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
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
// Clippy lints
#![allow(
    clippy::needless_doctest_main,
    clippy::needless_pass_by_value,
    clippy::map_unwrap_or
)]
#![warn(
    clippy::mut_mut,
    clippy::non_ascii_literal,
    clippy::similar_names,
    clippy::unicode_not_nfc,
    clippy::if_not_else,
    clippy::items_after_statements,
    clippy::used_underscore_binding,
    missing_copy_implementations
)]
#![cfg_attr(feature = "nightly", feature(proc_macro_diagnostic))]

extern crate diesel_table_macro_syntax;
extern crate proc_macro;
extern crate proc_macro2;
extern crate quote;
extern crate syn;

use proc_macro::TokenStream;
use syn::parse_macro_input;

mod attrs;
mod deprecated;
mod field;
mod model;
mod parsers;
mod util;

mod as_changeset;
mod as_expression;
mod associations;
mod diesel_for_each_tuple;
mod diesel_numeric_ops;
mod diesel_public_if;
mod from_sql_row;
mod identifiable;
mod insertable;
mod multiconnection;
mod query_id;
mod queryable;
mod queryable_by_name;
mod selectable;
mod sql_function;
mod sql_type;
mod table;
mod valid_grouping;

/// Implements `AsChangeset`
///
/// To implement `AsChangeset` this derive needs to know the corresponding table
/// type. By default, it uses the `snake_case` type name with an added `s` from
/// the current scope.
/// It is possible to change this default by using `#[diesel(table_name = something)]`.
///
/// If a field name of your struct differs
/// from the name of the corresponding column, you can annotate the field with
/// `#[diesel(column_name = some_column_name)]`.
///
/// To provide custom serialization behavior for a field, you can use
/// `#[diesel(serialize_as = SomeType)]`. If this attribute is present, Diesel
/// will call `.into` on the corresponding field and serialize the instance of `SomeType`,
/// rather than the actual field on your struct. This can be used to add custom behavior for a
/// single field, or use types that are otherwise unsupported by Diesel.
/// Normally, Diesel produces two implementations of the `AsChangeset` trait for your
/// struct using this derive: one for an owned version and one for a borrowed version.
/// Using `#[diesel(serialize_as)]` implies a conversion using `.into` which consumes the underlying value.
/// Hence, once you use `#[diesel(serialize_as)]`, Diesel can no longer insert borrowed
/// versions of your struct.
///
/// By default, any `Option` fields on the struct are skipped if their value is
/// `None`. If you would like to assign `NULL` to the field instead, you can
/// annotate your struct with `#[diesel(treat_none_as_null = true)]`.
///
/// # Attributes
///
/// ## Optional container attributes
///
/// * `#[diesel(treat_none_as_null = true)]`, specifies that
///    the derive should treat `None` values as `NULL`. By default
///    `Option::<T>::None` is just skipped. To insert a `NULL` using default
///    behavior use `Option::<Option<T>>::Some(None)`
/// * `#[diesel(table_name = path::to::table)]`, specifies a path to the table for which the
///    current type is a changeset. The path is relative to the current module.
///    If this attribute is not used, the type name converted to
///    `snake_case` with an added `s` is used as table name.
/// * `#[diesel(primary_key(id1, id2))]` to specify the struct field that
///    that corresponds to the primary key. If not used, `id` will be
///    assumed as primary key field
///
/// ## Optional field attributes
///
/// * `#[diesel(column_name = some_column_name)]`, overrides the column name
///    of the current field to `some_column_name`. By default, the field
///    name is used as column name.
/// * `#[diesel(serialize_as = SomeType)]`, instead of serializing the actual
///    field type, Diesel will convert the field into `SomeType` using `.into` and
///    serialize that instead. By default, this derive will serialize directly using
///    the actual field type.
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(
        AsChangeset,
        attributes(diesel, table_name, column_name, primary_key, changeset_options)
    )
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(AsChangeset, attributes(diesel))
)]
pub fn derive_as_changeset(input: TokenStream) -> TokenStream {
    as_changeset::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements all required variants of `AsExpression`
///
/// This derive will generate the following impls:
///
/// - `impl AsExpression<SqlType> for YourType`
/// - `impl AsExpression<Nullable<SqlType>> for YourType`
/// - `impl AsExpression<SqlType> for &'a YourType`
/// - `impl AsExpression<Nullable<SqlType>> for &'a YourType`
/// - `impl AsExpression<SqlType> for &'a &'b YourType`
/// - `impl AsExpression<Nullable<SqlType>> for &'a &'b YourType`
///
/// If your type is unsized,
/// you can specify this by adding the annotation `#[diesel(not_sized)]`
/// as attribute on the type. This will skip the impls for non-reference types.
///
/// # Attributes:
///
/// ## Required container attributes
///
/// * `#[diesel(sql_type = SqlType)]`, to specify the sql type of the
///    generated implementations. If the attribute exists multiple times
///    impls for each sql type is generated.
///
/// ## Optional container attributes
///
/// * `#[diesel(not_sized)]`, to skip generating impls that require
///    that the type is `Sized`
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(AsExpression, attributes(diesel, sql_type))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(AsExpression, attributes(diesel))
)]
pub fn derive_as_expression(input: TokenStream) -> TokenStream {
    as_expression::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implement required traits for the associations API
///
/// This derive implements support for Diesel's associations api. Check the
/// module level documentation of the `diesel::associations` module for details.
///
/// This derive generates the following impls:
/// * `impl BelongsTo<Parent> for YourType`
/// * `impl BelongsTo<&'a Parent> for YourType`
///
/// # Attributes
///
/// # Required container attributes
///
/// * `#[diesel(belongs_to(User))]`, to specify a child-to-parent relationship
///    between the current type and the specified parent type (`User`).
///    If this attribute is given multiple times, multiple relationships
///    are generated. `#[diesel(belongs_to(User, foreign_key = mykey))]` variant
///    allows us to specify the name of the foreign key. If the foreign key
///    is not specified explicitly, the remote lower case type name with
///    appended `_id` is used as a foreign key name. (`user_id` in this example
///    case)
///
/// # Optional container attributes
///
/// * `#[diesel(table_name = path::to::table)]` specifies a path to the table this
///    type belongs to. The path is relative to the current module.
///    If this attribute is not used, the type name converted to
///    `snake_case` with an added `s` is used as table name.
///
/// # Optional field attributes
///
/// * `#[diesel(column_name = some_column_name)]`, overrides the column the current
///    field maps to `some_column_name`. By default, the field name is used
///    as a column name.
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(Associations, attributes(diesel, belongs_to, column_name, table_name))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(Associations, attributes(diesel, belongs_to, column_name, table_name))
)]
pub fn derive_associations(input: TokenStream) -> TokenStream {
    associations::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implement numeric operators for the current query node
#[proc_macro_derive(DieselNumericOps)]
pub fn derive_diesel_numeric_ops(input: TokenStream) -> TokenStream {
    diesel_numeric_ops::derive(parse_macro_input!(input)).into()
}

/// Implements `Queryable` for primitive types
///
/// This derive is mostly useful to implement support deserializing
/// into rust types not supported by Diesel itself.
///
/// There are no options or special considerations needed for this derive.
#[proc_macro_derive(FromSqlRow, attributes(diesel))]
pub fn derive_from_sql_row(input: TokenStream) -> TokenStream {
    from_sql_row::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements `Identifiable` for references of the current type
///
/// By default, the primary key field is assumed to be a single field called `id`.
/// If it isn't, you can put `#[diesel(primary_key(your_id))]` on your struct.
/// If you have a composite primary key, the syntax is `#[diesel(primary_key(id1, id2))]`.
///
/// By default, `#[derive(Identifiable)]` will assume that your table is
/// in scope and its name is the plural form of your struct name.
/// Diesel uses basic pluralization rules.
/// It only adds an `s` to the end, and converts `CamelCase` to `snake_case`.
/// If your table name doesn't follow this convention or is not in scope,
/// you can specify a path to the table with `#[diesel(table_name = path::to::table)]`.
/// Our rules for inferring table names are considered public API.
/// It will never change without a major version bump.
///
/// This derive generates the following impls:
/// * `impl Identifiable for &'a YourType`
/// * `impl Identifiable for &'_ &'a YourType`
///
/// # Attributes
///
/// ## Optional container attributes
///
/// * `#[diesel(table_name = path::to::table)]` specifies a path to the table this
///    type belongs to. The path is relative to the current module.
///    If this attribute is not used, the type name converted to
///    `snake_case` with an added `s` is used as table name
/// * `#[diesel(primary_key(id1, id2))]` to specify the struct field that
///    that corresponds to the primary key. If not used, `id` will be
///    assumed as primary key field
///
/// # Optional field attributes
///
/// * `#[diesel(column_name = some_column_name)]`, overrides the column the current
///    field maps to `some_column_name`. By default, the field name is used
///    as a column name.
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(Identifiable, attributes(diesel, table_name, column_name, primary_key))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(Identifiable, attributes(diesel))
)]
pub fn derive_identifiable(input: TokenStream) -> TokenStream {
    identifiable::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements `Insertable`
///
/// To implement `Insertable` this derive needs to know the corresponding table
/// type. By default, it uses the `snake_case` type name with an added `s`
/// from the current scope.
/// It is possible to change this default by using `#[diesel(table_name = something)]`.
/// If `table_name` attribute is given multiple times, impls for each table are generated.
///
/// If a field name of your
/// struct differs from the name of the corresponding column,
/// you can annotate the field with `#[diesel(column_name = some_column_name)]`.
///
/// Your struct can also contain fields which implement `Insertable`. This is
/// useful when you want to have one field map to more than one column (for
/// example, an enum that maps to a label and a value column). Add
/// `#[diesel(embed)]` to any such fields.
///
/// To provide custom serialization behavior for a field, you can use
/// `#[diesel(serialize_as = SomeType)]`. If this attribute is present, Diesel
/// will call `.into` on the corresponding field and serialize the instance of `SomeType`,
/// rather than the actual field on your struct. This can be used to add custom behavior for a
/// single field, or use types that are otherwise unsupported by Diesel.
/// Using `#[diesel(serialize_as)]` is **incompatible** with `#[diesel(embed)]`.
/// Normally, Diesel produces two implementations of the `Insertable` trait for your
/// struct using this derive: one for an owned version and one for a borrowed version.
/// Using `#[diesel(serialize_as)]` implies a conversion using `.into` which consumes the underlying value.
/// Hence, once you use `#[diesel(serialize_as)]`, Diesel can no longer insert borrowed
/// versions of your struct.
///
/// # Attributes
///
/// ## Optional container attributes
///
/// * `#[diesel(table_name = path::to::table)]`, specifies a path to the table this type
///    is insertable into. The path is relative to the current module.
///    If this attribute is not used, the type name converted to
///    `snake_case` with an added `s` is used as table name
/// * `#[diesel(treat_none_as_default_value = false)]`, specifies that `None` values
///    should be converted to `NULL` values on the SQL side instead of being treated as `DEFAULT`
///    value primitive. *Note*: This option may control if your query is stored in the
///    prepared statement cache or not*
///
/// ## Optional field attributes
///
/// * `#[diesel(column_name = some_column_name)]`, overrides the column the current
///    field maps to `some_column_name`. By default, the field name is used
///    as column name
/// * `#[diesel(embed)]`, specifies that the current field maps not only
///    to a single database field, but is a struct that implements `Insertable`
/// * `#[diesel(serialize_as = SomeType)]`, instead of serializing the actual
///    field type, Diesel will convert the field into `SomeType` using `.into` and
///    serialize that instead. By default, this derive will serialize directly using
///    the actual field type.
///
/// # Examples
///
/// If we want to customize the serialization during insert, we can use `#[diesel(serialize_as)]`.
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// # use diesel::{prelude::*, serialize::{ToSql, Output, self}, deserialize::{FromSqlRow}, expression::AsExpression, sql_types, backend::Backend};
/// # use schema::users;
/// # use std::io::Write;
/// #
/// #[derive(Debug, FromSqlRow, AsExpression)]
/// #[diesel(sql_type = sql_types::Text)]
/// struct UppercaseString(pub String);
///
/// impl Into<UppercaseString> for String {
///     fn into(self) -> UppercaseString {
///         UppercaseString(self.to_uppercase())
///     }
/// }
///
/// impl<DB> ToSql<sql_types::Text, DB> for UppercaseString
///     where
///         DB: Backend,
///         String: ToSql<sql_types::Text, DB>,
/// {
///     fn to_sql<'b>(&'b self, out: &mut Output<'b, '_, DB>) -> serialize::Result {
///         self.0.to_sql(out)
///     }
/// }
///
/// #[derive(Insertable, PartialEq, Debug)]
/// #[diesel(table_name = users)]
/// struct InsertableUser {
///     id: i32,
///     #[diesel(serialize_as = UppercaseString)]
///     name: String,
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     use schema::users::dsl::*;
/// #     let connection = &mut connection_no_data();
/// #     diesel::sql_query("CREATE TABLE users (id INTEGER PRIMARY KEY, name VARCHAR(255) NOT NULL)")
/// #         .execute(connection)
/// #         .unwrap();
/// let user = InsertableUser {
///     id: 1,
///     name: "thomas".to_string(),
/// };
///
/// diesel::insert_into(users)
///     .values(user)
///     .execute(connection)
///     .unwrap();
///
/// assert_eq!(
///     Ok("THOMAS".to_string()),
///     users.select(name).first(connection)
/// );
/// # Ok(())
/// # }
/// ```
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(Insertable, attributes(diesel, table_name, column_name))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(Insertable, attributes(diesel))
)]
pub fn derive_insertable(input: TokenStream) -> TokenStream {
    insertable::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements `QueryId`
///
/// For example, given this struct:
///
/// ```rust
/// # extern crate diesel;
/// #[derive(diesel::query_builder::QueryId)]
/// pub struct And<Left, Right> {
///     left: Left,
///     right: Right,
/// }
/// ```
///
/// the following implementation will be generated
///
/// ```rust
/// # extern crate diesel;
/// # struct And<Left, Right>(Left, Right);
/// # use diesel::query_builder::QueryId;
/// impl<Left, Right> QueryId for And<Left, Right>
/// where
///     Left: QueryId,
///     Right: QueryId,
/// {
///     type QueryId = And<Left::QueryId, Right::QueryId>;
///
///     const HAS_STATIC_QUERY_ID: bool = Left::HAS_STATIC_QUERY_ID && Right::HAS_STATIC_QUERY_ID;
/// }
/// ```
///
/// If the SQL generated by a struct is not uniquely identifiable by its type,
/// meaning that `HAS_STATIC_QUERY_ID` should always be false,
/// you shouldn't derive this trait.
/// In that case, you should implement it manually instead.
#[proc_macro_derive(QueryId)]
pub fn derive_query_id(input: TokenStream) -> TokenStream {
    query_id::derive(parse_macro_input!(input)).into()
}

/// Implements `Queryable` to load the result of statically typed queries
///
/// This trait can only be derived for structs, not enums.
///
/// **Note**: When this trait is derived, it will assume that __all fields on
/// your struct__ matches __all fields in the query__, including the order and
/// count. This means that field order is significant if you're using
/// `#[derive(Queryable)]`. __Field name has no effect__. If you see errors while
/// loading data into a struct that derives `Queryable`: Consider using [`#[derive(Selectable)]`]
/// + `#[diesel(check_for_backend(YourBackendType))]` to check for mismatching fields at
/// compile-time.
///
/// To provide custom deserialization behavior for a field, you can use
/// `#[diesel(deserialize_as = SomeType)]`. If this attribute is present, Diesel
/// will deserialize the corresponding field into `SomeType`, rather than the
/// actual field type on your struct and then call
/// [`.try_into`](https://doc.rust-lang.org/stable/std/convert/trait.TryInto.html#tymethod.try_into)
/// to convert it to the actual field type. This can be used to add custom behavior for a
/// single field, or use types that are otherwise unsupported by Diesel.
/// (Note: all types that have `Into<T>` automatically implement `TryInto<T>`,
/// for cases where your conversion is not fallible.)
///
/// # Attributes
///
/// ## Optional field attributes
///
/// * `#[diesel(deserialize_as = Type)]`, instead of deserializing directly
///    into the field type, the implementation will deserialize into `Type`.
///    Then `Type` is converted via
///    [`.try_into`](https://doc.rust-lang.org/stable/std/convert/trait.TryInto.html#tymethod.try_into)
///    into the field type. By default, this derive will deserialize directly into the field type
///
/// # Examples
///
/// If we just want to map a query to our struct, we can use `derive`.
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// #
/// #[derive(Queryable, PartialEq, Debug)]
/// struct User {
///     id: i32,
///     name: String,
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     use schema::users::dsl::*;
/// #     let connection = &mut establish_connection();
/// let first_user = users.first(connection)?;
/// let expected = User { id: 1, name: "Sean".into() };
/// assert_eq!(expected, first_user);
/// #     Ok(())
/// # }
/// ```
///
/// If we want to do additional work during deserialization, we can use
/// `deserialize_as` to use a different implementation.
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// #
/// # use schema::users;
/// # use diesel::backend::{self, Backend};
/// # use diesel::deserialize::{self, Queryable, FromSql};
/// # use diesel::sql_types::Text;
/// #
/// struct LowercaseString(String);
///
/// impl Into<String> for LowercaseString {
///     fn into(self) -> String {
///         self.0
///     }
/// }
///
/// impl<DB> Queryable<Text, DB> for LowercaseString
/// where
///     DB: Backend,
///     String: FromSql<Text, DB>
/// {
///
///     type Row = String;
///
///     fn build(s: String) -> deserialize::Result<Self> {
///         Ok(LowercaseString(s.to_lowercase()))
///     }
/// }
///
/// #[derive(Queryable, PartialEq, Debug)]
/// struct User {
///     id: i32,
///     #[diesel(deserialize_as = LowercaseString)]
///     name: String,
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     use schema::users::dsl::*;
/// #     let connection = &mut establish_connection();
/// let first_user = users.first(connection)?;
/// let expected = User { id: 1, name: "sean".into() };
/// assert_eq!(expected, first_user);
/// #     Ok(())
/// # }
/// ```
///
/// Alternatively, we can implement the trait for our struct manually.
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// #
/// use schema::users;
/// use diesel::deserialize::{self, Queryable, FromSqlRow};
/// use diesel::row::Row;
///
/// # /*
/// type DB = diesel::sqlite::Sqlite;
/// # */
///
/// #[derive(PartialEq, Debug)]
/// struct User {
///     id: i32,
///     name: String,
/// }
///
/// impl Queryable<users::SqlType, DB> for User
/// where
///    (i32, String): FromSqlRow<users::SqlType, DB>,
/// {
///     type Row = (i32, String);
///
///     fn build((id, name): Self::Row) -> deserialize::Result<Self> {
///         Ok(User { id, name: name.to_lowercase() })
///     }
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     use schema::users::dsl::*;
/// #     let connection = &mut establish_connection();
/// let first_user = users.first(connection)?;
/// let expected = User { id: 1, name: "sean".into() };
/// assert_eq!(expected, first_user);
/// #     Ok(())
/// # }
/// ```
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(Queryable, attributes(diesel, column_name))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(Queryable, attributes(diesel))
)]
pub fn derive_queryable(input: TokenStream) -> TokenStream {
    queryable::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements `QueryableByName` for untyped sql queries, such as that one generated
/// by `sql_query`
///
/// To derive this trait, Diesel needs to know the SQL type of each field.
/// It can get the data from the corresponding table type.
/// It uses the `snake_case` type name with an added `s`.
/// It is possible to change this default by using `#[diesel(table_name = something)]`.
/// If you define use the table type, the SQL type will be
/// `diesel::dsl::SqlTypeOf<table_name::column_name>`. In cases which there are no table type,
/// you can do the same by annotating each field with `#[diesel(sql_type = SomeType)]`.
///
/// If the name of a field on your struct is different from the column in your
/// `table!` declaration, or if you're deriving this trait on a tuple struct,
/// you can annotate the field with `#[diesel(column_name = some_column)]`. For tuple
/// structs, all fields must have this annotation.
///
/// If a field is another struct which implements `QueryableByName`,
/// instead of a column, you can annotate that with `#[diesel(embed)]`.
/// Then all fields contained by that inner struct are loaded into the embedded struct.
///
/// To provide custom deserialization behavior for a field, you can use
/// `#[diesel(deserialize_as = SomeType)]`. If this attribute is present, Diesel
/// will deserialize the corresponding field into `SomeType`, rather than the
/// actual field type on your struct and then call `.into` to convert it to the
/// actual field type. This can be used to add custom behavior for a
/// single field, or use types that are otherwise unsupported by Diesel.
///
/// # Attributes
///
/// ## Optional container attributes
///
/// * `#[diesel(table_name = path::to::table)]`, to specify that this type contains
///    columns for the specified table. The path is relative to the current module.
///    If no field attributes are specified the derive will use the sql type of
///    the corresponding column.
/// * `#[diesel(check_for_backend(diesel::pg::Pg, diesel::mysql::Mysql))]`, instructs
///    the derive to generate additional code to identify potential type mismatches.
///    It accepts a list of backend types to check the types against. Using this option
///    will result in much better error messages in cases where some types in your `QueryableByName`
///    struct don't match. You need to specify the concrete database backend
///    this specific struct is indented to be used with, as otherwise rustc can't correctly
///    identify the required deserialization implementation.
///
/// ## Optional field attributes
///
/// * `#[diesel(column_name = some_column)]`, overrides the column name for
///    a given field. If not set, the name of the field is used as a column
///    name. This attribute is required on tuple structs, if
///    `#[diesel(table_name = some_table)]` is used, otherwise it's optional.
/// * `#[diesel(sql_type = SomeType)]`, assumes `SomeType` as sql type of the
///    corresponding field. These attributes have precedence over all other
///    variants to specify the sql type.
/// * `#[diesel(deserialize_as = Type)]`, instead of deserializing directly
///    into the field type, the implementation will deserialize into `Type`.
///    Then `Type` is converted via `.into()` into the field type. By default,
///    this derive will deserialize directly into the field type
/// * `#[diesel(embed)]`, specifies that the current field maps not only
///    a single database column, but it is a type that implements
///    `QueryableByName` on its own
///
/// # Examples
///
/// If we just want to map a query to our struct, we can use `derive`.
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// # use schema::users;
/// # use diesel::sql_query;
/// #
/// #[derive(QueryableByName, PartialEq, Debug)]
/// struct User {
///     id: i32,
///     name: String,
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     let connection = &mut establish_connection();
/// let first_user = sql_query("SELECT * FROM users ORDER BY id LIMIT 1")
///     .get_result(connection)?;
/// let expected = User { id: 1, name: "Sean".into() };
/// assert_eq!(expected, first_user);
/// #     Ok(())
/// # }
/// ```
///
/// If we want to do additional work during deserialization, we can use
/// `deserialize_as` to use a different implementation.
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// # use diesel::sql_query;
/// # use schema::users;
/// # use diesel::backend::{self, Backend};
/// # use diesel::deserialize::{self, FromSql};
/// #
/// struct LowercaseString(String);
///
/// impl Into<String> for LowercaseString {
///     fn into(self) -> String {
///         self.0
///     }
/// }
///
/// impl<DB, ST> FromSql<ST, DB> for LowercaseString
/// where
///     DB: Backend,
///     String: FromSql<ST, DB>,
/// {
///     fn from_sql(bytes: DB::RawValue<'_>) -> deserialize::Result<Self> {
///         String::from_sql(bytes)
///             .map(|s| LowercaseString(s.to_lowercase()))
///     }
/// }
///
/// #[derive(QueryableByName, PartialEq, Debug)]
/// struct User {
///     id: i32,
///     #[diesel(deserialize_as = LowercaseString)]
///     name: String,
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     let connection = &mut establish_connection();
/// let first_user = sql_query("SELECT * FROM users ORDER BY id LIMIT 1")
///     .get_result(connection)?;
/// let expected = User { id: 1, name: "sean".into() };
/// assert_eq!(expected, first_user);
/// #     Ok(())
/// # }
/// ```
///
/// The custom derive generates impls similar to the following one
///
/// ```rust
/// # extern crate diesel;
/// # extern crate dotenvy;
/// # include!("../../diesel/src/doctest_setup.rs");
/// # use schema::users;
/// # use diesel::sql_query;
/// # use diesel::deserialize::{self, QueryableByName, FromSql};
/// # use diesel::row::NamedRow;
/// # use diesel::backend::Backend;
/// #
/// #[derive(PartialEq, Debug)]
/// struct User {
///     id: i32,
///     name: String,
/// }
///
/// impl<DB> QueryableByName<DB> for User
/// where
///     DB: Backend,
///     i32: FromSql<diesel::dsl::SqlTypeOf<users::id>, DB>,
///     String: FromSql<diesel::dsl::SqlTypeOf<users::name>, DB>,
/// {
///     fn build<'a>(row: &impl NamedRow<'a, DB>) -> deserialize::Result<Self> {
///         let id = NamedRow::get::<diesel::dsl::SqlTypeOf<users::id>, _>(row, "id")?;
///         let name = NamedRow::get::<diesel::dsl::SqlTypeOf<users::name>, _>(row, "name")?;
///
///         Ok(Self { id, name })
///     }
/// }
///
/// # fn main() {
/// #     run_test();
/// # }
/// #
/// # fn run_test() -> QueryResult<()> {
/// #     let connection = &mut establish_connection();
/// let first_user = sql_query("SELECT * FROM users ORDER BY id LIMIT 1")
///     .get_result(connection)?;
/// let expected = User { id: 1, name: "Sean".into() };
/// assert_eq!(expected, first_user);
/// #     Ok(())
/// # }
/// ```
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(QueryableByName, attributes(diesel, table_name, column_name, sql_type))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(QueryableByName, attributes(diesel))
)]
pub fn derive_queryable_by_name(input: TokenStream) -> TokenStream {
    queryable_by_name::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements `Selectable`
///
/// To implement `Selectable` this derive needs to know the corresponding table
/// type. By default, it uses the `snake_case` type name with an added `s`.
/// It is possible to change this default by using `#[diesel(table_name = something)]`.
///
/// If the name of a field on your struct is different from the column in your
/// `table!` declaration, or if you're deriving this trait on a tuple struct,
/// you can annotate the field with `#[diesel(column_name = some_column)]`. For tuple
/// structs, all fields must have this annotation.
