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
|
//! Fully type-check project and print various stats, like the number of type
//! errors.
use std::{path::Path, time::Instant};
use itertools::Itertools;
use rand::{seq::SliceRandom, thread_rng};
use rustc_hash::FxHashSet;
use hir::{
db::{AstDatabase, DefDatabase, HirDatabase},
original_range, AssocItem, Crate, HasSource, HirDisplay, ModuleDef,
};
use hir_def::FunctionId;
use hir_ty::{Ty, TypeWalk};
use ra_db::SourceDatabaseExt;
use ra_syntax::AstNode;
use stdx::format_to;
use crate::cli::{load_cargo::load_cargo, progress_report::ProgressReport, Result, Verbosity};
pub fn analysis_stats(
verbosity: Verbosity,
memory_usage: bool,
path: &Path,
only: Option<&str>,
with_deps: bool,
randomize: bool,
load_output_dirs: bool,
with_proc_macro: bool,
) -> Result<()> {
let db_load_time = Instant::now();
let (mut host, vfs) = load_cargo(path, load_output_dirs, with_proc_macro)?;
let db = host.raw_database();
println!("Database loaded {:?}", db_load_time.elapsed());
let analysis_time = Instant::now();
let mut num_crates = 0;
let mut visited_modules = FxHashSet::default();
let mut visit_queue = Vec::new();
let mut krates = Crate::all(db);
if randomize {
krates.shuffle(&mut thread_rng());
}
for krate in krates {
let module = krate.root_module(db).expect("crate without root module");
let file_id = module.definition_source(db).file_id;
let file_id = file_id.original_file(db);
let source_root = db.file_source_root(file_id);
let source_root = db.source_root(source_root);
if !source_root.is_library || with_deps {
num_crates += 1;
visit_queue.push(module);
}
}
if randomize {
visit_queue.shuffle(&mut thread_rng());
}
println!("Crates in this dir: {}", num_crates);
let mut num_decls = 0;
let mut funcs = Vec::new();
while let Some(module) = visit_queue.pop() {
if visited_modules.insert(module) {
visit_queue.extend(module.children(db));
for decl in module.declarations(db) {
num_decls += 1;
if let ModuleDef::Function(f) = decl {
funcs.push(f);
}
}
for impl_def in module.impl_defs(db) {
for item in impl_def.items(db) {
num_decls += 1;
if let AssocItem::Function(f) = item {
funcs.push(f);
}
}
}
}
}
println!("Total modules found: {}", visited_modules.len());
println!("Total declarations: {}", num_decls);
println!("Total functions: {}", funcs.len());
println!("Item Collection: {:?}, {}", analysis_time.elapsed(), ra_prof::memory_usage());
if randomize {
funcs.shuffle(&mut thread_rng());
}
let inference_time = Instant::now();
let mut bar = match verbosity {
Verbosity::Quiet | Verbosity::Spammy => ProgressReport::hidden(),
_ => ProgressReport::new(funcs.len() as u64),
};
bar.tick();
let mut num_exprs = 0;
let mut num_exprs_unknown = 0;
let mut num_exprs_partially_unknown = 0;
let mut num_type_mismatches = 0;
for f in funcs {
let name = f.name(db);
let full_name = f
.module(db)
.path_to_root(db)
.into_iter()
.rev()
.filter_map(|it| it.name(db))
.chain(Some(f.name(db)))
.join("::");
if let Some(only_name) = only {
if name.to_string() != only_name && full_name != only_name {
continue;
}
}
let mut msg = format!("processing: {}", full_name);
if verbosity.is_verbose() {
let src = f.source(db);
let original_file = src.file_id.original_file(db);
let path = vfs.file_path(original_file);
let syntax_range = src.value.syntax().text_range();
format_to!(msg, " ({} {:?})", path, syntax_range);
}
if verbosity.is_spammy() {
bar.println(msg.to_string());
}
bar.set_message(&msg);
let f_id = FunctionId::from(f);
let body = db.body(f_id.into());
let inference_result = db.infer(f_id.into());
