Weather_api

Installation

Install Docker. Instructions can be found here:

Create virtual env:

$ python3 -m venv env

Install requirements.txt:

(env) $ pip3 install -r requirements.txt

Build Docker containers from images:

$ sudo docker-compose build

Start Docker containers:

$ sudo docker-compose up

Available commands

Build Docker containers from images:

$ sudo docker-compose build

Start Docker containers:

$ sudo docker-compose up

Get list of all Docker images:

$ docker images

Delete Docker image:

$ docker rmi <image_id>

Get list of all Docker containers:

$ docker ps -a

Delete Docker container:

$ docker rm <container_id>

Delete all stopped Docker containers:

$ docker container prune

Delete all unused Docker images:

$ docker image prune -a

Delete all dangling Docker images:

$ docker image prune

Fill database with data:

$ make fill_crypto_db

This action requires setting CRYPTOCURRENCY_ACCESS_KEY in settings.py file

Process parsed data:

$ make process_parsed

The list of other available commands is available in Makefile

GraphQL

GraphQL module can be accessed by going to /graphql link.

Writing queries

For example, to get all shawarmas, we can use this query:

query get_shawarmas {
  allShawarmas{
    edges {
      node {
        id
        name
        weight
        price
        ingredients {
          id
          name
        }
      }
    }
  }
}

The expected result is:

{
  "data": {
    "allShawarmas": {
      "edges": [
        {
          "node": {
            "id": "U2hhd2FybWFOb2RlOjE=",
            "name": "Шаурма восточная с курицей",
            "weight": 335,
            "price": 93,
            "ingredients": [
              {
                "id": "1",
                "name": "огурец соленый"
              },
              {
                "id": "2",
                "name": "лаваш арабский"
              },
              {
                "id": "3",
                "name": "мясо куриное"
              },
              {
                "id": "4",
                "name": "чесночный соус"
              },
              {
                "id": "5",
                "name": "зелень"
              }
            ]
          }
        },
        ...

We can filter our result set. For example, to get all shawarmas, whose name contain a <string>, we can use this query:

query get_shawarmas {
  allShawarmas(name_Icontains: "<string>") {
    edges {
      node {
        id
        name
        weight
        price
        ingredients {
          id
          name
        }
      }
    }
  }
}

To get specific shawarma, we can use this query:

query get_shawarmas {
  shawarma(id: "U2hhd2FybWFOb2RlOjE="){
    id
    name
    weight
    price
  }
}

Here is the list of all available lookup expressions and examples:

(name: "курица")            # Exact search
(name_Icontains: "курица")  # Contains
(weight_Lt: 400)            # Less than
(price_Gt: 100)             # Greater than

Legacy commands

Create redis user (legacy):

set user:1 User

set password:1 password

In weather_app directory run (legacy):

$ celery -A weather_app worker --loglevel=info

Install PostgreSQL (legacy):

$ sudo apt-get install postgresql

$ pip install psycopg2-binary

Setup and configure database (legacy):

$ sudo -u postgres psql

Postgres=# CREATE DATABASE weather_db;

Postgres=# CREATE USER admin WITH PASSWORD '1111';

Postgres=# ALTER ROLE admin SET client_encoding TO 'utf8';

Postgres=# ALTER ROLE admin SET default_transaction_isolation TO 'read committed';

Postgres=# ALTER ROLE admin SET timezone TO 'UTC';

Postgres=# GRANT ALL PRIVILEGES ON DATABASE weather_db TO admin;

Exit SQL console: