ts-analysis | Install elasticsearch 7 to check it 's working : curl -X GET

ts-analysis is a Jupyter Notebook library. ts-analysis has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

-Install elasticsearch 7+ to check it's working: curl -X GET "localhost:9200". -Install postgres apt-get install postgresql libpq-dev. -Create postgres user, password y database. sudo su - postgres psql CREATE USER 'tsa' WITH PASSWORD 'pass'; CREATE DATABASE ts_django OWNER tsa;. -create a virtual environment 'venv' in the backend directory virtualenv --python=python3.6 venv. -Set environmental variables in venv/bin/activate DB_NAME='ts_django' DB_USER='tsa' DB_PASSWORD='pass' ELASTIC_DATA_INDEX_PATH= full path where you store the data files that will be indexed [Optional] TEST_PATH= full path of algorithm test results (used to display test results in the UI). -activate the venv source venv/bin/activate. -install dependencies sudo apt install python3-venv python3-pip pip install --upgrade pip setuptools wheel sudo apt install libblas3 liblapack3 liblapack-dev libblas-dev libfreetype6-dev python3 -m pip install -r requirements.txt. -make migrations python3 manage.py makemigrations python3 manage.py migrate. -run the server python3 manage.py runserver. -run Celery worker & beat in another terminal (activate venv first) source venv/bin/activate celery -A tsa worker --loglevel=info -E --time-limit 30 celery -A tsa beat --loglevel=info -E --time-limit 30. -install node and npm sudo apt-get install nodejs sudo apt install npm. -install dependencies in the frontend directory npm install. -run the app npm run dev.