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compounding-intelligence/scripts/test_graph_visualizer.py
STEP35 Burn Worker 5f6a7f7265
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feat(graph): Add graph visualizer (ASCII + DOT) with subgraph extraction
Add scripts/graph_visualizer.py — standalone tool that:
- Builds knowledge graph from knowledge/index.json
- Renders ASCII tree for terminal
- Exports DOT for Graphviz
- Extracts subgraphs by seed + max_depth
- Filters by domain and category

Includes test_graph_visualizer.py smoke test (8/8)
Addresses #151
2026-04-25 21:00:05 -04:00

106 lines
4.4 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Tests for graph_visualizer.py — smoke test + subgraph logic.
Run: python3 scripts/test_graph_visualizer.py
"""
import json, sys, tempfile
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent))
import graph_visualizer as gv
def make_index(facts, tmp_dir):
p = tmp_dir / "index.json"
p.write_text(json.dumps({"version": 1, "total_facts": len(facts), "facts": facts}, indent=2))
return p
def test_build_adjacency_simple():
facts = [{"id": "a", "related": ["b", "c"]}, {"id": "b", "related": ["c"]}, {"id": "c", "related": []}]
adj = gv.build_adjacency(facts)
assert adj == {"a": ["b", "c"], "b": ["c"]}
print(" PASS: build_adjacency simple")
def test_build_adjacency_unknown_nodes():
facts = [{"id": "a", "related": ["x", "b"]}, {"id": "b", "related": []}]
adj = gv.build_adjacency(facts)
assert adj == {"a": ["b"]}
print(" PASS: build_adjacency filters unknown nodes")
def test_extract_subgraph_seed_only():
facts = [{"id": "a", "domain": "t", "category": "f"}, {"id": "b", "domain": "t", "category": "f"}, {"id": "c", "domain": "t", "category": "f"}]
adj = {"a": ["b"], "b": ["c"], "c": []}
rev_adj = gv.build_reverse_adjacency(adj)
sub = gv.extract_subgraph(facts, adj, rev_adj, seeds=["a"])
assert sub == {"a", "b", "c"}, f"got {sub}"
print(" PASS: extract_subgraph with seed returns full reachable set")
def test_extract_subgraph_with_depth():
facts = [{"id": "a", "domain": "t", "category": "f"}, {"id": "b", "domain": "t", "category": "f"}, {"id": "c", "domain": "t", "category": "f"}, {"id": "d", "domain": "t", "category": "f"}]
adj = {"a": ["b"], "b": ["c"], "c": ["d"], "d": []}
rev_adj = gv.build_reverse_adjacency(adj)
sub = gv.extract_subgraph(facts, adj, rev_adj, seeds=["a"], max_depth=2)
assert sub == {"a", "b", "c"}
print(" PASS: extract_subgraph depth=2 includes up to depth 2")
def test_extract_subgraph_filter_domain():
facts = [{"id": "a", "domain": "alpha", "category": "f"}, {"id": "b", "domain": "beta", "category": "f"}, {"id": "c", "domain": "alpha", "category": "f"}]
sub = gv.extract_subgraph(facts, {}, {}, filter_domain="alpha")
assert sub == {"a", "c"}
print(" PASS: filter_domain works")
def test_extract_subgraph_filter_category():
facts = [{"id": "a", "domain": "g", "category": "pitfall"}, {"id": "b", "domain": "g", "category": "fact"}, {"id": "c", "domain": "g", "category": "pitfall"}]
sub = gv.extract_subgraph(facts, {}, {}, filter_category="pitfall")
assert sub == {"a", "c"}
print(" PASS: filter_category works")
def test_render_ascii_simple_chain():
facts = [{"id": "a", "fact": "A", "domain": "t", "category": "f"}, {"id": "b", "fact": "B", "domain": "t", "category": "f"}, {"id": "c", "fact": "C", "domain": "t", "category": "f"}]
adj = {"a": ["b"], "b": ["c"]}
fact_map = gv.build_fact_map(facts)
out = gv.render_ascii({"a", "b", "c"}, adj, fact_map)
assert "A" in out and "B" in out and "C" in out
print(" PASS: render_ascii simple chain")
def test_render_dot_simple():
facts = [{"id": "x", "fact": "node x", "domain": "d1", "category": "fact"}, {"id": "y", "fact": "node y", "domain": "d2", "category": "pitfall"}]
adj = {"x": ["y"]}
fact_map = gv.build_fact_map(facts)
out = gv.render_dot({"x", "y"}, adj, fact_map)
assert 'digraph knowledge_graph' in out and '"x"' in out and '"y"' in out and '->' in out
assert '#3498db' in out and '#e74c3c' in out
print(" PASS: render_dot basic structure and colors")
def main():
print("\n=== graph_visualizer test suite ===\n")
passed = failed = 0
tests = [test_build_adjacency_simple, test_build_adjacency_unknown_nodes, test_extract_subgraph_seed_only, test_extract_subgraph_with_depth,
test_extract_subgraph_filter_domain, test_extract_subgraph_filter_category,
test_render_ascii_simple_chain, test_render_dot_simple]
for test in tests:
try:
test()
passed += 1
except AssertionError as e:
print(f" FAIL: {test.__name__}{e}")
failed += 1
except Exception as e:
print(f" ERROR: {test.__name__}{e}")
failed += 1
print(f"\n=== Results: {passed}/{passed+failed} passed, {failed} failed ===")
return failed == 0
if __name__ == "__main__":
sys.exit(0 if main() else 1)