| """Regression tests for P2-15: graph.json deserialization integrity."""
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|
|
| import json
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| import sys
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| from pathlib import Path
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|
|
| import networkx as nx
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|
|
| sys.path.insert(0, str(Path(__file__).parent.parent))
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|
|
| from ctx.core.graph import resolve_graph
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|
|
|
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| def _write_graph_file(tmp_path: Path, content: bytes | str) -> Path:
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| p = tmp_path / "graph.json"
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| if isinstance(content, str):
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| p.write_text(content, encoding="utf-8")
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| else:
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| p.write_bytes(content)
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| return p
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|
|
|
|
| class TestLoadGraphIntegrity:
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| """load_graph must return an empty graph rather than raise on bad input."""
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|
|
| def test_file_not_found_returns_empty_graph(self, tmp_path):
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| missing = tmp_path / "nonexistent" / "graph.json"
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| G = resolve_graph.load_graph(path=missing)
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| assert isinstance(G, nx.Graph)
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| assert G.number_of_nodes() == 0
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|
|
| def test_invalid_encoding_returns_empty_graph(self, tmp_path):
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| """File with non-UTF-8 bytes must not raise; returns empty graph."""
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| p = _write_graph_file(tmp_path, b"\xff\xfe{bad encoding\x00")
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 0
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|
|
| def test_truncated_json_returns_empty_graph(self, tmp_path):
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| p = _write_graph_file(tmp_path, '{"nodes": [{"id": "skill:foo"')
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 0
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|
|
| def test_missing_nodes_key_returns_empty_graph(self, tmp_path):
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|
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| data = json.dumps({"links": []})
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| p = _write_graph_file(tmp_path, data)
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 0
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|
|
| def test_missing_links_key_returns_empty_graph(self, tmp_path):
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|
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| data = json.dumps({"nodes": []})
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| p = _write_graph_file(tmp_path, data)
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 0
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|
|
| def test_wrong_schema_type_returns_empty_graph(self, tmp_path):
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|
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| data = json.dumps([{"id": "skill:foo"}])
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| p = _write_graph_file(tmp_path, data)
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 0
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|
|
| def test_null_json_returns_empty_graph(self, tmp_path):
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| p = _write_graph_file(tmp_path, "null")
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 0
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|
|
| def test_valid_graph_loads_correctly(self, tmp_path):
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| """A conforming graph.json must load with the correct node count."""
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|
|
| import networkx as nx
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| from networkx.readwrite import node_link_data
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| G_src = nx.Graph()
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| G_src.add_node("skill:fastapi-pro", label="fastapi-pro", type="skill", tags=["python"])
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| G_src.add_node("skill:docker-expert", label="docker-expert", type="skill", tags=["docker"])
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| G_src.add_edge("skill:fastapi-pro", "skill:docker-expert", weight=1.0)
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| data = node_link_data(G_src)
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| p = _write_graph_file(tmp_path, json.dumps(data))
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| G = resolve_graph.load_graph(path=p)
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| assert G.number_of_nodes() == 2
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| assert G.number_of_edges() == 1
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|
|