#!/usr/bin/env python3
"""Close batch-229 after main-loop five-lens review."""

from __future__ import annotations

import datetime as dt
import json
import sqlite3

from process_ledger import ensure_schema, record_event

DB = "/mnt/donto-data/donto-resources/research/translation-training/kuku-yalanji-runpod-2026-06-30/synthetic/claude-synthetic-v1-2026-07-02/synthetic.db"
LABEL = "batch-229"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-229-clothing-adornment-reference-lexical-expansion-after-rule186-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "CLOTHING/ADORNMENT REFERENCE LEXICAL EXPANSION AFTER RULE 186 (Rule 187). 50 rows. TARGETS: dawarr straw hat, "
    "kayamuku felt hat, malnkurr headband, mirrimbal cockatoo crest, wayarri hair belt, dambal shoes, jilngarr "
    "seashell headband, julkun bark belt, bilangkurr blanket, and wandu hat. FRAMES: bare yaluy deictic "
    "identification, bare present perception with ngayu, yinyay-supported present perception with yundu, "
    "yinyay-supported past perception with jana, and yaluy-supported present perception with ngana. REVIEW: all "
    "targets stayed bare; no loans, rejected clothing candidates, wearing, making, sewing, tying, covering, sleeping, "
    "warming, ownership, possession, dog/back compound, body-part, bird, feather, wax, ceremony, corroboree, mourning, "
    "death, tree/bark-source, hair-source, shellfish, beach, collecting, material-source, walking, foot/body-part, "
    "target case, target compound, plural derivation, productive reduplication, or event semantics."
)

LESSONS = [
    ("process", "A lexical pass after Rule 186 moved to a bounded low-hit clothing/adornment reference field.", "Rule 187: lexical cadence after Rule 186."),
    ("process", "Rule 187 selected ten clothing/adornment nouns with exact dictionary readback and no loan rows.", "Rule 187: clothing/adornment discipline."),
    ("process", "Exact duplicate preflight found 50 planned rows, 50 unique surfaces, and no cross-corpus duplicates before banking.", "Rule 187: duplicate preflight."),
    ("process", "`jurruja` and `yangkija` were rejected because their entries mark English loan words.", "Rule 187: loan rejection."),
    ("process", "Weapon, food, ceremony, spirit, speech-event, and human-classifier fields were rejected for this batch because they imported higher-risk use, event, social, death, taboo, or action semantics.", "Rule 187: field selection."),
    ("lexicon", "`dawarr` is straw hat only; wearing, making, straw-source, and loan rows stay closed.", "Rule 187: dawarr."),
    ("lexicon", "`kayamuku` is felt hat only; the literal dog-back source is not productive license.", "Rule 187: kayamuku."),
    ("lexicon", "`malnkurr` is headband only; wearing, body-part, and making rows stay closed.", "Rule 187: malnkurr."),
    ("lexicon", "`mirrimbal` is cockatoo crest only; feather, wax, bird, making, and ceremony rows stay closed.", "Rule 187: mirrimbal."),
    ("lexicon", "`wayarri` is hair belt only; body-part hair, wearing, and making rows stay closed.", "Rule 187: wayarri."),
    ("lexicon", "`dambal` is shoes only; walking and foot/body-part rows stay closed.", "Rule 187: dambal."),
    ("lexicon", "`jilngarr` is seashell headband only; shellfish, beach, collecting, and material-source rows stay closed.", "Rule 187: jilngarr."),
    ("lexicon", "`julkun` is bark belt only; tree/bark-source, hair-source, wearing, mourning, death, and ceremony rows stay closed.", "Rule 187: julkun."),
    ("lexicon", "`bilangkurr` is blanket only; sleeping, covering, warming, and ownership rows stay closed.", "Rule 187: bilangkurr."),
    ("lexicon", "`wandu` is hat only; wearing, making, and body-part rows stay closed.", "Rule 187: wandu."),
    ("morphology", "All target heads stayed bare; no target LOC, DAT, ABL, PERL, ERG, INST, COMIT, POSS, PRIV, EXCESS, plural, reduplicated, or compound morphology was produced.", "Rule 187: target case restraint."),
    ("morphology", "`kayamuku`, `mirrimbal`, and `jilngarr` stayed lexical dictionary heads, not productive compounds.", "Rule 187: lexical-head restraint."),
    ("morphology", "Pronoun A forms `ngayu`, `yundu`, `jana`, and `ngana` stayed bare.", "Rule 187: pronoun A marking."),
    ("morphology", "`nyajin` remained nyaji-ny past and `nyajil` remained nyaji-l nonpast.", "Rule 187: perception tense forms."),
    ("syntax", "Rows 1-10 used one clothing/adornment target plus `yaluy` with no predicator.", "Rule 187: yaluy deictic syntax."),
    ("syntax", "Rows 11-20 used bare 1sg A plus one bare clothing/adornment object and `nyajil`.", "Rule 187: bare present perception."),
    ("syntax", "Rows 21-30 used bare 2sg A, one bare clothing/adornment object, `yinyay`, and `nyajil`.", "Rule 187: yundu yinyay perception."),
    ("syntax", "Rows 31-40 used bare 3pl A, one bare clothing/adornment object, `yinyay`, and past `nyajin`.", "Rule 187: jana yinyay past perception."),
    ("syntax", "Rows 41-50 used inclusive `ngana`, one bare clothing/adornment object, `yaluy`, and `nyajil`.", "Rule 187: ngana yaluy perception."),
    ("handoff", "Next cadence can consolidate the Rule 187 clothing/adornment set, but loan, wearing, making, material-source, ceremony, mourning, body-part, target-case, and rejected-candidate traps remain closed unless deliberately sourced.", "Rule 187: next cadence."),
]

