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1 Commits
551022215c ... 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
81 changed files with 33956 additions and 1522 deletions
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('numpy-2.4.4.dist-info\\RECORD',
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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
View File

File diff suppressed because it is too large Load Diff

0
src-tauri/gen/android/app/src/main/assets/resources/je-skin-devkit-server.exe → devkit/dist/je-skin-devkit-server.exe vendored
View File

56
package-lock.json generated
View File

@@ -6,7 +6,7 @@
"packages": {
"": {
"name": "JE-Skin",
"version": "0.4.0",
"version": "0.3.0",
"license": "MIT",
"dependencies": {
"@tauri-apps/api": "^2",
@@ -625,6 +625,9 @@
"arm"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -639,6 +642,9 @@
"arm"
],
"dev": true,
"libc": [
"musl"
],
"license": "MIT",
"optional": true,
"os": [
@@ -653,6 +659,9 @@
"arm64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -667,6 +676,9 @@
"arm64"
],
"dev": true,
"libc": [
"musl"
],
"license": "MIT",
"optional": true,
"os": [
@@ -681,6 +693,9 @@
"loong64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -695,6 +710,9 @@
"loong64"
],
"dev": true,
"libc": [
"musl"
],
"license": "MIT",
"optional": true,
"os": [
@@ -709,6 +727,9 @@
"ppc64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -723,6 +744,9 @@
"ppc64"
],
"dev": true,
"libc": [
"musl"
],
"license": "MIT",
"optional": true,
"os": [
@@ -737,6 +761,9 @@
"riscv64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -751,6 +778,9 @@
"riscv64"
],
"dev": true,
"libc": [
"musl"
],
"license": "MIT",
"optional": true,
"os": [
@@ -765,6 +795,9 @@
"s390x"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -779,6 +812,9 @@
"x64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "MIT",
"optional": true,
"os": [
@@ -793,6 +829,9 @@
"x64"
],
"dev": true,
"libc": [
"musl"
],
"license": "MIT",
"optional": true,
"os": [
@@ -1091,6 +1130,9 @@
"arm64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
@@ -1108,6 +1150,9 @@
"arm64"
],
"dev": true,
"libc": [
"musl"
],
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
@@ -1125,6 +1170,9 @@
"riscv64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
@@ -1142,6 +1190,9 @@
"x64"
],
"dev": true,
"libc": [
"glibc"
],
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [
@@ -1159,6 +1210,9 @@
"x64"
],
"dev": true,
"libc": [
"musl"
],
"license": "Apache-2.0 OR MIT",
"optional": true,
"os": [

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/"

11
src-tauri/.gitignore vendored
View File

@@ -7,14 +7,3 @@
# will have schema files for capabilities auto-completion
/gen/schemas
*log*
# Android build artifacts
/gen/android/app/build/
/gen/android/build/
/gen/android/.gradle/
/gen/android/.tauri/
/gen/android/local.properties
/gen/android/key.properties
/gen/android/keystore.properties
/gen/android/tauri.settings.gradle
/gen/android/app/src/main/jniLibs/

50
src-tauri/Cargo.lock generated
View File

@@ -14,10 +14,10 @@ dependencies = [
"crc",
"csv",
"dirs",
"eskin-finger-sdk",
"fern",
"futures-util",
"humantime",
"libc",
"log",
"ndarray",
"prost",
@@ -1153,6 +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"
@@ -2315,9 +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"
@@ -2341,6 +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"
@@ -4264,6 +4303,7 @@ dependencies = [
"core-foundation",
"core-foundation-sys",
"io-kit-sys",
"libudev",
"mach2",
"nix 0.26.4",
"scopeguard",
@@ -5566,9 +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",

5
src-tauri/Cargo.toml
View File

@@ -49,12 +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 }
[target.'cfg(target_os = "android")'.dependencies]
libc = "0.2"
eskin-finger-sdk = { version = "0.1.0", registry = "kellnr" }
[target.'cfg(not(any(target_os = "android", target_os = "ios")))'.dependencies]
tauri-plugin-updater = "2"

3
src-tauri/capabilities/default.json
View File

@@ -11,6 +11,7 @@
"core:window:allow-set-size",
"core:window:allow-start-dragging",
"opener:default",
"process:default"
"process:default",
"updater:default"
]
}

12
src-tauri/gen/android/.editorconfig
View File

@@ -1,12 +0,0 @@
# EditorConfig is awesome: https://EditorConfig.org
# top-most EditorConfig file
root = true
[*]
indent_style = space
indent_size = 2
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = false
insert_final_newline = false

20
src-tauri/gen/android/.gitignore vendored
View File

@@ -1,20 +0,0 @@
*.iml
.gradle
/local.properties
/.idea/caches
/.idea/libraries
/.idea/modules.xml
/.idea/workspace.xml
/.idea/navEditor.xml
/.idea/assetWizardSettings.xml
.DS_Store
build
/captures
.externalNativeBuild
.cxx
local.properties
key.properties
keystore.properties
/.tauri
/tauri.settings.gradle

6
src-tauri/gen/android/app/.gitignore vendored
View File

@@ -1,6 +0,0 @@
/src/main/**/generated
/src/main/jniLibs/**/*.so
/src/main/assets/tauri.conf.json
/tauri.build.gradle.kts
/proguard-tauri.pro
/tauri.properties

71
src-tauri/gen/android/app/build.gradle.kts
View File

@@ -1,71 +0,0 @@
import java.util.Properties
plugins {
id("com.android.application")
id("org.jetbrains.kotlin.android")
id("rust")
}
val tauriProperties = Properties().apply {
val propFile = file("tauri.properties")
if (propFile.exists()) {
propFile.inputStream().use { load(it) }
}
}
android {
compileSdk = 36
namespace = "com.lenn.tauri_serial"
defaultConfig {
manifestPlaceholders["usesCleartextTraffic"] = "false"
applicationId = "com.lenn.tauri_serial"
minSdk = 24
targetSdk = 36
versionCode = tauriProperties.getProperty("tauri.android.versionCode", "1").toInt()
versionName = tauriProperties.getProperty("tauri.android.versionName", "1.0")
}
buildTypes {
getByName("debug") {
manifestPlaceholders["usesCleartextTraffic"] = "true"
isDebuggable = true
isJniDebuggable = true
isMinifyEnabled = false
packaging { jniLibs.keepDebugSymbols.add("*/arm64-v8a/*.so")
jniLibs.keepDebugSymbols.add("*/armeabi-v7a/*.so")
jniLibs.keepDebugSymbols.add("*/x86/*.so")
jniLibs.keepDebugSymbols.add("*/x86_64/*.so")
}
}
getByName("release") {
isMinifyEnabled = true
proguardFiles(
*fileTree(".") { include("**/*.pro") }
.plus(getDefaultProguardFile("proguard-android-optimize.txt"))
.toList().toTypedArray()
)
}
}
kotlinOptions {
jvmTarget = "1.8"
}
buildFeatures {
buildConfig = true
}
}
rust {
rootDirRel = "../../../"
}
dependencies {
implementation("androidx.webkit:webkit:1.14.0")
implementation("androidx.appcompat:appcompat:1.7.1")
implementation("androidx.activity:activity-ktx:1.10.1")
implementation("com.google.android.material:material:1.12.0")
implementation("androidx.lifecycle:lifecycle-process:2.10.0")
testImplementation("junit:junit:4.13.2")
androidTestImplementation("androidx.test.ext:junit:1.1.4")
androidTestImplementation("androidx.test.espresso:espresso-core:3.5.0")
}
apply(from = "tauri.build.gradle.kts")

BIN
src-tauri/gen/android/app/je-skin-debug.keystore
View File

Binary file not shown.

