Bases: BaseJinjaRenderer[Pipeline, RenderInputsSchema]
Renders a basic Jupyter notebook from a pipeline.
Source code in kiara_plugin/jupyter/renderers/pipeline.py
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66 | class PipelineRenderer(BaseJinjaRenderer[Pipeline, RenderInputsSchema]):
"""Renders a basic Jupyter notebook from a pipeline."""
_renderer_name = "pipeline_notebook"
def retrieve_supported_render_sources(self) -> str:
return "pipeline"
def retrieve_supported_render_targets(cls) -> Union[Iterable[str], str]:
return "jupyter_notebook"
def retrieve_source_transformers(self) -> Iterable[SourceTransformer]:
return [PipelineTransformer(kiara=self._kiara)]
def retrieve_jinja_env(self) -> JinjaEnv:
jinja_env = JinjaEnv(template_base="kiara_plugin.jupyter")
return jinja_env
def get_template(self, render_config: RenderInputsSchema) -> Template:
return self.get_jinja_env().get_template(
"pipeline/workflow_tutorial/jupyter_notebook.ipynb.j2"
)
def assemble_render_inputs(
self, instance: Any, render_config: RenderInputsSchema
) -> Mapping[str, Any]:
inputs = render_config.dict()
inputs["pipeline"] = instance
return inputs
def _post_process(self, rendered: str) -> str:
is_notebook = True
if is_notebook:
import jupytext
notebook = jupytext.reads(rendered, fmt="py:percent")
converted = jupytext.writes(notebook, fmt="notebook")
return converted
else:
try:
import black
from black import Mode # type: ignore
cleaned = black.format_str(rendered, mode=Mode())
return cleaned
except Exception as e:
log_message(
f"Could not format python code, 'black' not in virtual environment: {e}."
)
return rendered
|
Functions
retrieve_supported_render_sources() -> str
Source code in kiara_plugin/jupyter/renderers/pipeline.py
| def retrieve_supported_render_sources(self) -> str:
return "pipeline"
|
retrieve_supported_render_targets() -> Union[Iterable[str], str]
Source code in kiara_plugin/jupyter/renderers/pipeline.py
| def retrieve_supported_render_targets(cls) -> Union[Iterable[str], str]:
return "jupyter_notebook"
|
Source code in kiara_plugin/jupyter/renderers/pipeline.py
| def retrieve_source_transformers(self) -> Iterable[SourceTransformer]:
return [PipelineTransformer(kiara=self._kiara)]
|
retrieve_jinja_env() -> JinjaEnv
Source code in kiara_plugin/jupyter/renderers/pipeline.py
| def retrieve_jinja_env(self) -> JinjaEnv:
jinja_env = JinjaEnv(template_base="kiara_plugin.jupyter")
return jinja_env
|
get_template(render_config: RenderInputsSchema) -> Template
Source code in kiara_plugin/jupyter/renderers/pipeline.py
| def get_template(self, render_config: RenderInputsSchema) -> Template:
return self.get_jinja_env().get_template(
"pipeline/workflow_tutorial/jupyter_notebook.ipynb.j2"
)
|
Source code in kiara_plugin/jupyter/renderers/pipeline.py
| def assemble_render_inputs(
self, instance: Any, render_config: RenderInputsSchema
) -> Mapping[str, Any]:
inputs = render_config.dict()
inputs["pipeline"] = instance
return inputs
|