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
|
%global _empty_manifest_terminate_build 0
Name: python-snowfakery
Version: 3.5.0
Release: 1
Summary: Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.
License: MIT License
URL: https://github.com/SFDO-Tooling/Snowfakery
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ea/b9/658b9460342df4af274c48f61ac928dd6da4f2bf36bc3dc36f01cd743687/snowfakery-3.5.0.tar.gz
BuildArch: noarch
Requires: python3-certifi
Requires: python3-charset-normalizer
Requires: python3-click
Requires: python3-faker
Requires: python3-greenlet
Requires: python3-gvgen
Requires: python3-idna
Requires: python3-jinja2
Requires: python3-markupsafe
Requires: python3-pydantic
Requires: python3-baseconv
Requires: python3-dateutil
Requires: python3-pyyaml
Requires: python3-requests
Requires: python3-six
Requires: python3-sqlalchemy
Requires: python3-typing-extensions
Requires: python3-urllib3
%description
[](https://coveralls.io/github/SFDO-Tooling/Snowfakery?branch=main)
# Snowfakery Documentation
Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.
To tell Snowfakery what data you want to generate, you need to write a Recipe file in YAML.
Snowfakery can write its output to stdout, or any database accessible to SQLAlchemy. **When it is embedded in CumulusCI it can output to a Salesforce org**. Adding new output formats is fairly straightforward and open source contributions of that form are gratefully accepted.
[Documentation](https://snowfakery.readthedocs.io)
## Contributing
To contribute to snowfakery you will first need to setup a [virtual environment](https://docs.python.org/3/tutorial/venv.html).
Once you have youre virtual environment, you can install dependencies via pip:
`pip install -r requirements_dev.txt`
Or you can install dependencies via pip tools:
```python
make dev-install
```
Now you're all set for contributing to Snowfakery!
### Updating Dependencies
Performing dependency updates is easy. Just run `make update-deps` and commit any changes to `requirements/prod.txt` and `requirements/dev.txt`.
%package -n python3-snowfakery
Summary: Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.
Provides: python-snowfakery
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-snowfakery
[](https://coveralls.io/github/SFDO-Tooling/Snowfakery?branch=main)
# Snowfakery Documentation
Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.
To tell Snowfakery what data you want to generate, you need to write a Recipe file in YAML.
Snowfakery can write its output to stdout, or any database accessible to SQLAlchemy. **When it is embedded in CumulusCI it can output to a Salesforce org**. Adding new output formats is fairly straightforward and open source contributions of that form are gratefully accepted.
[Documentation](https://snowfakery.readthedocs.io)
## Contributing
To contribute to snowfakery you will first need to setup a [virtual environment](https://docs.python.org/3/tutorial/venv.html).
Once you have youre virtual environment, you can install dependencies via pip:
`pip install -r requirements_dev.txt`
Or you can install dependencies via pip tools:
```python
make dev-install
```
Now you're all set for contributing to Snowfakery!
### Updating Dependencies
Performing dependency updates is easy. Just run `make update-deps` and commit any changes to `requirements/prod.txt` and `requirements/dev.txt`.
%package help
Summary: Development documents and examples for snowfakery
Provides: python3-snowfakery-doc
%description help
[](https://coveralls.io/github/SFDO-Tooling/Snowfakery?branch=main)
# Snowfakery Documentation
Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.
To tell Snowfakery what data you want to generate, you need to write a Recipe file in YAML.
Snowfakery can write its output to stdout, or any database accessible to SQLAlchemy. **When it is embedded in CumulusCI it can output to a Salesforce org**. Adding new output formats is fairly straightforward and open source contributions of that form are gratefully accepted.
[Documentation](https://snowfakery.readthedocs.io)
## Contributing
To contribute to snowfakery you will first need to setup a [virtual environment](https://docs.python.org/3/tutorial/venv.html).
Once you have youre virtual environment, you can install dependencies via pip:
`pip install -r requirements_dev.txt`
Or you can install dependencies via pip tools:
```python
make dev-install
```
Now you're all set for contributing to Snowfakery!
### Updating Dependencies
Performing dependency updates is easy. Just run `make update-deps` and commit any changes to `requirements/prod.txt` and `requirements/dev.txt`.
%prep
%autosetup -n snowfakery-3.5.0
%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-snowfakery -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 3.5.0-1
- Package Spec generated
|
