Blame for code/v3_data.py

#!/usr/bin/env python3
"""v3-Trainingsdaten (rein deterministisch, ohne 27B; die Wahrheit ist immer bekannt).

Neu gegenueber v2/Hardcore:
  * Leerzeichen zaehlen als Zeichen und stehen als sichtbares Symbol (SPACE) in Spreizung/Positionen
  * neue Beispiele: Ueberlaenge 46-80 Zeichen, Saetze, Code, Pfade/URLs/Mails, Sonderzeichen-Gruppen
  * Zaehlspektakel beginnt mit einer Ansage 'Ich zaehle bis N!'; Variante 'counter' schreibt hinter jede Zahl [k/N]
  * die alten Beispiele (v2 + Hardcore, 4172) werden ins neue Format umgeschrieben (stoerender '.' nach dem Think-Block entfaellt)
Ausgabe: v3/dataset_v3_<variante>.jsonl, v3/heldout_v3.json (frisches Testset, nie im Training).

Aufruf: v3_data.py [--selftest]
"""
import json
import os
import random
import re
import string
import sys
from collections import Counter
from pathlib import Path

os.environ["CUDA_VISIBLE_DEVICES"] = ""
sys.path.insert(0, "/mnt/models/graf_zahl")
from generate_hardcore_massive import PERF_RE, TC, TO, canonical_number  # noqa: E402

PLATTE = "/home/david/Schreibtisch/Platte"
OUTDIR = Path(f"{PLATTE}/models/graf_zahl/v3")
MIX = f"{PLATTE}/models/graf_zahl/mixed_hardcore_dataset.jsonl"
CPT = "/mnt/models/graf_zahl/cpt_data/fineweb_heal_dataset.jsonl"
POOL = "/mnt/models/graf_zahl/word_pool_hardcore.json"
TESTS = [f"{PLATTE}/models/graf_zahl/ab_test_results.json", f"{PLATTE}/models/graf_zahl/generalization_results.json"]
TOKENIZER = f"{PLATTE}/models/graf_zahl/qwen_healed_merged"
SPACE = "␣"
SEED = 3407
VARIANTS = ("plain", "counter")

N_LONG, N_SPACE_CODE, N_RUNS = 500, 700, 300


def sym(c):
    return SPACE if c == " " else c


def build_think(text):
    n = len(text)
    lines = [TO, f"Wort: {text}", "Spreizung: " + " - ".join(sym(c) for c in text), "Zählung:"]
    lines += [f"[Position {i}: {sym(c)}] -> Zähler: {i}." for i, c in enumerate(text, 1)]
    lines += [f"Zur Sicherheit nachgezählt: {n}.", TC]
    return "\n".join(lines)


def build_spectacle(n, comments, variant):
    items = []
    for i in range(1, n + 1):
        s = f"{canonical_number(i)}! Ah ah ah! ({comments[i - 1]})"
        items.append(s + f" [{i}/{n}]" if variant == "counter" else s)
    return f"Ich zähle bis {n}!\n" + " ".join(items) + f" Das sind {n}."


def build_assistant(text, comments, variant):
    return build_think(text) + "\n" + build_spectacle(len(text), comments, variant)


ITEM_RE = re.compile(r"([A-Za-zäöüÄÖÜß]+)! Ah ah ah! \(([^()\n]{1,80})\)(?: \[(\d+)/(\d+)\])?")


def validate(text, assistant, variant):
    """Rueckgabe: Fehlertext oder None. Prueft gegen die Wahrheit (text)."""
    n = len(text)
    head = build_think(text) + f"\nIch zähle bis {n}!\n"
    if not assistant.startswith(head):
        return "Think-Block oder Ansage weicht ab"
    perf = assistant[len(head):]
    items = ITEM_RE.findall(perf)
    if len(items) != n:
        return f"{len(items)} Zahlen statt {n}"
    for i, (num, _, k, nn) in enumerate(items, 1):
        if num != canonical_number(i):
            return f"Zahlwort {i}"
        if variant == "counter" and (k, nn) != (str(i), str(n)):
            return f"Zaehler {i}"
    if build_assistant(text, [c for _, c, _, _ in items], variant) != assistant:
        return "Format weicht ab"
    return None