///
/// If a field is another struct which implements `Selectable`,
/// instead of a column, you can annotate that with `#[diesel(embed)]`.
/// Then all fields contained by that inner struct are selected as separate tuple.
/// Fields from an inner struct can come from a different table, as long as the
/// select clause is valid in the current query.
///
/// The derive enables using the `SelectableHelper::as_select` method to construct
/// select clauses, in order to use LoadDsl, you might also check the
/// `Queryable` trait and derive.
///
/// # Attributes
///
/// ## Type attributes
///
/// * `#[diesel(table_name = path::to::table)]`, specifies a path to the table for which the
///    current type is selectable. The path is relative to the current module.
///    If this attribute is not used, the type name converted to
///    `snake_case` with an added `s` is used as table name.
///
/// ## Optional Type attributes
///
/// * `#[diesel(check_for_backend(diesel::pg::Pg, diesel::mysql::Mysql))]`, instructs
///    the derive to generate additional code to identify potential type mismatches.
///    It accepts a list of backend types to check the types against. Using this option
///    will result in much better error messages in cases where some types in your `Queryable`
///    struct don't match. You need to specify the concrete database backend
///    this specific struct is indented to be used with, as otherwise rustc can't correctly
///    identify the required deserialization implementation.
///
/// ## Field attributes
///
/// * `#[diesel(column_name = some_column)]`, overrides the column name for
///    a given field. If not set, the name of the field is used as column
///    name.
/// * `#[diesel(embed)]`, specifies that the current field maps not only
///    a single database column, but is a type that implements
///    `Selectable` on its own
/// * `#[diesel(select_expression = some_custom_select_expression)]`, overrides
///   the entire select expression for the given field. It may be used to select with
///   custom tuples, or specify `select_expression = my_table::some_field.is_not_null()`,
///   or separate tables...
///   It should be used in conjunction with `select_expression_type` (described below)
/// * `#[diesel(select_expression_type = the_custom_select_expression_type]`, to be used
///   in conjunction with `select_expression` (described above).
///   For example: `#[diesel(select_expression_type = dsl::IsNotNull<my_table::some_field>)]`
#[proc_macro_derive(Selectable, attributes(diesel))]
pub fn derive_selectable(input: TokenStream) -> TokenStream {
    selectable::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implement necessary traits for adding a new sql type
///
/// This trait implements all necessary traits to define a
/// new sql type. This is useful for adding support for unsupported
/// or custom types on the sql side. The sql type will be usable for
/// all backends you specified via the attributes listed below.
///
/// This derive will implement `NotNull`, `HasSqlType` and `SingleValue`.
/// When using this derive macro,
/// you need to specify how the type is represented on various backends.
/// You don't need to specify every backend,
/// only the ones supported by your type.
///
/// For PostgreSQL, add `#[diesel(postgres_type(name = "pg_type_name", schema = "pg_schema_name"))]`
/// or `#[diesel(postgres_type(oid = "some_oid", array_oid = "some_oid"))]` for
/// builtin types.
/// For MySQL, specify which variant of `MysqlType` should be used
/// by adding `#[diesel(mysql_type(name = "Variant"))]`.
/// For SQLite, specify which variant of `SqliteType` should be used
/// by adding `#[diesel(sqlite_type(name = "Variant"))]`.
///
/// # Attributes
///
/// ## Type attributes
///
/// * `#[diesel(postgres_type(name = "TypeName", schema = "public"))]` specifies support for
///    a postgresql type with the name `TypeName` in the schema `public`. Prefer this variant
///    for types with no stable OID (== everything but the builtin types). It is possible to leaf
///    of the `schema` part. In that case, Diesel defaults to the default postgres search path.
/// * `#[diesel(postgres_type(oid = 42, array_oid = 142))]`, specifies support for a
///    postgresql type with the given `oid` and `array_oid`. This variant
///    should only be used with types that have a stable OID.
/// * `#[diesel(sqlite_type(name = "TypeName"))]`, specifies support for a sqlite type
///    with the given name. `TypeName` needs to be one of the possible values
///    in `SqliteType`
/// * `#[diesel(mysql_type(name = "TypeName"))]`, specifies support for a mysql type
///    with the given name. `TypeName` needs to be one of the possible values
///    in `MysqlType`
#[cfg_attr(
    all(not(feature = "without-deprecated"), feature = "with-deprecated"),
    proc_macro_derive(SqlType, attributes(diesel, postgres, sqlite_type, mysql_type))
)]
#[cfg_attr(
    any(feature = "without-deprecated", not(feature = "with-deprecated")),
    proc_macro_derive(SqlType, attributes(diesel))
)]
pub fn derive_sql_type(input: TokenStream) -> TokenStream {
    sql_type::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Implements `ValidGrouping`
///
/// This trait can be automatically derived for structs with no type parameters
/// which are never aggregate, as well as for structs which are `NonAggregate`
/// when all type parameters are `NonAggregate`. For example:
///
/// ```ignore
/// #[derive(ValidGrouping)]
/// struct LiteralOne;
///
/// #[derive(ValidGrouping)]
/// struct Plus<Lhs, Rhs>(Lhs, Rhs);
///
/// // The following impl will be generated:
///
/// impl<GroupByClause> ValidGrouping<GroupByClause> for LiteralOne {
///     type IsAggregate = is_aggregate::Never;
/// }
///
/// impl<Lhs, Rhs, GroupByClause> ValidGrouping<GroupByClause> for Plus<Lhs, Rhs>
/// where
///     Lhs: ValidGrouping<GroupByClause>,
///     Rhs: ValidGrouping<GroupByClause>,
///     Lhs::IsAggregate: MixedAggregates<Rhs::IsAggregate>,
/// {
///     type IsAggregate = <Lhs::IsAggregate as MixedAggregates<Rhs::IsAggregate>>::Output;
/// }
/// ```
///
/// For types which are always considered aggregate (such as an aggregate
/// function), annotate your struct with `#[diesel(aggregate)]` to set `IsAggregate`
/// explicitly to `is_aggregate::Yes`.
///
/// # Attributes
///
/// ## Optional container attributes
///
/// * `#[diesel(aggregate)]` for cases where the type represents an aggregating
///    SQL expression
#[proc_macro_derive(ValidGrouping, attributes(diesel))]
pub fn derive_valid_grouping(input: TokenStream) -> TokenStream {
    valid_grouping::derive(parse_macro_input!(input))
        .unwrap_or_else(syn::Error::into_compile_error)
        .into()
}

/// Declare a sql function for use in your code.
///
/// Diesel only provides support for a very small number of SQL functions.
/// This macro enables you to add additional functions from the SQL standard,
/// as well as any custom functions your application might have.
