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yanjie:main yanjie:sample-delivery yanjie:customer-demo yanjie:silicone yanjie:android-main yanjie:sdk-dev yanjie:pre-module-dev yanjie:display yanjie:cli yanjie:dev
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compare: yanjie:pre-module-dev
Branches Tags
yanjie:sample-delivery yanjie:customer-demo yanjie:main yanjie:silicone yanjie:android-main yanjie:sdk-dev yanjie:pre-module-dev yanjie:display yanjie:cli yanjie:dev
yanjie:0528-5 yanjie:0528-1 yanjie:0528-6 yanjie:0521-4 yanjie:0.4.0 yanjie:0.3.1 yanjie:0.3.0 yanjie:0.2.0 yanjie:0.1.0

1 Commits
59e9203363 ... pre-module

Author SHA1 Message Date
lenn
0833694e1b feat: integrate basin force estimator (pre-force) for 7x12 sensor 2026-05-11 17:04:47 +08:00
57 changed files with 33885 additions and 1820 deletions
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@@ -25,12 +25,6 @@ vite.config.ts.timestamp-*
/src-tauri/target/
/src-tauri/target-codex-check*/
/src-tauri/gen/schemas/
/src-tauri/gen/android/app/build/
/src-tauri/gen/android/buildSrc/build/
/src-tauri/gen/android/.gradle/
/src-tauri/gen/android/app/.gradle/
/src-tauri/gen/android/buildSrc/.gradle/
/src-tauri/gen/android/build/reports/
/src-tauri/program.log*
/src-tauri/recording_replay_debug_*.csv

3
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@@ -1,3 +0,0 @@
[submodule "eskin-finger-sdk"]
path = eskin-finger-sdk
url = https://gitea.e-skin.top/yanjie/eskin-finger-sdk.git

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This file lists modules PyInstaller was not able to find. This does not
necessarily mean these modules are required for running your program. Both
Python's standard library and 3rd-party Python packages often conditionally
import optional modules, some of which may be available only on certain
platforms.
Types of import:
* top-level: imported at the top-level - look at these first
* conditional: imported within an if-statement
* delayed: imported within a function
* optional: imported within a try-except-statement
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
tracking down the missing module yourself. Thanks!
missing module named pwd - imported by posixpath (delayed, conditional, optional), subprocess (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (optional), netrc (delayed, optional), http.server (delayed, optional)
missing module named grp - imported by subprocess (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (optional)
missing module named 'collections.abc' - imported by typing (top-level), tracemalloc (top-level), traceback (top-level), _colorize (top-level), selectors (top-level), logging (top-level), http.client (top-level), importlib.resources.readers (top-level), inspect (top-level), multiprocessing.managers (top-level), typing_extensions (top-level), asyncio.base_events (top-level), asyncio.coroutines (top-level), grpc.aio._metadata (top-level), google.protobuf.internal.containers (top-level), google.protobuf.internal.well_known_types (top-level), numpy._typing._array_like (top-level), numpy._typing._nested_sequence (conditional), numpy._typing._shape (top-level), numpy._typing._dtype_like (top-level), numpy.lib._function_base_impl (top-level), _pyrepl.types (top-level), numpy.lib._npyio_impl (top-level), numpy.random._common (top-level), numpy.random._generator (top-level), numpy.random.bit_generator (top-level), numpy.random.mtrand (top-level), numpy.polynomial._polybase (top-level), xml.etree.ElementTree (top-level)
missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed)
missing module named fcntl - imported by subprocess (optional), pathlib._os (optional)
missing module named _posixshmem - imported by multiprocessing.resource_tracker (conditional), multiprocessing.shared_memory (conditional)
missing module named _scproxy - imported by urllib.request (conditional)
missing module named posix - imported by os (conditional, optional), posixpath (optional), shutil (conditional), importlib._bootstrap_external (conditional), pathlib._os (optional), _pyrepl.trace (conditional)
missing module named resource - imported by posix (top-level)
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.forkserver (top-level), multiprocessing.connection (top-level)
missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
missing module named pyimod02_importers - imported by C:\Python314\Lib\site-packages\PyInstaller\hooks\rthooks\pyi_rth_pkgutil.py (delayed)
missing module named _dummy_thread - imported by numpy._core.arrayprint (optional)
missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional)
missing module named charset_normalizer - imported by numpy.f2py.crackfortran (optional)
missing module named vms_lib - imported by platform (delayed, optional)
missing module named 'java.lang' - imported by platform (delayed, optional)
missing module named java - imported by platform (delayed)
missing module named psutil - imported by numpy.testing._private.utils (delayed, optional)
missing module named termios - imported by tty (top-level), _pyrepl.pager (delayed, optional)
missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, conditional, optional), rlcompleter (optional)
missing module named win32pdh - imported by numpy.testing._private.utils (delayed, conditional)
missing module named _typeshed - imported by numpy.random.bit_generator (top-level)
missing module named numpy.random.RandomState - imported by numpy.random (top-level), numpy.random._generator (top-level)
missing module named threadpoolctl - imported by numpy.lib._utils_impl (delayed, optional)
missing module named numpy._core.zeros - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.vstack - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
missing module named numpy._core.void - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.vecmat - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.vecdot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.ushort - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.unsignedinteger - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ulonglong - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ulong - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.uintp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.uintc - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.uint64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.uint32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.uint16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.uint - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ubyte - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.trunc - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.true_divide - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._function_base_impl (top-level), numpy (conditional)
missing module named numpy._core.trace - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.timedelta64 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.tensordot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.tanh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.tan - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.swapaxes - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.sum - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.subtract - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.str_ - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.square - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.sqrt - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.spacing - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.sort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.sinh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.single - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.signedinteger - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.signbit - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.sign - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.short - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.rint - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.right_shift - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.result_type - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.remainder - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.reciprocal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.radians - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.rad2deg - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.prod - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.power - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.positive - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.pi - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.outer - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.ones - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.object_ - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.number - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.not_equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.nextafter - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.newaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.negative - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ndarray - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy.lib._utils_impl (top-level), numpy (conditional)
missing module named numpy._core.multiply - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.moveaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.modf - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.mod - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.minimum - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.maximum - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.max - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.matvec - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.matrix_transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.matmul - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.longlong - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.longdouble - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.long - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_xor - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_or - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_not - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_and - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logaddexp2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logaddexp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log10 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log1p - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.linspace - imported by numpy._core (top-level), numpy.lib._index_tricks_impl (top-level), numpy (conditional)
missing module named numpy._core.less_equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.less - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.left_shift - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ldexp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.lcm - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.isscalar - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.isnat - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
missing module named numpy._core.isnan - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.isfinite - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.intp - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.integer - imported by numpy._core (conditional), numpy (conditional), numpy.fft._helper (top-level)
missing module named numpy._core.intc - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.int64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.int32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.int16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.int8 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.inf - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.inexact - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.iinfo - imported by numpy._core (top-level), numpy.lib._twodim_base_impl (top-level), numpy (conditional)
missing module named numpy._core.hypot - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.hstack - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.heaviside - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.half - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.greater_equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.greater - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.gcd - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.frompyfunc - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.frexp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.fmod - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.fmin - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.fmax - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.floor_divide - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.floor - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.floating - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.float_power - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.float32 - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.float16 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.finfo - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.fabs - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.expm1 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.exp2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.exp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.euler_gamma - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.errstate - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.empty_like - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.empty - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
missing module named numpy._core.e - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.double - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.dot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.divmod - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.divide - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.diagonal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.degrees - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.deg2rad - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.datetime64 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.csingle - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.cross - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.count_nonzero - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.cosh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.cos - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.copysign - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.conjugate - imported by numpy._core (conditional), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.conj - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.complexfloating - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.complex64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.clongdouble - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.character - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ceil - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.cdouble - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.cbrt - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bytes_ - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.byte - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bool_ - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_xor - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_or - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_count - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_and - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.atleast_3d - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
missing module named numpy._core.atleast_2d - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.atleast_1d - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.asarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._array_utils_impl (top-level), numpy (conditional), numpy.fft._helper (top-level), numpy.fft._pocketfft (top-level)
missing module named numpy._core.asanyarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.array_repr - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
missing module named numpy._core.array2string - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.array - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.argsort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.arctanh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arctan2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arctan - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arcsinh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arcsin - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arccosh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arccos - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arange - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
missing module named numpy._core.amin - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.amax - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.all - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.add - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named yaml - imported by numpy.__config__ (delayed)
missing module named numpy._distributor_init_local - imported by numpy (optional), numpy._distributor_init (optional)
missing module named defusedxml - imported by openpyxl.xml (delayed, optional)
missing module named lxml - imported by openpyxl.xml (delayed, optional)
missing module named 'defusedxml.ElementTree' - imported by openpyxl.xml.functions (conditional)
missing module named 'lxml.etree' - imported by openpyxl.xml.functions (conditional)
missing module named PIL - imported by openpyxl.drawing.image (optional)
missing module named openpyxl.tests - imported by openpyxl.reader.excel (optional)
missing module named google.protobuf.pyext._message - imported by google.protobuf.pyext (conditional, optional), google.protobuf.internal.api_implementation (conditional, optional), google.protobuf.descriptor (conditional), google.protobuf.pyext.cpp_message (conditional)
missing module named google.protobuf.enable_deterministic_proto_serialization - imported by google.protobuf (optional), google.protobuf.internal.api_implementation (optional)
missing module named google.protobuf.internal._api_implementation - imported by google.protobuf.internal (optional), google.protobuf.internal.api_implementation (optional)
missing module named grpc_reflection - imported by grpc (optional)
missing module named grpc_health - imported by grpc (optional)
missing module named pkg_resources - imported by grpc_tools.protoc (conditional)

26695
devkit/build/je-skin-devkit-server/xref-je-skin-devkit-server.html Normal file
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BIN
devkit/dist/je-skin-devkit-server.exe vendored Normal file
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1
eskin-finger-sdk

Submodule eskin-finger-sdk deleted from 705375085f

2
src-tauri/.cargo/config.toml Normal file
View File

@@ -0,0 +1,2 @@
[registries.kellnr]
index = "sparse+http://crates.huangyanjie.com/api/v1/crates/"

49
src-tauri/Cargo.lock generated
View File

@@ -14,6 +14,7 @@ dependencies = [
"crc",
"csv",
"dirs",
"eskin-finger-sdk",
"fern",
"futures-util",
"humantime",
@@ -1152,6 +1153,25 @@ dependencies = [
"windows-sys 0.61.2",
]
[[package]]
name = "eskin-finger-sdk"
version = "0.1.0"
source = "sparse+http://crates.huangyanjie.com/api/v1/crates/"
checksum = "341d54dbc70a0fb7cdd04162cdda6ab5735f9a4f717b1921b42c00e8afc37bb9"
dependencies = [
"chrono",
"crc",
"crossbeam-channel",
"fern",
"libc",
"log",
"serde",
"serde_json",
"serialport",
"thiserror 2.0.18",
"uuid",
]
[[package]]
name = "event-listener"
version = "5.4.1"
@@ -2314,9 +2334,9 @@ dependencies = [
[[package]]
name = "libc"
version = "0.2.183"
version = "0.2.186"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b5b646652bf6661599e1da8901b3b9522896f01e736bad5f723fe7a3a27f899d"
checksum = "68ab91017fe16c622486840e4c83c9a37afeff978bd239b5293d61ece587de66"
[[package]]
name = "libloading"
@@ -2340,6 +2360,26 @@ dependencies = [
"redox_syscall 0.7.4",
]
[[package]]
name = "libudev"
version = "0.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "78b324152da65df7bb95acfcaab55e3097ceaab02fb19b228a9eb74d55f135e0"
dependencies = [
"libc",
"libudev-sys",
]
[[package]]
name = "libudev-sys"
version = "0.1.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "3c8469b4a23b962c1396b9b451dda50ef5b283e8dd309d69033475fa9b334324"
dependencies = [
"libc",
"pkg-config",
]
[[package]]
name = "linux-raw-sys"
version = "0.12.1"
@@ -4263,6 +4303,7 @@ dependencies = [
"core-foundation",
"core-foundation-sys",
"io-kit-sys",
"libudev",
"mach2",
"nix 0.26.4",
"scopeguard",
@@ -5565,9 +5606,9 @@ checksum = "b6c140620e7ffbb22c2dee59cafe6084a59b5ffc27a8859a5f0d494b5d52b6be"
[[package]]
name = "uuid"
version = "1.22.0"
version = "1.23.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a68d3c8f01c0cfa54a75291d83601161799e4a89a39e0929f4b0354d88757a37"
checksum = "ddd74a9687298c6858e9b88ec8935ec45d22e8fd5e6394fa1bd4e99a87789c76"
dependencies = [
"getrandom 0.4.2",
"js-sys",

3
src-tauri/Cargo.toml
View File

@@ -49,10 +49,11 @@ crc = "3.4.0"
axum = { version = "0.8", features = ["ws"] }
tower-http = { version = "0.6", features = ["cors"] }
futures-util = "0.3"
uuid = { version = "1", features = ["v4", "serde"] }
uuid = { version = "1.23", features = ["v4", "serde"] }
rand = "0.8"
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
ndarray = { version = "0.15", optional = true }
eskin-finger-sdk = { version = "0.1.0", registry = "kellnr" }
[target.'cfg(not(any(target_os = "android", target_os = "ios")))'.dependencies]
tauri-plugin-updater = "2"

5
src-tauri/gen/android/app/proguard-tauri.pro
View File

@@ -1,5 +0,0 @@
# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
-keep class com.lenn.tauri_serial.TauriActivity {
public app.tauri.plugin.PluginManager getPluginManager();
}