21
src-tauri/gen/android/app/proguard-rules.pro vendored
View File

@@ -1,21 +0,0 @@
# Add project specific ProGuard rules here.
# You can control the set of applied configuration files using the
# proguardFiles setting in build.gradle.
#
# For more details, see
# http://developer.android.com/guide/developing/tools/proguard.html
# If your project uses WebView with JS, uncomment the following
# and specify the fully qualified class name to the JavaScript interface
# class:
#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
# public *;
#}
# Uncomment this to preserve the line number information for
# debugging stack traces.
#-keepattributes SourceFile,LineNumberTable
# If you keep the line number information, uncomment this to
# hide the original source file name.
#-renamesourcefileattribute SourceFile

47
src-tauri/gen/android/app/src/main/AndroidManifest.xml
View File

@@ -1,47 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android">
<uses-permission android:name="android.permission.INTERNET" />
<!-- USB Host support for serial devices -->
<uses-feature android:name="android.hardware.usb.host" android:required="true" />
<!-- AndroidTV support -->
<uses-feature android:name="android.software.leanback" android:required="false" />
<application
android:icon="@mipmap/ic_launcher"
android:label="@string/app_name"
android:theme="@style/Theme.je_skin"
android:usesCleartextTraffic="${usesCleartextTraffic}">
<activity
android:configChanges="orientation|keyboardHidden|keyboard|screenSize|locale|smallestScreenSize|screenLayout|uiMode"
android:launchMode="singleTask"
android:label="@string/main_activity_title"
android:name=".MainActivity"
android:exported="true">
<intent-filter>
<action android:name="android.intent.action.MAIN" />
<category android:name="android.intent.category.LAUNCHER" />
<!-- AndroidTV support -->
<category android:name="android.intent.category.LEANBACK_LAUNCHER" />
</intent-filter>
<!-- Auto-launch when USB device is attached -->
<intent-filter>
<action android:name="android.hardware.usb.action.USB_DEVICE_ATTACHED" />
</intent-filter>
<meta-data
android:name="android.hardware.usb.action.USB_DEVICE_ATTACHED"
android:resource="@xml/usb_device_filter" />
</activity>
<provider
android:name="androidx.core.content.FileProvider"
android:authorities="${applicationId}.fileprovider"
android:exported="false"
android:grantUriPermissions="true">
<meta-data
android:name="android.support.FILE_PROVIDER_PATHS"
android:resource="@xml/file_paths" />
</provider>
</application>
</manifest>

13
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/MainActivity.kt
View File

@@ -1,13 +0,0 @@
package com.lenn.tauri_serial
import android.os.Bundle
import androidx.activity.enableEdgeToEdge
class MainActivity : TauriActivity() {
override fun onCreate(savedInstanceState: Bundle?) {
enableEdgeToEdge()
super.onCreate(savedInstanceState)
val plugin = UsbSerialPlugin(this)
pluginManager.load(null, "usb-serial", plugin, "")
}
}

217
src-tauri/gen/android/app/src/main/java/com/lenn/tauri_serial/UsbSerialPlugin.kt
View File

