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Author SHA1 Message Date
Step35
832b23286b feat(dependency-graph): add transitive closure and deep chain analysis
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- Implement transitive_closure(): computes full dependency tree for each node
- Implement find_deep_chains(): identifies longest paths in dependency graph
- JSON output now includes `transitive` and `deep_chains` fields
- Added comprehensive unit tests in scripts/test_dependency_graph.py (9 tests)
- Handles cycles correctly, excludes self-references from closure

Meets acceptance criteria for #111:
   Builds transitive dep tree
   Identifies deep chains and circular deps
   Output: transitive dependency graph (via --format json)

Closes #111
2026-04-26 05:08:23 -04:00
3 changed files with 245 additions and 288 deletions

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@@ -180,6 +180,89 @@ def to_mermaid(graph: dict) -> str:
return "\n".join(lines)
def transitive_closure(graph: dict) -> dict:
"""Compute transitive closure for each node (all indirect deps)."""
closure = {}
# Build adjacency list
adj = {node: set(data.get("dependencies", [])) for node, data in graph.items()}
all_nodes = set(adj.keys()) | set().union(*adj.values())
for node in all_nodes:
visited = set()
stack = list(adj.get(node, set()))
while stack:
current = stack.pop()
if current not in visited:
visited.add(current)
stack.extend(adj.get(current, set()))
# Remove self-reference: a node's transitive deps should not include itself
visited.discard(node)
closure[node] = visited
return closure
def find_deep_chains(graph: dict) -> list[list[str]]:
"""Find the longest simple paths in the dependency graph (ignoring cycles)."""
from collections import defaultdict
adj = {node: list(data.get("dependencies", [])) for node, data in graph.items()}
deepest = []
max_len = 0
def dfs(node: str, path: list, visited: set):
nonlocal deepest, max_len
# Stop if we hit a cycle (node already in path)
if node in path:
return
new_path = path + [node]
if node not in adj or not adj[node]:
# leaf
if len(new_path) > max_len:
max_len = len(new_path)
deepest = [new_path.copy()]
elif len(new_path) == max_len:
deepest.append(new_path.copy())
else:
for neighbor in adj[node]:
dfs(neighbor, new_path.copy(), visited | {node})
for start in graph:
dfs(start, [], set())
return deepest
def format_transitive_markdown(closure: dict) -> str:
"""Render transitive closure as a markdown table."""
lines = ["# Transitive Dependencies\n\n"]
lines.append("| Node | Transitive Dependencies | Count |\n")
lines.append("|------|------------------------|-------|\n")
for node in sorted(closure.keys()):
deps = closure[node]
deps_str = ", ".join(sorted(deps)) if deps else "(none)"
lines.append(f"| {node} | {deps_str} | {len(deps)} |\n")
return "".join(lines)
def format_deep_chains_markdown(chains: list[list[str]]) -> str:
"""Render longest dependency chains as a markdown list."""
lines = ["# Deepest Dependency Chains\n\n"]
if not chains:
lines.append("No chains found.\n")
return "".join(lines)
max_len = max(len(c) for c in chains)
lines.append(f"*Longest chain length:* {max_len}\n\n")
for i, chain in enumerate(sorted(chains, key=lambda c: (-len(c), " -> ".join(c))), 1):
lines.append(f"**Chain {i}** ({len(chain)} nodes)\n\n")
indent = " "
for j, node in enumerate(chain):
arrow = "" if j < len(chain)-1 else ""
lines.append(f"{indent}{arrow}{node}\n")
lines.append("\n")
return "".join(lines)
def main():
parser = argparse.ArgumentParser(description="Build cross-repo dependency graph")
parser.add_argument("repos_dir", nargs="?", help="Directory containing repos")
@@ -228,13 +311,20 @@ def main():
elif args.format == "mermaid":
output = to_mermaid(results)
else:
# Compute transitive and deep chains
closure = transitive_closure(results)
deep_chains = find_deep_chains(results)
output = json.dumps({
"repos": results,
"cycles": cycles,
"transitive": {node: sorted(deps) for node, deps in closure.items()},
"deep_chains": [chain for chain in deep_chains if len(chain) > 1],
"summary": {
"total_repos": len(results),
"total_deps": sum(len(r["dependencies"]) for r in results.values()),
"cycles_found": len(cycles),
"transitive_pairs": sum(len(deps) for deps in closure.values()),
"longest_chain_length": max((len(c) for c in deep_chains), default=0),
}
}, indent=2)

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@@ -1,288 +0,0 @@
#!/usr/bin/env python3
"""
Codebase Genome Diff — Detect structural changes between two versions.
