mirror of
https://github.com/safishamsi/graphify.git
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487 lines
19 KiB
Python
487 lines
19 KiB
Python
"""Integration tests for graphify export subcommands and CLI commands.
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Each test builds a minimal graph in a temp dir, runs the CLI command as a subprocess,
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and asserts the expected output file exists and is non-empty / valid.
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"""
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from __future__ import annotations
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import json
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import os
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import subprocess
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import sys
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from pathlib import Path
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import pytest
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PYTHON = sys.executable
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FIXTURES = Path(__file__).parent / "fixtures"
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def _run(args: list[str], cwd: Path, env: dict[str, str] | None = None) -> subprocess.CompletedProcess:
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return subprocess.run(
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[PYTHON, "-m", "graphify"] + args,
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cwd=cwd,
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capture_output=True,
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text=True,
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env=env,
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)
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def _make_graph(tmp_path: Path) -> Path:
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"""Build a minimal graph.json + analysis/labels files in tmp_path/graphify-out/."""
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out = tmp_path / "graphify-out"
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out.mkdir()
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extraction = json.loads((FIXTURES / "extraction.json").read_text())
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from graphify.build import build_from_json
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from graphify.cluster import cluster, score_all
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from graphify.analyze import god_nodes, surprising_connections
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from graphify.export import to_json
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G = build_from_json(extraction)
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communities = cluster(G)
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cohesion = score_all(G, communities)
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gods = god_nodes(G)
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surprises = surprising_connections(G, communities)
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labels = {cid: f"Community {cid}" for cid in communities}
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to_json(G, communities, str(out / "graph.json"))
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analysis = {
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"communities": {str(k): v for k, v in communities.items()},
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"cohesion": {str(k): v for k, v in cohesion.items()},
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"gods": gods,
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"surprises": surprises,
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}
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(out / ".graphify_analysis.json").write_text(json.dumps(analysis))
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(out / ".graphify_labels.json").write_text(
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json.dumps({str(k): v for k, v in labels.items()})
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)
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return out
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# ── graphify export html ─────────────────────────────────────────────────────
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def test_export_html_creates_file(tmp_path):
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_make_graph(tmp_path)
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r = _run(["export", "html"], tmp_path)
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assert r.returncode == 0, r.stderr
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html = tmp_path / "graphify-out" / "graph.html"
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assert html.exists()
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assert html.stat().st_size > 0
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def test_export_html_no_viz_removes_file(tmp_path):
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out = _make_graph(tmp_path)
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(out / "graph.html").write_text("<html/>")
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r = _run(["export", "html", "--no-viz"], tmp_path)
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assert r.returncode == 0, r.stderr
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assert not (out / "graph.html").exists()
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def test_export_html_error_without_graph(tmp_path):
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r = _run(["export", "html"], tmp_path)
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assert r.returncode != 0
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# ── graphify export obsidian ─────────────────────────────────────────────────
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def test_export_obsidian_creates_vault(tmp_path):
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_make_graph(tmp_path)
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r = _run(["export", "obsidian"], tmp_path)
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assert r.returncode == 0, r.stderr
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vault = tmp_path / "graphify-out" / "obsidian"
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assert vault.exists()
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md_files = list(vault.glob("*.md"))
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assert len(md_files) > 0
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def test_export_obsidian_custom_dir(tmp_path):
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_make_graph(tmp_path)
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custom = tmp_path / "my-vault"
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r = _run(["export", "obsidian", "--dir", str(custom)], tmp_path)
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assert r.returncode == 0, r.stderr
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assert custom.exists()
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assert len(list(custom.glob("*.md"))) > 0
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# ── graphify export wiki ─────────────────────────────────────────────────────
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def test_export_wiki_creates_articles(tmp_path):
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_make_graph(tmp_path)
