Utopian.rocks is a Flask application that shows unreviewed or pending contributions, and pending moderator comments. It also includes some endpoints to retrieve contributions, statistics and a weekly template for one of Utopian's posts.

https://utopian.rocks/ currently updates every 4 minutes!

To run this locally you must have MongoDB and Python3.6 installed (and optionally Node.js). After this you can clone this repository with

$ git clone https://github.com/amosbastian/utopian.rocks.git

and install all the Python packages using

$ pip install -r requirements.txt

Since the spreadsheet is only available for Utopian moderators I have prepared a JSON file with contributions, so that you can use that instead. Download it and extract it in your utopian.rocks folder. Once you have done this you should change the constant CONTRIBUTING in constants.py to True. Finally, if have a MongoDB instance running you can use the following script to populate the database.

$ python update_database.py

Finally, you can run the web application with either of the following commands

$ python utopian/app.py

or

$ gunicorn wsgi:app

or

$ npm start

For the command above you must first run npm install. This command automatically compiles the SCSS to CSS, but you will still need to restart it every time you make changes to files that aren't CSS files (CTRL + C to stop, then run the command again).

The script update_database.py updates a MongoDB with all contributions made in the spreadsheet. While doing this it also adds some additional information that isn't available in the spreadsheet, like the total payout of the post, the number of comments it has and more. An example of a post in the database is shown below

{
  "_id": {
    "$oid": "5b05d3229d6f5d7215a2b826"
  }, 
  "author": "amosbastian", 
  "category": "development", 
  "moderator": "helo", 
  "picked_by": "", 
  "repository": "https://github.com/amosbastian/utopian-spreadsheet", 
  "review_date": {
    "$date": 1526947200000
  }, 
  "staff_picked": false, 
  "status": "reviewed", 
  "total_comments": 4, 
  "total_payout": 165.864, 
  "total_votes": 25, 
  "url": "https://steemit.com/utopian-io/@amosbastian/utopian-spreadsheet-management-bot", 
  "utopian_vote": 163.62548043223717, 
  "voted_on": true
}

Showing all currently unreviewed contributions in a table, as seen here. Made specifically for contributors to see if their contribution was added to the spreadsheet.

Retrieves posts from the database and returns them. Multiple query parameters can be used for this, as will be described in the usage section below. This was implemented using webargs to parse the arguments and Flask-RESTful to create the actual endpoint, as seen in the code snippet below

from flask import Flask, jsonify, render_template
from flask_restful import Resource, Api
from webargs import fields, validate
from webargs.flaskparser import use_args, use_kwargs, parser, abort

app = Flask(__name__)
api = Api(app)

class ContributionResource(Resource):
    """
    Endpoint for contributions in the spreadsheet.
    """
    query_parameters = {
        "category": fields.Str(),
        "status": fields.Str(),
        "author": fields.Str(),
        "moderator": fields.Str(),
        "staff_picked": fields.Bool()
    }

    @use_args(query_parameters)
    def get(self, query_parameters):
        """
        Uses the given query parameters to search for contributions in the
        database.
        """
        contributions = [json.loads(json_util.dumps(without_score(c)))
                         for c in DB.contributions.find(query_parameters)]
        return jsonify(contributions)

As you can see it's pretty straightforward to implement!

Retrieves contributions made in the last 7 days from the given date and calculates some statistics about it, as seen here. This includes e.g. the average score a moderator gave that week, the average payout for contributions in a specific category, the staff picks about that week etc.

An example of statistics given for the development category is shown below

{
  "average_payout": 101.59276712328769, 
  "average_score": 47.71917808219178, 
  "average_utopian_vote": 126.23418697612053, 
  "category": "development", 
  "moderators": [
    [
      "amosbastian", 
      26
    ], 
    [
      "codingdefined", 
      19
    ], 
    [
      "gregory.latinier", 
      11
    ], 
    ...
  ], 
  "not_voted": 16, 
  "pct_voted": 78.08219178082192, 
  "reviewed": 73, 
  "rewarded_contributors": [
    [
      "dumar022", 
      2
    ], 
    [
      "bflanagin", 
      2
    ], 
    [
      "semasping", 
      2
    ],
    ...
  ], 
  "total_payout": 7416.272000000001, 
  "unvoted": 1, 
  "utopian_total": 7195.3486576388705, 
  "voted": 57
}

Generates a template that can be used for the Weekly Top of Utopian posts (e.g. this one), as seen here. This includes all staff picks in the given week and a short overview of post statistics as seen below

# Utopian.io Post Statistics

The staff picked contributions are only a small (but exceptional) example of the mass of contributions reviewed and rewarded by Utopian.io.

* Overall, the last week saw a total of 717 posts, with 267 of them rewarded through an upvote by @utopian-io.
* In total, Utopian.io distributed an approximate of 17259.87 SBD to contributors.
* The highest payout seen on any Utopian.io contribution this week was 1120.537 SBD, with a total of 1263 votes received from the community.
* The contribution that attracted the most engagement was <a href='https://steemit.com/utopian-io/@asbear/steempay-0-3-0-release-supporting-seven-more-currencies-usd-eur-gbp-jpy-cny-php-myr'>SteemPay 0.3.0 Release - Supporting seven more currencies (USD, EUR, GBP, JPY, CNY, PHP, MYR)</a>, with no less than 344 comments in its comment threads.
* The average vote given by Utopian.io was worth 64.64 SBD.

# Category Statistics

|Category|Reviewed|Rewarded|Total rewards|Top contributor|
|:-|:-|:-|-:|:-|
|graphics|47|31|3366.65 SBD|@nunojesus|
|bug-hunting|487|128|3350.78 SBD|@neupanedipen|
|development|73|57|7195.35 SBD|@dumar022|
|tutorials|53|22|1496.95 SBD|@edetebenezer|
|analysis|11|6|665.93 SBD|@abh12345|
|ideas|16|3|66.67 SBD|@jubreal|
|video-tutorials|13|9|862.52 SBD|@omersurer|
|blog|4|3|184.31 SBD|@moisesmcardona|

Simply send a GET request to e.g. https://utopian.rocks/api/statistics/2018-05-24 or https://utopian.rocks/api/statistics/today and you will get the statistics from 2018-05-17 to 2018-05-24 back. It uses dateutil.parser to parse the date, so the date can be in whatever format it recognises.

Same as above, except you currently can't specify a specific date.

Not sure, as the sheet will hopefully not be used for that long. I will probably want to add the following

• More query parameters
• Add date range to /api/statistics
• Add user statistics
• Add date range to /weekly
• Think of more statistics that could be interesting
• ...

• Python
• Flask
• MongoDB

If you want to contribute, then please read CONTRIBUTING.md for more information.