Version 3.1.5 (May 3, 2009)
Author | Tim Morgan (riscfuture@gmail.com) |
Copyright | Copyright ©2007-2009 Tim Morgan |
License | Distributed under the same terms as Ruby. Portions of this code are copyright ©2004 David Heinemeier Hansson; please see libs/inheritable_attributes.rb for more information. |
Autumn is a full-featured framework on top of which IRC bots (called “leaves”)
can be quickly and easily built. It features a very Ruby-like approach to
bot-writing, a complete framework for loading and daemonizing your bots,
multiple environment contexts, a database-backed model, and painless logging
support.
Autumn requires RubyGems and the Daemons and Facets*
gems, as well as some of the gems spun off from Facets. Install RubyGems then
run sudo gem install daemons facets anise english
in a command line in order
to run Autumn.
If you wish to use a database backend for your bot, you will need the DataMapper
gem. To install, see the DataMapper website.
The included example bot Scorekeeper requires the DataMapper gem. It can
optionally use the Chronic gem to enhance its textual date parsing. The other
example bot, Insulter, is much simpler and can run under any Autumn
configuration.
If you wish to install all possible dependencies, use rake setup
An Autumn installation is like a Ruby on Rails installation: There is a
certain directory structure where your files go. A lot of files and folders will
seem confusing to people who have never used Autumn before, but bear with me. In
a bit I will explain in detail what all of this stuff is. For now, here is an
overview you can consult for future reference:
- config/ – Configuration files and season definitions
- global.yml – Universal settings that apply to every season
- seasons/ – Contains directories for each season (see Seasons)
- testing/ – Example season
- database.yml – Example database configuration file
- leaves.yml – Example bot configuration file
- season.yml – Season configuration
- stems.yml – Example IRC configuration file
- testing/ – Example season
- seasons/ – Contains directories for each season (see Seasons)
- global.yml – Universal settings that apply to every season
- doc/ – HTML documentation generated by RDoc
- leaves/ – Autumn leaves documentation
- leaves/ – Autumn leaves. Each subdirectory contains all the code and
data for a leaf.- insulter/ – Very simple example leaf
- See the scorekeeper directory
- scorekeeper/ – Database-backed, full-featured example leaf
- config.yml – Optional leaf-global configuration options
- controller.rb – The leaf’s controller object
- data/ – Optional directory for data storage (not used by Autumn)
- helpers/ – Modules that extend the controller and views
- models/ – Active record-type database objects
- tasks/ – Additional rake tasks for this leaf (see Custom leaf tasks)
- views/ – ERb views for each of the leaf’s commands
- insulter/ – Very simple example leaf
- log/ – Directory where (most) Autumn logs are written (see the Logs
section) - Rakefile – Contains the rake tasks used to control Autumn (see the Tasks
section) - README – RDoc-formatted readme
- README.textile – This file
- script/ – Helper scripts for controlling Autumn
- destroy – Destroys Autumn objects
- generate – Creates Autumn objects
- shared/ – Shared code libraries available to all leaves
- tmp/ – Temporary files, such as PID files
Before you can run Autumn and try out the example leaves, you’ll need to set up
a few things. Here are the steps:
To create a new tree, change to a directory where you want your bot to run from,
then use autumn create PROJECT to create the directory (PROJECT should
be replaced with your bot’s name) with the structure outlined above.
In Autumn, your leaves run in an environment, called a “season.” Each season has
different leaves and different settings for those leaves. By default, Autumn
comes with a season called “testing” already set up for you. You can edit that
season or create a new one with script/generate season [season name]
. The
files for your season are stored in the config/seasons directory.
First, edit the stems.yml file. This file stores information about your
IRC connection. Edit it to connect to an IRC server of your choosing. For more
information, see Stems below.
Next, edit the database.yml file. As mentioned previously, Scorekeeper
requires the DataMapper gem because it uses a persistent store. By default it’s
set up to use a SQLite 3 database, but you can use PostgreSQL or MySQL if you’d
like. If you’d prefer not to install any of these database solutions, delete the
database.yml file and remove the Scorekeeper leaf from the
leaves.yml and stems.yml files.
If you do choose to set up a database, you will have to run rake db:migrate
after your database.yml file is configured and your database is
created.
Lastly, view the leaves.yml file. You shouldn’t have to make any
changes to this file, but it’s a good idea to look at it to see how leaves are
configured. You can do the same with the season.yml file. See Seasons
and Leaves below for more.
Run the shell command autumn start
to start the server. After a short
while, your leaf should appear in the channel you specified. You can type
“!points Coolguy +5” and then “!points” to get started using Scorekeeper, or
“!insult” to play with Insulter. Have some fun, and when you’re satisfied, stop
the server by typing “!quit”.
If you’d like to daemonize your server, you can use the shell commands
rake app:start
and rake app:stop
. For more information, see Tasks below.
