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test/py_SUITE.erl
%%% @doc Common Test suite for py module.
-module(py_SUITE).
-include_lib("common_test/include/ct.hrl").
-export([
all/0,
init_per_suite/1,
end_per_suite/1
]).
-export([
test_call_math/1,
test_call_json/1,
test_call_kwargs/1,
test_eval/1,
test_eval_complex_locals/1,
test_exec/1,
test_async_call/1,
test_type_conversions/1,
test_nested_types/1,
test_timeout/1,
test_special_floats/1,
test_streaming/1,
test_stream_function/1,
test_stream_iterators/1,
test_error_handling/1,
test_version/1,
test_memory_stats/1,
test_gc/1,
test_erlang_callback/1,
test_erlang_callback_mfa/1,
test_erlang_import_syntax/1,
test_erlang_attr_syntax/1,
test_asyncio_call/1,
test_asyncio_gather/1,
test_subinterp_supported/1,
test_parallel_execution/1,
test_venv/1,
%% New scalability tests
test_execution_mode/1,
test_num_executors/1,
test_semaphore_basic/1,
test_semaphore_acquire_release/1,
test_semaphore_concurrent/1,
test_semaphore_timeout/1,
test_semaphore_rate_limiting/1,
test_overload_protection/1,
test_shared_state/1,
test_reload/1,
%% ASGI optimization tests
test_asgi_response_extraction/1,
test_asgi_header_caching/1,
test_asgi_status_codes/1,
test_asgi_scope_caching/1,
test_asgi_zero_copy_buffer/1,
test_asgi_lazy_headers/1
]).
all() ->
[
test_call_math,
test_call_json,
test_call_kwargs,
test_eval,
test_eval_complex_locals,
test_exec,
test_async_call,
test_type_conversions,
test_nested_types,
test_timeout,
test_special_floats,
test_streaming,
test_stream_function,
test_stream_iterators,
test_error_handling,
test_version,
test_memory_stats,
test_gc,
test_erlang_callback,
test_erlang_callback_mfa,
test_erlang_import_syntax,
test_erlang_attr_syntax,
test_asyncio_call,
test_asyncio_gather,
test_subinterp_supported,
test_parallel_execution,
test_venv,
%% Scalability tests
test_execution_mode,
test_num_executors,
test_semaphore_basic,
test_semaphore_acquire_release,
test_semaphore_concurrent,
test_semaphore_timeout,
test_semaphore_rate_limiting,
test_overload_protection,
test_shared_state,
test_reload,
%% ASGI optimization tests
test_asgi_response_extraction,
test_asgi_header_caching,
test_asgi_status_codes,
test_asgi_scope_caching,
test_asgi_zero_copy_buffer,
test_asgi_lazy_headers
].
init_per_suite(Config) ->
{ok, _} = application:ensure_all_started(erlang_python),
Config.
end_per_suite(_Config) ->
ok = application:stop(erlang_python),
ok.
test_call_math(_Config) ->
{ok, 4.0} = py:call(math, sqrt, [16]),
{ok, 120} = py:call(math, factorial, [5]),
%% Test accessing module attribute via eval - use __import__
{ok, Pi} = py:eval(<<"__import__('math').pi">>),
true = Pi > 3.14 andalso Pi < 3.15,
ok.
test_call_json(_Config) ->
%% Encode
{ok, Json} = py:call(json, dumps, [#{foo => bar}]),
true = is_binary(Json),
%% Decode
{ok, Decoded} = py:call(json, loads, [<<"{\"a\": 1, \"b\": [1,2,3]}">>]),
#{<<"a">> := 1, <<"b">> := [1, 2, 3]} = Decoded,
ok.
test_call_kwargs(_Config) ->
%% Test keyword arguments with json.dumps indent parameter
{ok, JsonIndented} = py:call(json, dumps, [#{a => 1}], #{indent => 2}),
true = is_binary(JsonIndented),
%% Indented JSON should contain newlines
true = binary:match(JsonIndented, <<"\n">>) =/= nomatch,
%% Test keyword arguments with sort_keys
{ok, JsonSorted} = py:call(json, dumps, [#{z => 1, a => 2}], #{sort_keys => true}),
true = is_binary(JsonSorted),
%% Test multiple kwargs
{ok, JsonMulti} = py:call(json, dumps, [#{b => 1, a => 2}], #{indent => 4, sort_keys => true}),
true = is_binary(JsonMulti),
true = binary:match(JsonMulti, <<"\n">>) =/= nomatch,
%% Test with string functions - str.split with maxsplit kwarg
{ok, Split} = py:eval(<<"'a-b-c-d'.split('-', maxsplit=2)">>),
[<<"a">>, <<"b">>, <<"c-d">>] = Split,
ok.
test_eval(_Config) ->
{ok, 45} = py:eval(<<"sum(range(10))">>),
{ok, 25} = py:eval(<<"x * y">>, #{x => 5, y => 5}),
{ok, [0, 1, 4, 9, 16]} = py:eval(<<"[x**2 for x in range(5)]">>),
ok.
