pymongo-basic-profiler

Each version of this package is quite closely tied to individual an pymongo version (or a small range of versions), as it relies on pymongo internals.

Supported pymongo version: 3.7.1

Supported operations:

• save
• delete_one
• delete_many
• insert
• insert_one
• find
• find_one
• remove
• replace_one
• update
• update_one

Unsupport operations

• insert_many

Example

import pymongo
from pymongo_basic_profiler import OpTracker

with OpTracker() as op_tracker:
    client = pymongo.MongoClient()
    db = client.test_optracker_db
    db.people.insert({'name': 'Jane Doe', 'email': 'jane@example.org'})
    db.people.find_one({'email': 'jane@example.org'})
    db.people.find_one({'name': 'Jane Doe'})
    assert len(op_tracker.inserts) == 1
    assert len(op_tracker.queries) == 2
    assert op_tracker.queries[0]['result'] == [
        {
            '_id': ObjectId('5ba3635b037b306569dce4bf'),
            'name': 'Jane Doe',
            'email': 'jane@example.org',
        }
    ]

Found a similar project?

I have not been able to find a project that does the same. If you find one -- please let me know. There's most likely no reason to maintain two libraries with the same purpose.

Projects with internals similar to this one

The following projects also monkey patch pymongo in order to track queries:

• Flask Debug Toolbar MongoDB Panel
• mongodog
• mongomock_mate-project