Fix #36: Remove 'SCORE_THRESHOLD' const from config.js.

This const was not actually needed by more than one file, which simplifies how 'trainees.js' and its imported scripts are used for training.

src/config.js

@@ -16,6 +16,3 @@ export const PRICE_CHECK_TIMEOUT_INTERVAL = 1000 * 60 * 15; // 15 minutes
 
 /** Delay before removing iframes created during price checks */
 export const IFRAME_TIMEOUT = 1000 * 60; // 1 minute
-
-// Minimum score to be considered the "correct" feature element extracted by Fathom
-export const SCORE_THRESHOLD = 4;

src/extraction/fathom_extraction.js

@@ -12,9 +12,10 @@
 
 import defaultCoefficients from 'commerce/extraction/fathom_default_coefficients.json';
 import RulesetFactory from 'commerce/extraction/ruleset_factory';
-import {SCORE_THRESHOLD} from 'commerce/config';
 
 const PRODUCT_FEATURES = ['title', 'price', 'image'];
+// Minimum score to be considered the "correct" feature element extracted by Fathom
+const SCORE_THRESHOLD = 4;
 // Array of numbers corresponding to the coefficients in order
 const coefficients = RulesetFactory.getCoeffsInOrder(defaultCoefficients);
 // For production, we don't need to generate a new ruleset factory

src/extraction/ruleset_factory.js

@@ -12,9 +12,6 @@ import {dom, out, rule, ruleset, score, type} from 'fathom-web';
 // Since the fathom-trainees add-on currently uses a submodule of Fathom, for
 // training, replace 'utils' with 'utilsForFrontend'
 import {ancestors} from 'fathom-web/utils';
-// relative URLs are needed for training, as the 'commerce' alias doesn't exist
-// in that context
-import {SCORE_THRESHOLD} from '../config';
 
 const DEFAULT_BODY_FONT_SIZE = 14;
 const DEFAULT_SCORE = 1;
@@ -296,8 +293,6 @@ export default class RulesetFactory {
       rule(dom('h1').when(this.isEligibleTitle.bind(this)), type('titleish')),
       // better score based on y-axis proximity to max scoring image element
       rule(type('titleish'), score(this.isNearbyImageYAxisTitle.bind(this))),
-      // since no further rules are needed for title, give all inputs the minimum score
-      rule(type('titleish'), score(() => SCORE_THRESHOLD)),
       // return title element(s) with max score
       rule(type('titleish').max(), out('title')),
 

src/extraction/trainees.js

@@ -3,9 +3,8 @@
  * file, You can obtain one at http://mozilla.org/MPL/2.0/. */
 
 /* eslint-disable import/no-unresolved */
-// This file is moved up a level to the ./src folder for training
-import defaultCoefficients from './extraction/fathom_default_coefficients.json';
-import RulesetFactory from './extraction/ruleset_factory';
+import defaultCoefficients from './fathom_default_coefficients.json';
+import RulesetFactory from './ruleset_factory';
 
 // Array of numbers corresponding to the coefficients in order
 const coeffs = RulesetFactory.getCoeffsInOrder(defaultCoefficients);
@@ -22,9 +21,9 @@ const coeffs = RulesetFactory.getCoeffsInOrder(defaultCoefficients);
  *
  * How to train:
  *  1. Fork the `mozilla/fathom-trainees` repo,
- *  2. In the `fathom-trainees` add-on, copy this file and `config.js` over to the
- *  `./src` folder, and copy `./extraction/fathom_default_coefficients.json` and
- *  `./extraction/ruleset_factory.js` to a new `./src/extraction` subfolder.
+ *  2. In the `fathom-trainees` add-on, copy this file,
+ * `./extraction/fathom_default_coefficients.json` and
+ * `./extraction/ruleset_factory.js` to the `./src` folder.
  *    * Note: You will have to replace 'utils' with 'utilsForFrontend' on the
  *      import in `ruleset_factory.js`. See that file for more information.
  *  3. Follow instructions at: https://github.com/erikrose/fathom-fox#the-trainer.