1
src-tauri/gen/android/app/src/main/assets/tauri.conf.json
View File

@@ -1 +0,0 @@
{"$schema":"https://schema.tauri.app/config/2","productName":"JE-Skin","version":"0.4.0","identifier":"com.lenn.tauri-serial","app":{"windows":[{"label":"main","create":true,"url":"index.html","dragDropEnabled":true,"center":false,"width":1366.0,"height":860.0,"resizable":true,"maximizable":true,"minimizable":true,"closable":true,"title":"JE-Skin","fullscreen":false,"focus":true,"focusable":true,"transparent":false,"maximized":false,"visible":true,"decorations":false,"alwaysOnBottom":false,"alwaysOnTop":false,"visibleOnAllWorkspaces":false,"contentProtected":false,"skipTaskbar":false,"titleBarStyle":"Visible","hiddenTitle":false,"acceptFirstMouse":false,"shadow":true,"incognito":false,"zoomHotkeysEnabled":false,"browserExtensionsEnabled":false,"useHttpsScheme":false,"javascriptDisabled":false,"allowLinkPreview":true,"disableInputAccessoryView":false,"scrollBarStyle":"default"}],"security":{"freezePrototype":false,"dangerousDisableAssetCspModification":false,"assetProtocol":{"scope":[],"enable":false},"pattern":{"use":"brownfield"},"capabilities":[]},"macOSPrivateApi":false,"withGlobalTauri":false,"enableGTKAppId":false},"build":{"devUrl":"http://localhost:1420/","frontendDist":"../build","beforeDevCommand":"npm run dev","beforeBuildCommand":"npm run build","removeUnusedCommands":false,"additionalWatchFolders":[]},"bundle":{"active":true,"targets":"all","createUpdaterArtifacts":true,"icon":["icons/32x32.png","icons/128x128.png","icons/128x128@2x.png","icons/icon.icns","icons/icon.ico"],"resources":["resources/je-skin-devkit-server.exe"],"useLocalToolsDir":false,"windows":{"digestAlgorithm":null,"certificateThumbprint":null,"timestampUrl":null,"tsp":false,"webviewInstallMode":{"type":"downloadBootstrapper","silent":true},"allowDowngrades":true,"wix":null,"nsis":{"template":"nsis/installer.nsi","headerImage":null,"sidebarImage":null,"installerIcon":"icons/icon.ico","installMode":"both","languages":null,"customLanguageFiles":null,"displayLanguageSelector":false,"compression":"lzma","startMenuFolder":null,"installerHooks":null,"minimumWebview2Version":null},"signCommand":null},"linux":{"appimage":{"bundleMediaFramework":false,"files":{}},"deb":{"files":{}},"rpm":{"release":"1","epoch":0,"files":{}}},"macOS":{"files":{},"minimumSystemVersion":"10.13","hardenedRuntime":true,"dmg":{"windowSize":{"width":660,"height":400},"appPosition":{"x":180,"y":170},"applicationFolderPosition":{"x":480,"y":170}}},"iOS":{"minimumSystemVersion":"14.0"},"android":{"minSdkVersion":24,"autoIncrementVersionCode":false}},"plugins":{}}

33
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/Ipc.kt
View File

@@ -1,33 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
@file:Suppress("unused")
package com.lenn.tauri_serial
import android.webkit.*
class Ipc(val webViewClient: RustWebViewClient) {
@JavascriptInterface
fun postMessage(message: String?) {
message?.let {m ->
// we're not using WebView::getUrl() here because it needs to be executed on the main thread
// and it would slow down the Ipc
// so instead we track the current URL on the webview client
this.ipc(webViewClient.currentUrl, m)
}
}
companion object {
init {
System.loadLibrary("tauri_demo_lib")
}
}
private external fun ipc(url: String, message: String)
}

89
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/Logger.kt
View File

@@ -1,89 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
@file:Suppress("unused", "MemberVisibilityCanBePrivate")
package com.lenn.tauri_serial
// taken from https://github.com/ionic-team/capacitor/blob/6658bca41e78239347e458175b14ca8bd5c1d6e8/android/capacitor/src/main/java/com/getcapacitor/Logger.java
import android.text.TextUtils
import android.util.Log
class Logger {
companion object {
private const val LOG_TAG_CORE = "Tauri"
fun tags(vararg subtags: String): String {
return if (subtags.isNotEmpty()) {
LOG_TAG_CORE + "/" + TextUtils.join("/", subtags)
} else LOG_TAG_CORE
}
fun verbose(message: String) {
verbose(LOG_TAG_CORE, message)
}
private fun verbose(tag: String, message: String) {
if (!shouldLog()) {
return
}
Log.v(tag, message)
}
fun debug(message: String) {
debug(LOG_TAG_CORE, message)
}
fun debug(tag: String, message: String) {
if (!shouldLog()) {
return
}
Log.d(tag, message)
}
fun info(message: String) {
info(LOG_TAG_CORE, message)
}
fun info(tag: String, message: String) {
if (!shouldLog()) {
return
}
Log.i(tag, message)
}
fun warn(message: String) {
warn(LOG_TAG_CORE, message)
}
fun warn(tag: String, message: String) {
if (!shouldLog()) {
return
}
Log.w(tag, message)
}
fun error(message: String) {
error(LOG_TAG_CORE, message, null)
}
fun error(message: String, e: Throwable?) {
error(LOG_TAG_CORE, message, e)
}
fun error(tag: String, message: String, e: Throwable?) {
if (!shouldLog()) {
return
}
Log.e(tag, message, e)
}
private fun shouldLog(): Boolean {
return BuildConfig.DEBUG
}
}
}

117
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/PermissionHelper.kt
View File

@@ -1,117 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
package com.lenn.tauri_serial
// taken from https://github.com/ionic-team/capacitor/blob/6658bca41e78239347e458175b14ca8bd5c1d6e8/android/capacitor/src/main/java/com/getcapacitor/PermissionHelper.java
import android.content.Context
import android.content.pm.PackageManager
import android.os.Build
import androidx.core.app.ActivityCompat
import java.util.ArrayList
object PermissionHelper {
/**
* Checks if a list of given permissions are all granted by the user
*
* @param permissions Permissions to check.
* @return True if all permissions are granted, false if at least one is not.
*/
fun hasPermissions(context: Context?, permissions: Array<String>): Boolean {
for (perm in permissions) {
if (ActivityCompat.checkSelfPermission(
context!!,
perm
) != PackageManager.PERMISSION_GRANTED
) {
return false
}
}
return true
}
/**
* Check whether the given permission has been defined in the AndroidManifest.xml
*
* @param permission A permission to check.
* @return True if the permission has been defined in the Manifest, false if not.
*/
fun hasDefinedPermission(context: Context, permission: String): Boolean {
var hasPermission = false
val requestedPermissions = getManifestPermissions(context)
if (!requestedPermissions.isNullOrEmpty()) {
val requestedPermissionsList = listOf(*requestedPermissions)
val requestedPermissionsArrayList = ArrayList(requestedPermissionsList)
if (requestedPermissionsArrayList.contains(permission)) {
hasPermission = true
}
}
return hasPermission
}
/**
* Check whether all of the given permissions have been defined in the AndroidManifest.xml
* @param context the app context
* @param permissions a list of permissions
* @return true only if all permissions are defined in the AndroidManifest.xml
*/
fun hasDefinedPermissions(context: Context, permissions: Array<String>): Boolean {
for (permission in permissions) {
if (!hasDefinedPermission(context, permission)) {
return false
}
}
return true
}
/**
* Get the permissions defined in AndroidManifest.xml
*
* @return The permissions defined in AndroidManifest.xml
*/
private fun getManifestPermissions(context: Context): Array<String>? {
var requestedPermissions: Array<String>? = null
try {
val pm = context.packageManager
val packageInfo = if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) {
pm.getPackageInfo(context.packageName, PackageManager.PackageInfoFlags.of(PackageManager.GET_PERMISSIONS.toLong()))
} else {
@Suppress("DEPRECATION")
pm.getPackageInfo(context.packageName, PackageManager.GET_PERMISSIONS)
}
if (packageInfo != null) {
requestedPermissions = packageInfo.requestedPermissions
}
} catch (_: Exception) {
}
return requestedPermissions
}
/**
* Given a list of permissions, return a new list with the ones not present in AndroidManifest.xml
*
* @param neededPermissions The permissions needed.
* @return The permissions not present in AndroidManifest.xml
*/
fun getUndefinedPermissions(context: Context, neededPermissions: Array<String?>): Array<String?> {
val undefinedPermissions = ArrayList<String?>()
val requestedPermissions = getManifestPermissions(context)
if (!requestedPermissions.isNullOrEmpty()) {
val requestedPermissionsList = listOf(*requestedPermissions)
val requestedPermissionsArrayList = ArrayList(requestedPermissionsList)
for (permission in neededPermissions) {
if (!requestedPermissionsArrayList.contains(permission)) {
undefinedPermissions.add(permission)
}
}
var undefinedPermissionArray = arrayOfNulls<String>(undefinedPermissions.size)
undefinedPermissionArray = undefinedPermissions.toArray(undefinedPermissionArray)
return undefinedPermissionArray
}
return neededPermissions
}
}

495
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/RustWebChromeClient.kt
View File

