-
Notifications
You must be signed in to change notification settings - Fork 74
/
apply.rs
1195 lines (1074 loc) · 49.9 KB
/
apply.rs
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
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
static USAGE: &str = r#"
Apply a series of transformation functions to given CSV column/s. This can be used to
perform typical data-wrangling tasks and/or to harmonize some values, etc.
It has four subcommands:
1. operations* - 37 string, format, currency, regex & NLP operators.
2. emptyreplace* - replace empty cells with <--replacement> string.
3. dynfmt - Dynamically constructs a new column from other columns using
the <--formatstr> template.
4. calcconv - parse and evaluate math expressions, with support for units
and conversions.
* subcommand is multi-column capable.
OPERATIONS (multi-column capable)
Multiple operations can be applied, with the comma-delimited operation series
applied in order:
trim => Trim the cell
trim,upper => Trim the cell, then transform to uppercase
lower,simdln => Lowercase the cell, then compute the normalized
Damerau-Levenshtein similarity to --comparand
Operations support multi-column transformations. Just make sure the
number of transformed columns with the --rename option is the same. e.g.:
# trim and fold to uppercase the col1,col2 and col3 columns and rename them
# to newcol1,newcol2 and newcol3
$ qsv apply operations trim,upper col1,col2,col3 -r newcol1,newcol2,newcol3 file.csv
It has 36 supported operations:
* len: Return string length
* lower: Transform to lowercase
* upper: Transform to uppercase
* squeeze: Compress consecutive whitespaces
* squeeze0: Remove whitespace
* trim: Trim (drop whitespace left & right of the string)
* ltrim: Left trim whitespace
* rtrim: Right trim whitespace
* mtrim: Trims --comparand matches left & right of the string (Rust trim_matches)
* mltrim: Left trim --comparand matches (Rust trim_start_matches)
* mrtrim: Right trim --comparand matches (Rust trim_end_matches)
* strip_prefix: Removes specified prefix in --comparand
* strip_suffix: Remove specified suffix in --comparand
* escape - escape (Rust escape_default)
* encode64: base64 encode
* decode64: base64 decode
* replace: Replace all matches of a pattern (using --comparand)
with a string (using --replacement) (Rust replace)
* regex_replace: Replace all regex matches in --comparand w/ --replacement.
Specify <NULL> as --replacement to remove matches.
* titlecase - capitalizes English text using Daring Fireball titlecase style
https://daringfireball.net/2008/05/title_case
* censor: profanity filter. Add additional comma-delimited profanities with --comparand.
* censor_check: check if profanity is detected (boolean).
Add additional comma-delimited profanities with -comparand.
* censor_count: count of profanities detected.
Add additional comma-delimited profanities with -comparand.
* round: Round numeric values to the specified number of decimal places using
Midpoint Nearest Even Rounding Strategy AKA "Bankers Rounding."
Specify the number of decimal places with --formatstr (default: 3).
* thousands: Add thousands separators to numeric values.
Specify the separator policy with --formatstr (default: comma). The valid policies are:
comma, dot, space, underscore, hexfour (place a space every four hex digits) and
indiancomma (place a comma every two digits, except the last three digits).
The decimal separator can be specified with --replacement (default: '.')
* currencytonum: Gets the numeric value of a currency. Supports currency symbols
(e.g. $,¥,£,€,֏,₱,₽,₪,₩,ƒ,฿,₫) and strings (e.g. USD, EUR, RMB, JPY, etc.).
Recognizes point, comma and space separators.
* numtocurrency: Convert a numeric value to a currency. Specify the currency symbol
with --comparand. Automatically rounds values to two decimal places. Specify
"euro" formatting (e.g. 1.000,00 instead of 1,000.00 ) by setting --formatstr to "euro".
Specify conversion rate by setting --replacement to a number.
* gender_guess: Guess the gender of a name.
* copy: Mark a column for copying
* simdl: Damerau-Levenshtein similarity to --comparand
* simdln: Normalized Damerau-Levenshtein similarity to --comparand (between 0.0 & 1.0)
* simjw: Jaro-Winkler similarity to --comparand (between 0.0 & 1.0)
* simsd: Sørensen-Dice similarity to --comparand (between 0.0 & 1.0)
* simhm: Hamming distance to --comparand. Num of positions characters differ.
