How to make it work on MacOS?

[fmmsilva]

Got this error:

159 error In file included from ../src/bson.cc:41:
159 error ../src/bson.h:182:92: error: too few arguments to function call, single argument 'isolate' was not specified
159 error void WriteLengthPrefixedString(const Local& value) { WriteInt32(value->Utf8Length()+1); WriteString(value); }
159 error void WriteDouble(const Local& object, const Local&
159 error
~~~~~~~~~~~~~~~~~~ ^
159 error /Users/fmmsilva/.node-gyp/15.4.0/include/node/v8.h:2907:3: note: 'NumberValue
' declared here
159 error V8_WARN_UNUSED_RESULT Maybe NumberValue(Local context) con
st;

[radekstepan]

CoffeeScript is out of date. I'll appreciate a PR to fix.

In the meantime, here's the same code in JS:

var Minimatch, TfIdf, _;

({Minimatch} = require('minimatch'));

({TfIdf} = require('natural'));

_ = require('lodash');

module.exports = function(opts) {
  var index, mm, tfidf;
  if (opts == null) {
    opts = {};
  }
  if (opts.pattern == null) {
    opts.pattern = '**/*.md';
  }
  if (opts.max == null) {
    opts.max = 5;
  }
  if (opts.terms == null) {
    opts.terms = 5;
  }
  if (opts.threshold == null) {
    opts.threshold = 0;
  }
  if (opts.text == null) {
    opts.text = function(doc) {
      return String(doc.contents);
    };
  }
  mm = new Minimatch(opts.pattern);
  tfidf = new TfIdf();
  index = [];
  return function(files, metalsmith, done) {
    var doc, freq, i, j, k, key, ref, related, term, terms, top;
    for (key in files) {
      doc = files[key];
      if (!(mm.match(key))) {
        continue;
      }
      index.push(key);
      tfidf.addDocument(opts.text(doc));
    }
    for (i = k = 0, ref = index.length; (0 <= ref ? k < ref : k > ref); i = 0 <= ref ? ++k : --k) {
      terms = tfidf.listTerms(i);
      top = (function() {
        var l, len, ref1, results;
        ref1 = terms.slice(0, Math.min(opts.terms, terms.length));
        results = [];
        for (l = 0, len = ref1.length; l < len; l++) {
          ({term} = ref1[l]);
          results.push(term);
        }
        return results;
      })();
      related = _((function() {
        var l, len, ref1, results;
        ref1 = tfidf.tfidfs(top);
        results = [];
        for (j = l = 0, len = ref1.length; l < len; j = ++l) {
          freq = ref1[j];
          if (j !== i && freq > opts.threshold) {
            results.push({freq, j});
          }
        }
        return results;
      })()).sortBy('freq').map('j').value().reverse().map(function(j) {
        return files[index[j]];
      });
      if (related.length) {
        files[index[i]].related = related.slice(0, Math.min(opts.max, related.length));
      }
    }
    return done();
  };
};