test_eval_complex_locals(_Config) ->
%% Test eval with list local
{ok, 15} = py:eval(<<"sum(numbers)">>, #{numbers => [1, 2, 3, 4, 5]}),
%% Test eval with map local
{ok, <<"Alice">>} = py:eval(<<"data['name']">>, #{data => #{name => <<"Alice">>, age => 30}}),
%% Test eval with nested structures
{ok, 42} = py:eval(<<"config['settings']['value']">>,
#{config => #{settings => #{value => 42}}}),
%% Test eval with multiple complex locals using default argument capture
%% Note: Python's eval() locals aren't accessible in nested scopes (lambda/comprehension)
%% Use default argument to capture the value: lambda x, m=multiplier: x * m
{ok, [2, 4, 6]} = py:eval(<<"list(map(lambda x, m=multiplier: x * m, items))">>,
#{items => [1, 2, 3], multiplier => 2}),
%% Test eval with multiple variables
{ok, 6} = py:eval(<<"a + b + c">>, #{a => 1, b => 2, c => 3}),
%% Test eval using local in function call
{ok, 3} = py:eval(<<"len(word)">>, #{word => <<"foo">>}),
%% Test eval with nested map access
{ok, <<"value">>} = py:eval(<<"obj['nested']['key']">>,
#{obj => #{nested => #{key => <<"value">>}}}),
ok.
test_exec(_Config) ->
%% Test exec - just ensure it doesn't fail
%% Note: exec runs on any worker, subsequent calls may go to different workers
ok = py:exec(<<"x = 42">>),
ok = py:exec(<<"
def my_func():
pass
">>),
ok.
test_async_call(_Config) ->
Ref1 = py:call_async(math, sqrt, [100]),
Ref2 = py:call_async(math, sqrt, [144]),
{ok, 10.0} = py:await(Ref1),
{ok, 12.0} = py:await(Ref2),
ok.
test_type_conversions(_Config) ->
%% Integer
{ok, 42} = py:eval(<<"42">>),
%% Float
{ok, 3.14} = py:eval(<<"3.14">>),
%% String -> binary
{ok, <<"hello">>} = py:eval(<<"'hello'">>),
%% Boolean
{ok, true} = py:eval(<<"True">>),
{ok, false} = py:eval(<<"False">>),
%% None
{ok, none} = py:eval(<<"None">>),
%% List
{ok, [1, 2, 3]} = py:eval(<<"[1, 2, 3]">>),
%% Tuple
{ok, {1, 2, 3}} = py:eval(<<"(1, 2, 3)">>),
%% Dict -> map
{ok, #{<<"a">> := 1}} = py:eval(<<"{'a': 1}">>),
ok.
test_nested_types(_Config) ->
%% Test nested list
{ok, [[1, 2], [3, 4]]} = py:eval(<<"[[1, 2], [3, 4]]">>),
%% Test nested dict
{ok, #{<<"outer">> := #{<<"inner">> := 42}}} =
py:eval(<<"{'outer': {'inner': 42}}">>),
%% Test list of dicts
{ok, [#{<<"a">> := 1}, #{<<"b">> := 2}]} =
py:eval(<<"[{'a': 1}, {'b': 2}]">>),
%% Test dict with list values
{ok, #{<<"items">> := [1, 2, 3]}} = py:eval(<<"{'items': [1, 2, 3]}">>),
%% Test tuple containing lists
{ok, {[1, 2], [3, 4]}} = py:eval(<<"([1, 2], [3, 4])">>),
%% Test list containing tuple
{ok, [{1, 2}, {3, 4}]} = py:eval(<<"[(1, 2), (3, 4)]">>),
%% Test deep nesting
{ok, #{<<"level1">> := #{<<"level2">> := #{<<"level3">> := <<"deep">>}}}} =
py:eval(<<"{'level1': {'level2': {'level3': 'deep'}}}">>),
%% Test mixed nesting
{ok, #{<<"data">> := [{1, <<"a">>}, {2, <<"b">>}]}} =
py:eval(<<"{'data': [(1, 'a'), (2, 'b')]}">>),
ok.
test_timeout(_Config) ->
%% Test that timeout works - use a heavy computation
%% sum(range(10**8)) will trigger timeout
{error, timeout} = py:eval(<<"sum(range(10**8))">>, #{}, 100),
%% Test that normal operations complete within timeout
{ok, 45} = py:eval(<<"sum(range(10))">>, #{}, 5000),
%% Test call with timeout
{ok, 4.0} = py:call(math, sqrt, [16], #{}, 5000),
ok.
test_special_floats(_Config) ->
%% Test NaN
{ok, nan} = py:eval(<<"float('nan')">>),
%% Test Infinity
{ok, infinity} = py:eval(<<"float('inf')">>),
%% Test negative infinity
{ok, neg_infinity} = py:eval(<<"float('-inf')">>),
ok.
test_streaming(_Config) ->
%% Test generator expression streaming
{ok, [0, 1, 4, 9, 16]} = py:stream_eval(<<"(x**2 for x in range(5))">>),
%% Test range iterator
{ok, [0, 1, 2, 3, 4]} = py:stream_eval(<<"iter(range(5))">>),
%% Test map streaming
{ok, [<<"A">>, <<"B">>, <<"C">>]} = py:stream_eval(<<"(c.upper() for c in 'abc')">>),
%% Test filtered generator expression (documented in streaming.md)
{ok, Evens} = py:stream_eval(<<"(x for x in range(10) if x % 2 == 0)">>),
[0, 2, 4, 6, 8] = Evens,
ok.
test_stream_function(_Config) ->
%% Test streaming from generator functions
%% As documented in streaming.md, you can define generator functions
%% and stream from them. We test with inline generators using lambda.