# --------------------------------------------------------------------------- Textquellen
def load_sentences(exclude_words, limit_articles=8000):
    out = []
    for i, line in enumerate(open(CPT, encoding="utf-8")):
        if i >= limit_articles:
            break
        for s in re.split(r"(?<=[a-zäöüß][.!?])\s+", json.loads(line)["text"][:4000]):
            s = s.strip()
            if (20 <= len(s) <= 80 and re.fullmatch(r"[A-Za-zÄÖÜäöüß0-9 ,.;:!?()\-]+", s) and "  " not in s
                    and s[0].isupper() and s[-1] in ".!?" and len(s.split()) >= 4
                    and sum(c.isalpha() for c in s) >= 0.7 * len(s)
                    and not any(w in s.lower() for w in exclude_words)):
                out.append(s)
    return sorted(set(out))


def load_pool_words(exclude_words):
    return [p["wort"] for p in json.load(open(POOL, encoding="utf-8"))
            if not any(w in p["wort"].lower() for w in exclude_words)]


def load_excluded():
    words, strings = set(), set()
    for p in TESTS:
        for r in json.load(open(p, encoding="utf-8")):
            t = r.get("wort") or r.get("text")
            (strings if r.get("text") else words).add(t.lower())
            strings.add(t)
    return words | {w for w in strings if len(w) >= 8 and w.isalpha()}, strings


def load_comments():
    c = Counter()
    for line in open(f"/mnt/models/graf_zahl/dataset_massive_v2.jsonl", encoding="utf-8"):
        for _, cm in PERF_RE.findall(json.loads(line)["messages"][2]["content"]):
            cm = cm.strip()
            if cm and len(cm) <= 40 and not re.search(r"\d", cm):
                c[cm] += 1
    return [k for k, _ in c.most_common(40)]


# --------------------------------------------------------------------------- Generatoren
SYMS = "!#$%&*+-=?_.:;,@/|~^"
BRACKETS = "()[]{}<>"


def rand_alnum(r, n):
    return "".join(r.choice(string.ascii_letters + string.digits) for _ in range(n))


def rand_sym(r, n):
    return "".join(r.choice(string.ascii_letters + string.digits + SYMS + BRACKETS) for _ in range(n))


def compound(r, words, lo, hi):
    for _ in range(200):
        parts, total = [], 0
        while total < lo:
            w = r.choice(words)
            if total + len(w) > hi:
                break
            parts.append(w if not parts else w[0].lower() + w[1:])
            total += len(w)
        if lo <= total <= hi:
            return "".join(parts)
    return None


def runs(r, lo, hi):
    pool = string.ascii_letters + string.digits + SYMS + "()[]{}<>"
    s, prev = "", None
    target = r.randint(lo, hi)
    while len(s) < target:
        c = r.choice([x for x in pool if x != prev])
        s += c * r.randint(2, 5)
        prev = c
    return s[:target] if r.random() < 0.5 else s[:target] + rand_alnum(r, 0)


def hexs(r, n):
    return "".join(r.choice("0123456789abcdef") for _ in range(n))


def code_like(r, words):
    w = lambda: r.choice(["count", "total", "value", "index", "result", "name", "data", "item", "size", "temp"])
    n = lambda: str(r.randint(1, 999))
    a, b, f = w(), w(), w()
    kind = r.randrange(24)
    return [
        f"def {f}({a}): return {a} + {n()}", f"for {a} in range({n()}):", f'print("{r.choice(words)[:10]}")',
        f"if {a} > {n()}: {b} = {a}", f"{a} = [{n()}, {n()}, {n()}]", f"import {r.choice(['os', 'sys', 'json', 'math', 'time'])}",
        f"while {a} < {n()}:", f"return {a}[{r.randint(0, 9)}]", f"SELECT {a} FROM {b} WHERE id = {n()};",
        f"UPDATE {a} SET {b} = {n()} WHERE id = {n()};", f"const {a} = {n()} * {n()};", f"console.log({a});",
        f"function {f}({a}) {{ return {a}; }}", f'<div class="{a}">{r.choice(words)[:8]}</div>', f'<a href="/{a}">{b}</a>',
        f"ls -la /home/{a}", f'grep -r "{a}" ./src', f"cd ../{a} && make", f"{a}.{b}({n()})", f"x = {n()} if {a} else {n()}",
        f"git commit -m \"{a} {b}\"", f"{a}[{b}] = {a}[{f}] + {n()};", f"int {a} = {n()};", f"#include <{r.choice(['stdio', 'stdlib', 'string'])}.h>",
    ][kind]


