cqs 1.22.0

Code intelligence and RAG for AI agents. Semantic search, call graphs, impact analysis, type dependencies, and smart context assembly — in single tool calls. 54 languages + L5X/L5K PLC exports, 91.2% Recall@1 (BGE-large), 0.951 MRR (296 queries). Local ML, GPU-accelerated.
Documentation
//! Call graph dispatch handlers: callers, callees, deps, impact, test-map, trace, related, impact-diff.

use anyhow::Result;

use super::super::BatchContext;

/// Dispatches a dependency query for a given name, returning either the types used by it or the code locations that use it.
///
/// # Arguments
///
/// * `ctx` - The batch processing context containing the store and root path
/// * `name` - The name of the type or function to query dependencies for
/// * `reverse` - If `true`, returns types used by `name`; if `false`, returns code locations that use `name`
///
/// # Returns
///
/// A JSON value containing:
/// - When `reverse` is `true`: an object with the queried function name, a list of types it uses (with type names and edge kinds), and the count of types
/// - When `reverse` is `false`: an array of objects describing code locations that use the type, each with name, file path, line number, and chunk type
///
/// # Errors
///
/// Returns an error if the store query fails.
pub(in crate::cli::batch) fn dispatch_deps(
    ctx: &BatchContext,
    name: &str,
    reverse: bool,
    cross_project: bool,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_deps", name, reverse, cross_project).entered();
    if cross_project {
        tracing::warn!("cross-project deps not yet supported, returning local result");
    }

    if reverse {
        let types = ctx.store().get_types_used_by(name)?;
        let output = crate::cli::commands::build_deps_reverse(name, &types);
        Ok(serde_json::to_value(&output)?)
    } else {
        let users = ctx.store().get_type_users(name)?;
        let output = crate::cli::commands::build_deps_forward(&users, &ctx.root);
        Ok(serde_json::to_value(&output)?)
    }
}

/// Retrieves and serializes caller information for a given function name.
///
/// This function fetches the complete caller data for the specified function name from the batch context's store, then transforms it into a JSON array containing the caller's name, normalized file path, and line number.
///
/// # Arguments
///
/// * `ctx` - The batch context containing the store to query for caller information
/// * `name` - The name of the function for which to retrieve callers
///
/// # Returns
///
/// A `Result` containing a JSON array of caller objects, each with `name`, `file`, and `line` fields. Returns an error if the store query fails.
pub(in crate::cli::batch) fn dispatch_callers(
    ctx: &BatchContext,
    name: &str,
    cross_project: bool,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_callers", name, cross_project).entered();

    if cross_project {
        let mut cross_ctx = cqs::cross_project::CrossProjectContext::from_config(&ctx.root)?;
        let callers = cross_ctx.get_callers_cross(name)?;
        return Ok(serde_json::to_value(&callers)?);
    }

    let callers = ctx.store().get_callers_full(name)?;
    let output = crate::cli::commands::build_callers(&callers);
    Ok(serde_json::to_value(&output)?)
}

/// Dispatches a request to retrieve all functions called by a specified function.
///
/// # Arguments
///
/// * `ctx` - The batch processing context containing the store for querying callees
/// * `name` - The name of the function whose callees should be retrieved
///
/// # Returns
///
/// Returns a JSON object containing:
/// - `function`: the name of the queried function
/// - `calls`: an array of objects with `name` and `line` fields for each callee
/// - `count`: the total number of callees found
///
/// # Errors
///
/// Returns an error if the store fails to retrieve the callees for the given function name.
pub(in crate::cli::batch) fn dispatch_callees(
    ctx: &BatchContext,
    name: &str,
    cross_project: bool,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_callees", name, cross_project).entered();

    if cross_project {
        let mut cross_ctx = cqs::cross_project::CrossProjectContext::from_config(&ctx.root)?;
        let callees = cross_ctx.get_callees_cross(name)?;
        return Ok(serde_json::to_value(&callees)?);
    }

    let callees = ctx.store().get_callees_full(name, None)?;
    let output = crate::cli::commands::build_callees(name, &callees);
    Ok(serde_json::to_value(&output)?)
}