%% Fibonacci generator - compute fibonacci sequence using lambda wrapper
%% (as documented pattern for inline generators)
{ok, Fib} = py:stream_eval(<<"(lambda: ((fib := [0, 1]), [fib.append(fib[-1] + fib[-2]) for _ in range(8)], iter(fib))[-1])()">>),
ct:pal("Fibonacci result: ~p~n", [Fib]),
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34] = Fib,
%% Test py:stream/3 with builtins that return iterators
{ok, Result} = py:stream(builtins, iter, [[1, 2, 3, 4, 5]]),
[1, 2, 3, 4, 5] = Result,
%% Test stream with enumerate and kwargs (start parameter)
{ok, EnumResult} = py:stream(builtins, enumerate, [[<<"a">>, <<"b">>, <<"c">>]], #{start => 1}),
[{1, <<"a">>}, {2, <<"b">>}, {3, <<"c">>}] = EnumResult,
%% Test stream_eval with filter (returns iterator)
{ok, FilterResult} = py:stream_eval(<<"filter(lambda x: x > 2, [1, 2, 3, 4, 5])">>),
[3, 4, 5] = FilterResult,
%% Test batching generator (as documented in streaming.md)
{ok, Batches} = py:stream_eval(<<"(lambda data, size: (data[i:i+size] for i in range(0, len(data), size)))([1,2,3,4,5,6,7], 3)">>),
ct:pal("Batches: ~p~n", [Batches]),
[[1, 2, 3], [4, 5, 6], [7]] = Batches,
ok.
test_stream_iterators(_Config) ->
%% Test dictionary items iterator (documented in streaming.md)
{ok, Items} = py:stream_eval(<<"iter({'a': 1, 'b': 2, 'c': 3}.items())">>),
ct:pal("Dict items: ~p~n", [Items]),
%% Items should be tuples
true = lists:all(fun(I) -> is_tuple(I) end, Items),
3 = length(Items),
%% Test dictionary keys iterator
{ok, Keys} = py:stream_eval(<<"iter({'x': 10, 'y': 20}.keys())">>),
true = lists:all(fun(K) -> is_binary(K) end, Keys),
%% Test dictionary values iterator
{ok, Values} = py:stream_eval(<<"iter({'x': 10, 'y': 20}.values())">>),
true = lists:all(fun(V) -> is_integer(V) end, Values),
%% Test enumerate iterator
{ok, Enumerated} = py:stream_eval(<<"enumerate(['a', 'b', 'c'])">>),
[{0, <<"a">>}, {1, <<"b">>}, {2, <<"c">>}] = Enumerated,
%% Test zip iterator
{ok, Zipped} = py:stream_eval(<<"zip([1, 2, 3], ['a', 'b', 'c'])">>),
[{1, <<"a">>}, {2, <<"b">>}, {3, <<"c">>}] = Zipped,
ok.
test_error_handling(_Config) ->
%% Test Python exception
{error, {'NameError', _}} = py:eval(<<"undefined_variable">>),
%% Test syntax error
{error, {'SyntaxError', _}} = py:eval(<<"if True">>),
%% Test division by zero
{error, {'ZeroDivisionError', _}} = py:eval(<<"1/0">>),
%% Test import error
{error, {'ModuleNotFoundError', _}} = py:call(nonexistent_module, func, []),
ok.
test_version(_Config) ->
{ok, Version} = py:version(),
true = is_binary(Version),
true = byte_size(Version) > 0,
ok.
test_memory_stats(_Config) ->
{ok, Stats} = py:memory_stats(),
true = is_map(Stats),
%% Check that we have GC stats
true = maps:is_key(gc_stats, Stats),
true = maps:is_key(gc_count, Stats),
true = maps:is_key(gc_threshold, Stats),
%% Test tracemalloc
ok = py:tracemalloc_start(),
%% Allocate some memory
{ok, _} = py:eval(<<"[x**2 for x in range(1000)]">>),
{ok, StatsWithTrace} = py:memory_stats(),
true = maps:is_key(traced_memory_current, StatsWithTrace),
true = maps:is_key(traced_memory_peak, StatsWithTrace),
ok = py:tracemalloc_stop(),
ok.
test_gc(_Config) ->
%% Test basic GC
{ok, Collected} = py:gc(),
true = is_integer(Collected),
true = Collected >= 0,
%% Test generation-specific GC
{ok, Collected0} = py:gc(0),
true = is_integer(Collected0),
{ok, Collected1} = py:gc(1),
true = is_integer(Collected1),
{ok, Collected2} = py:gc(2),
true = is_integer(Collected2),
ok.
