If you don't mind me asking, I've been trying to find out a way to have a discord user say (prefix)randomnumber and then 2 parameters like 1 10 and it picks a random number such as 7. Does anyone know of a way to do this in java script?
You can do like
Math.floor(Math.random()*second_parameter)+first_parameter
and if we take the full code
const args = message.split(' ')
if(args[0] === `${prefix}randomnumber`){
message.channel.send(Math.floor(Math.random()*parseInt(args[2]))+parseInt(args[1]))
Related
So this is my first time coding an actual project that isn't a small coding task. I've got a bot that runs and responds to a message if it says "hello". I've read the API documentation up and down and really only have a vague understanding of it and I'm not sure how to implement it.
My question right now is how would I go about creating a command that takes informationn from a message the command is replying to (sender's name, message content) and stores it as an object. Also, what would be the best way to store that information?
I want to learn while doing this and not just have the answers handed to me ofc, but I feel very lost. Not sure where to even begin.
I tried to find tutorials on coding discord bots that would have similar functions to what I want to do, but can't find anything.
Intro :
Hi NyssaDuke !
First of all, prefer to paste your code instead of a picture. It's easier for us to take your code and try to produce what you wish.
In second, I see an "issue" in your code since you declare twice the bot. You can specify the intents when you declare your bot as bot = commands.Bot(command_prefix="!", intents=intents)
Finally, as stated by #stijndcl , it's against TOS, but I will try to answer you at my best.
filesystem
My bot needs to store data, like users ID, language, and contents relative to a game, to get contacted further. Since we can have a quite big load of requests in a small time, I prefered to use a file to store instead of a list that would disappear on crash, and file allow us to make statistics later. So I decided to use pytables that you can get via pip install pytables. It looks like a small DB in a single file. The file format is HDF5.
Let say we want to create a table containing user name and user id in a file :
import tables
class CUsers (tables.IsDescription) :
user_name = StringCol(32)
user_id = IntCol()
with tables.open_file("UsersTable.h5", mode="w") as h5file :
groupUser = h5file.create_group("/", "Users", "users entries")
tableUser = h5file.create_table(groupUser, "Users", CUsers, "users table")
We have now a file UsersTable.h5 that has an internal table located in root/Users/Users that is accepting CUsers objects, where, therefore, user_name and user_id are the columns of that table.
getting user info and storing it
Let's now code a function that will register user infos, and i'll call it register. We will get the required data from the Context that is passed with the command, and we'll store it in file.
#bot.command(name='register')
async def FuncRegister (ctx) :
with tables.open_file("UsersTable.h5", mode="a") as h5file :
tableUser = h5file.root.Users.Users
particle = tableUser.row
particle['user_name'] = str(ctx.author)
particle['user_id'] = ctx.author.id
particle.append()
tableUser.flush()
The last two lines are sending the particle, that is the active row, so that is an object CUsers, into the file.
An issue I got here is that special characters in a nickname can make the code bug. It's true for "é", "ü", etc, but also cyrillic characters. What I did to counter is to encode the user name into bytes, you can do it by :
particle['user_name'] = str(ctx.author).encode()
reading file
It is where it starts to be interesting. The HFS5 file allows you to use kind of sql statements. Something you have to take in mind is that strings in the file are UTF-8 encoded, so when you extract them, you have to call for .decode(utf-8). Let's now code a function where a user can remove its entry, based on its id :
#bot.command(name="remove")
async def FuncRemove(ctx) :
with tables.open_file("UsersTable.h5", mode="a") as h5file :
tableUser = h5file.root.Users.Users
positions = tableUser.get_where_list("(user_id == '%d')" % ctx.author.id)
nameuser = tableUser[positions[0]]['user_name'].decode('utf-8')
tableUser.remove_row(positions[0])
.get_where_list() returns a list of positions in the file, that I later address to find the right position in the table.
bot.fetch_user(id)
If possible, prefer saving ID over name, as it complicates the code with encode() and decode(), and that bots have access to a wonderful function that is fetch_user(). Let's code a last function that will get you the last entry in your table, and with the id, print the username with the fetch method :
#bot.command(name="last")
async def FuncLast(ctx) :
with tables.open_file("UsersTable.h5", mode="r") as h5file :
tableUser = h5file.root.Users.Users
lastUserIndex = len(tableUser) - 1
iduser = tableUser[lastUserIndex]['user_id']
member = await bot.fetch_user(iduser)
await ctx.send(member.display_name)
For further documentation, check the manual of discord.py, this link to context in particular.