@@ -1,217 +0,0 @@
package com.lenn.tauri_serial
import android.app.Activity
import android.app.PendingIntent
import android.content.BroadcastReceiver
import android.content.Context
import android.content.Intent
import android.content.IntentFilter
import android.hardware.usb.UsbDevice
import android.hardware.usb.UsbDeviceConnection
import android.hardware.usb.UsbManager
import android.os.Build
import app.tauri.annotation.Command
import app.tauri.annotation.TauriPlugin
import app.tauri.plugin.JSObject
import app.tauri.plugin.Plugin
import app.tauri.plugin.Invoke
@TauriPlugin
class UsbSerialPlugin(private val activity: Activity) : Plugin(activity) {
companion object {
private const val ACTION_USB_PERMISSION = "com.lenn.tauri_serial.USB_PERMISSION"
}
private var pendingConnectInvoke: Invoke? = null
private var pendingConnectDevice: UsbDevice? = null
private val usbPermissionReceiver = object : BroadcastReceiver() {
override fun onReceive(context: Context, intent: Intent) {
if (ACTION_USB_PERMISSION != intent.action) return
synchronized(this@UsbSerialPlugin) {
val device = if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) {
intent.getParcelableExtra(UsbManager.EXTRA_DEVICE, UsbDevice::class.java)
} else {
@Suppress("DEPRECATION")
intent.getParcelableExtra(UsbManager.EXTRA_DEVICE)
}
val granted = intent.getBooleanExtra(UsbManager.EXTRA_PERMISSION_GRANTED, false)
val invoke = pendingConnectInvoke
val targetDevice = pendingConnectDevice
pendingConnectInvoke = null
pendingConnectDevice = null
if (invoke == null || device == null) return
if (!granted) {
invoke.reject("USB permission denied")
return
}
if (targetDevice != null && device.deviceName == targetDevice.deviceName) {
openAndReturn(invoke, device)
} else {
invoke.reject("USB device mismatch")
}
}
}
}
override fun load(webView: android.webkit.WebView) {
super.load(webView)
val filter = IntentFilter(ACTION_USB_PERMISSION)
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) {
activity.applicationContext.registerReceiver(
usbPermissionReceiver, filter, Context.RECEIVER_NOT_EXPORTED
)
} else {
activity.applicationContext.registerReceiver(usbPermissionReceiver, filter)
}
}
override fun onDestroy() {
super.onDestroy()
try {
activity.applicationContext.unregisterReceiver(usbPermissionReceiver)
} catch (_: Exception) {}
}
@Command
fun usb_serial_list(invoke: Invoke) {
val usbManager = activity.getSystemService(Context.USB_SERVICE) as? UsbManager
if (usbManager == null) {
invoke.reject("USB service not available")
return
}
val devices = usbManager.deviceList
val result = JSObject()
val serialDevices = mutableListOf<JSObject>()
for ((_, device) in devices) {
if (isUsbSerialDevice(device)) {
val obj = JSObject()
obj.put("name", device.deviceName)
obj.put("vendorId", device.vendorId)
obj.put("productId", device.productId)
obj.put("manufacturer", device.manufacturerName ?: "")
obj.put("product", device.productName ?: "")
obj.put("serial", device.serialNumber ?: "")
obj.put("hasPermission", usbManager.hasPermission(device))
serialDevices.add(obj)
}
}
result.put("devices", serialDevices.toTypedArray())
invoke.resolve(result)
}
@Command
fun usb_serial_open(invoke: Invoke) {
val args = invoke.parseArgs(JSObject::class.java)
val deviceName = args.optString("name", "")
val usbManager = activity.getSystemService(Context.USB_SERVICE) as? UsbManager
if (usbManager == null) {
invoke.reject("USB service not available")
return
}
val device = usbManager.deviceList[deviceName]
if (device == null) {
invoke.reject("USB device not found: $deviceName")
return
}
if (!usbManager.hasPermission(device)) {
synchronized(this) {
pendingConnectInvoke = invoke
pendingConnectDevice = device
}
val flags = if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.S) {
PendingIntent.FLAG_MUTABLE
} else {
0
}
val permissionIntent = PendingIntent.getBroadcast(
activity, 0, Intent(ACTION_USB_PERMISSION), flags
)
usbManager.requestPermission(device, permissionIntent)
return
}
openAndReturn(invoke, device)
}
@Command
fun usb_serial_close(invoke: Invoke) {
invoke.resolve(JSObject())
}
private fun openAndReturn(invoke: Invoke, device: UsbDevice) {
val usbManager = activity.getSystemService(Context.USB_SERVICE) as? UsbManager
if (usbManager == null) {
invoke.reject("USB service not available")
return
}
val connection: UsbDeviceConnection = usbManager.openDevice(device)
?: run {
invoke.reject("Failed to open USB device")
return
}
var claimedInterface = false
for (i in 0 until device.interfaceCount) {
val iface = device.getInterface(i)
if (iface.endpointCount >= 2) {
connection.claimInterface(iface, true)
claimedInterface = true
break
}
}
if (!claimedInterface) {
invoke.reject("No usable USB interface found")
return
}
val fd = connection.fileDescriptor
val result = JSObject()
result.put("fd", fd)
result.put("name", device.deviceName)
result.put("vendorId", device.vendorId)
result.put("productId", device.productId)
invoke.resolve(result)
}
private fun isUsbSerialDevice(device: UsbDevice): Boolean {
for (i in 0 until device.interfaceCount) {
val iface = device.getInterface(i)
val classId = iface.interfaceClass
if (classId == 0x02 || classId == 0xFF) {
if (iface.endpointCount >= 2) {
return true
}
}
}
val knownVendors = setOf(
0x1A86, // CH340/CH341
0x10C4, // CP210x
0x0403, // FTDI
0x067B, // PL2303
0x2341, // Arduino
0x239A, // Adafruit
)
if (device.vendorId in knownVendors) {
return true
}
return false
}
}

30
src-tauri/gen/android/app/src/main/res/drawable-v24/ic_launcher_foreground.xml
View File

@@ -1,30 +0,0 @@
<vector xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:aapt="http://schemas.android.com/aapt"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path android:pathData="M31,63.928c0,0 6.4,-11 12.1,-13.1c7.2,-2.6 26,-1.4 26,-1.4l38.1,38.1L107,108.928l-32,-1L31,63.928z">
<aapt:attr name="android:fillColor">
<gradient
android:endX="85.84757"
android:endY="92.4963"
android:startX="42.9492"
android:startY="49.59793"
android:type="linear">
<item
android:color="#44000000"
android:offset="0.0" />
<item
android:color="#00000000"
android:offset="1.0" />
</gradient>
</aapt:attr>
</path>
<path
android:fillColor="#FFFFFF"
android:fillType="nonZero"
android:pathData="M65.3,45.828l3.8,-6.6c0.2,-0.4 0.1,-0.9 -0.3,-1.1c-0.4,-0.2 -0.9,-0.1 -1.1,0.3l-3.9,6.7c-6.3,-2.8 -13.4,-2.8 -19.7,0l-3.9,-6.7c-0.2,-0.4 -0.7,-0.5 -1.1,-0.3C38.8,38.328 38.7,38.828 38.9,39.228l3.8,6.6C36.2,49.428 31.7,56.028 31,63.928h46C76.3,56.028 71.8,49.428 65.3,45.828zM43.4,57.328c-0.8,0 -1.5,-0.5 -1.8,-1.2c-0.3,-0.7 -0.1,-1.5 0.4,-2.1c0.5,-0.5 1.4,-0.7 2.1,-0.4c0.7,0.3 1.2,1 1.2,1.8C45.3,56.528 44.5,57.328 43.4,57.328L43.4,57.328zM64.6,57.328c-0.8,0 -1.5,-0.5 -1.8,-1.2s-0.1,-1.5 0.4,-2.1c0.5,-0.5 1.4,-0.7 2.1,-0.4c0.7,0.3 1.2,1 1.2,1.8C66.5,56.528 65.6,57.328 64.6,57.328L64.6,57.328z"
android:strokeWidth="1"
android:strokeColor="#00000000" />
</vector>

170
src-tauri/gen/android/app/src/main/res/drawable/ic_launcher_background.xml
View File

@@ -1,170 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path
android:fillColor="#3DDC84"
android:pathData="M0,0h108v108h-108z" />
<path
android:fillColor="#00000000"
android:pathData="M9,0L9,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,0L19,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M29,0L29,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M39,0L39,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M49,0L49,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M59,0L59,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M69,0L69,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M79,0L79,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M89,0L89,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M99,0L99,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,9L108,9"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,19L108,19"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,29L108,29"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,39L108,39"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,49L108,49"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,59L108,59"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,69L108,69"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,79L108,79"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,89L108,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,99L108,99"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,29L89,29"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,39L89,39"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,49L89,49"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,59L89,59"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,69L89,69"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,79L89,79"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M29,19L29,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M39,19L39,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M49,19L49,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M59,19L59,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M69,19L69,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M79,19L79,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
</vector>

18
src-tauri/gen/android/app/src/main/res/layout/activity_main.xml
View File

@@ -1,18 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".MainActivity">
<TextView
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Hello World!"
app:layout_constraintBottom_toBottomOf="parent"
app:layout_constraintLeft_toLeftOf="parent"
app:layout_constraintRight_toRightOf="parent"
app:layout_constraintTop_toTopOf="parent" />
</androidx.constraintlayout.widget.ConstraintLayout>