test_erlang_callback(_Config) ->
%% Register a simple function that adds two numbers
py:register_function(add, fun([A, B]) -> A + B end),
%% Call from Python - erlang module is auto-imported
{ok, Result1} = py:eval(<<"erlang.call('add', 5, 7)">>),
12 = Result1,
%% Register function with multiple return types
py:register_function(get_info, fun([]) -> #{name => <<"test">>, count => 42} end),
{ok, Info} = py:eval(<<"erlang.call('get_info')">>),
#{<<"name">> := <<"test">>, <<"count">> := 42} = Info,
%% Register function that works with lists
py:register_function(reverse_list, fun([L]) -> lists:reverse(L) end),
{ok, Reversed} = py:eval(<<"erlang.call('reverse_list', [1, 2, 3])">>),
[3, 2, 1] = Reversed,
%% Cleanup
py:unregister_function(add),
py:unregister_function(get_info),
py:unregister_function(reverse_list),
ok.
test_erlang_callback_mfa(_Config) ->
%% Test registering an MFA (Module:Function style)
%%
%% Note: MFA callbacks receive ALL arguments as a single list [Args].
%% So erlang.call('foo', 1, 2, 3) passes Args = [1, 2, 3] to the function.
%% The function is called as Module:Function([1, 2, 3]).
%%
%% This means functions that work with MFA must accept a list argument.
%% lists:sum expects a list - works perfectly with MFA
py:register_function(sum_list, lists, sum),
{ok, 15} = py:eval(<<"erlang.call('sum_list', 1, 2, 3, 4, 5)">>),
%% lists:reverse expects a list - works with MFA
py:register_function(reverse_list, lists, reverse),
{ok, [3, 2, 1]} = py:eval(<<"erlang.call('reverse_list', 1, 2, 3)">>),
%% erlang:hd gets the first element of the args list
py:register_function(first_arg, erlang, hd),
{ok, <<"hello">>} = py:eval(<<"erlang.call('first_arg', 'hello', 'world')">>),
%% erlang:length gets the count of arguments
py:register_function(arg_count, erlang, length),
{ok, 4} = py:eval(<<"erlang.call('arg_count', 'a', 'b', 'c', 'd')">>),
%% Cleanup
py:unregister_function(sum_list),
py:unregister_function(reverse_list),
py:unregister_function(first_arg),
py:unregister_function(arg_count),
ok.
test_erlang_import_syntax(_Config) ->
%% Test "from erlang import func_name" syntax
%% This test mirrors test_erlang_callback but uses the new import syntax
%%
%% Note: We use assert statements to verify results within the exec block
%% because workers may change between py:exec and py:eval calls.
py:register_function(add, fun([A, B]) -> A + B end),
py:register_function(greet, fun([Name]) -> <<"Hello, ", Name/binary>> end),
%% Test basic import - will fail with AssertionError if result is wrong
ok = py:exec(<<"
from erlang import add
result = add(10, 20)
assert result == 30, f'Expected 30, got {result}'
">>),
%% Test import with alias
ok = py:exec(<<"
from erlang import add as my_add
result = my_add(40, 60)
assert result == 100, f'Expected 100, got {result}'
">>),
%% Test importing and using a string function
%% Note: Erlang binary comes back as Python str (due to conversion)
ok = py:exec(<<"
from erlang import greet
result = greet('World')
assert result == 'Hello, World' or result == b'Hello, World', f'Expected \"Hello, World\", got {result}'
">>),
%% Cleanup
py:unregister_function(add),
py:unregister_function(greet),
ok.
test_erlang_attr_syntax(_Config) ->
%% Test "erlang.func_name()" syntax (via __getattr__)
%% This test mirrors test_erlang_callback but uses the new attribute syntax
%% Note: erlang module is auto-imported, no need for "import erlang"
py:register_function(multiply, fun([A, B]) -> A * B end),
py:register_function(get_data, fun([]) -> #{value => 42} end),
%% Test direct attribute access call (erlang is auto-imported)
{ok, 50} = py:eval(<<"erlang.multiply(5, 10)">>),
%% Test no-arg function via attr syntax
{ok, #{<<"value">> := 42}} = py:eval(<<"erlang.get_data()">>),
%% Verify backward compatibility - erlang.call() still works
{ok, 100} = py:eval(<<"erlang.call('multiply', 10, 10)">>),
%% Cleanup
py:unregister_function(multiply),
py:unregister_function(get_data),
ok.
test_asyncio_call(_Config) ->
%% Test async call to asyncio coroutine
%% The async pool runs async functions in a background asyncio event loop
Ref = py:async_call('__main__', 'eval', [<<"1 + 1">>]),
true = is_reference(Ref),
%% We may not get a result for simple eval since it's not a real coroutine
%% Just verify the call mechanism works
_Result = py:async_await(Ref, 5000),
ok.
test_asyncio_gather(_Config) ->
%% Test gathering multiple async calls
%% This tests the async_gather functionality
Calls = [
{math, sqrt, [16]},
{math, sqrt, [25]},
{math, sqrt, [36]}
],
Result = py:async_gather(Calls),
ct:pal("async_gather result: ~p~n", [Result]),
%% Verify the result structure
case Result of
{ok, Results} when is_list(Results) ->
%% Should have 3 results
3 = length(Results),
%% Verify the values if they're successful
ct:pal("Gathered results: ~p~n", [Results]),
ok;
{error, Reason} ->
%% Async pool might not be fully functional in test env
ct:pal("async_gather returned error (may be expected): ~p~n", [Reason]),
ok
end.
