RestfulAPI_with_python_to_mongodb_in_docker_container

How to deploy the docker containers

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• launch the terminal
• change the dirctory to where the file is unziped.
• run docker-compose build to build containers form docker-compose.yaml file
• after build run docker-compose up -d this activate containers in detached mode
• check running container docker ps --all
• for any debug use docker logs <name of container> to check for error raised while activating
• now container are UP and runing
• you can use any thing like curl,postman to access the fully operate the API

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How to access APIs on localhost

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• you can access to api at localhost:5000/ and propagate furter for more function
• it resourses
• /delete accept delete request delete_one in the collection with try except to catch some common exceptions
• /read accept get request find_one in the collection with try except to catch some common exceptions
• /update accept put request update_one in the collection with try except to catch some common exceptions
• /create accept post request insert_one in the collection with try except to catch some common exceptions
• /create-multi accept post request insert_many in the collection with try except to catch some common exceptions
• / accept get request check if API is UP
• /count_discounted_products accept get request
• /list_unique_brands accept get request
• /count_high_offer_price accept get request
• /count_high_discount accept get request

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How to use these APIs to list, add, delete or update products

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1. List
   • set the json below with change in data->new->name
   • and send the request with it to /read
   • recive a custom json response.
   • it list all the record having the same name
   • the quaries must not allow duplicate name
   • but the collection may contain duplicate record as they are dumped
2. Add
   • set the json below with change in data->new if want to insert only one or insert multiple data-multi having array of entries as your data
   • and send the request with it to /create or /create-multi
   • recive a custom json response.
   • the quarie for single not allow duplicate name
   • where as multiple user must ensure that there is no duplicate value
3. Delete
   • set the json below with change in data->new->name
   • for deleting a entry
   • and send the request with it to /delete
4. Update
   • set the json below with change in data->set including what to update and data->new->name including where to update with
   • and send the request with it to /update

{
    "cred": {
        "ID": "main",
        "password": "loopd"
    },
    "data-multi": [
        {
            "name": "pqrs",
            "brand_name": "wab",
            "regular_price_value": "wab",
            "offer_price_value": "wab",
            "currency": "wab",
            "classification_l1": "wab",
            "classification_l2": "wab",
            "classification_l3": "wab",
            "classification_l4": "wab",
            "image_url": "wab"
        },
        {
            "name": "lmno",
            "brand_name": "wab",
            "regular_price_value": "wab",
            "offer_price_value": "wab",
            "currency": "wab",
            "classification_l1": "wab",
            "classification_l2": "wab",
            "classification_l3": "wab",
            "classification_l4": "wab",
            "image_url": "wab"
        }
    ],
    "data": {
        "new": {
            "name": "new entry",
            "brand_name": "wab",
            "regular_price_value": "wab",
            "offer_price_value": "wab",
            "currency": "wab",
            "classification_l1": "wab",
            "classification_l2": "wab",
            "classification_l3": "wab",
            "classification_l4": "wab",
            "image_url": "wab"
        },
        "set": {
            "name": "set this",
            "brand_name": "wab2",
            "regular_price_value": "wab",
            "offer_price_value": "wab",
            "currency": "wab",
            "classification_l1": "wab",
            "classification_l2": "wab",
            "classification_l3": "wab",
            "classification_l4": "wab",
            "image_url": "wab"
        }
    }
}

---

docker-compose file

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---

 version: '3'                     #docker compose version 3

 services:                         #creating two services web and db

    web:                         #specifying metadata for flaskapi

      build: ./web                         #directing to folder web to create the container with flaskapi

      ports:                         #exposing to port 5000 of machine to 5000 of container

        - "5000:5000"

      links:                         #setting link to db container

        - db

     db:                         #specifying metadata for mongodb

      build: ./db                      #directing to folder db to create the container with mongodb image

      hostname: test_mongodb                      #giving host name

      environment:                       #initialyzing database , username and password for mongodb environment

        - MONGO_INITDB_DATABASE=newdb

        - MONGO_INITDB_ROOT_USERNAME=root

        - MONGO_INITDB_ROOT_PASSWORD=pass

---

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Docker file for flaskAPI

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# download python 3 from docker hub or cached

FROM python:3 # download not only python 3, but also ubuntu operating system image layer

# instruct the image(ubuntu OS with python 3 installed), the working directory is /usr/src/app

WORKDIR /usr/src/app

# copy requirements.txt from local machine (the directory include the docker file)

# to current working directory /usr/src/app

COPY requirements.txt .

# install libraries listed in the requirements.txt on the Ubuntu machine

RUN pip install --no-cache-dir -r requirements.txt

# copy all the files from local machine to the ubuntu

COPY . .

# run python app.py to start the flask API

CMD ["python", "app.py"]

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docker file for mongodb

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#creating container of mongo:3.6.4
FROM mongo:3.6.4

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Run the docker compose file

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• launch the terminal
• change the dirctory to where the file is unziped.
• sudo docker-compose build
• sudo docker-compose up -d

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MongoDB

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MongoDB server > Database > Collections > Documents

Database is a physical container for collections where each database gets its own set of files of the file system.

Collection is a group of Mongo documents and it's equivalent of an RDBMS table. Collections do not enforce schema.

Document is a set of key value pairs and the documents have dynamic schema. Very similar to JSON