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"""This module defines the abstract interface of the cache.
API access to the cache should use this interface,
with no assumptions about the backend storage/retrieval mechanisms.
"""
from abc import ABC, abstractmethod
import io
from pathlib import Path
from typing import Iterable, List, Mapping, Optional, Tuple, Union
import attr
from attr.validators import instance_of, optional
import nbformat as nbf
# TODO make these abstract
from jupyter_cache.cache.db import NbCacheRecord, NbProjectRecord
from jupyter_cache.readers import DEFAULT_READ_DATA
NB_VERSION = 4
class CachingError(Exception):
"""An error to raise when adding to the cache fails."""
class RetrievalError(Exception):
"""An error to raise when retrieving from the cache fails."""
class NbValidityError(Exception):
"""Signals a notebook may not be valid to cache.
For example, because it has not yet been executed.
"""
def __init__(self, message, nb_bundle, *args, **kwargs):
self.uri = nb_bundle.uri
super().__init__(message, *args, **kwargs)
@attr.s(frozen=True, slots=True)
class ProjectNb:
"""A notebook read from a project"""
pk: int = attr.ib(
validator=instance_of(int),
metadata={"help": "the ID of the notebook"},
)
uri: str = attr.ib(
converter=str,
validator=instance_of(str),
metadata={"help": "the URI of the notebook"},
)
nb: nbf.NotebookNode = attr.ib(
validator=instance_of(nbf.NotebookNode),
repr=lambda nb: f"Notebook(cells={len(nb.cells)})",
metadata={"help": "the notebook"},
)
assets: List[Path] = attr.ib(
factory=list,
metadata={"help": "File paths required to run the notebook"},
)
class NbArtifactsAbstract(ABC):
"""Container for artefacts of a notebook execution."""
@property
@abstractmethod
def relative_paths(self) -> List[Path]:
"""Return the list of paths (relative to the notebook folder)."""
@abstractmethod
def __iter__(self) -> Iterable[Tuple[Path, io.BufferedReader]]:
"""Yield the relative path and open files (in bytes mode)"""
def __repr__(self):
return f"{self.__class__.__name__}(paths={len(self.relative_paths)})"
@attr.s(frozen=True, slots=True)
class CacheBundleIn:
"""A container for notebooks and their associated data to cache."""
nb: nbf.NotebookNode = attr.ib(
validator=instance_of(nbf.NotebookNode),
repr=lambda nb: f"Notebook(cells={len(nb.cells)})",
metadata={"help": "the notebook"},
)
uri: str = attr.ib(
converter=str,
validator=instance_of(str),
metadata={"help": "the origin URI of the notebook"},
)
artifacts: Optional[NbArtifactsAbstract] = attr.ib(
kw_only=True,
default=None,
metadata={"help": "artifacts created during the notebook execution"},
)
data: dict = attr.ib(
kw_only=True,
factory=dict,
validator=instance_of(dict),
metadata={"help": "additional data related to the execution"},
)
traceback: Optional[str] = attr.ib(
kw_only=True,
default=None,
validator=optional(instance_of(str)),
metadata={"help": "the traceback, if the execution excepted"},
)
@attr.s(frozen=True, slots=True)
class CacheBundleOut:
"""A container for notebooks and their associated data that have been cached."""
nb: nbf.NotebookNode = attr.ib(
validator=instance_of(nbf.NotebookNode),
repr=lambda nb: f"Notebook(cells={len(nb.cells)})",
metadata={"help": "the notebook"},
)
record: NbCacheRecord = attr.ib(metadata={"help": "the cache record"})
artifacts: Optional[NbArtifactsAbstract] = attr.ib(
default=None,
metadata={"help": "artifacts created during the notebook execution"},
)
class JupyterCacheAbstract(ABC):
"""An abstract cache for storing pre/post executed notebooks.
Note: class instances should be pickleable.
"""
@abstractmethod
def get_version(self) -> Optional[str]:
"""Return the version of the cache."""
@abstractmethod
def clear_cache(self) -> None:
"""Clear the cache completely."""
@abstractmethod
def cache_notebook_bundle(
self,
bundle: CacheBundleIn,
check_validity: bool = True,
overwrite: bool = False,
) -> NbCacheRecord:
"""Commit an executed notebook, returning its cache record.
Note: non-code source text (e.g. markdown) is not stored in the cache.
:param bundle: The notebook bundle
:param check_validity: check that the notebook has been executed correctly,
by asserting `execution_count`s are consecutive and start at 1.
:param overwrite: Allow overwrite of cache with matching hash
:return: The primary key of the cache
"""
@abstractmethod
def cache_notebook_file(
self,
path: str,
uri: Optional[str] = None,
artifacts: List[str] = (),
data: Optional[dict] = None,
check_validity: bool = True,
overwrite: bool = False,
) -> NbCacheRecord:
"""Commit an executed notebook, returning its cache record.
Note: non-code source text (e.g. markdown) is not stored in the cache.
:param path: path to the notebook
:param uri: alternative URI to store in the cache record (defaults to path)
:param artifacts: list of paths to outputs of the executed notebook.
