This set of functions can be used to construct formatting functions adhering to the Response$format() requirements.

format_json(dataframe = "rows", matrix = "rowmajor",
  Date = "ISO8601", POSIXt = "string", factor = "string",
  complex = "string", raw = "base64", null = "list", na = "null",
  auto_unbox = FALSE, digits = 4, pretty = FALSE, force = FALSE)

format_plain(sep = "\n")

format_xml(encoding = "UTF-8", options = "as_xml")

format_html(encoding = "UTF-8", options = "as_html")

format_table(...)

Arguments

dataframe

how to encode data.frame objects: must be one of 'rows', 'columns' or 'values'

matrix

how to encode matrices and higher dimensional arrays: must be one of 'rowmajor' or 'columnmajor'.

Date

how to encode Date objects: must be one of 'ISO8601' or 'epoch'

POSIXt

how to encode POSIXt (datetime) objects: must be one of 'string', 'ISO8601', 'epoch' or 'mongo'

factor

how to encode factor objects: must be one of 'string' or 'integer'

complex

how to encode complex numbers: must be one of 'string' or 'list'

raw

how to encode raw objects: must be one of 'base64', 'hex' or 'mongo'

null

how to encode NULL values within a list: must be one of 'null' or 'list'

na

how to print NA values: must be one of 'null' or 'string'. Defaults are class specific

auto_unbox

automatically unbox all atomic vectors of length 1. It is usually safer to avoid this and instead use the unbox function to unbox individual elements. An exception is that objects of class AsIs (i.e. wrapped in I()) are not automatically unboxed. This is a way to mark single values as length-1 arrays.

digits

max number of decimal digits to print for numeric values. Use I() to specify significant digits. Use NA for max precision.

pretty

adds indentation whitespace to JSON output. Can be TRUE/FALSE or a number specifying the number of spaces to indent. See prettify

force

unclass/skip objects of classes with no defined JSON mapping

sep

The line separator. Plain text will be split into multiple strings based on this.

encoding

The character encoding to use in the document. The default encoding is ‘UTF-8’. Available encodings are specified at http://xmlsoft.org/html/libxml-encoding.html#xmlCharEncoding.

options

default: ‘format’. Zero or more of

format

Format output

no_declaration

Drop the XML declaration

no_empty_tags

Remove empty tags

no_xhtml

Disable XHTML1 rules

require_xhtml

Force XHTML1 rules

as_xml

Force XML output

as_html

Force HTML output

format_whitespace

Format with non-significant whitespace

...

parameters passed on to write.table()

Value

A function accepting an R object

See also

parsers for converting Request bodies into R objects

default_formatters for a list that maps the most common mime types to their respective formatters