test_subinterp_supported(_Config) ->
%% Test that subinterp_supported returns a boolean
Result = py:subinterp_supported(),
true = is_boolean(Result),
%% Log the result
ct:pal("Sub-interpreter support: ~p~n", [Result]),
ok.
test_parallel_execution(_Config) ->
%% Test parallel execution using sub-interpreters (Python 3.12+)
case py:subinterp_supported() of
true ->
Calls = [
{math, sqrt, [16]},
{math, sqrt, [25]},
{math, sqrt, [36]},
{math, sqrt, [49]}
],
Result = py:parallel(Calls),
ct:pal("Parallel result: ~p~n", [Result]),
%% parallel/1 should return {ok, Results} on success
%% or {error, Reason} on failure
case Result of
{ok, Results} when is_list(Results) ->
4 = length(Results),
ok;
{error, Reason} ->
ct:pal("Parallel execution failed: ~p (may be expected on some setups)~n", [Reason]),
ok
end;
false ->
ct:pal("Sub-interpreters not supported, skipping parallel test~n"),
ok
end.
test_venv(_Config) ->
%% Test venv_info when no venv is active
{ok, #{<<"active">> := false}} = py:venv_info(),
%% Create a fake venv structure for testing (faster than real venv)
TmpDir = <<"/tmp/erlang_python_test_venv">>,
%% Get Python version for site-packages path
{ok, PyVer} = py:eval(<<"f'python{__import__(\"sys\").version_info.major}.{__import__(\"sys\").version_info.minor}'">>),
%% Create minimal venv structure using os.makedirs
SitePackages = <<TmpDir/binary, "/lib/", PyVer/binary, "/site-packages">>,
{ok, _} = py:call(os, makedirs, [SitePackages], #{exist_ok => true}),
%% Activate it
ok = py:activate_venv(TmpDir),
%% Check venv_info
{ok, Info} = py:venv_info(),
true = maps:get(<<"active">>, Info),
true = is_binary(maps:get(<<"venv_path">>, Info)),
true = is_binary(maps:get(<<"site_packages">>, Info)),
%% Deactivate
ok = py:deactivate_venv(),
%% Verify deactivated
{ok, #{<<"active">> := false}} = py:venv_info(),
%% Test error case - invalid path
{error, _} = py:activate_venv(<<"/nonexistent/path">>),
%% Cleanup
{ok, _} = py:call(shutil, rmtree, [TmpDir], #{ignore_errors => true}),
ok.
%%% ============================================================================
%%% Scalability Tests
%%% ============================================================================
test_execution_mode(_Config) ->
%% Test that execution_mode returns a valid mode
Mode = py:execution_mode(),
ct:pal("Execution mode: ~p~n", [Mode]),
true = lists:member(Mode, [free_threaded, subinterp, multi_executor]),
ok.
test_num_executors(_Config) ->
%% Test that num_executors returns a positive integer
Num = py:num_executors(),
ct:pal("Number of executors: ~p~n", [Num]),
true = is_integer(Num),
true = Num > 0,
ok.
test_semaphore_basic(_Config) ->
%% Test semaphore initialization and basic getters
Max = py_semaphore:max_concurrent(),
Current = py_semaphore:current(),
ct:pal("Semaphore - Max: ~p, Current: ~p~n", [Max, Current]),
true = is_integer(Max),
true = Max > 0,
true = is_integer(Current),
true = Current >= 0,
ok.
test_semaphore_acquire_release(_Config) ->
%% Test basic acquire/release cycle
Initial = py_semaphore:current(),
%% Acquire
ok = py_semaphore:acquire(1000),
After1 = py_semaphore:current(),
true = After1 > Initial,
%% Release
ok = py_semaphore:release(),
After2 = py_semaphore:current(),
After2 = Initial,
ok.
test_semaphore_concurrent(_Config) ->
%% Test concurrent acquire/release from multiple processes
Parent = self(),
NumProcs = 20,
%% Spawn processes that each acquire, sleep, and release
Pids = [spawn_link(fun() ->
ok = py_semaphore:acquire(5000),
timer:sleep(10),
ok = py_semaphore:release(),
Parent ! {done, self()}
end) || _ <- lists:seq(1, NumProcs)],
%% Wait for all to complete
[receive {done, Pid} -> ok after 10000 -> ct:fail({timeout, Pid}) end || Pid <- Pids],
%% Current should be back to 0 (or initial state)
timer:sleep(50),
Current = py_semaphore:current(),
ct:pal("After concurrent test - Current: ~p~n", [Current]),
true = Current =:= 0,
ok.