Making your own leaf using Autumn is easy. In this tutorial, I’ll show you how
to make a simple Fortune bot that responds to a few basic commands.
Create a new leaf by typing script/generate leaf fortune
. This will create a
fortune directory in the leaves directory, along with the bare
bones of files needed within that directory. Edit the controller.rb
file. First we’ll create an array to hold our fortunes:
FORTUNES = [
"You will make someone happy today.",
"Someone you don't expect will be important to you today.",
"Today will bring unexpected hardships."
]
As you can see, our 3 meager fortunes are stored in the FORTUNES
class
constant. Now, we’ll want it to respond to the “!fortune” command, and all you
have to do is create a method called fortune_command
to make it work:
def fortune_command(stem, sender, reply_to, msg)
FORTUNES.pick
end
The pick
method is provided by Facets, so you may need to add a require
'facets/random'
line at the top of your file. Our method returns a
fortune at random, which is automatically transmitted to the channel or nick
where the command was received.
Of course, any self-respecting fortune bot announces its presence when it starts
up, so, in your Controller
class, override the Autumn::Leaf#did_start_up
method to display a cheerful greeting:
def did_start_up
stems.message 'FortuneBot at your service! Type "!fortune" to get your fortune!'
end
…and that’s it! You now have a fully functional fortune bot featuring — not
two — but three unique and exciting fortunes!
(For more on that stems.message
bit, see Stems.)
If you want, you can add the fortune bot to your leaves.yml and
stems.yml files to try it out. Adding a leaf is easy; simply duplicate
the structure used for another leaf’s entry and change the values as
appropriate. A typical two-leaf configuration will look like:
Scorekeeper:
class: Scorekeeper
respond_to_private_messages: false
Fortune:
class: Fortune
respond_to_private_messages: true
As you notice, each leaf instance is given a name. In this example the name
happens to be the same as the leaf’s type name, but you could run two copies of
a leaf like so:
Fortune1:
class: Fortune
Fortune2:
class: Fortune
This doesn’t make a whole lot of sense for our fortune bot, but for more
complicated bots it can be useful.
We’ve created the leaf, but we have to add it to the stem for it to work.
(Remember, a stem is an IRC connection and a leaf is a bot.) So, in your
stems.yml file, add an entry for this leaf. Your new config will appear
something like:
Example:
nick: Scorekeeper
leaves:
- Scorekeeper
- Insulter
- Fortune
rejoin: true
channel: somechannel
server: irc.someserver.com
When you restart the server, the bot will come back online and will now also
respond to the “!fortune” command. This is a helpful tutorial on how stems and
leaves are separate. One leaf can have many stems, and one stem can have many
leaves. You can combine these two entities however you need.
You’ve already learned that for your [word]_command
-type methods, the bot
responds with whatever string your method returns. For more complicated
commands, however, you may want to upgrade to full view abstraction, a la Ruby
on Rails. This is what the views directory is for.
If you place a .txt.erb file in the views directory named
after your command, it will be parsed by ERb and rendered as the result. You can
pass variables to the ERb parser by using the Autumn::Leaf#var
method. Let’s
upgrade our fortune_command
method for that:
def fortune_command(stem, sender, reply_to, msg)
var :fortune => FORTUNES.pick
end
We can then write a view, fortune.txt.erb, which will render the
fortune:
<%= var :fortune %>
OK, so admittedly, this doesn’t really get us anywhere, but for more complicated
bots, this well help separate view and controller concerns.
For more information on view rendering, see the Autumn::Leaf#render
method.
Each time you start Autumn, the process launches in a certain season (a.k.a.
environment context). This season is defined in the config/global.yml
file. You can temporarily override it by setting the SEASON
environment
variable (e.g., SEASON=production autumn start
).
It’s important to realize that an season is just a name, nothing more. You can
have as many seasons as you like, and name them anything that you like. Autumn
will load the config files for the season you’ve indicated as active. Autumn
doesn’t really care if it’s named “production” or “live” or
“testing-on-jeffs-machine”; it’s all the same to Autumn.
Your season’s configuration is stored in the season.yml file within
your season directory. Currently it supports one directive, logging
. This sets
the minimum log level (such as debug
or warn
). If the log level is set to
debug
, it also enables console output parroting. (See the Logging section.)
The power of seasons comes in custom configuration options. For instance,
consider that you have a testing and production season. In your testing season,
your season.yml file contains:
dont_http: true
and in production, it contains:
dont_http: false
Now, in your code, you might have a method like:
def scores_command(stem, sender, reply_to, msg)
if options[:dont_http] then
return "Some fake sports scores."
else
# go on the web and find real sports scores
end
end
System-wide configuration is done in the config/global.yml file. It
supports by default the following directives:
season |
The season to launch in. |
log_history |
The number of historical logfiles to keep (default 10). |
In addition, the following options are available (but cannot be set in the yml
file):
root |
The root directory of the Autumn installation. |
system_logger |
The Autumn::LogFacade instance that records system messages. |
Season-specific configuration is done in the
config/seasons/[season]/season.yml file. Currently it only supports one
directive, logging
, which takes log levels like debug
or warn
.
