Bump 0.8.13 -> 0.8.45. Extract the SKILL.md monolith (~530 lines) into references/ for progressive disclosure: github-and-merge, transcribe, extraction-spec, exports, update, query, add-watch, hooks. SKILL.md now points to each reference and loads it only on the path that needs it. Inline fixes carried by the new version: empty-extraction guard before any write (#1392), shrink-guard ordering so GRAPH_REPORT/analysis never describe a graph.json that was refused (#479), root= relativization for build/manifest parity across clones (#1361/#1417), stale-cache cleanup and code-only semantic pre-write (#1392), edge-direction preserving merge (#801). Adds FalkorDB export (--falkordb/--falkordb-push) and rewrites the frontmatter description (drops the obsolete trigger: field). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0169vjUD1sP9Nx4ZiCa8wvAw
8.9 KiB
graphify reference: incremental update and cluster-only
Load this only when the user passed --update or --cluster-only. A first-time full build never reads this file.
For --update (incremental re-extraction)
Use when you've added or modified files since the last run. Only re-extracts changed files - saves tokens and time.
$(cat graphify-out/.graphify_python) -c "
import sys, json
from graphify.detect import detect_incremental, save_manifest
from pathlib import Path
result = detect_incremental(Path('INPUT_PATH'))
new_total = result.get('new_total', 0)
print(json.dumps(result, indent=2, ensure_ascii=False))
Path('graphify-out/.graphify_incremental.json').write_text(json.dumps(result, ensure_ascii=False), encoding=\"utf-8\")
deleted = list(result.get('deleted_files', []))
if new_total == 0 and not deleted:
print('No files changed since last run. Nothing to update.')
raise SystemExit(0)
if deleted:
print(f'{len(deleted)} deleted file(s) to prune.')
if new_total > 0:
print(f'{new_total} new/changed file(s) to re-extract.')
"
Then populate .graphify_detect.json so Steps 3A–6 (which read it unconditionally) see the right state for an incremental run. files carries the changed subset (drives Step 3A AST + Step 3B0 cache check on only what changed); all_files carries the full corpus for any step that needs corpus-wide context:
$(cat graphify-out/.graphify_python) -c "
import json
from pathlib import Path
r = json.loads(Path('graphify-out/.graphify_incremental.json').read_text(encoding=\"utf-8\"))
Path('graphify-out/.graphify_detect.json').write_text(json.dumps({
'files': r.get('new_files', {}),
'all_files': r.get('files', {}),
'total_files': r.get('new_total', 0),
'total_words': r.get('total_words', 0),
'skipped_sensitive': r.get('skipped_sensitive', []),
'needs_graph': True,
}, ensure_ascii=False), encoding=\"utf-8\")
"
If new files exist, first check whether all changed files are code files:
$(cat graphify-out/.graphify_python) -c "
import json
from pathlib import Path
result = json.loads(open('graphify-out/.graphify_incremental.json', encoding='utf-8').read()) if Path('graphify-out/.graphify_incremental.json').exists() else {}
code_exts = {'.py','.ts','.js','.go','.rs','.java','.cpp','.c','.rb','.swift','.kt','.cs','.scala','.php','.cc','.cxx','.hpp','.h','.kts','.lua','.toc','.f','.F','.f90','.F90','.f95','.F95','.f03','.F03','.f08','.F08'}
new_files = result.get('new_files', {})
all_changed = [f for files in new_files.values() for f in files]
code_only = all(Path(f).suffix.lower() in code_exts for f in all_changed)
print('code_only:', code_only)
"
If code_only is True: print [graphify update] Code-only changes detected - skipping semantic extraction (no LLM needed), run only Step 3A (AST) on the changed files, skip Step 3B entirely (no subagents), then go straight to merge and Steps 4–8.
If code_only is False (any changed file is a doc/paper/image/video): first, if any changed file is in new_files['video'], run references/transcribe.md (Step 2.5) on those files, then rewrite .graphify_detect.json to move the resulting transcript paths into files['document'] and drop files['video'] — otherwise raw .mp4/.mp3 paths are fed to semantic subagents as unreadable media (#1392). Then run the full Steps 3A–3C pipeline as normal.
If no new files exist (only deletions), create an empty extraction so the merge step can prune:
if [ ! -f graphify-out/.graphify_extract.json ]; then
echo '[graphify update] Only deletions -- creating empty extraction for merge.'
