* refactor(tuning): prune dormant runtime knobs Remove unused tuning controls and adaptive search budget state. Extract testable ONNX slot reconciliation and search telemetry hydration seams, and correct the Apple Silicon sysctl value width. * refactor(vector): retire dormant backends Remove unused FAISS, model-infrastructure, VectorIndexManager, and TurboQuant paths while keeping Simeon PQ and float-vector storage. Migrate unused V2.2 quantized schemas transactionally to V2.3. Databases containing non-default quantized formats or packed-code blobs fail closed with recovery guidance and no mutation. * refactor(plugins): remove legacy SDK tooling Remove the Ghidra and SDK submodules, their bespoke tests, and stale scan exclusions. Retain generic PluginProcess coverage against the repository mock fixture. * build(vector): remove stale FAISS overrides * refactor(ipc): remove dormant FSM snapshots * refactor(ingest): unify bounded KG enqueue * fix(plugins): harden allocation contracts Keep ABI outputs null or fully initialized when allocations fail, and represent empty object payloads without relying on malloc(0). * fix(storage): define empty object reads Return a null buffer with zero length for successful empty-object reads instead of treating malloc(0) as an allocation contract. * refactor(storage): trim through string views * test: prune dormant harness helpers Remove unused readiness and fixture helpers, and keep benchmark client-count doubling in a wide integer domain. * chore(cpp): initialize analyzer-facing locals * build(simeon): advance analyzer cleanup * refactor(config): drop dead daemon client keys * refactor(ipc): inject daemon client transport Socket and in-process execution now share DaemonClient request dispatch, so CLI fallbacks do not need alternate service paths. * refactor(retrieval): route CLI through daemon Search and grep now use the same daemon handlers over socket or in-process transport. Live grep remains an explicit freshness inspection. * refactor(graph): move CLI scope into daemon Graph CLI requests now share daemon handlers across socket and in-process transports. CWD filtering occurs before pagination so scoped totals and pages stay correct. * build: isolate test-only runtime controls * refactor(metadata): decouple lock telemetry * fix(services): return on request timeout * fix(retrieval): enforce workspace scope * fix(graph): scope nodes before pagination * fix(grep): drop binary result lines * fix(daemon): bound checkpoint wait * fix(repair): use KG health checks * fix(storage): always verify compressed CRC * perf(vector): skip unchanged PQ snapshots * build(zyp): exclude bench from default build * build: protect Meson files from formatter * refactor: remove unreachable production APIs * refactor(daemon): remove dormant runtime state * fix(vector): harden daemon provider calls Timed-out coroutines must own their client and requests. Provider discovery must also fail instead of returning synthetic embeddings in production. * refactor(storage): remove unusable adapters * fix(cli): unify in-process add requests * fix(tsan): preserve async worker progress * test(cli): isolate daemon-dependent suites * fix(repair): expose queue backoff progress
117 lines
4 KiB
Meson
117 lines
4 KiB
Meson
fs = import('fs')
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onnx_dep = onnxruntime_resolved_dep
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spdlog_dep = dependency('spdlog', required: false)
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json_dep = dependency('nlohmann_json', required: false)
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yams_core = dependency('yams_core', required: false)
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yams_onnx_resource = dependency('yams_onnx_resource', required: false)
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# Boost.Asio is header-only; its runtime needs (boost::system) are already
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# in the top-level boost_dep. Use that variable directly to bypass meson's
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# Windows Boost finder, which can't reconcile Conan's MSVC layout. See
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# meson #14146 for the override_dependency+modules limitation.
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win_extra_deps = []
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if host_machine.system() == 'windows'
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cpp = meson.get_compiler('cpp')
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win_extra_deps += [cpp.find_library('dxgi', required: true)]
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endif
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onnx_opt = get_option('enable-onnx')
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onnx_feature_requested = not onnx_opt.disabled()
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if not get_option('plugin-onnx')
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subdir_done()
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endif
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if not onnx_feature_requested
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message('enable-onnx disabled; skipping yams_onnx_plugin build')
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subdir_done()
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endif
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# Gracefully skip when ONNX Runtime is not discoverable in this environment.