Stem-specific configuration is done in the
config/seasons/[season]/stems.yml file. It’s important to note that
stem and leaf configurations are completely independent of each other. (In other
words, stem options do not override leaf options, nor vice versa.) Therefore,
you generally won’t add custom directives to the stems.yml file,
because you generally won’t be working with stems directly. The standard options
are:
server |
The address of the IRC server. |
port |
The IRC server port (default 6667). |
local_ip |
The IP address to connect on (for virtual hosting). |
nick |
The nick to request. |
password |
The nick’s password, if it is registered. |
channel |
A channel to join. |
channels |
A list of channels to join. |
leaf |
The name of a leaf to run. |
leaves |
A list of leaves to run. (These are the names of leaf configurations in leaves.yml, not leaf subclasses.) |
rejoin |
If true, the stem will rejoin any channels it is kicked from. |
server_password |
The password for the IRC server, if necessary. |
ssl |
If true, the connection to the IRC server will be made over SSL. |
server_type |
The IRC server type. See resources/daemons for a list of valid server types. If you do not manually set this value, it will be guessed automatically. |
case_sensitive_channel_names |
If true, channel names will be compared with case sensitivity. |
dont_ghost |
If true, the stem will not try to GHOST a registered nick if it’s taken. |
ghost_without_password |
If true, the stem will use the GHOST command without a password. Set this for servers that use some other form of nick authentication, such as hostname-based. |
user |
The username to send (optional). |
name |
The user’s real name (optional). |
throttle |
If enabled, the stem will throttle large amounts of simultaneous messages. |
throttle_rate |
Sets the number of seconds that pass between consecutive PRIVMSG’s when the leaf’s output is throttled. |
throttle_threshold |
Sets the number of simultaneous messages that must be queued before the leaf begins throttling output. |
nick_regex |
The regular expression used to match nicknames in server messages. By default, it conforms to the RFC-1459 definition. |
The channel
and channels
directives can also be used to specify a password
for a password protected channel, like so:
channel:
channelname: channelpassword
or
channels:
- channel1: password1
- channel2: password2
The port
, server_type
, and channel
/channels
options are set in the
config file but not available in the options
hash. They are accessed directly
from attributes in the Autumn::Stem
instance, such as the channels
attribute.
Leaf-specific configuration is done in the
config/seasons/[season]/leaves.yml file and the
leaves/[leaf]/config.yml file, with the former taking precedence over
the latter. As mentioned above, leaf and stem configurations are completely
separate, so one does not override the other. The standard options are:
class |
The type of the leaf. It must be a subdirectory in the leaves directory. |
command_prefix |
The text that must precede each command. Defaults to “!”. |
respond_to_private_messages |
If true, the leaf will parse commands in whispers, and respond over whispers to those commands. |
database |
A database connection to use (as defined in database.yml). By default Autumn will choose a connection named after your leaf. |
formatter |
The name of a module in Autumn::Formatting that will handle output formatting and colorization. This defaults to mIRC-style formatting. |
In addition, the following options are available (but cannot be set in the yml
file):
root |
The root directory of the leaf installation. |
The leaves.yml file is optional. When not included, each leaf in the
leaves directory will be automatically instantiated once.
All configuration files support user-generated directives. You can set options
at any level. Options at a more narrow level override those at a broader level.
Options are maintained and cataloged by the Autumn::Speciator
singleton. You
could access the singleton directly, but most objects have an options
attribute providing simpler access to the Speciator.
For example, to access options in a leaf, all you do is call, for example,
options[:my_custom_option]
. my_custom_option
can be set at the
global, season, or leaf level.
The Autumn::Leaf
class has many tools to help you write your leaves. These
include things like filters, helpers, loggers, and an easy to use IRC library.
The Autumn::Leaf
and Autumn::Stem
class docs are the most thorough way of
learning about each of these features, but I’ll walk you through the basics
here.
By subclassing Autumn::Leaf
, you gain access to a number of neat utilities.
These generally come in three classes: IRC commands that have already been
written for you, utility methods you can call, and invoked methods you can
override. Utility methods do things like add filters. Invoked methods are called
when certain events happen, like when your leaf starts up or when a private
message is received. You override them in your leaf to customize how it responds
to these events.
Invoked methods | will_start_up , did_start_up , did_receive_channel_message , etc. |
Utility methods | before_filter , database , etc. |
IRC commands | quit_command , reload_command , autumn_command , etc. |
See the class docs for more information on these methods.
In addition, your leaf is designated as a listener for its Autumn::Stem
instances. In short, this means if you want even finer control over the IRC
connection, you can implement listener methods. See the
Autumn::Stem#add_listener
method for examples of such methods.
Finally, your leaf can implement methods that are broadcast by listener plugins.
An example of such a plugin is the Autumn::CTCP
class, which is included in
all stems by default. Visit its class docs to learn more about how to send and
receive CTCP requests.
Filters are methods that are run either before or after a command is executed.
In the former case, they can also prevent the command from being run. This is
useful for authentication, for instance: A filter could determine if someone is
authorized to run a command, and prevent the command from being run if not.
Use filters to save yourself the effort of rewriting code that will run before
or after a command is executed. Filter methods are named [word]_filter
and
they are added to the filter chain using the before_filter
and after_filter
methods (like in Ruby on Rails). As an example, imagine you wanted your bot to
say something after each command:
class Controller > Autumn::Leaf
after_filter :outro
private
def outro_filter(stem, channel, sender, command, msg, opts)
stem.message "This has been a production of OutroBot!", channel
end
end
The result of this is that after each command, the leaf will make a dramatic
exit. (Why did I use after_filter
and not before_filter
? Because as I said
earlier, a before_filter
can stop the command from being executed; the only
way we know for sure that the command was executed — and therefore should be
outroed — is to use an after_filter
.)
I made the outro_filter
method private because I felt it shouldn’t be exposed
to other classes; this is not a requirement of the filter framework, though.
Now let’s say you wanted to prevent the command from being run in some cases.
The most obvious application of this feature is authentication. Autumn already
includes a robust authentication module, but for the sake of example, let’s
pretend you wanted to do your own authentication in your leaf. So, you write a
before_filter
to determine if the user is authenticated. before_filter
methods have return values; if they return false, the filter chain is halted and
the command is suppressed. If you want to have your leaf display some sort of
message (like “Nice try!”), you need to include that in your filter.
As an example, here’s a simple form of authentication that just checks a
person’s nick:
class Controller < Autumn::Leaf
before_filter :authenticate, :only => :quit, :admin => 'Yournick'
def authenticate_filter(stem, channel, sender, command, msg, opts)
sender == opts[:admin]
end
end
I’m introducing you to three new features with this sample:
- You can use the
:only
option to limit your filter to certain commands. Note
that you specify the command name as a symbol, not the method name (which
would bequit_command
in this case). - You can pass your own options to
before_filter
andafter_filter
; they are
passed through to your method via the last parameter,opts
. - The return value of a
before_filter
is used to determine if the command
should be run. So be careful that your method does not returnnil
orfalse
unless you really mean for the command to be suppressed.
Both of these examples use the parameters sent to your filter method. They are,
in order:
- the
Autumn::Stem
instance that received the command, - the name of the channel to which the command was sent (or
nil
if it was a
private message), - the sender hash,
- the name of the command that was typed, as a symbol,
- any additional parameters after the command (same as the
msg
parameter in
the [word]_command methods), - the custom options that were given to
before_filter
orafter_filter
.
There are two built-in options that you can specify for before_filter
and
after_filter
, and those are only
and except
. They work just like in Rails:
The only
option limits the filter to running only on the given command or list
of commands, and the except
option prevents the filter from being run on the
given command or list. All other options are passed to the filter for you to
use.
Filters are run in the order they are added to the filter chain. Therefore, a
superclass’s filters will run before a subclass’s filters, and filters added
later in a class definition will be run after those added earlier.
If you subclass one of your leaves, it inherits your superclass’s filters. The
Autumn::Leaf
superclass does not have any filters by default, though by
default new leaves come with a simple authentication filter that checks the
user’s privilege level.
You don’t need to write a before_filter
as shown above, because Autumn already
includes a robust authentication module. The Autumn::Authentication
module
includes the Base
class and four different subclasses of it. Each of these
subclasses handles a different type of authentication. You can choose the
authentication strategy you want on a leaf-by-leaf basis or for a whole season.
To specify the kind of authentication you want, you must add an authentication
directive to your config. If you want to set it for an individual leaf, add it
to the leaves.yml file. If you want all leaves to have the same
authentication strategy, add it to the season.yml or
global.yml file.
The authentication
directive should be a hash that, at a minimum, includes a
key called type
. This is the snake_cased name of subclass in
Autumn::Authentication
that you wish to use. As an example, here is an entry
for an Administrator bot in a leaves.yml file, with ops-based
authentication.
Administrator:
class: Administrator
authentication:
type: op
This will instantiate the Autumn::Authentication::Op
class for use with the
Administrator bot.
Other authentication strategies may require additional information. For
instance, if you want to used nick-based authentication, your
leaves.yml file might look like:
Administrator:
class: Administrator
authentication:
type: nick
nick: MyNick
See the class docs for each subclass in Autumn::Authentication
for more info
on how you should set up your configs.