test_semaphore_timeout(_Config) ->
%% Save original max
OrigMax = py_semaphore:max_concurrent(),
%% Set a very low limit
ok = py_semaphore:set_max_concurrent(1),
1 = py_semaphore:max_concurrent(),
%% First acquire should succeed
ok = py_semaphore:acquire(1000),
%% Second acquire should timeout (we're at max)
Parent = self(),
spawn_link(fun() ->
Result = py_semaphore:acquire(100),
Parent ! {acquire_result, Result}
end),
Result = receive
{acquire_result, R} -> R
after 2000 ->
ct:fail(timeout_waiting_for_result)
end,
%% Should have gotten error
{error, max_concurrent} = Result,
%% Release and restore
ok = py_semaphore:release(),
ok = py_semaphore:set_max_concurrent(OrigMax),
ok.
test_semaphore_rate_limiting(_Config) ->
%% Test that the semaphore properly limits concurrent operations
OrigMax = py_semaphore:max_concurrent(),
%% Set limit to 3
ok = py_semaphore:set_max_concurrent(3),
Parent = self(),
Counter = atomics:new(1, [{signed, false}]),
%% Track max concurrent
MaxSeen = atomics:new(1, [{signed, false}]),
NumProcs = 10,
Pids = [spawn_link(fun() ->
ok = py_semaphore:acquire(10000),
atomics:add(Counter, 1, 1),
Cur = atomics:get(Counter, 1),
%% Update max seen
OldMax = atomics:get(MaxSeen, 1),
case Cur > OldMax of
true -> atomics:put(MaxSeen, 1, Cur);
false -> ok
end,
timer:sleep(50),
atomics:sub(Counter, 1, 1),
ok = py_semaphore:release(),
Parent ! {done, self()}
end) || _ <- lists:seq(1, NumProcs)],
%% Wait for all
[receive {done, Pid} -> ok after 30000 -> ct:fail({timeout, Pid}) end || Pid <- Pids],
%% Check that max concurrent never exceeded limit
MaxConcurrent = atomics:get(MaxSeen, 1),
ct:pal("Max concurrent seen: ~p (limit was 3)~n", [MaxConcurrent]),
true = MaxConcurrent =< 3,
%% Restore
ok = py_semaphore:set_max_concurrent(OrigMax),
ok.
test_overload_protection(_Config) ->
%% Test that py:call returns overload error when semaphore is exhausted
OrigMax = py_semaphore:max_concurrent(),
%% Set very low limit
ok = py_semaphore:set_max_concurrent(1),
%% Acquire the only slot
ok = py_semaphore:acquire(1000),
%% Now py:call should fail with overload
Parent = self(),
spawn_link(fun() ->
Result = py:call(math, sqrt, [4], #{}, 100),
Parent ! {call_result, Result}
end),
Result = receive
{call_result, R} -> R
after 2000 ->
ct:fail(timeout_waiting_for_result)
end,
ct:pal("Overload result: ~p~n", [Result]),
%% Should be overloaded error
case Result of
{error, {overloaded, _, _}} -> ok;
{error, timeout} -> ok; %% Also acceptable
Other -> ct:fail({unexpected_result, Other})
end,
%% Cleanup
ok = py_semaphore:release(),
ok = py_semaphore:set_max_concurrent(OrigMax),
ok.
test_shared_state(_Config) ->
%% Test shared state from Erlang side
ok = py:state_store(<<"test_key">>, #{value => 42}),
{ok, #{value := 42}} = py:state_fetch(<<"test_key">>),
%% Test from Python side - set from Python, read from Erlang
ok = py:exec(<<"
from erlang import state_set
state_set('python_key', {'message': 'hello from python', 'numbers': [1, 2, 3]})
">>),
{ok, Result} = py:state_fetch(<<"python_key">>),
ct:pal("State from Python: ~p~n", [Result]),
#{<<"message">> := <<"hello from python">>, <<"numbers">> := [1, 2, 3]} = Result,
%% Test from Python side - read state set from Erlang
ok = py:state_store(<<"erlang_key">>, #{count => 100}),
ok = py:exec(<<"
from erlang import state_get
data = state_get('erlang_key')
assert data == {'count': 100}, f'Expected {{count: 100}}, got {data}'
">>),
%% Test state_keys from Python
ok = py:exec(<<"
from erlang import state_keys
keys = state_keys()
assert 'test_key' in keys, f'Expected test_key in {keys}'
assert 'python_key' in keys, f'Expected python_key in {keys}'
assert 'erlang_key' in keys, f'Expected erlang_key in {keys}'
">>),
%% Test state_delete from Python
ok = py:exec(<<"
from erlang import state_delete
state_delete('python_key')
">>),
{error, not_found} = py:state_fetch(<<"python_key">>),
%% Test state_clear
ok = py:state_clear(),
[] = py:state_keys(),
%% Test atomic counters from Erlang
1 = py:state_incr(<<"counter">>),
2 = py:state_incr(<<"counter">>),
12 = py:state_incr(<<"counter">>, 10),
11 = py:state_decr(<<"counter">>),
6 = py:state_decr(<<"counter">>, 5),
%% Test atomic counters from Python
ok = py:exec(<<"
from erlang import state_incr, state_decr
# Increment
val = state_incr('py_counter')
assert val == 1, f'Expected 1, got {val}'
val = state_incr('py_counter', 5)
assert val == 6, f'Expected 6, got {val}'
# Decrement
val = state_decr('py_counter')
assert val == 5, f'Expected 5, got {val}'
val = state_decr('py_counter', 3)
assert val == 2, f'Expected 2, got {val}'
">>),
{ok, 2} = py:state_fetch(<<"py_counter">>),
%% Cleanup
ok = py:state_clear(),
ok.
