1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
use crate::error::Result;
use crate::state::State;
use futures::future::join_all;
use fuzzy_matcher::{
    skim::{SkimMatcherV2, SkimScoreConfig},
    FuzzyMatcher,
};
use std::borrow::Cow;
use std::cmp::{Ordering, PartialOrd};
use tokio::task::spawn_blocking;

const MID_SCORE: i64 = 800; // TODO: 好好決定這個魔法數字
const EXACXT_SCORE: i64 = std::i64::MAX / 1000; // 代表「完全相符」時的分數

fn is_multifuzz(score: i64, best_score: i64) -> bool {
    best_score - score < 2 // 吃掉「正常排序就命中」的差異
}

#[derive(Debug)]
pub enum FuzzResult<T> {
    High(T),
    Low(T),
    Multi {
        ans: T,
        others: Vec<T>,
        still_others: Vec<T>,
    },
}
pub use FuzzResult::*;
impl<T> FuzzResult<T> {
    fn new_single(ans: T, score: FuzzScore) -> Self {
        let score = score.score * 100 / score.len as i64;
        match score {
            0..=MID_SCORE => Low(ans),
            _ => High(ans),
        }
    }
    fn new_multi(ans: T, others: Vec<T>, still_others: Vec<T>) -> Self {
        Multi {
            ans,
            others,
            still_others,
        }
    }
    pub fn get_ans(self) -> T {
        match self {
            High(t) => t,
            Low(t) => t,
            Multi { ans, .. } => ans,
        }
    }
}

static MATCHER: State<SkimMatcherV2> = State::new();

pub trait FuzzKey {
    fn fuzz_key(&self) -> Cow<'_, str>;
}
impl<T: AsRef<str>> FuzzKey for T {
    fn fuzz_key(&self) -> Cow<'_, str> {
        Cow::Borrowed(self.as_ref())
    }
}

#[derive(Copy, Clone)]
struct MyRaw<T>(T);
unsafe impl<T> Send for MyRaw<T> {}
impl MyRaw<*const str> {
    fn new(s: &str) -> MyRaw<*const str> {
        MyRaw(s as *const str)
    }
    unsafe fn get(&self) -> &str {
        &*self.0
    }
}

enum MyCow {
    Borrowed(MyRaw<*const str>),
    Owned(String),
}
impl MyCow {
    fn new(s: Cow<'_, str>) -> Self {
        match s {
            Cow::Borrowed(s) => MyCow::Borrowed(MyRaw::new(s)),
            Cow::Owned(s) => MyCow::Owned(s),
        }
    }
    unsafe fn get(&self) -> &str {
        match self {
            MyCow::Borrowed(s) => s.get(),
            MyCow::Owned(s) => &*s,
        }
    }
}

#[derive(Default, PartialEq, Eq, Debug, Clone, Copy)]
pub struct FuzzScore {
    len: usize,
    score: i64,
}
impl FuzzScore {
    fn is_default(&self) -> bool {
        self.len == 0
    }
}
impl PartialOrd for FuzzScore {
    fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
        match self.score.cmp(&other.score) {
            Ordering::Equal => Some(other.len.cmp(&self.len)),
            res @ _ => Some(res),
        }
    }
}
impl Ord for FuzzScore {
    fn cmp(&self, other: &Self) -> Ordering {
        self.partial_cmp(other).unwrap()
    }
}
pub async fn fuzz<'a, T: FuzzKey + Send + 'a>(
    name: &str,
    iter: impl Iterator<Item = T>,
    sep: &str,
) -> Result<Option<FuzzResult<T>>> {
    fuzz_with_multifuzz_ratio(name, iter, sep, 1.0).await
}

pub async fn fuzz_with_multifuzz_ratio<'a, T: FuzzKey + Send + 'a>(
    name: &str,
    iter: impl Iterator<Item = T>,
    sep: &str,
    multifuzz_ratio: f64,
) -> Result<Option<FuzzResult<T>>> {
    let raw_name = MyRaw::new(name);
    let mut data_vec: Vec<_> = iter.map(|t| (FuzzScore::default(), t)).collect();
    let sep = MyRaw::new(sep);

    crate::set_once!(MATCHER, || {
        let mut conf = SkimScoreConfig::default();
        conf.bonus_consecutive *= 4;
        SkimMatcherV2::default().score_config(conf)
    });

    let score_fut = data_vec.iter_mut().map(|(score, data)| {
        let key = MyCow::new(data.fuzz_key());
        let score_ptr = MyRaw(score as *mut _);
        spawn_blocking(move || {
            // SAFTY: 等等就會 join,故這個函式 await 完之前都不可能釋放這些字串
            let key = unsafe { key.get() };
            let score = my_fuzz(key, unsafe { raw_name.get() }, unsafe { sep.get() });