* simod: Optimal String Alignment (OSA) Distance to --comparand.
* eudex: Multi-lingual sounds like --comparand (boolean)
Tested on English, Catalan, German, Spanish, Swedish and Italian dictionaries.
It supports all C1 letters (e.g. ü, ö, æ, ß, é, etc.) and takes their sound into account.
It should work on other European languages that use the Latin alphabet.
* sentiment: Normalized VADER sentiment score (English only - between -1.0 to 1.0).
* whatlang: Language Detection for 87 supported languages, with default confidence threshold
of 0.9, which can be overridden by assigning 0.0 to 1.0 to --comparand.
If language detection confidence is below the threshold, it will still show the best language
guess, followed by the confidence score, ending with a question mark.
If you want to always displays the confidence score, end the --comparand value with a
question mark (e.g. 0.9?)
https://github.com/greyblake/whatlang-rs/blob/master/SUPPORTED_LANGUAGES.md
Examples:
Trim, then transform to uppercase the surname field.
$ qsv apply operations trim,upper surname file.csv
Trim, then transform to uppercase the surname field and rename the column uppercase_clean_surname.
$ qsv apply operations trim,upper surname -r uppercase_clean_surname file.csv
Trim, then transform to uppercase the surname field and
save it to a new column named uppercase_clean_surname.
$ qsv apply operations trim,upper surname -c uppercase_clean_surname file.csv
Trim, then transform to uppercase the firstname and surname fields and
rename the columns ufirstname and usurname.
$ qsv apply operations trim,upper firstname,surname -r ufirstname,usurname file.csv
Trim parentheses & brackets from the description field.
$ qsv apply operations mtrim description --comparand '()<>' file.csv
Replace ' and ' with ' & ' in the description field.
$ qsv apply replace description --comparand ' and ' --replacement ' & ' file.csv
Extract the numeric value of the Salary column in a new column named Salary_num.
$ qsv apply operations currencytonum Salary -c Salary_num file.csv
Convert the USD_Price to PHP_Price using the currency symbol "PHP" with a conversion rate of 60.
$ qsv apply operations numtocurrency USD_Price -C PHP -R 60 -c PHP_Price file.csv
Base64 encode the plaintext_col column and save the encoded value into new column named encoded_col
and then decode it.
$ qsv apply operations encode plaintext_col -c encoded_col file.csv | qsv apply operations decode encode_col
Compute the Normalized Damerau-Levenshtein similarity of the neighborhood column to the string 'Roxbury'
and save it to a new column named dln_roxbury_score.
$ qsv apply operations lower,simdln neighborhood --comparand roxbury -c dln_roxbury_score boston311.csv
You can also use this subcommand command to make a copy of a column:
$ qsv apply operations copy col_to_copy -c col_copy file.csv
EMPTYREPLACE (multi-column capable)
Replace empty cells with <--replacement> string.
Non-empty cells are not modified. See the `fill` command for more complex empty field operations.
Examples:
Replace empty cells in file.csv Measurement column with 'None'.
$ qsv apply emptyreplace Measurement --replacement None file.csv
Replace empty cells in file.csv Measurement column with 'Unknown Measurement'.
$ qsv apply emptyreplace Measurement --replacement 'Unknown Measurement' file.csv
Replace empty cells in file.csv M1,M2 and M3 columns with 'None'.
$ qsv apply emptyreplace M1,M2,M3 --replacement None file.csv
Replace all empty cells in file.csv for columns that start with 'Measurement' with 'None'.
$ qsv apply emptyreplace '/^Measurement/' --replacement None file.csv
Replace all empty cells in file.csv for columns that start with 'observation'
case insensitive with 'None'.
$ qsv apply emptyreplace --replacement None '/(?i)^observation/' file.csv
DYNFMT
Dynamically constructs a new column from other columns using the <--formatstr> template.
The template can contain arbitrary characters. To insert a column value, enclose the
column name in curly braces, replacing all non-alphanumeric characters with underscores.
If you need to dynamically construct a column with more complex formatting requirements and
computed values, check out the py command to take advantage of Python's f-string formatting.