/// Analyzes the impact of changes to a target and returns the results as JSON.
///
/// # Arguments
///
/// * `ctx` - The batch execution context containing the code store and root path.
/// * `name` - The name of the target to analyze.
/// * `depth` - The maximum depth for impact analysis, clamped between 1 and 10.
/// * `do_suggest_tests` - Whether to include test suggestions in the output.
/// * `include_types` - Whether to include type information in the impact analysis.
///
/// # Returns
///
/// A JSON value containing the impact analysis results. If `do_suggest_tests` is true, includes a `test_suggestions` array with recommended test names, files, functions, patterns, and inline flags.
///
/// # Errors
///
/// Returns an error if the target cannot be resolved or if the impact analysis fails.
pub(in crate::cli::batch) fn dispatch_impact(
    ctx: &BatchContext,
    name: &str,
    depth: usize,
    do_suggest_tests: bool,
    include_types: bool,
    cross_project: bool,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_impact", name, cross_project).entered();
    let depth = depth.clamp(1, 10);

    if cross_project {
        let mut cross_ctx = cqs::cross_project::CrossProjectContext::from_config(&ctx.root)?;
        let result = cqs::cross_project::analyze_impact_cross(
            &mut cross_ctx,
            name,
            depth,
            do_suggest_tests,
            include_types,
        )?;
        let json = cqs::impact_to_json(&result);
        return Ok(json);
    }

    let resolved = cqs::resolve_target(&ctx.store(), name)?;
    let chunk = &resolved.chunk;

    let result = cqs::analyze_impact(
        &ctx.store(),
        &chunk.name,
        &ctx.root,
        &cqs::ImpactOptions {
            depth,
            include_types,
        },
    )?;

    let mut json = cqs::impact_to_json(&result);

    if do_suggest_tests {
        let suggestions = cqs::suggest_tests(&ctx.store(), &result, &ctx.root);
        let suggestions_json = cqs::format_test_suggestions(&suggestions);
        if let Some(obj) = json.as_object_mut() {
            obj.insert(
                "test_suggestions".into(),
                serde_json::json!(suggestions_json),
            );
        }
    }

    Ok(json)
}

/// Performs a reverse breadth-first search through the call graph to find all test chunks that call a specified target chunk, up to a maximum depth.
///
/// # Arguments
///
/// * `ctx` - The batch context containing the store and call graph information
/// * `name` - The name of the target chunk to search for callers
/// * `max_depth` - The maximum depth to traverse in the call graph (0 means only direct callers)
///
/// # Returns
///
/// Returns a `Result` containing a `serde_json::Value` representing the test matches found, including their names, file locations, line numbers, depths, and call chains.
///
/// # Errors
///
/// Returns an error if the target chunk cannot be resolved, if the call graph cannot be built, or if test chunks cannot be retrieved from the store.
pub(in crate::cli::batch) fn dispatch_test_map(
    ctx: &BatchContext,
    name: &str,
    max_depth: usize,
    cross_project: bool,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_test_map", name, cross_project).entered();

    if cross_project {
        let mut cross_ctx = cqs::cross_project::CrossProjectContext::from_config(&ctx.root)?;
        let test_chunks = cross_ctx.find_test_chunks_cross()?;
        let graph = cross_ctx.merged_call_graph()?;
        let summaries: Vec<cqs::store::ChunkSummary> =
            test_chunks.iter().map(|tc| tc.chunk.clone()).collect();

        let matches =
            crate::cli::commands::build_test_map(name, &graph, &summaries, &ctx.root, max_depth);
        let output = crate::cli::commands::build_test_map_output(name, &matches);
        return Ok(serde_json::to_value(&output)?);
    }

    let resolved = cqs::resolve_target(&ctx.store(), name)?;
    let target_name = resolved.chunk.name.clone();

    let graph = ctx.call_graph()?;
    let test_chunks = ctx.store().find_test_chunks()?;

    let matches = crate::cli::commands::build_test_map(
        &target_name,
        &graph,
        &test_chunks,
        &ctx.root,
        max_depth,
    );
    let output = crate::cli::commands::build_test_map_output(&target_name, &matches);
    Ok(serde_json::to_value(&output)?)
}