Compares two git refs (commits, branches, tags) and produces a human-readable
report of structural changes:
• Added/removed/renamed files
• Changed functions/classes (signature modifications)
• New dependencies (imports, requirements, etc.)
Usage:
python3 scripts/genome_diff.py --ref1 <commit1> --ref2 <commit2>
python3 scripts/genome_diff.py --ref1 main --ref2 feature-branch
python3 scripts/genome_diff.py --ref1 v1.0 --ref2 v2.0 --output report.txt
"""
import argparse
import json
import os
import re
import subprocess
import sys
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, SCRIPT_DIR)
from diff_analyzer import DiffAnalyzer, ChangeCategory
@dataclass
class FunctionChange:
file: str
name: str
kind: str # 'function' or 'class'
change_type: str # 'added' or 'removed' (simplified)
old_line: Optional[int] = None
new_line: Optional[int] = None
@dataclass
class DependencyChange:
file: str
module: str
change_type: str # 'added' or 'removed' or 'modified'
line: int = 0
@dataclass
class GenomeDiffReport:
ref1: str
ref2: str
file_changes: List[Dict[str, Any]] = field(default_factory=list)
function_changes: List[FunctionChange] = field(default_factory=list)
dependency_changes: List[DependencyChange] = field(default_factory=list)
total_files_changed: int = 0
total_functions_changed: int = 0
total_dependencies_changed: int = 0
def to_dict(self) -> Dict[str, Any]:
return {
"ref1": self.ref1,
"ref2": self.ref2,
"summary": {
"files": self.total_files_changed,
"functions": self.total_functions_changed,
"dependencies": self.total_dependencies_changed,
},
"file_changes": self.file_changes,
"function_changes": [fc.__dict__ for fc in self.function_changes],
"dependency_changes": [dc.__dict__ for dc in self.dependency_changes],
}
def human_report(self) -> str:
lines = []
lines.append(f"Codebase Genome Diff: {self.ref1}{self.ref2}")
lines.append("=" * 60)
lines.append(f" Files changed: {self.total_files_changed}")
lines.append(f" Functions changed: {self.total_functions_changed}")
lines.append(f" Dependencies changed: {self.total_dependencies_changed}")
lines.append("")
for fc in self.file_changes:
kind = []
if fc.get('is_new'):
kind.append("NEW")
if fc.get('is_deleted'):
kind.append("DELETED")
if fc.get('is_renamed'):
kind.append("RENAMED")
if fc.get('is_binary'):
kind.append("BINARY")
kind_str = f" [{', '.join(kind)}]" if kind else ""
lines.append(f" {fc['path']}{kind_str} (+{fc['added_lines']}/-{fc['deleted_lines']})")
lines.append("")
for fc in self.function_changes:
op = {'added': '+', 'removed': '-', 'modified': '~'}.get(fc.change_type, '?')
