This microservice is plugin for SwiftOps bot engine used to filter change log response. It request and reads the data from the Git log change microservice. It fetch stat of file modified count, line of code insertion and line of deletation, also changed file name with its status as Added, Modified Or Deleted.
$git clone https://github.com/swiftops/git-changelog-filter.git
- Docker should be installed on your machine. Refer Install Docker documentation.
- Change property file present in this repository
- system.properties to change db details
Once you done with pre-requisite exeute below command to start connection_leak_filter microservice
docker build -t <image-name>
docker run -p 5004:5004 --name ms-connleakfileterservice -d <image-name>
- You need to configure Gitlab Runner to execute Gitlab CI/CD Pipeline. See Gitlab Config As soon as you configure runner auto deployment will start as you commited the code in repository. refer .gitlab-ci.yml file.
- Python 3.6.0
- MongoDB
- Change property file present in this repository
- system.properties to change db details.
Virtualenv is the easiest and recommended way to configure a custom Python environment for your services. To install virtualenv execute below command:
$pip3 install virtualenvYou can check version for virtual environment version by typing below command:
$virtualenv --versionCreate a virtual environment for a project:
$ cd <my_project_folder>
$ virtualenv virtenv
virtualenv virtenv will create a folder in the current directory which will contain the Python executable files, and a copy of the pip library which you can use to install other packages. The name of the virtual environment (in this case, it was virtenv) can be anything; omitting the name will place the files in the current directory instead.
This creates a copy of Python in whichever directory you ran the command in, placing it in a folder named virtenv.
You can also use the Python interpreter of your choice (like python3.6).
$virtualenv -p /usr/bin/python3.6 virtenv
To begin using the virtual environment, it needs to be activated:
$ source virtenv/bin/activate
The name of the current virtual environment will now appear on the left of the prompt (e.g. (virtenv)Your-Computer:your_project UserName$) to let you know that it’s active. From now on, any package that you install using pip will be placed in the virtenv folder, isolated from the global Python installation. You can add python packages needed in your microservice development within virtualenv.
pip install -r requirements.txt
python services.py
http://<your-ip>:8084/changeservice/change_log_filter
If there is no details for changelog then get the latest release and its latest build and display the changelog of latest and its previous build else if details are provided then get the changelog between given and its previous build.
[POST] /changeservice/change_log_filterThis service takes input Release and build number in below format
query = 'change 4_4_0;20' query = 'files 4_4_0;20'
returns the following status codes in API:
| Status Code | Description |
|---|---|
| 200 | OK |
| 400 | BAD REQUEST |
| 404 | NOT FOUND |
| 500 | INTERNAL SERVER ERROR |
Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself.
The Gunicorn "Green Unicorn" (pronounced gee-unicorn)[2] is a Python Web Server Gateway Interface (WSGI) HTTP server.
- Natively supports WSGI, web2py, Django and Paster
- Automatic worker process management
- Simple Python configuration
- Multiple worker configurations
- Various server hooks for extensibility
- Compatible with Python 2.6+ and Python 3.2+[4]
Docker is Container platform,more deails about Docker