How to Use

Installation

Make sure you have installed Alfred 3+.
Make sure you already purchased Powerpack, you have to buy powerpack to use Alfred Workflow feature.
Go to Release, download the latest afwf_fts_anything-${version}-macosx_universal.alfredworkflow. And double click to import to Alfred Workflow. Since this project only uses pure Python library (no C library), so it is universal for both Intel and ARM MacOS.

Go to Release. Find the latest release.
Download the movie.zip and uncompress it at ${HOME}/.alfred-afwf/afwf_fts_anything/. You should see:
- ${HOME}/.alfred-afwf/afwf_fts_anything/movie-setting.json
- ${HOME}/.alfred-afwf/afwf_fts_anything/movie-data.json
- ${HOME}/.alfred-afwf/afwf_fts_anything/movie-icon/
Type fts movie god father or fts movie drama in Alfred input box. The first command may fail because it takes time to build the index. The second command should work.

Make sure you understand How it Works.
Give your dataset a name. Let's say it is mydata.
Put your setting file at ${HOME}/.alfred-afwf/afwf_fts_anything/mydata-setting.json.
Put your data file at ${HOME}/.alfred-afwf/afwf_fts_anything/mydata-data.json.
Copy and paste the existing fts movie Script Filter, update the configuration accordingly. You must update the Keyword and update the dataset name in the Script.
Type fts mydata your_query_here in Alfred input to search.

Q: Why use json, why not CSV?
A: json provides more flexibility and compatible with multi-line text, which CSV usually not.
Q: Why it still returns old data after I updated the dataset?
A: Just delete the ${HOME}/.alfred-afwf/afwf_fts_anything/<dataset_name>-whoosh_index directory.