So I'm trying to create a bot that is more universal and can be added to more than one server. I've managed to reformat commands like announce or join messages etc. by using .find("name", "announcements").
My problem is that the same does not work for roles.
I've tried what little I could find on the internet, such as member.guild.roles.find("name", "Member") or member.guild.roles.find(role => role.name === "Member") but none of these work. A variety of different ways return different errors, but they usually say something along the lines of it not being an integer (I think) or snowflake.
This is the function that I am currently wrestling with:
client.on('guildMemberAdd', (member) => {
var joinResponse = ("Hello **" + member.displayName + "**, welcome to **" + member.guild.name + "**!")
let role = member.guild.roles.find("name", "Member");
member.addRole(role).catch(console.error);
member.guild.channels.find('name', 'general').send(joinResponse);
In short summary, what I'm looking for is the ability to get a role by name and add a user to it.
(I'm nearly certain it's possible, since popular bots like Dyno are capable of using commands to add roles to users.)
client.on('guildMemberAdd', (member) => {
const joinResponse = `Hello **${member.user.username}**, welcome to: **${member.guild.name}**!`
let role = member.guild.roles.get('Member');
if(!role) return console.log("Role doesen't exist.");
member.addRole(role);
const ch = member.guild.channels.get('general');
if(!ch) return console.log("Channel doesen't exist.");
ch.send(joinResponse);
});//You didn't have closing brackets (Could've been a problem)
First of all your string joinResponse was a function and you completely messed up merging it, I recommend using Template literal.
I used get function since it's a lot easier to use and cleaner, you only pass ID or name as a string.
To check if channel exists I used if statements and exclamation mark which means doesen't exist/false.
If I helped you please mark this as answer, thanks <3. If you need anything add comment to answer or message me on Discord (You can find my discriminator on my stack overflow profile).
For further explanation click on Blue words.
I have been working on this program for over a week with no breakthrough. The questions states as follows:
A disc file ‘REQUESTS.TXT’ contains airline flight data formatted
(STR6, STR3, STR3, INT).
Example:
AA1011SFxLAx34 (American Airlines 1010, SF to LA, 34 seats)
W0924DNVDFW101 (Western 0924, DNV to DFW, 101 seats)
Another file ‘AVAILABL.TXT’ contains an unspecified number of reservation request records formatted identically as described above except the Seats Available field is a Seats Requested field.
Guidelines:
Read reservation flights and process requests. If the request can be fullfilled (i.e.. it is in AVAILABL and REQUESTS) then print "Reservation Processed", otherwise print "Reservation Denied".
Print out flight data file before and after reservations are processed, ordered by flight ID in a four(4) column format.
Print an overall outcome report for all processed.(Present totals for the number of requests satisfied and denied)
I have tried a few different approaches.. I tried to split up the first STR6 by isalpha/isdigit and combine them to make the FlightID (AA + 1011). Proceeded to try to then split up the remaining characters between STR3 and STR3 via isalpha + for loop. And lastly, I tried to take the last 3+ digits for the # of seats during each for loop iteration and multiply the first digit by 100(for a 3-digit value) or 10(for a 2-digit value), adding it to a running total for availSeats(INT). This, at least I thought so, would produce a
AA+1011 = AA1011(STR6) // W+0924 = W0924(STR6)
SFx(STR3) // DNV(STR3)
LAx(STR3) // DFW(STR3)
(3*10)+(4*1) = 34(INT) // (1*100)+(0*10)+(1*1) = 101(INT)
All of this stored within a Struct Array.
i.e...