Examples:
Create a new column 'mailing address' from 'house number', 'street', 'city' and 'zip-code' columns:
$ qsv apply dynfmt --formatstr '{house_number} {street}, {city} {zip_code} USA' -c 'mailing address' file.csv
Create a new column 'FullName' from 'FirstName', 'MI', and 'LastName' columns:
$ qsv apply dynfmt --formatstr 'Sir/Madam {FirstName} {MI}. {LastName}' -c FullName file.csv
CALCCONV
Parse and evaluate math expressions into a new column, with support for units and conversions.
The math expression is built dynamically using the <--formatstr> template, similar to the DYNFMT
subcommand, with the addition that if the literal '<UNIT>' is found at the end of the template, the
inferred unit will be appended to the result.
For a complete list of supported units, constants, operators and functions, see https://docs.rs/cpc
Examples:
Do simple arithmetic:
$ qsv apply calcconv --formatstr '{col1} + {col2} * {col3}' --new-column result file.csv
With support for operators like % and ^:
$ qsv apply calcconv --formatstr '{col1} % 3' --new-column remainder file.csv
Convert from one unit to another:
$ qsv apply calcconv --formatstr '{col1}mb in gigabytes' -c gb file.csv
$ qsv apply calcconv --formatstr '{col1} Fahrenheit in Celsius" -c metric_temperature file.csv
Mix units and conversions are automatically done for you:
$ qsv apply calcconv --formatstr '{col1}km + {col2}mi in meters' -c meters file.csv
You can append the inferred unit at the end of the result by ending the expression with '<UNIT>':
$ qsv apply calcconv --formatstr '({col1} + {col2})km to light years <UNIT>' -c light_years file.csv
You can even do complex temporal unit conversions:
$ qsv apply calcconv --formatstr '{col1}m/s + {col2}mi/h in kilometers per h' -c kms_per_h file.csv
Use math functions - see https://docs.rs/cpc/latest/cpc/enum.FunctionIdentifier.html for list of functions:
$ qsv apply calcconv --formatstr 'round(sqrt{col1}^4)! liters' -c liters file.csv
Use percentages:
$ qsv apply calcconv --formatstr '10% of abs(sin(pi)) horsepower to watts' -c watts file.csv
And use very large numbers:
$ qsv apply calcconv --formatstr '{col1} Billion Trillion * {col2} quadrillion vigintillion' -c num_atoms file.csv
For more extensive examples, see https://github.com/jqnatividad/qsv/blob/master/tests/test_apply.rs.
Usage:
qsv apply operations <operations> [options] <column> [<input>]
qsv apply emptyreplace --replacement=<string> [options] <column> [<input>]
qsv apply dynfmt --formatstr=<string> [options] --new-column=<name> [<input>]
qsv apply calcconv --formatstr=<string> [options] --new-column=<name> [<input>]
qsv apply --help
apply arguments:
<column> The column/s to apply the transformation to.
Note that the <column> argument supports multiple columns
for the operations & emptyreplace subcommands.
See 'qsv select --help' for the format details.
OPERATIONS subcommand:
<operations> The operation/s to apply.
<column> The column/s to apply the operations to.
EMPTYREPLACE subcommand:
--replacement=<string> The string to use to replace empty values.
<column> The column/s to check for emptiness.
DYNFMT subcommand:
--formatstr=<string> The template to use for the dynfmt operation.
See DYNFMT example above for more details.
--new-column=<name> Put the generated values in a new column.
CALCONV subcommand:
--formatstr=<string> The calculation/conversion expression to use.
--new-column=<name> Put the calculated/converted values in a new column.
<input> The input file to read from. If not specified, reads from stdin.
apply options:
-c, --new-column <name> Put the transformed values in a new column instead.
-r, --rename <name> New name for the transformed column.
-C, --comparand=<string> The string to compare against for replace & similarity operations.
Also used with numtocurrency operation to specify currency symbol.
-R, --replacement=<string> The string to use for the replace & emptyreplace operations.
Also used with numtocurrency operation to conversion rate.
-f, --formatstr=<string> This option is used by several subcommands:
OPERATIONS:
numtocurrency
If set to "euro", will format the currency to use "." instead of ","
as separators (e.g. 1.000,00 instead of 1,000.00 )
thousands
The thousands separator policy to use. The available policies are:
comma, dot, space, underscore, hexfour (place a space every four
hex digits) and indiancomma (place a comma every two digits,
except the last three digits). (default: comma)
round
The number of decimal places to round to (default: 3)
DYNFMT: the template to use to construct a new column.