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if not onnx_dep.found()
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message('ONNX Runtime not found in search paths; skipping yams_onnx_plugin')
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subdir_done()
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endif
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yams_onnx_plugin_srcs = [
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'onnx_plugin.cpp',
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'model_provider.cpp',
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'onnx_text_processing.cpp',
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'ort_runtime_loader.cpp',
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'onnx_model_pool.cpp',
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'onnx_colbert_session.cpp',
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]
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plugin_cppargs = []
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if get_option('build-tests') or get_option('build-benchmarks')
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plugin_cppargs += ['-DYAMS_TEST_PROVIDER_CONTROLS=1']
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endif
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# GPU provider defines - these MUST be passed to the plugin for GPU acceleration to work.
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# Conan sets these in pkg-config Cflags, but CMake method may not propagate them.
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# Check if already present via onnx_dep, otherwise use platform detection.
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onnx_cflags = onnx_dep.get_variable(pkgconfig: 'Cflags', default_value: '')
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if onnx_cflags.contains('YAMS_ONNX_COREML_ENABLED')
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plugin_cppargs += ['-DYAMS_ONNX_COREML_ENABLED=1']
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message('ONNX CoreML GPU support enabled (from pkg-config)')
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elif onnx_cflags.contains('YAMS_ONNX_CUDA_ENABLED')
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plugin_cppargs += ['-DYAMS_ONNX_CUDA_ENABLED=1']
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message('ONNX CUDA GPU support enabled (from pkg-config)')
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elif onnx_cflags.contains('YAMS_ONNX_DIRECTML_ENABLED')
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plugin_cppargs += ['-DYAMS_ONNX_DIRECTML_ENABLED=1']
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message('ONNX DirectML GPU support enabled (from pkg-config)')
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elif onnx_cflags.contains('YAMS_ONNX_MIGRAPHX_ENABLED')
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plugin_cppargs += ['-DYAMS_ONNX_MIGRAPHX_ENABLED=1']
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message('ONNX MIGraphX GPU support enabled (from pkg-config)')
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elif host_machine.system() == 'darwin'
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# Fallback: macOS always has CoreML support in prebuilt ONNX Runtime
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plugin_cppargs += ['-DYAMS_ONNX_COREML_ENABLED=1']
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message('ONNX CoreML GPU support enabled (macOS platform detection)')
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endif
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onnx_plugin_deps = [
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spdlog_dep,
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json_dep,
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yams_core,
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dependency('yams_vector'),
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yams_onnx_resource,
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boost_dep,
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] + win_extra_deps
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onnx_compile_dep = onnx_dep.partial_dependency(compile_args: true, includes: true)
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onnx_plugin_deps += [onnx_compile_dep]
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onnx_plugin_link_args = []
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if host_machine.system() == 'linux'
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# Fail link on unresolved symbols to avoid runtime dlopen failures.
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onnx_plugin_link_args += ['-Wl,-z,defs']
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endif
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onnx_plugin_install_rpath = ''
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if host_machine.system() == 'darwin'
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onnx_plugin_install_rpath = '@loader_path/../..'
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elif host_machine.system() == 'linux'
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onnx_plugin_install_rpath = '$ORIGIN/../..'
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endif
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yams_onnx_plugin = shared_module('yams_onnx_plugin',
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yams_onnx_plugin_srcs,
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include_directories: [include_directories('../../include')],
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dependencies: onnx_plugin_deps,
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link_args: onnx_plugin_link_args,
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cpp_args: plugin_cppargs,
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install: true,
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install_dir: plugins_dir,
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install_rpath: onnx_plugin_install_rpath,
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)
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set_variable('yams_onnx_plugin_target', [yams_onnx_plugin])
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# --- Windows: Copy runtime DLLs next to the ONNX plugin ---
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if host_machine.system() == 'windows' and windows_runtime_dlls.length() > 0
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foreach dll_info : windows_runtime_dlls
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dll_name = dll_info[0]
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dll_src = dll_info[1]
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fs.copyfile(dll_src, dll_name, install: false)
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endforeach
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endif
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