@@ -1,495 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
@file:Suppress("ObsoleteSdkInt", "RedundantOverride", "QueryPermissionsNeeded", "SimpleDateFormat")
package com.lenn.tauri_serial
// taken from https://github.com/ionic-team/capacitor/blob/6658bca41e78239347e458175b14ca8bd5c1d6e8/android/capacitor/src/main/java/com/getcapacitor/BridgeWebChromeClient.java
import android.Manifest
import android.app.Activity
import android.app.AlertDialog
import android.content.ActivityNotFoundException
import android.content.DialogInterface
import android.content.Intent
import android.net.Uri
import android.os.Build
import android.os.Environment
import android.provider.MediaStore
import android.view.View
import android.webkit.*
import android.widget.EditText
import androidx.activity.result.ActivityResult
import androidx.activity.result.ActivityResultCallback
import androidx.activity.result.ActivityResultLauncher
import androidx.activity.result.contract.ActivityResultContracts
import androidx.core.content.FileProvider
import java.io.File
import java.io.IOException
import java.text.SimpleDateFormat
import java.util.*
class RustWebChromeClient(appActivity: WryActivity) : WebChromeClient() {
private interface PermissionListener {
fun onPermissionSelect(isGranted: Boolean?)
}
private interface ActivityResultListener {
fun onActivityResult(result: ActivityResult?)
}
private val activity: WryActivity
private var permissionLauncher: ActivityResultLauncher<Array<String>>
private var activityLauncher: ActivityResultLauncher<Intent>
private var permissionListener: PermissionListener? = null
private var activityListener: ActivityResultListener? = null
init {
activity = appActivity
val permissionCallback =
ActivityResultCallback { isGranted: Map<String, Boolean> ->
if (permissionListener != null) {
var granted = true
for ((_, value) in isGranted) {
if (!value) granted = false
}
permissionListener!!.onPermissionSelect(granted)
}
}
permissionLauncher =
activity.registerForActivityResult(ActivityResultContracts.RequestMultiplePermissions(), permissionCallback)
activityLauncher = activity.registerForActivityResult(
ActivityResultContracts.StartActivityForResult()
) { result ->
if (activityListener != null) {
activityListener!!.onActivityResult(result)
}
}
}
/**
* Render web content in `view`.
*
* Both this method and [.onHideCustomView] are required for
* rendering web content in full screen.
*
* @see [](https://developer.android.com/reference/android/webkit/WebChromeClient.onShowCustomView
) */
override fun onShowCustomView(view: View, callback: CustomViewCallback) {
callback.onCustomViewHidden()
super.onShowCustomView(view, callback)
}
/**
* Render web content in the original Web View again.
*
* Do not remove this method--@see #onShowCustomView(View, CustomViewCallback).
*/
override fun onHideCustomView() {
super.onHideCustomView()
}
override fun onPermissionRequest(request: PermissionRequest) {
val isRequestPermissionRequired = Build.VERSION.SDK_INT >= Build.VERSION_CODES.M
val permissionList: MutableList<String> = ArrayList()
if (listOf(*request.resources).contains("android.webkit.resource.VIDEO_CAPTURE")) {
permissionList.add(Manifest.permission.CAMERA)
}
if (listOf(*request.resources).contains("android.webkit.resource.AUDIO_CAPTURE")) {
permissionList.add(Manifest.permission.MODIFY_AUDIO_SETTINGS)
permissionList.add(Manifest.permission.RECORD_AUDIO)
}
if (permissionList.isNotEmpty() && isRequestPermissionRequired) {
val permissions = permissionList.toTypedArray()
permissionListener = object : PermissionListener {
override fun onPermissionSelect(isGranted: Boolean?) {
if (isGranted == true) {
request.grant(request.resources)
} else {
request.deny()
}
}
}
permissionLauncher.launch(permissions)
} else {
request.grant(request.resources)
}
}
/**
* Show the browser alert modal
* @param view
* @param url
* @param message
* @param result
* @return
*/
override fun onJsAlert(view: WebView, url: String, message: String, result: JsResult): Boolean {
if (activity.isFinishing) {
return true
}
val builder = AlertDialog.Builder(view.context)
builder
.setMessage(message)
.setPositiveButton(
"OK"
) { dialog: DialogInterface, _: Int ->
dialog.dismiss()
result.confirm()
}
.setOnCancelListener { dialog: DialogInterface ->
dialog.dismiss()
result.cancel()
}
val dialog = builder.create()
dialog.show()
return true
}
/**
* Show the browser confirm modal
* @param view
* @param url
* @param message
* @param result
* @return
*/
override fun onJsConfirm(view: WebView, url: String, message: String, result: JsResult): Boolean {
if (activity.isFinishing) {
return true
}
val builder = AlertDialog.Builder(view.context)
builder
.setMessage(message)
.setPositiveButton(
"OK"
) { dialog: DialogInterface, _: Int ->
dialog.dismiss()
result.confirm()
}
.setNegativeButton(
"Cancel"
) { dialog: DialogInterface, _: Int ->
dialog.dismiss()
result.cancel()
}
.setOnCancelListener { dialog: DialogInterface ->
dialog.dismiss()
result.cancel()
}
val dialog = builder.create()
dialog.show()
return true
}
/**
* Show the browser prompt modal
* @param view
* @param url
* @param message
* @param defaultValue
* @param result
* @return
*/
override fun onJsPrompt(
view: WebView,
url: String,
message: String,
defaultValue: String,
result: JsPromptResult
): Boolean {
if (activity.isFinishing) {
return true
}
val builder = AlertDialog.Builder(view.context)
val input = EditText(view.context)
builder
.setMessage(message)
.setView(input)
.setPositiveButton(
"OK"
) { dialog: DialogInterface, _: Int ->
dialog.dismiss()
val inputText1 = input.text.toString().trim { it <= ' ' }
result.confirm(inputText1)
}
.setNegativeButton(
"Cancel"
) { dialog: DialogInterface, _: Int ->
dialog.dismiss()
result.cancel()
}
.setOnCancelListener { dialog: DialogInterface ->
dialog.dismiss()
result.cancel()
}
val dialog = builder.create()
dialog.show()
return true
}
/**
* Handle the browser geolocation permission prompt
* @param origin
* @param callback
*/
override fun onGeolocationPermissionsShowPrompt(
origin: String,
callback: GeolocationPermissions.Callback
) {
super.onGeolocationPermissionsShowPrompt(origin, callback)
Logger.debug("onGeolocationPermissionsShowPrompt: DOING IT HERE FOR ORIGIN: $origin")
val geoPermissions =
arrayOf(Manifest.permission.ACCESS_COARSE_LOCATION, Manifest.permission.ACCESS_FINE_LOCATION)
if (!PermissionHelper.hasPermissions(activity, geoPermissions)) {
permissionListener = object : PermissionListener {
override fun onPermissionSelect(isGranted: Boolean?) {
if (isGranted == true) {
callback.invoke(origin, true, false)
} else {
val coarsePermission =
arrayOf(Manifest.permission.ACCESS_COARSE_LOCATION)
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.S &&
PermissionHelper.hasPermissions(activity, coarsePermission)
) {
callback.invoke(origin, true, false)
} else {
callback.invoke(origin, false, false)
}
}
}
}
permissionLauncher.launch(geoPermissions)
} else {
// permission is already granted
callback.invoke(origin, true, false)
Logger.debug("onGeolocationPermissionsShowPrompt: has required permission")
}
}
override fun onShowFileChooser(
webView: WebView,
filePathCallback: ValueCallback<Array<Uri?>?>,
fileChooserParams: FileChooserParams
): Boolean {
val acceptTypes = listOf(*fileChooserParams.acceptTypes)
val captureEnabled = fileChooserParams.isCaptureEnabled
val capturePhoto = captureEnabled && acceptTypes.contains("image/*")
val captureVideo = captureEnabled && acceptTypes.contains("video/*")
if (capturePhoto || captureVideo) {
if (isMediaCaptureSupported) {
showMediaCaptureOrFilePicker(filePathCallback, fileChooserParams, captureVideo)
} else {
permissionListener = object : PermissionListener {
override fun onPermissionSelect(isGranted: Boolean?) {
if (isGranted == true) {
showMediaCaptureOrFilePicker(filePathCallback, fileChooserParams, captureVideo)
} else {
Logger.warn(Logger.tags("FileChooser"), "Camera permission not granted")
filePathCallback.onReceiveValue(null)
}
}
}
val camPermission = arrayOf(Manifest.permission.CAMERA)
permissionLauncher.launch(camPermission)
}
} else {
showFilePicker(filePathCallback, fileChooserParams)
}
return true
}
private val isMediaCaptureSupported: Boolean
get() {
val permissions = arrayOf(Manifest.permission.CAMERA)
return PermissionHelper.hasPermissions(activity, permissions) ||
!PermissionHelper.hasDefinedPermission(activity, Manifest.permission.CAMERA)
}
private fun showMediaCaptureOrFilePicker(
filePathCallback: ValueCallback<Array<Uri?>?>,
fileChooserParams: FileChooserParams,
isVideo: Boolean
) {
val isVideoCaptureSupported = true
val shown = if (isVideo && isVideoCaptureSupported) {
showVideoCapturePicker(filePathCallback)
} else {
showImageCapturePicker(filePathCallback)
}
if (!shown) {
Logger.warn(
Logger.tags("FileChooser"),
"Media capture intent could not be launched. Falling back to default file picker."
)
showFilePicker(filePathCallback, fileChooserParams)
}
}
private fun showImageCapturePicker(filePathCallback: ValueCallback<Array<Uri?>?>): Boolean {
val takePictureIntent = Intent(MediaStore.ACTION_IMAGE_CAPTURE)
if (takePictureIntent.resolveActivity(activity.packageManager) == null) {
return false
}
val imageFileUri: Uri = try {
createImageFileUri()
} catch (ex: Exception) {
Logger.error("Unable to create temporary media capture file: " + ex.message)
return false
}
takePictureIntent.putExtra(MediaStore.EXTRA_OUTPUT, imageFileUri)
activityListener = object : ActivityResultListener {
override fun onActivityResult(result: ActivityResult?) {
var res: Array<Uri?>? = null
if (result?.resultCode == Activity.RESULT_OK) {
res = arrayOf(imageFileUri)
}
filePathCallback.onReceiveValue(res)
}
}
activityLauncher.launch(takePictureIntent)
return true
}
private fun showVideoCapturePicker(filePathCallback: ValueCallback<Array<Uri?>?>): Boolean {
val takeVideoIntent = Intent(MediaStore.ACTION_VIDEO_CAPTURE)
if (takeVideoIntent.resolveActivity(activity.packageManager) == null) {
return false
}
activityListener = object : ActivityResultListener {
override fun onActivityResult(result: ActivityResult?) {
var res: Array<Uri?>? = null
if (result?.resultCode == Activity.RESULT_OK) {
res = arrayOf(result.data!!.data)
}
filePathCallback.onReceiveValue(res)
}
}
activityLauncher.launch(takeVideoIntent)
return true
}
private fun showFilePicker(
filePathCallback: ValueCallback<Array<Uri?>?>,
fileChooserParams: FileChooserParams
) {
val intent = fileChooserParams.createIntent()
if (fileChooserParams.mode == FileChooserParams.MODE_OPEN_MULTIPLE) {
intent.putExtra(Intent.EXTRA_ALLOW_MULTIPLE, true)
}
if (fileChooserParams.acceptTypes.size > 1 || intent.type!!.startsWith(".")) {
val validTypes = getValidTypes(fileChooserParams.acceptTypes)
intent.putExtra(Intent.EXTRA_MIME_TYPES, validTypes)
if (intent.type!!.startsWith(".")) {
intent.type = validTypes[0]
}
}
try {
activityListener = object : ActivityResultListener {
override fun onActivityResult(result: ActivityResult?) {
val res: Array<Uri?>?
val resultIntent = result?.data
if (result?.resultCode == Activity.RESULT_OK && resultIntent!!.clipData != null) {
val numFiles = resultIntent.clipData!!.itemCount
res = arrayOfNulls(numFiles)
for (i in 0 until numFiles) {
res[i] = resultIntent.clipData!!.getItemAt(i).uri
}
} else {
res = FileChooserParams.parseResult(
result?.resultCode ?: 0,
resultIntent
)
}
filePathCallback.onReceiveValue(res)
}
}
activityLauncher.launch(intent)
} catch (e: ActivityNotFoundException) {
filePathCallback.onReceiveValue(null)
}
}
private fun getValidTypes(currentTypes: Array<String>): Array<String> {
val validTypes: MutableList<String> = ArrayList()
val mtm = MimeTypeMap.getSingleton()
for (mime in currentTypes) {
if (mime.startsWith(".")) {
val extension = mime.substring(1)
val extensionMime = mtm.getMimeTypeFromExtension(extension)
if (extensionMime != null && !validTypes.contains(extensionMime)) {
validTypes.add(extensionMime)
}
} else if (!validTypes.contains(mime)) {
validTypes.add(mime)
}
}
val validObj: Array<Any> = validTypes.toTypedArray()
return Arrays.copyOf(
validObj, validObj.size,
Array<String>::class.java
)
}
override fun onConsoleMessage(consoleMessage: ConsoleMessage): Boolean {
val tag: String = Logger.tags("Console")
if (consoleMessage.message() != null && isValidMsg(consoleMessage.message())) {
val msg = String.format(
"File: %s - Line %d - Msg: %s",
consoleMessage.sourceId(),
consoleMessage.lineNumber(),
consoleMessage.message()
)
val level = consoleMessage.messageLevel().name
if ("ERROR".equals(level, ignoreCase = true)) {
Logger.error(tag, msg, null)
} else if ("WARNING".equals(level, ignoreCase = true)) {
Logger.warn(tag, msg)
} else if ("TIP".equals(level, ignoreCase = true)) {
Logger.debug(tag, msg)
} else {
Logger.info(tag, msg)
}
}
return true
}
private fun isValidMsg(msg: String): Boolean {
return !(msg.contains("%cresult %c") ||
msg.contains("%cnative %c") ||
msg.equals("[object Object]", ignoreCase = true) ||
msg.equals("console.groupEnd", ignoreCase = true))
}
@Throws(IOException::class)
private fun createImageFileUri(): Uri {
val photoFile = createImageFile(activity)
return FileProvider.getUriForFile(
activity,
activity.packageName.toString() + ".fileprovider",
photoFile
)
}
@Throws(IOException::class)
private fun createImageFile(activity: Activity): File {
// Create an image file name
val timeStamp = SimpleDateFormat("yyyyMMdd_HHmmss").format(Date())
val imageFileName = "JPEG_" + timeStamp + "_"
val storageDir = activity.getExternalFilesDir(Environment.DIRECTORY_PICTURES)
return File.createTempFile(imageFileName, ".jpg", storageDir)
}
override fun onReceivedTitle(
view: WebView,
title: String
) {
handleReceivedTitle(view, title)
}
private external fun handleReceivedTitle(webview: WebView, title: String)
}

101
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/RustWebView.kt
View File

@@ -1,101 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
@file:Suppress("unused", "SetJavaScriptEnabled")
package com.lenn.tauri_serial
import android.annotation.SuppressLint
import android.webkit.*
import android.content.Context
import androidx.webkit.WebViewCompat
import androidx.webkit.WebViewFeature
import kotlin.collections.Map
@SuppressLint("RestrictedApi")
class RustWebView(context: Context, val initScripts: Array<String>, val id: String): WebView(context) {
val isDocumentStartScriptEnabled: Boolean
init {
settings.javaScriptEnabled = true
settings.domStorageEnabled = true
settings.setGeolocationEnabled(true)
settings.databaseEnabled = true
settings.mediaPlaybackRequiresUserGesture = false
settings.javaScriptCanOpenWindowsAutomatically = true
if (WebViewFeature.isFeatureSupported(WebViewFeature.DOCUMENT_START_SCRIPT)) {
isDocumentStartScriptEnabled = true
for (script in initScripts) {
WebViewCompat.addDocumentStartJavaScript(this, script, setOf("*"));
}
} else {
isDocumentStartScriptEnabled = false
}
}
fun loadUrlMainThread(url: String) {
post {
loadUrl(url)
}
}
fun loadUrlMainThread(url: String, additionalHttpHeaders: Map<String, String>) {
post {
loadUrl(url, additionalHttpHeaders)
}
}
override fun loadUrl(url: String) {
if (!shouldOverride(url)) {
super.loadUrl(url);
}
}
override fun loadUrl(url: String, additionalHttpHeaders: Map<String, String>) {
if (!shouldOverride(url)) {
super.loadUrl(url, additionalHttpHeaders);
}
}
fun loadHTMLMainThread(html: String) {
post {
super.loadData(html, "text/html", null)
}
}
fun evalScript(id: Int, script: String) {
post {
super.evaluateJavascript(script) { result ->
onEval(id, result)
}
}
}
fun clearAllBrowsingData() {
try {
super.getContext().deleteDatabase("webviewCache.db")
super.getContext().deleteDatabase("webview.db")
super.clearCache(true)
super.clearHistory()
super.clearFormData()
} catch (ex: Exception) {
Logger.error("Unable to create temporary media capture file: " + ex.message)
}
}
fun getCookies(url: String): String {
val cookieManager = CookieManager.getInstance()
return cookieManager.getCookie(url)
}
private external fun shouldOverride(url: String): Boolean
private external fun onEval(id: Int, result: String)
}

107
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/RustWebViewClient.kt
View File

@@ -1,107 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
package com.lenn.tauri_serial
import android.net.Uri
import android.webkit.*
import android.content.Context
import android.graphics.Bitmap
import android.os.Handler
import android.os.Looper
import androidx.webkit.WebViewAssetLoader
class RustWebViewClient(context: Context): WebViewClient() {
private val interceptedState = mutableMapOf<String, Boolean>()
var currentUrl: String = "about:blank"
private var lastInterceptedUrl: Uri? = null
private var pendingUrlRedirect: String? = null
private val assetLoader = WebViewAssetLoader.Builder()
.setDomain(assetLoaderDomain())
.addPathHandler("/", WebViewAssetLoader.AssetsPathHandler(context))
.build()
override fun shouldInterceptRequest(
view: WebView,
request: WebResourceRequest
): WebResourceResponse? {
pendingUrlRedirect?.let {
Handler(Looper.getMainLooper()).post {
view.loadUrl(it)
}
pendingUrlRedirect = null
return null
}
lastInterceptedUrl = request.url
return if (withAssetLoader()) {
assetLoader.shouldInterceptRequest(request.url)
} else {
val rustWebview = view as RustWebView;
val response = handleRequest(rustWebview.id, request, rustWebview.isDocumentStartScriptEnabled)
interceptedState[request.url.toString()] = response != null
return response
}
}
override fun shouldOverrideUrlLoading(
view: WebView,
request: WebResourceRequest
): Boolean {
return shouldOverride(request.url.toString())
}
override fun onPageStarted(view: WebView, url: String, favicon: Bitmap?) {
currentUrl = url
if (interceptedState[url] == false) {
val webView = view as RustWebView
for (script in webView.initScripts) {
view.evaluateJavascript(script, null)
}
}
return onPageLoading(url)
}
override fun onPageFinished(view: WebView, url: String) {
onPageLoaded(url)
}
override fun onReceivedError(
view: WebView,
request: WebResourceRequest,
error: WebResourceError
) {
// we get a net::ERR_CONNECTION_REFUSED when an external URL redirects to a custom protocol
// e.g. oauth flow, because shouldInterceptRequest is not called on redirects
// so we must force retry here with loadUrl() to get a chance of the custom protocol to kick in
if (error.errorCode == ERROR_CONNECT && request.isForMainFrame && request.url != lastInterceptedUrl) {
// prevent the default error page from showing
view.stopLoading()
// without this initial loadUrl the app is stuck
view.loadUrl(request.url.toString())
// ensure the URL is actually loaded - for some reason there's a race condition and we need to call loadUrl() again later
pendingUrlRedirect = request.url.toString()
} else {
super.onReceivedError(view, request, error)
}
}
companion object {
init {
System.loadLibrary("tauri_demo_lib")
}
}
private external fun assetLoaderDomain(): String
private external fun withAssetLoader(): Boolean
private external fun handleRequest(webviewId: String, request: WebResourceRequest, isDocumentStartScriptEnabled: Boolean): WebResourceResponse?
private external fun shouldOverride(url: String): Boolean
private external fun onPageLoading(url: String)
private external fun onPageLoaded(url: String)
}

51
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/TauriActivity.kt
View File

@@ -1,51 +0,0 @@
// Copyright 2019-2024 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
package com.lenn.tauri_serial
import android.content.Intent
import android.content.res.Configuration
import app.tauri.plugin.PluginManager
abstract class TauriActivity : WryActivity() {
var pluginManager: PluginManager = PluginManager(this)
override val handleBackNavigation: Boolean = false
override fun onNewIntent(intent: Intent) {
super.onNewIntent(intent)
pluginManager.onNewIntent(intent)
}
override fun onResume() {
super.onResume()
pluginManager.onResume()
}
override fun onPause() {
super.onPause()
pluginManager.onPause()
}
override fun onRestart() {
super.onRestart()
pluginManager.onRestart()
}
override fun onStop() {
super.onStop()
pluginManager.onStop()
}
override fun onDestroy() {
super.onDestroy()
pluginManager.onDestroy()
}
override fun onConfigurationChanged(newConfig: Configuration) {
super.onConfigurationChanged(newConfig)
pluginManager.onConfigurationChanged(newConfig)
}
}

146
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/WryActivity.kt
View File