-j, --jobs <arg> The number of jobs to run in parallel.
When not set, the number of jobs is set to the number of CPUs detected.
-b, --batch <size> The number of rows per batch to load into memory, before running in parallel.
[default: 50000]
Common options:
-h, --help Display this message
-o, --output <file> Write output to <file> instead of stdout.
-n, --no-headers When set, the first row will not be interpreted
as headers.
-d, --delimiter <arg> The field delimiter for reading CSV data.
Must be a single character. (default: ,)
-p, --progressbar Show progress bars. Not valid for stdin.
"#;
use std::{str::FromStr, sync::OnceLock};
use censor::{Censor, Sex, Zealous};
use cpc::{eval, units::Unit};
use data_encoding::BASE64;
use dynfmt::Format;
use eudex::Hash;
use gender_guesser::Gender;
use indicatif::{ProgressBar, ProgressDrawTarget};
use log::debug;
use qsv_currency::Currency;
use rayon::{
iter::{IndexedParallelIterator, ParallelIterator},
prelude::IntoParallelRefIterator,
};
use regex::Regex;
use serde::Deserialize;
use strsim::{
damerau_levenshtein, hamming, jaro_winkler, normalized_damerau_levenshtein, osa_distance,
sorensen_dice,
};
use strum_macros::EnumString;
use thousands::{policies, Separable, SeparatorPolicy};
use titlecase::titlecase;
use vader_sentiment::SentimentIntensityAnalyzer;
use whatlang::detect;
use crate::{
clitypes::CliError,
config::{Config, Delimiter},
regex_oncelock,
select::SelectColumns,
util,
util::replace_column_value,
CliResult,
};
#[derive(Clone, EnumString, PartialEq)]
#[strum(use_phf)]
#[strum(ascii_case_insensitive)]
#[allow(non_camel_case_types)]
enum Operations {
Censor,
Censor_Check,
Censor_Count,
Copy,
Currencytonum,
Decode,
Encode,
Escape,
Eudex,
Gender_Guess,
Len,
Lower,
Ltrim,
Mltrim,
Mrtrim,
Mtrim,
Numtocurrency,
Regex_Replace,
Replace,
Round,
Rtrim,
Sentiment,
Simdl,
Simdln,
Simhm,
Simjw,
Simod,
Simsd,
Squeeze,
Squeeze0,
Strip_Prefix,
Strip_Suffix,
Thousands,
Titlecase,
Trim,
Upper,
Whatlang,
}
#[derive(Deserialize)]
struct Args {
arg_column: SelectColumns,
cmd_operations: bool,
arg_operations: String,
cmd_dynfmt: bool,
cmd_emptyreplace: bool,
cmd_calcconv: bool,
arg_input: Option<String>,
flag_rename: Option<String>,
flag_comparand: String,
flag_replacement: String,
flag_formatstr: String,
flag_batch: u32,
flag_jobs: Option<usize>,
flag_new_column: Option<String>,
flag_output: Option<String>,
flag_no_headers: bool,
flag_delimiter: Option<Delimiter>,
flag_progressbar: bool,
}
static CENSOR: OnceLock<Censor> = OnceLock::new();
static EUDEX_COMPARAND_HASH: OnceLock<eudex::Hash> = OnceLock::new();
static REGEX_REPLACE: OnceLock<Regex> = OnceLock::new();
static SENTIMENT_ANALYZER: OnceLock<SentimentIntensityAnalyzer> = OnceLock::new();
static THOUSANDS_POLICY: OnceLock<SeparatorPolicy> = OnceLock::new();
static ROUND_PLACES: OnceLock<u32> = OnceLock::new();
static WHATLANG_CONFIDENCE_THRESHOLD: OnceLock<f64> = OnceLock::new();
// default confidence threshold for whatlang language detection - 90% confidence
const DEFAULT_THRESHOLD: f64 = 0.9;
// default number of decimal places to round to
const DEFAULT_ROUND_PLACES: u32 = 3;
const NULL_VALUE: &str = "<null>";
// for thousands operator
static INDIANCOMMA_POLICY: SeparatorPolicy = SeparatorPolicy {
separator: ",",
groups: &[3, 2],
digits: thousands::digits::ASCII_DECIMAL,
};
// valid subcommands
#[derive(PartialEq)]
enum ApplySubCmd {
Operations,
DynFmt,
EmptyReplace,
CalcConv,
}
pub fn run(argv: &[&str]) -> CliResult<()> {
let args: Args = util::get_args(USAGE, argv)?;
let rconfig = Config::new(&args.arg_input)
.delimiter(args.flag_delimiter)
.no_headers(args.flag_no_headers)
.select(args.arg_column);
let mut rdr = rconfig.reader()?;
let mut wtr = Config::new(&args.flag_output).writer()?;
let headers = rdr.byte_headers()?.clone();
let sel = rconfig.selection(&headers)?;
// safety: we just checked that sel is not empty in the previous line
let column_index = *sel.iter().next().unwrap();
let mut headers = rdr.headers()?.clone();
if let Some(new_name) = args.flag_rename {
let new_col_names = util::ColumnNameParser::new(&new_name).parse()?;
if new_col_names.len() != sel.len() {
return fail_incorrectusage_clierror!(
"Number of new columns does not match input column selection."