            if let Some(score) = score {
                let len = key.chars().count();
                // SAFETY: 怎麼可能有多個人持有同個元素的分數
                assert_ne!(len, 0);
                unsafe {
                    *score_ptr.0 = FuzzScore { score, len };
                }
            }
        })
    });

    join_all(score_fut).await;
    // NOTE: 算分數就別平行做了,不然要搞原子性,可能得不償失
    let best_score = data_vec
        .iter()
        .map(|(score, _)| *score)
        .max()
        .unwrap_or_default();

    if best_score.is_default() {
        log::info!("模糊搜沒搜到東西 {}", name);
        return Ok(None);
    }

    let best_score_normalized = (best_score.score as f64 * multifuzz_ratio) as i64;

    let mut ans = None;
    let mut multifuzz_vec = vec![];
    let mut secondary_multifuzz_vec = vec![];
    for (score, data) in data_vec.into_iter() {
        if score == best_score && ans.is_none() {
            ans = Some(data);
        } else if is_multifuzz(score.score, best_score.score) {
            log::warn!("找到一個分數相近者:{} {:?}", data.fuzz_key(), score);
            multifuzz_vec.push(data);
        } else if is_multifuzz(score.score, best_score_normalized) {
            log::warn!("找到一個分數稍微相近者:{} {:?}", data.fuzz_key(), score);
            secondary_multifuzz_vec.push(data);
        }
    }

    let ans = ans.unwrap();
    if multifuzz_vec.is_empty() && secondary_multifuzz_vec.is_empty() {
        log::info!("模糊搜到一個東西 {}", ans.fuzz_key());
        Ok(Some(FuzzResult::new_single(ans, best_score)))
    } else {
        log::warn!(
            "模糊搜到太多東西,主要為結果為 {} {:?}",
            ans.fuzz_key(),
            best_score
        );
        Ok(Some(FuzzResult::new_multi(
            ans,
            multifuzz_vec,
            secondary_multifuzz_vec,
        )))
    }
}

// TODO: 把這些 sep: &str 換成標準庫的 Pattern

pub fn is_prefix(prefix: &str, target: &str, sep: &str) -> bool {
    if prefix.len() > target.len() {
        return false;
    }

    let mut found = false;
    foreach_reorder(target, sep, &mut |t| {
        foreach_reorder(prefix, sep, &mut |p| {
            if t.starts_with(p) {
                found = true;
            }
            found
        });
        found
    });

    found
}

fn my_fuzz(choice: &str, pattern: &str, sep: &str) -> Option<i64> {
    if choice == pattern {
        return Some(EXACXT_SCORE);
    }
    let mut ans_opt = None;
    let mut first = true;
    foreach_reorder(choice, sep, &mut |choice_reordered| {
        let score_opt = MATCHER.get().fuzzy_match(choice_reordered, pattern);
        log::trace!(
            "模糊搜尋,候選者:{},重排列成:{},輸入:{},分數:{:?}",
            choice,
            choice_reordered,
            pattern,
            score_opt,
        );
        if let Some(mut score) = score_opt {
            if first {
                // NOTE: 正常排序的分數會稍微高一點
                // 例如 [a/b, b/a] 中要找 `a/b`,則前者以分毫之差勝出
                score += 1;
                log::trace!(
                    "模糊搜尋,候選者:{},正常排序就命中,分數略提升為 {}",
                    choice,
                    score
                );
            }
            if let Some(ans) = ans_opt {
                ans_opt = Some(std::cmp::max(score, ans));
            } else {
                ans_opt = Some(score);
            }
        }
        first = false;
    });
    ans_opt
}

trait StopIndicator: Default {
    fn should_stop(&self) -> bool {
        false
    }
}
impl StopIndicator for () {}
impl StopIndicator for bool {
    fn should_stop(&self) -> bool {
        *self
    }
}
fn foreach_reorder<S: StopIndicator, F: FnMut(&str) -> S>(
    choice: &str,
    sep: &str,
    handler: &mut F,
) {
    fn recursive_reorder<'a, S: StopIndicator, F: FnMut(&str) -> S>(
        choice_arr: &[&'a str],
        mem: &mut Vec<bool>,
        reorderd: &mut Vec<&'a str>,
        sep: &str,
        handler: &mut F,
    ) -> S {
        if reorderd.len() == mem.len() {
            let new_str = reorderd.join(sep);
            handler(&new_str)
        } else {
            for i in 0..mem.len() {
                if mem[i] {
                    continue;
                }
                mem[i] = true;
                reorderd.push(choice_arr[i]);
                let indicator = recursive_reorder(choice_arr, mem, reorderd, sep, handler);
                if indicator.should_stop() {
                    return indicator;
                }
                reorderd.pop();
                mem[i] = false;
            }
            Default::default()
        }
    }

    let choice_arr: Vec<_> = choice.split(sep).collect();
    let mut mem = vec![false; choice_arr.len()];
    let mut reorederd = Vec::<&str>::with_capacity(mem.len());
    recursive_reorder(&choice_arr, &mut mem, &mut reorederd, sep, handler);
}