$(cat graphify-out/.graphify_python) -c "
import json
from pathlib import Path
Path('graphify-out/.graphify_extract.json').write_text(json.dumps({'nodes':[],'edges':[],'hyperedges':[],'input_tokens':0,'output_tokens':0}), encoding='utf-8')
"
fi
Then:
$(cat graphify-out/.graphify_python) -c "
import json
from pathlib import Path
from graphify.build import build_merge
from graphify.detect import save_manifest
# Load new extraction and incremental state
new_extraction = json.loads(Path('graphify-out/.graphify_extract.json').read_text(encoding=\"utf-8\"))
incremental = json.loads(Path('graphify-out/.graphify_incremental.json').read_text(encoding=\"utf-8\"))
deleted = list(incremental.get('deleted_files', []))
# prune_sources is ONLY for genuinely DELETED files. Changed/re-extracted files are
# handled by build_merge's replace-on-re-extract (#1344): every source_file in
# new_chunks is dropped from the base before merge, so old/stale nodes don't survive.
# Do NOT add `changed` here: with root= passed, prune_set relativizes to the same base
# as the freshly merged nodes and would DELETE the re-extracted content (#1178 is moot
# now that replace — not the dedup pass — reconciles changed files).
prune = list(deleted) or None
# Use build_merge() — reads graph.json directly without NetworkX round-trip
# so edge direction (calls, implements, imports) is always preserved (#801).
# Pass root= so prune_sources (absolute paths from detect_incremental) are
# relativized to match the graph's relative source_file values; without it
# nothing is pruned and stale nodes accumulate on every update (#1361).
# directed=IS_DIRECTED: replace IS_DIRECTED with True if --directed was given, else
# False. Without it a --directed --update silently rebuilds undirected and collapses
# reciprocal A<->B edges (#1392).
G = build_merge(
[new_extraction],
graph_path='graphify-out/graph.json',
prune_sources=prune,
root='INPUT_PATH',
directed=IS_DIRECTED,
)
print(f'[graphify update] Merged: {G.number_of_nodes()} nodes, {G.number_of_edges()} edges')
# Write merged result back to .graphify_extract.json so Step 4 sees the full graph
merged_out = {
'nodes': [{'id': n, **d} for n, d in G.nodes(data=True)],
'edges': [
# Explicit source/target last so they win over any stale attrs in d.
{**{k: val for k, val in d.items() if k not in ('_src', '_tgt', 'source', 'target')},
'source': d.get('_src', u), 'target': d.get('_tgt', v)}
for u, v, d in G.edges(data=True)
],
# G.graph["hyperedges"] holds hyperedges from both existing graph.json
# and new_extraction (build_merge combines them). Falling back to
# new_extraction only would silently drop prior-run hyperedges (#801).
'hyperedges': list(G.graph.get('hyperedges', [])),
'input_tokens': new_extraction.get('input_tokens', 0),
'output_tokens': new_extraction.get('output_tokens', 0),
}
Path('graphify-out/.graphify_extract.json').write_text(json.dumps(merged_out, ensure_ascii=False), encoding=\"utf-8\")
print(f'[graphify update] Merged extraction written ({len(merged_out[\"nodes\"])} nodes, {len(merged_out[\"edges\"])} edges)')
# Save manifest so next --update diffs against today's state, not the
# prior run's baseline (prevents ghost-node reports on subsequent updates).
# root= matches the build_merge call above so the manifest keys stay relative to
# the scan root — portable across clones/machines, so --update keeps matching
# cached files instead of missing every one after a move (#1417).
save_manifest(incremental['files'], root='INPUT_PATH')
print('[graphify update] Manifest saved.')
"
Then run Steps 4–8 on the merged graph as normal.
After Step 4, show the graph diff:
$(cat graphify-out/.graphify_python) -c "
import json
from graphify.analyze import graph_diff
from graphify.build import build_from_json
from networkx.readwrite import json_graph
import networkx as nx
from pathlib import Path
# Load old graph (before update) from backup written before merge
old_data = json.loads(Path('graphify-out/.graphify_old.json').read_text(encoding=\"utf-8\")) if Path('graphify-out/.graphify_old.json').exists() else None
new_extract = json.loads(Path('graphify-out/.graphify_extract.json').read_text(encoding=\"utf-8\"))
G_new = build_from_json(new_extract, directed=IS_DIRECTED)
if old_data:
G_old = json_graph.node_link_graph(old_data, edges='links')
diff = graph_diff(G_old, G_new)
print(diff['summary'])
if diff['new_nodes']:
print('New nodes:', ', '.join(n['label'] for n in diff['new_nodes'][:5]))
if diff['new_edges']:
print('New edges:', len(diff['new_edges']))
"
Before the merge step, save the old graph: cp graphify-out/graph.json graphify-out/.graphify_old.json
Clean up after: rm -f graphify-out/.graphify_old.json
For --cluster-only
Skip Steps 1–3. Re-run clustering on the existing graph:
graphify cluster-only .
graphify cluster-only . is self-contained: it re-clusters, names communities, and regenerates GRAPH_REPORT.md, graph.json, and graph.html from the existing graph. Do not re-run Steps 5–9 — they read intermediate files (.graphify_extract.json, .graphify_detect.json, .graphify_analysis.json) that a prior build's cleanup (Step 9) already deleted, so they raise FileNotFoundError (#1392). When it finishes, present the refreshed GRAPH_REPORT.md summary as usual.