///
/// The syntax for this macro is very similar to that of a normal Rust function,
/// except the argument and return types will be the SQL types being used.
/// Typically, these types will come from [`diesel::sql_types`](../diesel/sql_types/index.html)
///
/// This macro will generate two items. A function with the name that you've
/// given, and a module with a helper type representing the return type of your
/// function. For example, this invocation:
///
/// ```ignore
/// sql_function!(fn lower(x: Text) -> Text);
/// ```
///
/// will generate this code:
///
/// ```ignore
/// pub fn lower<X>(x: X) -> lower::HelperType<X> {
///     ...
/// }
///
/// pub(crate) mod lower {
///     pub type HelperType<X> = ...;
/// }
/// ```
///
/// If you are using this macro for part of a library, where the function is
/// part of your public API, it is highly recommended that you re-export this
/// helper type with the same name as your function. This is the standard
/// structure:
///
/// ```ignore
/// pub mod functions {
///     use super::types::*;
///     use diesel::sql_types::*;
///
///     sql_function! {
///         /// Represents the Pg `LENGTH` function used with `tsvector`s.
///         fn length(x: TsVector) -> Integer;
///     }
/// }
///
/// pub mod helper_types {
///     /// The return type of `length(expr)`
///     pub type Length<Expr> = functions::length::HelperType<Expr>;
/// }
///
/// pub mod dsl {
///     pub use functions::*;
///     pub use helper_types::*;
/// }
/// ```
///
/// Most attributes given to this macro will be put on the generated function
/// (including doc comments).
///
/// # Adding Doc Comments
///
/// ```no_run
/// # extern crate diesel;
/// # use diesel::*;
/// #
/// # table! { crates { id -> Integer, name -> VarChar, } }
/// #
/// use diesel::sql_types::Text;
///
/// sql_function! {
///     /// Represents the `canon_crate_name` SQL function, created in
///     /// migration ....
///     fn canon_crate_name(a: Text) -> Text;
/// }
///
/// # fn main() {
/// # use self::crates::dsl::*;
/// let target_name = "diesel";
/// crates.filter(canon_crate_name(name).eq(canon_crate_name(target_name)));
/// // This will generate the following SQL
/// // SELECT * FROM crates WHERE canon_crate_name(crates.name) = canon_crate_name($1)
/// # }
/// ```
///
/// # Special Attributes
///
/// There are a handful of special attributes that Diesel will recognize. They
/// are:
///
/// - `#[aggregate]`
///   - Indicates that this is an aggregate function, and that `NonAggregate`
///     shouldn't be implemented.
/// - `#[sql_name = "name"]`
///   - The SQL to be generated is different from the Rust name of the function.
///     This can be used to represent functions which can take many argument
///     types, or to capitalize function names.
///
/// Functions can also be generic. Take the definition of `sum`, for example:
///
/// ```no_run
/// # extern crate diesel;
/// # use diesel::*;
/// #
/// # table! { crates { id -> Integer, name -> VarChar, } }
/// #
/// use diesel::sql_types::Foldable;
///
/// sql_function! {
///     #[aggregate]
///     #[sql_name = "SUM"]
///     fn sum<ST: Foldable>(expr: ST) -> ST::Sum;
/// }
///
/// # fn main() {
/// # use self::crates::dsl::*;
/// crates.select(sum(id));
/// # }
/// ```
///
/// # SQL Functions without Arguments
///
/// A common example is ordering a query using the `RANDOM()` sql function,
/// which can be implemented using `sql_function!` like this:
///
/// ```rust
/// # extern crate diesel;
/// # use diesel::*;
/// #
/// # table! { crates { id -> Integer, name -> VarChar, } }
/// #
/// sql_function!(fn random() -> Text);
///
/// # fn main() {
/// # use self::crates::dsl::*;
/// crates.order(random());
/// # }
/// ```
///
/// # Use with SQLite
///
/// On most backends, the implementation of the function is defined in a
/// migration using `CREATE FUNCTION`. On SQLite, the function is implemented in
/// Rust instead. You must call `register_impl` or
/// `register_nondeterministic_impl` with every connection before you can use
/// the function.
///
/// These functions will only be generated if the `sqlite` feature is enabled,
/// and the function is not generic.
/// SQLite doesn't support generic functions and variadic functions.
///
/// ```rust
/// # extern crate diesel;
/// # use diesel::*;
/// #
/// # #[cfg(feature = "sqlite")]
/// # fn main() {
/// #     run_test().unwrap();
/// # }
/// #
/// # #[cfg(not(feature = "sqlite"))]
/// # fn main() {
/// # }
/// #
/// use diesel::sql_types::{Integer, Double};
/// sql_function!(fn add_mul(x: Integer, y: Integer, z: Double) -> Double);
///
/// # #[cfg(feature = "sqlite")]
/// # fn run_test() -> Result<(), Box<dyn std::error::Error>> {
/// let connection = &mut SqliteConnection::establish(":memory:")?;
///
/// add_mul::register_impl(connection, |x: i32, y: i32, z: f64| {
///     (x + y) as f64 * z
/// })?;
///
/// let result = select(add_mul(1, 2, 1.5))
///     .get_result::<f64>(connection)?;
/// assert_eq!(4.5, result);
/// #     Ok(())
/// # }
/// ```
///
/// ## Panics
///
/// If an implementation of the custom function panics and unwinding is enabled, the panic is
/// caught and the function returns to libsqlite with an error. It can't propagate the panics due
/// to the FFI boundary.
///
/// This is the same for [custom aggregate functions](#custom-aggregate-functions).
///
/// ## Custom Aggregate Functions
///
/// Custom aggregate functions can be created in SQLite by adding an `#[aggregate]`
/// attribute inside `sql_function`. `register_impl` needs to be called on
/// the generated function with a type implementing the
/// [SqliteAggregateFunction](../diesel/sqlite/trait.SqliteAggregateFunction.html)
/// trait as a type parameter as shown in the examples below.
