Rough out the easy parts.
This commit is contained in:
Matt
21
README.md
21
README.md
@ -1,26 +1,11 @@
|
||||
# 311 Poster
|
||||
# Ham License Questions
|
||||
|
||||
This is a toy I built so I wouldn't have to check the [Grand Forks 311](http://www.grandforksgov.com/online-services/gf-311)
|
||||
app/website all the time.
|
||||
This is a toy I built to help myself (and maybe others) be exposed to amateur radio ("ham
|
||||
radio") license exam questions, which are public in the US.
|
||||
|
||||
It currently toots to Mastodon at [@hackgfk_311@botsin.space](https://botsin.space/@hackgfk_311).
|
||||
Toots are converted to tweets ([@hackgfk_311](https://twitter.com/hackgfk_311)) with @renatolond's wonderful
|
||||
crossposter: https://crossposter.masto.donte.com.br ([source code](https://github.com/renatolond/mastodon-twitter-poster)).
|
||||
|
||||
Written in R because I'm much quicker at that than Python, and it seemed like a fun use case.
|
||||
|
||||
Pull requests always welcome!
|
||||
|
||||
# 311_ebooks
|
||||
|
||||
In Python (because why stay consistent?), this script takes the corpus out of the local 311 database
|
||||
and builds an [ebooks-style](https://en.wikipedia.org/wiki/Horse_ebooks) toot using Markovify.
|
||||
|
||||
Currently tooting at [@hackgfk_311_ebooks@botsin.space](https://botsin.space/@hackgfk_311_ebooks).
|
||||
|
||||
-----
|
||||
# Hack Grand Forks
|
||||
|
||||
I named the repo something general because I'd like to add more tools/bots in the future to help get
|
||||
people engaged in this type of thing. If you have any ideas or would like to contribute to a grander
|
||||
"Hack Grand Forks" idea, [open an issue](https://github.com/mattbk/hack-grand-forks/issues) and we can talk.
|
||||
@ -1,61 +0,0 @@
|
||||
|
||||
|
||||
import markovify #https://github.com/jsvine/markovify
|
||||
import sqlite3 #to read db
|
||||
from mastodon import Mastodon
|
||||
from configparser import ConfigParser
|
||||
import os.path
|
||||
|
||||
# Open the db
|
||||
conn = sqlite3.connect('requests.sqlite')
|
||||
c = conn.cursor()
|
||||
|
||||
def get_descriptions():
|
||||
c.execute('SELECT description FROM requests')
|
||||
data = c.fetchall()
|
||||
return(data)
|
||||
|
||||
# Get descriptions and convert to strings from tuples
|
||||
b = ["".join(str(x).replace("\\r\\n","")) for x in get_descriptions()]
|
||||
|
||||
# Build the model.
|
||||
text_model = markovify.Text(b)
|
||||
|
||||
# Print three randomly-generated sentences of no more than 280 characters
|
||||
#for i in range(3):
|
||||
# print(text_model.make_short_sentence(280))
|
||||
|
||||
# Next up use this to toot: https://github.com/halcy/Mastodon.py
|
||||
|
||||
# parse existing file
|
||||
config = ConfigParser()
|
||||
config.read('auth.ini')
|
||||
|
||||
# read values from a section
|
||||
server = config.get('hackgfk_311_ebooks', 'server')
|
||||
email = config.get('hackgfk_311_ebooks', 'email')
|
||||
password = config.get('hackgfk_311_ebooks', 'password')
|
||||
|
||||
# Register the app (once)
|
||||
if not os.path.isfile('hackgfk_311_ebooks_clientcred.secret'):
|
||||
Mastodon.create_app(
|
||||
'hackgfk_311_ebooks',
|
||||
api_base_url = server,
|
||||
to_file = 'hackgfk_311_ebooks_clientcred.secret'
|
||||
)
|
||||
|
||||
# Log in
|
||||
mastodon = Mastodon(
|
||||
client_id = 'hackgfk_311_ebooks_clientcred.secret',
|
||||
api_base_url = server,
|
||||
)
|
||||
mastodon.log_in(
|
||||
email,
|
||||
password,
|
||||
to_file = 'hackgfk_311_ebooks_usercred.secret'
|
||||
)
|
||||
|
||||
# Send toot
|
||||
toot = text_model.make_short_sentence(280)
|
||||
print(toot)
|
||||
mastodon.toot(toot)
|
||||
181
bin/post-311.R
181
bin/post-311.R
@ -1,181 +0,0 @@
|
||||
##
|
||||
# R script to get data from PublicStuff
|
||||
# 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.
|
||||
|
||||
# Run from one machine, otherwise you'll get duplicate databases that have differing posted items.
|
||||
# Run with `Rscript bin/gfk-publicstuff.R`
|
||||
|
||||
# Raspberry Pi: https://www.r-bloggers.com/how-to-install-the-latest-version-of-r-statistics-on-your-raspberry-pi/
|
||||
# Can install in Jessie with sudo apt-get install... but it is 3.1.1 by default.
|
||||
|
||||
# Log the start time
|
||||
print(paste("311 script started at", Sys.time()))
|
||||
|
||||
library(jsonlite)
|
||||
library(ini)
|
||||
library(mastodon) #devtools::install_github('ThomasChln/mastodon')
|
||||
library(RSQLite)
|
||||
library(stringr)
|
||||
library(emo) #devtools::install_github("hadley/emo")
|
||||
|
||||
### Config
|
||||
# Authentication variables
|
||||
auth <- read.ini("auth.ini")
|
||||
# Grab city view for Grand Forks
|
||||
space_id <- 15174
|
||||
client_id <- 1353 #needed later
|
||||
|
||||
|
||||
### Get going
|
||||
city <- jsonlite::fromJSON(txt=paste0("https://www.publicstuff.com/api/2.1/city_view?space_id=",space_id))
|
||||
## Make a data frame of request_type IDs and names
|
||||
city_request_types <- city$response$request_types$request_types$request_type[,c("id","name")]
|
||||
|
||||
# Add column names
|
||||
names(city_request_types) <- c("request_type_id","request_type_name")
|
||||
# Loop through request types and get n most recent in each category
|
||||
# Unix timestamp from a week ago
|
||||
today <- as.numeric(as.POSIXct(Sys.time()))
|
||||
week_ago <- today-604800
|
||||
# For all request types, get requests from the last week from the PublicStuff API.
|
||||
recent_requests <- lapply(city_request_types$request_type_id,
|
||||
function(x) jsonlite::fromJSON(paste0("https://www.publicstuff.com/api/2.1/requests_list?request_type_id=",
|
||||
x,"&after_timestamp=",week_ago,"&limit=100")))
|
||||
# Pull out exactly the data we need
|
||||
recent_requests <- lapply(recent_requests, function(x) x$response$requests$request)
|
||||
# Drop null list items
|
||||
recent_requests <- Filter(Negate(is.null), recent_requests)
|
||||
# Image data is in a sub-dataframe, which we don't need
|
||||
drop_image <- function(x){
|
||||
if(class(x$primary_attachment) == "data.frame") {
|
||||
x$primary_attachment <- NULL
|
||||
}
|
||||
return(x)
|
||||
}
|
||||
recent_requests <- lapply(recent_requests, drop_image)
|
||||
# Put the requests together in a data frame
|
||||
recent_requests <- do.call("rbind",recent_requests)
|
||||
# Add URL
|
||||
recent_requests$url <- paste0("https://iframe.publicstuff.com/#?client_id=",client_id,"&request_id=",recent_requests$id)
|
||||
# Add posted column (to include in database table) and default to 0 (false)
|
||||
recent_requests$posted <- 0
|
||||
# Add request_type ID
|
||||
recent_requests <- merge(recent_requests,city_request_types, by.x = "title", by.y = "request_type_name", all.x=T)
|
||||
|
||||
## Store requests in a database
|
||||
# Create DB if it doesn't exist, otherwise connect
|
||||
mydb <- dbConnect(RSQLite::SQLite(), "requests.sqlite")
|
||||
# See if table exists, then get existing rows back
|
||||
if(nrow(dbGetQuery(mydb, "SELECT name FROM sqlite_master WHERE type='table' AND name='requests'")) > 0){
|
||||
rows.exist <- dbGetQuery(mydb, 'SELECT id FROM requests')$id
|
||||
col_names <- names(dbGetQuery(mydb, 'SELECT * FROM requests'))
|
||||
} else rows.exist <- NA
|
||||
# Only add rows that don't exist, by request ID
|
||||
rows.add <- recent_requests[!recent_requests$id %in% rows.exist,]
|
||||
# Add the rows (rarrange to be in right order)
|
||||
dbWriteTable(mydb, "requests", rows.add[,col_names],append=T)
|
||||
# Get out of the database
|
||||
dbDisconnect(mydb)
|
||||
|
||||
#### Tooting
|
||||
# https://shkspr.mobi/blog/2018/08/easy-guide-to-building-mastodon-bots/
|
||||
# https://github.com/ThomasChln/mastodon
|
||||
mastodon_token <- login(auth$mastodon$server, auth$mastodon$email, auth$mastodon$password)
|
||||
|
||||
# Each time this script runs, take the oldest n requests, post them, and mark them in the db.
|
||||
mydb <- dbConnect(RSQLite::SQLite(), "requests.sqlite")
|
||||
#all_requests <- dbGetQuery(mydb, 'SELECT * FROM requests')
|
||||
new_requests <- dbGetQuery(mydb, 'SELECT * FROM requests WHERE posted <> 1 ORDER BY date_created')
|
||||
|
||||
# Only post if there are new requests
|
||||
if(nrow(new_requests) > 0){
|
||||
# Set number of posts allowed at once. Will need to adjust according to cron
|
||||
# schedule and number of posts coming in daily so you don't get behind.
|
||||
posts_at_once <- min(3, nrow(new_requests))
|
||||
# One post per request, up to limit
|
||||
for(i in 1:posts_at_once){
|
||||
# Select request
|
||||
request <- new_requests[i,]
|
||||
# Determine emoji from request_type_id
|
||||
emoji <- emo::ji("interrobang") # default
|
||||
if(request$request_type_id==28157){
|
||||
emoji <- emo::ji("biohazard")
|
||||
} else if(request$request_type_id==28158){
|
||||
emoji <- emo::ji("poop")
|
||||
} else if(request$request_type_id==28400){
|
||||
emoji <- emo::ji("bicycle")
|
||||
} else if(request$request_type_id==28171){
|
||||
emoji <- emo::ji("recycle")
|
||||
} else if(request$request_type_id==32004){
|
||||
emoji <- emo::ji("snowflake")
|
||||
} else if(request$request_type_id==28155){
|
||||
emoji <- emo::ji("car")
|
||||
} else if(request$request_type_id==28086){
|
||||
emoji <- emo::ji("leaves")
|
||||
} else if(request$request_type_id==28060){
|
||||
emoji <- emo::ji("bulb")
|
||||
} else if(request$request_type_id==27903){
|
||||
emoji <- emo::ji("seedling")
|
||||
} else if(request$request_type_id==27902){
|
||||
emoji <- emo::ji("tractor")
|
||||
} else if(request$request_type_id==27901){
|
||||
emoji <- emo::ji("alarm")
|
||||
} else if(request$request_type_id==26104){
|
||||
emoji <- emo::ji("pick")
|
||||
} else if(request$request_type_id==26096){
|
||||
emoji <- emo::ji("biohazard")
|
||||
} else emoji <- emo::ji("interrobang") #27904, general concern
|
||||
|
||||
# Add emoji from request description
|
||||
if(grepl("dog|dogs", request$description)) {
|
||||
emoji <- paste0(emoji, emo::ji("dog"))
|
||||
}
|
||||
if(grepl("parking", request$description)) {
|
||||
emoji <- paste0(emoji, emo::ji("parking"))
|
||||
}
|
||||
if(grepl("leaf|leaves", request$description)) {
|
||||
emoji <- paste0(emoji, emo::ji("fallen_leaf"))
|
||||
}
|
||||
if(grepl("flood|floods", request$description)) {
|
||||
emoji <- paste0(emoji, emo::ji("ocean"))
|
||||
}
|
||||
if(grepl("speeding", request$description)) {
|
||||
emoji <- paste0(emoji, emo::ji("rocket"))
|
||||
}
|
||||
if(grepl("pedestrian|pedestrians|walkers", request$description)) {
|
||||
emoji <- paste0(emoji, emo::ji("walking"))
|
||||
}
|
||||
|
||||
# Post one selected request
|
||||
post_text <- str_trunc(paste0(emoji, " ", request$title, " at ", str_squish(request$address), " (",request$url,"): ", request$description),500)
|
||||
# Check for image
|
||||
if(nchar(request$image_thumbnail, keepNA = F) > 2 ){
|
||||
# Get the image
|
||||
download.file(gsub("small","large",request$image_thumbnail), 'temp.jpg', mode="wb")
|
||||
# Post
|
||||
post_media(mastodon_token, post_text, file = "temp.jpg")
|
||||
} else {
|
||||
# Post without image
|
||||
post_status(mastodon_token, post_text)
|
||||
}
|
||||
|
||||
# After tooting, mark what has been posted.
|
||||
# https://cran.r-project.org/web/packages/RSQLite/vignettes/RSQLite.html
|
||||
# https://stackoverflow.com/a/43978368/2152245
|
||||
|
||||
# Update posted column as needed
|
||||
dbExecute(mydb, "UPDATE requests SET posted = :posted where id = :id",
|
||||
params=data.frame(posted=TRUE,
|
||||
id=request$id))
|
||||
}
|
||||
# Get out of the database
|
||||
dbDisconnect(mydb)
|
||||
|
||||
# Message to console (if running from script)
|
||||
print("Successful toots.")
|
||||
} else {
|
||||
# Message to console (if running from script)
|
||||
print("No requests to toot.")
|
||||
}
|
||||
|
||||
230
bin/toot-ham-license-qs.R
Normal file
230
bin/toot-ham-license-qs.R
Normal file
@ -0,0 +1,230 @@
|
||||
##
|
||||
# R script to get data from PublicStuff
|
||||
# Note that the API version at https://www.publicstuff.com/developers#!/API is v2.0,
|
||||
# but this only includes requests up to a certain date. Use v2.1 for recent requests.
|
||||
|
||||
# Run from one machine, otherwise you'll get duplicate databases that have differing posted items.
|
||||
# Run with `Rscript bin/gfk-publicstuff.R`
|
||||
|
||||
# Raspberry Pi: https://www.r-bloggers.com/how-to-install-the-latest-version-of-r-statistics-on-your-raspberry-pi/
|
||||
# Can install in Jessie with sudo apt-get install... but it is 3.1.1 by default.
|
||||
|
||||
# Log the start time
|
||||
#print(paste("311 script started at", Sys.time()))
|
||||
|
||||
library(jsonlite)
|
||||
library(ini)
|
||||
library(mastodon) #devtools::install_github('ThomasChln/mastodon')
|
||||
library(RSQLite)
|
||||
library(stringr)
|
||||
library(emo) #devtools::install_github("hadley/emo")
|
||||
|
||||
### Config
|
||||
# Authentication variables
|
||||
auth <- read.ini("auth.ini")
|
||||
# # Grab city view for Grand Forks
|
||||
# space_id <- 15174
|
||||
# client_id <- 1353 #needed later
|
||||
|
||||
|
||||
# ### Get going
|
||||
# city <- jsonlite::fromJSON(txt=paste0("https://www.publicstuff.com/api/2.1/city_view?space_id=",space_id))
|
||||
# ## Make a data frame of request_type IDs and names
|
||||
# city_request_types <- city$response$request_types$request_types$request_type[,c("id","name")]
|
||||
#
|
||||
# # Add column names
|
||||
# names(city_request_types) <- c("request_type_id","request_type_name")
|
||||
# # Loop through request types and get n most recent in each category
|
||||
# # Unix timestamp from a week ago
|
||||
# today <- as.numeric(as.POSIXct(Sys.time()))
|
||||
# week_ago <- today-604800
|
||||
# # For all request types, get requests from the last week from the PublicStuff API.
|
||||
# recent_requests <- lapply(city_request_types$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=100")))
|
||||
# # Pull out exactly the data we need
|
||||
# recent_requests <- lapply(recent_requests, function(x) x$response$requests$request)
|
||||
# # Drop null list items
|
||||
# recent_requests <- Filter(Negate(is.null), recent_requests)
|
||||
# # Image data is in a sub-dataframe, which we don't need
|
||||
# drop_image <- function(x){
|
||||
# if(class(x$primary_attachment) == "data.frame") {
|
||||
# x$primary_attachment <- NULL
|
||||
# }
|
||||
# return(x)
|
||||
# }
|
||||
# recent_requests <- lapply(recent_requests, drop_image)
|
||||
# # Put the requests together in a data frame
|
||||
# recent_requests <- do.call("rbind",recent_requests)
|
||||
# # Add URL
|
||||
# recent_requests$url <- paste0("https://iframe.publicstuff.com/#?client_id=",client_id,"&request_id=",recent_requests$id)
|
||||
# # Add posted column (to include in database table) and default to 0 (false)
|
||||
# recent_requests$posted <- 0
|
||||
# # Add request_type ID
|
||||
# recent_requests <- merge(recent_requests,city_request_types, by.x = "title", by.y = "request_type_name", all.x=T)
|
||||
#
|
||||
# ## Store requests in a database
|
||||
# # Create DB if it doesn't exist, otherwise connect
|
||||
# mydb <- dbConnect(RSQLite::SQLite(), "requests.sqlite")
|
||||
# # See if table exists, then get existing rows back
|
||||
# if(nrow(dbGetQuery(mydb, "SELECT name FROM sqlite_master WHERE type='table' AND name='requests'")) > 0){
|
||||
# rows.exist <- dbGetQuery(mydb, 'SELECT id FROM requests')$id
|
||||
# col_names <- names(dbGetQuery(mydb, 'SELECT * FROM requests'))
|
||||
# } else rows.exist <- NA
|
||||
# # Only add rows that don't exist, by request ID
|
||||
# rows.add <- recent_requests[!recent_requests$id %in% rows.exist,]
|
||||
# # Add the rows (rarrange to be in right order)
|
||||
# dbWriteTable(mydb, "requests", rows.add[,col_names],append=T)
|
||||
# # Get out of the database
|
||||
# dbDisconnect(mydb)
|
||||
|
||||
#### Tooting
|
||||
# https://shkspr.mobi/blog/2018/08/easy-guide-to-building-mastodon-bots/
|
||||
# https://github.com/ThomasChln/mastodon
|
||||
mastodon_token <- login(auth$mastodon$server, auth$mastodon$email, auth$mastodon$password)
|
||||
|
||||
|
||||
# Test vector of toots
|
||||
# This is where a df of questions, answer options, and any figures will go
|
||||
db <- data.frame(license = letters,
|
||||
question = LETTERS,
|
||||
ans1 = rev(letters),
|
||||
ans2 = letters,
|
||||
ans3 = rev(letters),
|
||||
ans4 = rev(LETTERS),
|
||||
ans_correct = letters,
|
||||
fig_path = rev(LETTERS))
|
||||
|
||||
# TODO pull all questions from https://github.com/russolsen/ham_radio_question_pool
|
||||
# Arrange data frame accordingly.
|
||||
|
||||
|
||||
# Choose a random row to toot
|
||||
toot_row <- db[sample(1:nrow(db), 1), ]
|
||||
# Scramble answers
|
||||
ans_options <- rep(paste0("\n- ",
|
||||
sample(as.character(toot_row[1,3:6])),
|
||||
collapse = ""))
|
||||
|
||||
# Build question
|
||||
post_text <- paste0(toot_row[['license']],
|
||||
": ",
|
||||
toot_row[['question']],
|
||||
ans_options)
|
||||
|
||||
# Toot the thing!
|
||||
post_status(mastodon_token,
|
||||
post_text)
|
||||
|
||||
# Check for image
|
||||
if(!is.na(toot_row[['fig_path']])){
|
||||
# Post
|
||||
post_media(mastodon_token, post_text, file = toot_row[['fig_path']])
|
||||
} else {
|
||||
# Post without image
|
||||
post_status(mastodon_token, post_text)
