Clean up tooting and rename files.
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139
bin/post-311.R
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139
bin/post-311.R
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##
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# R script to get data from PublicStuff
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# Note that the API version at https://www.publicstuff.com/developers#!/API is v2.0,
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# but this only includes requests up to a certain date. Use v2.1 for recent requests.
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# Run from one machine, otherwise you'll get duplicate databases that have differing posted items.
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# Run with `Rscript bin/gfk-publicstuff.R`
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# Raspberry Pi: https://www.r-bloggers.com/how-to-install-the-latest-version-of-r-statistics-on-your-raspberry-pi/
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# Can install with sudo apt-get install... but it is 3.1.1 by default.
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library(jsonlite)
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library(rjson)
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library(dplyr)
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library(twitteR)
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library(ini)
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library(mastodon) #devtools::install_github('ThomasChln/mastodon')
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library(RSQLite)
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### Config
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# Authentication variables
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auth <- read.ini("auth.ini")
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# Grab city view for Grand Forks
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space_id <- 15174
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client_id <- 1353 #needed later
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### Get going
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city <- rjson::fromJSON(file=paste0("https://www.publicstuff.com/api/2.1/city_view?space_id=",space_id))
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## Make a data frame of request_type IDs and names
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city_request_types <- as.data.frame(t(sapply(city$response$request_types$request_types,
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function(x) c(x$request_type$id, x$request_type$name))))
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# Add column names
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names(city_request_types) <- c("request_type_id","request_type_name")
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# Loop through request types and get n most recent in each category
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# Unix timestamp from a week ago
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today <- as.numeric(as.POSIXct(Sys.time()))
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week_ago <- today-604800
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# For all request types, get requests from the last week from the PublicStuff API.
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recent_requests <- lapply(city_request_types$request_type_id,
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function(x) jsonlite::fromJSON(paste0("https://www.publicstuff.com/api/2.1/requests_list?request_type_id=",
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x,"&after_timestamp=",week_ago,"&limit=100")))
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# Pull out exactly the data we need
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recent_requests <- lapply(recent_requests, function(x) x$response$requests$request)
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# Drop null list items
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recent_requests <- Filter(Negate(is.null), recent_requests)
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# Image data is in a sub-dataframe, which we don't need
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drop_image <- function(x){
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if(class(x$primary_attachment) == "data.frame") {
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x$primary_attachment <- NULL
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}
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return(x)
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}
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recent_requests <- lapply(recent_requests, drop_image)
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# Put the requests together in a data frame
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recent_requests <- bind_rows(recent_requests)
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# Add URL
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recent_requests$url <- paste0("https://iframe.publicstuff.com/#?client_id=",client_id,"&request_id=",recent_requests$id)
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# Add posted column (to include in database table) and default to 0 (false)
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recent_requests$posted <- 0
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## Store requests in a database
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# Create DB if it doesn't exist, otherwise connect
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mydb <- dbConnect(RSQLite::SQLite(), "requests.sqlite")
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# See if table exists, then get existing rows back
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if(nrow(dbGetQuery(mydb, "SELECT name FROM sqlite_master WHERE type='table' AND name='requests'")) > 0){
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rows.exist <- dbGetQuery(mydb, 'SELECT id FROM requests')$id
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} else rows.exist <- NA
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# Only add rows that don't exist, by request ID
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rows.add <- recent_requests[!recent_requests$id %in% rows.exist,]
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# Add the rows
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dbWriteTable(mydb, "requests", rows.add,append=T)
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# Get out of the database
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dbDisconnect(mydb)
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#### Tooting
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# https://shkspr.mobi/blog/2018/08/easy-guide-to-building-mastodon-bots/
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# https://github.com/ThomasChln/mastodon
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mastodon_token <- login(auth$mastodon$server, auth$mastodon$email, auth$mastodon$password)
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# Each time this script runs, take the oldest n requests, post them, and mark them in the db.
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mydb <- dbConnect(RSQLite::SQLite(), "requests.sqlite")
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#all_requests <- dbGetQuery(mydb, 'SELECT * FROM requests')
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new_requests <- dbGetQuery(mydb, 'SELECT * FROM requests WHERE posted <> 1 ORDER BY date_created')
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# Only post if there are new requests
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if(nrow(new_requests) > 0){
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# Set number of posts allowed at once. Will need to adjust according to cron
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# schedule and number of posts coming in daily so you don't get behind.
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posts_at_once <- min(3, nrow(new_requests))
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# One post per request, up to limit
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for(i in 1:posts_at_once){
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request <- new_requests[i,]
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# Post one selected request
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post_text <- paste0(request$title, " at ", request$address, " (",request$url,"): ", request$description)
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if(nchar(request$image_thumbnail) > 1){
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download.file(gsub("small","large",request$image_thumbnail), 'temp.jpg', mode="wb")
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post_media(mastodon_token, post_text, file = "temp.jpg")
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} else {
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post_status(mastodon_token, post_text)
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}
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# After tweeting or tooting, mark what has been posted.
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# https://cran.r-project.org/web/packages/RSQLite/vignettes/RSQLite.html
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# https://stackoverflow.com/a/43978368/2152245
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# Update posted column as needed
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dbExecute(mydb, "UPDATE requests SET posted = :posted where id = :id",
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params=data.frame(posted=TRUE,
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id=request$id))
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}
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# Get out of the database
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dbDisconnect(mydb)
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# Message to console (if running from script)
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print("Successful toots.")
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} else {
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# Message to console (if running from script)
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print("No requests to toot.")
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}
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#### Tweeting
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# You now need a developer account to set up an app, which takes some time.
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# Do that here: https://developer.twitter.com/en/apply-for-access.html
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# A workaround could be to set up a Mastodon account and then auto-tweet
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# using the fantastic https://crossposter.masto.donte.com.br/.
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# Read authentication values from ini file
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# Don't commit real values to git!
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auth <- read.ini("auth.ini")
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# setup_twitter_oauth(consumer_key = auth$twitter$consumer_key,
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# access_token = auth$twitter$access_token,
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# consumer_secret = auth$twitter$consumer_secret,
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# access_secret = auth$twitter$access_secret)
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# https://rcrastinate.blogspot.com/2018/05/send-tweets-from-r-very-short.html
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