tla2json v1.0.1
Usage: tla2json [options] [<input file>]
-D, --dump Parse input as a dump
-T, --trace Parse input as a trace (default)
-S, --state Parse input as a state
-V, --value Parse input as a value
-d, --diff Convert a full trace into a diff-trace
-f, --full Convert a diff-trace back into a full trace
-l, --full-last-step Convert the last step of a diff-trace back into a full trace
-i, --indent Indent and pretty-print JSON output
-s, --sort Output the fields of each object with the keys in sorted order
<input file> File to parse
The simplest and most common example is you checking your (non-trivial) model
and TLC finds a counter-example. Trying to make sense of a trace with many steps and/or
a large state space is immensely time-consuming and difficult. By converting the trace
to a widely-used format such as JSON, you can easily transform and/or query the data using
ubiquitous tools like jq, and get a sense of your data much faster.
A personal anecdote is me spending over 10 minutes trying to comprehend hundreds of lines of TLA+ state, vs looking at a summary as a single-page table and comprehending the situation in under 10 seconds.
Instead of trying to read something like this,
using tla2json, jq and column can pretty easily turn it into a concise table like this:
> tla2json -s output.log | jq -rf summary.jq | column -t -s$'\t'
# Step Target Remote Tabs Workers Network
= ==== ====== ====== ==== ======= =======
1 Initial predicate [] [] {t1:-, t2:-} {w1:-, w2:-} []
2 TabNew - - {t1:[], t2:-} {w1:[], w2:-} -
3 TabLoad - - {t1:[], t2:-} - -
4 TabNew - - {t1:[], t2:[]} - -
5 TabLoad - - {t1:[], t2:[]} - -
6 TabStart - - {t1:-, t2:[]} - -
7 TabStart - - {t1:-, t2:-} - -
8 UserEditClean []→{t1:e1} - {t1:[], t2:-} - -
9 UserAbort []→{t1:e1d} - {t1:[]A, t2:-} - -
10 TabSendChangesToWorker - - {t1:[]A, t2:-} - [sync(t1→w1):[]+]
11 WorkerRecvChanges []←{t1:1.1d} - - {w1:[1.1], w2:-} [sync(w1→t1):[1.1]+, sync(w1→t2):[1.1]]
12 TabRecvDraftsFromWorker - - {t1:[]A, t2:[1.1]} - [sync(w1→t1):[1.1]+]
13 TabRecvDraftsFromWorker [1.1d] - {t1:-[1.1d], t2:[1.1]} - []
14 TabSendTombstonesToWorker - - {t1:-, t2:[1.1]} - [sync(t1→w1):[1.1d]]
15 WorkerSendRemoteStoreCmd - - - {w1:[1.1], w2:-} [rcmd(w1→t2):[1.1], sync(t1→w1):[1.1d]]
16 TabRecvRemoteStoreCmd - - - - [sync(t1→w1):[1.1d], sync(t2→R):[1.1]]
17 RemoteRecvDrafts - [1.1] - - [sync(R→t1):[1.1], sync(t1→w1):[1.1d]]
18 WorkerRecvChanges - - - {w1:[1.1d], w2:-} [sync(R→t1):[1.1], sync(w1→t1):[1.1d], sync(w1→t2):[1.1d]]
19 TabRecvDraftsFromWorker - - {t1:-, t2:[1.1d]} - [sync(R→t1):[1.1], sync(w1→t1):[1.1d]]
20 TabRecvDraftsFromWorker - - {t1:-[1.1d], t2:[1.1d]} - [sync(R→t1):[1.1]]
21 TabRecvRemoteAck - - - - [sync(R→t1):[1.1]]
22 TabSendTombstonesToWorker - - {t1:-, t2:[1.1d]} - [sync(R→t1):[1.1], sync(t1→w1):[1.1d]]
23 WorkerRecvChanges - - - - [sync(R→t1):[1.1]]
24 WorkerRecvRemoteAck - - - {w1:[1.1d], w2:-} [sync(R→t1):[1.1]]
