Sample Python for running a full-text search using PyMongo

runsearch.py

from pymongo import Connection

if __name__ == '__main__':
  
  # Connect to mongo
  conn = Connection()
  db = conn['canepi']
  
  # Set the search term
  term = 'foo'
  
  # Run the search
  results = db.command('text', 'healthmap', search=term)
  
  # Print the results
  print(results)

What about mongo 3.x version?
I have this: pymongo.errors.OperationFailure: command SON([('text', '...'), ('search', '...')]) on namespace ....$cmd failed: no such command: text

For pymongo against mongodb 3.2...

Given a collection of documents like

{'textfield': 'cool stuff in a doc',  'other': 'fields...'}

To perform the query, and get results sorted by the textual score:

db.my_collection.create_index([('textfield','text')])

cursor = db.my_collection.find(
    {'textfield': 'some string query'},
    {'_txtscr': {'$meta': 'textScore'}
).sort([('_txtscr', {'$meta':'textScore'})])

@nod that only searches for an exact string match with the entire text, and not substrings as the $text command specifies.

I just explored for 3.2 and this should work:

import pymongo

client = pymongo.MongoClient()
db = client['some_db']
collection = db["some_collection"]

collection.insert({"textfield": "cool stuff in a doc"})
collection.create_index([('textfield', 'text')])

search_this_string = "stuff"
print collection.find({"$text": {"$search": search_this_string}}).count()

thanks @legel! Super helpful!

thanks @legel!

Awesome @legel!

how to do multiple text search, for eg: search for word1 and word2 together in the text sentence?

@saamkhya
I ended up with the following for scoring the documents with multiple words:

cursor = collection.find(
            {'$text': {'$search': 'some words'}},
            {'score': {'$meta': 'textScore'}})

        # Sort by 'score' field.
        cursor.sort([('score', {'$meta': 'textScore'})])

Make sure you index the collection first.

Source: https://github.com/mongodb/mongo-python-driver/blob/master/pymongo/cursor.py#L658