Source code for kedro.framework.cli.jupyter

"""A collection of helper functions to integrate with Jupyter/IPython
and CLI commands for working with Kedro catalog.
"""
import json
import os
import re
import sys
from collections import Counter
from glob import iglob
from pathlib import Path
from typing import Any, Dict, Iterable, List
from warnings import warn

import click
from click import secho
from jupyter_client.kernelspec import NATIVE_KERNEL_NAME, KernelSpecManager
from traitlets import Unicode

from kedro.framework.cli.utils import (
    KedroCliError,
    _check_module_importable,
    command_with_verbosity,
    env_option,
    forward_command,
    ipython_message,
    load_entry_points,
    python_call,
)
from kedro.framework.project import validate_settings
from kedro.framework.startup import ProjectMetadata

JUPYTER_IP_HELP = "IP address of the Jupyter server."
JUPYTER_ALL_KERNELS_HELP = "Display all available Python kernels."
JUPYTER_IDLE_TIMEOUT_HELP = """When a notebook is closed, Jupyter server will
terminate its kernel after so many seconds of inactivity. This does not affect
any open notebooks."""

CONVERT_ALL_HELP = """Extract the nodes from all notebooks in the Kedro project directory,
including sub-folders."""

OVERWRITE_HELP = """If Python file already exists for the equivalent notebook,
overwrite its contents."""