);
}
for (i, col_index) in sel.iter().enumerate() {
headers = replace_column_value(&headers, *col_index, &new_col_names[i]);
}
}
// for dynfmt, safe_headers are the "safe" version of colnames - alphanumeric only,
// all other chars replaced with underscore
// dynfmt_fields are the columns used in the dynfmt --formatstr option
// we prep it so we only populate the lookup vec with the index of these columns
// so SimpleCurlyFormat is performant
let dynfmt_template = if args.cmd_dynfmt || args.cmd_calcconv {
if args.flag_no_headers {
return fail_incorrectusage_clierror!("dynfmt/calcconv subcommand requires headers.");
}
let mut dynfmt_template_wrk = args.flag_formatstr.clone();
let mut dynfmt_fields = Vec::new();
// first, get the fields used in the dynfmt template
let formatstr_re: &'static Regex = crate::regex_oncelock!(r"\{(?P<key>\w+)?\}");
for format_fields in formatstr_re.captures_iter(&args.flag_formatstr) {
// safety: we already checked that the regex match is valid
dynfmt_fields.push(format_fields.name("key").unwrap().as_str());
}
// we sort the fields so we can do binary_search
dynfmt_fields.sort_unstable();
// now, get the indices of the columns for the lookup vec
let (safe_headers, _) = util::safe_header_names(&headers, false, false, None, "", true);
for (i, field) in safe_headers.iter().enumerate() {
if dynfmt_fields.binary_search(&field.as_str()).is_ok() {
let field_with_curly = format!("{{{field}}}");
let field_index = format!("{{{i}}}");
dynfmt_template_wrk = dynfmt_template_wrk.replace(&field_with_curly, &field_index);
}
}
debug!("dynfmt_fields: {dynfmt_fields:?} dynfmt_template: {dynfmt_template_wrk}");
dynfmt_template_wrk
} else {
String::new()
};
let mut ops_vec: Vec<Operations> = Vec::new();
let apply_cmd = if args.cmd_operations {
match validate_operations(
&args.arg_operations.split(',').collect(),
&args.flag_comparand,
&args.flag_replacement,
&args.flag_new_column,
&args.flag_formatstr,
) {
Ok(operations_vec) => ops_vec = operations_vec,
Err(e) => return Err(e),
}
ApplySubCmd::Operations
} else if args.cmd_dynfmt {
ApplySubCmd::DynFmt
} else if args.cmd_emptyreplace {
ApplySubCmd::EmptyReplace
} else if args.cmd_calcconv {
ApplySubCmd::CalcConv
} else {
return fail_incorrectusage_clierror!("Unknown apply subcommand.");
};
if !rconfig.no_headers {
if let Some(new_column) = &args.flag_new_column {
headers.push_field(new_column);
}
wtr.write_record(&headers)?;
}
// if there is a regex_replace operation and replacement is <NULL> case-insensitive,
// we set it to empty string
let flag_replacement = if apply_cmd == ApplySubCmd::Operations
&& ops_vec.contains(&Operations::Regex_Replace)
&& args.flag_replacement.to_ascii_lowercase() == NULL_VALUE
{
String::new()
} else {
args.flag_replacement
};
let flag_comparand = args.flag_comparand;
let flag_formatstr = args.flag_formatstr;
let flag_new_column = args.flag_new_column;
// prep progress bar
let show_progress =
(args.flag_progressbar || util::get_envvar_flag("QSV_PROGRESSBAR")) && !rconfig.is_stdin();
let progress = ProgressBar::with_draw_target(None, ProgressDrawTarget::stderr_with_hz(5));
if show_progress {
util::prep_progress(&progress, util::count_rows(&rconfig)?);
} else {
progress.set_draw_target(ProgressDrawTarget::hidden());
}
// amortize memory allocation by reusing record
#[allow(unused_assignments)]
let mut batch_record = csv::StringRecord::new();
// reuse batch buffers
let batchsize: usize = args.flag_batch as usize;
let mut batch = Vec::with_capacity(batchsize);
let mut batch_results = Vec::with_capacity(batchsize);
// set RAYON_NUM_THREADS
util::njobs(args.flag_jobs);
// main loop to read CSV and construct batches for parallel processing.
