def __init__(self,schema):
'''
Constructor
@param schema: XML schema for the map file
'''
self.schema=schema #Etree uses full schema name spaces
#self.linear_buffer=buffer
self.tools=utils()
def __init__(self,schema,node):
'''
Constructor: this class holds the information to be used on the SDS extraction.
@var node: lxml node element containing SDS metadata
@var schema: QName for the current map schema
'''
self.dimension_info=[]
self.schema=schema
self.dimension_sizes = node.find(self.schema + "dataDimensionSizes").text.split(" ")
try:
self.dimension_sizes=node.find(self.schema + "allocatedDimensionSizes").text.split(" ")
except:
#allocated dim size not used
pass
self.data_type=node.find(self.schema + "datum")
self.mapped_type=self.data_type.attrib["dataType"]
self.byte_order="bigEndian"
try:
self.byte_order=self.data_type.attrib["byteOrder"]
except:
#single byte data or endianness not present
pass
aux=utils()
self.py_format,self.py_data_size,self.py_endianness=aux.getPythonFormat(self.mapped_type,self.byte_order)
self.sds_data=node.find(self.schema + "arrayData")
self.spatial_storage=self.sds_data.getchildren()[0].tag
self.byte_compression="None"
self.dimension_order="1"
self.dimensions=[]
for items in node.getiterator(tag=self.schema+"dimensionRef"):
self.dimension_info.append("Dimension index " + items.attrib["dimensionIndex"] + ": " + items.attrib["name"])
self.dimension_info.insert(0, self.mapped_type)
try:
self.byte_compression=self.sds_data.attrib["compressionType"]
self.dimension_order=self.sds_data.attrib["fastestVaryingDimensionIndex"]
except:
pass
self.chunk_dimension_sizes=None
self.chunk_iter_node=None
if self.spatial_storage==self.schema+"chunks":
self.chunk_dimension_sizes=self.sds_data.getchildren()[0].find(self.schema + "chunkDimensionSizes").text.split(" ")
self.chunk_iter_node=self.sds_data.getchildren()[0]
if self.dimension_order=="0":
for dim in self.dimension_sizes[::-1]:
self.dimensions.append(int(dim))
else:
for dim in self.dimension_sizes:
self.dimensions.append(int(dim))
self.grid_size=reduce(operator.mul, self.dimensions)#number of items in the ar
def __init__(self, map_file, operation, hdf_object, output_format, verbose):
"""
Constructor:
@param map_file: HDF4 xml map file generated by the HDF4 map writer
@param operation: read / dump content of the HDF file
@param hdf_object: target objects inside the HDf file (SDS, VData, RIS, ALL)
@param output_format: binary / ascii in CSV files /numpy table
"""
self.xml_file = map_file
self.depth = 0
# sds_dump_headers aggregates dimension's information as well as the data type but it slows down the dumping process
# if the user just needs the data without the headers use --no-headers that applies to SDS arrays
self.dump_format = output_format
self.tree = None
self.verbose = verbose
try:
self.tree = etree.parse(self.xml_file).getroot() # Parse the XML document and get the root tag
except:
print "The Map file could not be found or contains not well-formed XML, please verify it", self.xml_file
return None
self.schema = "{http://www.hdfgroup.org/HDF4/XML/schema/HDF4map/1.0.1}"
try:
file_node_info = self.hdf_file_name = self.tree.find(self.schema + "HDF4FileInformation").getchildren()
hdf_file_name = file_node_info[0].text
hdf_file_path = file_node_info[1].getchildren()[1].text
self.hdf_file_name = hdf_file_path + "/" + hdf_file_name
except:
print "The HDF file described in the map file was not found or has an incorrect path "
return None
self.hdf_object = hdf_object
self.hdf_operation = operation
self.map_path = os.path.relpath(self.xml_file).replace(self.xml_file, "")
self.hdf_handler = HDFfile(self.schema, self.hdf_file_name)
self.group_stack = []
self.external_files = {} # Will store the references to external files
self.palletes = {} # Will store the references to RIS palletes
self.vdata = VData(self.schema)
self.SDS = SDS()
self.vdata_table = [] # This list will store the VData tables.
self.dataValidator = dataValidator()
self.utils = utils()
self.return_code = 0
def __init__(self,schema,hdf_fileName):
'''
Constructor
@param schema: XML schema for the map file
@param hdf_filename: location of the HDF file, this location is written on the map file.
'''
self.utils=utils()
self.schema=schema #Etree uses full schema name spaces
self.external_handler=[]
self.file_handler=None
self.ndimensional_SDS=None
try: #it opens the HDF creating a file object
file_path=path.normpath( hdf_fileName)
self.file_handler=file(file_path,"rb")
except:
print "HDF file not found: " + hdf_fileName, os.path.abspath(os.path.curdir)
exit(1)
def __init__(self):
'''
Constructor
'''
self.utils=utils()