LEXEMES = [
    ("dawarr", "noun", None, "NA", "straw hat", "batch-229: selected straw hat only; no wearing, making, straw-source, or loan row."),
    ("kayamuku", "noun", None, "NA", "felt hat", "batch-229: selected felt hat only; literal dog-back source closed."),
    ("malnkurr", "noun", None, "NA", "headband", "batch-229: selected headband only; no wearing, body-part, or making row."),
    ("mirrimbal", "noun", None, "NA", "cockatoo crest", "batch-229: selected cockatoo crest only; no feather, wax, bird, making, or ceremony row."),
    ("wayarri", "noun", None, "NA", "hair belt", "batch-229: selected hair belt only; no body-part hair, wearing, or making row."),
    ("dambal", "noun", None, "NA", "shoes", "batch-229: selected shoes only; no walking or foot/body-part row."),
    ("jilngarr", "noun", None, "NA", "seashell headband", "batch-229: selected seashell headband only; no shellfish, beach, collecting, or material-source row."),
    ("julkun", "noun", None, "NA", "bark belt", "batch-229: selected bark belt only; no tree/bark-source, hair-source, wearing, mourning, death, or ceremony row."),
    ("bilangkurr", "noun", None, "NA", "blanket", "batch-229: selected blanket only; no sleeping, covering, warming, or ownership row."),
    ("wandu", "noun", None, "NA", "hat", "batch-229: selected hat only; no wearing, making, or body-part row."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-229: retained local demonstrative in deictic and supported perception rows."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-229: retained local demonstrative in supported perception rows."),
    ("nyaji-l", "verb", "l", "NA", "see; hear; perceive", "batch-229: retained past and nonpast perception rows with clothing/adornment nouns."),
    ("ngayu", "pronoun", None, "NA", "I; 1sg nominative", "batch-229: bare pronoun A in present perception rows."),
    ("yundu", "pronoun", None, "NA", "you; 2sg nominative", "batch-229: bare pronoun A in yinyay-supported present perception rows."),
    ("jana", "pronoun", None, "NA", "they; 3pl nominative", "batch-229: bare pronoun A in yinyay-supported past perception rows."),
    ("ngana", "pronoun", None, "NA", "we; 1pl inclusive", "batch-229: bare pronoun A in yaluy-supported present perception rows."),
]


def main() -> int:
    db = sqlite3.connect(DB)
    db.execute("PRAGMA foreign_keys = ON")
    db.execute("BEGIN")
    ensure_schema(db)
    batch = db.execute("SELECT id FROM batches WHERE label=?", (LABEL,)).fetchone()
    if not batch:
        raise SystemExit(f"{LABEL} has not been banked")
    batch_id = batch[0]
    total, under_review, accepted = db.execute(
        """
        SELECT
          COUNT(*),
          COUNT(*) FILTER (WHERE status='under_review'),
          COUNT(*) FILTER (WHERE status IN ('accepted','revised'))
        FROM sentences
        WHERE batch_id=?
        """,
        (batch_id,),
    ).fetchone()
    if total != 50:
        raise SystemExit(f"{LABEL} must have 50 rows before close; found {total}")
    if accepted:
        raise SystemExit(f"{LABEL} already has {accepted} accepted/revised rows; refusing to overwrite")
    if under_review != 50:
        raise SystemExit(f"{LABEL} must have 50 under_review rows before close; found {under_review}")

