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|
//! FIXME: write short doc here
use std::{collections::HashSet, fmt::Write, path::Path, time::Instant};
use hir::{
db::{DefDatabase, HirDatabase},
AssocItem, Crate, HasSource, HirDisplay, ModuleDef,
};
use hir_def::FunctionId;
use hir_ty::{Ty, TypeWalk};
use itertools::Itertools;
use ra_db::SourceDatabaseExt;
use ra_syntax::AstNode;
use rand::{seq::SliceRandom, thread_rng};
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,
) -> Result<()> {
let db_load_time = Instant::now();
let (mut host, roots) = 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();
let members =
roots
.into_iter()
.filter_map(|(source_root_id, project_root)| {
if with_deps || project_root.is_member() {
Some(source_root_id)
} else {
None
}
})
.collect::<HashSet<_>>();
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;
if members.contains(&db.file_source_root(file_id.original_file(db))) {
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_block in module.impl_blocks(db) {
for item in impl_block.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 = db.file_relative_path(original_file);
let syntax_range = src.value.syntax().text_range();
write!(msg, " ({:?} {})", path, syntax_range).unwrap();
}
if verbosity.is_spammy() {
bar.println(format!("{}", msg));
}
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 Some(src) = src {
let original_file = src.file_id.original_file(db);
let line_index = host.analysis().file_line_index(original_file).unwrap();
let text_range = src.value.either(
|it| it.syntax_node_ptr().range(),
|it| it.syntax_node_ptr().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 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 text_range = src.value.either(
|it| it.syntax_node_ptr().range(),
|it| it.syntax_node_ptr().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(())
}
|
