Grepping through the reviewers list to find matches

reviewer_match.py

import csv 

from tabulate import tabulate 
from operator import itemgetter 
from collections import Counter 


def parse_inner_csv(val):
    return list(
        map(lambda s: s.strip(), val.lower().split(","))
    )


def rank_for_row(row):
    score = 0 
    ppl = parse_inner_csv(row['Preferred Programming Languages']) 
    if ppl[0] == 'python':
        score += 1 
    if 'python' in ppl:
        score += 1 
    
    key_topics = (
        'machine learning', 'data visualization', 'visualization', 'data science', 'plotting', 'plotting in python', 
        'visualisations', 'data visualisation', 'visualisations', 'information visualization', 'graphs', 'viz', 
        'machine-learning', 'scientific writing tools', 'statistics/data science', 
    )
    topics = parse_inner_csv(row['Domains/topic areas you are comfortable reviewing']) 
    if topics[0] in key_topics:
        score += 1 

    for key_topic in key_topics:
        if key_topic in topics:
            score += 1 

    return score 

    

def get_ranked_reviewers(path='joss_reviewers - reviewers.csv'):
    with open(path, 'r') as f:
        reader = csv.DictReader(f)
        return sorted([
            (rank_for_row(row), row)
            for row in reader
        ], key=itemgetter(0), reverse=True)


def unique_topics(path='joss_reviewers - reviewers.csv'):
    with open(path, 'r') as f:
        reader = csv.DictReader(f)
        topics = Counter() 
        for row in reader:
            for topic in parse_inner_csv(row['Domains/topic areas you are comfortable reviewing']):
                topics[topic] += 1 

    return topics 

            

if __name__ == "__main__":
    #topics = unique_topics() 
    #for topic, count in topics.most_common():
    #    print(count, topic)
    

    table = [["Rank", "Reviewer", "Email", "Programming Langauges", "Topics"]]

    for idx, (rank, row) in enumerate(get_ranked_reviewers()):
        if rank < 2 or idx > 50:
            break

        table.append([
            rank, row['GitHub Username'], row['email'], 
            row['Preferred Programming Languages'][:10], 
            row['Domains/topic areas you are comfortable reviewing'][:70], 
        ])


    print(tabulate(table, headers='firstrow', tablefmt='simple'))