Helper functions for caching and parsing open.data resources.
Usage
od_cache_dir(dir = NULL)
od_cache_clear(id, server = "ext")
od_cache_file(id, suffix = NULL, timestamp = NULL, ..., server = "ext")
od_resource(id, suffix = NULL, timestamp = NULL, server = "ext")
od_json(id, timestamp = Sys.time() - 3600, server = "ext")
od_resource_all(id, json = od_json(id), server = "ext")Arguments
- dir
If
NULL, the cache directory is returned. Otherwise, the cache directory will be updated todir.- id
A database id
- server
the OGD-Server to use to load update the resources in case they are outdated.
"ext"for the external server (the default) od"red"for the editing server.- suffix
A suffix for the resource:
"HEADER"or a field code.- timestamp
A timestamp in
POSIXctformat. If provided, the cached resource will be updated if it is older than that value. Otherwise it will be downloaded only if it does not exist in the cache.- ...
For internal use
- json
The JSON file belonging to the dataset
Value
For od_cache_file() and od_resource(), the returned objects
contain a hidden attribute attr(., "od") about the time used for
downloading and parsing the resource. od_resource_all() converts these
hidden attribute into columns.
Details
od_cache_clear(id) removes all files belonging to the specified id.
By default, downloaded json files will "expire" in one hour or 3600 seconds.
That is, if a json is requested, it will be reused from the cache unless the
file.mtime() is more than one hour behind Sys.time().
Examples
# get the current cache directory
od_cache_dir()
#> [1] "/tmp/RtmptAUoM4/STATcubeR/open_data/"
# Get paths to cached files
od_cache_file("OGD_veste309_Veste309_1")
#> [1] "/tmp/RtmptAUoM4/STATcubeR/open_data/OGD_veste309_Veste309_1.csv"
od_cache_file("OGD_veste309_Veste309_1", "C-A11-0")
#> [1] "/tmp/RtmptAUoM4/STATcubeR/open_data/OGD_veste309_Veste309_1_C-A11-0.csv"
# get a parsed verison of the resource
od_resource("OGD_veste309_Veste309_1", "C-A11-0")
#> # A data frame: 3 × 7
#> code label label_de label_en parent de_desc en_desc
#> * <chr> <chr> <chr> <chr> <fct> <lgl> <lgl>
#> 1 A11-1 NA insgesamt Sum total NA NA NA
#> 2 A11-2 NA männlich Male NA NA NA
#> 3 A11-3 NA weiblich Female NA NA NA
# get json metadata about a dataset
od_json('OGD_veste309_Veste309_1')
#> Verdienststrukturerhebung 2018 Bruttostundenverdienste in EUR
#> nach Staatsangehörigkeit, Bundesland und
#> Beschäftigungsverhältnis
#>
#> Verdienststruktur nach Geschlecht, Staatsangehörigkeit,
#> Bundesland und Beschäftigungsverhältnis
#>
#> Measures: Arithmetisches Mittel, 1. Quartil, 2. Quartil (Median), 3.
#> Quartil, Zahl d unselbst Beschäftigten
#> Fields: Geschlecht, Staatsangehörigkeit, Bundesland (NUTS 2), Form
#> des Beschäftigungsverhältnisses
#> Updated: 2022-03-24 11:29:48
#> Tags: Staatsangehörigkeit, Bundesland, Beschäftigungsverhältnis
#> Categories: Arbeit, Bevölkerung
# Bundle all resources
od_resource_all("OGD_veste309_Veste309_1")
#> # A data frame: 6 × 7
#> name last_modified cached size download parsed
#> <chr> <dttm> <dttm> <dbl> <dbl> <dbl>
#> 1 meta.json 2022-03-24 09:51:59 4931 NA 0.557
#> 2 data.csv 2022-03-24 09:51:59 516 NA 0.383
#> 3 OGD_veste309_Veste3… 2022-03-24 09:51:59 159 NA 0.401
#> 4 OGD_veste309_Veste3… 2022-03-24 09:52:00 697 NA 0.398
#> 5 OGD_veste309_Veste3… 2022-03-24 09:52:00 518 NA 0.357
#> 6 OGD_veste309_Veste3… 2022-03-24 09:52:00 641 NA 0.363
#> # ℹ 1 more variable: data <I<list>>