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-module(jchat_perf_SUITE).
-include_lib("common_test/include/ct.hrl").
-include("../src/jchat.hrl").
%% CT callbacks
-export([all/0, init_per_suite/1, end_per_suite/1]).
%% Test cases
-export([test_message_creation_throughput/1,
test_conversation_query_performance/1,
test_concurrent_requests/1,
test_large_conversation/1]).
all() ->
[test_message_creation_throughput,
test_conversation_query_performance,
test_concurrent_requests,
test_large_conversation].
init_per_suite(Config) ->
application:ensure_all_started(jchat),
timer:sleep(1000),
Config.
end_per_suite(_Config) ->
application:stop(jchat),
ok.
%% Performance tests
test_message_creation_throughput(_Config) ->
NumMessages = 1000,
ConvId = <<"perf-conv-1">>,
% Setup
{ok, _} = jchat_db:create_conversation(ConvId, #{
title => <<"Performance Test">>,
participant_ids => [<<"user1">>]
}),
% Measure throughput
StartTime = erlang:monotonic_time(millisecond),
lists:foreach(fun(N) ->
MsgId = list_to_binary(io_lib:format("msg-~p", [N])),
{ok, _} = jchat_db:create_message(MsgId, #{
conversation_id => ConvId,
sender_id => <<"user1">>,
body => <<"Performance test message">>
})
end, lists:seq(1, NumMessages)),
EndTime = erlang:monotonic_time(millisecond),
Duration = EndTime - StartTime,
Throughput = NumMessages * 1000 / Duration,
ct:pal("Created ~p messages in ~p ms (~.2f msg/sec)",
[NumMessages, Duration, Throughput]),
% Should be able to create at least 100 messages/second
true = Throughput > 100.0.
test_conversation_query_performance(_Config) ->
NumConversations = 100,
NumQueries = 1000,
% Setup - create conversations
lists:foreach(fun(N) ->
ConvId = list_to_binary(io_lib:format("query-conv-~p", [N])),
{ok, _} = jchat_db:create_conversation(ConvId, #{
title => list_to_binary(io_lib:format("Conversation ~p", [N])),
participant_ids => [<<"user1">>]
})
end, lists:seq(1, NumConversations)),
% Measure query performance
StartTime = erlang:monotonic_time(millisecond),
lists:foreach(fun(_) ->
{ok, _Conversations} = jchat_db:query_conversations(<<"user1">>, #{})
end, lists:seq(1, NumQueries)),
EndTime = erlang:monotonic_time(millisecond),
Duration = EndTime - StartTime,
AvgQueryTime = Duration / NumQueries,
ct:pal("Executed ~p queries in ~p ms (~.2f ms/query)",
[NumQueries, Duration, AvgQueryTime]),
% Each query should take less than 10ms on average
true = AvgQueryTime < 10.0.
test_concurrent_requests(_Config) ->
NumWorkers = 10,
RequestsPerWorker = 100,
ConvId = <<"concurrent-conv">>,
% Setup
{ok, _} = jchat_db:create_conversation(ConvId, #{
title => <<"Concurrent Test">>,
participant_ids => [<<"user1">>]
}),
Parent = self(),
StartTime = erlang:monotonic_time(millisecond),
% Spawn workers
Workers = [spawn_link(fun() ->
worker_loop(ConvId, RequestsPerWorker, Parent)
end) || _ <- lists:seq(1, NumWorkers)],
% Wait for all workers to complete
lists:foreach(fun(Worker) ->
receive
{Worker, done} -> ok
after 30000 ->
error(timeout)
end
end, Workers),
EndTime = erlang:monotonic_time(millisecond),
Duration = EndTime - StartTime,
TotalRequests = NumWorkers * RequestsPerWorker,
Throughput = TotalRequests * 1000 / Duration,
ct:pal("Completed ~p concurrent requests in ~p ms (~.2f req/sec)",
[TotalRequests, Duration, Throughput]),
% Should handle at least 50 concurrent req/sec
true = Throughput > 50.0.
test_large_conversation(_Config) ->
NumMessages = 10000,
ConvId = <<"large-conv">>,
% Setup
{ok, _} = jchat_db:create_conversation(ConvId, #{
title => <<"Large Conversation">>,
participant_ids => [<<"user1">>]
}),
% Create many messages
StartTime = erlang:monotonic_time(millisecond),
lists:foreach(fun(N) ->
MsgId = list_to_binary(io_lib:format("large-msg-~p", [N])),
Body = list_to_binary(io_lib:format("Message ~p in large conversation", [N])),
{ok, _} = jchat_db:create_message(MsgId, #{
conversation_id => ConvId,
sender_id => <<"user1">>,
body => Body
})
end, lists:seq(1, NumMessages)),
EndTime = erlang:monotonic_time(millisecond),
Duration = EndTime - StartTime,
ct:pal("Created large conversation with ~p messages in ~p ms",
[NumMessages, Duration]),
% Test querying the large conversation
QueryStart = erlang:monotonic_time(millisecond),
{ok, Messages} = jchat_db:query_messages(#{in_conversation => ConvId}, #{sort => sent_at}),
QueryEnd = erlang:monotonic_time(millisecond),
QueryDuration = QueryEnd - QueryStart,
ct:pal("Queried ~p messages in ~p ms", [length(Messages), QueryDuration]),
% Query should complete reasonably fast even for large conversations
true = QueryDuration < 1000. % Less than 1 second
%% Helper functions
worker_loop(ConvId, 0, Parent) ->
Parent ! {self(), done};
worker_loop(ConvId, N, Parent) ->
% Create a message
MsgId = list_to_binary(io_lib:format("worker-~p-msg-~p", [self(), N])),
{ok, _} = jchat_db:create_message(MsgId, #{
conversation_id => ConvId,
sender_id => <<"user1">>,
body => <<"Concurrent test message">>
}),
worker_loop(ConvId, N - 1, Parent).
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