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fences-1.0.0
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Generate samples for various schemas like json schema, xml schema and regex
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fences-1.0.0 |
| نام | fences |
| نسخه کتابخانه | 1.0.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/fences/ |
| مجوز | MIT License Copyright (c) 2023 Institut für Automation und Kommunikation e.V. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
# Fences
[](https://github.com/ifak/fences/actions/workflows/check.yml)
Fences is a python tool which lets you create test data based on schemas.
For this, it generates a set of *valid samples* which fullfil your schema.
Additionally, it generates a set of *invalid samples* which intentionally violate your schema.
You can then feed these samples into your software to test.
If your software is implemented correctly, it must accept all valid samples and reject all invalid ones.
Unlike other similar tools, fences generate samples systematically instead of randomly.
This way, the valid / invalid samples systematically cover all boundaries of your input schema (like placing *fences*, hence the name).
## Installation
Use pip to install Fences:
```
python -m pip install fences
```
Fences is a self contained library without any external dependencies.
It uses [Lark](https://github.com/lark-parser/lark) for regex parsing, but in the standalone version where a python file is generated from the grammar beforehand (Mozilla Public License, v. 2.0).
## Usage
Generate samples for regular expressions:
```python
from fences import parse_regex
graph = parse_regex("a+(c+)b{3,7}")
for i in graph.generate_paths():
sample = graph.execute(i.path)
print("Valid:" if i.is_valid else "Invalid:")
print(sample)
```
Generate samples for json schema:
```python
from fences import parse_json_schema
import json
graph = parse_json_schema({
'properties': {
'foo': {
'type': 'string'
},
'bar': {
'type': 'boolean'
}
}
})
for i in graph.generate_paths():
sample = graph.execute(i.path)
print("Valid:" if i.is_valid else "Invalid:")
print(json.dumps(sample, indent=4))
```
Generate samples for XML schema:
```python
from fences import parse_xml_schema
from xml.etree import ElementTree
from xml.dom import minidom
et = ElementTree.fromstring("""<?xml version="1.0" encoding="UTF-8" ?>
<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema">
<xs:element name = 'class'>
<xs:complexType>
<xs:sequence>
<xs:element name = 'student' type = 'StudentType' minOccurs = '0' maxOccurs = 'unbounded' />
</xs:sequence>
</xs:complexType>
</xs:element>
<xs:complexType name = "StudentType">
<xs:sequence>
<xs:element name = "firstname" type = "xs:string"/>
<xs:element name = "lastname" type = "xs:string"/>
<xs:element name = "nickname" type = "xs:string"/>
<xs:element name = "marks" type = "xs:positiveInteger"/>
</xs:sequence>
<xs:attribute name = 'rollno' type = 'xs:positiveInteger'/>
</xs:complexType>
</xs:schema>""")
graph = parse_xml_schema(et)
for i in graph.generate_paths():
sample = graph.execute(i.path)
s = ElementTree.tostring(sample.getroot())
print("Valid:" if i.is_valid else "Invalid:")
print(minidom.parseString(s).toprettyxml(indent=" "))
```
## Real-World Examples
Find some real-world examples in the `examples` folder.
## Limitations
General:
Fences does not check if your schema is syntactically correct.
Fences is designed to be as permissive as possible when parsing a schema but will complain if there is an aspect it does not understand.
For XML:
Python's default XML implementation `xml.etree.ElementTree` has a very poor support for namespaces (https://docs.python.org/3/library/xml.etree.elementtree.html#parsing-xml-with-namespaces).
This might lead to problems when using the `targetNamespace` attribute in your XML schema.
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl fences-1.0.0:
pip install fences-1.0.0.whl
نصب پکیج tar.gz fences-1.0.0:
pip install fences-1.0.0.tar.gz