//! 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::{progress_report::ProgressReport, Result, Verbosity}; pub fn run( 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) = 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(); 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::>(); 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 -> (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(()) }