@@ -1,146 +0,0 @@
/* THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!! */
// Copyright 2020-2023 Tauri Programme within The Commons Conservancy
// SPDX-License-Identifier: Apache-2.0
// SPDX-License-Identifier: MIT
package com.lenn.tauri_serial
import com.lenn.tauri_serial.RustWebView
import android.annotation.SuppressLint
import android.os.Build
import android.os.Bundle
import android.webkit.WebView
import android.view.KeyEvent
import androidx.activity.OnBackPressedCallback
import androidx.appcompat.app.AppCompatActivity
abstract class WryActivity : AppCompatActivity() {
private lateinit var mWebView: RustWebView
open val handleBackNavigation: Boolean = true
open fun onWebViewCreate(webView: WebView) { }
fun setWebView(webView: RustWebView) {
mWebView = webView
if (handleBackNavigation) {
val callback = object : OnBackPressedCallback(true) {
override fun handleOnBackPressed() {
if (this@WryActivity.mWebView.canGoBack()) {
this@WryActivity.mWebView.goBack()
} else {
this.isEnabled = false
this@WryActivity.onBackPressed()
this.isEnabled = true
}
}
}
onBackPressedDispatcher.addCallback(this, callback)
}
onWebViewCreate(webView)
}
val version: String
@SuppressLint("WebViewApiAvailability", "ObsoleteSdkInt")
get() {
// Check getCurrentWebViewPackage() directly if above Android 8
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
return WebView.getCurrentWebViewPackage()?.versionName ?: ""
}
// Otherwise manually check WebView versions
var webViewPackage = "com.google.android.webview"
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.N) {
webViewPackage = "com.android.chrome"
}
try {
@Suppress("DEPRECATION")
val info = packageManager.getPackageInfo(webViewPackage, 0)
return info.versionName.toString()
} catch (ex: Exception) {
Logger.warn("Unable to get package info for '$webViewPackage'$ex")
}
try {
@Suppress("DEPRECATION")
val info = packageManager.getPackageInfo("com.android.webview", 0)
return info.versionName.toString()
} catch (ex: Exception) {
Logger.warn("Unable to get package info for 'com.android.webview'$ex")
}
// Could not detect any webview, return empty string
return ""
}
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
create(this)
}
override fun onStart() {
super.onStart()
start()
}
override fun onResume() {
super.onResume()
resume()
}
override fun onPause() {
super.onPause()
pause()
}
override fun onStop() {
super.onStop()
stop()
}
override fun onWindowFocusChanged(hasFocus: Boolean) {
super.onWindowFocusChanged(hasFocus)
focus(hasFocus)
}
override fun onSaveInstanceState(outState: Bundle) {
super.onSaveInstanceState(outState)
save()
}
override fun onDestroy() {
super.onDestroy()
destroy()
onActivityDestroy()
}
override fun onLowMemory() {
super.onLowMemory()
memory()
}
fun getAppClass(name: String): Class<*> {
return Class.forName(name)
}
companion object {
init {
System.loadLibrary("tauri_demo_lib")
}
}
private external fun create(activity: WryActivity)
private external fun start()
private external fun resume()
private external fun pause()
private external fun stop()
private external fun save()
private external fun destroy()
private external fun onActivityDestroy()
private external fun memory()
private external fun focus(focus: Boolean)
}

35
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/generated/proguard-wry.pro
View File

@@ -1,35 +0,0 @@
# THIS FILE IS AUTO-GENERATED. DO NOT MODIFY!!
# Copyright 2020-2023 Tauri Programme within The Commons Conservancy
# SPDX-License-Identifier: Apache-2.0
# SPDX-License-Identifier: MIT
-keep class com.lenn.tauri_serial.* {
native <methods>;
}
-keep class com.lenn.tauri_serial.WryActivity {
public <init>(...);
void setWebView(com.lenn.tauri_serial.RustWebView);
java.lang.Class getAppClass(...);
java.lang.String getVersion();
}
-keep class com.lenn.tauri_serial.Ipc {
public <init>(...);
@android.webkit.JavascriptInterface public <methods>;
}
-keep class com.lenn.tauri_serial.RustWebView {
public <init>(...);
void loadUrlMainThread(...);
void loadHTMLMainThread(...);
void evalScript(...);
}
-keep class com.lenn.tauri_serial.RustWebChromeClient,com.lenn.tauri_serial.RustWebViewClient {
public <init>(...);
}

1
src-tauri/gen/android/app/src/main/jniLibs/arm64-v8a/libtauri_demo_lib.so
View File

@@ -1 +0,0 @@
/home/lenn/Workspace/JE-Skin/src-tauri/target/aarch64-linux-android/release/libtauri_demo_lib.so

1
src-tauri/gen/android/app/src/main/jniLibs/armeabi-v7a/libtauri_demo_lib.so
View File

@@ -1 +0,0 @@
/home/lenn/Workspace/JE-Skin/src-tauri/target/armv7-linux-androideabi/release/libtauri_demo_lib.so

1
src-tauri/gen/android/app/src/main/jniLibs/x86/libtauri_demo_lib.so
View File

@@ -1 +0,0 @@
/home/lenn/Workspace/JE-Skin/src-tauri/target/i686-linux-android/release/libtauri_demo_lib.so

1
src-tauri/gen/android/app/src/main/jniLibs/x86_64/libtauri_demo_lib.so
View File

@@ -1 +0,0 @@
/home/lenn/Workspace/JE-Skin/src-tauri/target/x86_64-linux-android/release/libtauri_demo_lib.so

6
src-tauri/gen/android/app/tauri.build.gradle.kts
View File

@@ -1,6 +0,0 @@
// THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
val implementation by configurations
dependencies {
implementation(project(":tauri-android"))
implementation(project(":tauri-plugin-opener"))
}

3
src-tauri/gen/android/app/tauri.properties
View File

@@ -1,3 +0,0 @@
// THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
tauri.android.versionName=0.4.0
tauri.android.versionCode=4000

5
src-tauri/gen/android/tauri.settings.gradle
View File

@@ -1,5 +0,0 @@
// THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
include ':tauri-android'
project(':tauri-android').projectDir = new File("/home/lenn/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/tauri-2.10.3/mobile/android")
include ':tauri-plugin-opener'
project(':tauri-plugin-opener').projectDir = new File("/home/lenn/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/tauri-plugin-opener-2.5.3/android")

1021
src-tauri/nsis/installer.nsi Normal file
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File diff suppressed because it is too large Load Diff

217
src-tauri/resources/model_params.json Normal file
View File

@@ -0,0 +1,217 @@
{
"scaler_mean": [
1748.7541486595198,
1292.5704664084863,
669.8700117864961,
1617.8798712839798,
2104.589811228976,
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0.7214172326166498,
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0.9089476753706724,
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3.472192991899253,
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0.5067195499928454,
0.755407246398865,
0.03711810817384146,
11.154421806888552,
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],
"scaler_scale": [
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1393.522474091575,
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0.13523106483202163,
0.23880331588910964,
0.24830003478347082,
0.1464527498295455,
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0.2326879002599809,
0.23502163992653513,
0.13026800431597335,
0.15563022147466685,
1.0,
0.09922737602626737,
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0.15401181704844932,
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],
"ridge_coef": [
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-8.75036029102127,
12.785901861589027,
-3.7296377182327123,
6.546167384121816,
-4.984129287282208,
8.311396481777527,
-0.6248790895663127,
2.69008779623183,
12.996047839696784,
-2.2609944767610504,
-5.131537716982507,
0.3988922195665723,
-5.197736884253156,
4.556854888903703,
-0.8642438099006351,
6.327731485629085,
-5.157281763422745,
0.10691827520622764,
4.656962972053113,
3.2628870750114887,
4.033159141354671,
0.0,
-2.9206404009765268,
1.8683691849941264,
2.408006875407745,
7.250310827671452,
-3.97015207422554,
0.7316093212194048,
-3.459346094204882,
2.4407660203169255,
-2.872982666400644,
1.8797071977799857,
-1.3374700235689694,
-7.9533345474852295,
6.038063637368508,
1.615806581558555,
95785.62883805836,
0.12233606167692031,
-0.1515900264871255,
2.2023033069961873,
8.776787743985668,
-0.16714060634667535,
-2.751671223554021,
0.2511944267079865,
6.13561607395193,
2.85703108671782,
-0.11255626089468472,
-0.9017242341101542,
-0.627291200283328,
3.4664885582435883,
0.02591345630626686,
0.5530407299425606
],
"ridge_intercept": 175620.9253147744,
"n_features": 68,
"noise_threshold": 15.0,
"contact_threshold": 20.0,
"ema_alpha": 0.9
}

397
src-tauri/src/serial_core/basin_force_estimator.rs Normal file
View File

@@ -0,0 +1,397 @@
//! 7×12 柔性压力点阵力估计 - Rust 实现
//!
//! 与 Python `basin_feature_extractor.py` 完全对齐。
//! 内嵌 `model_params.json`，对每帧 7×12 传感器数据提取 68 维特征并用
//! StandardScaler + Ridge 回归估计法向力 Fz。
use serde::Deserialize;
// ───────────────── 常量 ─────────────────
const ROWS: usize = 7;
const COLS: usize = 12;
const ROI_RADIUS: usize = 2;
const ROI_SIZE: usize = 2 * ROI_RADIUS + 1; // 5
const N_FEATURES: usize = 68; // 25 + 25 + 18
// ───────────────── 模型参数 JSON（编译时嵌入）─────────────────
const MODEL_PARAMS_JSON: &str = include_str!("../../resources/model_params.json");
// ───────────────── 模型参数反序列化 ─────────────────
#[derive(Debug, Deserialize)]
struct ModelParams {
scaler_mean: Vec<f64>,
scaler_scale: Vec<f64>,
ridge_coef: Vec<f64>,
ridge_intercept: f64,
n_features: usize,
noise_threshold: f64,
contact_threshold: f64,
ema_alpha: f64,
}
// ───────────────── 估算器 ─────────────────
pub struct BasinForceEstimator {
// 模型参数
scaler_mean: [f64; N_FEATURES],
scaler_scale: [f64; N_FEATURES],
ridge_coef: [f64; N_FEATURES],
ridge_intercept: f64,
// 超参数
noise_threshold: f64,
contact_threshold: f64,
ema_alpha: f64,
// 时序状态（需要可变）
prev_roi_sum: f64,
ema_sum: f64,
first_frame: bool,
}
impl BasinForceEstimator {
/// 使用编译时内嵌的 model_params.json 创建估算器
pub fn new() -> Self {
Self::from_json_str(MODEL_PARAMS_JSON)
.expect("内嵌 model_params.json 加载失败")
}
pub fn from_json_str(json: &str) -> Result<Self, Box<dyn std::error::Error>> {
let p: ModelParams = serde_json::from_str(json)?;
if p.n_features != N_FEATURES {
return Err(format!(
"模型特征维度不匹配: 期望 {}, 实际 {}",
N_FEATURES, p.n_features
)
.into());
}
let mut scaler_mean = [0.0; N_FEATURES];
let mut scaler_scale = [0.0; N_FEATURES];
let mut ridge_coef = [0.0; N_FEATURES];
scaler_mean.copy_from_slice(&p.scaler_mean);
scaler_scale.copy_from_slice(&p.scaler_scale);
ridge_coef.copy_from_slice(&p.ridge_coef);
Ok(Self {
scaler_mean,
scaler_scale,
ridge_coef,
ridge_intercept: p.ridge_intercept,
noise_threshold: p.noise_threshold,
contact_threshold: p.contact_threshold,
ema_alpha: p.ema_alpha,
prev_roi_sum: 0.0,
ema_sum: 0.0,
first_frame: true,
})
}
pub fn reset(&mut self) {
self.prev_roi_sum = 0.0;
self.ema_sum = 0.0;
self.first_frame = true;
}
pub fn predict_frame(&mut self, frame: &[f64; 84]) -> f64 {
let features = self.extract_features(frame);
self.ridge_predict(&features)
}
// ───────────── 特征提取 ─────────────
fn extract_features(&mut self, raw: &[f64; 84]) -> [f64; N_FEATURES] {
let mut x = [[0.0f64; COLS]; ROWS];
let mut max_value = 0.0f64;
for r in 0..ROWS {
for c in 0..COLS {
let v = raw[r * COLS + c].max(0.0);
x[r][c] = v;
if v > max_value {
max_value = v;
}
}
}
if max_value < self.contact_threshold {
self.update_temporal(0.0);
return [0.0; N_FEATURES];
}
let mut peak_row = 0usize;
let mut peak_col = 0usize;
for r in 0..ROWS {
for c in 0..COLS {
if x[r][c] >= x[peak_row][peak_col] {
peak_row = r;
peak_col = c;
}
}
}
let roi = self.extract_roi(&x, peak_row, peak_col);
self.compute_features(&x, &roi, max_value, peak_row, peak_col)
}
fn extract_roi(
&self,
x: &[[f64; COLS]; ROWS],
pr: usize,
pc: usize,
) -> [[f64; ROI_SIZE]; ROI_SIZE] {
let r = ROI_RADIUS as isize;
let mut roi = [[0.0f64; ROI_SIZE]; ROI_SIZE];
let r_start = (pr as isize - r).max(0) as usize;
let r_end = (pr + ROI_RADIUS + 1).min(ROWS);
let c_start = (pc as isize - r).max(0) as usize;
let c_end = (pc + ROI_RADIUS + 1).min(COLS);
let roi_r_start = (r_start as isize - (pr as isize - r)).max(0) as usize;
let roi_c_start = (c_start as isize - (pc as isize - r)).max(0) as usize;
for (i, ri) in (r_start..r_end).enumerate() {
for (j, ci) in (c_start..c_end).enumerate() {
roi[roi_r_start + i][roi_c_start + j] = x[ri][ci];
}
}
roi
}
fn compute_features(
&mut self,
x: &[[f64; COLS]; ROWS],
roi: &[[f64; ROI_SIZE]; ROI_SIZE],
max_value: f64,
peak_row: usize,
peak_col: usize,
) -> [f64; N_FEATURES] {
let center = ROI_RADIUS;
let mut feat = [0.0f64; N_FEATURES];
let mut idx = 0;
// ROI 原始值 (25维)
for r in 0..ROI_SIZE {
for c in 0..ROI_SIZE {
feat[idx] = roi[r][c];
idx += 1;
}
}
// ROI 归一化形状 (25维)
for r in 0..ROI_SIZE {
for c in 0..ROI_SIZE {
feat[idx] = if max_value > 0.0 {
roi[r][c] / max_value
} else {
0.0
};
idx += 1;
}
}
// roi_sum, global_sum
let mut roi_sum = 0.0f64;
for r in 0..ROI_SIZE {
for c in 0..ROI_SIZE {
roi_sum += roi[r][c];
}
}
let mut global_sum = 0.0f64;
for r in 0..ROWS {
for c in 0..COLS {
global_sum += x[r][c];
}
}
// active_area
let thr = self.noise_threshold.max(0.05 * max_value);
let mut active_area = 0.0f64;
for r in 0..ROI_SIZE {
for c in 0..ROI_SIZE {
if roi[r][c] > thr {
active_area += 1.0;
}
}
}
let participation = if max_value > 0.0 {
roi_sum / max_value
} else {
0.0
};
let concentration = if roi_sum > 0.0 {
max_value / roi_sum
} else {
0.0
};
// ring1_sum (上下左右4点)
let ring1_positions = [
(center - 1, center),
(center + 1, center),
(center, center - 1),
(center, center + 1),
];
let ring1_sum: f64 = ring1_positions.iter().map(|&(r, c)| roi[r][c]).sum();
// ring2_sum (除中心和ring1外)
let mut ring2_sum = 0.0f64;
for r in 0..ROI_SIZE {
for c in 0..ROI_SIZE {
if (r, c) == (center, center) {
continue;
}
if ring1_positions.contains(&(r, c)) {
continue;
}
ring2_sum += roi[r][c];
}
}
let ring1_ratio = if max_value > 0.0 {
ring1_sum / max_value
} else {
0.0
};
let ring2_ratio = if max_value > 0.0 {
ring2_sum / max_value
} else {
0.0
};
// spread
let spread = if roi_sum > 0.0 {
let mut s = 0.0f64;
for r in 0..ROI_SIZE {
for c in 0..ROI_SIZE {
let dr = r as f64 - center as f64;
let dc = c as f64 - center as f64;
s += (dr * dr + dc * dc) * roi[r][c];
}
}
s / roi_sum
} else {
0.0
};
// asym_x
let mut left_sum = 0.0f64;
let mut right_sum = 0.0f64;
for r in 0..ROI_SIZE {
for c in 0..center {
left_sum += roi[r][c];
}
for c in (center + 1)..ROI_SIZE {
right_sum += roi[r][c];
}
}
let asym_x = if roi_sum > 0.0 {
(right_sum - left_sum) / roi_sum
} else {
0.0
};
// asym_y
let mut up_sum = 0.0f64;
let mut down_sum = 0.0f64;
for r in 0..center {
for c in 0..ROI_SIZE {
up_sum += roi[r][c];
}
}
for r in (center + 1)..ROI_SIZE {
for c in 0..ROI_SIZE {
down_sum += roi[r][c];
}
}
let asym_y = if roi_sum > 0.0 {
(down_sum - up_sum) / roi_sum
} else {
0.0
};
// 位置
let peak_row_norm = peak_row as f64 / (ROWS - 1) as f64;
let peak_col_norm = peak_col as f64 / (COLS - 1) as f64;
// near_edge
let r = ROI_RADIUS as isize;
let near_edge = if (peak_row as isize) < r
|| peak_row >= ROWS - ROI_RADIUS
|| (peak_col as isize) < r
|| peak_col >= COLS - ROI_RADIUS
{
1.0
} else {
0.0
};
// 时序特征
let delta_sum = roi_sum - self.prev_roi_sum;
if self.first_frame {
self.ema_sum = roi_sum;
self.first_frame = false;
} else {
self.ema_sum = self.ema_alpha * self.ema_sum + (1.0 - self.ema_alpha) * roi_sum;
}
self.prev_roi_sum = roi_sum;
let scalars = [
max_value,
roi_sum,
global_sum,
active_area,
participation,
concentration,
ring1_sum,
ring2_sum,
ring1_ratio,
ring2_ratio,
spread,
asym_x,
asym_y,
peak_row_norm,
peak_col_norm,
near_edge,
delta_sum,
self.ema_sum,
];
for &v in &scalars {
feat[idx] = v;
idx += 1;
}
debug_assert_eq!(idx, N_FEATURES);
feat
}
fn update_temporal(&mut self, roi_sum: f64) {
self.prev_roi_sum = roi_sum;
if self.first_frame {
self.ema_sum = roi_sum;
self.first_frame = false;
} else {
self.ema_sum = self.ema_alpha * self.ema_sum + (1.0 - self.ema_alpha) * roi_sum;
}
}
// ───────────── 推理 ─────────────
fn ridge_predict(&self, features: &[f64; N_FEATURES]) -> f64 {
let mut scaled = [0.0f64; N_FEATURES];
for i in 0..N_FEATURES {
let s = self.scaler_scale[i];
scaled[i] = if s.abs() > 1e-12 {
(features[i] - self.scaler_mean[i]) / s
} else {
0.0
};
}
let mut y = self.ridge_intercept;
for i in 0..N_FEATURES {
y += self.ridge_coef[i] * scaled[i];
}
y
}
}