#[cfg(test)]
mod test {
    use super::*;

    fn extract_multifuzz<'a>(res: FuzzResult<&'a str>) -> (&'a str, Vec<&'a str>) {
        match res {
            Multi { ans, others, .. } => {
                let mut ret = vec![];
                ret.push(ans);
                for data in others.into_iter() {
                    ret.push(data);
                }
                ret.sort();
                (ans, ret)
            }
            _ => unreachable!("{:?}", res),
        }
    }
    fn extract_high<'a>(res: FuzzResult<&'a str>) -> &'a str {
        match res {
            High(t) => t,
            _ => unreachable!("{:?}", res),
        }
    }
    async fn do_fuzz<'a>(name: &'a str, v: &'a Vec<&'a str>) -> Option<FuzzResult<&'a str>> {
        fuzz(name, v.iter().map(|s| *s), ":").await.unwrap()
    }
    #[tokio::test(flavor = "multi_thread")]
    async fn test_fuzz() {
        let _ = env_logger::try_init();
        let t1 = "測試腳本1";
        let t2 = "測試腳本2";
        let t3 = ".42";
        let t4 = "測腳本4試";
        let vec = vec![t1, t2, t3, t4];

        let res = do_fuzz("測試1", &vec).await.unwrap();
        assert_eq!(extract_high(res), t1);

        let res = do_fuzz("42", &vec).await.unwrap();
        assert_eq!(extract_high(res), t3);

        let res = do_fuzz("找不到", &vec).await;
        assert!(res.is_none());

        let res = do_fuzz("測試", &vec).await.unwrap();
        let (ans, v) = extract_multifuzz(res);
        assert_eq!(v, vec!["測試腳本1", "測試腳本2"]);
        assert_eq!(ans, "測試腳本1"); // 真的同分,只好以順序決定了
    }
    #[tokio::test(flavor = "multi_thread")]
    async fn test_fuzz_with_len() {
        let _ = env_logger::try_init();
        let t1 = "測試腳本1";
        let t2 = "測試腳本23456";
        let vec = vec![t1, t2];
        let res = do_fuzz("測試", &vec).await.unwrap();
        let (ans, v) = extract_multifuzz(res);
        assert_eq!(ans, "測試腳本1");
        assert_eq!(v, vec);
    }
    #[tokio::test(flavor = "multi_thread")]
    async fn test_reorder_fuzz() {
        let _ = env_logger::try_init();
        let t1 = "a:c";
        let t2 = "b:a";
        let t3 = "a:b";
        let vec = vec![t1, t2, t3];

        let res = do_fuzz("ab", &vec).await.unwrap();
        let (ans, v) = extract_multifuzz(res);
        assert_eq!(ans, "a:b");
        assert_eq!(v, vec!["a:b", "b:a"]);

        let res = do_fuzz("ba", &vec).await.unwrap();
        let (ans, v) = extract_multifuzz(res);
        assert_eq!(ans, "b:a");
        assert_eq!(v, vec!["a:b", "b:a"]);

        let res = do_fuzz("ca", &vec).await.unwrap();
        assert_eq!(extract_high(res), "a:c");

        let res = do_fuzz("a", &vec).await.unwrap();
        let (ans, v) = extract_multifuzz(res);
        assert_eq!(ans, "a:c"); // 真的同分,只好以順序決定了
        assert_eq!(v, vec!["a:b", "a:c", "b:a"]);
    }
    #[test]
    fn test_reorder() {
        let arr = "aa::bb::cc";
        let mut buffer = vec![];
        foreach_reorder(arr, "::", &mut |s| {
            buffer.push(s.to_owned());
        });
        buffer.sort();
        assert_eq!(
            vec![
                "aa::bb::cc",
                "aa::cc::bb",
                "bb::aa::cc",
                "bb::cc::aa",
                "cc::aa::bb",
                "cc::bb::aa"
            ],
            buffer
        );
    }
    #[test]
    fn test_is_prefix() {
        let sep = "::";
        assert!(is_prefix("aa", "aabb", sep));
        assert!(is_prefix("aa::bb", "bb::cc::aa", sep));
        assert!(is_prefix("c", "bb::cc::aa", sep));
        assert!(is_prefix("aa::bb", "bb::aa1", sep));

        assert!(is_prefix("aa::b", "bb::cc::aa", sep));
        assert!(is_prefix("a::bb", "bb::cc::aa", sep));

        assert!(!is_prefix("abb", "aabb", sep));
        assert!(!is_prefix("aabb", "aa::bb", sep));

        assert!(!is_prefix("aa::bb::cc", "aa::bb", sep));
        assert!(!is_prefix("aa::dd", "bb::cc::aa", sep));
    }
}