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r = _run(["export", "wiki"], tmp_path)
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assert r.returncode == 0, r.stderr
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wiki = tmp_path / "graphify-out" / "wiki"
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assert wiki.exists()
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assert (wiki / "index.md").exists()
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def test_export_wiki_accepts_edges_only_graph_json(tmp_path):
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out = _make_graph(tmp_path)
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graph_path = out / "graph.json"
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data = json.loads(graph_path.read_text())
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data["edges"] = data.pop("links")
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graph_path.write_text(json.dumps(data))
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r = _run(["export", "wiki"], tmp_path)
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assert r.returncode == 0, r.stderr
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assert (out / "wiki" / "index.md").exists()
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# ── graphify export graphml ──────────────────────────────────────────────────
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def test_export_graphml_creates_file(tmp_path):
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_make_graph(tmp_path)
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r = _run(["export", "graphml"], tmp_path)
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assert r.returncode == 0, r.stderr
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gml = tmp_path / "graphify-out" / "graph.graphml"
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assert gml.exists()
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assert gml.stat().st_size > 0
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content = gml.read_text()
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assert "<graphml" in content
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# ── graphify export neo4j (cypher) ───────────────────────────────────────────
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def test_export_neo4j_creates_cypher(tmp_path):
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_make_graph(tmp_path)
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r = _run(["export", "neo4j"], tmp_path)
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assert r.returncode == 0, r.stderr
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cypher = tmp_path / "graphify-out" / "cypher.txt"
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assert cypher.exists()
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assert cypher.stat().st_size > 0
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content = cypher.read_text()
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assert "MERGE" in content or "CREATE" in content
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# ── graphify export falkordb (cypher) ────────────────────────────────────────
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def test_export_falkordb_creates_cypher(tmp_path):
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_make_graph(tmp_path)
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r = _run(["export", "falkordb"], tmp_path)
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assert r.returncode == 0, r.stderr
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cypher = tmp_path / "graphify-out" / "cypher.txt"
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assert cypher.exists()
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assert cypher.stat().st_size > 0
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content = cypher.read_text()
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assert "MERGE" in content or "CREATE" in content
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# ── graphify query ───────────────────────────────────────────────────────────
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def test_query_returns_output(tmp_path):
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_make_graph(tmp_path)
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r = _run(["query", "test"], tmp_path)
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assert r.returncode == 0, r.stderr
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assert len(r.stdout) > 0
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def test_query_dfs_flag(tmp_path):
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_make_graph(tmp_path)
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r = _run(["query", "test", "--dfs"], tmp_path)
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assert r.returncode == 0, r.stderr
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def test_query_budget_flag(tmp_path):
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_make_graph(tmp_path)
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r = _run(["query", "test", "--budget", "500"], tmp_path)
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assert r.returncode == 0, r.stderr
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def test_query_missing_graph_fails(tmp_path):
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r = _run(["query", "anything"], tmp_path)
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assert r.returncode != 0
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def test_query_uses_graphify_out_env(tmp_path):
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out = _make_graph(tmp_path)
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custom_out = tmp_path / "custom-graph"
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out.rename(custom_out)
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env = os.environ.copy()
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env["GRAPHIFY_OUT"] = custom_out.name
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r = _run(["query", "test"], tmp_path, env=env)
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assert r.returncode == 0, r.stderr
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assert len(r.stdout) > 0
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def test_extract_writes_to_graphify_out_env(tmp_path):
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"""#1423: `graphify extract` honours GRAPHIFY_OUT for where it WRITES, not only
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where readers look — previously it hardcoded graphify-out/ and ignored the
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override. Code-only corpus, so no LLM backend is needed."""
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(tmp_path / "m.py").write_text("def a():\n return b()\n\n\ndef b():\n return 1\n")
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env = os.environ.copy()
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env["GRAPHIFY_OUT"] = "custom-out"
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r = _run(["extract", "."], tmp_path, env=env)
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assert r.returncode == 0, r.stderr
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assert (tmp_path / "custom-out" / "graph.json").exists(), r.stdout
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assert (tmp_path / "custom-out" / "manifest.json").exists()
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# The default dir must NOT be created when the override is set.
