Every time a user sends a message, there is now a chance that markov
will reply with a random message based on what they said. !markov chance
allows lookups and setting of the chance that a user may receive a
message.
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* Markov allchain is generated from all markov chains in the save
directory for the given channel. This omits starting processes for
known markov chains.
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
merge/1 takes a nonempty list of markov chains to merge
merge/2 takes two markov chains of the same order and sums their weights
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* Markov chains each have their own process keeping it updated and
synchronized. The markov plugin has been upgraded to account for this.
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* Markov chains will train and generate chains correctly now
* Implement Markov.save_chains/0
* Add a couple more utils that help accomplish the above
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* Plugins all derive from Omnibot.Plugin. There still is a base plugin,
in case we want to have another plugin backend instead of a GenServer
* All plugins are monitored by a unique Plugin.Supervisor, which is in
turn started by the PluginSupervisor (yes this is confusing, yes it
needs to be renamed)
* Any other auxiliary child processes may be started through the
Plugin.children/1 function.
* By default, plugins have a CfgState process which is an Agent that
keeps track of the plugin's configuration and state
* Plugin API is now called through the GenServer backend for better
synchronicity.
* Very few changes to the front-facing Plugin API, which is nice
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* using Plugin.GenServer now uses Plugin.Base so that is not required
* Remove Omnibot.Plugin because all it did was include Plugin.GenServer
and Plugin.Base
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
Both markov and wordbot have some auxiliary processes that run to keep
track of things. Previously, they both had custom supervisors grafted on
to the Plugin.Base - now, this grafting is automated with
Plugin.Supervisor.
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* Markov chains record words correctly from a single line to the end of
their line with a couple of exceptions.
* Start working on using ETS for storing markov chains, and saving it as
a DETS periodically
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
* train/2 takes a chain and a list of words to train them on
* add_weight/4 takes a chain, a list of words (the key), the word it
points to, and an optional increment which will increment the value of
a weight, or insert the weight.
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
For some reason there doesn't appear to be a binary search function in
Elixir's standard library, so this implements that.
Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
