Compare commits

..

1 Commits

Author SHA1 Message Date
cbebd93cbb feat: cross-repo dependency graph builder (#93) 2026-04-15 03:44:12 +00:00
3 changed files with 249 additions and 240 deletions

249
scripts/dependency_graph.py Normal file
View File

@@ -0,0 +1,249 @@
#!/usr/bin/env python3
"""
Cross-Repo Dependency Graph Builder
Scans repos for import/require/reference patterns and builds a directed
dependency graph. Detects circular dependencies. Outputs DOT and Mermaid.
Usage:
python3 scripts/dependency_graph.py /path/to/repos/
python3 scripts/dependency_graph.py --repos repo1,repo2,repo3 --format mermaid
python3 scripts/dependency_graph.py --repos-dir /path/to/ --format dot --output deps.dot
Patterns detected:
- Python: import X, from X import Y
- JavaScript: require("X"), import ... from "X"
- Go: import "X"
- Ansible: include_role, import_role
- Docker/Compose: image: X, depends_on
- Config references: repo-name in YAML/TOML/JSON
"""
import argparse
import json
import os
import re
import sys
from collections import defaultdict
from pathlib import Path
# Known repo names for matching
KNOWN_REPOS = [
"hermes-agent", "timmy-config", "timmy-home", "the-nexus", "the-door",
"the-beacon", "fleet-ops", "burn-fleet", "timmy-dispatch", "turboquant",
"compounding-intelligence", "the-playground", "second-son-of-timmy",
"ai-safety-review", "the-echo-pattern", "timmy-academy", "wolf",
"the-testament",
]
def normalize_repo_name(name: str) -> str:
"""Normalize a repo name for comparison."""
return name.lower().replace("_", "-").replace(".git", "").strip()
def scan_file_for_deps(filepath: str, content: str, own_repo: str) -> set:
"""Scan a file's content for references to other repos."""
deps = set()
own_norm = normalize_repo_name(own_repo)
for repo in KNOWN_REPOS:
repo_norm = normalize_repo_name(repo)
if repo_norm == own_norm:
continue
# Direct name references
patterns = [
repo, # exact name
repo.replace("-", "_"), # underscore variant
repo.replace("-", ""), # no separator
f"/{repo}/", # path reference
f'"{repo}"', # quoted
f"'{repo}'", # single quoted
f"Timmy_Foundation/{repo}", # full Gitea path
f"Timmy_Foundation.{repo}", # Python module path
]
for pattern in patterns:
if pattern in content:
deps.add(repo)
break
return deps
def scan_repo(repo_path: str, repo_name: str = None) -> dict:
"""Scan a repo directory for dependencies."""
path = Path(repo_path)
if not path.is_dir():
return {"error": f"Not a directory: {repo_path}"}
if not repo_name:
repo_name = path.name
deps = set()
files_scanned = 0
exts = {".py", ".js", ".ts", ".go", ".yaml", ".yml", ".toml", ".json",
".md", ".sh", ".bash", ".Dockerfile", ".tf", ".hcl"}
for fpath in path.rglob("*"):
if not fpath.is_file():
continue
if fpath.suffix not in exts:
continue
# Skip common non-source dirs
parts = fpath.parts
if any(p in (".git", "node_modules", "__pycache__", ".venv", "venv",
"vendor", "dist", "build", ".tox") for p in parts):
continue
try:
content = fpath.read_text(errors="ignore")
except:
continue
file_deps = scan_file_for_deps(str(fpath), content, repo_name)
deps.update(file_deps)
files_scanned += 1
return {
"repo": repo_name,
"dependencies": sorted(deps),
"files_scanned": files_scanned,
}
def detect_cycles(graph: dict) -> list:
"""Detect circular dependencies using DFS."""
cycles = []
visited = set()
rec_stack = set()
def dfs(node, path):
visited.add(node)
rec_stack.add(node)
for neighbor in graph.get(node, {}).get("dependencies", []):
if neighbor not in visited:
result = dfs(neighbor, path + [neighbor])
if result:
return result
elif neighbor in rec_stack:
cycle_start = path.index(neighbor)
return path[cycle_start:] + [neighbor]
rec_stack.remove(node)
return None
for node in graph:
if node not in visited:
cycle = dfs(node, [node])
if cycle:
cycles.append(cycle)
return cycles
def to_dot(graph: dict) -> str:
"""Generate DOT format output."""
lines = ["digraph dependencies {"]
lines.append(" rankdir=LR;")
lines.append(" node [shape=box, style=filled, fillcolor="#1a1a2e", fontcolor="#e6edf3"];")
lines.append(" edge [color="#4a4a6a"];")
lines.append("")
for repo, data in sorted(graph.items()):
dep_count = len(data.get("dependencies", []))
fill = "#2d1b69" if dep_count > 2 else "#16213e"
lines.append(f' "{repo}" [fillcolor="{fill}"];')
for dep in data.get("dependencies", []):
lines.append(f' "{repo}" -> "{dep}";')
lines.append("}")
return "\n".join(lines)
def to_mermaid(graph: dict) -> str:
"""Generate Mermaid format output."""
lines = ["graph LR"]
for repo, data in sorted(graph.items()):
for dep in data.get("dependencies", []):
lines.append(f" {repo.replace('-','_')} --> {dep.replace('-','_')}")
# Add node labels
lines.append("")
for repo in sorted(graph.keys()):
lines.append(f" {repo.replace('-','_')}[{repo}]")
return "\n".join(lines)
def main():
parser = argparse.ArgumentParser(description="Build cross-repo dependency graph")
parser.add_argument("repos_dir", nargs="?", help="Directory containing repos")
parser.add_argument("--repos", help="Comma-separated list of repo paths")
parser.add_argument("--format", choices=["dot", "mermaid", "json"], default="json")
parser.add_argument("--output", "-o", help="Output file (default: stdout)")
parser.add_argument("--cycles-only", action="store_true", help="Only report cycles")
args = parser.parse_args()
results = {}
repo_paths = []
if args.repos:
repo_paths = [p.strip() for p in args.repos.split(",")]
elif args.repos_dir:
base = Path(args.repos_dir)
repo_paths = [str(p) for p in base.iterdir() if p.is_dir() and not p.name.startswith(".")]
else:
parser.print_help()
sys.exit(1)
for rpath in repo_paths:
name = Path(rpath).name
print(f"Scanning {name}...", file=sys.stderr)
result = scan_repo(rpath, name)
if "error" not in result:
results[name] = result
# Detect cycles
cycles = detect_cycles(results)
if args.cycles_only:
if cycles:
print("CIRCULAR DEPENDENCIES DETECTED:")
for cycle in cycles:
print(f" {' -> '.join(cycle)}")
sys.exit(1)
else:
print("No circular dependencies found.")
sys.exit(0)
# Output
output = {}
if args.format == "dot":
output = to_dot(results)
elif args.format == "mermaid":
output = to_mermaid(results)
else:
output = json.dumps({
"repos": results,
"cycles": cycles,
"summary": {
"total_repos": len(results),
"total_deps": sum(len(r["dependencies"]) for r in results.values()),
"cycles_found": len(cycles),
}
}, indent=2)
if args.output:
Path(args.output).write_text(output)
print(f"Written to {args.output}", file=sys.stderr)
else:
print(output)
if __name__ == "__main__":
main()