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assert not (tmp_path / "graphify-out").exists(), "extract ignored GRAPHIFY_OUT and wrote graphify-out/"
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# Manifest keys are relative to the scan root (portable) — #1417.
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keys = list(json.loads((tmp_path / "custom-out" / "manifest.json").read_text()).keys())
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assert keys == ["m.py"], keys
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# ── graphify path ────────────────────────────────────────────────────────────
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def test_path_runs_without_error(tmp_path):
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_make_graph(tmp_path)
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r = _run(["path", "Transformer", "LayerNorm"], tmp_path)
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# May find or not find a path — either is valid, should not crash
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assert r.returncode == 0, r.stderr
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def test_path_missing_graph_fails(tmp_path):
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r = _run(["path", "a", "b"], tmp_path)
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assert r.returncode != 0
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def test_path_uses_graphify_out_env(tmp_path):
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out = _make_graph(tmp_path)
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custom_out = tmp_path / "custom-graph"
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out.rename(custom_out)
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env = os.environ.copy()
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env["GRAPHIFY_OUT"] = custom_out.name
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r = _run(["path", "Transformer", "LayerNorm"], tmp_path, env=env)
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assert r.returncode == 0, r.stderr
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# ── graphify explain ─────────────────────────────────────────────────────────
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def test_explain_runs_without_error(tmp_path):
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_make_graph(tmp_path)
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r = _run(["explain", "test"], tmp_path)
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assert r.returncode == 0, r.stderr
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def test_explain_missing_graph_fails(tmp_path):
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r = _run(["explain", "anything"], tmp_path)
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assert r.returncode != 0
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def test_explain_uses_graphify_out_env(tmp_path):
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out = _make_graph(tmp_path)
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custom_out = tmp_path / "custom-graph"
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out.rename(custom_out)
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env = os.environ.copy()
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env["GRAPHIFY_OUT"] = custom_out.name
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r = _run(["explain", "test"], tmp_path, env=env)
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assert r.returncode == 0, r.stderr
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# ── graphify export unknown format ───────────────────────────────────────────
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def test_export_unknown_format_fails(tmp_path):
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r = _run(["export", "pdf"], tmp_path)
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assert r.returncode != 0
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def test_update_no_cluster_writes_raw_graph(tmp_path):
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src = tmp_path / "sample.py"
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src.write_text("def f():\n return 1\n", encoding="utf-8")
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r = _run(["update", ".", "--no-cluster"], tmp_path)
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assert r.returncode == 0, r.stderr
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graph_path = tmp_path / "graphify-out" / "graph.json"
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assert graph_path.exists()
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data = json.loads(graph_path.read_text(encoding="utf-8"))
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assert "nodes" in data and "links" in data
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assert all("community" not in node for node in data["nodes"])
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# Regression test for #934 - cluster-only crashes when graphify-out/ doesn't exist
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def test_cluster_only_creates_output_dir_when_missing(tmp_path):
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"""cluster-only must not crash with FileNotFoundError when graphify-out/ is absent (#934)."""
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# Build graph.json somewhere other than the default graphify-out/ location
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# so we can point --graph at it while graphify-out/ doesn't exist yet.
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graph_src = tmp_path / "backup" / "graph.json"
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graph_src.parent.mkdir()
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out_dir = _make_graph(tmp_path)
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graph_json = out_dir / "graph.json"
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# Simulate user archiving the output dir before re-clustering
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import shutil
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shutil.copy(graph_json, graph_src)
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shutil.rmtree(out_dir)
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assert not (tmp_path / "graphify-out").exists()
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r = _run(["cluster-only", ".", "--graph", str(graph_src), "--no-viz"], tmp_path)
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assert r.returncode == 0, r.stderr
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assert (tmp_path / "graphify-out" / "GRAPH_REPORT.md").exists()
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# Regression test for #1027 - cluster-only must remap labels via node overlap
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def test_cluster_only_persists_analysis_sidecar(tmp_path):
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"""cluster-only must refresh .graphify_analysis.json alongside graph.json.