// each batch is processed via Rayon parallel iterator.
// loop exits when batch is empty.
'batch_loop: loop {
for _ in 0..batchsize {
match rdr.read_record(&mut batch_record) {
Ok(has_data) => {
if has_data {
batch.push(std::mem::take(&mut batch_record));
} else {
// nothing else to add to batch
break;
}
},
Err(e) => {
return fail_clierror!("Error reading file: {e}");
},
}
}
if batch.is_empty() {
// break out of infinite loop when at EOF
break 'batch_loop;
}
// do actual apply command via Rayon parallel iterator
batch
.par_iter()
.map(|record_item| {
let mut record = record_item.clone();
match apply_cmd {
ApplySubCmd::Operations => {
let mut cell = String::new();
for col_index in &*sel {
record[*col_index].clone_into(&mut cell);
apply_operations(
&ops_vec,
&mut cell,
&flag_comparand,
&flag_replacement,
&flag_formatstr,
);
if flag_new_column.is_some() {
record.push_field(&cell);
} else {
record = replace_column_value(&record, *col_index, &cell);
}
}
},
ApplySubCmd::EmptyReplace => {
let mut cell = String::new();
for col_index in &*sel {
record[*col_index].clone_into(&mut cell);
if cell.trim().is_empty() {
cell.clone_from(&flag_replacement);
}
if flag_new_column.is_some() {
record.push_field(&cell);
} else {
record = replace_column_value(&record, *col_index, &cell);
}
}
},
ApplySubCmd::DynFmt => {
let mut cell = record[column_index].to_owned();
if !cell.is_empty() {
let mut record_vec: Vec<String> = Vec::with_capacity(record.len());
for field in &record {
record_vec.push(field.to_string());
}
if let Ok(formatted) =
dynfmt::SimpleCurlyFormat.format(&dynfmt_template, record_vec)
{
cell = formatted.to_string();
}
}
if flag_new_column.is_some() {
record.push_field(&cell);
} else {
record = replace_column_value(&record, column_index, &cell);
}
},
ApplySubCmd::CalcConv => {
let result = if record[column_index].is_empty() {
String::new()
} else {
let mut cell = record[column_index].to_owned();
let mut record_vec: Vec<String> = Vec::with_capacity(record.len());
for field in &record {
record_vec.push(field.to_string());
}
if let Ok(formatted) =
dynfmt::SimpleCurlyFormat.format(&dynfmt_template, record_vec)
{
cell = formatted.to_string();
}
let mut append_unit = false;
let cell_for_eval = if cell.ends_with("<UNIT>") {
append_unit = true;
cell.trim_end_matches("<UNIT>")
} else {
&cell
};
match eval(cell_for_eval, true, Unit::Celsius, false) {
Ok(answer) => {
if append_unit {
format!("{} {:?}", answer.value, answer.unit)
} else {
answer.value.to_string()
}
},
Err(e) => {
format!("ERROR: {e}")
},
}
};
if flag_new_column.is_some() {
record.push_field(&result);
} else {
record = replace_column_value(&record, column_index, &result);
}
},
}
record
})
.collect_into_vec(&mut batch_results);
// rayon collect() guarantees original order, so we can just append results each batch
for result_record in &batch_results {
wtr.write_record(result_record)?;
}
if show_progress {
progress.inc(batch.len() as u64);
}
batch.clear();
} // end batch loop
if show_progress {
util::finish_progress(&progress);
}
Ok(wtr.flush()?)