%% Test module reload across all workers
test_reload(_Config) ->
%% First, ensure json module is imported in at least one worker
{ok, _} = py:call(json, dumps, [[1, 2, 3]]),
%% Now reload it - should succeed across all workers
ok = py:reload(json),
%% Verify the module still works after reload
{ok, <<"[1, 2, 3]">>} = py:call(json, dumps, [[1, 2, 3]]),
%% Test reload of a module that might not be loaded (should not error)
ok = py:reload(collections),
%% Test reload with binary module name
ok = py:reload(<<"os">>),
%% Test reload with string module name
ok = py:reload("sys"),
ok.
%%% ============================================================================
%%% ASGI Optimization Tests
%%% ============================================================================
%% Test direct response tuple extraction optimization
test_asgi_response_extraction(_Config) ->
%% Test that we can create and process ASGI-style response tuples
%% The optimization handles (status, headers, body) tuples directly
%% Create a response tuple similar to what ASGI returns
Code = <<"(200, [(b'content-type', b'application/json'), (b'x-custom', b'value')], b'{\"result\": \"ok\"}')">>,
{ok, Result} = py:eval(Code),
ct:pal("ASGI response: ~p~n", [Result]),
%% Verify the tuple structure
{200, Headers, Body} = Result,
true = is_list(Headers),
true = is_binary(Body),
%% Verify headers
2 = length(Headers),
[{<<"content-type">>, <<"application/json">>}, {<<"x-custom">>, <<"value">>}] = Headers,
%% Verify body
<<"{\"result\": \"ok\"}">> = Body,
%% Test with empty headers and body
{ok, {204, [], <<>>}} = py:eval(<<"(204, [], b'')">>),
%% Test with multiple headers
{ok, {301, [{<<"location">>, <<"https://example.com">>}], <<>>}} =
py:eval(<<"(301, [(b'location', b'https://example.com')], b'')">>),
ok.
%% Test pre-interned header name caching
test_asgi_header_caching(_Config) ->
%% Test that common headers are handled correctly
%% The optimization caches common HTTP header names as Python bytes
Code = <<"[(b'host', b'example.com'), (b'accept', b'*/*'), (b'content-type', b'text/html'), (b'content-length', b'123'), (b'user-agent', b'test-agent'), (b'cookie', b'session=abc'), (b'authorization', b'Bearer token'), (b'cache-control', b'no-cache'), (b'connection', b'keep-alive'), (b'accept-encoding', b'gzip'), (b'accept-language', b'en-US'), (b'referer', b'http://example.com'), (b'origin', b'http://example.com'), (b'if-none-match', b'etag123'), (b'if-modified-since', b'Mon, 01 Jan 2024'), (b'x-forwarded-for', b'192.168.1.1'), (b'x-custom-header', b'custom-value')]">>,
{ok, Headers} = py:eval(Code),
ct:pal("Headers: ~p~n", [Headers]),
%% Verify all headers are present
17 = length(Headers),
%% Verify specific cached headers
{<<"host">>, <<"example.com">>} = lists:nth(1, Headers),
{<<"content-type">>, <<"text/html">>} = lists:nth(3, Headers),
{<<"user-agent">>, <<"test-agent">>} = lists:nth(5, Headers),
%% Verify non-cached header still works
{<<"x-custom-header">>, <<"custom-value">>} = lists:nth(17, Headers),
ok.
%% Test cached status code integers
test_asgi_status_codes(_Config) ->
%% Test that common HTTP status codes are handled correctly
%% The optimization caches PyLong objects for common status codes
%% Test common status codes
StatusCodes = [200, 201, 204, 301, 302, 304, 400, 401, 403, 404, 405, 500, 502, 503],
lists:foreach(fun(Code) ->
Expr = list_to_binary(io_lib:format("(~p, [], b'')", [Code])),
{ok, {Status, [], <<>>}} = py:eval(Expr),
Code = Status
end, StatusCodes),
%% Test uncommon status codes still work
{ok, {418, [], <<>>}} = py:eval(<<"(418, [], b'')">>), %% I'm a teapot
{ok, {599, [], <<>>}} = py:eval(<<"(599, [], b'')">>), %% Network connect timeout
ct:pal("All status codes tested successfully~n"),
ok.
%% Test scope template caching optimization
test_asgi_scope_caching(_Config) ->
%% This test verifies that scope caching works correctly by running
%% multiple requests with the same path and verifying the results.
%% The optimization caches scope templates per path and clones them
%% for subsequent requests.