If you would like to use a persistent store for your leaf, you should install
the DataMapper gem and a DataObjects gem for your database of choice (MySQL,
PostgreSQL, or SQLite). DataMapper works almost identically to ActiveRecord, so
if you have any Rails programming experience, you should be able to dive right
in.
Once you’ve got DataMapper installed, you should create one or more database
connections in your config/seasons/[season]/database.yml file. A sample
database connection looks like:
connection_name:
adapter: mysql
host: localhost
username: root
password: pass
database: database_name
or, in a smaller syntax:
connection_name: mysql://root@pass:localhost/database_name
If you are using the “sqlite3” adapter, the database
option is the path to the
file where the data should be written (example:
leaves/fortune/data/my_database.db
). You can name your connection however you
want, but you should name it after either your leaf or your leaf subclass.
(More on this below.)
You should also create DataMapper model classes for each of your model objects.
You can place them within your leaf’s models directory. This works
almost exactly the same as the app/models directory in Rails.
Once your database, data models, and leaves have been configured, you can use
the rake db:migrate
task to automatically populate your database.
Now, unlike Rails, Autumn supports multiple database connections. Two leaves can
use two different database connections, or share the same database connection.
Because of this, it’s important to understand how to manage your connections.
Autumn tries to do this for you by guessing which connection belongs to which
leaf, based on their names.
For example, imagine you have a leaf named “Fortune” and an instance of that
leaf in leaves.yml named “MyFortune”. If you name your database
connection either “Fortune” or “MyFortune” (or “fortune” or “my_fortune”), it
will automatically be associated with that leaf. What this means is that for the
leaf’s command methods (such as about_command
) and invoked methods (such as
did_receive_private_message
), the database connection will already be set for
you, and you can start using your DataMapper objects just like ActiveRecord
objects.
If, on the other hand, you either named your database connection differently
from your leaf or subclass name or you are writing a method outside of the
normal flow of leaf methods (for instance, one that is directly called by a
Stem
, or a different listener), you will need to call the database
method
and pass it a block containing your code.
This is terribly confusing, so let me give you an example. Let’s assume you’ve
got a fortune bot running a leaf named “FortuneLeaf”, so your
leaves.yml configuration is:
FortuneBot:
class: FortuneLeaf
And you have a database connection for that leaf, named after the leaf’s class:
fortune_leaf:
adapter: sqlite3
database: leaves/fortune_leaf/data/development.db
Let’s further assume you have a simple DataMapper object:
class Fortune
include DataMapper::Resource
property :id, Integer, :serial => true
property :text, String
end
Now, if we wanted to write a “!fortune” command, it would appear something like
this:
def fortune_command(stem, sender, reply_to, msg)
fortunes = Fortune.all
fortunes[rand(fortunes.size)].text
end
Autumn automatically knows to execute this DataMapper code in the correct
database context. It knows this because your leaf’s name is FortuneLeaf
, and
your database context is named the same.
But what if you wanted to use that connection for other leaves too, so you named
it something like “local_database”? Now, Autumn won’t be able to guess that you
want to use that DB context, so you have to specify it manually:
def fortune_command(stem, sender, reply_to, msg)
database(:local_database) do
fortunes = Fortune.all
return fortunes[rand(fortunes.size)].text
end
end
If that is too tedious, you can specify the database connection manually in the
leaves.yml file:
FortuneBot:
class: FortuneLeaf
database: local_database
OK, now onto the second special case. Imagine you want your fortune bot to also
send a fortune in response to a CTCP VERSION request. So, you’d implement a
method like so:
def ctcp_version_request(handler, stem, sender, arguments)
fortune = random_fortune # Loads a random fortune
send_ctcp_reply stem, sender[:nick], 'VERSION', fortune.text
end
This will break — why? Because the ctcp_version_request
method is in the
realm of the Autumn::CTCP
class, not the Autumn::Leaf
class. (You can see
this by investigating the CTCP class docs; it shows you what methods you can
implement for CTCP support.) Basically, the CTCP
class calls your method
directly, giving the Autumn::Leaf
class no chance to set up the database
first. So to fix it, make a call to database
first:
def ctcp_version_request(handler, stem, sender, arguments)
fortune = database { random_fortune }
send_ctcp_reply stem, sender[:nick], 'VERSION', fortune.text
end
This will execute those methods in the scope of the database connection guessed
by Autumn::Leaf
. Of course, you can manually pass in a connection name if
necessary.
Another important note: You will need to make a call to database
in any
child threads your leaf creates. The database context is not automatically
carried over to such threads.
So, if you have two database-backed leaves, it’s entirely likely that both of
them will use some sort of DataMapper resource named Channel
, or something
similar. You can’t define the class Channel
twice in two different ways, so
how do you deal with this?
