assimp.assimp/port/PyAssimp/pyassimp/helper.py

#-*- coding: UTF-8 -*-

"""
Some fancy helper functions.
"""

import os
import platform
import ctypes
import operator

import re
import sys

have_distutils = sys.version_info[0] < 3 and sys.version_info[1] < 12
if have_distutils:
    from distutils.sysconfig import get_python_lib

try: import numpy
except ImportError: numpy = None

import logging;logger = logging.getLogger("pyassimp")

from .errors import AssimpError

additional_dirs, ext_whitelist = [],[]

# populate search directories and lists of allowed file extensions
# depending on the platform we're running on.
if os.name=='posix':
    additional_dirs.append('./')
    additional_dirs.append('/usr/lib/')
    additional_dirs.append('/usr/lib/x86_64-linux-gnu/')
    additional_dirs.append('/usr/lib/aarch64-linux-gnu/')
    additional_dirs.append('/usr/local/lib/')

    if 'LD_LIBRARY_PATH' in os.environ:
        additional_dirs.extend([item for item in os.environ['LD_LIBRARY_PATH'].split(':') if item])
    
    if platform.system() == 'Darwin':
        if 'DYLD_LIBRARY_PATH' in os.environ:
            additional_dirs.extend([item for item in os.environ['DYLD_LIBRARY_PATH'].split(':') if item])

    # check if running from anaconda.
    anaconda_keywords = ("conda", "continuum")
    if have_distutils and any(k in sys.version.lower() for k in anaconda_keywords):
      cur_path = get_python_lib()
      pattern = re.compile('.*\/lib\/')
      conda_lib = pattern.match(cur_path).group()
      logger.info("Adding Anaconda lib path:"+ conda_lib)
      additional_dirs.append(conda_lib)

    # note - this won't catch libassimp.so.N.n, but
    # currently there's always a symlink called
    # libassimp.so in /usr/local/lib.
    ext_whitelist.append('.so')
    # libassimp.dylib in /usr/local/lib
    ext_whitelist.append('.dylib')

elif os.name=='nt':
    ext_whitelist.append('.dll')
    path_dirs = os.environ['PATH'].split(';')
    additional_dirs.extend(path_dirs)

def vec2tuple(x):
    """ Converts a VECTOR3D to a Tuple """
    return (x.x, x.y, x.z)

def transform(vector3, matrix4x4):
    """ Apply a transformation matrix on a 3D vector.

    :param vector3: array with 3 elements
    :param matrix4x4: 4x4 matrix
    """
    if numpy:
        return numpy.dot(matrix4x4, numpy.append(vector3, 1.))
    else:
        m0,m1,m2,m3 = matrix4x4; x,y,z = vector3
        return [
            m0[0]*x + m0[1]*y + m0[2]*z + m0[3],
            m1[0]*x + m1[1]*y + m1[2]*z + m1[3],
            m2[0]*x + m2[1]*y + m2[2]*z + m2[3],
            m3[0]*x + m3[1]*y + m3[2]*z + m3[3]
            ]

def _inv(matrix4x4):
    m0,m1,m2,m3 = matrix4x4

    det  =  m0[3]*m1[2]*m2[1]*m3[0] - m0[2]*m1[3]*m2[1]*m3[0] - \
            m0[3]*m1[1]*m2[2]*m3[0] + m0[1]*m1[3]*m2[2]*m3[0] + \
            m0[2]*m1[1]*m2[3]*m3[0] - m0[1]*m1[2]*m2[3]*m3[0] - \
            m0[3]*m1[2]*m2[0]*m3[1] + m0[2]*m1[3]*m2[0]*m3[1] + \
            m0[3]*m1[0]*m2[2]*m3[1] - m0[0]*m1[3]*m2[2]*m3[1] - \
            m0[2]*m1[0]*m2[3]*m3[1] + m0[0]*m1[2]*m2[3]*m3[1] + \
            m0[3]*m1[1]*m2[0]*m3[2] - m0[1]*m1[3]*m2[0]*m3[2] - \
            m0[3]*m1[0]*m2[1]*m3[2] + m0[0]*m1[3]*m2[1]*m3[2] + \
            m0[1]*m1[0]*m2[3]*m3[2] - m0[0]*m1[1]*m2[3]*m3[2] - \
            m0[2]*m1[1]*m2[0]*m3[3] + m0[1]*m1[2]*m2[0]*m3[3] + \
            m0[2]*m1[0]*m2[1]*m3[3] - m0[0]*m1[2]*m2[1]*m3[3] - \
            m0[1]*m1[0]*m2[2]*m3[3] + m0[0]*m1[1]*m2[2]*m3[3]