View File

@@ -1,131 +0,0 @@
#!/usr/bin/env python3
"""
Gitea Issue Body Parser — Extract structured data from markdown issue bodies.
Usage:
cat issue_body.txt | python3 scripts/gitea_issue_parser.py --stdin --pretty
python3 scripts/gitea_issue_parser.py --url https://forge.../api/v1/repos/.../issues/123 --pretty
python3 scripts/gitea_issue_parser.py body.txt --title "Fix thing (#42)" --labels pipeline extraction
"""
import argparse
import json
import re
import sys
from typing import Dict, List, Any, Optional
def parse_issue_body(body: str, title: str = "", labels: List[str] = None) -> Dict[str, Any]:
"""Parse a Gitea issue markdown body into structured JSON.
Extracted fields:
- title: Issue title
- context: Background/description section
- criteria[]: Acceptance criteria (checkboxes or numbered lists)
- labels[]: Issue labels
- epic_ref: Parent/epic issue reference (from "Closes #N" or title)
- sections{}: All ## sections as key-value pairs
"""
result = {
"title": title,
"context": "",
"criteria": [],
"labels": labels or [],
"epic_ref": None,
"sections": {},
}
if not body:
return result
# Extract epic reference from title or body
epic_patterns = [
r"(?:closes|fixes|addresses|refs?)\s+#(\d+)",
r"#(\d+)",
]
for pattern in epic_patterns:
match = re.search(pattern, (title + " " + body).lower())
if match:
result["epic_ref"] = int(match.group(1))
break
# Parse ## sections
section_pattern = r"^##\s+(.+?)$\n((?:^(?!##\s).*$\n?)*)"
for match in re.finditer(section_pattern, body, re.MULTILINE):
section_name = match.group(1).strip().lower().replace(" ", "_")
section_content = match.group(2).strip()
result["sections"][section_name] = section_content
# Extract acceptance criteria (checkboxes)
checkbox_pattern = r"^\s*-\s*\[([ xX])\]\s*(.+)$"
for match in re.finditer(checkbox_pattern, body, re.MULTILINE):
checked = match.group(1).lower() == "x"
text = match.group(2).strip()
result["criteria"].append({"text": text, "checked": checked})
# If no checkboxes, try numbered lists in "Acceptance Criteria" or "Criteria" section
if not result["criteria"]:
for section_name in ["acceptance_criteria", "criteria", "acceptance criteria"]:
if section_name in result["sections"]:
numbered = r"^\s*\d+\.\s*(.+)$"
for match in re.finditer(numbered, result["sections"][section_name], re.MULTILINE):
result["criteria"].append({"text": match.group(1).strip(), "checked": False})
break
# Extract context (first section or first paragraph before any ## heading)
first_heading = body.find("## ")
if first_heading > 0:
context_text = body[:first_heading].strip()
else:
context_text = body.split("\n\n")[0].strip()
# Clean up: remove "## Context" or "## Problem" header if present
context_text = re.sub(r"^#+\s*\w+\s*\n?", "", context_text).strip()
result["context"] = context_text[:500] # Cap at 500 chars
return result
def fetch_issue_from_url(url: str) -> Dict[str, Any]:
"""Fetch an issue from a Gitea API URL and parse it."""
import urllib.request
req = urllib.request.Request(url, headers={"Accept": "application/json"})
with urllib.request.urlopen(req) as resp:
data = json.loads(resp.read())
return parse_issue_body(
body=data.get("body", ""),
title=data.get("title", ""),
labels=[l["name"] for l in data.get("labels", [])]
)
def main():
parser = argparse.ArgumentParser(description="Parse Gitea issue markdown into structured JSON")
parser.add_argument("file", nargs="?", help="Issue body file (or use --stdin)")
parser.add_argument("--stdin", action="store_true", help="Read from stdin")
parser.add_argument("--url", help="Gitea API URL to fetch issue from")
parser.add_argument("--title", default="", help="Issue title")
parser.add_argument("--labels", nargs="*", default=[], help="Issue labels")
parser.add_argument("--pretty", action="store_true", help="Pretty-print JSON output")
args = parser.parse_args()
if args.url:
result = fetch_issue_from_url(args.url)
elif args.stdin:
body = sys.stdin.read()
result = parse_issue_body(body, args.title, args.labels)
elif args.file:
with open(args.file) as f:
body = f.read()
result = parse_issue_body(body, args.title, args.labels)
else:
parser.print_help()
sys.exit(1)
indent = 2 if args.pretty else None
print(json.dumps(result, indent=indent))
if __name__ == "__main__":
main()