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6
src-tauri/gen/android/app/src/main/res/values-night/themes.xml
View File

@@ -1,6 +0,0 @@
<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.je_skin" parent="Theme.MaterialComponents.DayNight.NoActionBar">
<!-- Customize your theme here. -->
</style>
</resources>

10
src-tauri/gen/android/app/src/main/res/values/colors.xml
View File

@@ -1,10 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<resources>
<color name="purple_200">#FFBB86FC</color>
<color name="purple_500">#FF6200EE</color>
<color name="purple_700">#FF3700B3</color>
<color name="teal_200">#FF03DAC5</color>
<color name="teal_700">#FF018786</color>
<color name="black">#FF000000</color>
<color name="white">#FFFFFFFF</color>
</resources>

4
src-tauri/gen/android/app/src/main/res/values/strings.xml
View File

@@ -1,4 +0,0 @@
<resources>
<string name="app_name">JE-Skin</string>
<string name="main_activity_title">JE-Skin</string>
</resources>

6
src-tauri/gen/android/app/src/main/res/values/themes.xml
View File

@@ -1,6 +0,0 @@
<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.je_skin" parent="Theme.MaterialComponents.DayNight.NoActionBar">
<!-- Customize your theme here. -->
</style>
</resources>

5
src-tauri/gen/android/app/src/main/res/xml/file_paths.xml
View File

@@ -1,5 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<paths xmlns:android="http://schemas.android.com/apk/res/android">
<external-path name="my_images" path="." />
<cache-path name="my_cache_images" path="." />
</paths>

20
src-tauri/gen/android/app/src/main/res/xml/usb_device_filter.xml
View File

@@ -1,20 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<resources>
<!-- CH340 / CH341 USB-Serial -->
<usb-device vendor-id="1a86" product-id="7523" />
<!-- CP2102 / CP2104 -->
<usb-device vendor-id="10c4" product-id="ea60" />
<usb-device vendor-id="10c4" product-id="ea70" />
<!-- FTDI FT232R / FT232H -->
<usb-device vendor-id="0403" product-id="6001" />
<usb-device vendor-id="0403" product-id="6014" />
<!-- PL2303 -->
<usb-device vendor-id="067b" product-id="2303" />
<usb-device vendor-id="067b" product-id="23a3" />
<!-- CDC ACM (generic USB serial) -->
<usb-device vendor-id="2341" product-id="0001" />
<usb-device vendor-id="2341" product-id="0043" />
<usb-device vendor-id="2341" product-id="0042" />
<!-- Allow any USB device (catch-all) -->
<usb-device />
</resources>

22
src-tauri/gen/android/build.gradle.kts
View File

@@ -1,22 +0,0 @@
buildscript {
repositories {
google()
mavenCentral()
}
dependencies {
classpath("com.android.tools.build:gradle:8.11.0")
classpath("org.jetbrains.kotlin:kotlin-gradle-plugin:1.9.25")
}
}
allprojects {
repositories {
google()
mavenCentral()
}
}
tasks.register("clean").configure {
delete("build")
}

23
src-tauri/gen/android/buildSrc/build.gradle.kts
View File

@@ -1,23 +0,0 @@
plugins {
`kotlin-dsl`
}
gradlePlugin {
plugins {
create("pluginsForCoolKids") {
id = "rust"
implementationClass = "RustPlugin"
}
}
}
repositories {
google()
mavenCentral()
}
dependencies {
compileOnly(gradleApi())
implementation("com.android.tools.build:gradle:8.11.0")
}

68
src-tauri/gen/android/buildSrc/src/main/java/com/lenn/tauri_serial/kotlin/BuildTask.kt
View File

@@ -1,68 +0,0 @@
import java.io.File
import org.apache.tools.ant.taskdefs.condition.Os
import org.gradle.api.DefaultTask
import org.gradle.api.GradleException
import org.gradle.api.logging.LogLevel
import org.gradle.api.tasks.Input
import org.gradle.api.tasks.TaskAction
open class BuildTask : DefaultTask() {
@Input
var rootDirRel: String? = null
@Input
var target: String? = null
@Input
var release: Boolean? = null
@TaskAction
fun assemble() {
val executable = """cargo""";
try {
runTauriCli(executable)
} catch (e: Exception) {
if (Os.isFamily(Os.FAMILY_WINDOWS)) {
// Try different Windows-specific extensions
val fallbacks = listOf(
"$executable.exe",
"$executable.cmd",
"$executable.bat",
)
var lastException: Exception = e
for (fallback in fallbacks) {
try {
runTauriCli(fallback)
return
} catch (fallbackException: Exception) {
lastException = fallbackException
}
}
throw lastException
} else {
throw e;
}
}
}
fun runTauriCli(executable: String) {
val rootDirRel = rootDirRel ?: throw GradleException("rootDirRel cannot be null")
val target = target ?: throw GradleException("target cannot be null")
val release = release ?: throw GradleException("release cannot be null")
val args = listOf("tauri", "android", "android-studio-script");
project.exec {
workingDir(File(project.projectDir, rootDirRel))
executable(executable)
args(args)
if (project.logger.isEnabled(LogLevel.DEBUG)) {
args("-vv")
} else if (project.logger.isEnabled(LogLevel.INFO)) {
args("-v")
}
if (release) {
args("--release")
}
args(listOf("--target", target))
}.assertNormalExitValue()
}
}

85
src-tauri/gen/android/buildSrc/src/main/java/com/lenn/tauri_serial/kotlin/RustPlugin.kt
View File

@@ -1,85 +0,0 @@
import com.android.build.api.dsl.ApplicationExtension
import org.gradle.api.DefaultTask
import org.gradle.api.Plugin
import org.gradle.api.Project
import org.gradle.kotlin.dsl.configure
import org.gradle.kotlin.dsl.get
const val TASK_GROUP = "rust"
open class Config {
lateinit var rootDirRel: String
}
open class RustPlugin : Plugin<Project> {
private lateinit var config: Config
override fun apply(project: Project) = with(project) {
config = extensions.create("rust", Config::class.java)
val defaultAbiList = listOf("arm64-v8a", "armeabi-v7a", "x86", "x86_64");
val abiList = (findProperty("abiList") as? String)?.split(',') ?: defaultAbiList
val defaultArchList = listOf("arm64", "arm", "x86", "x86_64");
val archList = (findProperty("archList") as? String)?.split(',') ?: defaultArchList
val targetsList = (findProperty("targetList") as? String)?.split(',') ?: listOf("aarch64", "armv7", "i686", "x86_64")
extensions.configure<ApplicationExtension> {
@Suppress("UnstableApiUsage")
flavorDimensions.add("abi")
productFlavors {
create("universal") {
dimension = "abi"
ndk {
abiFilters += abiList
}
}
defaultArchList.forEachIndexed { index, arch ->
create(arch) {
dimension = "abi"
ndk {
abiFilters.add(defaultAbiList[index])
}
}
}
}
}
afterEvaluate {
for (profile in listOf("debug", "release")) {
val profileCapitalized = profile.replaceFirstChar { it.uppercase() }
val buildTask = tasks.maybeCreate(
"rustBuildUniversal$profileCapitalized",
DefaultTask::class.java
).apply {
group = TASK_GROUP
description = "Build dynamic library in $profile mode for all targets"
}
tasks["mergeUniversal${profileCapitalized}JniLibFolders"].dependsOn(buildTask)
for (targetPair in targetsList.withIndex()) {
val targetName = targetPair.value
val targetArch = archList[targetPair.index]
val targetArchCapitalized = targetArch.replaceFirstChar { it.uppercase() }
val targetBuildTask = project.tasks.maybeCreate(
"rustBuild$targetArchCapitalized$profileCapitalized",
BuildTask::class.java
).apply {
group = TASK_GROUP
description = "Build dynamic library in $profile mode for $targetArch"
rootDirRel = config.rootDirRel
target = targetName
release = profile == "release"
}
buildTask.dependsOn(targetBuildTask)
tasks["merge$targetArchCapitalized${profileCapitalized}JniLibFolders"].dependsOn(
targetBuildTask
)
}
}
}
}
}

24
src-tauri/gen/android/gradle.properties
View File

@@ -1,24 +0,0 @@
# Project-wide Gradle settings.
# IDE (e.g. Android Studio) users:
# Gradle settings configured through the IDE *will override*
# any settings specified in this file.
# For more details on how to configure your build environment visit
# http://www.gradle.org/docs/current/userguide/build_environment.html
# Specifies the JVM arguments used for the daemon process.
# The setting is particularly useful for tweaking memory settings.
org.gradle.jvmargs=-Xmx2048m -Dfile.encoding=UTF-8
# When configured, Gradle will run in incubating parallel mode.
# This option should only be used with decoupled projects. More details, visit
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
# org.gradle.parallel=true
# AndroidX package structure to make it clearer which packages are bundled with the
# Android operating system, and which are packaged with your app"s APK
# https://developer.android.com/topic/libraries/support-library/androidx-rn
android.useAndroidX=true
# Kotlin code style for this project: "official" or "obsolete":
kotlin.code.style=official
# Enables namespacing of each library's R class so that its R class includes only the
# resources declared in the library itself and none from the library's dependencies,
# thereby reducing the size of the R class for that library
android.nonTransitiveRClass=true
android.nonFinalResIds=false

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6
src-tauri/gen/android/gradle/wrapper/gradle-wrapper.properties vendored
View File

@@ -1,6 +0,0 @@
#Tue May 10 19:22:52 CST 2022
distributionBase=GRADLE_USER_HOME
distributionUrl=https\://services.gradle.org/distributions/gradle-8.14.3-bin.zip
distributionPath=wrapper/dists
zipStorePath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME

185
src-tauri/gen/android/gradlew vendored
View File

@@ -1,185 +0,0 @@
#!/usr/bin/env sh
#
# Copyright 2015 the original author or authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##############################################################################
##
## Gradle start up script for UN*X
##
##############################################################################
# Attempt to set APP_HOME
# Resolve links: $0 may be a link
PRG="$0"
# Need this for relative symlinks.
while [ -h "$PRG" ] ; do
ls=`ls -ld "$PRG"`
link=`expr "$ls" : '.*-> \(.*\)$'`
if expr "$link" : '/.*' > /dev/null; then
PRG="$link"
else
PRG=`dirname "$PRG"`"/$link"
fi
done
SAVED="`pwd`"
cd "`dirname \"$PRG\"`/" >/dev/null
APP_HOME="`pwd -P`"
cd "$SAVED" >/dev/null
APP_NAME="Gradle"
APP_BASE_NAME=`basename "$0"`
# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD="maximum"
warn () {
echo "$*"
}
die () {
echo
echo "$*"
echo
exit 1
}
# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
nonstop=false
case "`uname`" in
CYGWIN* )
cygwin=true
;;
Darwin* )
darwin=true
;;
MINGW* )
msys=true
;;
NONSTOP* )
nonstop=true
;;
esac
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
# Determine the Java command to use to start the JVM.
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD="$JAVA_HOME/jre/sh/java"
else
JAVACMD="$JAVA_HOME/bin/java"
fi
if [ ! -x "$JAVACMD" ] ; then
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
else
JAVACMD="java"
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
# Increase the maximum file descriptors if we can.
if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
MAX_FD_LIMIT=`ulimit -H -n`
if [ $? -eq 0 ] ; then
if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
MAX_FD="$MAX_FD_LIMIT"
fi
ulimit -n $MAX_FD
if [ $? -ne 0 ] ; then
warn "Could not set maximum file descriptor limit: $MAX_FD"
fi
else
warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
fi
fi
# For Darwin, add options to specify how the application appears in the dock
if $darwin; then
GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
fi
# For Cygwin or MSYS, switch paths to Windows format before running java
if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
APP_HOME=`cygpath --path --mixed "$APP_HOME"`
CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
JAVACMD=`cygpath --unix "$JAVACMD"`
# We build the pattern for arguments to be converted via cygpath
ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
SEP=""
for dir in $ROOTDIRSRAW ; do
ROOTDIRS="$ROOTDIRS$SEP$dir"
SEP="|"
done
OURCYGPATTERN="(^($ROOTDIRS))"
# Add a user-defined pattern to the cygpath arguments
if [ "$GRADLE_CYGPATTERN" != "" ] ; then
OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
fi
# Now convert the arguments - kludge to limit ourselves to /bin/sh
i=0
for arg in "$@" ; do
CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
else
eval `echo args$i`="\"$arg\""
fi
i=`expr $i + 1`
done
case $i in
0) set -- ;;
1) set -- "$args0" ;;
2) set -- "$args0" "$args1" ;;
3) set -- "$args0" "$args1" "$args2" ;;
4) set -- "$args0" "$args1" "$args2" "$args3" ;;
5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
esac
fi
# Escape application args
save () {
for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
echo " "
}
APP_ARGS=`save "$@"`
# Collect all arguments for the java command, following the shell quoting and substitution rules
eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
exec "$JAVACMD" "$@"

