Packages
macula
4.4.1
7.0.0
6.0.0
5.2.2
5.2.1
5.2.0
5.1.0
5.0.0
4.8.0
4.7.1
4.7.0
4.6.0
4.5.0
4.4.10
4.4.9
4.4.8
4.4.7
4.4.6
4.4.5
4.4.4
4.4.3
4.4.2
4.4.1
4.4.0
4.3.1
4.3.0
4.2.9
4.2.8
4.2.7
4.2.6
4.2.5
4.2.4
4.2.3
4.2.2
4.2.1
4.2.0
4.1.1
4.1.0
4.0.0
3.16.0
3.15.3
3.15.2
3.15.1
3.14.0
3.13.0
3.12.1
3.12.0
3.11.1
3.11.0
3.10.3
3.10.2
3.10.1
3.9.0
3.8.0
3.7.0
3.5.0
3.4.0
3.3.0
3.2.0
3.1.0
3.0.0
2.1.1
2.1.0
2.0.0
1.5.2
1.5.1
1.4.30
1.4.29
1.4.28
1.4.27
1.4.26
1.4.25
1.4.24
1.4.23
1.4.22
1.4.21
1.4.20
1.4.19
1.4.18
1.4.17
1.4.16
1.4.15
1.4.14
1.4.13
1.4.11
1.4.10
1.4.9
1.4.8
1.4.7
1.4.6
1.4.5
1.4.4
1.4.3
1.4.2
1.4.1
1.4.0
1.3.1
1.3.0
1.2.0
1.1.0
1.0.10
1.0.9
1.0.8
1.0.7
1.0.6
1.0.5
1.0.4
1.0.3
1.0.2
1.0.1
1.0.0
0.48.6
0.48.5
0.48.4
0.48.3
0.48.2
0.48.1
0.48.0
0.47.1
0.47.0
0.46.3
0.46.1
0.46.0
0.45.3
0.45.2
0.45.1
0.45.0
0.44.2
0.44.1
0.44.0
0.43.3
0.43.2
0.43.1
0.43.0
0.42.9
0.42.8
0.42.7
0.42.6
0.42.5
0.42.4
0.42.3
0.42.2
0.42.1
0.42.0
0.41.1
0.41.0
0.40.1
0.40.0
0.39.9
0.39.8
0.39.7
0.39.6
0.39.5
0.39.4
0.39.3
0.39.2
0.39.1
0.39.0
0.38.8
0.38.7
0.38.6
0.38.5
0.38.4
0.38.3
0.38.2
0.38.1
0.38.0
0.37.7
0.37.6
0.37.5
0.37.4
0.37.3
0.37.2
0.37.1
0.37.0
0.36.6
0.36.5
0.36.4
0.36.3
0.36.2
0.36.1
0.36.0
0.35.4
0.35.3
0.35.2
0.35.1
0.35.0
0.34.1
0.34.0
0.33.1
0.33.0
0.32.5
0.32.4
0.32.3
0.32.2
0.32.1
0.32.0
0.31.9
0.31.8
0.31.7
0.31.6
0.31.5
0.31.4
0.31.3
0.31.2
0.31.1
0.31.0
0.30.10
0.30.9
0.30.8
0.30.7
0.30.6
0.30.5
0.30.4
0.30.3
0.30.2
0.30.1
0.30.0
0.29.0
0.28.3
0.28.2
0.28.1
0.28.0
0.27.1
0.27.0
0.26.1
0.26.0
0.25.6
0.25.5
0.25.4
0.25.3
0.25.2
0.25.1
0.25.0
0.24.6
0.24.5
0.24.4
0.24.3
0.24.2
0.24.1
0.24.0
0.23.3
0.23.2
0.23.1
0.23.0
0.22.12
0.22.11
0.22.10
0.22.9
0.22.8
0.22.7
0.22.6
0.22.5
0.22.4
0.22.3
0.22.2
0.22.1
0.22.0
0.21.7
0.21.6
0.21.5
0.21.4
0.21.2
0.21.1
0.21.0
0.20.25
0.20.24
0.20.23
0.20.22
0.20.21
0.20.20
0.20.19
0.20.18
0.20.17
0.20.16
0.20.15
0.20.14
0.20.13
0.20.12
0.20.11
0.20.10
0.20.9
0.20.8
0.20.7
0.20.6
0.20.5
0.20.3
0.20.2
0.20.1
0.20.0
0.19.2
0.19.1
0.19.0
0.18.1
0.18.0
0.17.4
0.17.3
0.17.2
0.17.1
0.17.0
0.16.6
0.16.5
0.16.4
0.16.3
0.16.2
0.16.1
0.16.0
0.15.1
0.15.0
0.14.3
0.14.2
0.14.1
0.14.0
0.12.6
0.12.5
0.12.3
0.11.3
0.10.2
0.10.1
0.10.0
0.9.2
0.9.1
0.9.0
0.8.25
0.8.24
0.8.23
0.8.22
0.8.21
0.8.20
0.8.19
0.8.18
0.8.17
0.8.16
0.8.15
0.8.14
0.8.13
0.8.12
0.8.11
0.8.10
0.8.9
0.8.8
0.8.7
0.8.6
0.8.5
0.8.4
0.8.3
0.8.2
0.8.1
0.8.0
0.7.30
0.7.29
0.7.28
0.7.27
0.7.26
0.7.25
0.7.24
0.7.23
0.7.22
0.7.21
0.7.20
0.7.19
0.7.18
0.7.17
0.7.16
0.7.15
0.7.14
0.7.13
0.7.12
0.7.11
0.7.10
0.7.9
0.7.8
0.7.7
0.7.6
0.7.5
0.7.4
0.7.3
0.7.2
0.7.1
0.7.0
0.6.7
0.6.6
0.6.5
0.6.4
0.6.3
0.6.2
0.6.1
0.6.0
0.5.0
0.4.4
0.4.3
0.4.2
0.4.1
0.4.0
0.3.4
0.3.3
0.3.2
0.3.1
Macula HTTP/3 Mesh SDK — connect, subscribe, publish, call, advertise
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Files
src/observability/macula_diagnostics.erl
%% @doc Structured event emission + per-process metric accumulation.
%%
%% Phase 1 implementation: events go through OTP `logger' with a structured