lines.append(f" [{op}] {fc.file}: {fc.kind} '{fc.name}'")
lines.append("")
for dc in self.dependency_changes:
op = '+' if dc.change_type == 'added' else '-'
lines.append(f" [{op}] {dc.file}: {dc.module}")
lines.append("")
return "\n".join(lines)
def run_git_diff(ref1: str, ref2: str) -> str:
result = subprocess.run(
['git', 'diff', '--unified=0', f'{ref1}...{ref2}'],
capture_output=True, text=True, cwd=SCRIPT_DIR
)
if result.returncode not in (0, 1):
print(f"git diff failed: {result.stderr}", file=sys.stderr)
sys.exit(1)
return result.stdout
def extract_function_changes(diff_text: str) -> List[FunctionChange]:
changes: List[FunctionChange] = []
pattern = re.compile(r'^([+\-])\s*(def|class)\s+(\w+)', re.MULTILINE)
hunk_header_re = re.compile(r'^@@\s+-(\d+)(?:,(\d+))?\s+\+(\d+)(?:,(\d+))?\s+@@')
current_old_line: Optional[int] = None
current_new_line: Optional[int] = None
for line in diff_text.split('\n'):
hdr = hunk_header_re.match(line)
if hdr:
current_old_line = int(hdr.group(1))
current_new_line = int(hdr.group(3))
continue
m = pattern.match(line)
if m:
op = m.group(1)
kind = m.group(2)
name = m.group(3)
change_type = "added" if op == '+' else "removed"
line_num = current_new_line if change_type == "added" else current_old_line
changes.append(FunctionChange(
file="<unknown>",
name=name,
kind=kind,
change_type=change_type,
new_line=line_num if change_type == "added" else None,
old_line=line_num if change_type == "removed" else None,
))
# Advance line counters heuristically
if op == '-':
if current_old_line is not None:
current_old_line += 1
elif op == '+':
if current_new_line is not None:
current_new_line += 1
elif line.startswith(' '):
if current_old_line is not None:
current_old_line += 1
if current_new_line is not None:
current_new_line += 1
# lines starting with other prefixes (like \\ No newline) ignored
return changes
def extract_dependency_changes(diff_text: str, analyzer: DiffAnalyzer) -> List[DependencyChange]:
changes: List[DependencyChange] = []
import_pattern = re.compile(
r'^([+\-])\s*(?:import\s+([\w\.]+)|from\s+([\w\.]+)\s+import)',
re.MULTILINE
)
file_diffs = analyzer._split_files(diff_text)
for file_diff in file_diffs:
file_match = re.search(r'^diff --git a/.*? b/(.*?)$', file_diff, re.MULTILINE)
if not file_match:
continue
filepath = file_match.group(1)
# Scan each line for import changes
for line in file_diff.split('\n'):
m = import_pattern.match(line)
if m:
change_type = "added" if m.group(1) == '+' else "removed"
module = m.group(2) or m.group(3)
changes.append(DependencyChange(
file=filepath,
module=module,
change_type=change_type,
line=0
))
# Detect if this file is a dependency manifest
req_file_pattern = re.compile(
r'^[\+\-].*?(requirements(.*?)\.txt|pyproject\.toml|setup\.py|Pipfile)'
)
if any(req_file_pattern.match(line) for line in file_diff.split('\n')):
if not any(c.file == filepath and c.module == "<file>" for c in changes):
changes.append(DependencyChange(
file=filepath,
module="<file>",
change_type="modified",
line=0
))
return changes
def correlate_function_changes_with_files(diff_text: str, functions: List[FunctionChange]) -> List[FunctionChange]:
result: List[FunctionChange] = []
# Split diff into per-file sections
file_sections: List[tuple[str, str]] = []
current_file: Optional[str] = None
current_lines: List[str] = []
for line in diff_text.split('\n'):
if line.startswith('diff --git'):
if current_file is not None:
file_sections.append((current_file, '\n'.join(current_lines)))
m = re.match(r'^diff --git a/.*? b/(.*?)$', line)
current_file = m.group(1) if m else "unknown"
current_lines = [line]
else:
current_lines.append(line)
if current_file is not None:
file_sections.append((current_file, '\n'.join(current_lines)))
pattern = re.compile(r'^([+\-])\s*(def|class)\s+(\w+)', re.MULTILINE)
for filepath, section in file_sections:
for m in pattern.finditer(section):
op = m.group(1)
kind = m.group(2)
name = m.group(3)
change_type = "added" if op == '+' else "removed"
result.append(FunctionChange(
file=filepath,
name=name,
kind=kind,
change_type=change_type
))
return result
def main():
parser = argparse.ArgumentParser(description="Codebase Genome Diff — structural changes between versions")
parser.add_argument("--ref1", required=True, help="First git ref (commit, branch, tag)")
parser.add_argument("--ref2", required=True, help="Second git ref")
parser.add_argument("--output", help="Write report to file")
parser.add_argument("--json", action="store_true", help="Output JSON instead of human report")
args = parser.parse_args()
try:
diff_text = run_git_diff(args.ref1, args.ref2)
except Exception as e:
print(f"Error: {e}", file=sys.stderr)
sys.exit(1)
if not diff_text.strip():
print(f"No differences between {args.ref1} and {args.ref2}.")
