mirror of
https://github.com/safishamsi/graphify.git
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Safi
d4b24d8609
- Replace pyvis with custom vis.js renderer: node size by degree, click-to-inspect panel with clickable neighbors, search box, community filter, physics clustering by community - HTML graph generated by default on every run (no --html flag needed) - Token reduction benchmark auto-runs after every /graphify on corpora >5k words - Fix 292 edge warnings: silently skip stdlib/external edges in build.py - Fix build() to merge extractions before building (cross-extraction edges were dropped) - Add 5 HTML renderer tests (223 total) - Remove unnecessary files: lib/, tests/eval_attention.py, misplaced eval reports - Add graphify-out/ and .graphify_*.json to .gitignore - Bump version to 0.1.4, remove pyvis dependency - README: token reduction as top-level selling point, vis.js in tech stack, graph.html in output listing, correct test count and install command
128 lines
4.0 KiB
Python
128 lines
4.0 KiB
Python
import json
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import tempfile
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from pathlib import Path
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from graphify.build import build_from_json
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from graphify.cluster import cluster
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from graphify.export import to_json, to_cypher, to_graphml, to_html
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FIXTURES = Path(__file__).parent / "fixtures"
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def make_graph():
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return build_from_json(json.loads((FIXTURES / "extraction.json").read_text()))
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def test_to_json_creates_file():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.json"
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to_json(G, communities, str(out))
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assert out.exists()
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def test_to_json_valid_json():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.json"
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to_json(G, communities, str(out))
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data = json.loads(out.read_text())
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assert "nodes" in data
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assert "links" in data
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def test_to_json_nodes_have_community():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.json"
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to_json(G, communities, str(out))
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data = json.loads(out.read_text())
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for node in data["nodes"]:
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assert "community" in node
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def test_to_cypher_creates_file():
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G = make_graph()
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "cypher.txt"
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to_cypher(G, str(out))
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assert out.exists()
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def test_to_cypher_contains_merge_statements():
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G = make_graph()
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "cypher.txt"
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to_cypher(G, str(out))
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content = out.read_text()
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assert "MERGE" in content
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def test_to_graphml_creates_file():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.graphml"
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to_graphml(G, communities, str(out))
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assert out.exists()
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def test_to_graphml_valid_xml():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.graphml"
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to_graphml(G, communities, str(out))
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content = out.read_text()
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assert "<graphml" in content
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assert "<node" in content
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def test_to_graphml_has_community_attribute():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.graphml"
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to_graphml(G, communities, str(out))
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content = out.read_text()
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assert "community" in content
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def test_to_html_creates_file():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.html"
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to_html(G, communities, str(out))
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assert out.exists()
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def test_to_html_contains_visjs():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.html"
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to_html(G, communities, str(out))
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content = out.read_text()
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assert "vis-network" in content
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def test_to_html_contains_search():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.html"
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to_html(G, communities, str(out))
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content = out.read_text()
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assert "search" in content.lower()
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def test_to_html_contains_legend_with_labels():
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G = make_graph()
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communities = cluster(G)
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labels = {cid: f"Group {cid}" for cid in communities}
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.html"
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to_html(G, communities, str(out), community_labels=labels)
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content = out.read_text()
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assert "Group 0" in content
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def test_to_html_contains_nodes_and_edges():
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G = make_graph()
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communities = cluster(G)
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with tempfile.TemporaryDirectory() as tmp:
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out = Path(tmp) / "graph.html"
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to_html(G, communities, str(out))
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content = out.read_text()
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assert "RAW_NODES" in content
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assert "RAW_EDGES" in content
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