metadata.py 4.83 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
# -*- coding: utf-8 -*-

import os
from pprint import pformat

from geopandas import GeoDataFrame, GeoSeries
try:
    from osgeo import gdal
except ImportError:
    import gdal


autohandled_meta = [
    'bands',
    'byte_order',
    'coordinate_system_string',
    'data_type',
    'file_type',
    'header_offset',
    'interleave',
    'lines',
    'samples',
]


class GDAL_Metadata(object):
    def __init__(self, filePath='', nbands=1):
        # privates
        self._global_meta = dict()
        self._band_meta = dict()

        self.bands = nbands
        self.filePath = filePath
        self.format = ''

        if filePath:
            self.read_from_file(filePath)

    @classmethod
    def from_file(cls, filePath):
        return GDAL_Metadata(filePath=filePath)

    @classmethod
    def from_DataFrame(cls, dataframe):
        # type: (GeoDataFrame) -> 'GDAL_Metadata'

        if dataframe.empty:
            raise ValueError('DataFame must not be empty.')

        GDMD = GDAL_Metadata(nbands=dataframe.shape[1])
        GDMD.df = dataframe

        return GDMD

    def to_DataFrame(self):
        df = GeoDataFrame(columns=range(self.bands))

        # add global meta
        for k, v in self.global_meta.items():
            df.loc[k] = GeoSeries(dict(zip(df.columns, [v] * len(df.columns))))

        # add band meta
        for k, v in self.band_meta.items():
            df.loc[k] = GeoSeries(dict(zip(df.columns, v)))

        return df

    @property
    def global_meta(self):
        if not self._global_meta:
            pass

        return self._global_meta

    @global_meta.setter
    def global_meta(self, meta_dict):
        if not isinstance(meta_dict, dict):
            raise TypeError("Expected type 'dict', received '%s'." % type(meta_dict))

        self._global_meta = meta_dict

    @property
    def band_meta(self):
        if not self._band_meta:
            pass

        return self._band_meta

    @band_meta.setter
    def band_meta(self, value):
        pass

    @property
    def all_meta(self):
        all_meta = self.global_meta.copy()
        all_meta.update(self.band_meta)
        return all_meta

    @staticmethod
    def _convert_str_parameter(param_value):
        try:
            try:
                return int(param_value)  # NOTE: float('0.34') causes ValueError: invalid literal for int() with base 10
            except ValueError:
                return float(param_value)
        except ValueError:
            return param_value

    def read_from_file(self, filePath):
        assert ' ' not in filePath, "The given path contains whitespaces. This is not supported by GDAL."

        if not os.path.exists(filePath):
            raise FileNotFoundError(filePath)

        ds = gdal.Open(filePath)

        try:
            if not ds:
                raise Exception('Error reading file:  ' + gdal.GetLastErrorMsg())

            self.bands = ds.RasterCount
            self.format = ds.GetDriver().GetDescription()

            ###############
            # ENVI format #
            ###############

            if self.format == 'ENVI':
                metadict = ds.GetMetadata('ENVI')

                for k, v in metadict.items():

                    if k not in autohandled_meta:

                        if len(v.split(',')) == self.bands:
                            # band meta parameter
                            item_list = [
                                item_str.split('{')[1].strip() if item_str.strip().startswith('{') else
                                item_str.split('}')[0].strip() if item_str.strip().endswith('}') else
                                item_str.strip() for item_str in v.split(',')]

                            self.band_meta[k] = [self._convert_str_parameter(item_str) for item_str in item_list]

                        else:
                            # global meta parameter
                            self.global_meta[k] = self._convert_str_parameter(v)

            #####################
            # remaining formats #
            #####################

            else:
                # read global domain metadata
                self.global_meta = ds.GetMetadata()

                # read band domain metadata
                for b in range(self.bands):
                    band = ds.GetRasterBand(b + 1)
                    # meta_gs = GeoSeries(band.GetMetadata())
                    bandmeta_dict = band.GetMetadata()

                    for k, v in bandmeta_dict.items():
                        if k not in self.band_meta:
                            self.band_meta[k] = []

                        self.band_meta[k].append(self._convert_str_parameter(v))

                    # # fill metadata
                    # self.df[b] = meta_gs
                    del band

        finally:
            del ds

        return self.all_meta

    def __repr__(self):
        return pformat(self.all_meta)