mir_analyzer/

file_analyzer.rs

//! Per-file analysis entry point for incremental analysis.
//!
//! [`FileAnalyzer`] runs a **single** body-analysis pass against an
//! [`AnalysisSession`] snapshot. In the eager-static-input model the workspace
//! symbol index is built up front by the background indexer
//! ([`AnalysisSession::index_batch`]), so `find_class_like` resolves vendor
//! classes directly — there is no lazy-load / retry loop. The only on-demand
//! work is [`AnalysisSession::priority_index_for_ast`], which faults in the
//! open file's *direct* references if the background walk hasn't reached them
//! yet, keeping warm-up free of transient false positives.
//!
//! For batch multi-file analysis, use [`BatchFileAnalyzer::analyze_batch`]
//! which parallelizes analysis across multiple pre-parsed files.

use std::sync::Arc;

use mir_issues::Issue;
use php_ast::owned::Program;
use php_rs_parser::source_map::SourceMap;
use rayon::prelude::*;

use crate::body_analysis::BodyAnalyzer;
use crate::db::MirDatabase;
use crate::session::AnalysisSession;
use crate::symbol::ResolvedSymbol;

/// Result of a single-file analysis.
pub struct FileAnalysis {
    pub issues: Vec<Issue>,
    pub symbols: Vec<ResolvedSymbol>,
}

impl FileAnalysis {
    /// Return the innermost resolved symbol whose span contains `byte_offset`,
    /// or `None` if no symbol was recorded at that position.
    ///
    /// Entry point for hover / go-to-definition flows: callers map
    /// (line, column) → byte offset → resolved symbol, then look up the
    /// symbol's definition via [`crate::AnalysisSession::definition_of`] or
    /// type info via [`ResolvedSymbol::resolved_type`].
    pub fn symbol_at(&self, byte_offset: u32) -> Option<&ResolvedSymbol> {
        self.symbols
            .iter()
            .filter(|s| s.span.start <= byte_offset && byte_offset < s.span.end)
            .min_by_key(|s| s.span.end - s.span.start)
    }
}

/// Per-file body analysis analyzer bound to an [`AnalysisSession`]. Cheap to
/// construct — typically held transiently per analysis call.
pub struct FileAnalyzer<'a> {
    session: &'a AnalysisSession,
}

impl<'a> FileAnalyzer<'a> {
    pub fn new(session: &'a AnalysisSession) -> Self {
        Self { session }
    }

    /// Run a single body-analysis pass against a frozen db snapshot.
    ///
    /// `priority_index_for_ast` runs first to fault in any of this file's
    /// direct class references not yet reached by the background indexer; then
    /// one snapshot is analyzed and its reference locations committed. The lock
    /// is not held during analysis, so concurrent edits and reads proceed.
    pub fn analyze(
        &self,
        file: Arc<str>,
        source: &str,
        program: &Program,
        source_map: &SourceMap,
    ) -> FileAnalysis {
        crate::metrics::record_file_analysis();

        // Priority-index the buffer's direct class references so any not yet
        // reached by the background indexer resolve in this single pass (no
        // transient false UndefinedClass during warm-up). Once indexing
        // completes this is a no-op.
        // Capture (text, generation) BEFORE the warm-up: if a concurrent edit
        // swaps the input text mid-flight, the stored Arc no longer matches
        // and the mark is dead on arrival — the safe direction.
        let prepare_generation = self.session.prepare_generation_snapshot();
        let ingested_text = {
            let db = self.session.snapshot_db();
            db.lookup_source_file(file.as_ref())
                .map(|sf| sf.text(&db as &dyn crate::db::MirDatabase))
        };
        self.session
            .prepare_ast_for_analysis(program, file.as_ref());
        // Record the warm-up so later Phase-1 sweeps (references, dependent
        // re-analysis) skip this file's parse + AST walk while its salsa
        // input text is unchanged.
        if let Some(text) = ingested_text {
            self.session
                .mark_prepared_for_analysis(&file, text, prepare_generation);
        }

        let _scope = crate::metrics::BodyAnalysisScope::new();

        // Single pass against a frozen snapshot. With the eager-static-input
        // model the workspace index is complete (or priority-indexed for this
        // file's direct refs), so there are no body-analysis "misses" to fault
        // in — no retry loop, no whole-file re-analysis.
        let db = self.session.snapshot_db();
        let driver = BodyAnalyzer::new(&db, self.session.php_version());
        let (issues, symbols) = driver.analyze_bodies(program, file.clone(), source, source_map);
        self.session
            .commit_ref_locs_batch(db.take_pending_ref_locs());
        FileAnalysis { issues, symbols }
    }
}

/// Batch file analyzer for parallel multi-file analysis.
///
/// `BatchFileAnalyzer` processes pre-parsed files in parallel using rayon,
/// making it efficient for analyzing many files at once (e.g., cold-start analysis).
pub struct BatchFileAnalyzer<'a> {
    session: &'a AnalysisSession,
}

/// A pre-parsed file ready for batch analysis.
pub struct ParsedFile {
    pub(crate) file: Arc<str>,
    pub(crate) source: Arc<str>,
    pub(crate) program: Program,
    pub(crate) source_map: SourceMap,
}

impl ParsedFile {
    /// File path this `ParsedFile` represents.
    pub fn file(&self) -> &Arc<str> {
        &self.file
    }

    /// Source text for this file.
    pub fn source(&self) -> &Arc<str> {
        &self.source
    }

    /// Create a `ParsedFile` from an owned program and source map.
    pub fn new(file: Arc<str>, source: Arc<str>, program: Program, source_map: SourceMap) -> Self {
        Self {
            file,
            source,
            program,
            source_map,
        }
    }
}

impl<'a> BatchFileAnalyzer<'a> {
    pub fn new(session: &'a AnalysisSession) -> Self {
        Self { session }
    }

    /// Analyze multiple pre-parsed files in parallel.
    ///
    /// Each rayon worker gets its own cloned database snapshot, so concurrent
    /// analysis proceeds without lock contention on the session.
    pub fn analyze_batch(&self, files: Vec<ParsedFile>) -> Vec<(Arc<str>, FileAnalysis)> {
        // First pass: collect all ASTs and auto-discover stubs.
        // Also lazy-load vendor autoload.files globals once so they are in the
        // workspace index before the parallel analysis snapshot is taken.
        self.session.ensure_vendor_eager_functions();
        files.iter().for_each(|file| {
            self.session.ensure_stubs_for_ast(&file.program);
        });

        // Second pass: analyze files in parallel.
        // Each rayon worker gets its own database clone (Salsa is Send but !Sync).
        let db = self.session.snapshot_db();
        let results: Vec<(Arc<str>, FileAnalysis, Vec<crate::db::RefLoc>)> = files
            .into_par_iter()
            .map_with(db, |db, file| {
                let driver = BodyAnalyzer::new(db as &dyn MirDatabase, self.session.php_version());
                let (issues, symbols) = driver.analyze_bodies(
                    &file.program,
                    file.file.clone(),
                    &file.source,
                    &file.source_map,
                );
                let pending = db.take_pending_ref_locs();
                let analysis = FileAnalysis { issues, symbols };
                (file.file, analysis, pending)
            })
            .collect();
        let mut all_ref_locs = Vec::new();
        let mut out = Vec::with_capacity(results.len());
        for (file, analysis, ref_locs) in results {
            all_ref_locs.extend(ref_locs);
            out.push((file, analysis));
        }
        self.session.commit_ref_locs_batch(all_ref_locs);
        out
    }
}