let (previous_exprs, previous_unknown, previous_partially_unknown) =
(num_exprs, num_exprs_unknown, num_exprs_partially_unknown);
for (expr_id, _) in body.exprs.iter() {
let ty = &inference_result[expr_id];
num_exprs += 1;
if let Ty::Unknown = ty {
num_exprs_unknown += 1;
} else {
let mut is_partially_unknown = false;
ty.walk(&mut |ty| {
if let Ty::Unknown = ty {
is_partially_unknown = true;
}
});
if is_partially_unknown {
num_exprs_partially_unknown += 1;
}
}
if only.is_some() && verbosity.is_spammy() {
// in super-verbose mode for just one function, we print every single expression
let (_, sm) = db.body_with_source_map(f_id.into());
let src = sm.expr_syntax(expr_id);
if let Ok(src) = src {
let node = {
let root = db.parse_or_expand(src.file_id).unwrap();
src.value.to_node(&root)
};
let original_file = src.file_id.original_file(db);
let line_index = host.analysis().file_line_index(original_file).unwrap();
let text_range = node.syntax().text_range();
let (start, end) = (
line_index.line_col(text_range.start()),
line_index.line_col(text_range.end()),
);
bar.println(format!(
"{}:{}-{}:{}: {}",
start.line + 1,
start.col_utf16,
end.line + 1,
end.col_utf16,
ty.display(db)
));
} else {
bar.println(format!("unknown location: {}", ty.display(db)));
}
}
if let Some(mismatch) = inference_result.type_mismatch_for_expr(expr_id) {
num_type_mismatches += 1;
if verbosity.is_verbose() {
let (_, sm) = db.body_with_source_map(f_id.into());
let src = sm.expr_syntax(expr_id);
if let Ok(src) = src {
// FIXME: it might be nice to have a function (on Analysis?) that goes from Source<T> -> (LineCol, LineCol) directly
// But also, we should just turn the type mismatches into diagnostics and provide these
let root = db.parse_or_expand(src.file_id).unwrap();
let node = src.map(|e| e.to_node(&root).syntax().clone());
let original_range = original_range(db, node.as_ref());
let path = vfs.file_path(original_range.file_id);
let line_index =
host.analysis().file_line_index(original_range.file_id).unwrap();
let text_range = original_range.range;
let (start, end) = (
line_index.line_col(text_range.start()),
line_index.line_col(text_range.end()),
);
bar.println(format!(
"{} {}:{}-{}:{}: Expected {}, got {}",
path,
start.line + 1,
start.col_utf16,
end.line + 1,
end.col_utf16,
mismatch.expected.display(db),
mismatch.actual.display(db)
));
} else {
bar.println(format!(
"{}: Expected {}, got {}",
name,
mismatch.expected.display(db),
mismatch.actual.display(db)
));
}
}
}
}
if verbosity.is_spammy() {
bar.println(format!(
"In {}: {} exprs, {} unknown, {} partial",
full_name,
num_exprs - previous_exprs,
num_exprs_unknown - previous_unknown,
num_exprs_partially_unknown - previous_partially_unknown
));
}
bar.inc(1);
}
bar.finish_and_clear();
println!("Total expressions: {}", num_exprs);
println!(
"Expressions of unknown type: {} ({}%)",
num_exprs_unknown,
if num_exprs > 0 { num_exprs_unknown * 100 / num_exprs } else { 100 }
);
println!(
"Expressions of partially unknown type: {} ({}%)",
num_exprs_partially_unknown,
if num_exprs > 0 { num_exprs_partially_unknown * 100 / num_exprs } else { 100 }
);
println!("Type mismatches: {}", num_type_mismatches);
println!("Inference: {:?}, {}", inference_time.elapsed(), ra_prof::memory_usage());
println!("Total: {:?}, {}", analysis_time.elapsed(), ra_prof::memory_usage());
if memory_usage {
for (name, bytes) in host.per_query_memory_usage() {
println!("{:>8} {}", bytes, name)
}
let before = ra_prof::memory_usage();
drop(host);
println!("leftover: {}", before.allocated - ra_prof::memory_usage().allocated)
}
Ok(())
}
|