Querying ElasticSearch with Python Requests not working fine

Question

I'm trying to do full-text search on a mongodb db with the Elastic Search engine but I ran into a problem: no matters what search term I provide(or if I use query1 or query2), the engine always returns the same results. I think the problem is in the way I make the requests, but I don't know how to solve it.

Here is the code:

def search(search_term):
    query1 = {
        "fuzzy" : {
            "art_text" : {
                "value" : search_term,
                "boost" : 1.0,
                "min_similarity" : 0.5,
                "prefix_length" : 0
            }
        },
        "filter": {
            "range" : {
                "published": {
                    "from" : "20130409T000000",
                    "to": "20130410T235959"
                }
            }
        }
    }
    query2 = {
        "match_phrase": { "art_text": search_term }
    }

    es_query = json.dumps(query1)
    uri = 'http://localhost:9200/newsidx/_search'
    r = requests.get(uri, params=es_query)
    results = json.loads( r.text )
    data = [res['_source']['api_id'] for res in results['hits']['hits'] ]
    print "results: %d" % len(data)
    pprint(data)

Answer 1

The params parameter is not for data being sent. If you're trying to send data to the server you should specifically be using the data parameter. If you're trying to send query parameters, then you shouldn't be JSON-encoding them and just give it to params as a dict.

I suspect your first request should be the following:

r = requests.get(uri, data=es_query)

And before someone downvotes me, yes the HTTP/1.1 spec allows data to be sent with GET requests and yes requests does support it.