    return[[( m1[2]*m2[3]*m3[1] - m1[3]*m2[2]*m3[1] + m1[3]*m2[1]*m3[2] - m1[1]*m2[3]*m3[2] - m1[2]*m2[1]*m3[3] + m1[1]*m2[2]*m3[3]) /det,
            ( m0[3]*m2[2]*m3[1] - m0[2]*m2[3]*m3[1] - m0[3]*m2[1]*m3[2] + m0[1]*m2[3]*m3[2] + m0[2]*m2[1]*m3[3] - m0[1]*m2[2]*m3[3]) /det,
            ( m0[2]*m1[3]*m3[1] - m0[3]*m1[2]*m3[1] + m0[3]*m1[1]*m3[2] - m0[1]*m1[3]*m3[2] - m0[2]*m1[1]*m3[3] + m0[1]*m1[2]*m3[3]) /det,
            ( m0[3]*m1[2]*m2[1] - m0[2]*m1[3]*m2[1] - m0[3]*m1[1]*m2[2] + m0[1]*m1[3]*m2[2] + m0[2]*m1[1]*m2[3] - m0[1]*m1[2]*m2[3]) /det],
           [( m1[3]*m2[2]*m3[0] - m1[2]*m2[3]*m3[0] - m1[3]*m2[0]*m3[2] + m1[0]*m2[3]*m3[2] + m1[2]*m2[0]*m3[3] - m1[0]*m2[2]*m3[3]) /det,
            ( m0[2]*m2[3]*m3[0] - m0[3]*m2[2]*m3[0] + m0[3]*m2[0]*m3[2] - m0[0]*m2[3]*m3[2] - m0[2]*m2[0]*m3[3] + m0[0]*m2[2]*m3[3]) /det,
            ( m0[3]*m1[2]*m3[0] - m0[2]*m1[3]*m3[0] - m0[3]*m1[0]*m3[2] + m0[0]*m1[3]*m3[2] + m0[2]*m1[0]*m3[3] - m0[0]*m1[2]*m3[3]) /det,
            ( m0[2]*m1[3]*m2[0] - m0[3]*m1[2]*m2[0] + m0[3]*m1[0]*m2[2] - m0[0]*m1[3]*m2[2] - m0[2]*m1[0]*m2[3] + m0[0]*m1[2]*m2[3]) /det],
           [( m1[1]*m2[3]*m3[0] - m1[3]*m2[1]*m3[0] + m1[3]*m2[0]*m3[1] - m1[0]*m2[3]*m3[1] - m1[1]*m2[0]*m3[3] + m1[0]*m2[1]*m3[3]) /det,
            ( m0[3]*m2[1]*m3[0] - m0[1]*m2[3]*m3[0] - m0[3]*m2[0]*m3[1] + m0[0]*m2[3]*m3[1] + m0[1]*m2[0]*m3[3] - m0[0]*m2[1]*m3[3]) /det,
            ( m0[1]*m1[3]*m3[0] - m0[3]*m1[1]*m3[0] + m0[3]*m1[0]*m3[1] - m0[0]*m1[3]*m3[1] - m0[1]*m1[0]*m3[3] + m0[0]*m1[1]*m3[3]) /det,
            ( m0[3]*m1[1]*m2[0] - m0[1]*m1[3]*m2[0] - m0[3]*m1[0]*m2[1] + m0[0]*m1[3]*m2[1] + m0[1]*m1[0]*m2[3] - m0[0]*m1[1]*m2[3]) /det],
           [( m1[2]*m2[1]*m3[0] - m1[1]*m2[2]*m3[0] - m1[2]*m2[0]*m3[1] + m1[0]*m2[2]*m3[1] + m1[1]*m2[0]*m3[2] - m1[0]*m2[1]*m3[2]) /det,
            ( m0[1]*m2[2]*m3[0] - m0[2]*m2[1]*m3[0] + m0[2]*m2[0]*m3[1] - m0[0]*m2[2]*m3[1] - m0[1]*m2[0]*m3[2] + m0[0]*m2[1]*m3[2]) /det,
            ( m0[2]*m1[1]*m3[0] - m0[1]*m1[2]*m3[0] - m0[2]*m1[0]*m3[1] + m0[0]*m1[2]*m3[1] + m0[1]*m1[0]*m3[2] - m0[0]*m1[1]*m3[2]) /det,
            ( m0[1]*m1[2]*m2[0] - m0[2]*m1[1]*m2[0] + m0[2]*m1[0]*m2[1] - m0[0]*m1[2]*m2[1] - m0[1]*m1[0]*m2[2] + m0[0]*m1[1]*m2[2]) /det]]