25 WorkerSendRemoteStoreCmd - - - {w1:[1.1d], w2:-} [rcmd(w1→t1):[1.1d], sync(R→t1):[1.1]]
26 TabRecvRemoteStoreCmd - - - - [sync(R→t1):[1.1], sync(t1→R):[1.1d]]
27 RemoteRecvDrafts - [1.1d] - - [sync(R→t1):[1.1], sync(R→t2):[1.1d]]
28 TabRecvDraftsFromRemote - - {t1:[1.1], t2:[1.1d]} - [sync(R→t2):[1.1d], sync(t1→w1):[1.1]]
29 TabRecvDraftsFromRemote - - - - [sync(t1→w1):[1.1], sync(t2→w1):[1.1d]]
30 TabRecvRemoteAck - - - - [sync(t1→w1):[1.1], sync(t2→w1):[1.1d]]
31 WorkerRecvChanges - - - {w1:[1.1d], w2:-} [sync(t2→w1):[1.1d]]
32 WorkerRecvChanges - - - - […]
33 WorkerRecvRemoteAck - - - {w1:[], w2:-} []
34 WorkerSendRemoteStoreCmd [1.1d] [1.1d] {t1:[1.1], t2:[1.1d]} {w1:[], w2:-} []
(It doesn't look great in this width-contrained README but it's made for my wider terminal.)
Obviously this is only concise and quickly-comprehensible to me because I understand the domain of my spec.
You have to write your own jq transformations that make sense for your spec.
There's no one-size-fits-all way to summarise your state, but now you have the tools.
Taking the above example, let's say I'm only interested in knowing how the .tabs[*].status
values change. No problem! I'll write a new jq transformation on the fly to extract this data.
I'll even pass a -f flag to tla2json to convert my diff-trace into a full trace (so that
even if the tabs state didn't change on a step, it still shows me what the state is).
> tla2json -f <output.log | jq -c '.[] | {no, tabs: [.state.tabs[].status]}'
{"no":1,"tabs":["-","-"]}
{"no":2,"tabs":["loading","-"]}
{"no":3,"tabs":["loading","-"]}
{"no":4,"tabs":["loading","loading"]}
{"no":5,"tabs":["loading","loading"]}
{"no":6,"tabs":["clean","loading"]}
{"no":7,"tabs":["clean","clean"]}
{"no":8,"tabs":["dirty","clean"]}
{"no":9,"tabs":["dirty","clean"]}
{"no":10,"tabs":["dirty","clean"]}
{"no":11,"tabs":["dirty","clean"]}
{"no":12,"tabs":["dirty","dirty"]}
{"no":13,"tabs":["clean","dirty"]}
{"no":14,"tabs":["clean","dirty"]}
{"no":15,"tabs":["clean","dirty"]}
{"no":16,"tabs":["clean","dirty"]}
{"no":17,"tabs":["clean","dirty"]}
{"no":18,"tabs":["clean","dirty"]}
{"no":19,"tabs":["clean","dirty"]}
{"no":20,"tabs":["clean","dirty"]}
{"no":21,"tabs":["clean","dirty"]}
{"no":22,"tabs":["clean","dirty"]}
{"no":23,"tabs":["clean","dirty"]}
{"no":24,"tabs":["clean","dirty"]}
{"no":25,"tabs":["clean","dirty"]}
{"no":26,"tabs":["clean","dirty"]}
{"no":27,"tabs":["clean","dirty"]}
{"no":28,"tabs":["dirty","dirty"]}
{"no":29,"tabs":["dirty","dirty"]}
{"no":30,"tabs":["dirty","dirty"]}
{"no":31,"tabs":["dirty","dirty"]}
{"no":32,"tabs":["dirty","dirty"]}
{"no":33,"tabs":["dirty","dirty"]}
{"no":34,"tabs":["dirty","dirty"]}
-
Arch Linux:
tla2jsonis in the AURyay -S tla2json tla2json --help
-
Everything else:
ver=1.0.1 wget https://github.com/japgolly/tla2json/releases/download/v$ver/tla2json-$ver.jar -O tla2json.jar java -jar tla2json.jar --help
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