3
src-tauri/src/serial_core/codecs/tactile_a.rs
View File

@@ -12,7 +12,7 @@ use async_trait::async_trait;
use csv::StringRecord;
use anyhow::anyhow;
use std::io::Read;
use log::debug;
use log::{debug, info};
const FRAME_BUFFER_MIN_LENGTH: usize = 15;
@@ -226,6 +226,7 @@ impl Codec<TactileAFrame> for TactileACodec {
req_bytes.extend_from_slice((f.meta.except_data_len as u16).to_le_bytes().as_slice());
let checksum = calc_crc8_itu(req_bytes.as_slice());
req_bytes.push(checksum);
info!("send: {:02X?}", req_bytes);
Ok(req_bytes)
}
_ => {

1
src-tauri/src/serial_core/mod.rs
View File

@@ -13,6 +13,7 @@ pub mod record;
pub mod utils;
#[cfg(feature = "multi-dim")]
pub mod multi_dim_force;
pub mod basin_force_estimator;
pub type TestRecording = Recording<TestFrame>;
pub type TactileARecording = Recording<TactileAFrame>;

12
src-tauri/src/serial_core/serial.rs
View File

@@ -1,3 +1,4 @@
use crate::serial_core::basin_force_estimator::BasinForceEstimator;
use crate::serial_core::codec::Codec;
use crate::serial_core::codecs::tactile_a::TactileACodec;
use crate::serial_core::frame::{FrameHandler, TactileAFrame, TestFrame};
@@ -233,6 +234,7 @@ where
let mut prune_interval = time::interval(Duration::from_millis(450));
#[cfg(feature = "multi-dim")]
let mut pzt_processor = PztProcessor::new();
let mut force_estimator = BasinForceEstimator::new();
let mut pending_sub_frame: Option<PendingSubFrame<F>> = None;
prune_interval.set_missed_tick_behavior(MissedTickBehavior::Delay);
@@ -309,6 +311,16 @@ where
drop(record);
if let Some(vals) = decode_res {
// Basin force estimation (pre-force)
if vals.len() == 84 {
let mut frame_f64 = [0.0f64; 84];
for (i, v) in vals.iter().enumerate() {
frame_f64[i] = *v as f64;
}
let pre_force = force_estimator.predict_frame(&frame_f64);
debug!("pre-force: {:.2}", pre_force);
}
#[cfg(feature = "multi-dim")]
{
let pzt_values = vals.iter().map(|value| *value as f32).collect::<Vec<f32>>();

2
src-tauri/tauri.conf.json
View File

@@ -23,7 +23,7 @@
}
},
"bundle": {
"createUpdaterArtifacts": true,
"createUpdaterArtifacts": false,
"active": true,
"targets": "all",
"icon": [

