Create sample DB on Elasticsearch to showcase decay function over publication date

create_recent_articles.sh

curl -XDELETE http://localhost:9200/blog

curl -XPUT http://localhost:9200/blog -d '{
    "settings" : {
        "index" : {
            "number_of_shards" : 1,
            "number_of_replicas" : 0
        }
    },
    "mapping": {
        "posts": {
            "properties": {
                "title": "string",
                "published": "date"
            } 
        }
    }
}'

curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "My Python code is slow? Tips for profiling",
    "published": "2015-01-05"
}'

curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Searching PubMed with Python",
    "published": "2015-01-12"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Sentiment Analysis with Python and scikit-learn",
    "published": "2015-01-19"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Stemming, Lemmatisation and POS tagging with Python and NLTK",
    "published": "2015-01-26"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "How to query Elasticsearch with Python",
    "published": "2015-02-02"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "PyData London Meetup 2015-02-03",
    "published": "2015-02-03"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Phrase Match and Proximity search in Elasticsearch",
    "published": "2015-02-09"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Fuzzy String Matching in Python",
    "published": "2015-02-25"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Mining Twitter Data with Python (Part 1: Collecting Data)",
    "published": "2015-03-02"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Mining Twitter Data with Python (Part 2: Text pre-processing)",
    "published": "2015-03-09"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Mining Twitter Data with Python (Part 3: Term Frequencies)",
    "published": "2015-03-17"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Mining Twitter Data with Python (Part 4: Rugby and Term Co-occurrencies)",
    "published": "2015-03-23"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Mining Twitter Data with Python (Part 5: Data Visualisation Basics)",
    "published": "2015-04-01"
}'
curl -XPOST http://localhost:9200/blog/posts -d '{
    "title": "Getting started with Neo4j and Python",
    "published": "2015-04-06"
}'