}
// validate apply operations for required options
// and prepare operations enum vec
fn validate_operations(
operations: &Vec<&str>,
flag_comparand: &str,
flag_replacement: &str,
flag_new_column: &Option<String>,
flag_formatstr: &str,
) -> Result<Vec<Operations>, CliError> {
let mut censor_invokes = 0_u8;
let mut copy_invokes = 0_u8;
let mut eudex_invokes = 0_u8;
let mut regex_replace_invokes = 0_u8;
let mut replace_invokes = 0_u8;
let mut sentiment_invokes = 0_u8;
let mut sim_invokes = 0_u8;
let mut strip_invokes = 0_u8;
let mut whatlang_invokes = 0_u8;
let mut ops_vec: Vec<Operations> = Vec::with_capacity(operations.len());
for op in operations {
let Ok(operation) = Operations::from_str(op) else {
return fail_incorrectusage_clierror!("Unknown '{op}' operation");
};
match operation {
Operations::Censor | Operations::Censor_Check | Operations::Censor_Count => {
if flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--new_column (-c) is required for censor operations."
);
}
if censor_invokes == 0
&& CENSOR
.set({
let mut censored_words = Censor::Standard + Zealous + Sex;
for word in flag_comparand.split(',') {
censored_words += word.trim();
}
censored_words
})
.is_err()
{
return fail!("Cannot initialize Censor engine.");
}
censor_invokes = censor_invokes.saturating_add(1);
},
Operations::Copy => {
if flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--new_column (-c) is required for copy operation."
);
}
copy_invokes = copy_invokes.saturating_add(1);
},
Operations::Eudex => {
if flag_comparand.is_empty() || flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--comparand (-C) and --new_column (-c) is required for eudex."
);
}
if eudex_invokes == 0
&& EUDEX_COMPARAND_HASH
.set(eudex::Hash::new(flag_comparand))
.is_err()
{
return fail!("Cannot initialize Eudex.");
}
eudex_invokes = eudex_invokes.saturating_add(1);
},
Operations::Mtrim | Operations::Mltrim | Operations::Mrtrim => {
if flag_comparand.is_empty() {
return fail_incorrectusage_clierror!(
"--comparand (-C) is required for match trim operations."
);
}
},
Operations::Regex_Replace => {
if flag_comparand.is_empty() || flag_replacement.is_empty() {
return fail_incorrectusage_clierror!(
"--comparand (-C) and --replacement (-R) are required for regex_replace \
operation."
);
}
if regex_replace_invokes == 0 {
let re = match regex::Regex::new(flag_comparand) {
Ok(re) => re,
Err(err) => {
return fail_clierror!("regex_replace expression error: {err:?}");
},
};
#[allow(clippy::let_underscore_untyped)]
let _ = REGEX_REPLACE.set(re);
}
regex_replace_invokes = regex_replace_invokes.saturating_add(1);
},
Operations::Replace => {
if flag_comparand.is_empty() || flag_replacement.is_empty() {
return fail_incorrectusage_clierror!(
"--comparand (-C) and --replacement (-R) are required for replace \
operation."
);
}
replace_invokes = replace_invokes.saturating_add(1);
},
Operations::Sentiment => {
if flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--new_column (-c) is required for sentiment operation."
);
}
sentiment_invokes = sentiment_invokes.saturating_add(1);
},
Operations::Simdl
| Operations::Simdln
| Operations::Simjw
| Operations::Simsd
| Operations::Simhm
| Operations::Simod => {
if flag_comparand.is_empty() || flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--comparand (-C) and --new_column (-c) is required for similarity \
operations."