///
/// ```rust
/// # extern crate diesel;
/// # use diesel::*;
/// #
/// # #[cfg(feature = "sqlite")]
/// # fn main() {
/// #   run().unwrap();
/// # }
/// #
/// # #[cfg(not(feature = "sqlite"))]
/// # fn main() {
/// # }
/// use diesel::sql_types::Integer;
/// # #[cfg(feature = "sqlite")]
/// use diesel::sqlite::SqliteAggregateFunction;
///
/// sql_function! {
///     #[aggregate]
///     fn my_sum(x: Integer) -> Integer;
/// }
///
/// #[derive(Default)]
/// struct MySum { sum: i32 }
///
/// # #[cfg(feature = "sqlite")]
/// impl SqliteAggregateFunction<i32> for MySum {
///     type Output = i32;
///
///     fn step(&mut self, expr: i32) {
///         self.sum += expr;
///     }
///
///     fn finalize(aggregator: Option<Self>) -> Self::Output {
///         aggregator.map(|a| a.sum).unwrap_or_default()
///     }
/// }
/// # table! {
/// #     players {
/// #         id -> Integer,
/// #         score -> Integer,
/// #     }
/// # }
///
/// # #[cfg(feature = "sqlite")]
/// fn run() -> Result<(), Box<dyn (::std::error::Error)>> {
/// #    use self::players::dsl::*;
///     let connection = &mut SqliteConnection::establish(":memory:")?;
/// #    diesel::sql_query("create table players (id integer primary key autoincrement, score integer)")
/// #        .execute(connection)
/// #        .unwrap();
/// #    diesel::sql_query("insert into players (score) values (10), (20), (30)")
/// #        .execute(connection)
/// #        .unwrap();
///
///     my_sum::register_impl::<MySum, _>(connection)?;
///
///     let total_score = players.select(my_sum(score))
///         .get_result::<i32>(connection)?;
///
///     println!("The total score of all the players is: {}", total_score);
///
/// #    assert_eq!(60, total_score);
///     Ok(())
/// }
/// ```
///
/// With multiple function arguments, the arguments are passed as a tuple to `SqliteAggregateFunction`
///
/// ```rust
/// # extern crate diesel;
/// # use diesel::*;
/// #
/// # #[cfg(feature = "sqlite")]
/// # fn main() {
/// #   run().unwrap();
/// # }
/// #
/// # #[cfg(not(feature = "sqlite"))]
/// # fn main() {
/// # }
/// use diesel::sql_types::{Float, Nullable};
/// # #[cfg(feature = "sqlite")]
/// use diesel::sqlite::SqliteAggregateFunction;
///
/// sql_function! {
///     #[aggregate]
///     fn range_max(x0: Float, x1: Float) -> Nullable<Float>;
/// }
///
/// #[derive(Default)]
/// struct RangeMax<T> { max_value: Option<T> }
///
/// # #[cfg(feature = "sqlite")]
/// impl<T: Default + PartialOrd + Copy + Clone> SqliteAggregateFunction<(T, T)> for RangeMax<T> {
///     type Output = Option<T>;
///
///     fn step(&mut self, (x0, x1): (T, T)) {
/// #        let max = if x0 >= x1 {
/// #            x0
/// #        } else {
/// #            x1
/// #        };
/// #
/// #        self.max_value = match self.max_value {
/// #            Some(current_max_value) if max > current_max_value => Some(max),
/// #            None => Some(max),
/// #            _ => self.max_value,
/// #        };
///         // Compare self.max_value to x0 and x1
///     }
///
///     fn finalize(aggregator: Option<Self>) -> Self::Output {
///         aggregator?.max_value
///     }
/// }
/// # table! {
/// #     student_avgs {
/// #         id -> Integer,
/// #         s1_avg -> Float,
/// #         s2_avg -> Float,
/// #     }
/// # }
///
/// # #[cfg(feature = "sqlite")]
/// fn run() -> Result<(), Box<dyn (::std::error::Error)>> {
/// #    use self::student_avgs::dsl::*;
///     let connection = &mut SqliteConnection::establish(":memory:")?;
/// #    diesel::sql_query("create table student_avgs (id integer primary key autoincrement, s1_avg float, s2_avg float)")
/// #       .execute(connection)
/// #       .unwrap();
/// #    diesel::sql_query("insert into student_avgs (s1_avg, s2_avg) values (85.5, 90), (79.8, 80.1)")
/// #        .execute(connection)
/// #        .unwrap();
///
///     range_max::register_impl::<RangeMax<f32>, _, _>(connection)?;
///
///     let result = student_avgs.select(range_max(s1_avg, s2_avg))
///         .get_result::<Option<f32>>(connection)?;
///
///     if let Some(max_semester_avg) = result {
///         println!("The largest semester average is: {}", max_semester_avg);
///     }
///
/// #    assert_eq!(Some(90f32), result);
///     Ok(())
/// }
/// ```
#[proc_macro]
pub fn sql_function_proc(input: TokenStream) -> TokenStream {
    sql_function::expand(parse_macro_input!(input)).into()
}

/// This is an internal diesel macro that
/// helps to implement all traits for tuples of
/// various sizes
#[doc(hidden)]
#[proc_macro]
pub fn __diesel_for_each_tuple(input: TokenStream) -> TokenStream {
    diesel_for_each_tuple::expand(parse_macro_input!(input)).into()
}

/// This is an internal diesel macro that
/// helps to restrict the visibility of an item based
/// on a feature flag
#[doc(hidden)]
#[proc_macro_attribute]
pub fn __diesel_public_if(attrs: TokenStream, input: TokenStream) -> TokenStream {
    diesel_public_if::expand(parse_macro_input!(attrs), parse_macro_input!(input)).into()
}

/// Specifies that a table exists, and what columns it has. This will create a
/// new public module, with the same name, as the name of the table. In this
/// module, you will find a unit struct named `table`, and a unit struct with the
/// name of each column.
///
/// By default, this allows a maximum of 32 columns per table.
/// You can increase this limit to 64 by enabling the `64-column-tables` feature.
/// You can increase it to 128 by enabling the `128-column-tables` feature.
/// You can decrease it to 16 columns,
/// which improves compilation time,
/// by disabling the default features of Diesel.
/// Note that enabling 64 column tables or larger will substantially increase
/// the compile time of Diesel.
///
/// Example usage
/// -------------
///
/// ```rust
/// # extern crate diesel;
///
/// diesel::table! {
///     users {
///         id -> Integer,
///         name -> VarChar,
///         favorite_color -> Nullable<VarChar>,
///     }
/// }
/// ```
///
/// You may also specify a primary key if it is called something other than `id`.
/// Tables with no primary key aren't supported.
///
/// ```rust
/// # extern crate diesel;
///
/// diesel::table! {
///     users (non_standard_primary_key) {
///         non_standard_primary_key -> Integer,
///         name -> VarChar,
///         favorite_color -> Nullable<VarChar>,
///     }
/// }
/// ```
///
/// For tables with composite primary keys, list all the columns in the primary key.
///
/// ```rust
/// # extern crate diesel;
///
/// diesel::table! {
///     followings (user_id, post_id) {
///         user_id -> Integer,
///         post_id -> Integer,
///         favorited -> Bool,
///     }
/// }
/// # fn main() {
/// #     use diesel::prelude::Table;
/// #     use self::followings::dsl::*;
/// #     // Poor man's assert_eq! -- since this is type level this would fail
/// #     // to compile if the wrong primary key were generated
/// #     let (user_id {}, post_id {}) = followings.primary_key();
/// # }
/// ```
///
/// If you are using types that aren't from Diesel's core types, you can specify
/// which types to import.