The answer is: It’s already dealt with for you. Go ahead and define the class
twice. Or three times.
The longer explanation is: Secretly, behind the scenes, all your leaf code is
being cleverly loaded into a module named after your leaf. So, when, in your
controller.rb code, it says class Controller < Autumn::Leaf
, you
should read it as class MyLeafName::Controller < Autumn::Leaf
. When you define
your model with class Channel
, it’s really read as class
MyLeafName::Channel
.
Don’t worry about table names or associations or anything, either. Just go ahead
and use it as if it weren’t in a module. The libs/datamapper_hacks.rb
file has all the necessary code changes to make this bit of trickery work.
Helper modules placed in your leaf’s helpers directory will
automatically be loaded and included in your leaf controller and views. To
create a helper module, place Ruby files to be loaded into the helpers
directory. Make sure your helper modules’ names end with the word “Helper”.
For instance, if your leaf’s name is “Fortune”, and you needed two helpers, a
database helper and a network helper, you could create two modules named
DatabaseHelper
and NetworkHelper
. Any modules named in this fashion and
placed in the helpers subdirectory will be loaded and appended to the
controller and its views automatically.
If you make a simple code change to your leaf, you can reload it without having
to restart the whole process. See the Autumn::Leaf#reload_command
documentation for more information on when and how you can reload your leaf’s
code.
If an error occurs on a live production instance, it will be logged to the log
file for your season. You can inspect the log file to determine what went wrong.
If the error happens before the logger is available, oftentimes it will appear
in the autumn.output or autumn.log files. These files are
generated by the daemon library and note any uncaught exceptions or standard
outs. They are in the tmp directory.
The most tricky of errors can happen before the process is daemonized. If your
process is quitting prematurely, and you don’t see anything in either log file,
consider running autumn start
, allowing you to see any exceptions for
yourself.
Unfortunately, it’s still possible that the bug might not appear when you do
this, but only appear when the process is daemonized. In this situation, I’d
recommend installing rdebug (sudo gem install rdebug
) and stepping through the
code to figure out what’s going wrong. In particular, make sure you step into
the @Foliater@’s start_stems
method, when it creates the new threads. It’s
possible your exception will rear its head once you step into that line of code.
Autumn::Stem
is a full-featured IRC client library, written from the ground up
for Autumn. It makes extensive use of implicit protocols, meaning that most
features are accessed by implementing the methods you feel are necessary.
Most of the time, you will only work with stems indirectly via leaves. For
instance, if you want an “!opped” command that returns true if the sender is an
operator, it would look like this:
def opped_command(stem, sender, reply_to, msg)
stem.channel_members[reply_to][sender[:nick]] == :operator ? "You are opped." : "You are not opped."
end
Let’s break this down. In order to figure out if someone is opped or not, we
need three pieces of information: their nick, the channel they are in, and the
IRC server they are connected to.
The stem
parameter contains the Autumn::Stem
instance that received this
message. It is our link to that server. Through it we can perform IRC actions
and make requests.
Autumn::Stem
includes an attribute channel_members
, a hash of channels
mapped to their members. The channel that received the message is passed via the
reply_to
parameter. So we call channel_members[reply_to]
and we receive a
hash of member names to their privilege levels. The sender
parameter contains
information about the person who sent the command, including their nick. So we
use their nick to resolve their privilege level.
Complicated? Sure it is. That’s the price we pay for separating stems from
leaves. But what if you, like probably 90% of the people out there who use
Autumn, only have one stem? Why should you have to call the same damn stem each
and every time?
Fortunately, your pleas are not in vain. For leaves that run off only one stem,
the stem’s methods are rolled right into the leaf. So, that “!opped” command
method becomes:
def opped_command(stem, sender, reply_to, msg)
channel_members[reply_to][sender[:nick]] == :operator ? "You are opped." : "You are not opped."
end
OK, so it’s not like a world-class improvement, but it helps.
The primary thing your leaf will probably do with a Stem
instance is use it to
send messages, like so:
def about_command(stem, sender, reply_to, msg)
stem.message "I am a pretty awesome bot!", reply_to
end
Fortunately, if you just return a string, Autumn::Leaf
will automatically send
it for you, simplifying our method:
def about_command(stem, sender, reply_to, msg)
"I am a pretty awesome bot!"
end
You would still interact with the stem directly if you wanted to do something
like announce your leaf’s presence to everyone. To do this, you’d have to send
a message to every channel of every stem the leaf is a listener for:
stems.each { |stem| stem.channels.each { |channel| stem.message "Hello!", channel } }
But! Autumn::Stem#message
will automatically send a message to every channel
if you don’t specify any channels, simplifying our code to:
stems.each { |stem| stem.message "Hello!" }
It gets even better. You can call methods on the stems
array as if it were a
stem itself! This simplifies the line significantly:
stems.message "Hello!"
