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Project that get the historical data about the UF from the Central Bank of Chile

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Technical test microservice to get the UF Values

RESUME

The target about this project consist to get the historical information about the value of UF from the web Central Bank of Chile web page.

Technical descriptions

I used a lot of plugins and elements in this project one of most important was the JSONAPI implementation becuase I like this to maintain some standard, in other hand I use flake8 to maintain all the code, and added some pytest scripts, in other hand I use selenium and beautifulsoup package to get the data and finally I used phantomJS like my WebDriver, however I tried unsuccessfully to implement a dockerized enviroment, the main issue was because the selenium script was to slow to get the data when i used some reote web drivers and was to complicate for me find or create one image to upload the celery services with a most recent version of phantomjs.

Endpoints

[ GET: /v1/indicators/uf/ ] This is the main endpoint, and we use this to get al hystorical information about UF. and this request finnaly response a data with this pattern:

{
    "links": {
        "first": "http://devtest.bid/v1/indicators/uf/?page=1",
        "last": "http://devtest.bid/v1/indicators/uf/?page=734",
        "next": "http://devtest.bid/v1/indicators/uf/?page=2",
        "prev": null
    },
    "data": [
        {
            "type": "uf",
            "id": "14528",
            "attributes": {
                "date": "1977-08-01",
                "value": "389.10"
            }
        },
        {
            "type": "uf",
            "id": "14529",
            "attributes": {
                "date": "1977-08-02",
                "value": "389.51"
            }
        },
        :
        :
        :
     ],
    "meta": {
        "pagination": {
            "page": 1,
            "pages": 734,
            "count": 14680
        }
    }
}

[ GET: /v1/indicators/uf/?date=2015-05-19&value=2345.67 ] We can filter the UF by data or/and value and It response is like

{
    "links": {
        "first": "http://devtest.bid/v1/indicators/uf/?date=2017-09-01&page=1",
        "last": "http://devtest.bid/v1/indicators/uf/?date=2017-09-01&page=1",
        "next": null,
        "prev": null
    },
    "data": [
        {
            "type": "uf",
            "id": "244",
            "attributes": {
                "date": "2017-09-01",
                "value": "26605.81"
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1,
            "pages": 1,
            "count": 1
        }
    }
}

The scrapper

To get all the historical data I created a manage comand that invoke to other asynchronous function you can see this command when you type the sentence

python manage.py -h

And to use this you need pass two integers to get the historical information between both.

python manage.py get_hystoric_uf_value_by_year -f 2001 -t 2016

DEPLOY

Is very important that you set your custom setting in a json file in api/ path with the name config.json you can use the config.json.example

Finally you can deploy this projec with the

python manage.py runserver

and to deploy the worker use

celery -A apps.tasks.celery worker -l INFO

and if you do not use a external borker services you need run

celery -A project_name.taskapp beat -l INFO

In my particular case I generally use CloudAMQP to tryed my personal projects

Import!!! please add the absolute path to you custom conf.json</> in the manage.py and apps.tasks.celery.py files

The Demo

To show a live demo use any REST client to endpoints in the domain (http://devtest.bid)[http://devtest.bid]

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Project that get the historical data about the UF from the Central Bank of Chile

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