747
src/indicator/indicator498.py Normal file
View File

@@ -0,0 +1,747 @@
from typing import Dict, List, Tuple
import numpy as np
from indicator.base import Indicator
import math
class EMA:
"""指数移动平均"""
@staticmethod
def calc(data: np.ndarray, period: int) -> np.ndarray:
alpha = 2.0 / (period + 1)
out = np.empty_like(data)
out[0] = data[0]
for i in range(1, len(data)):
out[i] = alpha * data[i] + (1 - alpha) * out[i - 1]
return out
class SMA:
"""简单移动平均"""
@staticmethod
def calc(data: np.ndarray, period: int) -> np.ndarray:
out = np.full_like(data, np.nan)
if len(data) < period:
return out
cumsum = np.cumsum(data)
out[period - 1:] = (cumsum[period - 1:] - np.concatenate([[0], cumsum[:-period]])) / period
return out
def true_range(high: np.ndarray, low: np.ndarray, close: np.ndarray) -> np.ndarray:
"""True Range"""
tr = np.empty(len(high))
tr[0] = high[0] - low[0]
for i in range(1, len(high)):
tr[i] = max(high[i] - low[i], abs(high[i] - close[i - 1]), abs(low[i] - close[i - 1]))
return tr
class SignalTracker:
"""逐帧更新的信号追踪器（无回看依赖，纯实时）"""
def __init__(
self,
ob_threshold: float = 80,
os_threshold: float = 20,
dist_extreme: float = 5,
dist_far: float = 15,
dist_mid: float = 30,
macd_th: float = 0.3,
rsi_ob: float = 70,
rsi_os: float = 30,
di_gap_bull: float = 15,
di_gap_bear: float = -15,
aroon_ob: float = 80,
aroon_os: float = 20,
williams_ob: float = -20,
williams_os: float = -80,
bias_ob: float = 5,
bias_os: float = -5,
):
self.ob_threshold = ob_threshold
self.os_threshold = os_threshold
self.dist_extreme = dist_extreme
self.dist_far = dist_far
self.dist_mid = dist_mid
self.macd_th = macd_th
self.rsi_ob = rsi_ob
self.rsi_os = rsi_os
self.di_gap_bull = di_gap_bull
self.di_gap_bear = di_gap_bear
self.aroon_ob = aroon_ob
self.aroon_os = aroon_os
self.williams_ob = williams_ob
self.williams_os = williams_os
self.bias_ob = bias_ob
self.bias_os = bias_os
# 状态缓存
self._intp_buy_sma: float = 0.0
self._intp_sell_sma: float = 0.0
self._intp_sma_count: int = 0
self._max_qtb_score: float = 0.0
self._bull_count: int = 0
self._bear_count: int = 0
self._last_bull_idx: int = -100
self._last_bear_idx: int = -100
self._frame_idx: int = 0
# 历史缓冲区（保留最近200帧用于EMA/SMA/DI计算）
self._buf_size: int = 200
self._bbi_buf: List[float] = []
self._amplitude_buf: List[float] = []
self._close_buf: List[float] = []
self._high_buf: List[float] = []
self._low_buf: List[float] = []
self._wr_buf: List[float] = []
def reset(self):
"""重置所有状态"""
self._intp_buy_sma = 0.0
self._intp_sell_sma = 0.0
self._intp_sma_count = 0
self._max_qtb_score = 0.0
self._bull_count = 0
self._bear_count = 0
self._last_bull_idx = -100
self._last_bear_idx = -100
self._frame_idx = 0
self._bbi_buf.clear()
self._amplitude_buf.clear()
self._close_buf.clear()
self._high_buf.clear()
self._low_buf.clear()
self._wr_buf.clear()
def _append_buf(self, buf: List[float], val: float):
buf.append(val)
if len(buf) > self._buf_size:
buf.pop(0)
def _ema_val(self, buf: List[float], period: int) -> float:
"""返回缓冲区中最后一个EMA值"""
if len(buf) < period:
return buf[-1] if buf else 0.0
arr = np.array(buf, dtype=float)
ema = EMA.calc(arr, period)
return float(ema[-1])
def _sma_val(self, buf: List[float], period: int) -> float:
if len(buf) < period:
return np.nan
arr = np.array(buf, dtype=float)
sma = SMA.calc(arr, period)
return float(sma[-1])
def get_signals(
self,
amplitude: float,
bbi: float,
cci: float,
close: float,
dmk: float,
high: float,
k: float,
low: float,
qtb_score: float,
result: float,
wr: float,
percent: float,
v0: float,
boll_upper: float,
boll_lower: float,
macd_val: float,
pmacd: float,
bias: float,
) -> Tuple[str, str, str, str]:
"""
逐帧更新，返回 (market_status, signal_type, intensity, detail)
不依赖历史数组，所有指标值由外部实时计算后传入。
"""
# ─── 更新缓冲区 ───
self._append_buf(self._bbi_buf, bbi)
self._append_buf(self._amplitude_buf, amplitude)
self._append_buf(self._close_buf, close)
self._append_buf(self._high_buf, high)
self._append_buf(self._low_buf, low)
self._append_buf(self._wr_buf, wr)
# ─── 指标因子计算（使用传入值 + 缓冲区衍生值）───
k_macd = self._k_macd_factor(k, macd_val, pmacd)
k_di = self._k_di_factor(dmk, amplitude, close)
k_aroon = self._k_aroon_factor(high, low, close)
k_williams = self._k_williams_factor(wr)
k_result = self._k_result_factor(result)
k_bias = self._k_bias_factor(bias)
k_trix = self._k_trix_factor(close)
k_ema = self._k_ema_factor(close)
k_amplitude = self._k_amplitude_factor(amplitude)
# ─── 累计 ───
k_bull = k_macd + k_di + k_aroon + k_williams + k_result + k_bias + k_trix + k_ema + k_amplitude
k_bear = k_macd + k_di + k_aroon + k_williams + k_result + k_bias + k_trix + k_ema + k_amplitude
if result > self.ob_threshold and k_bull > 0 and result >= 90:
k_bull *= 1.5
# ─── 指数平滑 ───
if self._intp_sma_count == 0:
self._intp_buy_sma = k_bull
self._intp_sell_sma = k_bear
self._intp_sma_count = 1
else:
self._intp_sma_count += 1
period = max(3, min(5, self._intp_sma_count))
alpha = 2.0 / (period + 1)
self._intp_buy_sma = alpha * k_bull + (1 - alpha) * self._intp_buy_sma
self._intp_sell_sma = alpha * k_bear + (1 - alpha) * self._intp_sell_sma
# ─── 趋势确认与背离检测 ───
is_bull_div, is_bear_div = self._detect_divergence(close, result)
if is_bull_div:
self._intp_buy_sma *= 1.3
k_bull *= 1.3
if is_bear_div:
self._intp_sell_sma *= 1.3
k_bear *= 1.3
is_bull, is_bear = self._detect_trend(close)
if is_bull:
self._intp_buy_sma *= 1.15
k_bull *= 1.15
if is_bear:
self._intp_sell_sma *= 1.15
k_bear *= 1.15
wmacd = self._wmacd()
if wmacd > 0:
k_bull += wmacd * 0.5
elif wmacd < 0:
k_bear += abs(wmacd) * 0.5
if qtb_score > self._max_qtb_score * 0.7:
pass
elif qtb_score < 3 and qtb_score > 1:
k_bull *= 0.85
k_bear *= 0.85
# ─── 信号分类 ───
max_k = max(abs(k_bull), abs(k_bear))
if max_k > 0:
buy_score = ((k_bull + max_k) / (2 * max_k)) * 100
sell_score = ((k_bear + max_k) / (2 * max_k)) * 100
else:
buy_score = sell_score = 50
bull_t = buy_score > 70 and result < 90
bear_t = sell_score > 70 and result > 10
k_cci = cci / 300
boll_mid = self._boll_mid()
is_bull_t = (
bull_t
and k_bull > k_cci
and close < boll_mid
and (
(result > 65 and result < 85 and k_bull > 0 and k_bear > 0 and (k_bear - k_bull < 1.5 or result > 75))
or (result < 35 and result > 15 and k_bear > 0 and k_bull > 0 and (k_bull - k_bear < 1.5 or result < 25))
)
)
is_bear_t = (
bear_t
and k_bear > k_cci
and close > boll_mid
and (
(result > 65 and result < 85 and k_bull > 0 and k_bear > 0 and (k_bear - k_bull < 1.5 or result > 75))
or (result < 35 and result > 15 and k_bear > 0 and k_bull > 0 and (k_bull - k_bear < 1.5 or result < 25))
)
)
if is_bull_t:
self._bull_count += 1
self._bear_count = 0
self._last_bull_idx = self._frame_idx
elif is_bear_t:
self._bear_count += 1
self._bull_count = 0
self._last_bear_idx = self._frame_idx
else:
self._bull_count = max(self._bull_count - 1, 0)
self._bear_count = max(self._bear_count - 1, 0)
# ─── 信号输出 ───
sig_strength = 1.0 + max(0, (self._bull_count - 3) * 0.1) + max(0, (self._bear_count - 3) * 0.1)
strength = (
"极强" if sig_strength >= 1.7
else "强" if sig_strength >= 1.4
else "中" if sig_strength >= 1.1
else "弱"
)
if buy_score >= sell_score:
signal = f"买{strength}"
else:
signal = f"卖{strength}"
# ─── 市场状态 ───
if abs(buy_score - sell_score) < 10:
status = "中性震荡"
elif buy_score > sell_score:
if self._bull_count >= 3:
status = "强势上涨"
elif result > self.ob_threshold:
status = "高位企稳"
else:
status = "温和上涨"
else:
if self._bear_count >= 3:
status = "强势下跌"
elif result < self.os_threshold:
status = "低位企稳"
else:
status = "温和下跌"
# ─── 距离 ───
boll_len = boll_upper - boll_lower
if boll_len > 0:
dist_ratio = (close - boll_lower) / boll_len * 100
else:
dist_ratio = 50
if dist_ratio < 50 - self.dist_extreme:
dist = "极端超卖"
elif dist_ratio < 50 - self.dist_far:
dist = "远离"
elif dist_ratio < 50 - self.dist_mid:
dist = "偏离"
elif dist_ratio < 50 + self.dist_mid:
dist = "接近"
elif dist_ratio < 50 + self.dist_far:
dist = "靠近"
elif dist_ratio < 50 + self.dist_extreme:
dist = "远超"
else:
dist = "极端超买"
# ─── 强度 ───
max_score = max(buy_score, sell_score)
intensity = (
"超强" if max_score >= 90
else "强" if max_score >= 80
else "中" if max_score >= 65
else "弱" if max_score >= 55
else "极弱"
)
# ─── 详情 ───
bias_val = self._ema_bias()
bbp_val = self._boll_pct_b(close, boll_upper, boll_lower)
detail = (
f"前量:{percent:.1f} 数量:{int(amplitude):03d} 百分比:{bbp_val:.1f} "
f"正:{k_bull:.1f} 负:{k_bear:.1f} 连买:{self._bull_count} 连卖:{self._bear_count} "
f"误差:{bias_val:.1f}"
)
self._frame_idx += 1
return status, signal, intensity, detail
# ═══════════════════════════════════════════════════
# 指标因子（全部基于实时数据，无回看窗口）
# ═══════════════════════════════════════════════════
def _k_macd_factor(self, k: float, macd_val: float, pmacd: float) -> float:
is_ob = k > self.ob_threshold
is_os = k < self.os_threshold
k_macd = 0.0
if is_ob or is_os:
if macd_val < 0:
if is_os and k < 30 and pmacd > 0 and pmacd <= 10 and macd_val > 1.5:
k_macd = 3.5
elif is_ob and k > 80 and macd_val > 3 and abs(pmacd) < 5:
k_macd = -3.5
elif pmacd < 0 and macd_val < 0:
if abs(pmacd) > 15 and macd_val >= -0.5:
k_macd = 3.5
elif 5 < abs(pmacd) < 15 and macd_val > 0.7:
k_macd = 3.5
elif pmacd > 0 and macd_val > 0:
if pmacd >= 15 and macd_val < 0.5:
k_macd = -3.5
elif 5 < pmacd < 15 and macd_val < -0.7:
k_macd = -3.5
elif macd_val >= 3:
k_macd = macd_val * 1.5
elif macd_val <= -3:
k_macd = macd_val * 1.5
return k_macd
def _k_di_factor(self, dmk: float, amplitude: float, close: float) -> float:
if len(self._close_buf) < 20:
return 0.0
k_close = np.array(self._close_buf, dtype=float)
period = 14
if len(k_close) < period + 1:
return 0.0
dx_list = []
for i in range(1, min(period + 1, len(k_close))):
diff = k_close[-i] - k_close[-i - 1]
dx_list.append(diff)
if not dx_list:
return 0.0
last_diff = dx_list[0]
adx_val = abs(dmk) * 0.5
k_di = 0.0
if adx_val < 20:
return 0.0
if dmk > 0 and len(dx_list) > 5:
gains = [d for d in dx_list[:5] if d > 0]
if len(gains) >= 3 and last_diff > 0:
k_di = min(adx_val / 5, 6.0)
elif dmk < 0 and len(dx_list) > 5:
losses = [d for d in dx_list[:5] if d < 0]
if len(losses) >= 3 and last_diff < 0:
k_di = -min(adx_val / 5, 6.0)
return k_di
def _k_aroon_factor(self, high: float, low: float, close: float) -> float:
period = 14
if len(self._high_buf) < period:
return 0.0
highs = self._high_buf[-period:]
lows = self._low_buf[-period:]
highest = max(highs)
lowest = min(lows)
rng = highest - lowest
if rng == 0:
return 0.0
k_aroon = 0.0
pct = (close - lowest) / rng * 100
if pct >= self.aroon_ob:
if close >= highest * 0.995:
k_aroon = -2.0
else:
k_aroon = 2.0
elif pct <= self.aroon_os:
if close <= lowest * 1.005:
k_aroon = 2.0
else:
k_aroon = -2.0
else:
k_aroon = (pct - 50) / 50 * 1.2
return k_aroon
def _k_williams_factor(self, wr: float) -> float:
k_wr = 0.0
if wr > self.williams_ob:
if wr > -10:
k_wr = -1.2
else:
k_wr = -0.8
elif wr < self.williams_os:
if wr < -90:
k_wr = 1.2
else:
k_wr = 0.8
return k_wr
def _k_result_factor(self, result: float) -> float:
k_result = 0.0
is_ob = result > self.ob_threshold
is_os = result < self.os_threshold
if is_os and result < 10:
k_result = 1.5
elif is_ob and result > 90:
k_result = -1.5
return k_result
def _k_bias_factor(self, bias: float) -> float:
k_bias = 0.0
if bias < self.bias_os and bias < -3:
k_bias = min(abs(bias) / 5, 2.5)
elif bias > self.bias_ob and bias > 3:
k_bias = -min(abs(bias) / 5, 2.5)
return k_bias
def _k_trix_factor(self, close: float) -> float:
ema3 = self._ema_val(self._close_buf, 3)
ema9 = self._ema_val(self._close_buf, 9)
if ema9 == 0:
return 0.0
trix = (ema3 - ema9) / ema9 * 100
k_trix = 0.0
if trix > 0:
k_trix = min(trix / 2, 3.0)
elif trix < 0:
k_trix = max(trix / 2, -3.0)
return k_trix
def _k_ema_factor(self, close: float) -> float:
ema9 = self._ema_val(self._close_buf, 9)
if ema9 == 0:
return 0.0
bias = (close - ema9) / ema9 * 100
k_ema = 0.0
if bias < -2:
k_ema = min(abs(bias) * 0.3, 2.0)
elif bias > 2:
k_ema = -min(abs(bias) * 0.3, 2.0)
return k_ema
def _k_amplitude_factor(self, amplitude: float) -> float:
if len(self._amplitude_buf) < 10:
return 0.0
buf = self._amplitude_buf[-10:]
mean = sum(buf) / len(buf)
if mean == 0:
return 0.0
ratio = (amplitude - mean) / mean
k_amp = 0.0
if ratio > 0.5:
k_amp = min(ratio * 1.5, 3.0)
elif ratio < -0.3:
k_amp = max(ratio * 1.5, -3.0)
return k_amp
def _detect_divergence(self, close: float, result: float) -> Tuple[bool, bool]:
"""简化背离检测（基于累计计数）"""
is_bull_div = False
is_bear_div = False
if len(self._close_buf) > 30:
c30 = self._close_buf[-30]
if close > c30 * 1.05 and result < 50:
is_bull_div = True
elif close < c30 * 0.95 and result > 50:
is_bear_div = True
return is_bull_div, is_bear_div
def _detect_trend(self, close: float) -> Tuple[bool, bool]:
"""简化趋势确认"""
is_bull = False
is_bear = False
if len(self._close_buf) > 20:
c20 = self._close_buf[-20]
if close > c20 * 1.05:
is_bull = True
elif close < c20 * 0.95:
is_bear = True
return is_bull, is_bear
def _wmacd(self) -> float:
"""简化加权MACD（基于缓冲区）"""
if len(self._close_buf) < 12:
return 0.0
ema12 = self._ema_val(self._close_buf, 12)
ema26 = self._ema_val(self._close_buf, 26)
return ema12 - ema26
def _boll_mid(self) -> float:
if len(self._close_buf) < 20:
return self._close_buf[-1] if self._close_buf else 0.0
return sum(self._close_buf[-20:]) / 20
def _ema_bias(self) -> float:
if not self._close_buf:
return 0.0
ema5 = self._ema_val(self._close_buf, 5)
ema10 = self._ema_val(self._close_buf, 10)
if ema10 == 0:
return 0.0
return (ema5 - ema10) / ema10 * 1000
def _boll_pct_b(self, close: float, upper: float, lower: float) -> float:
boll_len = upper - lower
if boll_len == 0:
return 50.0
return (close - lower) / boll_len * 100
def get_signals(indicator: Indicator) -> Tuple[str, str, str, str]:
"""
基于技术指标生成交易信号（逐帧调用版）
参数：
indicator: Indicator 对象，包含所有实时指标值
返回：
tuple: (market_status, signal_type, intensity, detail)
"""
# ─── 指标提取 ───
bbi = indicator.BBI
amplitude = indicator.AMPLITUDE
cci = indicator.CCI
close = indicator.CLOSE
dmk = indicator.DMK
high = indicator.HIGH
k = indicator.K
low = indicator.LOW
macd_val = indicator.MACD
ob = indicator.OB
os_ = indicator.OS
ovs = indicator.OVS
ovc = indicator.OVC
result = indicator.RESULT
wr = indicator.WR
percent = indicator.PERCENT
v0 = indicator.V0
boll_upper = indicator.BOLL_UP
boll_lower = indicator.BOLL_LO
bias = indicator.BIAS
# ─── 指标阈值 ───
ob_threshold = ob if ob > 0 else 80
os_threshold = os_ if os_ > 0 else 20
dist_extreme = ovc if ovc > 0 else 5
dist_far = ovs if ovs > 0 else 15
dist_mid = 30
macd_th = 0.3
rsi_ob = ovc if ovc > 0 else 70
rsi_os = ovs if ovs > 0 else 30
di_gap_bull = ovc if ovc > 0 else 15
di_gap_bear = -di_gap_bull
aroon_ob = ob_threshold
aroon_os = os_threshold
williams_ob = -20
williams_os = -80
bias_ob = 5
bias_os = -5
# ─── 指标因子 ───
pmacd = getattr(indicator, 'PMACD', macd_val)
k_macd = _k_macd_factor(ob_threshold, os_threshold, k, macd_val, pmacd)
k_di = _k_di_factor(dmk, amplitude, close)
k_aroon = _k_aroon_factor(aroon_ob, aroon_os, high, low, close)
k_williams = _k_williams_factor(williams_ob, williams_os, wr)
k_result = _k_result_factor(ob_threshold, os_threshold, result)
k_bias = _k_bias_factor(bias_ob, bias_os, bias)
# ─── K值累计 ───
k_bull = k_macd + k_di + k_aroon + k_williams + k_result + k_bias
k_bear = k_macd + k_di + k_aroon + k_williams + k_result + k_bias
if result > ob_threshold and k_bull > 0 and result >= 90:
k_bull *= 1.5
# ─── 强度计算 ───
max_k = max(abs(k_bull), abs(k_bear))
if max_k > 0:
buy_score = ((k_bull + max_k) / (2 * max_k)) * 100
sell_score = ((k_bear + max_k) / (2 * max_k)) * 100
else:
buy_score = sell_score = 50
# ─── 信号判断 ───
bull_t = buy_score > 70 and result < 90
bear_t = sell_score > 70 and result > 10
k_cci = cci / 300
boll_mid = indicator.BOLL_MID if hasattr(indicator, 'BOLL_MID') else (boll_upper + boll_lower) / 2
boll_len = boll_upper - boll_lower
is_bull_t = (
bull_t
and k_bull > k_cci
and close < boll_mid
and (
(result > 65 and result < 85 and k_bull > 0 and k_bear > 0 and (k_bear - k_bull < 1.5 or result > 75))
or (result < 35 and result > 15 and k_bear > 0 and k_bull > 0 and (k_bull - k_bear < 1.5 or result < 25))
)
)
is_bear_t = (
bear_t
and k_bear > k_cci
and close > boll_mid
and (
(result > 65 and result < 85 and k_bull > 0 and k_bear > 0 and (k_bear - k_bull < 1.5 or result > 75))
or (result < 35 and result > 15 and k_bear > 0 and k_bull > 0 and (k_bull - k_bear < 1.5 or result < 25))
)
)
# ─── 信号强度 ───
sig_strength = 1.0
if is_bull_t:
sig_strength += 0.3 + max(0, (result - 70) / 30)
elif is_bear_t:
sig_strength += 0.3 + max(0, (30 - result) / 30)
strength = (
"极强" if sig_strength >= 1.7
else "强" if sig_strength >= 1.4
else "中" if sig_strength >= 1.1
else "弱"
)
# ─── 信号类型 ───
if is_bull_t:
signal = f"买{strength}"
elif is_bear_t:
signal = f"卖{strength}"
else:
signal = "观望"
# ─── 市场状态 ───
if abs(buy_score - sell_score) < 10:
status = "中性震荡"
elif buy_score > sell_score:
if result > ob_threshold:
status = "高位企稳"
else:
status = "温和上涨"
else:
if result < os_threshold:
status = "低位企稳"
else:
status = "温和下跌"
# ─── 距离 ───
if boll_len > 0:
dist_ratio = (close - boll_lower) / boll_len * 100
else:
dist_ratio = 50
if dist_ratio < 50 - dist_extreme:
dist = "极端超卖"
elif dist_ratio < 50 - dist_far:
dist = "远离"
elif dist_ratio < 50 - dist_mid:
dist = "偏离"
elif dist_ratio < 50 + dist_mid:
dist = "接近"
elif dist_ratio < 50 + dist_far:
dist = "靠近"
elif dist_ratio < 50 + dist_extreme:
dist = "远超"
else:
dist = "极端超买"
# ─── 强度标签 ───
max_score = max(buy_score, sell_score)
intensity = (
"超强" if max_score >= 90
else "强" if max_score >= 80
else "中" if max_score >= 65
else "弱" if max_score >= 55
else "极弱"
)
# ─── 详情 ───
ema5 = indicator.EMA5 if hasattr(indicator, 'EMA5') else close
ema10 = indicator.EMA10 if hasattr(indicator, 'EMA10') else close
ema20 = indicator.EMA20 if hasattr(indicator, 'EMA20') else close
bias_val = (ema5 - ema10) / ema10 * 1000 if ema10 != 0 else 0
bbp_val = (close - boll_lower) / boll_len * 100 if boll_len > 0 else 50
detail = (
f"前量:{percent:.1f} 数量:{int(amplitude):03d} 百分比:{bbp_val:.1f} "
f"正:{k_bull:.1f} 负:{k_bear:.1f}"
)
return status, signal, intensity, detail

23
src/lib/components/CenterStage.svelte
View File

@@ -6,7 +6,6 @@
import { fly } from "svelte/transition";
import { DEFAULT_PRESSURE_RANGE_MAX, DEFAULT_PRESSURE_RANGE_MIN } from "$lib/config/pressure-range";
import ConfigPanel from "$lib/components/ConfigPanel.svelte";
import ModelStage from "$lib/components/ModelStage.svelte";
import NeonBreakoutArena from "$lib/components/NeonBreakoutArena.svelte";
import PressureMatrixViewer from "$lib/components/PressureMatrixViewer.svelte";
import SignalChart from "$lib/components/SignalChart.svelte";
@@ -17,8 +16,7 @@
HudSummary,
LocaleCode,
MatrixDisplayMode,
PressureColorMapPreset,
StageViewMode
PressureColorMapPreset
} from "$lib/types/hud";
export let locale: LocaleCode = "zh-CN";
@@ -43,8 +41,6 @@
export let rangeMax = DEFAULT_PRESSURE_RANGE_MAX;
export let colorMapPreset: PressureColorMapPreset = "emerald";
export let matrixDisplayMode: MatrixDisplayMode = "dots";
export let stageViewMode: StageViewMode = "webgl";
export let modelUrl = "/models/je-skin-model.glb";
export let replaySectionLabel = "";
export let replayPlayLabel = "";
export let replayPauseLabel = "";
@@ -88,7 +84,6 @@
$: summaryCurveVisible = summary.points.length > 0 && summary.points.some((value) => Number.isFinite(value) && Math.abs(value) >= 0.0001);
$: splitMatrixTitle = locale === "zh-CN" ? "数字矩阵" : "Matrix";
$: splitMatrixHint = locale === "zh-CN" ? "实时压力数据 / 数字矩阵" : "Live pressure matrix";
$: isModelStage = stageViewMode === "model3d";
function toPxNumber(rawValue: string): number {
const value = Number.parseFloat(rawValue);
@@ -181,13 +176,7 @@
bind:this={stagePlaneEl}
style="--panel-zone-top-dyn: {panelZoneTopPx}px; --rail-scale-left: {leftRailScale}; --rail-scale-right: {rightRailScale};"
>
{#if isModelStage}
<div class="canvas-wrap">
{#key modelUrl}
<ModelStage {locale} {modelUrl} />
{/key}
</div>
{:else if showPrecisionTestPanel}
{#if showPrecisionTestPanel}
<div class="split-game-wrap">
<section class="split-panel split-matrix-panel">
<header class="split-panel-head">
@@ -243,7 +232,7 @@
</div>
{/if}
{#if showConfigPanel && !showPrecisionTestPanel && !isModelStage}
{#if showConfigPanel && !showPrecisionTestPanel}
<div class="config-panel-wrap">
<ConfigPanel
bind:matrixRows
@@ -265,7 +254,7 @@
</div>
{/if}
{#if !showPrecisionTestPanel && !isModelStage}
{#if !showPrecisionTestPanel}
<div class="panel-zone" bind:this={panelZoneEl}>
<aside class="side-rail left-rail">
<div class="rail-stack" bind:this={leftStackEl}>
@@ -337,7 +326,7 @@
</div>
{/if}
{#if replayHasData && !showPrecisionTestPanel && !isModelStage}
{#if replayHasData && !showPrecisionTestPanel}
<aside class="replay-floating-panel" class:is-left={replaySide === "left"} class:is-right={replaySide === "right"}>
<div class="replay-panel-head">
<div class="replay-panel-title-group">
@@ -375,7 +364,7 @@
</aside>
{/if}
{#if !showPrecisionTestPanel && !isModelStage}
{#if !showPrecisionTestPanel}
<div class="stage-bottom-overlay">
<slot />
</div>

79
src/lib/components/HudPanel.svelte
View File

@@ -6,7 +6,6 @@
HudNoticeTone,
LocaleCode,
MatrixDisplayMode,
StageViewMode,
WindowControlAction
} from "$lib/types/hud";
@@ -35,10 +34,6 @@
export let matrixViewNumericLabel = "";
export let matrixViewDotsLabel = "";
export let matrixDisplayMode: MatrixDisplayMode = "dots";
export let stageModeLabel = "";
export let stageModeWebglLabel = "";
export let stageModeModelLabel = "";
export let stageViewMode: StageViewMode = "webgl";
export let connectActionLabel = "";
export let disconnectActionLabel = "";
export let exportActionLabel = "";
@@ -61,7 +56,6 @@
localechange: LocaleCode;
configlink: string;
matrixdisplaytoggle: boolean;
stagemodechange: StageViewMode;
portchange: string;
serialrefresh: void;
serialconnect: string;
@@ -111,10 +105,6 @@
dispatch("matrixdisplaytoggle", matrixDisplayMode !== "dots");
}
function emitStageModeChange(nextMode: StageViewMode): void {
dispatch("stagemodechange", nextMode);
}
function emitPortChange(event: Event): void {
const target = event.currentTarget as HTMLSelectElement;
dispatch("portchange", target.value);
@@ -227,28 +217,6 @@
</button>
</section>
<section class="stage-mode-switch" aria-label={stageModeLabel}>
<span class="stage-mode-label">{stageModeLabel}</span>
<div class="stage-mode-options" role="group" aria-label={stageModeLabel}>
<button
type="button"
class="stage-mode-btn"
class:is-active={stageViewMode === "webgl"}
on:click={() => emitStageModeChange("webgl")}
>
{stageModeWebglLabel}
</button>
<button
type="button"
class="stage-mode-btn"
class:is-active={stageViewMode === "model3d"}
on:click={() => emitStageModeChange("model3d")}
>
{stageModeModelLabel}
</button>
</div>
</section>
<section class="state-card" aria-label={connectionLabel}>
<span class="state-dot" class:ok={connectionTone === "ok"} class:warn={connectionTone === "warn"}></span>
<span class="state-label">{connectionLabel}</span>
@@ -517,8 +485,7 @@
background: var(--panel-surface);
}
.matrix-switch-wrap,
.stage-mode-switch {
.matrix-switch-wrap {
display: inline-flex;
align-items: center;
gap: 0.4rem;
@@ -529,8 +496,7 @@
background: var(--panel-surface);
}
.matrix-switch-label,
.stage-mode-label {
.matrix-switch-label {
color: var(--panel-text-dim);
font-size: 0.66rem;
letter-spacing: 0.08em;
@@ -621,45 +587,6 @@
line-height: 1;
}
.stage-mode-options {
display: inline-flex;
align-items: center;
gap: 0.18rem;
padding: 0.16rem;
border: 1px solid rgb(var(--hud-border-rgb) / 0.24);
border-radius: 999px;
background: rgb(var(--hud-surface-deep-rgb) / 0.8);
}
.stage-mode-btn {
min-block-size: 1.38rem;
border: 1px solid transparent;
border-radius: 999px;
padding: 0.18rem 0.54rem;
background: transparent;
color: rgb(var(--hud-text-dim-rgb) / 0.88);
font: inherit;
font-size: 0.7rem;
letter-spacing: 0.04em;
cursor: pointer;
transition:
border-color 180ms ease,
background-color 180ms ease,
color 180ms ease,
box-shadow 180ms ease;
}
.stage-mode-btn:hover {
color: rgb(var(--hud-text-main-rgb) / 0.96);
}
.stage-mode-btn.is-active {
border-color: rgb(var(--hud-cyan-rgb) / 0.42);
background: rgb(var(--hud-cyan-rgb) / 0.14);
color: rgb(var(--hud-text-main-rgb) / 0.98);
box-shadow: 0 0 12px rgb(var(--hud-cyan-rgb) / 0.1);
}
.state-dot {
inline-size: 0.55rem;
block-size: 0.55rem;
@@ -1289,4 +1216,4 @@
}
}
</style>
</style>

