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
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
|
%global _empty_manifest_terminate_build 0
Name: python-address-parser
Version: 1.0.0
Release: 1
Summary: Address parser
License: MIT
URL: https://github.com/CivicKnowledge/address_parser
Source0: https://mirrors.aliyun.com/pypi/web/packages/5e/08/c202f4a36837594bbadd77c7ae6749b7666d2e74bd6612a050fd7cd4fbe0/address_parser-1.0.0.tar.gz
BuildArch: noarch
%description
Yet another python address parser for US postal addresses
Basic usage:
from address_parser import Parser
parser = Parser()
adr = parser.parse(line)
The ``adr`` object is a nested object with address parts as properties.
return TopBunch(
number=Bunch(
type='P',
number=int(self.number) if self.number else -1,
tnumber=str(self.number),
end_number=self.multinumber,
fraction=self.fraction,
suite=self.suite,
is_block=self.is_block
),
road=Bunch(
type='P',
name=self.street_name,
direction=self.street_direction if self.street_direction else '',
suffix=self.street_type if self.street_type else ''
),
locality=Bunch(
type='P',
city=self.city,
state=self.state,
zip=self.zip
),
hash=self.hash,
text=str(self)
)
Then, you can access properties on the object. The top level properties are:
- number: The house number
- number.number. The number as an integer, or -1 if there is no house number
- number.tnumber: The number as text
- number.end_number: The final number in a number rage
- number.fraction: The fractional part of the house number
- number.suite: A suite or unit number.
- road: The street
- road.name: The bare street name
- road.direction. A cardinal direction, N, S, E, W, NE, NW, etc.
- road.suffix. The road type, sich as St, Ave, Pl.
- locality: City, state, zip
- locality.city
- locality.state
- locality.zip
- text: Holds the whole address as text.
You can also access everything as dicts. From the top level, ``adr.dict`` will return all parsed components as a dict, and each of the top level bunches can also be acess as dicts, such as ``adr.road.dict``
%package -n python3-address-parser
Summary: Address parser
Provides: python-address-parser
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-address-parser
Yet another python address parser for US postal addresses
Basic usage:
from address_parser import Parser
parser = Parser()
adr = parser.parse(line)
The ``adr`` object is a nested object with address parts as properties.
return TopBunch(
number=Bunch(
type='P',
number=int(self.number) if self.number else -1,
tnumber=str(self.number),
end_number=self.multinumber,
fraction=self.fraction,
suite=self.suite,
is_block=self.is_block
),
road=Bunch(
type='P',
name=self.street_name,
direction=self.street_direction if self.street_direction else '',
suffix=self.street_type if self.street_type else ''
),
locality=Bunch(
type='P',
city=self.city,
state=self.state,
zip=self.zip
),
hash=self.hash,
text=str(self)
)
Then, you can access properties on the object. The top level properties are:
- number: The house number
- number.number. The number as an integer, or -1 if there is no house number
- number.tnumber: The number as text
- number.end_number: The final number in a number rage
- number.fraction: The fractional part of the house number
- number.suite: A suite or unit number.
- road: The street
- road.name: The bare street name
- road.direction. A cardinal direction, N, S, E, W, NE, NW, etc.
- road.suffix. The road type, sich as St, Ave, Pl.
- locality: City, state, zip
- locality.city
- locality.state
- locality.zip
- text: Holds the whole address as text.
You can also access everything as dicts. From the top level, ``adr.dict`` will return all parsed components as a dict, and each of the top level bunches can also be acess as dicts, such as ``adr.road.dict``
%package help
Summary: Development documents and examples for address-parser
Provides: python3-address-parser-doc
%description help
Yet another python address parser for US postal addresses
Basic usage:
from address_parser import Parser
parser = Parser()
adr = parser.parse(line)
The ``adr`` object is a nested object with address parts as properties.
return TopBunch(
number=Bunch(
type='P',
number=int(self.number) if self.number else -1,
tnumber=str(self.number),
end_number=self.multinumber,
fraction=self.fraction,
suite=self.suite,
is_block=self.is_block
),
road=Bunch(
type='P',
name=self.street_name,
direction=self.street_direction if self.street_direction else '',
suffix=self.street_type if self.street_type else ''
),
locality=Bunch(
type='P',
city=self.city,
state=self.state,
zip=self.zip
),
hash=self.hash,
text=str(self)
)
Then, you can access properties on the object. The top level properties are:
- number: The house number
- number.number. The number as an integer, or -1 if there is no house number
- number.tnumber: The number as text
- number.end_number: The final number in a number rage
- number.fraction: The fractional part of the house number
- number.suite: A suite or unit number.
- road: The street
- road.name: The bare street name
- road.direction. A cardinal direction, N, S, E, W, NE, NW, etc.
- road.suffix. The road type, sich as St, Ave, Pl.
- locality: City, state, zip
- locality.city
- locality.state
- locality.zip
- text: Holds the whole address as text.
You can also access everything as dicts. From the top level, ``adr.dict`` will return all parsed components as a dict, and each of the top level bunches can also be acess as dicts, such as ``adr.road.dict``
%prep
%autosetup -n address_parser-1.0.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-address-parser -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.0-1
- Package Spec generated
|