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|
use std::{collections::HashSet, fmt::Write, path::Path, time::Instant};
use ra_db::SourceDatabase;
use ra_hir::{Crate, HasBodySource, HasSource, HirDisplay, ImplItem, ModuleDef, Ty};
use ra_syntax::AstNode;
use crate::Result;
pub fn run(verbose: bool, memory_usage: bool, path: &Path, only: Option<&str>) -> Result<()> {
let db_load_time = Instant::now();
let (mut host, roots) = ra_batch::load_cargo(path)?;
let db = host.raw_database();
println!("Database loaded, {} roots, {:?}", roots.len(), db_load_time.elapsed());
let analysis_time = Instant::now();
let mut num_crates = 0;
let mut visited_modules = HashSet::new();
let mut visit_queue = Vec::new();
for (source_root_id, project_root) in roots {
if project_root.is_member() {
for krate in Crate::source_root_crates(db, source_root_id) {
num_crates += 1;
let module =
krate.root_module(db).expect("crate in source root without root module");
visit_queue.push(module);
}
}
}
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_block in module.impl_blocks(db) {
for item in impl_block.items(db) {
num_decls += 1;
if let ImplItem::Method(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());
let inference_time = Instant::now();
let bar = indicatif::ProgressBar::with_draw_target(
funcs.len() as u64,
indicatif::ProgressDrawTarget::stderr_nohz(),
);
bar.set_style(
indicatif::ProgressStyle::default_bar().template("{wide_bar} {pos}/{len}\n{msg}"),
);
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 mut msg = format!("processing: {}", name);
if verbose {
let src = f.source(db);
let original_file = src.file_id.original_file(db);
let path = db.file_relative_path(original_file);
let syntax_range = src.ast.syntax().text_range();
write!(msg, " ({:?} {})", path, syntax_range).unwrap();
}
bar.set_message(&msg);
if let Some(only_name) = only {
if name.to_string() != only_name {
continue;
}
}
let body = f.body(db);
let inference_result = f.infer(db);
for (expr_id, _) in body.exprs() {
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 let Some(mismatch) = inference_result.type_mismatch_for_expr(expr_id) {
num_type_mismatches += 1;
if verbose {
let src = f.expr_source(db, expr_id);
if let Some(src) = src {
// FIXME: it might be nice to have a function (on Analysis?) that goes from Source<T> -> (LineCol, LineCol) directly
let original_file = src.file_id.original_file(db);
let path = db.file_relative_path(original_file);
let line_index = host.analysis().file_line_index(original_file).unwrap();
let (start, end) = (
line_index.line_col(src.ast.syntax().text_range().start()),
line_index.line_col(src.ast.syntax().text_range().end()),
);
bar.println(format!(
"{} {}:{}-{}:{}: Expected {}, got {}",
path.display(),
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)
));
}
}
}
}
bar.inc(1);
}
bar.finish_and_clear();
println!("Total expressions: {}", num_exprs);
println!(
"Expressions of unknown type: {} ({}%)",
num_exprs_unknown,
(num_exprs_unknown * 100 / num_exprs)
);
println!(
"Expressions of partially unknown type: {} ({}%)",
num_exprs_partially_unknown,
(num_exprs_partially_unknown * 100 / num_exprs)
);
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 {
drop(db);
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(())
}
|
