matt/hack-grand-forks
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Get closer to parsing JSON right.

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mattbk
2018-10-31 17:12:02 -05:00
parent a0253db442
commit f73a2f0997
1 changed files with 12 additions and 2 deletions
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14
bin/gfk-publicstuff.R
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@@ -3,10 +3,11 @@
# Note that the API version at https://www.publicstuff.com/developers#!/API is v2.0, # Note that the API version at https://www.publicstuff.com/developers#!/API is v2.0,
# but this only includes requests up to a certain date. Use v2.1 for recent requests. # but this only includes requests up to a certain date. Use v2.1 for recent requests.
library(jsonlite)
library(rjson) library(rjson)
# Grab city view for Grand Forks # Grab city view for Grand Forks
gfk <- fromJSON(file="https://www.publicstuff.com/api/2.1/city_view?space_id=15174") gfk <- rjson::fromJSON(file="https://www.publicstuff.com/api/2.1/city_view?space_id=15174")
## Make a data frame of request_type IDs and names ## Make a data frame of request_type IDs and names
gfk_request_types <- as.data.frame(t(sapply(gfk$response$request_types$request_types, gfk_request_types <- as.data.frame(t(sapply(gfk$response$request_types$request_types,
function(x) c(x$request_type$id, x$request_type$name)))) function(x) c(x$request_type$id, x$request_type$name))))
@@ -16,8 +17,17 @@ names(gfk_request_types) <- c("request_type_id","request_type_name")
# Unix timestamp from a week ago # Unix timestamp from a week ago
today <- as.numeric(as.POSIXct(Sys.time())) today <- as.numeric(as.POSIXct(Sys.time()))
week_ago <- today-604800 week_ago <- today-604800
gfk_requests <- lapply(gfk_request_types$request_type_id, gfk_requests <- lapply(gfk_request_types$request_type_id,
function(x) fromJSON(file=paste0("https://www.publicstuff.com/api/2.1/requests_list?request_type_id=", function(x) jsonlite::fromJSON(paste0("https://www.publicstuff.com/api/2.1/requests_list?request_type_id=",
x,"&after_timestamp=",week_ago,"&limit=10"))) x,"&after_timestamp=",week_ago,"&limit=10")))
#gfk_requests1[sapply(gfk_requests1 , is.null)] <- NULL
gfk_requests <- lapply(gfk_requests, function(x) x$response$requests$request)
## Need to clear out attachments in some way here
# Drop nulls
b<-Filter(Negate(is.null), gfk_requests)
gfk_requests <- dplyr::bind_rows(b)