alextar / osprey_test

Osprey test

Prerequisites

install https://docs.docker.com/docker-for-mac/install/
install docker-compose https://docs.docker.com/compose/install/

Installation steps

checkout the source code
> git clone repo
> cd /path/to/your/install/ospreytest
> docker-compose build
> docker-compose up
> init cameras data 
docker exec -it ospreytest_statisticapi_1 python -c 'from tests.utils.db import init_db; init_db()'
> open browser http://localhost:8081/statistic

Working on the project

project location

The code accessed by all the docker servers/instances is in the folder
/path/to/your/install/ospreytest

bring up the docker work environment

start docker and set docker-machine environment variables
> cd /path/to/your/install/ospreytest/
> docker-compose up

Adding project requirements

add new packages to container

when adding new requirements to the requirements.txt a new image must be
built in order to persist the changes across container restarts

go inside the container
> docker exec -i -t ospreytest_statisticapi_1 bash

to update requirements.txt
> pip install --upgrade --force-reinstall -r requirements.txt

to insall a new package
> pip install some-packege-name

to freeze changes
> pip freeze > requirements.txt

Run tests

We test some cases for this project

• timeout error skipping
• ability to work with about 5m images dataset
• statistic data calculation

We create image service to imitate image storage. We use MongoDB as storage. We store camera config like (timeout value, timeout error imitation, etc) in the same collection only for simplifying the tests.

bring up the docker work environment

start docker and set docker-machine environment variables
> cd /path/to/your/install/ospreytest/
> docker-compose up

run tests

docker exec -it ospreytest_statisticapi_1 pytest -vv