[docs]def collect_line_magic(): """Interface function for collecting line magic functions from plugin entry points.""" return load_entry_points("line_magic")
[docs]class SingleKernelSpecManager(KernelSpecManager): """A custom KernelSpec manager to be used by Kedro projects. It limits the kernels to the default one only, to make it less confusing for users, and gives it a sensible name. """ default_kernel_name = Unicode( "Kedro", config=True, help="Alternative name for the default kernel" ) whitelist = [NATIVE_KERNEL_NAME] def get_kernel_spec(self, kernel_name): """ This function will only be called by Jupyter to get a KernelSpec for the default kernel. We replace the name by something sensible here. """ kernelspec = super().get_kernel_spec(kernel_name) if kernel_name == NATIVE_KERNEL_NAME: kernelspec.display_name = self.default_kernel_name return kernelspec
def _update_ipython_dir(project_path: Path) -> None: os.environ["IPYTHONDIR"] = str(project_path / ".ipython") # pylint: disable=missing-function-docstring @click.group(name="Kedro") def jupyter_cli(): # pragma: no cover pass @jupyter_cli.group() def jupyter(): """Open Jupyter Notebook / Lab with project specific variables loaded, or convert notebooks into Kedro code. """ @forward_command(jupyter, "notebook", forward_help=True) @click.option( "--ip", "ip_address", type=str, default="127.0.0.1", help="IP address of the Jupyter server.", ) @click.option( "--all-kernels", is_flag=True, default=False, help=JUPYTER_ALL_KERNELS_HELP ) @click.option("--idle-timeout", type=int, default=30, help=JUPYTER_IDLE_TIMEOUT_HELP) @env_option @click.pass_obj # this will pass the metadata as first argument def jupyter_notebook( metadata: ProjectMetadata, ip_address, all_kernels, env, idle_timeout, args, **kwargs, ): # pylint: disable=unused-argument,too-many-arguments """Open Jupyter Notebook with project specific variables loaded.""" _check_module_importable("jupyter_core") validate_settings() if "-h" not in args and "--help" not in args: ipython_message(all_kernels) _update_ipython_dir(metadata.project_path) arguments = _build_jupyter_command( "notebook", ip_address=ip_address, all_kernels=all_kernels, args=args, idle_timeout=idle_timeout, project_name=metadata.project_name, ) python_call_kwargs = _build_jupyter_env(env) python_call("jupyter", arguments, **python_call_kwargs) @forward_command(jupyter, "lab", forward_help=True) @click.option("--ip", "ip_address", type=str, default="127.0.0.1", help=JUPYTER_IP_HELP) @click.option( "--all-kernels", is_flag=True, default=False, help=JUPYTER_ALL_KERNELS_HELP ) @click.option("--idle-timeout", type=int, default=30, help=JUPYTER_IDLE_TIMEOUT_HELP) @env_option @click.pass_obj # this will pass the metadata as first argument def jupyter_lab( metadata: ProjectMetadata, ip_address, all_kernels, env, idle_timeout, args, **kwargs, ): # pylint: disable=unused-argument,too-many-arguments """Open Jupyter Lab with project specific variables loaded.""" _check_module_importable("jupyter_core") validate_settings() if "-h" not in args and "--help" not in args: ipython_message(all_kernels) _update_ipython_dir(metadata.project_path) arguments = _build_jupyter_command( "lab", ip_address=ip_address, all_kernels=all_kernels, args=args, idle_timeout=idle_timeout, project_name=metadata.project_name, ) python_call_kwargs = _build_jupyter_env(env) python_call("jupyter", arguments, **python_call_kwargs) @command_with_verbosity(jupyter, "convert") @click.option("--all", "-a", "all_flag", is_flag=True, help=CONVERT_ALL_HELP) @click.option("-y", "overwrite_flag", is_flag=True, help=OVERWRITE_HELP) @click.argument( "filepath", type=click.Path(exists=True, dir_okay=False, resolve_path=True), required=False, nargs=-1, ) @env_option @click.pass_obj # this will pass the metadata as first argument def convert_notebook( metadata: ProjectMetadata, all_flag, overwrite_flag, filepath, env, **kwargs ): # pylint: disable=unused-argument, too-many-locals """Convert selected or all notebooks found in a Kedro project to Kedro code, by exporting code from the appropriately-tagged cells: Cells tagged as `node` will be copied over to a Python file matching the name of the notebook, under `<source_dir>/<package_name>/nodes`. *Note*: Make sure your notebooks have unique names! FILEPATH: Path(s) to exact notebook file(s) to be converted. Both relative and absolute paths are accepted. Should not be provided if --all flag is already present. """ project_path = metadata.project_path source_path = metadata.source_dir package_name = metadata.package_name _update_ipython_dir(project_path) if not filepath and not all_flag: secho( "Please specify a notebook filepath " "or add '--all' to convert all notebooks." ) sys.exit(1) if all_flag: # pathlib glob does not ignore hidden directories, # whereas Python glob does, which is more useful in # ensuring checkpoints will not be included pattern = project_path / "**" / "*.ipynb" notebooks = sorted(Path(p) for p in iglob(str(pattern), recursive=True)) else: notebooks = [Path(f) for f in filepath] counter = Counter(n.stem for n in notebooks) non_unique_names = [name for name, counts in counter.items() if counts > 1] if non_unique_names: names = ", ".join(non_unique_names) raise KedroCliError( f"Found non-unique notebook names! Please rename the following: {names}" ) output_dir = source_path / package_name / "nodes" if not output_dir.is_dir(): output_dir.mkdir() (output_dir / "__init__.py").touch() for notebook in notebooks: secho(f"Converting notebook '{notebook}'...") output_path = output_dir / f"{notebook.stem}.py" if output_path.is_file(): overwrite = overwrite_flag or click.confirm( f"Output file {output_path} already exists. Overwrite?", default=False ) if overwrite: _export_nodes(notebook, output_path) else: _export_nodes(notebook, output_path) secho("Done!", color="green") # type: ignore def _build_jupyter_command( # pylint: disable=too-many-arguments base: str, ip_address: str, all_kernels: bool, args: Iterable[str], idle_timeout: int, project_name: str = "Kedro", ) -> List[str]: cmd = [ base, "--ip", ip_address, f"--MappingKernelManager.cull_idle_timeout={idle_timeout}", f"--MappingKernelManager.cull_interval={idle_timeout}", ] if not all_kernels: kernel_name = re.sub(r"[^\w]+", "", project_name).strip() or "Kedro" cmd += [ "--NotebookApp.kernel_spec_manager_class=" "kedro.framework.cli.jupyter.SingleKernelSpecManager", f"--KernelSpecManager.default_kernel_name='{kernel_name}'", ] return cmd + list(args) def _build_jupyter_env(kedro_env: str) -> Dict[str, Any]: """Build the environment dictionary that gets injected into the subprocess running Jupyter. Since the subprocess has access only to the environment variables passed in, we need to copy the current environment and add ``KEDRO_ENV``. """ if not kedro_env: return {} jupyter_env = os.environ.copy() jupyter_env["KEDRO_ENV"] = kedro_env return {"env": jupyter_env} def _export_nodes(filepath: Path, output_path: Path) -> None: """Copy code from Jupyter cells into nodes in src/<package_name>/nodes/, under filename with same name as notebook. Args: filepath: Path to Jupyter notebook file output_path: Path where notebook cells' source code will be exported Raises: KedroCliError: When provided a filepath that cannot be read as a Jupyer notebook and loaded into json format. """ try: content = json.loads(filepath.read_text()) except json.JSONDecodeError as exc: raise KedroCliError( f"Provided filepath is not a Jupyter notebook: {filepath}" ) from exc cells = [ cell for cell in content["cells"] if cell["cell_type"] == "code" and "node" in cell["metadata"].get("tags", {}) ] if cells: output_path.write_text("") for cell in cells: _append_source_code(cell, output_path) else: warn(f"Skipping notebook '{filepath}' - no nodes to export.") def _append_source_code(cell: Dict[str, Any], path: Path) -> None: source_code = "".join(cell["source"]).strip() + "\n" with path.open(mode="a") as file_: file_.write(source_code)