FlightData Flight; ............................................FlightData Flight;
Flight[0].flightID = AA1011; .........................Flight[1].flightID = W0924;
Flight[0].fromCity = SFx; ...............................Flight[1].fromCity = DNV;
Flight[0].toCity = LAx; ..................................Flight[1].toCity = DFW;
Flight[0].seatsAvail = 34; .............................Flight[1].seatsAvail = 101;
I am really at a loss right now and have no other way to progress other than searching up different techniques/methods to use to make this work. I am a beginner clearly and will continue to practice and progress in C, but if anyone could provide me with a push in the right direction on how one would execute this via .txt into a Struct would be amazing. Also, if anyone has another method they used to solve this problem I would love to analyze it. Thanks!
(This is my first post, I spent a lot of time formatting it to be clear on Stackoverflow, so If i messed up in areas some constructive critisism would be useful! This applies to my posting and my coding practices. Thanks again!)
EDIT: The question I am asking here is how to successfully take a string such as AA1011SFxLAx34 and turn it into a Structure like the above diagram. It must also work for the second string W0924DNVDFW101 which has only 1 Char in its ID. (rather than two in AA1011). Im not sure what else I am supposed to edit after reading the guidelines.
I consider this a home work question, so I answer according to
How do I ask and answer homework questions?
Find a tutorial on C, work through it.
Then take a HelloWorld, modify it in small steps to approach your goal in steps from working program to working program. This way you should at least get to being able to read text from a file and print it.
Then learn to store parts of what you print into basic variables.
Then learn about structures.
And so on.
This way you will get quite close to the solution.
If it is not completely what you need show the code you have here at that point and ask a specific question about the first problem explaining what you suspect the problem to be. Show code which has exactly that one problem and makes it visible and has not other warnings (using at least e.g. gcc -Wall mycode).
Fix with the help of commments/answers you receive, repeat.
I'm learning how to code and as a first project I thought it would be a good idea to create a little stone paper scissors game against the computer. The problem is, that obviously the computer may not show his choice, so I have to create a function, which makes a random picture x (I'm using Apple's smileys for it) appear on the position x on the screen.
So I have to:
random number between 1 and 3 var rN = GKRandomDistribution(lowestValue: 1, highestValue: 3)
let array = [opStone, opPaper, opScissors] //already declared as files
let choiceOp = array[rN]
choiceOp.position = CGPoint(x. ?, y: ?)
self.addChild(choiceOp)
In theory. The problem is, that Swift does not accept a GKRandom distributed number rN at the third step.
Do you have any ideas how I could do it?
In your step 3, you should call nextInt() on rN. GKRandomDistribution generates a new random number every time you call nextInt() based on the lowest and highest value you have given it at initialization. So your new code would be:
let choiceOp = array[rN.nextInt()]
I wish to search twitter for a word (let's say #google), and then be able to generate a tag cloud of the words used in twitts, but according to dates (for example, having a moving window of an hour, that moves by 10 minutes each time, and shows me how different words gotten more often used throughout the day).
I would appreciate any help on how to go about doing this regarding: resources for the information, code for the programming (R is the only language I am apt in using) and ideas on visualization. Questions:
How do I get the information?
In R, I found that the twitteR package has the searchTwitter command. But I don't know how big an "n" I can get from it. Also, It doesn't return the dates in which the twitt originated from.
I see here that I could get until 1500 twitts, but this requires me to do the parsing manually (which leads me to step 2). Also, for my purposes, I would need tens of thousands of twitts. Is it even possible to get them in retrospect?? (for example, asking older posts each time through the API URL ?) If not, there is the more general question of how to create a personal storage of twitts on your home computer? (a question which might be better left to another SO thread - although any insights from people here would be very interesting for me to read)
How to parse the information (in R)? I know that R has functions that could help from the rcurl and twitteR packages. But I don't know which, or how to use them. Any suggestions would be of help.
How to analyse? how to remove all the "not interesting" words? I found that the "tm" package in R has this example:
reuters <- tm_map(reuters, removeWords, stopwords("english"))
Would this do the trick? I should I do something else/more ?
Also, I imagine I would like to do that after cutting my dataset according to time (which will require some posix-like functions (which I am not exactly sure which would be needed here, or how to use it).
And lastly, there is the question of visualization. How do I create a tag cloud of the words? I found a solution for this here, any other suggestion/recommendations?