Artifacts must be in the same folder as the notebook (or a sub-folder)
:param data: additional, JSONable, data about the cache
:param check_validity: check that the notebook has been executed correctly,
by asserting `execution_count`s are consecutive and start at 1.
:param overwrite: Allow overwrite of cache with matching hash
:return: The primary key of the cache
"""
@abstractmethod
def list_cache_records(self) -> List[NbCacheRecord]:
"""Return a list of cached notebook records."""
@abstractmethod
def get_cache_record(self, pk: int) -> NbCacheRecord:
"""Return the record of a cache, by its primary key"""
@abstractmethod
def get_cache_bundle(self, pk: int) -> CacheBundleOut:
"""Return an executed notebook bundle, by its primary key"""
@abstractmethod
def cache_artefacts_temppath(self, pk: int) -> Path:
"""Context manager to provide a temporary folder path to the notebook artifacts.
Note this path is only guaranteed to exist within the scope of the context,
and should only be used for read/copy operations::
with cache.cache_artefacts_temppath(1) as path:
shutil.copytree(path, destination)
"""
@abstractmethod
def match_cache_notebook(self, nb: nbf.NotebookNode) -> NbCacheRecord:
"""Match to an executed notebook, returning its primary key.
:raises KeyError: if no match is found
"""
def match_cache_file(self, path: str) -> NbCacheRecord:
"""Match to an executed notebook, returning its primary key.
:raises KeyError: if no match is found
"""
notebook = nbf.read(path, nbf.NO_CONVERT)
return self.match_cache_notebook(notebook)
@abstractmethod
def merge_match_into_notebook(
self,
nb: nbf.NotebookNode,
nb_meta=("kernelspec", "language_info", "widgets"),
cell_meta=None,
) -> Tuple[int, nbf.NotebookNode]:
"""Match to an executed notebook and return a merged version
:param nb: The input notebook
:param nb_meta: metadata keys to merge from the cache (all if None)
:param cell_meta: cell metadata keys to merge from the cache (all if None)
:raises KeyError: if no match is found
:return: pk, input notebook with cached code cells and metadata merged.
"""
def merge_match_into_file(
self,
path: str,
nb_meta=("kernelspec", "language_info", "widgets"),
cell_meta=None,
) -> Tuple[int, nbf.NotebookNode]:
"""Match to an executed notebook and return a merged version
:param path: The input notebook path
:param nb_meta: metadata keys to merge from the cache (all if None)
:param cell_meta: cell metadata keys to merge from the cache (all if None)
:raises KeyError: if no match is found
:return: pk, input notebook with cached code cells and metadata merged.
"""
nb = nbf.read(str(path), nbf.NO_CONVERT)
return self.merge_match_into_notebook(nb, nb_meta, cell_meta)
@abstractmethod
def diff_nbnode_with_cache(
self, pk: int, nb: nbf.NotebookNode, uri: str = "", as_str=False, **kwargs
) -> Union[str, dict]:
"""Return a diff of a notebook to a cached one.
Note: this will not diff markdown content, since it is not stored in the cache.
"""
def diff_nbfile_with_cache(
self, pk: int, path: str, as_str=False, **kwargs
) -> Union[str, dict]:
"""Return a diff of a notebook to a cached one.
Note: this will not diff markdown content, since it is not stored in the cache.
"""
nb = nbf.read(path, nbf.NO_CONVERT)
return self.diff_nbnode_with_cache(pk, nb, uri=path, as_str=as_str, **kwargs)
@abstractmethod
def add_nb_to_project(
self,
uri: str,
*,
read_data: Mapping = DEFAULT_READ_DATA,
assets: List[str] = (),
) -> NbProjectRecord:
"""Add a single notebook to the project.
:param uri: The path to the file
:param read_data: Data to generate a function, to read the uri and return a NotebookNode
:param assets: The path of files required by the notebook to run.
:raises ValueError: assets not within the same folder as the notebook URI.
"""
@abstractmethod
def remove_nb_from_project(self, uri_or_pk: Union[int, str]):
"""Remove a notebook from the project."""
@abstractmethod
def list_project_records(
self,
filter_uris: Optional[List[str]] = None,
filter_pks: Optional[List[int]] = None,
) -> List[NbProjectRecord]:
"""Return a list of all notebook records in the project."""
@abstractmethod
def get_project_record(self, uri_or_pk: Union[int, str]) -> NbProjectRecord:
"""Return the record of a notebook in the project, by its primary key or URI."""
@abstractmethod
def get_project_notebook(self, uri_or_pk: Union[int, str]) -> ProjectNb:
"""Return a single notebook in the project, by its primary key or URI.
:raises NbReadError: if the notebook cannot be read
"""
@abstractmethod
def get_cached_project_nb(
self, uri_or_pk: Union[int, str]
) -> Optional[NbCacheRecord]:
"""Get cache record for a notebook in the project.
:param uri_or_pk: The URI of pk of the file in the project
"""
@abstractmethod
def list_unexecuted(
self,
filter_uris: Optional[List[str]] = None,
filter_pks: Optional[List[int]] = None,
) -> List[NbProjectRecord]:
"""List notebooks in the project, whose hash is not present in the cache."""
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