Source code for search.mixins

from __future__ import annotations

from onegov.search.utils import classproperty
from onegov.search.utils import extract_hashtags


from typing import Any, ClassVar, TYPE_CHECKING
if TYPE_CHECKING:
    from collections.abc import Callable, Sequence
    from datetime import datetime
    from typing import Any as AnyRequest


[docs] class Searchable: """ Defines the interface required for an object to be searchable. Note that ``fts_id `` and ``fts_properties`` must be class properties, not instance properties. So do this:: class X(Searchable): fts_properties = {} But do not do this:: class X(Searchable): @property def fts_properties(self): return {} The rest of the properties may be normal properties. """ if TYPE_CHECKING: # FIXME: Gross classproperty vs. ClassVar is a mess, we should # consistently use one or the other
[docs] fts_properties: ClassVar[dict[str, Any]]
fts_id: ClassVar[str] fts_type_title: ClassVar[str | Callable[[AnyRequest], str]] __tablename__: ClassVar[str] # TODO: rename to fts_properties @classproperty # type:ignore[no-redef] @classmethod def fts_properties(cls) -> dict[str, Any]: """ Returns the type mapping of this model. Each property in the mapping will be read from the model instance. The returned object needs to be a dict or an object that provides a ``to_dict`` method. Internally, onegov.search stores differing languages in different indices. It does this automatically through langauge detection, or by manually specifying a language. Note that objects with multiple languages are not supported (each object is supposed to have exactly one language). Onegov.search will automatically insert the right analyzer for types like these. There's currently only limited support for properties here, namely objects and nested mappings do not work! This is going to be added in the future though. """ raise NotImplementedError # FIXME: Replace this with `inspect(model).primary_key[0]` @classproperty # type:ignore[no-redef] @classmethod
[docs] def fts_id(cls) -> str: """ The name of the id attribute (not the actual value!). If you use this on an ORM model, be sure to use a primary key, all other properties are not available during deletion. """ raise NotImplementedError
@classproperty # type:ignore[no-redef] @classmethod
[docs] def fts_type_title(cls) -> str | Callable[[AnyRequest], str]: """ Returns the display name for this type of document or a callable which accepts the current request as a single positional argument and returns the display name. """ # NOTE: This fallback should generally not be relied upon, but it's # better if we have a bad name, rather than a crash, when we # add a new type and forget to add a custom title. return cls.__name__ # pragma: no cover
@property
[docs] def fts_language(self) -> str: """ Defines the language of the object. By default 'auto' is used, which triggers automatic language detection. Automatic language detection is reasonably accurate if provided with enough text. Short texts are not detected easily. When 'auto' is used, expect some content to be misclassified. You should then search over all languages, not just the expected one. This property can be used to manually set the language. """ return 'auto'
@property
[docs] def fts_access(self) -> str: """ Returns access level of the model. Defaults to `public`. """ return getattr(self, 'access', 'public')
@property
[docs] def fts_public(self) -> bool: """ Returns True if the model is available to be found by the public. If false, only editors/admins will see this object in the search results. """ raise NotImplementedError
@property
[docs] def fts_skip(self) -> bool: """ Returns True if the indexing of this specific model instance should be skipped. """ return False
@property
[docs] def fts_suggestion(self) -> Sequence[str] | str: """ Returns suggest-as-you-type value of the document. The field used for this property should also be indexed, or the suggestion will lead to nowhere. If a single string is returned, the completion input equals the completion output. (My Title -> My Title) If an array of strings is returned, all values are possible inputs and the first value is the output. (My Title/Title My -> My Title) """ return self.title # type:ignore[attr-defined]
@property
[docs] def fts_publication_start(self) -> datetime | None: """ Returns the date when the document should become public. """ return getattr(self, 'publication_start', None)
@property
[docs] def fts_publication_end(self) -> datetime | None: """ Returns the date when the document should stop being public. """ return getattr(self, 'publication_end', None)
@property
[docs] def fts_last_change(self) -> datetime | None: """ Returns the date the document was created/last modified. Returning `None` indicates that the document's age/recency must not influence search ranking: the item should be treated as equally relevant regardless of how old it is. """ return None
@property
[docs] def fts_tags(self) -> list[str] | None: """ Returns a list of tags associated with this content. """ return None
[docs] class ORMSearchable(Searchable): """ Extends the default :class:`Searchable` class with sensible defaults for SQLAlchemy orm models. """ if TYPE_CHECKING: # FIXME: Gross classproperty vs. ClassVar is a mess, we should # consistently use one or the other
[docs] fts_id: ClassVar[str]
@classproperty # type:ignore[no-redef] @classmethod def fts_id(cls) -> str: return 'id' @property
[docs] def fts_last_change(self) -> datetime | None: return getattr(self, 'last_change', None)
[docs] class SearchableContent(ORMSearchable): """ Adds search to all classes using the core's content mixin: :class:`onegov.core.orm.mixins.content.ContentMixin` """
[docs] fts_properties = { 'title': {'type': 'localized', 'weight': 'A'}, 'lead': {'type': 'localized', 'weight': 'B'}, 'text': {'type': 'localized', 'weight': 'C'} }
@property
[docs] def fts_public(self) -> bool: return True
@property
[docs] def fts_tags(self) -> list[str] | None: tags: list[str] = [] for field in ('lead', 'text', 'description'): text = getattr(self, field, None) if text: tags.extend(tag.lstrip('#') for tag in extract_hashtags(text)) return tags or None