View File

@@ -1,109 +0,0 @@
#!/usr/bin/env python3
"""Tests for scripts/gitea_issue_parser.py"""
import sys
import os
sys.path.insert(0, os.path.dirname(__file__) or ".")
# Import from sibling
import importlib.util
spec = importlib.util.spec_from_file_location("parser", os.path.join(os.path.dirname(__file__) or ".", "gitea_issue_parser.py"))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
parse_issue_body = mod.parse_issue_body
def test_basic_parsing():
body = """## Context
This is the background info.
## Acceptance Criteria
- [ ] First criterion
- [x] Second criterion (done)
## What to build
Some description.
"""
result = parse_issue_body(body, title="Test (#42)", labels=["bug"])
assert result["title"] == "Test (#42)"
assert result["labels"] == ["bug"]
assert result["epic_ref"] == 42
assert len(result["criteria"]) == 2
assert result["criteria"][0]["text"] == "First criterion"
assert result["criteria"][0]["checked"] == False
assert result["criteria"][1]["checked"] == True
assert "context" in result["sections"]
print("PASS: test_basic_parsing")
def test_numbered_criteria():
body = """## Acceptance Criteria
1. First item
2. Second item
3. Third item
"""
result = parse_issue_body(body)
assert len(result["criteria"]) == 3
assert result["criteria"][0]["text"] == "First item"
print("PASS: test_numbered_criteria")
def test_epic_ref_from_body():
body = "Closes #123\n\nSome description."
result = parse_issue_body(body)
assert result["epic_ref"] == 123
print("PASS: test_epic_ref_from_body")
def test_empty_body():
result = parse_issue_body("")
assert result["criteria"] == []
assert result["context"] == ""
assert result["sections"] == {}
print("PASS: test_empty_body")
def test_no_sections():
body = "Just a plain issue body with no headings."
result = parse_issue_body(body)
assert result["context"] == "Just a plain issue body with no headings."
print("PASS: test_no_sections")
def test_multiple_sections():
body = """## Problem
Something is broken.
## Fix
Do this instead.
## Notes
Additional info.
"""
result = parse_issue_body(body)
assert "problem" in result["sections"]
assert "fix" in result["sections"]
assert "notes" in result["sections"]
assert "Something is broken" in result["sections"]["problem"]
print("PASS: test_multiple_sections")
def run_all():
test_basic_parsing()
test_numbered_criteria()
test_epic_ref_from_body()
test_empty_body()
test_no_sections()
test_multiple_sections()
print("\nAll 6 tests passed!")
if __name__ == "__main__":
run_all()