Download tempscripts/injection_sandbox/viz_trie.py from tkhersoft/synthdatasets: direct link, hf CLI and curl.
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5.04 kB
| """SANDBOX trie visualization: build the n100 execution trie over canonical | |
| train + test + synthetic + the 51 temp merged injections, and emit into the | |
| sandbox out/ folder: | |
| - trie_after.txt full highlighted text tree | |
| - trie_targets.txt focused before/after view of the 5 fix-target nodes | |
| - trie_after.png/.svg rendered image (if Graphviz is installed) | |
| Read-only w.r.t. canonical data. | |
| Run from repo root: python -u temp/injection_sandbox/viz_trie.py | |
| """ | |
| from __future__ import annotations | |
| import json | |
| import sys | |
| from collections import Counter | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parents[2] | |
| sys.path.insert(0, str(ROOT)) | |
| sys.path.insert(0, str(ROOT / "systemUpgrade")) | |
| from pipeline import load_examples # noqa: E402 | |
| from trie.builder import build_trie # noqa: E402 | |
| from scripts.visualize_distractor_trie import _render_image # noqa: E402 | |
| SAND = Path(__file__).resolve().parent | |
| OUT = SAND / "out" | |
| EXP = ROOT / "data" / "tau-2" / "processed_distractor_exp2" | |
| N100 = EXP / "n100" | |
| MERGED = OUT / "_staging_merged_injections.jsonl" | |
| TARGETS = { | |
| "N1": ["find_user_id_by_email"], | |
| "N2": ["find_user_id_by_email", "get_user_details"], | |
| "N3": ["modify_pending_order_items"], | |
| "N4": ["find_user_id_by_name_zip", "get_user_details", | |
| "get_order_details", "get_order_details", | |
| "get_order_details", "get_order_details"], | |
| "N5": ["find_user_id_by_name_zip", "get_order_details"], | |
| } | |
| manifest = json.loads((N100 / "apis.manifest.json").read_text(encoding="utf-8")) | |
| REAL, CONF, DUMMY = set(manifest.get("real", [])), set(manifest.get("confuser", [])), set(manifest.get("dummy", [])) | |
| def cls(name): | |
| return "REAL" if name in REAL else "conf" if name in CONF else "dummy" if name in DUMMY else "?" | |
| def build(with_merged): | |
| ex = load_examples(EXP / "train.jsonl") + load_examples(EXP / "test.jsonl") | |
| ex += load_examples(N100 / "synthetic_trajectories.jsonl") | |
| if with_merged: | |
| ex += load_examples(MERGED) | |
| return build_trie(ex) | |
| def target_view(trie): | |
| lines = [] | |
| for name, path in TARGETS.items(): | |
| node = trie.traverse(tuple(path)) | |
| lines.append(f"\n{name} {' > '.join(path)}") | |
| if node is None or node.total_child_count() == 0: | |
| lines.append(" (absent)") | |
| continue | |
| probs = node.transition_probs() | |
| for nm in sorted(node.children, key=lambda n: -probs[n]): | |
| tag = cls(nm) | |
| mark = ">>" if tag == "REAL" else " " | |
| lines.append(f" {mark} [{tag:5}] {nm:32} p={probs[nm]:.3f} count={node.children[nm].count}") | |
| return lines | |
| def main(): | |
| before, after = build(False), build(True) | |
| # focused before/after target view | |
| tv = ["FIX-TARGET NODES (before vs after temp injection)", "=" * 70] | |
| tv.append("\n--- BEFORE ---") | |
| tv += target_view(before) | |
| tv.append("\n\n--- AFTER (with 51 merged injections) ---") | |
| tv += target_view(after) | |
| (OUT / "trie_targets.txt").write_text("\n".join(tv), encoding="utf-8") | |
| # full highlighted text tree (after) | |
| lines, node_cls, stats = [], Counter(), {"nodes": 0, "max_depth": 0} | |
| def render(node, depth): | |
| for child in sorted(node.children.values(), key=lambda c: (-c.count, c.api_name)): | |
| c = cls(child.api_name) | |
| node_cls[c] += 1 | |
| stats["nodes"] += 1 | |
| stats["max_depth"] = max(stats["max_depth"], depth + 1) | |
| ind = " " * depth | |
| if c == "REAL": | |
| lines.append(f"{ind}>> REAL {child.api_name} (count={child.count})") | |
| else: | |
| lines.append(f"{ind} [{c:5}] {child.api_name} (count={child.count})") | |
| render(child, depth + 1) | |
| render(after.root, 0) | |
| header = [ | |
| "EXP2 EXECUTION TRIE (train + test + synthetic + 51 temp injections)", | |
| "=" * 70, | |
| f"trajectories: before={before.root.count} after={after.root.count} " | |
| f"(+{after.root.count - before.root.count})", | |
| f"trie nodes: {stats['nodes']} max depth: {stats['max_depth']}", | |
| "nodes by class: " + " ".join(f"{k}={node_cls[k]}" for k in ("REAL", "conf", "dummy", "?")), | |
| "Legend: '>> REAL' = real tau2 API; [conf] = confuser; [dummy] = off-domain", | |
| "=" * 70, "", | |
| ] | |
| (OUT / "trie_after.txt").write_text("\n".join(header + lines), encoding="utf-8") | |
| img = _render_image(after.root, cls, OUT / "trie_after", fmt="png") | |
| _render_image(after.root, cls, OUT / "trie_after", fmt="svg") | |
| print(f"trajectories before={before.root.count} after={after.root.count} (+{after.root.count-before.root.count})") | |
| print("wrote:", (OUT / 'trie_targets.txt').name, ",", (OUT / 'trie_after.txt').name, | |
| ("," + Path(img).name if img else "(no image: Graphviz not installed)")) | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |