django1/django/contrib/gis/gdal/field.py

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from ctypes import byref, c_int
from datetime import date, datetime, time
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.error import GDALException
from django.contrib.gis.gdal.prototypes import ds as capi
from django.utils.encoding import force_text
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr__api_8h.html
#
# The OGR_Fld_* routines are relevant here.
class Field(GDALBase):
"""
This class wraps an OGR Field, and needs to be instantiated
from a Feature object.
"""
def __init__(self, feat, index):
"""
Initializes on the feature object and the integer index of
the field within the feature.
"""
# Setting the feature pointer and index.
self._feat = feat
self._index = index
# Getting the pointer for this field.
fld_ptr = capi.get_feat_field_defn(feat.ptr, index)
if not fld_ptr:
raise GDALException('Cannot create OGR Field, invalid pointer given.')
self.ptr = fld_ptr
# Setting the class depending upon the OGR Field Type (OFT)
self.__class__ = OGRFieldTypes[self.type]
# OFTReal with no precision should be an OFTInteger.
if isinstance(self, OFTReal) and self.precision == 0:
self.__class__ = OFTInteger
self._double = True
def __str__(self):
"Returns the string representation of the Field."
return str(self.value).strip()
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# #### Field Methods ####
def as_double(self):
"Retrieves the Field's value as a double (float)."
return capi.get_field_as_double(self._feat.ptr, self._index)
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def as_int(self, is_64=False):
"Retrieves the Field's value as an integer."
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if is_64:
return capi.get_field_as_integer64(self._feat.ptr, self._index)
else:
return capi.get_field_as_integer(self._feat.ptr, self._index)
def as_string(self):
"Retrieves the Field's value as a string."
string = capi.get_field_as_string(self._feat.ptr, self._index)
return force_text(string, encoding=self._feat.encoding, strings_only=True)
def as_datetime(self):
"Retrieves the Field's value as a tuple of date & time components."
yy, mm, dd, hh, mn, ss, tz = [c_int() for i in range(7)]
status = capi.get_field_as_datetime(
self._feat.ptr, self._index, byref(yy), byref(mm), byref(dd),
byref(hh), byref(mn), byref(ss), byref(tz))
if status:
return (yy, mm, dd, hh, mn, ss, tz)
else:
raise GDALException('Unable to retrieve date & time information from the field.')
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# #### Field Properties ####
@property
def name(self):
"Returns the name of this Field."
name = capi.get_field_name(self.ptr)
return force_text(name, encoding=self._feat.encoding, strings_only=True)
@property
def precision(self):
"Returns the precision of this Field."
return capi.get_field_precision(self.ptr)
@property
def type(self):
"Returns the OGR type of this Field."
return capi.get_field_type(self.ptr)
@property
def type_name(self):
"Return the OGR field type name for this Field."
return capi.get_field_type_name(self.type)
@property
def value(self):
"Returns the value of this Field."
# Default is to get the field as a string.
return self.as_string()
@property
def width(self):
"Returns the width of this Field."
return capi.get_field_width(self.ptr)
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# ### The Field sub-classes for each OGR Field type. ###
class OFTInteger(Field):
_double = False
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_bit64 = False
@property
def value(self):
"Returns an integer contained in this field."
if self._double:
# If this is really from an OFTReal field with no precision,
# read as a double and cast as Python int (to prevent overflow).
return int(self.as_double())
else:
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return self.as_int(self._bit64)
@property
def type(self):
"""
GDAL uses OFTReals to represent OFTIntegers in created
shapefiles -- forcing the type here since the underlying field
type may actually be OFTReal.
"""
return 0
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class OFTReal(Field):
@property
def value(self):
"Returns a float contained in this field."
return self.as_double()
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# String & Binary fields, just subclasses
class OFTString(Field):
pass
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class OFTWideString(Field):
pass
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class OFTBinary(Field):
pass
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# OFTDate, OFTTime, OFTDateTime fields.
class OFTDate(Field):
@property
def value(self):
"Returns a Python `date` object for the OFTDate field."
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return date(yy.value, mm.value, dd.value)
except (ValueError, GDALException):
return None
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class OFTDateTime(Field):
@property
def value(self):
"Returns a Python `datetime` object for this OFTDateTime field."
# TODO: Adapt timezone information.
# See http://lists.osgeo.org/pipermail/gdal-dev/2006-February/007990.html
# The `tz` variable has values of: 0=unknown, 1=localtime (ambiguous),
# 100=GMT, 104=GMT+1, 80=GMT-5, etc.
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return datetime(yy.value, mm.value, dd.value, hh.value, mn.value, ss.value)
except (ValueError, GDALException):
return None
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class OFTTime(Field):
@property
def value(self):
"Returns a Python `time` object for this OFTTime field."
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return time(hh.value, mn.value, ss.value)
except (ValueError, GDALException):
return None
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class OFTInteger64(OFTInteger):
_bit64 = True
# List fields are also just subclasses
class OFTIntegerList(Field):
pass
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class OFTRealList(Field):
pass
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class OFTStringList(Field):
pass
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class OFTWideStringList(Field):
pass
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class OFTInteger64List(Field):
pass
# Class mapping dictionary for OFT Types and reverse mapping.
OGRFieldTypes = {
0: OFTInteger,
1: OFTIntegerList,
2: OFTReal,
3: OFTRealList,
4: OFTString,
5: OFTStringList,
6: OFTWideString,
7: OFTWideStringList,
8: OFTBinary,
9: OFTDate,
10: OFTTime,
11: OFTDateTime,
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# New 64-bit integer types in GDAL 2
12: OFTInteger64,
13: OFTInteger64List,
}
ROGRFieldTypes = {cls: num for num, cls in OGRFieldTypes.items()}