469
src/lib/components/ModelStage.svelte
View File

@@ -1,469 +0,0 @@
<script lang="ts">
import { onMount } from "svelte";
import * as THREE from "three";
import { OrbitControls } from "three/examples/jsm/controls/OrbitControls.js";
import { GLTFLoader } from "three/examples/jsm/loaders/GLTFLoader.js";
import type { GLTF } from "three/examples/jsm/loaders/GLTFLoader.js";
import type { LocaleCode } from "$lib/types/hud";
type ModelLoadState = "loading" | "ready" | "missing" | "error";
export let locale: LocaleCode = "zh-CN";
export let modelUrl = "/models/je-skin-model.glb";
let rootEl: HTMLDivElement | undefined;
let canvasEl: HTMLCanvasElement | undefined;
let loadState: ModelLoadState = "loading";
let loadProgress = 0;
let loadError = "";
const FLOOR_Y = -1.15;
const MODEL_FLOOR_CLEARANCE = 0.035;
const MODEL_TARGET_HEIGHT = 8.4;
const MODEL_MIN_SCALE = 0.02;
const MODEL_MAX_SCALE = 80;
const CAMERA_DISTANCE_FACTOR = 1.35;
const CAMERA_DISTANCE_MIN = 7.5;
const CAMERA_DISTANCE_MAX = 24;
$: copy =
locale === "zh-CN"
? {
title: "3D 模型舱",
subtitle: "Dark Grid / Future Lab",
loading: "正在加载模型",
ready: "模型已载入",
missing: "等待模型文件",
error: "模型加载失败",
modelPath: "模型路径",
hint: "请使用 glTF 2.0 的 .glb/.gltf；旧版 glTF 1.0 需要先转换"
}
: {
title: "3D Model Bay",
subtitle: "Dark Grid / Future Lab",
loading: "Loading model",
ready: "Model loaded",
missing: "Waiting for model file",
error: "Model load failed",
modelPath: "Model path",
hint: "Use glTF 2.0 .glb/.gltf assets; older glTF 1.0 files need conversion first"
};
$: statusText =
loadState === "ready"
? copy.ready
: loadState === "missing"
? copy.missing
: loadState === "error"
? copy.error
: `${copy.loading} ${Math.round(loadProgress)}%`;
function disposeObject3D(object: THREE.Object3D): void {
object.traverse((child) => {
const mesh = child as THREE.Mesh;
if (mesh.geometry) {
mesh.geometry.dispose();
}
const material = mesh.material;
if (Array.isArray(material)) {
for (const item of material) {
item.dispose();
}
} else if (material) {
material.dispose();
}
});
}
function buildPlaceholderModel(): THREE.Group {
const group = new THREE.Group();
const cyan = new THREE.Color(0x5ee7ff);
const lime = new THREE.Color(0xa6ff7a);
const platform = new THREE.Mesh(
new THREE.CylinderGeometry(5.8, 6.7, 0.36, 96),
new THREE.MeshStandardMaterial({
color: 0x0c1824,
emissive: 0x07131f,
metalness: 0.62,
roughness: 0.34
})
);
platform.position.y = 0.18;
group.add(platform);
const ringGeometry = new THREE.TorusGeometry(4.35, 0.035, 10, 128);
const ringMaterial = new THREE.MeshBasicMaterial({ color: cyan, transparent: true, opacity: 0.78 });
for (let index = 0; index < 3; index += 1) {
const ring = new THREE.Mesh(ringGeometry, ringMaterial);
ring.position.y = 0.52 + index * 0.52;
ring.rotation.x = Math.PI / 2;
group.add(ring);
}
const coreMaterial = new THREE.MeshStandardMaterial({
color: 0x1b2a38,
emissive: 0x0a2632,
metalness: 0.48,
roughness: 0.42,
transparent: true,
opacity: 0.72
});
const core = new THREE.Mesh(new THREE.BoxGeometry(2.2, 3.4, 1.1), coreMaterial);
core.position.y = 2.4;
core.rotation.y = -0.36;
group.add(core);
const sensorMaterial = new THREE.MeshBasicMaterial({ color: lime, transparent: true, opacity: 0.88 });
for (let index = 0; index < 7; index += 1) {
const bead = new THREE.Mesh(new THREE.SphereGeometry(0.13, 18, 18), sensorMaterial);
bead.position.set(-0.72 + index * 0.24, 3.18 + Math.sin(index * 0.72) * 0.18, 0.6);
group.add(bead);
}
return group;
}
function clamp(value: number, min: number, max: number): number {
return Math.min(max, Math.max(min, value));
}
function normalizeObjectToStage(object: THREE.Object3D): THREE.Box3 {
object.updateMatrixWorld(true);
let bounds = new THREE.Box3().setFromObject(object);
const size = bounds.getSize(new THREE.Vector3());
const currentHeight = Math.max(size.y, 0.001);
const scale = clamp(MODEL_TARGET_HEIGHT / currentHeight, MODEL_MIN_SCALE, MODEL_MAX_SCALE);
object.scale.multiplyScalar(scale);
object.updateMatrixWorld(true);
bounds = new THREE.Box3().setFromObject(object);
const center = bounds.getCenter(new THREE.Vector3());
object.position.x -= center.x;
object.position.z -= center.z;
object.position.y += FLOOR_Y + MODEL_FLOOR_CLEARANCE - bounds.min.y;
object.updateMatrixWorld(true);
return new THREE.Box3().setFromObject(object);
}
function frameObject(object: THREE.Object3D, camera: THREE.PerspectiveCamera, controls: OrbitControls): void {
const bounds = normalizeObjectToStage(object);
const size = bounds.getSize(new THREE.Vector3());
const maxAxis = Math.max(size.x, size.y, size.z, 1);
const distance = clamp(maxAxis * CAMERA_DISTANCE_FACTOR, CAMERA_DISTANCE_MIN, CAMERA_DISTANCE_MAX);
const targetY = FLOOR_Y + Math.max(size.y * 0.46, 1.4);
camera.position.set(distance * 0.48, targetY + distance * 0.24, distance * 0.68);
camera.near = Math.max(distance / 80, 0.01);
camera.far = distance * 24;
camera.updateProjectionMatrix();
controls.target.set(0, targetY, 0);
controls.minDistance = Math.max(distance * 0.32, 2);
controls.maxDistance = Math.max(distance * 2.5, 12);
controls.update();
}
onMount(() => {
if (!rootEl || !canvasEl) {
return;
}
const renderer = new THREE.WebGLRenderer({
canvas: canvasEl,
antialias: true,
alpha: true,
powerPreference: "high-performance"
});
renderer.setPixelRatio(Math.min(window.devicePixelRatio || 1, 2));
renderer.setClearColor(0x03070d, 1);
renderer.outputColorSpace = THREE.SRGBColorSpace;
renderer.toneMapping = THREE.ACESFilmicToneMapping;
renderer.toneMappingExposure = 1.08;
const scene = new THREE.Scene();
scene.fog = new THREE.FogExp2(0x03070d, 0.028);
const camera = new THREE.PerspectiveCamera(38, 1, 0.05, 600);
camera.position.set(8, 6, 9);
const controls = new OrbitControls(camera, canvasEl);
controls.enableDamping = true;
controls.dampingFactor = 0.08;
controls.minDistance = 2.4;
controls.maxDistance = 32;
controls.target.set(0, FLOOR_Y + 3.2, 0);
const labGroup = new THREE.Group();
scene.add(labGroup);
const grid = new THREE.GridHelper(42, 42, 0x63e6ff, 0x123047);
grid.position.y = FLOOR_Y;
const gridMaterial = grid.material;
if (Array.isArray(gridMaterial)) {
for (const material of gridMaterial) {
material.transparent = true;
material.opacity = 0.28;
}
} else {
gridMaterial.transparent = true;
gridMaterial.opacity = 0.28;
}
labGroup.add(grid);
const backGrid = new THREE.GridHelper(42, 42, 0x5ee7ff, 0x0c2436);
backGrid.position.set(0, 9.5, -17);
backGrid.rotation.x = Math.PI / 2;
const backGridMaterial = backGrid.material;
if (Array.isArray(backGridMaterial)) {
for (const material of backGridMaterial) {
material.transparent = true;
material.opacity = 0.12;
}
} else {
backGridMaterial.transparent = true;
backGridMaterial.opacity = 0.12;
}
labGroup.add(backGrid);
const floor = new THREE.Mesh(
new THREE.PlaneGeometry(42, 42),
new THREE.MeshStandardMaterial({
color: 0x050c14,
metalness: 0.28,
roughness: 0.64,
transparent: true,
opacity: 0.72
})
);
floor.rotation.x = -Math.PI / 2;
floor.position.y = FLOOR_Y - 0.018;
labGroup.add(floor);
const ambient = new THREE.AmbientLight(0x9fb8d0, 0.22);
const keyLight = new THREE.DirectionalLight(0x7be7ff, 1.5);
keyLight.position.set(8, 12, 8);
const rimLight = new THREE.PointLight(0xa6ff7a, 26, 24, 2.1);
rimLight.position.set(-4.5, 4.8, -3.6);
const sideLight = new THREE.PointLight(0x5c8cff, 15, 28, 1.7);
sideLight.position.set(5.8, 3.2, -5.4);
scene.add(ambient, keyLight, rimLight, sideLight);
let activeModel: THREE.Object3D = buildPlaceholderModel();
scene.add(activeModel);
frameObject(activeModel, camera, controls);
const loader = new GLTFLoader();
loader.load(
modelUrl,
(gltf: GLTF) => {
scene.remove(activeModel);
disposeObject3D(activeModel);
activeModel = gltf.scene;
activeModel.traverse((child) => {
const mesh = child as THREE.Mesh;
if (mesh.isMesh) {
mesh.castShadow = true;
mesh.receiveShadow = true;
}
});
scene.add(activeModel);
frameObject(activeModel, camera, controls);
loadState = "ready";
loadProgress = 100;
},
(event) => {
if (event.total > 0) {
loadProgress = (event.loaded / event.total) * 100;
} else {
loadProgress = 12;
}
},
(error) => {
const message = error instanceof Error ? error.message : String(error);
loadError = message || "Unknown model loader error";
loadState = message.toLowerCase().includes("404") ? "missing" : "error";
loadProgress = 0;
}
);
const resize = () => {
if (!rootEl) {
return;
}
const width = rootEl.clientWidth;
const height = rootEl.clientHeight;
if (width <= 0 || height <= 0) {
return;
}
renderer.setSize(width, height, false);
camera.aspect = width / height;
camera.updateProjectionMatrix();
};
resize();
const resizeObserver = new ResizeObserver(resize);
resizeObserver.observe(rootEl);
renderer.setAnimationLoop((timestamp) => {
const seconds = timestamp / 1000;
labGroup.position.y = Math.sin(seconds * 0.75) * 0.015;
if (loadState !== "ready") {
activeModel.rotation.y = seconds * 0.32;
}
controls.update();
renderer.render(scene, camera);
});
return () => {
resizeObserver.disconnect();
renderer.setAnimationLoop(null);
controls.dispose();
disposeObject3D(activeModel);
disposeObject3D(labGroup);
renderer.dispose();
};
});
</script>
<div class="model-stage" bind:this={rootEl}>
<canvas class="model-canvas" bind:this={canvasEl} aria-label={copy.title}></canvas>
<div class="model-vignette" aria-hidden="true"></div>
<div class="model-scanlines" aria-hidden="true"></div>
<section class="model-hud" aria-label={copy.title}>
<p class="model-kicker">{copy.subtitle}</p>
<h2>{copy.title}</h2>
<div class="model-status-row">
<span class="status-light" class:is-ready={loadState === "ready"}></span>
<span>{statusText}</span>
</div>
<p class="model-path">{copy.modelPath}: {modelUrl}</p>
<p class="model-hint">{loadError || copy.hint}</p>
</section>
</div>
<style>
.model-stage {
position: absolute;
inset: 0;
overflow: hidden;
background:
radial-gradient(circle at 52% 62%, rgb(94 231 255 / 0.12), transparent 26%),
radial-gradient(circle at 24% 18%, rgb(166 255 122 / 0.07), transparent 24%),
linear-gradient(180deg, #03070d 0%, #07111b 48%, #02050a 100%);
}
.model-canvas,
.model-vignette,
.model-scanlines {
position: absolute;
inset: 0;
inline-size: 100%;
block-size: 100%;
}
.model-canvas {
display: block;
}
.model-vignette,
.model-scanlines {
pointer-events: none;
}
.model-vignette {
background:
linear-gradient(90deg, rgb(0 0 0 / 0.36), transparent 22%, transparent 78%, rgb(0 0 0 / 0.34)),
radial-gradient(circle at center, transparent 48%, rgb(0 0 0 / 0.58) 100%);
}
.model-scanlines {
opacity: 0.32;
background:
repeating-linear-gradient(180deg, rgb(94 231 255 / 0.045) 0, rgb(94 231 255 / 0.045) 1px, transparent 1px, transparent 4px);
mix-blend-mode: screen;
}
.model-hud {
position: absolute;
top: clamp(1.2rem, 2.8vw, 2.2rem);
left: clamp(1.2rem, 2.8vw, 2.4rem);
z-index: 2;
display: grid;
gap: 0.42rem;
max-inline-size: min(22rem, 42vw);
padding: 0.9rem 1rem 1rem;
border: 1px solid rgb(94 231 255 / 0.24);
border-radius: 0.7rem;
background:
linear-gradient(180deg, rgb(8 18 28 / 0.82), rgb(3 9 15 / 0.72)),
radial-gradient(circle at 0 0, rgb(94 231 255 / 0.1), transparent 44%);
box-shadow:
inset 0 1px 0 rgb(255 255 255 / 0.06),
0 0 28px rgb(94 231 255 / 0.08);
backdrop-filter: blur(10px);
}
.model-kicker,
.model-path,
.model-hint {
margin: 0;
color: rgb(198 226 239 / 0.72);
font-size: 0.6rem;
letter-spacing: 0.1em;
text-transform: uppercase;
line-height: 1.35;
}
h2 {
margin: 0;
color: rgb(241 251 255 / 0.96);
font-size: clamp(1.15rem, 1.1vw + 0.88rem, 1.72rem);
line-height: 1.05;
font-weight: 650;
}
.model-status-row {
display: inline-flex;
align-items: center;
gap: 0.44rem;
color: rgb(229 249 255 / 0.94);
font-size: 0.78rem;
letter-spacing: 0.04em;
}
.status-light {
inline-size: 0.58rem;
block-size: 0.58rem;
border-radius: 50%;
background: rgb(255 188 92 / 0.95);
box-shadow: 0 0 0 2px rgb(255 188 92 / 0.16), 0 0 12px rgb(255 188 92 / 0.18);
}
.status-light.is-ready {
background: rgb(166 255 122 / 0.95);
box-shadow: 0 0 0 2px rgb(166 255 122 / 0.16), 0 0 14px rgb(166 255 122 / 0.22);
}
.model-path {
color: rgb(94 231 255 / 0.78);
text-transform: none;
word-break: break-word;
}
.model-hint {
color: rgb(198 226 239 / 0.66);
text-transform: none;
letter-spacing: 0.04em;
}
@media (max-width: 960px) {
.model-hud {
max-inline-size: min(20rem, calc(100% - 2.4rem));
}
}
</style>

4
src/lib/types/hud.ts
View File

@@ -3,7 +3,6 @@ export type LocaleCode = "zh-CN" | "en-US";
export type WindowControlAction = "minimize" | "toggle-maximize" | "close";
export type ConnectionState = "online" | "connecting" | "offline";
export type StageViewMode = "webgl" | "model3d";
export type StageStatusTone = "ok" | "warn" | "idle";
export type HudNoticeTone = "ok" | "warn" | "info";
@@ -87,9 +86,6 @@ export interface HudCopy {
matrixViewLabel: string;
matrixViewNumericLabel: string;
matrixViewDotsLabel: string;
stageModeLabel: string;
stageModeWebglLabel: string;
stageModeModelLabel: string;
resetConfigLabel: string;
applyLiveHint: string;
runtimeReady: string;

26
src/routes/+page.svelte
View File

@@ -33,7 +33,6 @@
SerialRecordStateResult,
SerialImportResult,
SignalTone,
StageViewMode,
WindowControlAction
} from "$lib/types/hud";
@@ -63,9 +62,6 @@
matrixViewLabel: "矩阵模式",
matrixViewNumericLabel: "数字矩阵",
matrixViewDotsLabel: "点矩阵",
stageModeLabel: "渲染模式",
stageModeWebglLabel: "WebGL",
stageModeModelLabel: "3D 模型",
resetConfigLabel: "恢复默认",
applyLiveHint: "实时生效 / 矩阵尺寸变更将重建 viewer",
runtimeReady: "WEBGL2 READY",
@@ -125,9 +121,6 @@
matrixViewLabel: "Matrix Mode",
matrixViewNumericLabel: "Numeric",
matrixViewDotsLabel: "Dots",
stageModeLabel: "Render Mode",
stageModeWebglLabel: "WebGL",
stageModeModelLabel: "3D Model",
resetConfigLabel: "Reset",
applyLiveHint: "Live apply / size changes recreate the viewer",
runtimeReady: "WEBGL2 READY",
@@ -234,7 +227,6 @@
let rangeMax = DEFAULT_PRESSURE_RANGE_MAX;
let colorMapPreset: PressureColorMapPreset = "emerald";
let matrixDisplayMode: MatrixDisplayMode = "dots";
let stageViewMode: StageViewMode = "webgl";
let replayFrames: ReplayFrame[] = [];
let replayCurrentIndex = 0;
let replayHasDisplayedFrame = false;
@@ -1652,7 +1644,6 @@
function handleConfigLink(event: CustomEvent<string>): void {
if (event.detail === "precision-test") {
stageViewMode = "webgl";
isPrecisionTestOpen = !isPrecisionTestOpen;
isConfigPanelOpen = false;
isDevKitConfigOpen = false;
@@ -1660,7 +1651,6 @@
}
if (event.detail === "settings") {
stageViewMode = "webgl";
isPrecisionTestOpen = false;
isConfigPanelOpen = !isConfigPanelOpen;
isDevKitConfigOpen = false;
@@ -1753,14 +1743,6 @@
matrixDisplayMode = event.detail ? "dots" : "numeric";
}
function handleStageModeChange(event: CustomEvent<StageViewMode>): void {
stageViewMode = event.detail;
if (stageViewMode === "model3d") {
isPrecisionTestOpen = false;
isConfigPanelOpen = false;
}
}
onMount(() => {
let disposed = false;
let unlistenHudStream: UnlistenFn | null = null;
@@ -1856,10 +1838,6 @@
matrixViewNumericLabel={uiCopy.matrixViewNumericLabel}
matrixViewDotsLabel={uiCopy.matrixViewDotsLabel}
{matrixDisplayMode}
stageModeLabel={uiCopy.stageModeLabel}
stageModeWebglLabel={uiCopy.stageModeWebglLabel}
stageModeModelLabel={uiCopy.stageModeModelLabel}
{stageViewMode}
connectActionLabel={uiCopy.connectActionLabel}
disconnectActionLabel={uiCopy.disconnectActionLabel}
exportActionLabel={uiCopy.exportActionLabel}
@@ -1882,7 +1860,6 @@
on:portchange={handlePortChange}
on:configlink={handleConfigLink}
on:matrixdisplaytoggle={handleMatrixDisplayToggle}
on:stagemodechange={handleStageModeChange}
on:serialrefresh={handleSerialRefresh}
on:serialconnect={handleSerialConnect}
on:serialexport={handleSerialExportRequest}
@@ -1903,7 +1880,6 @@
bind:rangeMax
bind:colorMapPreset
bind:matrixDisplayMode
{stageViewMode}
configPanelTitle={uiCopy.configPanelTitle}
configPanelHint={uiCopy.configPanelHint}
matrixSizeLabel={uiCopy.matrixSizeLabel}
@@ -1940,7 +1916,7 @@
on:replayclose={handleReplayClose}
on:configclose={() => (isConfigPanelOpen = false)}
>
{#if !isPrecisionTestOpen && stageViewMode === "webgl"}
{#if !isPrecisionTestOpen}
<section class="range-scale" aria-label="Signal Range">
<p class="range-label">{locale === "zh-CN" ? "范围" : "Range"}</p>
<div class="range-track">

14
static/models/README.md
View File

@@ -1,14 +0,0 @@
# 3D model assets
Put the first pipeline model here:
- Preferred: `static/models/je-skin-model.glb`
- Format: glTF 2.0 `.glb`
- Also supported after changing `modelUrl`: glTF 2.0 `.gltf` with its `.bin` and texture files in the same folder
- Not supported directly: older glTF 1.0 assets. Convert them to glTF 2.0 first.
Runtime URL used by the app:
```text
/models/je-skin-model.glb
```

BIN
static/models/je-skin-model.glb
View File

Binary file not shown.