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EagleVision-0.0.5
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EagleVision
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | EagleVision-0.0.5 |
| نام | EagleVision |
| نسخه کتابخانه | 0.0.5 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Brijesh |
| ایمیل نویسنده | brijesh.krishnank@philips.com |
| آدرس صفحه اصلی | https://github.com/philips-internal/EagleVision |
| آدرس اینترنتی | https://pypi.org/project/EagleVision/ |
| مجوز | - |
# EagleVision
## Why use this tool
This tool will help in uncovering the details in a code repository.
For example,
- Patterns in the code
- Type of asserts used in the test functions
- Test functions with no assert / pattern analysed
- Similarity in the source code/ test code functions
Note: Similarity analysis uses cosine algorithm, if the repo path given for
root and repo size is relatively large, re consider to give sub-folders,
Similarity analysis bound to take long time, since the computation is in memory
if not provided with adequate size expect potential memory overflow
- Cyclomatic complexity of functions
- Repository statistics like, Type of file, LOC, Comments, Code etc.
## Dependencies
- python 3.8 : 64 bit
- python packages (functiondefextractor, similarity-processor, lizard)
- cloc package `npm i -g cloc@2.6.0` `https://www.npmjs.com/package/cloc`
Note: cloc has a dependency for pearl,
if not installed please install pearl from `https://www.perl.org/`
- third party packages [Ctags, grep]
## Installation
Requirements are added in requirement.txt file
Python 3.8
python:
install python for the respective OS at `https://www.python.org/downloads/`
Make sure to update the path variable to point to the python installation folder.
pip: (only if pip is not present by default)
get get-pip.py from below link to your folder `https://bootstrap.pypa.io/get-pip.py`
Open a command prompt and navigate to the folder containing `get-pip.py`. Run the
following command:
cloc:
- cloc package `npm i -g cloc@2.6.0` `https://www.npmjs.com/package/cloc`
EagleVision:
```sh
pip install EagleVision
```
## Other tools
### Ctags: "https://en.wikipedia.org/wiki/Ctags"
- Windows:
1.Download Ctags from "http://ctags.sourceforge.net/"
2.Select the right package(based on OS & architecture) and
extract the zip file to a folder
3.Update the system 'path' environment variable with the path to ctags executable
- Linux:
`apt-get install ctags`
- OS X:
`brew install ctags`
### grep
1.Download grep `"binaries and Dependencies"`
from `http://gnuwin32.sourceforge.net/packages/grep.htm`
2.Extract the content to a folder
3.Copy and paste contents from `\bin` folder of Dependencies
to `\bin` folder of Binaries
4.Update the system `'path'` environment variable with the path to "grep" executable
## Usage
### Commandline
```sh
>>>python -m eaglevision --p "path\to\input\json"
```
- sample json input,
```sh
[
{
"path": "repo/path",
"run_pattern_match":true,
"run_similarity":true,
"extraction_annotation": null,
"extraction_delta": null,
"extraction_exclude": "*/test_resource/*",
"pattern_match": ["assert"],
"pattern_seperator": ["("],
"similarity_range": "70,100",
"run_cloc_metric":true,
"cloc_args": "--exclude-dir=src --exclude-ext=*.cpp,*.java",
"run_cyclomatic_complexity":true,
"cyclo_args": "-l java -l python",
"cyclo_exclude": ["*.cpp","*.java"],
"report_folder": null
}
]
```
- Input Description,
```sh
"path": Path of the repository to be analysed
"run_pattern_match": On/OFF switch for running Pattern match
"run_similarity": On/OFF switch for running Similarity check
"extraction_annotation": Functions with this annotation will be
extracted else all functions
"extraction_delta": If substring of annotation is given,
this input (integer value) will take number of
lines above and below the annotation to report,
"extraction_exclude": Pattern to exclude for Similarity and Pattern check
"pattern_match": Type of pattern to analyse in the source code
"pattern_seperator": Seperator in the pattern, left side of which will
be used for pivot reporting
"similarity_range": Range of similarity of interest example: "70,100",
"run_cloc_metric": On/OFF switch for running Cloc / types of
files/number etc in the repo
"cloc_args": Any additional args for Cloc tool
example:"--exclude-dir=src --exclude-ext=*.cpp,*.java",
"run_cyclomatic_complexity":On/OFF switch for running cyclomatic complexity check,
"cyclo_args": Any additional args for Lizard / cyclomatic complexity tool
example:"-l java -l python"
"cyclo_exclude": Pattern to exclude for cyclomatic complexity check
example: ["*.cpp","*.java"]
"report_folder": Path where report to be placed, if null will be using the path of repo
```
Note:
All the inputs are taken from the json file
1. Do not forget to have the json as list `[...]`
2. Make sure `pattern_match` and `pattern_seperator` is of same length list
if you are not interested in any `pattern_seperator` for s specific
`pattern_match` , mark it `null` in `pattern_seperator`
3. Make sure mark it `null` if a string or list parameter is not used
4. Make sure mark it `true/false` for bool type
```sh
refer https://www.npmjs.com/package/cloc for cloc args
refer https://pypi.org/project/lizard/ for cyclo args
refer https://pypi.org/project/functiondefextractor/ for extraction_exclude
refer https://pypi.org/project/similarity-processor/ for similarity
```
### Output
- Output will be available in same folder as `path` given in json under `EagleVisionReport`
## Contact
Brijesh Krishnan <brijesh.krishnank@philips.com>
## License
The MIT License (MIT) Copyright © [2019] Koninklijke Philips N.V,
`https://www.philips.com`
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.
نیازمندی
| مقدار | نام |
|---|---|
| ==0.1.2 | functiondefextractor |
| ==0.1.1 | similarity-processor |
| ==1.17.3 | lizard |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl EagleVision-0.0.5:
pip install EagleVision-0.0.5.whl
نصب پکیج tar.gz EagleVision-0.0.5:
pip install EagleVision-0.0.5.tar.gz