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refactor: Make dict processing logic testable
Previously all the dictionary cleanup logic was in the function: fn generate<W: std::io::Write>(file: &mut W, dict: &[u8]) which parsed the provided buffer as CSV and also took care of writing the processed dictionary back as CSV. This commit factors out the CSV handling, leaving a `process` function behind so that it can be easily tested in the following commit.
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parent
2fffb1bb2b
commit
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1 changed files with 62 additions and 33 deletions
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@ -9,38 +9,76 @@ type Dict = BTreeMap<UniCase<String>, BTreeSet<String>>;
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#[test]
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fn verify() {
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let asset_path = "assets/words.csv";
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let data = std::fs::read(asset_path).unwrap();
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let typos_dict = parse_dict(asset_path);
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let new_dict = process(typos_dict);
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let mut content = vec![];
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generate(&mut content, &data);
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let mut wtr = csv::WriterBuilder::new()
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.flexible(true)
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.from_writer(&mut content);
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for (typo, corrections) in new_dict {
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let mut row = vec![typo.as_str().to_owned()];
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row.extend(corrections);
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wtr.write_record(&row).unwrap();
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}
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wtr.flush().unwrap();
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drop(wtr);
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let content = String::from_utf8(content).unwrap();
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snapbox::assert_eq_path(asset_path, content);
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}
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fn generate<W: std::io::Write>(file: &mut W, dict: &[u8]) {
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let mut rows = Dict::new();
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csv::ReaderBuilder::new()
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fn parse_dict(path: &str) -> Vec<(String, Vec<String>)> {
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let data = std::fs::read(path).unwrap();
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let mut reader = csv::ReaderBuilder::new()
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.has_headers(false)
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.flexible(true)
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.from_reader(dict)
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.from_reader(&*data);
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reader
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.records()
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.into_iter()
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.map(Result::unwrap)
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.for_each(|r| {
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let mut i = r.iter();
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let mut typo = i.next().expect("typo").to_owned();
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typo.make_ascii_lowercase();
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let typo = UniCase::new(typo);
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rows.entry(typo)
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.map(|record| {
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let mut iter = record.into_iter();
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let typo = iter.next().expect("typo");
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(
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typo.to_owned(),
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iter.map(ToOwned::to_owned).collect::<Vec<_>>(),
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)
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})
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.collect()
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}
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fn dict_from_iter<S: Into<String>>(
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iter: impl IntoIterator<Item = (S, impl IntoIterator<Item = S>)>,
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) -> Dict {
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let mut dict = Dict::new();
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for (typo, corrections) in iter {
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let typo = UniCase::new(typo.into().to_ascii_lowercase());
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// duplicate entries are merged
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dict.entry(typo)
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.or_insert_with(BTreeSet::new)
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.extend(i.map(|c| {
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let mut c = c.to_owned();
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.extend(corrections.into_iter().map(|c| {
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let mut c = c.into();
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c.make_ascii_lowercase();
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c
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}));
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});
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}
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let rows: Dict = rows
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dict
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}
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fn process<S: Into<String>>(
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iter: impl IntoIterator<Item = (S, impl IntoIterator<Item = S>)>,
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) -> Dict {
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let dict = dict_from_iter(iter);
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let rows: Dict = dict
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.into_iter()
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.filter(|(t, _)| is_word(t))
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.filter_map(|(t, c)| {
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@ -95,8 +133,7 @@ fn generate<W: std::io::Write>(file: &mut W, dict: &[u8]) {
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.iter()
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.flat_map(|(bad, good)| good.iter().map(|good| (good.to_owned(), bad.to_owned())))
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.collect();
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let rows: Vec<_> = dict
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.into_iter()
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dict.into_iter()
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.filter(|(typo, _)| {
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if let Some(correction) = corrections.get(typo.as_str()) {
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eprintln!("{typo} <-> {correction} cycle detected");
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@ -105,15 +142,7 @@ fn generate<W: std::io::Write>(file: &mut W, dict: &[u8]) {
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true
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}
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})
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.collect();
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let mut wtr = csv::WriterBuilder::new().flexible(true).from_writer(file);
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for (typo, corrections) in rows {
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let mut row = vec![typo.as_str().to_owned()];
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row.extend(corrections);
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wtr.write_record(&row).unwrap();
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}
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wtr.flush().unwrap();
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.collect()
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}
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fn is_word(word: &str) -> bool {
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