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# Swagger generated server
## Overview
This server was generated by the [swagger-codegen](https://github.com/swagger-api/swagger-codegen) project. By using the
[OpenAPI-Spec](https://github.com/swagger-api/swagger-core/wiki) from a remote server, you can easily generate a server stub. This
is an example of building a swagger-enabled Flask server.
This example uses the [Connexion](https://github.com/zalando/connexion) library on top of Flask.
## Requirements
Python 3.5.2+
## Usage
To run the server, please execute the following from the root directory:
```
pip3 install -r requirements.txt
```
then replace the values in export_env_par.txt (pi-edge requires mongodb and postgres instances)
and execute:
```
source export_env_par.txt
python3 -m swagger_server
```
and open your browser to here:
```
http://localhost:8080/piedge-connector/2.0.0
```
Your Swagger definition lives here:
```
http://localhost:8080/piedge-connector/2.0.0/swagger.json
```
To launch the integration tests, use tox:
```
sudo pip install tox
tox
```
## Running with Docker
To run the server on a Docker container, please execute the following from the root directory:
```bash
# building the image
docker build -t swagger_server .
# starting up a container
docker run -p 8080:8080 swagger_server
```
## Running with K8S
Go to deployment_files folder, replace ENV parameters in piedge_deploy_generic.yaml file and execute:
```
kubectl create namespace pi-edge-system
kubectl apply -f piedge_deploy_tandem.yaml -n pi-edge-system
```
Note:
Prometheus and Grafana should be available in monitoring namespace, if not please deploy them using the following url:
https://devopscube.com/setup-prometheus-monitoring-on-kubernetes/