89
src-tauri/gen/android/gradlew.bat vendored
View File

@@ -1,89 +0,0 @@
@rem
@rem Copyright 2015 the original author or authors.
@rem
@rem Licensed under the Apache License, Version 2.0 (the "License");
@rem you may not use this file except in compliance with the License.
@rem You may obtain a copy of the License at
@rem
@rem https://www.apache.org/licenses/LICENSE-2.0
@rem
@rem Unless required by applicable law or agreed to in writing, software
@rem distributed under the License is distributed on an "AS IS" BASIS,
@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
@rem See the License for the specific language governing permissions and
@rem limitations under the License.
@rem
@if "%DEBUG%" == "" @echo off
@rem ##########################################################################
@rem
@rem Gradle startup script for Windows
@rem
@rem ##########################################################################
@rem Set local scope for the variables with windows NT shell
if "%OS%"=="Windows_NT" setlocal
set DIRNAME=%~dp0
if "%DIRNAME%" == "" set DIRNAME=.
set APP_BASE_NAME=%~n0
set APP_HOME=%DIRNAME%
@rem Resolve any "." and ".." in APP_HOME to make it shorter.
for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
@rem Find java.exe
if defined JAVA_HOME goto findJavaFromJavaHome
set JAVA_EXE=java.exe
%JAVA_EXE% -version >NUL 2>&1
if "%ERRORLEVEL%" == "0" goto execute
echo.
echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
echo.
echo Please set the JAVA_HOME variable in your environment to match the
echo location of your Java installation.
goto fail
:findJavaFromJavaHome
set JAVA_HOME=%JAVA_HOME:"=%
set JAVA_EXE=%JAVA_HOME%/bin/java.exe
if exist "%JAVA_EXE%" goto execute
echo.
echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
echo.
echo Please set the JAVA_HOME variable in your environment to match the
echo location of your Java installation.
goto fail
:execute
@rem Setup the command line
set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
@rem Execute Gradle
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
:end
@rem End local scope for the variables with windows NT shell
if "%ERRORLEVEL%"=="0" goto mainEnd
:fail
rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
rem the _cmd.exe /c_ return code!
if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
exit /b 1
:mainEnd
if "%OS%"=="Windows_NT" endlocal
:omega

3
src-tauri/gen/android/settings.gradle
View File

@@ -1,3 +0,0 @@
include ':app'
apply from: 'tauri.settings.gradle'

1021
src-tauri/nsis/installer.nsi Normal file
View File

File diff suppressed because it is too large Load Diff

9
src-tauri/plugins/usb-serial-plugin.json
View File

@@ -1,9 +0,0 @@
{
"plugins": {
"usb-serial": {
"android": {
"package": "com.lenn.tauri_serial.UsbSerialPlugin"
}
}
}
}

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,
3267.658809002638,
3366.4000112252343,
2660.981740285495,
2656.615909898786,
1747.1196048717518,
3093.4178032216423,
3107.599371386878,
4138.929019101607,
3778.3928270752654,
3495.851920450506,
3110.5580063983834,
2310.8518456156107,
2899.8918261585377,
3286.6881442816784,
3601.237076948981,
2590.9553048586554,
2555.2781425978933,
2004.8764850049579,
1333.8961665824775,
2090.217507623805,
0.363302046990876,
0.2506597877765041,
0.12741811820991292,
0.32195020821212794,
0.43317540002685884,
0.7725988160553472,
0.791227193907261,
0.5957799875116326,
0.5873844015441929,
0.35855586659016336,
0.7267512979672636,
0.7214172326166498,
1.0,
0.9089476753706724,
0.8226695360434777,
0.7208819781157673,
0.5152795489332506,
0.6711736481838434,
0.7782925265622518,
0.8648282061576593,
0.5787625095682526,
0.5752349727514727,
0.43456864805018935,
0.27668525082454587,
0.47414670304783574,
4138.929019101607,
64531.08183195824,
175620.92531477427,
22.847729696357412,
14.671691561018095,
0.07533558084489102,
12446.865764906175,
47945.287047950456,
2.8973185436828195,
10.774373017335268,
3.472192991899253,
-0.013941562889309035,
0.09672681097411825,
0.5067195499928454,
0.755407246398865,
0.03711810817384146,
11.154421806888552,
64500.8986854629
],
"scaler_scale": [
1458.5456651154973,
1319.8585484401115,
798.8535944732339,
1467.8233720347457,
1637.8964913406842,
1330.3349975112737,
1391.430499849884,
1444.166940848846,
1630.948040054198,
1406.2203759964518,
1289.9699402243327,
1442.0533616965101,
1437.7214049715994,
1393.522474091575,
1468.6421185157626,
1449.3479990930084,
1293.2464048717598,
1331.2560392843097,
1326.1289536453178,
1357.3405110533047,
1452.4854193036483,
1348.4425883366337,
1318.1429721243371,
1059.93845215709,
1114.1647557935548,
0.2395898634701691,
0.21706962815914935,
0.13523106483202163,
0.23880331588910964,
0.24830003478347082,
0.1464527498295455,
0.15391677914992113,
0.18125664726966026,
0.2326879002599809,
0.23502163992653513,
0.13026800431597335,
0.15563022147466685,
1.0,
0.09922737602626737,
0.18291931318098986,
0.15401181704844932,
0.2143892844194339,
0.16856049162074294,
0.15902500893917185,
0.18285009098439925,
0.17264751056304276,
0.21090366624550771,
0.16802111677577075,
0.19264329284433157,
0.19589977001187556,
1437.7214049715994,
32602.413979370118,
95845.11969895993,
3.426376344472427,
3.408382770733738,
0.033353666248921464,
5505.629576226806,
25703.01200969283,
0.4599551450527747,
2.978321440052941,
0.3916581766443181,
0.06096090153067211,
0.07864618660494935,
0.0344984508436715,
0.17668176728315207,
0.18905119470509504,
5352.30503788098,
32297.31796957845
],
"ridge_coef": [
7.4424310127566695,
13.345966730219576,
2.351840055857306,
6.088230738742203,
-10.030964629299273,
3.876136979406362,
-11.251608537526174,
16.84502390958064,
-2.093552796584439,
-5.784923711493545,
-6.67830546424787,
-4.654052249161928,
6.038218458133514,
9.82412450487401,
-6.200667839175651,
-0.3133364534713342,
-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
}

2
src-tauri/src/commands/file_explorer.rs
View File

@@ -141,7 +141,6 @@ fn resolve_start_path(app: &AppHandle, raw_path: Option<String>) -> Result<PathB
}
fn resolve_default_path(app: &AppHandle) -> Result<PathBuf, String> {
#[cfg(not(target_os = "android"))]
if let Ok(path) = app.path().desktop_dir() {
return Ok(path);
}
@@ -176,7 +175,6 @@ fn collect_roots(app: &AppHandle) -> Vec<FileExplorerRoot> {
}
};
#[cfg(not(target_os = "android"))]
if let Ok(path) = app.path().desktop_dir() {
push_root("Desktop", path);
}

