[Bug]: graph_diff reports "no changes" when a call is reversed (skill --update summary)
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Nadie ha tomado este issue todavía.
- #4170 de @Mpasha17 — cerrado sin fusionar
Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 68/100
Línea de trabajo
Start at analyze.graph_diff and run the two-file reproduction from the issue, then inspect tools/skillgen/fragments/references/shared/update.md and the aider and devin core fragments. Check how the skill loads G_old, including paths.load_node_link_graph, and use the mentioned regression test as the guide. Done means a reversed call reports one new and one removed edge with correct source and target while no-edit and line-shift cases remain unchanged.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Pre-flight checks
- I have checked the Troubleshooting section in the README
What happened?
analyze.graph_diff reports no changes when a call reverses (a calls b becomes b calls a). The skill's --update flow uses it for the "what changed" summary (tools/skillgen/fragments/references/shared/update.md, plus the aider and devin core fragments). A reversed call is therefore invisible to the user.
There are two causes:
graph_diffkeys undirected edges by sorted endpoint pair, soa→bandb→aproduce the same key.- The skill loads
G_oldwith a plainjson_graph.node_link_graph()call, which loses the arc-order direction (see #4066). So even a direction-aware diff would have nothing to compare.
Expected: a reversed call shows as one removed and one new edge, with the correct source/target.
Measured through the skill's own code on a two-file project:
| Edit | Shown on 0.9.75 | Expected |
|---|---|---|
| no edit | no changes | no changes |
| call reversed | no changes | 1 new, 1 removed edge |
| lines inserted above functions | no changes | no changes |
| new call added | 1 new edge | 1 new edge |
Low severity: it only affects the update summary, not the graph.
Steps to reproduce
python - <<'EOF'
import networkx as nx
from graphify.analyze import graph_diff
def g(src, tgt):
G = nx.Graph()
G.add_node("normalize", label="normalize()")
G.add_node("tokenize", label="tokenize()")
G.add_edge(src, tgt, relation="calls", _src=src, _tgt=tgt)
return G
print(graph_diff(g("tokenize", "normalize"), g("normalize", "tokenize")))
EOF
Error output or graph output
{'new_nodes': [], 'removed_nodes': [], 'new_edges': [], 'removed_edges': [], 'summary': 'no changes'}
Graphify version
0.9.75 (v8 @ 48d7c0e)
Operating System
Linux
Python Version
3.12
Installation Method
built from source (git clone)
Additional Environment Details
No provider environment variables set. Reproduced on a clean checkout.
Additional context
Proposed fix (I'm happy to send a PR after #4066):
- Count an edge as reversed only when both graphs carry
_src/_tgtand the markers differ. In that case it appears in bothnew_edgesandremoved_edges. - Report
source/targetfrom the markers. - Have the skill fragments load
G_oldthroughpaths.load_node_link_graphand regenerate them with skillgen.
Gating on markers keeps today's output for callers that don't stamp them, which matters for the proposed public graph_diff in #164. The naive fix (key every edge by _src/_tgt) gives false positives today, because G_old comes back without markers.
Prototyped with a regression test that fails on v8 and passes with the fix. The no-edit and line-shift cases above still report no changes.
AI disclosure: I investigated this and wrote the reproduction and prototype with Claude Code (Claude Opus 5.5), and verified them myself.
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