configuration properties for a data pipeline TYPE: str | None | VariableType DEFAULT: None
format	TYPE: str | None | VariableType DEFAULT: None
language	(required with content_base64) One of SCALA, PYTHON, SQL, R TYPE: str | None | VariableType DEFAULT: None
md5	TYPE: str | None | VariableType DEFAULT: None
object_id	Unique identifier for a NOTEBOOK TYPE: int | None | VariableType DEFAULT: None
object_type	TYPE: str | None | VariableType DEFAULT: None

LAKTORY	DESCRIPTION
access_controls	List of notebook access controls TYPE: list[AccessControl | VariableType] | VariableType DEFAULT: []
dirpath	Workspace directory inside rootpath in which the notebook is deployed. Used only if path is not specified. TYPE: str | VariableType DEFAULT: None
path_	Workspace filepath for the notebook. Overwrite rootpath and dirpath. TYPE: str | VariableType DEFAULT: None
render_vars	If True, resolve ${vars.x} / ${{ expr }} placeholders in this file's content before upload. Resolved content is staged under settings.build_root; the staged copy is (re)written whenever Stack.build() runs (which preview, deploy, destroy and build all trigger). TYPE: bool DEFAULT: False
source_	Path to notebook in source code format on local filesystem. Conflicts with content_base64 TYPE: str | VariableType DEFAULT: None

METHOD	DESCRIPTION
build	Render ${vars.x}/${{ expr }} placeholders in the notebook
check_staged	Raise a clear error if this resource is configured for variable

ATTRIBUTE	DESCRIPTION
additional_core_resources	permissions TYPE: list
filename	Notebook file name TYPE: str

additional_core_resources property

• permissions

filename property

Notebook file name

build(vars=None)

Render ${vars.x}/${{ expr }} placeholders in the notebook content and stage the result under settings.build_root, if render_vars is True. No-op otherwise.

Source code in laktory/models/resources/databricks/notebook.py

def build(self, vars: dict = None):
    """
    Render `${vars.x}`/`${{ expr }}` placeholders in the notebook
    content and stage the result under `settings.build_root`, if
    `render_vars` is `True`. No-op otherwise.
    """
    if self.render_vars:
        self._render_to_staged_path(self.source_, self.source, vars=vars)

check_staged()

Raise a clear error if this resource is configured for variable rendering but its staged copy hasn't been written yet (i.e. .build() hasn't run). Guards against programmatic use that bypasses Stack.build() (the normal CLI flow always calls it before dumping resources).

Source code in laktory/models/resources/databricks/_renderablefile.py

def check_staged(self):
    """
    Raise a clear error if this resource is configured for variable
    rendering but its staged copy hasn't been written yet (i.e.
    `.build()` hasn't run). Guards against programmatic use that
    bypasses `Stack.build()` (the normal CLI flow always calls it
    before dumping resources).
    """
    if not self.render_vars:
        return
    staged = self._rendered_field_value
    if staged and not Path(staged).exists():
        raise RuntimeError(
            f"'{staged}' has not been rendered yet. Run `laktory build` "
            "(or `preview`/`deploy`, which trigger it automatically) "
            "before this resource is used."
        )

---

laktory.models.resources.databricks.notebook.NotebookLookup

Bases: ResourceLookup

PARAMETER	DESCRIPTION
format	Notebook format to export. Either SOURCE, HTML, JUPYTER, or DBC TYPE: str | VariableType DEFAULT: 'SOURCE'
path	Notebook path on the workspace TYPE: str | VariableType