Joseph Ferano 23b440db16 flan dev: a session, the program beside it, and a socket
The piece between an editor and everything else. One long-lived Session, the
program it belongs to launched and owned by the same process, and a socket that
takes forms and installs them. What it adds over flan reload is that the
session persists - a defvar added by one evaluation is part of what the next is
checked against - and that it owns the build, which is what makes its layout
rules describe the process actually running rather than a guess about it.

The protocol is s-expressions rather than bencode, and I changed my mind about
that. The case for nREPL was reusing a designed op set and not re-litigating
session identity, but with the client ours too there is no CIDER to be
compatible with, its eval is string-in/string-out with no slot for which form
from which file, and Emacs already has read and prin1. So: one sexp per
message, length framed because the payload contains newlines. No parsing code
on the editor side, and on this side the parser is the language's own reader,
where :op is already a keyword and Flan source is already a string literal. An
nREPL front end can sit on the same Session later; it should not gate the
editor.

Two silent failures the daemon refuses to have. The agent socket is chosen by
the daemon and forced through FLAN_AGENT_SOCKET before spawning, because a
program's source has to name some path and a daemon that guessed would compile,
build and deliver a module to nobody. And delivery is checked: agent/start
returning 0 means a socket was bound, not that anyone connected, so a failed
connect or a reply that is not ok becomes an error the editor sees.

It waits for the program to bind before accepting an evaluation, since one
arriving first fails for a reason that reads like a compiler bug, and it
accepts with a timeout so a program that has exited takes the daemon with it
instead of leaving an editor waiting on a socket nobody serves.
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Description
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MIT 7.5 MiB
Languages
OCaml 67.2%
Emacs Lisp 15.2%
C 10.4%
HTML 2.9%
Standard ML 2.8%
Other 1.5%