I believe I am asking a huge question here but I tried to break it to as many straightforward questions as possible. Any help will be welcomed!
Best,
Tal
Word/Tag cloud in R using "snippets" package
www.wordle.net
Using openNLP package you could pos-tag the tweets(pos=Part of speech) and then extract just the nouns, verbs or adjectives for visualization in a wordcloud.
Maybe you can query twitter and use the current system-time as a time-stamp, write to a local database and query again in increments of x secs/mins, etc.
There is historical data available at http://www.readwriteweb.com/archives/twitter_data_dump_infochimp_puts_1b_connections_up.php and http://www.wired.com/epicenter/2010/04/loc-google-twitter/
As for the plotting piece: I did a word cloud here: http://trends.techcrunch.com/2009/09/25/describe-yourself-in-3-or-4-words/ using the snippets package, my code is in there. I manually pulled out certain words. Check it out and let me know if you have more specific questions.
I note that this is an old question, and there are several solutions available via web search, but here's one answer (via http://blog.ouseful.info/2012/02/15/generating-twitter-wordclouds-in-r-prompted-by-an-open-learning-blogpost/):
require(twitteR)
searchTerm='#dev8d'
#Grab the tweets
rdmTweets <- searchTwitter(searchTerm, n=500)
#Use a handy helper function to put the tweets into a dataframe
tw.df=twListToDF(rdmTweets)
##Note: there are some handy, basic Twitter related functions here:
##https://github.com/matteoredaelli/twitter-r-utils
#For example:
RemoveAtPeople <- function(tweet) {
gsub("#\\w+", "", tweet)
}
#Then for example, remove #d names
tweets <- as.vector(sapply(tw.df$text, RemoveAtPeople))
##Wordcloud - scripts available from various sources; I used:
#http://rdatamining.wordpress.com/2011/11/09/using-text-mining-to-find-out-what-rdatamining-tweets-are-about/
#Call with eg: tw.c=generateCorpus(tw.df$text)
generateCorpus= function(df,my.stopwords=c()){
#Install the textmining library
require(tm)
#The following is cribbed and seems to do what it says on the can
tw.corpus= Corpus(VectorSource(df))
# remove punctuation
tw.corpus = tm_map(tw.corpus, removePunctuation)
#normalise case
tw.corpus = tm_map(tw.corpus, tolower)
# remove stopwords
tw.corpus = tm_map(tw.corpus, removeWords, stopwords('english'))
tw.corpus = tm_map(tw.corpus, removeWords, my.stopwords)
tw.corpus
}
wordcloud.generate=function(corpus,min.freq=3){
require(wordcloud)
doc.m = TermDocumentMatrix(corpus, control = list(minWordLength = 1))
dm = as.matrix(doc.m)
# calculate the frequency of words
v = sort(rowSums(dm), decreasing=TRUE)
d = data.frame(word=names(v), freq=v)
#Generate the wordcloud
wc=wordcloud(d$word, d$freq, min.freq=min.freq)
wc
}
print(wordcloud.generate(generateCorpus(tweets,'dev8d'),7))
##Generate an image file of the wordcloud
png('test.png', width=600,height=600)
wordcloud.generate(generateCorpus(tweets,'dev8d'),7)
dev.off()
#We could make it even easier if we hide away the tweet grabbing code. eg:
tweets.grabber=function(searchTerm,num=500){
require(twitteR)
rdmTweets = searchTwitter(searchTerm, n=num)
tw.df=twListToDF(rdmTweets)
as.vector(sapply(tw.df$text, RemoveAtPeople))
}
#Then we could do something like:
tweets=tweets.grabber('ukgc12')
wordcloud.generate(generateCorpus(tweets),3)
I would like to answer your question in making big word cloud.
What I did is
Use s0.tweet <- searchTwitter(KEYWORD,n=1500) for 7 days or more, such as THIS.
Combine them by this command :
rdmTweets = c(s0.tweet,s1.tweet,s2.tweet,s3.tweet,s4.tweet,s5.tweet,s6.tweet,s7.tweet)
The result:
This Square Cloud consists of about 9000 tweets.
Source: People voice about Lynas Malaysia through Twitter Analysis with R CloudStat
Hope it help!