/// Traces a dependency path between two targets using breadth-first search through the call graph.
///
/// # Arguments
///
/// * `ctx` - The batch context containing the store and call graph
/// * `source` - The source target identifier to start the trace from
/// * `target` - The target identifier to trace to
/// * `max_depth` - The maximum depth to search in the call graph
///
/// # Returns
///
/// A JSON value containing the trace path information, including source and target names, the sequence of intermediate nodes, and the depth of the path found.
///
/// # Errors
///
/// Returns an error if target resolution fails or if the call graph cannot be constructed.
pub(in crate::cli::batch) fn dispatch_trace(
    ctx: &BatchContext,
    source: &str,
    target: &str,
    max_depth: usize,
    cross_project: bool,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_trace", source, target, cross_project).entered();

    if cross_project {
        let mut cross_ctx = cqs::cross_project::CrossProjectContext::from_config(&ctx.root)?;
        let result = cqs::cross_project::trace_cross(&mut cross_ctx, source, target, max_depth)?;

        let trace_result = cqs::cross_project::CrossProjectTraceResult {
            source: source.to_string(),
            target: target.to_string(),
            depth: result.as_ref().map(|p| p.len().saturating_sub(1)),
            found: result.is_some(),
            path: result,
        };
        return Ok(serde_json::to_value(&trace_result)?);
    }

    let source_resolved = cqs::resolve_target(&ctx.store(), source)?;
    let target_resolved = cqs::resolve_target(&ctx.store(), target)?;
    let source_name = source_resolved.chunk.name.clone();
    let target_name = target_resolved.chunk.name.clone();

    if source_name == target_name {
        let trivial_path = vec![source_name.clone()];
        let output = crate::cli::commands::trace::build_trace_output(
            &ctx.store(),
            &source_name,
            &target_name,
            Some(&trivial_path),
            &ctx.root,
        )?;
        return Ok(serde_json::to_value(&output)?);
    }

    let graph = ctx.call_graph()?;
    let found_path = crate::cli::commands::trace::bfs_shortest_path(
        &graph.forward,
        &source_name,
        &target_name,
        max_depth,
    );

    let output = crate::cli::commands::trace::build_trace_output(
        &ctx.store(),
        &source_name,
        &target_name,
        found_path.as_deref(),
        &ctx.root,
    )?;
    Ok(serde_json::to_value(&output)?)
}

/// Dispatches a request to find functions related to a given function name based on shared callers, callees, and types.
///
/// # Arguments
///
/// * `ctx` - The batch processing context containing the data store and root path
/// * `name` - The name of the function to find related functions for
/// * `limit` - The maximum number of related results per category (clamped to 1-100)
///
/// # Returns
///
/// A JSON object containing:
/// * `target` - The target function name
/// * `shared_callers` - Array of functions that call the target
/// * `shared_callees` - Array of functions called by the target
/// * `shared_types` - Array of functions sharing type relationships
///
/// Each related function includes its name, file path, line number, and overlap count.
///
/// # Errors
///
/// Returns an error if the database query fails.
pub(in crate::cli::batch) fn dispatch_related(
    ctx: &BatchContext,
    name: &str,
    limit: usize,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_related", name).entered();
    let limit = limit.clamp(1, 100);

    let result = cqs::find_related(&ctx.store(), name, limit)?;
    let output = crate::cli::commands::build_related_output(&result, &ctx.root);
    Ok(serde_json::to_value(&output)?)
}

/// Runs diff-aware impact analysis and returns results as JSON.
pub(in crate::cli::batch) fn dispatch_impact_diff(
    ctx: &BatchContext,
    base: Option<&str>,
) -> Result<serde_json::Value> {
    let _span = tracing::info_span!("batch_impact_diff", ?base).entered();

    let diff_text = crate::cli::commands::run_git_diff(base)?;
    let hunks = cqs::parse_unified_diff(&diff_text);

    if hunks.is_empty() {
        return Ok(serde_json::json!({
            "changed_functions": [],
            "callers": [],
            "tests": [],
            "summary": { "changed_count": 0, "caller_count": 0, "test_count": 0 }
        }));
    }

    let changed = cqs::map_hunks_to_functions(&ctx.store(), &hunks);
    if changed.is_empty() {
        return Ok(serde_json::json!({
            "changed_functions": [],
            "callers": [],
            "tests": [],
            "summary": { "changed_count": 0, "caller_count": 0, "test_count": 0 }
        }));
    }

    let result = cqs::analyze_diff_impact(&ctx.store(), changed, &ctx.root)?;
    Ok(cqs::diff_impact_to_json(&result))
}