Now that we have our agent's types defined and have thought through its behavior, we can write the %journal agent itself.
Imports
/- *journal/+ default-agent, dbug, agentio
We first import the /sur/journal.hoon file we previously created and expose its structures. We import the standard default-agent and dbug, and also an additional library called agentio.
Agentio contains a number of convenience functions to make common agent tasks simpler. For example, rather than writing out the full $cards when sending %facts to subscribers, we can call ++fact in agentio with the cage and paths and it will compose them for us. There are many more functions in agentio than we'll use here - you can have a look through the library in /base/lib/agentio.hoon to see what else it can do.
State and type core
|%+$ versioned-state$% state-0==+$ state-0 [%0 =journal =log]+$ card card:agent:gall++ j-orm ((on id txt) gth)++ log-orm ((on @ action) lth)++ unique-time|= [=time =log]^- @=/ unix-ms=@(unm:chrono:userlib time)|-?. (has:log-orm log unix-ms)unix-ms$(time (add unix-ms 1))--
As we discussed in the previous section, our state will contain a $journal structure containing all our journal entries, and a $log structure containing the update log. These are both ordered maps, defined as ((mop id txt) gth) and ((mop @ action) lth) respectively. We can therefore define our versioned state as [%0 =journal =log], in the usual manner.
We've define $card for convenience as usual, and we've also added three more arms. The first two relate to our two ordered maps. If you'll recall, an ordinary map is called with the ++by door in the standard library, like so:
(~(get by foo) %bar)
An ordered map uses the ++on gate in zuse.hoon rather than ++by, and its invocation is slightly different. It must first be setup in a similar manner to the mop type, by providing it the key/value molds and comparator gates. Once that's done, its individual functions can be called with the mop and arguments, like:
(get:((on @ud @ud) gth) foo %bar)
This is quite a cumbersome expression to use every time we want to interact with our mop. To make it easier, we can store the ((on @ud @ud) gth) part in an arm, and then when we need to use it we can just do (get:arm-name foo %bar). In this case, we've done one each of our ordered maps like so:
++ j-orm ((on id txt) gth)++ log-orm ((on @ action) lth)
The last arm in our state definition core is ++unique-time. Since we'll use now.bowl to derive the timestamp for updates, we run into an issue if multiple pokes arrive in a single Arvo event. In that case, now.bowl would be the same for each poke, so they'd be given the same key and override each other in the mop. To avoid this, ++unique-time is just a simple recursive function that will increment the timestamp by one millisecond if the key already exists in the $log mop, ensuring all updates get unique timestamps and there are no collisions.
Agent core setup
%- agent:dbug=| state-0=* state -^- agent:gall|_ =bowl:gall+* this .def ~(. (default-agent this %|) bowl)io ~(. agentio bowl)++ on-init on-init:def++ on-save^- vase!>(state)::++ on-load|= old-vase=vase^- (quip card _this)`this(state !<(versioned-state old-vase))::
Here we setup our agent core and define the three lifecycle arms. Since we only have a single state version at present, these are very simple functions. You'll notice in our +* arm, along with the usual this and def, we've also setup the agentio library we imported, giving it the bowl and an alias of io.
Pokes
++ on-poke|= [=mark =vase]^- (quip card _this)|^?> (team:title our.bowl src.bowl)?. ?=(%journal-action mark) (on-poke:def mark vase)=/ now=@ (unique-time now.bowl log)=/ act !<(action vase)=. state (poke-action act):_ this(log (put:log-orm log now act))~[(fact:io journal-update+!>(`update`[now act]) ~[/updates])]::++ poke-action|= act=action^- _state?- -.act%add?< (has:j-orm journal id.act)state(journal (put:j-orm journal id.act txt.act))::%edit?> (has:j-orm journal id.act)state(journal (put:j-orm journal id.act txt.act))::%del?> (has:j-orm journal id.act)state(journal +:(del:j-orm journal id.act))==--::
Here we have our ++on-poke arm, where we handle $actions. Since our %journal agent is intended for local use only, we make sure only our ship or our moons may perform actions with:
?> (team:title our.bowl src.bowl)
We haven't yet written our mark files, but our mark for $actions will be %journal-action, so we make sure that's what we've received and if not, call ++on-poke:def to crash with an error message. We make sure the the timestamps are unique with our ++unique-time function described earlier, and then we extract the poke's vase to an $action structure and call ++poke-action to handle it. We've made ++on-poke a door with a separate ++poke-action arm to make the logic a little simpler, but in principle we could have had it all directly inside the main ++poke-action gate, or even separated it out into a helper core below.
The logic in ++poke-action is very simple, with three cases for each of the possible $actions:
%add- Add a new journal entry. We check it doesn't already exist with++has:j-orm, and then add it to our$journalwith++put:j-orm.%edit- Edit an existing journal entry. We make sure it does exist with++has:j-orm, and then override the old entry with the new one using++put:j-ormagain.%del- Delete an existing journal entry. We make sure it exists again with++has:j-orm, and then use++del:j-ormto delete it from our$journalmop.