///
/// ```
/// # extern crate diesel;
/// # mod diesel_full_text_search {
/// #     #[derive(diesel::sql_types::SqlType)]
/// #     pub struct TsVector;
/// # }
///
/// diesel::table! {
///     use diesel::sql_types::*;
/// #    use crate::diesel_full_text_search::*;
/// # /*
///     use diesel_full_text_search::*;
/// # */
///
///     posts {
///         id -> Integer,
///         title -> Text,
///         keywords -> TsVector,
///     }
/// }
/// # fn main() {}
/// ```
///
/// If you want to add documentation to the generated code, you can use the
/// following syntax:
///
/// ```
/// # extern crate diesel;
///
/// diesel::table! {
///     /// The table containing all blog posts
///     posts {
///         /// The post's unique id
///         id -> Integer,
///         /// The post's title
///         title -> Text,
///     }
/// }
/// ```
///
/// If you have a column with the same name as a Rust reserved keyword, you can use
/// the `sql_name` attribute like this:
///
/// ```
/// # extern crate diesel;
///
/// diesel::table! {
///     posts {
///         id -> Integer,
///         /// This column is named `mytype` but references the table `type` column.
///         #[sql_name = "type"]
///         mytype -> Text,
///     }
/// }
/// ```
///
/// This module will also contain several helper types:
///
/// dsl
/// ---
///
/// This simply re-exports the table, renamed to the same name as the module,
/// and each of the columns. This is useful to glob import when you're dealing
/// primarily with one table, to allow writing `users.filter(name.eq("Sean"))`
/// instead of `users::table.filter(users::name.eq("Sean"))`.
///
/// `all_columns`
/// -----------
///
/// A constant will be assigned called `all_columns`. This is what will be
/// selected if you don't otherwise specify a select clause. It's type will be
/// `table::AllColumns`. You can also get this value from the
/// `Table::all_columns` function.
///
/// star
/// ----
///
/// This will be the qualified "star" expression for this table (e.g.
/// `users.*`). Internally, we read columns by index, not by name, so this
/// column is not safe to read data out of, and it has had its SQL type set to
/// `()` to prevent accidentally using it as such. It is sometimes useful for
/// counting statements, however. It can also be accessed through the `Table.star()`
/// method.
///
/// `SqlType`
/// -------
///
/// A type alias called `SqlType` will be created. It will be the SQL type of
/// `all_columns`. The SQL type is needed for things like returning boxed
/// queries.
///
/// `BoxedQuery`
/// ----------
///
/// ```ignore
/// pub type BoxedQuery<'a, DB, ST = SqlType> = BoxedSelectStatement<'a, ST, table, DB>;
/// ```
#[proc_macro]
pub fn table_proc(input: TokenStream) -> TokenStream {
    match syn::parse(input) {
        Ok(input) => table::expand(input).into(),
        Err(_) => quote::quote! {
            compile_error!(
                "Invalid `table!` syntax. Please see the `table!` macro docs for more info.\n\
                 Docs available at: `https://docs.diesel.rs/master/diesel/macro.table.html`\n"
            );
        }
        .into(),
    }
}

/// This derives implements [`diesel::Connection`] and related traits for an enum of
/// connections to different databases.
///
/// By applying this derive to such an enum, you can use the enum as a connection type in
/// any location all the inner connections are valid. This derive supports enum
/// variants containing a single tuple field. Each tuple field type must implement
/// `diesel::Connection` and a number of related traits. Connection types form Diesel itself
/// as well as third party connection types are supported by this derive.
///
/// The implementation of [`diesel::Connection::establish`] tries to establish
/// a new connection with the given connection string in the order the connections
/// are specified in the enum. If one connection fails, it tries the next one and so on.
/// That means that as soon as more than one connection type accepts a certain connection
/// string the first matching type in your enum will always establish the connection. This
/// is especially important if one of the connection types is [`diesel::SqliteConnection`]
/// as this connection type accepts arbitrary paths. It should normally place as last entry
/// in your enum. If you want control of which connection type is created, just construct the
/// corresponding enum manually by first establishing the connection via the inner type and then
/// wrap the result into the enum.
///
/// # Example
/// ```
/// # extern crate diesel;
/// # use diesel::result::QueryResult;
/// use diesel::prelude::*;
///
/// #[derive(diesel::MultiConnection)]
/// pub enum AnyConnection {
/// #   #[cfg(feature = "postgres")]
///     Postgresql(diesel::PgConnection),
/// #   #[cfg(feature = "mysql")]
///     Mysql(diesel::MysqlConnection),
/// #   #[cfg(feature = "sqlite")]
///     Sqlite(diesel::SqliteConnection),
/// }
///
/// diesel::table! {
///     users {
///         id -> Integer,
///         name -> Text,
///     }
/// }
///
/// fn use_multi(conn: &mut AnyConnection) -> QueryResult<()> {
///    // Use the connection enum as any other connection type
///    // for inserting/updating/loading/…
///    diesel::insert_into(users::table)
///        .values(users::name.eq("Sean"))
///        .execute(conn)?;
///
///    let users = users::table.load::<(i32, String)>(conn)?;
///
///    // Match on the connection type to access
///    // the inner connection. This allows us then to use
///    // backend specific methods.
/// #    #[cfg(feature = "postgres")]
///    if let AnyConnection::Postgresql(ref mut conn) = conn {
///        // perform a postgresql specific query here
///        let users = users::table.load::<(i32, String)>(conn)?;
///    }
///
///    Ok(())
/// }
///
/// # fn main() {}
/// ```
///
/// # Limitations
///
/// The derived connection implementation can only cover the common subset of
/// all inner connection types. So, if one backend doesn't support certain SQL features,
/// like for example, returning clauses, the whole connection implementation doesn't
/// support this feature. In addition, only a limited set of SQL types is supported:
///
/// * `diesel::sql_types::SmallInt`
/// * `diesel::sql_types::Integer`
/// * `diesel::sql_types::BigInt`
/// * `diesel::sql_types::Double`
/// * `diesel::sql_types::Float`
/// * `diesel::sql_types::Text`
/// * `diesel::sql_types::Date`
/// * `diesel::sql_types::Time`
/// * `diesel::sql_types::Timestamp`
///
/// Support for additional types can be added by providing manual implementations of
/// `HasSqlType`, `FromSql` and `ToSql` for the corresponding type + the generated
/// database backend.
#[proc_macro_derive(MultiConnection)]
pub fn derive_multiconnection(input: TokenStream) -> TokenStream {
    multiconnection::derive(syn::parse_macro_input!(input)).into()
}