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Downstream export commands use the sidecar for community membership and
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should not see stale or missing community analysis after a recluster.
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"""
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out = _make_graph(tmp_path)
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analysis_path = out / ".graphify_analysis.json"
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analysis_path.unlink()
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r = _run(["cluster-only", ".", "--no-viz"], tmp_path)
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assert r.returncode == 0, r.stderr
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assert analysis_path.exists()
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analysis = json.loads(analysis_path.read_text(encoding="utf-8"))
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assert analysis["communities"]
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assert analysis["cohesion"]
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assert "gods" in analysis
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assert "surprises" in analysis
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assert "questions" in analysis
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graph = json.loads((out / "graph.json").read_text(encoding="utf-8"))
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graph_cids = {
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str(node["community"])
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for node in graph.get("nodes", [])
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if node.get("community") is not None
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}
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assert graph_cids == set(analysis["communities"])
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def test_cluster_only_remaps_labels_to_previous_cids(tmp_path):
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"""cluster-only must invoke remap_communities_to_previous so the existing
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.graphify_labels.json keeps tracking the same conceptual communities after
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re-clustering. Without the remap call, Leiden's size-descending cid order
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re-applies labels by raw index and they silently misalign with cluster
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contents (#1027). Mirror of the watch/update fix from #822.
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"""
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out = _make_graph(tmp_path)
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graph_json = out / "graph.json"
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labels_json = out / ".graphify_labels.json"
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# Tag every node with an out-of-band community id and write a labels file
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# keyed on those ids. After cluster-only, at least one of those sentinel
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# ids must survive in the labels file (= remap succeeded by node overlap).
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# If the cluster-only branch skips remap, Leiden returns small ints
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# (0, 1, ...) and the sentinel keys disappear entirely.
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g = json.loads(graph_json.read_text(encoding="utf-8"))
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nodes = g.get("nodes", [])
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assert len(nodes) >= 4, "fixture must have enough nodes to form 2+ communities"
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sentinel_a, sentinel_b = 4242, 9999
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half = len(nodes) // 2
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for i, n in enumerate(nodes):
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n["community"] = sentinel_a if i < half else sentinel_b
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graph_json.write_text(json.dumps(g), encoding="utf-8")
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labels_json.write_text(
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json.dumps({str(sentinel_a): "First Group", str(sentinel_b): "Second Group"}),
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encoding="utf-8",
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)
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r = _run(["cluster-only", ".", "--no-viz"], tmp_path)
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assert r.returncode == 0, r.stderr
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# Real signal: labels.json keys must align with the community ids actually
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# written to graph.json's per-node community attribute. Without remap,
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# Leiden returns small cids (0, 1, ...) but labels.json still carries the
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# old sentinel keys, so the intersection is empty and labels are orphaned.
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final_graph = json.loads(graph_json.read_text(encoding="utf-8"))
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final_labels = json.loads(labels_json.read_text(encoding="utf-8"))
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actual_cids = {n.get("community") for n in final_graph.get("nodes", [])}
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label_cids = {int(k) for k in final_labels.keys()}
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overlap = actual_cids & label_cids
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assert overlap, (
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f"After cluster-only with prior labels keyed on cids {label_cids}, at "
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f"least one of those cids must still appear in graph.json's community "
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f"attribute ({actual_cids}). Without remap_communities_to_previous "
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f"(#1027) Leiden renumbers communities to 0,1,... and the prior labels "
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f"become orphaned. Final labels: {final_labels}"
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)
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# ── communities-fallback when .graphify_analysis.json is absent ──────────────
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# The watch / post-commit rebuild path only writes graph.json + GRAPH_REPORT.md;
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# it does NOT regenerate .graphify_analysis.json. The full `graphify extract`
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# pipeline also removes its temp files at the end of the run on some skill
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# workflows. In both cases the per-node `community` attribute is intact on
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# every node in graph.json — that's the source of truth `to_json` writes.