107
src-tauri/src/commands/serial.rs
View File

@@ -246,122 +246,15 @@ pub async fn serial_disconnect(
})
}
#[cfg(target_os = "android")]
#[tauri::command]
pub async fn serial_connect_fd(
app: AppHandle,
fd: i32,
device_name: String,
state: State<'_, SerialConnectionState>,
) -> Result<SerialConnectResponse, SerialError> {
if fd < 0 {
return Err(SerialError::InvalidConfig);
}
{
let session = state.session.lock().map_err(|_| SerialError::StateError)?;
if session.is_some() {
return Err(SerialError::AlreadyConnected);
}
}
let cancel = CancellationToken::new();
let current_record = Arc::new(Mutex::new(TactileARecording::new()));
let task_record = current_record.clone();
let task_cancel = cancel.clone();
let task_app = app.clone();
let task_port_name = device_name.clone();
let port = crate::serial_core::raw_fd_stream::RawFdStream::new(fd)
.map_err(|_| SerialError::OpenError)?;
let session_started_at = Instant::now();
let task = tauri::async_runtime::spawn(async move {
let codec = TactileACodec::new(DEFAULT_TACTILE_COLS, DEFAULT_TACTILE_ROWS);
let handler = TactileAHandler;
let poll_mode = PollMode::Enabled(Box::new(TactileAPollRequester::new(
Duration::from_millis(DEFAULT_TACTILE_POLL_INTERVAL_MS),
DEFAULT_TACTILE_COLS,
DEFAULT_TACTILE_ROWS,
Duration::from_millis(DEFAULT_TACTILE_REPLY_TIMEOUT_MS),
)));
if let Err(error) = serial::run_serial_with_poll(
task_app.clone(),
port,
codec,
handler,
session_started_at,
task_record.clone(),
task_cancel,
poll_mode,
)
.await
{
eprintln!("serial task exited with error: {error}");
}
let manager = task_app.state::<SerialConnectionState>();
if let Ok(mut last_record) = manager.last_record.lock() {
*last_record = Some(task_record);
}
let mut session = match manager.session.lock() {
Ok(session) => session,
Err(_) => return,
};
{
let should_clear = session
.as_ref()
.map(|current| current.port.as_str() == task_port_name.as_str())
.unwrap_or(false);
if should_clear {
session.take();
}
}
});
let mut session = state.session.lock().map_err(|_| SerialError::StateError)?;
if session.is_some() {
cancel.cancel();
task.abort();
return Err(SerialError::AlreadyConnected);
}
*session = Some(SerialSession {
port: device_name.clone(),
cancel,
task,
current_record,
});
Ok(SerialConnectResponse {
port: device_name,
connected: true,
message: "connected".to_string(),
})
}
#[tauri::command]
pub fn serial_export_csv(
app: AppHandle,
state: State<'_, SerialConnectionState>,
) -> Result<SerialExportResponse, SerialError> {
#[cfg(not(target_os = "android"))]
let mut output_dir = match app.path().desktop_dir() {
Ok(path) => path,
Err(_) => std::env::current_dir().map_err(|_| SerialError::ExportError)?,
};
#[cfg(target_os = "android")]
let mut output_dir = match app.path().download_dir() {
Ok(path) => path,
Err(_) => app.path().document_dir()
.or_else(|_| app.path().home_dir())
.or_else(|_| std::env::current_dir())
.map_err(|_| SerialError::ExportError)?,
};
let timestamp = SystemTime::now()
.duration_since(UNIX_EPOCH)

34
src-tauri/src/commands/window.rs
View File

@@ -9,36 +9,20 @@ fn main_window(app: &AppHandle) -> Result<WebviewWindow, String> {
#[tauri::command]
pub fn win_minimize(app: AppHandle) -> Result<(), String> {
#[cfg(not(target_os = "android"))]
{
main_window(&app)?
.minimize()
.map_err(|error| error.to_string())
}
#[cfg(target_os = "android")]
{
let _ = app;
Ok(())
}
main_window(&app)?
.minimize()
.map_err(|error| error.to_string())
}
#[tauri::command]
pub fn win_toggle_maximize(app: AppHandle) -> Result<(), String> {
#[cfg(not(target_os = "android"))]
{
let window = main_window(&app)?;
let is_maximized = window.is_maximized().map_err(|error| error.to_string())?;
let window = main_window(&app)?;
let is_maximized = window.is_maximized().map_err(|error| error.to_string())?;
if is_maximized {
window.unmaximize().map_err(|error| error.to_string())
} else {
window.maximize().map_err(|error| error.to_string())
}
}
#[cfg(target_os = "android")]
{
let _ = app;
Ok(())
if is_maximized {
window.unmaximize().map_err(|error| error.to_string())
} else {
window.maximize().map_err(|error| error.to_string())
}
}

44
src-tauri/src/lib.rs
View File

@@ -135,7 +135,7 @@ pub fn run() {
Ok(())
});
#[cfg(all(feature = "devkit", not(target_os = "android")))]
#[cfg(feature = "devkit")]
let builder = builder.invoke_handler(tauri::generate_handler![
commands::file_explorer::file_explorer_list,
commands::serial::serial_enum,
@@ -157,7 +157,7 @@ pub fn run() {
commands::devkit::devkit_process_export
]);
#[cfg(all(not(feature = "devkit"), not(target_os = "android")))]
#[cfg(not(feature = "devkit"))]
let builder = builder.invoke_handler(tauri::generate_handler![
commands::file_explorer::file_explorer_list,
commands::serial::serial_enum,
@@ -173,46 +173,6 @@ pub fn run() {
commands::window::win_close
]);
#[cfg(all(feature = "devkit", target_os = "android"))]
let builder = builder.invoke_handler(tauri::generate_handler![
commands::file_explorer::file_explorer_list,
commands::serial::serial_enum,
commands::serial::serial_connect,
commands::serial::serial_connect_fd,
commands::serial::serial_disconnect,
commands::serial::serial_export_csv,
commands::serial::serial_has_record_data,
commands::serial::serial_export_csv_to_path,
commands::serial::serial_import_csv,
commands::serial::serial_import_csv_from_path,
commands::window::win_minimize,
commands::window::win_toggle_maximize,
commands::window::win_close,
commands::devkit::devkit_status,
commands::devkit::devkit_start,
commands::devkit::devkit_stop,
commands::devkit::devkit_get_config,
commands::devkit::devkit_set_config,
commands::devkit::devkit_process_export
]);
#[cfg(all(not(feature = "devkit"), target_os = "android"))]
let builder = builder.invoke_handler(tauri::generate_handler![
commands::file_explorer::file_explorer_list,
commands::serial::serial_enum,
commands::serial::serial_connect,
commands::serial::serial_connect_fd,
commands::serial::serial_disconnect,
commands::serial::serial_export_csv,
commands::serial::serial_has_record_data,
commands::serial::serial_export_csv_to_path,
commands::serial::serial_import_csv,
commands::serial::serial_import_csv_from_path,
commands::window::win_minimize,
commands::window::win_toggle_maximize,
commands::window::win_close
]);
builder
.run(tauri::generate_context!())
.expect("error while running tauri application");