def get_bounding_box(scene):
    bb_min = [1e10, 1e10, 1e10] # x,y,z
    bb_max = [-1e10, -1e10, -1e10] # x,y,z
    inv = numpy.linalg.inv if numpy else _inv
    return get_bounding_box_for_node(scene.rootnode, bb_min, bb_max, inv(scene.rootnode.transformation))

def get_bounding_box_for_node(node, bb_min, bb_max, transformation):

    if numpy:
        transformation = numpy.dot(transformation, node.transformation)
    else:
        t0,t1,t2,t3 = transformation
        T0,T1,T2,T3 = node.transformation
        transformation = [ [
                t0[0]*T0[0] + t0[1]*T1[0] + t0[2]*T2[0] + t0[3]*T3[0],
                t0[0]*T0[1] + t0[1]*T1[1] + t0[2]*T2[1] + t0[3]*T3[1],
                t0[0]*T0[2] + t0[1]*T1[2] + t0[2]*T2[2] + t0[3]*T3[2],
                t0[0]*T0[3] + t0[1]*T1[3] + t0[2]*T2[3] + t0[3]*T3[3]
            ],[
                t1[0]*T0[0] + t1[1]*T1[0] + t1[2]*T2[0] + t1[3]*T3[0],
                t1[0]*T0[1] + t1[1]*T1[1] + t1[2]*T2[1] + t1[3]*T3[1],
                t1[0]*T0[2] + t1[1]*T1[2] + t1[2]*T2[2] + t1[3]*T3[2],
                t1[0]*T0[3] + t1[1]*T1[3] + t1[2]*T2[3] + t1[3]*T3[3]
            ],[
                t2[0]*T0[0] + t2[1]*T1[0] + t2[2]*T2[0] + t2[3]*T3[0],
                t2[0]*T0[1] + t2[1]*T1[1] + t2[2]*T2[1] + t2[3]*T3[1],
                t2[0]*T0[2] + t2[1]*T1[2] + t2[2]*T2[2] + t2[3]*T3[2],
                t2[0]*T0[3] + t2[1]*T1[3] + t2[2]*T2[3] + t2[3]*T3[3]
            ],[
                t3[0]*T0[0] + t3[1]*T1[0] + t3[2]*T2[0] + t3[3]*T3[0],
                t3[0]*T0[1] + t3[1]*T1[1] + t3[2]*T2[1] + t3[3]*T3[1],
                t3[0]*T0[2] + t3[1]*T1[2] + t3[2]*T2[2] + t3[3]*T3[2],
                t3[0]*T0[3] + t3[1]*T1[3] + t3[2]*T2[3] + t3[3]*T3[3]
            ] ]

    for mesh in node.meshes:
        for v in mesh.vertices:
            v = transform(v, transformation)
            bb_min[0] = min(bb_min[0], v[0])
            bb_min[1] = min(bb_min[1], v[1])
            bb_min[2] = min(bb_min[2], v[2])
            bb_max[0] = max(bb_max[0], v[0])
            bb_max[1] = max(bb_max[1], v[1])
            bb_max[2] = max(bb_max[2], v[2])


    for child in node.children:
        bb_min, bb_max = get_bounding_box_for_node(child, bb_min, bb_max, transformation)

    return bb_min, bb_max

def try_load_functions(library_path, dll):
    '''
    Try to bind to aiImportFile and aiReleaseImport

    Arguments
    ---------
    library_path: path to current lib
    dll:          ctypes handle to library

    Returns
    ---------
    If unsuccessful:
        None
    If successful:
        Tuple containing (library_path,
                          load from filename function,
                          load from memory function,
                          export to filename function,
                          export to blob function,
                          release function,
                          ctypes handle to assimp library)
    '''

    try:
        load     = dll.aiImportFile
        release  = dll.aiReleaseImport
        load_mem = dll.aiImportFileFromMemory
        export   = dll.aiExportScene
        export2blob = dll.aiExportSceneToBlob
    except AttributeError:
        #OK, this is a library, but it doesn't have the functions we need
        return None

    # library found!
    from .structs import Scene, ExportDataBlob
    load.restype = ctypes.POINTER(Scene)
    load_mem.restype = ctypes.POINTER(Scene)
    export2blob.restype = ctypes.POINTER(ExportDataBlob)
    return (library_path, load, load_mem, export, export2blob, release, dll)

def search_library():
    '''
    Loads the assimp library.
    Throws exception AssimpError if no library_path is found

    Returns: tuple, (load from filename function,
                     load from memory function,
                     export to filename function,
                     export to blob function,
                     release function,
                     dll)
    '''
    #this path
    folder = os.path.dirname(__file__)

    # silence 'DLL not found' message boxes on win
    try:
        ctypes.windll.kernel32.SetErrorMode(0x8007)
    except AttributeError:
        pass

    candidates = []
    # test every file
    for curfolder in [folder]+additional_dirs:
        if os.path.isdir(curfolder):
            for filename in os.listdir(curfolder):
                # our minimum requirement for candidates is that
                # they should contain 'assimp' somewhere in
                # their name                                  
                if filename.lower().find('assimp')==-1 : 
                    continue
                is_out=1
                for et in ext_whitelist:
                  if et in filename.lower():
                    is_out=0
                    break
                if is_out:
                  continue
                
                library_path = os.path.join(curfolder, filename)
                logger.debug('Try ' + library_path)
                try:
                    dll = ctypes.cdll.LoadLibrary(library_path)
                except Exception as e:
                    logger.warning(str(e))
                    # OK, this except is evil. But different OSs will throw different
                    # errors. So just ignore any errors.
                    continue
                # see if the functions we need are in the dll
                loaded = try_load_functions(library_path, dll)
                if loaded: candidates.append(loaded)

    if not candidates:
        # no library found
        raise AssimpError("assimp library not found")
    else:
        # get the newest library_path
        candidates = map(lambda x: (os.lstat(x[0])[-2], x), candidates)
        res = max(candidates, key=operator.itemgetter(0))[1]
        logger.debug('Using assimp library located at ' + res[0])

        # XXX: if there are 1000 dll/so files containing 'assimp'
        # in their name, do we have all of them in our address
        # space now until gc kicks in?

        # XXX: take version postfix of the .so on linux?
        return res[1:]

def hasattr_silent(object, name):
    """
        Calls hasttr() with the given parameters and preserves the legacy (pre-Python 3.2)
        functionality of silently catching exceptions.

        Returns the result of hasatter() or False if an exception was raised.
    """

    try:
        if not object:
            return False
        return hasattr(object, name)
    except AttributeError:
        return False