def misc_string(r, words):
    kind = r.randrange(10)
    name = lambda: r.choice(["max", "anna", "tom", "lisa", "peter", "julia"])
    dom = lambda: r.choice(["example", "mail", "firma", "test", "server"])
    return [
        f"/usr/local/bin/{r.choice(['python', 'node', 'gcc', 'tool'])}{r.randint(1, 9)}", f"https://www.{dom()}.de/{r.choice(['seite', 'blog', 'shop'])}/{r.randint(1, 999)}",
        f"{name()}.{name()}@{dom()}.de", f"{r.randint(1, 255)}.{r.randint(0, 255)}.{r.randint(0, 255)}.{r.randint(0, 255)}",
        ":".join(hexs(r, 2).upper() for _ in range(6)), f"{hexs(r, 8)}-{hexs(r, 4)}-{hexs(r, 4)}-{hexs(r, 12)}"[:r.randint(30, 36)],
        f"0x{hexs(r, r.randint(6, 16))}", f"2026-{r.randint(1, 12):02d}-{r.randint(1, 28):02d} {r.randint(0, 23):02d}:{r.randint(0, 59):02d}:{r.randint(0, 59):02d}",
        f"v{r.randint(1, 9)}.{r.randint(0, 99)}.{r.randint(0, 999)}-{r.choice(['beta', 'rc1', 'alpha'])}",
        json.dumps({r.choice(["id", "name", "wert"]): r.randint(1, 99), "ok": r.choice([True, False])}),
    ][kind]


# --------------------------------------------------------------------------- Prompts
Q_STR = ["Wie viele Zeichen hat der String {q}?", "Zähle die Zeichen in {q}.", "Wie lang ist {q} (in Zeichen)?",
         "Bitte zähle alle Zeichen von {q}.", "How many characters are in {q}?", "Hey Graf, wie viele Zeichen hat {q}?",
         "Wie viele Zeichen hat das Wort {q}?", "Zerlege und zähle: {q}"]


def quote(s):
    for a, b in (("'", "'"), ('"', '"'), ("«", "»")):
        if a not in s and b not in s:
            return f"{a}{s}{b}"
    return f"«{s}»"


def make_prompt(r, text):
    tpl = r.choice(Q_STR)
    if " " in text and r.random() < 0.5:
        tpl += " Leerzeichen zählen mit." if not tpl.startswith("How") else " Count the spaces too."
    return tpl.format(q=quote(text))


# --------------------------------------------------------------------------- Aufbau
def build_new(seed, counts, words, sentences, excluded_strings, taken):
    r = random.Random(seed)
    rows = []

    def add(text, kat):
        if text and 7 <= len(text) <= 80 and text not in excluded_strings and text not in taken and text == text.strip() and "  " not in text:
            taken.add(text)
            rows.append((kat, text))
            return True
        return False

    def fill(kat, n, fn):
        c, tries = 0, 0
        while c < n and tries < n * 50:
            tries += 1
            c += add(fn(), kat)

    long_n, sc_n, run_n = counts
    fill("lang", int(long_n * 0.30), lambda: rand_alnum(r, r.randint(46, 80)))
    fill("lang", int(long_n * 0.20), lambda: rand_sym(r, r.randint(46, 80)))
    fill("lang", int(long_n * 0.25), lambda: compound(r, words, 46, 80))
    long_sent = [s for s in sentences if len(s) >= 46]
    fill("lang", int(long_n * 0.25), lambda: r.choice(long_sent) if long_sent else None)
    short_sent = [s for s in sentences if len(s) <= 60]
    fill("satz", int(sc_n * 0.36), lambda: r.choice(short_sent))
    fill("code", int(sc_n * 0.36), lambda: code_like(r, words))
    fill("misc", int(sc_n * 0.28), lambda: misc_string(r, words))
    fill("runs", run_n, lambda: runs(r, 8, 45))
    return rows


def rewrite_old(variant, comments_pool):
    rows = []
    for i, line in enumerate(open(MIX, encoding="utf-8")):
        ex = json.loads(line)
        a = ex["messages"][2]["content"]
        text = re.search(r"^Wort: (.+)$", a, re.M).group(1)
        cms = [c.strip() for _, c in PERF_RE.findall(a.split("</think>")[-1])]
        if len(cms) != len(text):
            continue
        ex["messages"][2]["content"] = build_assistant(text, cms, variant)
        rows.append(("alt", text, ex))
    return rows