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# Without these tests, `graphify export html|obsidian|wiki|svg|graphml|neo4j`
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# silently bails or generates a degraded artifact whenever the sidecar is
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# missing, even though the data is right there.
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def test_export_html_falls_back_to_node_community_attribute(tmp_path):
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"""When .graphify_analysis.json is absent, export html should reconstruct
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communities from the per-node attribute in graph.json rather than bailing
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out with 'Single community - aggregated view not useful.'.
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"""
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out = _make_graph(tmp_path)
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# Simulate the watch-rebuild / cleanup case: graph.json + labels survive,
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# analysis sidecar is gone.
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(out / ".graphify_analysis.json").unlink()
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r = _run(["export", "html"], tmp_path)
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assert r.returncode == 0, r.stderr
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html = out / "graph.html"
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assert html.exists(), "graph.html should be generated from the fallback"
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assert html.stat().st_size > 0
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# The success message comes from to_html — confirm we're not hitting the
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# "Single community" bail-out path.
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assert "Single community" not in r.stdout
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assert "Single community" not in r.stderr
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def test_export_html_fallback_recovers_multiple_communities(tmp_path):
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"""Stronger assertion: the reconstructed `communities` dict should have the
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SAME community count as the analysis sidecar would, so downstream code
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(aggregation thresholds, member counts) sees identical input.
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"""
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out = _make_graph(tmp_path)
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# Read the canonical community count from the analysis sidecar
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analysis = json.loads((out / ".graphify_analysis.json").read_text(encoding="utf-8"))
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expected_count = len(analysis["communities"])
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# And the count we'd reconstruct from graph.json's node attributes
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graph = json.loads((out / "graph.json").read_text(encoding="utf-8"))
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reconstructed_cids = {
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n["community"] for n in graph.get("nodes", [])
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if n.get("community") is not None
|
|
}
|
|
assert len(reconstructed_cids) == expected_count, (
|
|
f"reconstruction would lose communities: sidecar={expected_count} vs "
|
|
f"graph.json={len(reconstructed_cids)}"
|
|
)
|
|
|
|
# Now remove the sidecar and confirm the CLI still succeeds end-to-end.
|
|
(out / ".graphify_analysis.json").unlink()
|
|
r = _run(["export", "html"], tmp_path)
|
|
assert r.returncode == 0, r.stderr
|
|
assert (out / "graph.html").exists()
|
|
|
|
|
|
def test_export_html_no_community_data_at_all_still_succeeds(tmp_path):
|
|
"""If a graph.json was somehow written without any per-node `community`
|
|
attribute (older versions of to_json, hand-built graphs), the fallback
|
|
should produce an empty communities dict and the renderer should still
|
|
not crash. Whether the aggregated view is useful is a separate question.
|
|
"""
|
|
out = _make_graph(tmp_path)
|
|
(out / ".graphify_analysis.json").unlink()
|
|
|
|
# Strip the community attribute from every node
|
|
graph_path = out / "graph.json"
|
|
graph = json.loads(graph_path.read_text(encoding="utf-8"))
|
|
for n in graph.get("nodes", []):
|
|
n.pop("community", None)
|
|
graph_path.write_text(json.dumps(graph), encoding="utf-8")
|
|
|
|
r = _run(["export", "html"], tmp_path)
|
|
# Should NOT crash. It may print a warning and skip rendering, but exit
|
|
# code stays clean — same behaviour as the pre-fallback empty-communities
|
|
# path, just no longer silently failing on the common case.
|
|
assert r.returncode == 0, r.stderr
|