Writes search to cache. Typically used internally, but exported to enable custom caching solutions.
Usage
tw_write_search_to_cache(
search_df,
type = "item",
language = tidywikidatar::tw_get_language(),
response_language = tidywikidatar::tw_get_language(),
cache = NULL,
overwrite_cache = FALSE,
cache_connection = NULL,
disconnect_db = TRUE
)
Arguments
- search_df
A data frame with four columns typically generated with
tw_search(include_search = TRUE)
.- type
Defaults to "item". Either "item" or "property".
- language
Language to be used for the search. Can be set once per session with
tw_set_language()
. If not set, defaults to "en". For a full list, see https://www.wikidata.org/wiki/Help:Wikimedia_language_codes/lists/all- response_language
Language to be used for the returned labels and descriptions. Corresponds to the
uselang
parameter of the MediaWiki API: https://www.wikidata.org/w/api.php?action=help&modules=wbsearchentities. Can be set once per session withtw_set_language()
. If not set, defaults to "en". For a full list, see https://www.wikidata.org/wiki/Help:Wikimedia_language_codes/lists/all- cache
Defaults to NULL. If given, it should be given either TRUE or FALSE. Typically set with
tw_enable_cache()
ortw_disable_cache()
.- overwrite_cache
Defaults to FALSE. If TRUE, overwrites cache.
- cache_connection
Defaults to NULL. If NULL, and caching is enabled,
tidywikidatar
will use a local sqlite database. A custom connection to other databases can be given (see vignettecaching
for details).- disconnect_db
Defaults to TRUE. If FALSE, leaves the connection to cache open.
Examples
tw_set_cache_folder(path = fs::path(tempdir(), paste(sample(letters, 24), collapse = "")))
tw_create_cache_folder(ask = FALSE)
tw_disable_cache()
search_from_api <- tw_search(search = "Sylvia Pankhurst", include_search = TRUE)
search_from_cache <- tw_get_cached_search("Sylvia Pankhurst")
nrow(search_from_cache) == 0 # expect TRUE, as nothing has yet been stored in cache
#> [1] TRUE
tw_write_search_to_cache(search_df = search_from_api)
search_from_cache <- tw_get_cached_search("Sylvia Pankhurst")
search_from_cache
#> # A tibble: 0 × 4
#> # ℹ 4 variables: search <chr>, id <chr>, label <chr>, description <chr>