def main():
    OUTDIR.mkdir(parents=True, exist_ok=True)
    ex_words, ex_strings = load_excluded()
    words = [w for w in load_pool_words(ex_words) if len(w) <= 30]
    sentences = [s for s in load_sentences(ex_words)]
    comments = load_comments()
    v2_system = json.loads(open(MIX, encoding="utf-8").readline())["messages"][0]["content"]
    print(f"Woerter {len(words)}, Saetze {len(sentences)}, Kommentare {len(comments)}, ausgeschlossene Teststrings {len(ex_strings)}", flush=True)

    taken = set()
    new = build_new(SEED, (N_LONG, N_SPACE_CODE, N_RUNS), words, sentences, ex_strings, taken)
    held = build_new(777, (0, 0, 0), words, sentences, ex_strings, taken)  # Platzhalter, unten gezielt gefuellt
    print("Neue Beispiele:", dict(Counter(k for k, _ in new)), "gesamt", len(new), flush=True)

    # frisches Testset (nicht im Training): eigene Seeds, Texte nie in 'taken'
    rh = random.Random(777)
    hs = []
    def add_h(kat, text, n):
        if text and text not in taken and text not in ex_strings and text == text.strip() and "  " not in text and 7 <= len(text) <= 80:
            taken.add(text); hs.append({"kategorie": kat, "text": text, "prompt": make_prompt(rh, text)})
    tries = 0
    plan = [("H Satz (Leerzeichen)", 8, lambda: rh.choice(sentences)), ("H Code", 8, lambda: code_like(rh, words)),
            ("H Pfad/URL/Mail/IP", 6, lambda: misc_string(rh, words)), ("H Sonderzeichen-Gruppen", 6, lambda: runs(rh, 8, 45)),
            ("H Zufall 50-75", 6, lambda: rand_sym(rh, rh.randint(50, 75))), ("H Satz 55-75", 4, lambda: rh.choice([s for s in sentences if len(s) >= 55])),
            ("H Kompositum 50-75", 4, lambda: compound(rh, words, 50, 75))]
    for kat, n, fn in plan:
        have = 0
        while have < n and tries < 5000:
            tries += 1
            before = len(hs); add_h(kat, fn(), n); have += len(hs) - before
    json.dump(hs, open(OUTDIR / "heldout_v3.json", "w", encoding="utf-8"), ensure_ascii=False, indent=1)
    print("Testset:", dict(Counter(h["kategorie"] for h in hs)), "gesamt", len(hs), flush=True)

    for variant in VARIANTS:
        rng = random.Random(SEED)
        allrows = rewrite_old(variant, comments)
        for kat, text in new:
            cms = [rng.choice(comments) for _ in text]
            ex = {"messages": [{"role": "system", "content": v2_system},
                               {"role": "user", "content": make_prompt(rng, text)},
                               {"role": "assistant", "content": build_assistant(text, cms, variant)}]}
            allrows.append((kat, text, ex))
        bad = [(k, t[:30], validate(t, e["messages"][2]["content"], variant)) for k, t, e in allrows
               if validate(t, e["messages"][2]["content"], variant)]
        assert not bad, bad[:3]
        seen_t, dedup = set(), []
        for row in allrows:
            if row[1] in seen_t:
                continue
            seen_t.add(row[1])
            dedup.append(row)
        print(f"[{variant}] {len(allrows) - len(dedup)} doppelte Texte entfernt", flush=True)
        allrows = dedup
        rng.shuffle(allrows)
        out = OUTDIR / f"dataset_v3_{variant}.jsonl"
        with open(out, "w", encoding="utf-8") as f:
            for _, _, e in allrows:
                f.write(json.dumps(e, ensure_ascii=False) + "\n")
        print(f"[{variant}] {len(allrows)} Beispiele, alle validiert -> {out} ({out.stat().st_size / 1e6:.1f} MB)", flush=True)


def selftest():
    for variant in VARIANTS:
        for t in ("Kaffee", "Hallo Welt", "arr[i] = 1;", "@@@###$$$%%%"):
            a = build_assistant(t, ["Donner"] * len(t), variant)
            assert validate(t, a, variant) is None, (variant, t)
            assert validate(t, a.replace(f"Ich zähle bis {len(t)}!", "Ich zähle bis 99!"), variant) is not None
            assert validate(t + "x", a, variant) is not None
    assert validate("ab cd", build_assistant("ab cd", ["Blitz"] * 5, "plain"), "plain") is None
    assert SPACE in build_think("a b")
    print("Selbsttest bestanden: Think-Block mit Leerzeichen-Symbol, beide Spektakel-Varianten, Fehlererkennung.")


if __name__ == "__main__":
    selftest() if "--selftest" in sys.argv else main()