tiled.adapters.excel.ExcelAdapter

class tiled.adapters.excel.ExcelAdapter(mapping: Dict[str, Any], *, structure: TableStructure | None = None, metadata: Dict[str, str | int | float | bool | Dict[str, Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]] | List[Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]]] | None = None, sorting: List[SortingItem] | None = None, specs: List[Spec] | None = None, entries_stale_after: timedelta | None = None, metadata_stale_after: timedelta | None = None, must_revalidate: bool = True)

__init__(mapping: Dict[str, Any], *, structure: TableStructure | None = None, metadata: Dict[str, str | int | float | bool | Dict[str, Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]] | List[Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]]] | None = None, sorting: List[SortingItem] | None = None, specs: List[Spec] | None = None, entries_stale_after: timedelta | None = None, metadata_stale_after: timedelta | None = None, must_revalidate: bool = True) → None

Create a simple Adapter from any mapping (e.g. dict, OneShotCachedMap).

Parameters:

mappingdict-like

metadatadict, optional

specsList[str], optional

sortingList[Tuple[str, int]], optional

specsList[str], optional

entries_stale_after: timedelta

This server uses this to communicate to the client how long it should rely on a local cache before checking back for changes.

metadata_stale_after: timedelta

This server uses this to communicate to the client how long it should rely on a local cache before checking back for changes.

must_revalidatebool

Whether the client should strictly refresh stale cache items.

Methods

__init__(mapping, *[, structure, metadata, ...])	Create a simple Adapter from any mapping (e.g. dict, OneShotCachedMap).
from_catalog(data_source, node, /, **kwargs)
from_file(file, **kwargs)	Read the sheets in an Excel file.
from_uris(data_uri, **kwargs)	Read the sheets in an Excel file.
get(k[,d])
get_distinct(metadata, structure_families, ...)
items()
keys()
metadata()	Metadata about this Adapter.
new_variation(*args[, mapping, metadata, ...])
read([fields])
register_query(class_, translator)
register_query_lazy(toplevel, register)	Register a registration function which will be called if the toplevel module (e.g. 'pandas') is ever loaded.
search(query)
sort(sorting)
structure()
values()

Attributes

background_tasks
entries_stale_after
include_routers
metadata_stale_after
specs
entries_stale_at
items_indexer
keys_indexer
metadata_stale_at
must_revalidate
query_registry
sorting
structure_family
supported_storage
values_indexer
fn