Examples

fake_rook <- fiery::fake_request( 'http://example.com/test', content = '', headers = list( Content_Type = 'text/plain', Accept = 'application/json, text/csv' ) ) req <- Request$new(fake_rook) res <- req$respond() res$body <- mtcars res$format(json = format_json(), csv = format_table(sep=','))
#> [1] TRUE
res$body
#> [{"mpg":21,"cyl":6,"disp":160,"hp":110,"drat":3.9,"wt":2.62,"qsec":16.46,"vs":0,"am":1,"gear":4,"carb":4,"_row":"Mazda RX4"},{"mpg":21,"cyl":6,"disp":160,"hp":110,"drat":3.9,"wt":2.875,"qsec":17.02,"vs":0,"am":1,"gear":4,"carb":4,"_row":"Mazda RX4 Wag"},{"mpg":22.8,"cyl":4,"disp":108,"hp":93,"drat":3.85,"wt":2.32,"qsec":18.61,"vs":1,"am":1,"gear":4,"carb":1,"_row":"Datsun 710"},{"mpg":21.4,"cyl":6,"disp":258,"hp":110,"drat":3.08,"wt":3.215,"qsec":19.44,"vs":1,"am":0,"gear":3,"carb":1,"_row":"Hornet 4 Drive"},{"mpg":18.7,"cyl":8,"disp":360,"hp":175,"drat":3.15,"wt":3.44,"qsec":17.02,"vs":0,"am":0,"gear":3,"carb":2,"_row":"Hornet Sportabout"},{"mpg":18.1,"cyl":6,"disp":225,"hp":105,"drat":2.76,"wt":3.46,"qsec":20.22,"vs":1,"am":0,"gear":3,"carb":1,"_row":"Valiant"},{"mpg":14.3,"cyl":8,"disp":360,"hp":245,"drat":3.21,"wt":3.57,"qsec":15.84,"vs":0,"am":0,"gear":3,"carb":4,"_row":"Duster 360"},{"mpg":24.4,"cyl":4,"disp":146.7,"hp":62,"drat":3.69,"wt":3.19,"qsec":20,"vs":1,"am":0,"gear":4,"carb":2,"_row":"Merc 240D"},{"mpg":22.8,"cyl":4,"disp":140.8,"hp":95,"drat":3.92,"wt":3.15,"qsec":22.9,"vs":1,"am":0,"gear":4,"carb":2,"_row":"Merc 230"},{"mpg":19.2,"cyl":6,"disp":167.6,"hp":123,"drat":3.92,"wt":3.44,"qsec":18.3,"vs":1,"am":0,"gear":4,"carb":4,"_row":"Merc 280"},{"mpg":17.8,"cyl":6,"disp":167.6,"hp":123,"drat":3.92,"wt":3.44,"qsec":18.9,"vs":1,"am":0,"gear":4,"carb":4,"_row":"Merc 280C"},{"mpg":16.4,"cyl":8,"disp":275.8,"hp":180,"drat":3.07,"wt":4.07,"qsec":17.4,"vs":0,"am":0,"gear":3,"carb":3,"_row":"Merc 450SE"},{"mpg":17.3,"cyl":8,"disp":275.8,"hp":180,"drat":3.07,"wt":3.73,"qsec":17.6,"vs":0,"am":0,"gear":3,"carb":3,"_row":"Merc 450SL"},{"mpg":15.2,"cyl":8,"disp":275.8,"hp":180,"drat":3.07,"wt":3.78,"qsec":18,"vs":0,"am":0,"gear":3,"carb":3,"_row":"Merc 450SLC"},{"mpg":10.4,"cyl":8,"disp":472,"hp":205,"drat":2.93,"wt":5.25,"qsec":17.98,"vs":0,"am":0,"gear":3,"carb":4,"_row":"Cadillac Fleetwood"},{"mpg":10.4,"cyl":8,"disp":460,"hp":215,"drat":3,"wt":5.424,"qsec":17.82,"vs":0,"am":0,"gear":3,"carb":4,"_row":"Lincoln Continental"},{"mpg":14.7,"cyl":8,"disp":440,"hp":230,"drat":3.23,"wt":5.345,"qsec":17.42,"vs":0,"am":0,"gear":3,"carb":4,"_row":"Chrysler Imperial"},{"mpg":32.4,"cyl":4,"disp":78.7,"hp":66,"drat":4.08,"wt":2.2,"qsec":19.47,"vs":1,"am":1,"gear":4,"carb":1,"_row":"Fiat 128"},{"mpg":30.4,"cyl":4,"disp":75.7,"hp":52,"drat":4.93,"wt":1.615,"qsec":18.52,"vs":1,"am":1,"gear":4,"carb":2,"_row":"Honda Civic"},{"mpg":33.9,"cyl":4,"disp":71.1,"hp":65,"drat":4.22,"wt":1.835,"qsec":19.9,"vs":1,"am":1,"gear":4,"carb":1,"_row":"Toyota Corolla"},{"mpg":21.5,"cyl":4,"disp":120.1,"hp":97,"drat":3.7,"wt":2.465,"qsec":20.01,"vs":1,"am":0,"gear":3,"carb":1,"_row":"Toyota Corona"},{"mpg":15.5,"cyl":8,"disp":318,"hp":150,"drat":2.76,"wt":3.52,"qsec":16.87,"vs":0,"am":0,"gear":3,"carb":2,"_row":"Dodge Challenger"},{"mpg":15.2,"cyl":8,"disp":304,"hp":150,"drat":3.15,"wt":3.435,"qsec":17.3,"vs":0,"am":0,"gear":3,"carb":2,"_row":"AMC Javelin"},{"mpg":13.3,"cyl":8,"disp":350,"hp":245,"drat":3.73,"wt":3.84,"qsec":15.41,"vs":0,"am":0,"gear":3,"carb":4,"_row":"Camaro Z28"},{"mpg":19.2,"cyl":8,"disp":400,"hp":175,"drat":3.08,"wt":3.845,"qsec":17.05,"vs":0,"am":0,"gear":3,"carb":2,"_row":"Pontiac Firebird"},{"mpg":27.3,"cyl":4,"disp":79,"hp":66,"drat":4.08,"wt":1.935,"qsec":18.9,"vs":1,"am":1,"gear":4,"carb":1,"_row":"Fiat X1-9"},{"mpg":26,"cyl":4,"disp":120.3,"hp":91,"drat":4.43,"wt":2.14,"qsec":16.7,"vs":0,"am":1,"gear":5,"carb":2,"_row":"Porsche 914-2"},{"mpg":30.4,"cyl":4,"disp":95.1,"hp":113,"drat":3.77,"wt":1.513,"qsec":16.9,"vs":1,"am":1,"gear":5,"carb":2,"_row":"Lotus Europa"},{"mpg":15.8,"cyl":8,"disp":351,"hp":264,"drat":4.22,"wt":3.17,"qsec":14.5,"vs":0,"am":1,"gear":5,"carb":4,"_row":"Ford Pantera L"},{"mpg":19.7,"cyl":6,"disp":145,"hp":175,"drat":3.62,"wt":2.77,"qsec":15.5,"vs":0,"am":1,"gear":5,"carb":6,"_row":"Ferrari Dino"},{"mpg":15,"cyl":8,"disp":301,"hp":335,"drat":3.54,"wt":3.57,"qsec":14.6,"vs":0,"am":1,"gear":5,"carb":8,"_row":"Maserati Bora"},{"mpg":21.4,"cyl":4,"disp":121,"hp":109,"drat":4.11,"wt":2.78,"qsec":18.6,"vs":1,"am":1,"gear":4,"carb":2,"_row":"Volvo 142E"}]
# Cleaning up connections rm(fake_rook, req, res) gc()
#> used (Mb) gc trigger (Mb) max used (Mb) #> Ncells 800347 42.8 1509305 80.7 1509305 80.7 #> Vcells 1542065 11.8 8388608 64.0 2471676 18.9