"""Structured data emitted inside a chat turn. python tools/gen_structured.py --n 700 `pool/structured/repos.jsonl` holds real YAML, JSON, TOML and SQL as files. That covers the tokens but not the situation the target model is actually in: an agent asked for a config answers *inside* an assistant turn, so the structured tokens sit next to chat special tokens rather than at the start of a document. The structured payload in every conversation here is a real file from the pool, byte for byte, keeping its upstream licence. Only the request and the sentence introducing it are templated. """ from __future__ import annotations import argparse import os import random import sys HERE = os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, HERE) import poollib as P SEED = 20260810 GENERATOR_VERSION = "gen_structured/1.0" FENCE = {"yaml": "yaml", "json": "json", "toml": "toml", "sql": "sql"} ASKS = [ ("Show me the {lang} for `{path}` in {repo} — I want to copy it into a new project.", "Here is `{path}` as it stands in {repo}:"), ("What does `{path}` configure in {repo}? Paste it and walk me through it.", "`{path}` in {repo}, in full:"), ("I need the {lang} from `{path}`. Don't summarise it, I need the exact file.", "Verbatim, `{path}`:"), ("Reproduce `{path}` from {repo} so I can diff it against mine.", "`{path}` at the current revision:"), ] TAILS = [ "The parts most projects need to change are the paths and the version pins; " "everything else is defaults.", "Note the ordering matters here — entries later in the file override earlier ones.", "If you copy this, check the pinned versions first; they are the part that goes " "stale fastest.", "Nothing in here is project-specific except the names, so it ports cleanly.", ] def main() -> int: ap = argparse.ArgumentParser() ap.add_argument("--n", type=int, default=700) ap.add_argument("--seed", type=int, default=SEED) ap.add_argument("--max-chars", type=int, default=9000, help="skip payloads longer than this so one file cannot " "swallow the whole category") args = ap.parse_args() rng = random.Random(args.seed) src = [d for d in P.load_pool(categories=("structured",)) if d.get("render") == "text" and len(d["text"]) <= args.max_chars] src.sort(key=lambda d: d["id"]) if not src: raise SystemExit("no structured source documents in the pool") print(f" {len(src)} structured source files eligible") records = [] for i in range(min(args.n, len(src))): d = src[(i * 4409) % len(src)] lang = d["lang"] ask, intro = ASKS[i % len(ASKS)] fields = {"lang": lang.upper() if lang in ("sql", "json") else lang, "path": d["path"], "repo": d["source"]} body = f"```{FENCE.get(lang, lang)}\n{d['text']}\n```" msgs = [ {"role": "user", "content": ask.format(**fields)}, {"role": "assistant", "content": intro.format(**fields) + "\n\n" + body + "\n\n" + TAILS[i % len(TAILS)]}, ] records.append(P.Record( category="structured", domain="structured", source=f"synthetic/structured-in-chat:{d['source']}", license=d["license"], license_url=d.get("license_url", ""), path=f"structured/chat/{d['source']}/{d['path']}", lang=lang, origin="synth_structured_chat", messages=msgs, reasoning_strength="low", render="chat", synthetic=True, provenance={"generator": GENERATOR_VERSION, "seed": args.seed, "payload_from": d["id"], "payload_upstream": d.get("provenance", {}).get("upstream", ""), "note": "the fenced payload is a real repository file, " "reproduced byte for byte under its own licence; " "only the request and framing sentences are templated"}, )) n = P.write_jsonl(os.path.join(P.POOL_ROOT, "structured", "synthetic", "structured-in-chat.jsonl"), records) print(f" pool/structured/synthetic/structured-in-chat.jsonl {n} conversations") return 0 if __name__ == "__main__": sys.exit(main())