);
}
sim_invokes = sim_invokes.saturating_add(1);
},
Operations::Strip_Prefix | Operations::Strip_Suffix => {
if flag_comparand.is_empty() {
return fail!("--comparand (-C) is required for strip operations.");
}
strip_invokes = strip_invokes.saturating_add(1);
},
Operations::Thousands => {
let separator_policy = match flag_formatstr {
"dot" => policies::DOT_SEPARATOR,
"space" => policies::SPACE_SEPARATOR,
"underscore" => policies::UNDERSCORE_SEPARATOR,
"hexfour" => policies::HEX_FOUR,
"indiancomma" => INDIANCOMMA_POLICY,
_ => policies::COMMA_SEPARATOR,
};
if THOUSANDS_POLICY.set(separator_policy).is_err() {
return fail!("Cannot initialize Thousands policy.");
};
},
Operations::Round => {
if ROUND_PLACES
.set(
flag_formatstr
.parse::<u32>()
.unwrap_or(DEFAULT_ROUND_PLACES),
)
.is_err()
{
return fail!("Cannot initialize Round precision.");
};
},
Operations::Whatlang => {
if flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--new_column (-c) is required for whatlang language detection."
);
}
if whatlang_invokes == 0
&& WHATLANG_CONFIDENCE_THRESHOLD
.set(if flag_comparand.is_empty() {
DEFAULT_THRESHOLD
} else {
let preparsed_threshold;
let show_confidence = if flag_comparand.ends_with('?') {
preparsed_threshold = flag_comparand.trim_end_matches('?');
true
} else {
preparsed_threshold = flag_comparand;
false
};
let desired_threshold = preparsed_threshold
.parse::<f64>()
.unwrap_or(DEFAULT_THRESHOLD);
// desired threshold can be 0.0 to 1.0
let final_threshold = if (0.0..=1.0).contains(&desired_threshold) {
desired_threshold
} else {
// its outside the valid range
// just set it to the default threshold
DEFAULT_THRESHOLD
};
if show_confidence {
final_threshold * -1.0
} else {
final_threshold
}
})
.is_err()
{
return fail!("cannot initialize WhatLang language detection.");
}
whatlang_invokes = whatlang_invokes.saturating_add(1);
},
Operations::Gender_Guess => {
if flag_new_column.is_none() {
return fail_incorrectusage_clierror!(
"--new_column (-c) is required for Gender_Guess"
);
}
},
_ => {},
}
ops_vec.push(operation);
}
if censor_invokes > 1
|| copy_invokes > 1
|| eudex_invokes > 1
|| regex_replace_invokes > 1
|| replace_invokes > 1
|| sentiment_invokes > 1
|| sim_invokes > 1
|| strip_invokes > 1
|| whatlang_invokes > 1
{
return fail_incorrectusage_clierror!(
"you can only use censor({censor_invokes}), copy({copy_invokes}), \
eudex({eudex_invokes}), regex_replace({regex_replace_invokes}), \
replace({replace_invokes}), sentiment({sentiment_invokes}), \
similarity({sim_invokes}), strip({strip_invokes}), and whatlang({whatlang_invokes}) \
ONCE per operation series."
);
};
Ok(ops_vec) // no validation errors
}
#[inline]
fn apply_operations(
ops_vec: &Vec<Operations>,
cell: &mut String,
comparand: &str,
replacement: &str,
formatstr: &str,
) {
for op in ops_vec {
match op {
Operations::Len => {
*cell = cell.len().to_string();
},
Operations::Lower => {
*cell = cell.to_lowercase();
},
Operations::Upper => {
*cell = cell.to_uppercase();
},
Operations::Squeeze => {
let squeezer: &'static Regex = regex_oncelock!(r"\s+");
*cell = squeezer.replace_all(cell, " ").to_string();
},
Operations::Squeeze0 => {
let squeezer: &'static Regex = regex_oncelock!(r"\s+");
*cell = squeezer.replace_all(cell, "").to_string();
},
Operations::Trim => {
*cell = String::from(cell.trim());
},
Operations::Ltrim => {
*cell = String::from(cell.trim_start());
},
Operations::Rtrim => {
*cell = String::from(cell.trim_end());
},
Operations::Mtrim => {
let chars_to_trim: &[char] = &comparand.chars().collect::<Vec<_>>();
*cell = String::from(cell.trim_matches(chars_to_trim));
},
Operations::Mltrim => {
*cell = String::from(cell.trim_start_matches(comparand));
},
Operations::Mrtrim => {
*cell = String::from(cell.trim_end_matches(comparand));
},
Operations::Encode => {
*cell = BASE64.encode(cell.as_bytes());
},
Operations::Decode => {
let mut output = vec![0; BASE64.decode_len(cell.len()).unwrap_or_default()];