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)
}
_ => {

3
src-tauri/src/serial_core/mod.rs
View File

@@ -11,10 +11,9 @@ pub mod model;
pub mod serial;
pub mod record;
pub mod utils;
#[cfg(target_os = "android")]
pub mod raw_fd_stream;
#[cfg(feature = "multi-dim")]
pub mod multi_dim_force;
pub mod basin_force_estimator;
pub type TestRecording = Recording<TestFrame>;
pub type TactileARecording = Recording<TactileAFrame>;

126
src-tauri/src/serial_core/raw_fd_stream.rs
View File

@@ -1,126 +0,0 @@
use std::io;
use std::os::unix::io::RawFd;
use tokio::io::unix::AsyncFd;
use tokio::io::{AsyncRead, AsyncWrite, ReadBuf};
/// A wrapper around a raw file descriptor that implements AsyncRead + AsyncWrite.
/// Uses tokio's AsyncFd to properly integrate with the async reactor.
/// Used on Android to wrap USB device file descriptors obtained from the USB Host API.
pub struct RawFdStream {
inner: AsyncFd<RawFd>,
}
impl RawFdStream {
pub fn new(fd: RawFd) -> io::Result<Self> {
if fd < 0 {
return Err(io::Error::new(io::ErrorKind::InvalidInput, "invalid fd"));
}
// Set non-blocking
unsafe {
let flags = libc::fcntl(fd, libc::F_GETFL);
if flags < 0 {
return Err(io::Error::last_os_error());
}
if libc::fcntl(fd, libc::F_SETFL, flags | libc::O_NONBLOCK) < 0 {
return Err(io::Error::last_os_error());
}
}
let inner = AsyncFd::new(fd)?;
Ok(Self { inner })
}
}
impl Drop for RawFdStream {
fn drop(&mut self) {
// We don't close the fd here - it's managed by the UsbDeviceConnection in Kotlin.
// The Kotlin side is responsible for closing.
}
}
impl AsyncRead for RawFdStream {
fn poll_read(
self: std::pin::Pin<&mut Self>,
cx: &mut std::task::Context<'_>,
buf: &mut ReadBuf<'_>,
) -> std::task::Poll<io::Result<()>> {
loop {
let mut guard = match self.inner.poll_read_ready(cx) {
std::task::Poll::Ready(Ok(guard)) => guard,
std::task::Poll::Ready(Err(e)) => return std::task::Poll::Ready(Err(e)),
std::task::Poll::Pending => return std::task::Poll::Pending,
};
let unfilled = buf.initialize_unfilled();
let result = unsafe {
libc::read(
*self.inner.get_ref(),
unfilled.as_mut_ptr() as *mut libc::c_void,
unfilled.len(),
)
};
if result < 0 {
let err = io::Error::last_os_error();
if err.kind() == io::ErrorKind::WouldBlock {
guard.clear_ready();
continue;
}
return std::task::Poll::Ready(Err(err));
}
buf.advance(result as usize);
return std::task::Poll::Ready(Ok(()));
}
}
}
impl AsyncWrite for RawFdStream {
fn poll_write(
self: std::pin::Pin<&mut Self>,
cx: &mut std::task::Context<'_>,
buf: &[u8],
) -> std::task::Poll<io::Result<usize>> {
loop {
let mut guard = match self.inner.poll_write_ready(cx) {
std::task::Poll::Ready(Ok(guard)) => guard,
std::task::Poll::Ready(Err(e)) => return std::task::Poll::Ready(Err(e)),
std::task::Poll::Pending => return std::task::Poll::Pending,
};
let result = unsafe {
libc::write(
*self.inner.get_ref(),
buf.as_ptr() as *const libc::c_void,
buf.len(),
)
};
if result < 0 {
let err = io::Error::last_os_error();
if err.kind() == io::ErrorKind::WouldBlock {
guard.clear_ready();
continue;
}
return std::task::Poll::Ready(Err(err));
}
return std::task::Poll::Ready(Ok(result as usize));
}
}
fn poll_flush(
self: std::pin::Pin<&mut Self>,
_cx: &mut std::task::Context<'_>,
) -> std::task::Poll<io::Result<()>> {
std::task::Poll::Ready(Ok(()))
}
fn poll_shutdown(
self: std::pin::Pin<&mut Self>,
_cx: &mut std::task::Context<'_>,
) -> std::task::Poll<io::Result<()>> {
std::task::Poll::Ready(Ok(()))
}
}

18
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};
@@ -18,9 +19,8 @@ use std::time::Instant;
use tauri::{AppHandle, Emitter};
#[cfg(feature = "devkit")]
use tauri::Manager;
use tokio::io::{AsyncRead, AsyncReadExt, AsyncWrite, AsyncWriteExt};
use tokio::io::{AsyncReadExt, AsyncWriteExt};
use tokio::time::{self, Duration, MissedTickBehavior};
#[cfg(not(target_os = "android"))]
use tokio_serial::SerialStream;
use tokio_util::sync::CancellationToken;
@@ -172,7 +172,6 @@ impl PollRequester<TactileAFrame> for TactileAPollRequester {
}
}
#[cfg(not(target_os = "android"))]
pub async fn run_serial<C, H, T, F>(
app: AppHandle,
port: SerialStream,
@@ -203,7 +202,7 @@ where
pub async fn run_serial_with_poll<C, H, T, F>(
app: AppHandle,
mut port: impl AsyncRead + AsyncWrite + Unpin,
mut port: SerialStream,
mut codec: C,
mut handler: H,
session_started_at: Instant,
@@ -235,6 +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);
@@ -311,6 +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>>();

14
src-tauri/tauri.conf.json
View File

@@ -23,7 +23,7 @@
}
},
"bundle": {
"createUpdaterArtifacts": true,
"createUpdaterArtifacts": false,
"active": true,
"targets": "all",
"icon": [
@@ -45,5 +45,15 @@
"resources/je-skin-devkit-server.exe"
]
},
"plugins": {}
"plugins": {
"updater": {
"windows": {
"installMode": "passive"
},
"pubkey": "dW50cnVzdGVkIGNvbW1lbnQ6IG1pbmlzaWduIHB1YmxpYyBrZXk6IDkwODM1QkFEODI2NkZENgpSV1RXYnliWXVqVUlDUVRxbjlseDNDNjhQTGpDYis4TEZMeUk2WVhiMEhTRWJhN3hGRnQ3TTJtcwo=",
"endpoints": [
"https://je-skin.cn-nb1.rains3.com/latest.json"
]
}
}
}

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