Pretty nifty, huh? This also works for functions as well as methods; for
instance, the Autumn::Stem#ready?
function, which returns true if a stem is
ready:
stems.ready? #=> [ true, true, false, true ]
(for example)
The section above dealt with stems as they relate to leaves. But when would you
need to deal with a stem directly? Generally, never. However, if you find that
Autumn::Leaf
doesn’t have what you need, you may have to turn to
Autumn::Stem
to get the functionality you are looking for. So let’s take a
look at how Stem works.
A stem interacts with interested parties via the listener protocol. Your leaf
signals its interest to a stem by calling Autumn::Stem#add_listener
. When a
leaf or any other object becomes a stem’s listener, that stem then invokes
methods on the listener whenever an IRC event occurs.
Let’s take a simple example. Assume you wanted to build a basic textual IRC
client using Stem. You’d first want to indicate that your client is a listener:
class MyClient
def initialize(stem)
@stem = stem
@stem.add_listener self
end
end
Now the stem will send method calls to your MyClient
instance every time an
IRC event occurs. None of these methods are required — you can implement as few
or as many as you want. The different methods that Stem
will send are
documented in the Autumn::Stem#add_listener
method docs. One very important
method is the irc_privmsg_event
method. Let’s implement it:
def irc_privmsg_event(stem, sender, arguments)
puts "#{arguments[:channel]} <#{sender[:nick]}> #{arguments[:message]}"
end
Now we’ve got the most important part of our IRC client done — receiving
messages.
You can also send IRC events using stem. It’s simple: Every IRC command (such as
JOIN and PRIVMSG and MODE) has a corresponding method in Stem
(such as join
and privmsg
and mode
). These methods aren’t in the API docs because they’re
implemented using method_missing
. Their arguments are exactly the same as the
arguments the IRC command expects, and in the same order.
So how do we send a message? Well according to RFC-1459, the basic IRC spec, the
PRIVMSG command takes two arguments: a list of receivers, and the text to be
sent. So, we know our method call should look something like this:
Astute readers will note that the spec shows a list of recipients, and indeed,
you can call the method like so:
That’s the basics of how Autumn::Stem
works, but there’s one other thing worth
mentioning, and that’s listener plugins. The details are in the
Autumn::Stem#add_listener
method docs, but the short of it is that these are
special listeners that bestow their powers onto other listeners.
The best example of this is the Autumn::CTCP
class. This class is indeed a
Stem
listener: It listens to PRIVMSG events from the stem, and checks them to
see if they are CTCP requests. However, it also gives you, the author of
another listener (such as your leaf) the ability to implement methods according
to its protocol.
For example, say you wanted to respond to CTCP VERSION requests with your own
version information. You do it like so:
def ctcp_version_request(handler, stem, sender, arguments)
send_ctcp_reply stem, sender[:nick], 'VERSION', "AwesomeBot 2.0 by Sancho Sample"
end
What’s going on here? Because the Autumn::CTCP
class is a listener plugin, it
is sending its own method calls as well as implementing @Stem@’s method calls.
One such call is the ctcp_version_request
method, which you can see in the
CTCP
class docs. Somewhere deep in the annals of Autumn::Foliater
, there is
some code similar to the following:
ctcp = Autumn::CTCP.new
stem.add_listener ctcp
Thus, every stem comes pre-fab with a CTCP listener plugin. That plugin is
intercepting PRIVMSG events and checking if they’re CTCP requests. If they are,
it is invoking methods, such as ctcp_version_request
, in all of the stem’s
other listeners, among which is your leaf. Hopefully you understand how this all
fits together.
The lesson to take home here is two-fold: Firstly, if you’d like CTCP support in
your leaf, know that it’s the Autumn::CTCP
class that is providing the method
calls to your leaf, not the Autumn::Stem
class. Secondly, this should
hopefully give you some ideas should you want to write your own listener plugin
to enhance @Stem@’s functionality.
Autumn uses Ruby’s Logger
class to log; however, it uses Autumn::LogFacade
to prepend additional information to each log entry. The LogFacade
class has
the exact same external API as Logger
, so you can use it like a typical Ruby
or Ruby on Rails logger. Many objects (such as Leaf
and Stem
) include a
logger
attribute:
logger.debug "Debug statement"
logger.fatal $!
See the LogFacade
class docs for details.
The included Rakefile contains a number of useful tasks to help you develop and
deploy your leaves. You can always get a list of tasks by typing rake --tasks
.
The various commands you can run are:
Application tasks:
rake app:start |
Starts the Autumn daemon in the background. |
rake app:stop |
Stops the Autumn daemon. |
rake app:restart |
Reloads the Autumn daemons. |
rake app:run |
Starts the Autumn daemon in the foreground. |
rake app:zap |
Forces the daemon to a stopped state. Use this command if your daemon is not running but autumn thinks it still is. |
Database tasks:
LEAF=[leaf name] rake db:migrate |
Creates all the tables for a leaf, as specified by the leaf’s model objects |
Documentation tasks:
rake doc:api |
Generates HTML documentation for Autumn, found in the doc/api directory. |
rake doc:leaves |
Generates HTML documentation for your leaves, found in the doc/leaves directory. |
rake doc:clear |
Removes all HTML documentation. |
Logging tasks:
rake log:clear |
Clears the log files for all seasons. |
rake log:errors |
Prints a list of error-level log messages for the current season, and uncaught exceptions in all seasons. |
You can define your own leaf-specific tasks in the tasks subdirectory
within your leaf’s directory. Any .rake files there will be loaded by
rake. The tasks will be added within a task-group named after your leaf. Use
Scorekeeper as an example: If you type rake --tasks
, you’ll see one other
task, rake scorekeeper:scores
. The “scores” task is defined in the
leaves/scorekeeper/tasks/stats.rake file, and placed in the
“scorekeeper” task group by Autumn.
Also, if you open that file up, you’ll notice that you have to refer to your
leaf’s classes by their full names, including the leaf module. (See Your
Leaf’s Module if you’re confused.)
Autumn includes some scripts to help you control it.
Bootstraps an IRb console with the Autumn environment configured. Stems and
leaves are accessile from the Foliater instance. DataMapper models can be used.
Does not start any stems (in other words, no actual server login occurs).
Usage: script/console [options]
where [options] may contain:
--irb |
Invoke a different Ruby terminal. |
You can alter the season by setting the SEASON
environment variable.
The autumn
command controls the Autumn daemon.
PROJECT is the path to your autumn bot’s root directory.
Usage: autumn [command] [options] -- [application options]
where [command] is one of:
start |
start an instance of the application |
stop |
stop all instances of the application |
restart |
stop all instances and restart them afterwards |
status |
show the status of an application |
and where [options] are:
-D, --daemonize |
Daemonize the bot |
-m, --monitor |
Try to restart from crashes in daemon mode |
Common options:
-h, --help |
Show usage |
Destroys the files for leaves, seasons, and other objects of the Autumn
framework.
Usage: script/destroy [options] [object] [name]
[object] | The object type to destroy. Valid types are “leaf” and “season”. |
[name] | The name of the object to destroy. For example, you can call script/destroy leaf Scorekeeper to remove a leaf named Scorekeeper. |
--help, -h |
Displays this usage information. |
--vcs, -c |
Remove any created files or directories from the project’s version control system. (Autodetects CVS, Git, and Subversion.) |
Generates template files for leaves, seasons, and other Autumn objects.
Usage: script/generate [options] [template] [name]
[template] | The template to create. Valid templates are “leaf” and “season”. |
[name] | The name to give the created template. For example, you can call script/generate leaf Scorekeeper to create a leaf named Scorekeeper. |
--help, -h |
Displays this usage information. |
--vcs, -c |
Add any created files or directories to the project’s version control system. (Autodetects CVS, Git, and Subversion.) |
Runs Autumn from the command line. This script will not exit until all leaves
have exited. You can set the SEASON
environment variable to override the
season.
Autumn is a multi-threaded IRC client. When a message is received, a new thread
is spawned to process the message. In this thread, the message will be parsed,
and all listener hooks will be invoked, including your leaf’s methods. The
thread will terminate once the message has been fully processed and all methods
invoked.
I have made every effort to ensure that Autumn::Stem
and Autumn::Leaf
are
thread-safe, as well as other relevant support classes such as Autumn::CTCP
.
It is now in your hands to ensure your leaves are thread-safe! This basically
means recognizing that, while your leaf is churning away at whatever command it
received, things can and will change in the background. If your command requires
your leaf to have operator privileges, write your code under the assumption that
operator could be taken from your leaf in the middle of executing the command.
Write data in critical blocks, use transactions in your database calls … you
know the deal. Don’t assume things will be the same between one line of code and
the next.
There’s only a few things you need to do once your leaf is ready to greet
the Real World:
- Create a new production season. Configure your stems, leaves, and database
as necessary for your production environment. - In config/global.yml, set the season to your production season.
- If desired, in autumn start -D, set the -m option.
This will spawn a monitor process that will relaunch Autumn if it crashes.
Please consult the list of known bugs
and version history
for more information.
*_Why do you require Facets?, I hear you ask. Facets doesn’t add any super
awesome new features to Ruby like Daemons or DataMapper does. It does, however,
improve code reuse, and I’m a big fan of that. Why should a million different
Ruby projects all write the same Symbol#to_proc
method or the same
@Hash#symbolizekeys@ method? I use Facets because that job has already been
done, and staying DRY means staying DRY between codebases, not just within
them.