I need fast text-search on a large (not huge, let's say 30k records
totally) list of items. Here's a sample of my raw data (a list of US
cars: model and make)
$ head all_cars_unique.csv\
Acura,CL
Acura,ILX
Acura,Integra
Acura,Legend
Acura,MDX
Acura,MDX Sport Hybrid
Acura,NSX
Acura,RDX
Acura,RL
Acura,RLX
$ wc -l all_cars_unique.csv
1415 all_cars_unique.csv
$ grep -i v60 all_cars_unique.csv
Genesis,GV60
Volvo,V60
$
Essentially, I want my input field to suggest autofill options with data
from this file/list. The user types "v60" and a REST point will offer:
[
{"model":"GV60", "manufacturer":"Genesis"},
{"model":"V60", "manufacturer":"Volvo"}
]
i.e. a JSON response that I can use to generate the autofill with
JavaScript. My Back-End is Python (Flask).
How can I implement this? A library called Whoosh seems very promising
(albeit it's so feature-rich that it's almost like shooting a fly with a
bazooka in my case), but I see two problems:
1) Whoosh is either abandoned or the project is a mess in terms of
community and support (https://groups.google.com/g/whoosh/c/QM_P8cGi4v4
) and
2) Whoosh seems to be a Python only thing, which is great for now, but
I wouldn't want this to become an obstacle should I need port it to a
different language at some point.
are there other options that are fast out there? Can I "grep" through a
data structure in python... but faster?
Thanks
Dino
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