Python elasticsearch范围查询

Question

I know that there are several alternative elasticsearch clients for python beyond this one . However, I do not have access to those. How can I write a query that has a 'less than or equal' logic for a timestamp? My current way of doing this is:

query = group_id:" + gid + '" AND data_model.fields.price:' + price
less_than_time = # datetime object
data = self.es.search(index=self.es_index, q=query, size=searchsize)
hits = data['hits']['hits']
results = []
for hit in hits:
    time = datetime.strptime(hit['_source']['data_model']['utc_time'], time_format)
    dt = abs(time - less_than_time).seconds
    if dt <= 0:
        results.append(hit)

This is a really clumsy way of doing it. Is there a way I can keep my query generation using strings and include a range?

Answer 1

I have a little script that generates a query for me. The query however is in the json notation (which I believe the client can use).

here's my script:

#!/usr/bin/python

from datetime import datetime
import sys

RANGE = '"range":{"@timestamp":{"gte":"%s","lt":"%s"}}'
QUERY = '{"query":{"bool":{"must":[{"prefix": {"myType":"test"}},{%s}]}}}'

if __name__ == "__main__":
    if len(sys.argv) < 3:
        print "\nERROR: 2 Date arguments needed: From and To, for example:\n\n./range_query.py 2016-08-10T00:00:00.000Z 2016-08-10T00:00:00.000Z\n\n"
        sys.exit(1)
    try:
        date1 = datetime.strptime(sys.argv[1], "%Y-%m-%dT%H:%M:%S.%fZ")
        date2 = datetime.strptime(sys.argv[2], "%Y-%m-%dT%H:%M:%S.%fZ")

    except:
        print "\nERROR: Invalid dates. From: %s, To: %s" %(sys.argv[1], sys.argv[2]) + "\n\nValid date format: %Y-%m-%dT%H:%M:%S.%fZ\n"
        sys.exit(1)

    range_q = RANGE %(sys.argv[1], sys.argv[2])


    print(QUERY %(range_q))

The script also uses a bool query. It should be fairly easy to remove that and use only the time constraints for the range.

I hope this is what you're looking for.

This can be called and spits out a query such as:

./range_prefix_query.py.tmp 2016-08-10T00:00:00.000Z 2016-08-10T00:00:00.000Z
{"query":{"bool":{"must":[{"prefix": {"myType":"test"}},{"range":{"@timestamp":{"gte":"2016-08-10T00:00:00.000Z","lt":"2016-08-10T00:00:00.000Z"}}}]}}}

Artur

Answer 2

Take a look at https://elasticsearch-dsl.readthedocs.io/en/latest/

        s = Search()\
            .filter("term", **{"name": name})\
            .query(q)\
            .extra(**paging)