Reputation: 2938
I have a set of conditions that I need to use to retrieve some data from a mongodb database (using pymongo). Some of these conditions are optional, and others may have more than one possible value.
I'm wondering if there is a way of 'dynamically' constructing a pymongo query based on these conditions (instead of creating individual queries for each possible combination of conditions).
For example, assume that I have one query which has to be constrained to the following conditions:
tag
contains any of this
, is
, a
, tag
user
is johnsmith
date_published
is before today
...whereas another query may only be constrained to the following:
user
is johnsmith
date_published
is after today
Summary: Instead of having to create every possible combination of conditions, is there a way of stringing conditions together to form a query in pymongo?
Upvotes: 1
Views: 1273
Reputation: 26278
A PyMongo query is just a Python dictionary, so you can use all the usual techniques to build one on the fly:
def find_things(tags=None, user=None, published_since=None):
# all queries begin with something common, which may
# be an empty dict, but here's an example
query = {
'is_published': True
}
if tags:
# assume that it is an array of strings
query['tags'] = {'$in': tags}
if user:
# assume that it is a string
query['user'] = user
if published_since:
# assume that it is a datetime.datetime
query['date_published'] = {'$gte': published_since}
# etc...
return db.collection.find(query)
The actual logic you implement is obviously dependent on what you want to vary your find calls by, these are just a few examples. You will also want to validate the input if it is coming from an untrusted source (e.g. a web application form, URL parameters, etc).
Upvotes: 5