%% report; metrics live in the calling process's dictionary. Phase 7
%% upgrades to Prometheus / OpenTelemetry exporters without changing this
%% module's public surface.
%%
%% Topic namespacing convention:
%% <ul>
%% <li>`_macula.*' — protocol-layer events (SDK)</li>
%% <li>`_hecate.*' — station-layer events (Hecate-specific)</li>
%% </ul>
-module(macula_diagnostics).
-export([
event/2, event/3,
metric/3,
snapshot/0,
reset/0
]).
-export_type([level/0, metric_type/0, sample/0]).
-type level() :: debug | info | notice | warning | error.
-type metric_type() :: counter | gauge.
-type sample() :: {Name :: binary(), metric_type(), number()}.
%%------------------------------------------------------------------
%% Events — go through `logger'
%%------------------------------------------------------------------
%% @doc Emit a structured event at the default `info' level.
-spec event(binary(), map()) -> ok.
event(Topic, Properties) ->
event(info, Topic, Properties).
%% @doc Emit a structured event at a specific level.
-spec event(level(), binary(), map()) -> ok.
event(Level, Topic, Properties)
when is_atom(Level), is_binary(Topic), is_map(Properties) ->
Report = #{event => Topic, properties => Properties},
Meta = #{report_cb => fun report_cb/1, domain => [macula]},
logger:log(Level, Report, Meta).
%% Logger report callback — flat single-line format.
report_cb(#{event := Topic, properties := Props}) ->
{"~s ~0p", [Topic, Props]}.
%%------------------------------------------------------------------
%% Metrics — process-dictionary backed (Phase 1 only)
%%------------------------------------------------------------------
%% @doc Emit a metric. `counter' increments are summed across calls;
%% `gauge' values overwrite the previous reading.
-spec metric(binary(), metric_type(), number()) -> ok.
metric(Name, counter, N)
when is_binary(Name), is_integer(N), N > 0 ->
Key = key(Name, counter),
Cur = read_or_zero(erlang:get(Key)),
erlang:put(Key, Cur + N),
ok;
metric(Name, gauge, V)
when is_binary(Name), is_number(V) ->
erlang:put(key(Name, gauge), V),
ok.
%% @doc Snapshot all metrics held by the calling process.
-spec snapshot() -> [sample()].
snapshot() ->
[ {Name, Type, V}
|| {{macula_metric, Name, Type}, V} <- erlang:get(),
is_metric_sample(Name, Type, V) ].
%% @doc Drop all metric entries from the calling process's dictionary.
-spec reset() -> ok.
reset() ->
[erlang:erase(K) || K <- erlang:get_keys(), is_metric_key(K)],
ok.
%%------------------------------------------------------------------
%% Internals
%%------------------------------------------------------------------
key(Name, Type) -> {macula_metric, Name, Type}.
read_or_zero(undefined) -> 0;
read_or_zero(N) when is_integer(N) -> N.
is_metric_key({macula_metric, _Name, _Type}) -> true;
is_metric_key(_) -> false.
is_metric_sample(Name, Type, V)
when is_binary(Name), (Type =:= counter orelse Type =:= gauge),
is_number(V) -> true;
is_metric_sample(_, _, _) -> false.