Back in the main part of ++on-poke, ++poke-action updates the state with the new $journal, then we proceed to:
:_ this(log (put:log-orm log now act))~[(fact:io journal-update+!>(`update`[now act]) ~[/updates])]
We add the timestamp to the action, converting it to a logged update. We add it to the $log update log using ++put:log-orm, and also send the logged update out to subscribers on the /updates subscription path. We haven't written our mark files yet, but %journal-update is the mark we'll use for $updates, so we pack the $update in a vase and add the mark to make it a $cage. Notice we're using the ++fact function in agentio (which we aliased as io) rather than manually composing the %fact.
Subscriptions
++ on-watch|= =path^- (quip card _this)?> (team:title our.bowl src.bowl)?+ path (on-watch:def path)[%updates ~] `this==::
Our subscription logic is extremely simple - we just have a single /updates path, which the front-end or other local agents may subscribe to. All updates get sent out on this path. We enforce local-only with the team:title check.
We could have had our ++on-watch arm send out some initial state to new subscribers, but for our front-end we'll instead fetch the initial state separately with a scry. This just makes it slightly easier if our front-end needs to resubscribe at some point - it'll already have some state in that case so we don't want it to get sent again.
Scry Endpoints
++ on-peek|= =path^- (unit (unit cage))?> (team:title our.bowl src.bowl)=/ now=@ (unm:chrono:userlib now.bowl)?+ path (on-peek:def path)[%x %entries *]?+ t.t.path (on-peek:def path)[%all ~]:^ ~ ~ %journal-update!> ^- update[now %jrnl (tap:j-orm journal)]::[%before @ @ ~]=/ before=@ (rash i.t.t.t.path dem)=/ max=@ (rash i.t.t.t.t.path dem):^ ~ ~ %journal-update!> ^- update[now %jrnl (tab:j-orm journal `before max)]::[%between @ @ ~]=/ start=@=+ (rash i.t.t.t.path dem)?:(=(0 -) - (sub - 1))=/ end=@ (add 1 (rash i.t.t.t.t.path dem)):^ ~ ~ %journal-update!> ^- update[now %jrnl (tap:j-orm (lot:j-orm journal `end `start))]==::[%x %updates *]?+ t.t.path (on-peek:def path)[%all ~]:^ ~ ~ %journal-update!> ^- update[now %logs (tap:log-orm log)]::[%since @ ~]=/ since=@ (rash i.t.t.t.path dem):^ ~ ~ %journal-update!> ^- update[now %logs (tap:log-orm (lot:log-orm log `since ~))]====::
Here we have our ++on-peek arm. The scry endpoints we've defined are divided into two parts: querying the update $log and retrieving entries from the $journal. Each end-point is as follows:
/x/entries/all- Retrieve all entries in the$journal. Our front-end will use lazy-loading and only get a few at a time, so it won't use this. It's nice to have it though, in case other agents want to get that data./x/entries/before/[before]/[max]- Retrieve at most[max]entries older than the entry on[before]date. This is so our lazy-loading front-end can progressively load more as the user scrolls down the page. The Javascript front-end will format numbers without dot separators, so the path will look like/x/entries/before/1648051573109/10. We therefore have to use the++demparsingrulein a++rashparser to convert it to an ordinary atom. We then use the++tap:log-ormmopfunction to retrieve the requested range as a list and return it as an$updatewith a%journal-updatemark./x/entries/between/[start]/[end]- Retrieve all journal entries between two dates. This is so our front-end can have a search function, where the user can enter a start and end date and get all the entries in between. The++lot:j-ormmopfunction returns the subset of amopbetween the two given keys as amop, and then we call++tap:j-ormto convert it to a list. The++lot:j-orm functionexcludes the start and end values, so we subtract 1 from the start and add 1 to the end to make sure it includes the full range./x/updates/all- Retrieve the entire update$log. Our front-end won't use this but it might be useful for other agents, so we've included it here./x/updates/since/[since]- Retrieve all$updates that have happened since the specified timestamp, if any. This is so our front-end (or another agent) can resynchronize its state in the event its subscription is interrupted, without having to fetch everything from scratch again.
We don't use any of the other agent arms, so the remainder have all been passed to default-agent for handling:
++ on-leave on-leave:def++ on-agent on-agent:def++ on-arvo on-arvo:def++ on-fail on-fail:def--
The full agent source can be viewed here↗.
Resources
App School I - App School I covers all aspects of writing Gall agents in detail.
Ordered map functions in
zuse.hoon↗ - This section ofzuse.hooncontains all the functions for working withmops, and is well commented./lib/agentio.hoon- Theagentiolibrary in the%basedesk contains a large number of useful functions which making writing Gall agents easier.