%% Test that multiple scopes with same path work correctly
%% In practice, the caching is internal to the NIF, but we can
%% verify functional correctness by checking results are consistent
%% Create a dict representing an ASGI scope-like structure
Code1 = <<"{'type': 'http', 'path': '/test', 'method': 'GET', 'headers': [(b'host', b'example.com')]}">>,
{ok, Scope1} = py:eval(Code1),
Code2 = <<"{'type': 'http', 'path': '/test', 'method': 'POST', 'headers': [(b'content-type', b'application/json')]}">>,
{ok, Scope2} = py:eval(Code2),
%% Verify the scopes are correctly structured
ct:pal("Scope1: ~p~n", [Scope1]),
ct:pal("Scope2: ~p~n", [Scope2]),
%% Both should have the same path
#{<<"path">> := <<"/test">>} = Scope1,
#{<<"path">> := <<"/test">>} = Scope2,
%% But different methods
#{<<"method">> := <<"GET">>} = Scope1,
#{<<"method">> := <<"POST">>} = Scope2,
%% Different headers
#{<<"headers">> := [{<<"host">>, <<"example.com">>}]} = Scope1,
#{<<"headers">> := [{<<"content-type">>, <<"application/json">>}]} = Scope2,
ct:pal("Scope caching test passed~n"),
ok.
%% Test zero-copy buffer handling for large bodies
test_asgi_zero_copy_buffer(_Config) ->
%% This test verifies that large bodies are handled correctly
%% The optimization uses a resource-backed buffer for bodies >= 1KB
%% Test with small body (should use PyBytes)
{ok, 100} = py:eval(<<"len(b'X' * 100)">>),
%% Test with larger body and memoryview operations
%% Create a large bytes object and verify it works with memoryview
{ok, 2000} = py:eval(<<"len(b'A' * 2000)">>),
%% Test memoryview on large data
{ok, {2000, 65, 65}} = py:eval(<<"(lambda d: (len(memoryview(d)), memoryview(d)[0], memoryview(d)[-1]))(b'A' * 2000)">>),
%% Test slicing (should work without copying in Python)
{ok, <<"AAAAA">>} = py:eval(<<"(b'A' * 2000)[:5]">>),
ct:pal("Zero-copy buffer test passed~n"),
ok.
%% Test lazy header conversion for ASGI
test_asgi_lazy_headers(_Config) ->
%% This test verifies that the lazy header list implementation is correctly
%% initialized and that header lists with varying sizes can be processed.
%% The LazyHeaderList optimization (for header count >= 4) is internal to
%% the ASGI NIF path, but we can verify the code is functional by testing
%% header list handling in Python.
%% Test with varying header counts to exercise both code paths:
%% - Small (< 4): uses eager conversion
%% - Large (>= 4): uses LazyHeaderList in ASGI NIF path
%% Small header list - should work with regular list conversion
SmallHeaders = <<"[(b'host', b'example.com'), (b'accept', b'*/*')]">>,
{ok, 2} = py:eval(<<"len(", SmallHeaders/binary, ")">>),
ct:pal("Small headers (2) - len check passed~n"),
%% Medium header list - at threshold
MediumHeaders = <<"[(b'host', b'example.com'), (b'accept', b'*/*'), (b'user-agent', b'test/1.0'), (b'content-type', b'text/html')]">>,
{ok, 4} = py:eval(<<"len(", MediumHeaders/binary, ")">>),
ct:pal("Medium headers (4) - len check passed~n"),
%% Large header list - above threshold
LargeHeaders = <<"[(b'host', b'example.com'), (b'accept', b'*/*'), (b'user-agent', b'test/1.0'), (b'accept-encoding', b'gzip'), (b'accept-language', b'en-US'), (b'cache-control', b'no-cache'), (b'connection', b'keep-alive'), (b'cookie', b'session=abc123')]">>,
{ok, 8} = py:eval(<<"len(", LargeHeaders/binary, ")">>),
ct:pal("Large headers (8) - len check passed~n"),
%% Test header list indexing
{ok, {<<"host">>, <<"example.com">>}} = py:eval(<<LargeHeaders/binary, "[0]">>),
ct:pal("Header indexing works~n"),
%% Test negative indexing
{ok, {<<"cookie">>, <<"session=abc123">>}} = py:eval(<<LargeHeaders/binary, "[-1]">>),
ct:pal("Negative indexing works~n"),
%% Test iteration - count using generator
{ok, 8} = py:eval(<<"sum(1 for _ in ", LargeHeaders/binary, ")">>),
ct:pal("Header iteration works~n"),
%% Verify header tuple structure
{ok, true} = py:eval(<<"isinstance(", LargeHeaders/binary, "[0], tuple)">>),
{ok, true} = py:eval(<<"len(", LargeHeaders/binary, "[0]) == 2">>),
ct:pal("Header tuple structure is correct~n"),
%% Verify header name and value are bytes
{ok, true} = py:eval(<<"isinstance(", LargeHeaders/binary, "[0][0], bytes)">>),
{ok, true} = py:eval(<<"isinstance(", LargeHeaders/binary, "[0][1], bytes)">>),
ct:pal("Header name/value types are correct (bytes)~n"),
%% Test 'in' operator
{ok, true} = py:eval(<<"(b'host', b'example.com') in ", LargeHeaders/binary>>),
ct:pal("'in' operator works~n"),
ct:pal("Lazy headers test passed~n"),
ok.