Add DAST, graph modules, toast notifications, and dashboard enhancements

Add DAST scanning and code knowledge graph features across the stack:
- compliance-dast and compliance-graph workspace crates
- Agent API handlers and routes for DAST targets/scans and graph builds
- Core models and traits for DAST and graph domains
- Dashboard pages for DAST targets/findings/overview and graph explorer/impact
- Toast notification system with auto-dismiss for async action feedback
- Button click animations and disabled states for better UX

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Sharang Parnerkar
2026-03-04 13:53:50 +01:00
co-authored by Claude Opus 4.6
parent 03ee69834d
commit cea8f59e10
69 changed files with 8745 additions and 54 deletions
+219
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use std::collections::{HashSet, VecDeque};
use compliance_core::models::graph::ImpactAnalysis;
use petgraph::graph::NodeIndex;
use petgraph::visit::EdgeRef;
use petgraph::Direction;
use super::engine::CodeGraph;
/// Analyzes the impact/blast radius of findings within a code graph
pub struct ImpactAnalyzer<'a> {
code_graph: &'a CodeGraph,
}
impl<'a> ImpactAnalyzer<'a> {
pub fn new(code_graph: &'a CodeGraph) -> Self {
Self { code_graph }
}
/// Compute impact analysis for a finding at the given file path and line number
pub fn analyze(
&self,
repo_id: &str,
finding_id: &str,
graph_build_id: &str,
file_path: &str,
line_number: Option<u32>,
) -> ImpactAnalysis {
let mut analysis =
ImpactAnalysis::new(repo_id.to_string(), finding_id.to_string(), graph_build_id.to_string());
// Find the node containing the finding
let target_node = self.find_node_at_location(file_path, line_number);
let target_idx = match target_node {
Some(idx) => idx,
None => return analysis,
};
// BFS forward: compute blast radius (what this node affects)
let forward_reachable = self.bfs_reachable(target_idx, Direction::Outgoing);
analysis.blast_radius = forward_reachable.len() as u32;
// BFS backward: find entry points that reach this node
let backward_reachable = self.bfs_reachable(target_idx, Direction::Incoming);
// Find affected entry points
for &idx in &backward_reachable {
if let Some(node) = self.get_node_by_index(idx) {
if node.is_entry_point {
analysis
.affected_entry_points
.push(node.qualified_name.clone());
}
}
}
// Extract call chains from entry points to the target (limited depth)
for entry_name in &analysis.affected_entry_points.clone() {
if let Some(&entry_idx) = self.code_graph.node_map.get(entry_name) {
if let Some(chain) = self.find_path(entry_idx, target_idx, 10) {
analysis.call_chains.push(chain);
}
}
}
// Direct callers (incoming edges to target)
for edge in self
.code_graph
.graph
.edges_directed(target_idx, Direction::Incoming)
{
if let Some(node) = self.get_node_by_index(edge.source()) {
analysis.direct_callers.push(node.qualified_name.clone());
}
}
// Direct callees (outgoing edges from target)
for edge in self.code_graph.graph.edges(target_idx) {
if let Some(node) = self.get_node_by_index(edge.target()) {
analysis.direct_callees.push(node.qualified_name.clone());
}
}
// Affected communities
let mut affected_comms: HashSet<u32> = HashSet::new();
for &idx in forward_reachable.iter().chain(std::iter::once(&target_idx)) {
if let Some(node) = self.get_node_by_index(idx) {
if let Some(cid) = node.community_id {
affected_comms.insert(cid);
}
}
}
analysis.affected_communities = affected_comms.into_iter().collect();
analysis.affected_communities.sort();
analysis
}
/// Find the graph node at a given file/line location
fn find_node_at_location(&self, file_path: &str, line_number: Option<u32>) -> Option<NodeIndex> {
let mut best: Option<(NodeIndex, u32)> = None; // (index, line_span)
for node in &self.code_graph.nodes {
if node.file_path != file_path {
continue;
}
if let Some(line) = line_number {
if line >= node.start_line && line <= node.end_line {
let span = node.end_line - node.start_line;
// Prefer the narrowest containing node
if best.is_none() || span < best.as_ref().map(|b| b.1).unwrap_or(u32::MAX) {
if let Some(gi) = node.graph_index {
best = Some((NodeIndex::new(gi as usize), span));
}
}
}
} else {
// No line number, use file node
if node.kind == compliance_core::models::graph::CodeNodeKind::File {
if let Some(gi) = node.graph_index {
return Some(NodeIndex::new(gi as usize));
}
}
}
}
best.map(|(idx, _)| idx)
}
/// BFS to find all reachable nodes in a given direction
fn bfs_reachable(&self, start: NodeIndex, direction: Direction) -> HashSet<NodeIndex> {
let mut visited = HashSet::new();
let mut queue = VecDeque::new();
queue.push_back(start);
while let Some(current) = queue.pop_front() {
if !visited.insert(current) {
continue;
}
let neighbors: Vec<NodeIndex> = match direction {
Direction::Outgoing => self
.code_graph
.graph
.edges(current)
.map(|e| e.target())
.collect(),
Direction::Incoming => self
.code_graph
.graph
.edges_directed(current, Direction::Incoming)
.map(|e| e.source())
.collect(),
};
for neighbor in neighbors {
if !visited.contains(&neighbor) {
queue.push_back(neighbor);
}
}
}
visited.remove(&start);
visited
}
/// Find a path from source to target (BFS, limited depth)
fn find_path(
&self,
from: NodeIndex,
to: NodeIndex,
max_depth: usize,
) -> Option<Vec<String>> {
let mut visited = HashSet::new();
let mut queue: VecDeque<(NodeIndex, Vec<NodeIndex>)> = VecDeque::new();
queue.push_back((from, vec![from]));
while let Some((current, path)) = queue.pop_front() {
if current == to {
return Some(
path.iter()
.filter_map(|&idx| {
self.get_node_by_index(idx)
.map(|n| n.qualified_name.clone())
})
.collect(),
);
}
if path.len() >= max_depth {
continue;
}
if !visited.insert(current) {
continue;
}
for edge in self.code_graph.graph.edges(current) {
let next = edge.target();
if !visited.contains(&next) {
let mut new_path = path.clone();
new_path.push(next);
queue.push_back((next, new_path));
}
}
}
None
}
fn get_node_by_index(&self, idx: NodeIndex) -> Option<&compliance_core::models::graph::CodeNode> {
let target_gi = idx.index() as u32;
self.code_graph
.nodes
.iter()
.find(|n| n.graph_index == Some(target_gi))
}
}