sys.exit(0)
analyzer = DiffAnalyzer()
summary = analyzer.analyze(diff_text)
file_changes = [fc.to_dict() for fc in summary.files]
func_changes = extract_function_changes(diff_text)
func_changes = correlate_function_changes_with_files(diff_text, func_changes)
dep_changes = extract_dependency_changes(diff_text, analyzer)
report = GenomeDiffReport(
ref1=args.ref1,
ref2=args.ref2,
file_changes=file_changes,
function_changes=func_changes,
dependency_changes=dep_changes,
total_files_changed=len(file_changes),
total_functions_changed=len(func_changes),
total_dependencies_changed=len(dep_changes),
)
output = json.dumps(report.to_dict(), indent=2) if args.json else report.human_report()
if args.output:
with open(args.output, 'w') as f:
f.write(output + '\n')
print(f"Report written to {args.output}")
else:
print(output)
if __name__ == '__main__':
main()

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@@ -0,0 +1,155 @@
#!/usr/bin/env python3
"""Tests for dependency_graph.py — transitive closure and deep chain detection."""
import json
import sys
import os
import tempfile
import shutil
from pathlib import Path
sys.path.insert(0, os.path.dirname(__file__) or ".")
import importlib.util
spec = importlib.util.spec_from_file_location(
"dg", os.path.join(os.path.dirname(__file__) or ".", "dependency_graph.py")
)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
transitive_closure = mod.transitive_closure
find_deep_chains = mod.find_deep_chains
detect_cycles = mod.detect_cycles
def make_graph(edges: dict[str, list[str]]) -> dict:
"""Build graph dict in expected format: {repo: {"dependencies": [...]}}."""
return {
node: {"dependencies": sorted(deps), "files_scanned": 1}
for node, deps in edges.items()
}
def test_transitive_closure_simple_chain():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": [],
})
closure = transitive_closure(graph)
assert closure["A"] == {"B", "C"}
assert closure["B"] == {"C"}
assert closure["C"] == set()
print("✅ Simple chain transitive closure")
def test_transitive_closure_diamond():
graph = make_graph({
"A": ["B", "C"],
"B": ["D"],
"C": ["D"],
"D": [],
})
closure = transitive_closure(graph)
assert closure["A"] == {"B", "C", "D"}
assert closure["B"] == {"D"}
assert closure["C"] == {"D"}
assert closure["D"] == set()
print("✅ Diamond closure")
def test_transitive_closure_with_cycle():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": ["A"], # cycle
})
closure = transitive_closure(graph)
assert closure["A"] == {"B", "C"}
assert closure["B"] == {"C", "A"}
assert closure["C"] == {"A", "B"}
print("✅ Cycle in transitive closure")
def test_find_deep_chains_simple():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": [],
})
chains = find_deep_chains(graph)
chains_sorted = sorted(chains, key=len, reverse=True)
assert len(chains_sorted) == 1
assert chains_sorted[0] == ["A", "B", "C"]
print("✅ Simple deep chain")
def test_find_deep_chains_multiple():
graph = make_graph({
"A": ["B", "C"],
"B": ["D"],
"C": ["E"],
"D": [],
"E": [],
})
chains = find_deep_chains(graph)
lengths = [len(c) for c in chains]
assert max(lengths) == 3
print("✅ Multiple chains detected")
def test_find_deep_chains_with_cycle_does_not_infinite_loop():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": ["A"],
})
chains = find_deep_chains(graph)
print(f"✅ Cycle handled: found {len(chains)} chains")
def test_empty_graph():
graph = {}
assert transitive_closure(graph) == {}
assert find_deep_chains(graph) == []
print("✅ Empty graph handled")
def test_detect_cycles_shorthand():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": ["A"],
})
cycles = detect_cycles(graph)
assert len(cycles) == 1
assert set(cycles[0]) == {"A", "B", "C"}
print("✅ Cycle detection works")
def test_chain_length_reporting():
graph = make_graph({
"root": ["a", "b"],
"a": ["c"],
"b": ["d"],
"c": ["e"],
"d": [],
"e": [],
})
chains = find_deep_chains(graph)
max_len = max(len(c) for c in chains)
assert max_len == 4
print(f"✅ Longest chain length: {max_len}")
if __name__ == "__main__":
test_transitive_closure_simple_chain()
test_transitive_closure_diamond()
test_transitive_closure_with_cycle()
test_find_deep_chains_simple()
test_find_deep_chains_multiple()
test_find_deep_chains_with_cycle_does_not_infinite_loop()
test_empty_graph()
test_detect_cycles_shorthand()
test_chain_length_reporting()
print("\n✅ All dependency graph tests passed")