|
||||
}
|
||||
|
||||
|
||||
#
|
||||
#
|
||||
#
|
||||
#
|
||||
#
|
||||
#
|
||||
# # Each time this script runs, take the oldest n requests, post them, and mark them in the db.
|
||||
# mydb <- dbConnect(RSQLite::SQLite(), "requests.sqlite")
|
||||
# #all_requests <- dbGetQuery(mydb, 'SELECT * FROM requests')
|
||||
# new_requests <- dbGetQuery(mydb, 'SELECT * FROM requests WHERE posted <> 1 ORDER BY date_created')
|
||||
#
|
||||
# # Only post if there are new requests
|
||||
# if(nrow(new_requests) > 0){
|
||||
# # Set number of posts allowed at once. Will need to adjust according to cron
|
||||
# # schedule and number of posts coming in daily so you don't get behind.
|
||||
# posts_at_once <- min(3, nrow(new_requests))
|
||||
# # One post per request, up to limit
|
||||
# for(i in 1:posts_at_once){
|
||||
# # Select request
|
||||
# request <- new_requests[i,]
|
||||
# # Determine emoji from request_type_id
|
||||
# emoji <- emo::ji("interrobang") # default
|
||||
# if(request$request_type_id==28157){
|
||||
# emoji <- emo::ji("biohazard")
|
||||
# } else if(request$request_type_id==28158){
|
||||
# emoji <- emo::ji("poop")
|
||||
# } else if(request$request_type_id==28400){
|
||||
# emoji <- emo::ji("bicycle")
|
||||
# } else if(request$request_type_id==28171){
|
||||
# emoji <- emo::ji("recycle")
|
||||
# } else if(request$request_type_id==32004){
|
||||
# emoji <- emo::ji("snowflake")
|
||||
# } else if(request$request_type_id==28155){
|
||||
# emoji <- emo::ji("car")
|
||||
# } else if(request$request_type_id==28086){
|
||||
# emoji <- emo::ji("leaves")
|
||||
# } else if(request$request_type_id==28060){
|
||||
# emoji <- emo::ji("bulb")
|
||||
# } else if(request$request_type_id==27903){
|
||||
# emoji <- emo::ji("seedling")
|
||||
# } else if(request$request_type_id==27902){
|
||||
# emoji <- emo::ji("tractor")
|
||||
# } else if(request$request_type_id==27901){
|
||||
# emoji <- emo::ji("alarm")
|
||||
# } else if(request$request_type_id==26104){
|
||||
# emoji <- emo::ji("pick")
|
||||
# } else if(request$request_type_id==26096){
|
||||
# emoji <- emo::ji("biohazard")
|
||||
# } else emoji <- emo::ji("interrobang") #27904, general concern
|
||||
#
|
||||
# # Add emoji from request description
|
||||
# if(grepl("dog|dogs", request$description)) {
|
||||
# emoji <- paste0(emoji, emo::ji("dog"))
|
||||
# }
|
||||
# if(grepl("parking", request$description)) {
|
||||
# emoji <- paste0(emoji, emo::ji("parking"))
|
||||
# }
|
||||
# if(grepl("leaf|leaves", request$description)) {
|
||||
# emoji <- paste0(emoji, emo::ji("fallen_leaf"))
|
||||
# }
|
||||
# if(grepl("flood|floods", request$description)) {
|
||||
# emoji <- paste0(emoji, emo::ji("ocean"))
|
||||
# }
|
||||
# if(grepl("speeding", request$description)) {
|
||||
# emoji <- paste0(emoji, emo::ji("rocket"))
|
||||
# }
|
||||
# if(grepl("pedestrian|pedestrians|walkers", request$description)) {
|
||||
# emoji <- paste0(emoji, emo::ji("walking"))
|
||||
# }
|
||||
#
|
||||
# # Post one selected request
|
||||
# post_text <- str_trunc(paste0(emoji, " ", request$title, " at ", str_squish(request$address), " (",request$url,"): ", request$description),500)
|
||||
# # Check for image
|
||||
# if(nchar(request$image_thumbnail, keepNA = F) > 2 ){
|
||||
# # Get the image
|
||||
# download.file(gsub("small","large",request$image_thumbnail), 'temp.jpg', mode="wb")
|
||||
# # Post
|
||||
# post_media(mastodon_token, post_text, file = "temp.jpg")
|
||||
# } else {
|
||||
# # Post without image
|
||||
# post_status(mastodon_token, post_text)
|
||||
# }
|
||||
#
|
||||
# # After tooting, mark what has been posted.
|
||||
# # https://cran.r-project.org/web/packages/RSQLite/vignettes/RSQLite.html
|
||||
# # https://stackoverflow.com/a/43978368/2152245
|
||||
#
|
||||
# # Update posted column as needed
|
||||
# dbExecute(mydb, "UPDATE requests SET posted = :posted where id = :id",
|
||||
# params=data.frame(posted=TRUE,
|
||||
# id=request$id))
|
||||
# }
|
||||
# # Get out of the database
|
||||
# dbDisconnect(mydb)
|
||||
#
|
||||
# # Message to console (if running from script)
|
||||
# print("Successful toots.")
|
||||
# } else {
|
||||
# # Message to console (if running from script)
|
||||
# print("No requests to toot.")
|
||||
# }
|
||||
|
||||
Reference in New Issue
Block a user