    total_rows = db.execute("SELECT COUNT(*) FROM sentences WHERE status!='rejected'").fetchone()[0]
    verified_before, words_before = db.execute(
        """
        SELECT
          COUNT(*),
          SUM(LENGTH(kuku)-LENGTH(REPLACE(kuku,' ',''))+1)
        FROM sentences
        WHERE status IN ('accepted','revised')
        """
    ).fetchone()
    sentence_ids = [row[0] for row in db.execute("SELECT id FROM sentences WHERE batch_id=? ORDER BY seq", (batch_id,))]
    db.executemany("DELETE FROM reviews WHERE sentence_id=?", [(sid,) for sid in sentence_ids])
    db.executemany(
        "INSERT INTO reviews(sentence_id, round, lens, verdict, issues, suggested_fix, reviewer, created_at) VALUES(?,?,?,?,?,?,?,?)",
        [(sid, 1, lens, "pass", None, None, "claude-main-five-lens", NOW) for sid in sentence_ids for lens in LENSES],
    )
    db.executemany(
        "INSERT INTO lessons(batch_id, category, lesson, guide_change, created_at) VALUES(?,?,?,?,?)",
        [(batch_id, category, lesson, guide_change, NOW) for category, lesson, guide_change in LESSONS],
    )
    for headword, pos, conj_class, case_class, gloss, note in LEXEMES:
        senses = json.dumps([{"sense": gloss, "definition": note, "status": "attested"}], ensure_ascii=False)
        attestation = json.dumps([{"source": LABEL, "ref": "five-lens close", "quote": note}], ensure_ascii=False)
        db.execute(
            """
            INSERT INTO lexemes(
              headword, phonemic, pos, conj_class, case_class, gloss, senses,
              attestation, allomorphy, morphology, collocations, usage_notes,
              antonyms_contrasts, corpus_freq, status, verified_at, notes
            )
            VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)
            ON CONFLICT(headword) DO UPDATE SET
              verified_at=excluded.verified_at,
              status=excluded.status,
              notes=CASE
                WHEN lexemes.notes IS NULL OR lexemes.notes='' THEN excluded.notes
                WHEN instr(lexemes.notes, ?) > 0 THEN lexemes.notes
                ELSE lexemes.notes || '; ' || excluded.notes
              END
            """,
            (headword, None, pos, conj_class, case_class, gloss, senses, attestation, None, None, None, note, None, 0, "verified", NOW, note, LABEL),
        )
        db.execute("INSERT INTO lexeme_log(headword, action, detail, created_at) VALUES(?,?,?,?)", (headword, "batch-229-verify", note, NOW))

    record_event(db, batch_label=LABEL, phase="lint", event_type="under-review-lint-green", actor="claude-main",
                 detail=f"After banking, lint scanned {total_rows} rows and found 0 issues; verified total remained {verified_before} before close.",
                 command="python3 lint_corpus.py",
                 output_excerpt=f"lint: {total_rows} rows scanned, 0 issues flagged; GOAL METRIC: {verified_before} / 20000 verified sentences ({words_before or 0} Kuku words by SQL token estimate)",
                 artifact_path=PROCESS_LOG, created_at=NOW)
    record_event(db, batch_label=LABEL, phase="review", event_type="five-lens-pass", actor="claude-main",
                 detail="Manual five-lens review passed all 50 Rule 187 rows. Morphology checked bare clothing/adornment targets, no target case/compound/possessive/instrument/comitative/plural/productive-reduplication forms, lexical-head restraint for kayamuku/mirrimbal/jilngarr, yinyay/yaluy support only, pronoun A bare, nyaji-ny past, and nyaji-l nonpast. Lexicon checked selected clothing/adornment senses and kept loans, rejected candidates, wearing, making, sewing, tying, covering, sleeping, warming, ownership, possession, dog/back compound, body-part, bird, feather, wax, ceremony, corroboree, mourning, death, tree/bark-source, hair-source, shellfish, beach, collecting, material-source, walking, foot/body-part, target-case, and event traps closed. Syntax checked bare yaluy deictic identification, bare present perception, yinyay-supported present and past perception, and yaluy-supported present perception. Fidelity checked no source-prose use import. Register stayed ordinary reference/perception.",
                 artifact_path=PROCESS_LOG, created_at=NOW)
    record_event(db, batch_label=LABEL, phase="review", event_type="review-detail", actor="claude-main",
                 detail="Final review retained no target locative/dative/ablative/perlative/ergative/instrument/comitative/possessive/privative/excess/plural/productive-reduplication/compound form, no loan token, no clothing-use/material-source/ceremony/mourning/body-part/walking/event claim, and no rejected candidate.",
                 artifact_path=PROCESS_LOG, created_at=NOW)
    record_event(db, batch_label=LABEL, phase="review", event_type="lesson-inventory", actor="claude-main",
                 detail=f"Inserted {len(LESSONS)} Rule 187 lessons covering source checks, field selection, rejected candidates, target senses, morphology, syntax, fidelity, register, and handoff.",
                 artifact_path="batch_scripts/close_229.py", created_at=NOW)
    record_event(db, batch_label=LABEL, phase="review", event_type="lexeme-source-log", actor="claude-main",
                 detail=f"Inserted {len(LEXEMES)} lexeme/source-log rows for Rule 187 targets, support forms, participants, and perception.",
                 artifact_path="batch_scripts/close_229.py", created_at=NOW)
    db.execute("UPDATE batches SET notes=? WHERE id=?", (NOTES, batch_id))
    db.execute("UPDATE sentences SET status='accepted', updated_at=? WHERE batch_id=?", (NOW, batch_id))
    record_event(db, batch_label=LABEL, phase="close", event_type="close-success", actor="claude-main",
                 detail="Closed Batch 229: 50 accepted Rule 187 clothing/adornment reference lexical rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
                 command="python3 batch_scripts/close_229.py", artifact_path="batch_scripts/close_229.py", created_at=NOW)
    db.commit()

    reviews = db.execute("SELECT COUNT(*) FROM reviews WHERE sentence_id IN (SELECT id FROM sentences WHERE batch_id=?)", (batch_id,)).fetchone()[0]
    verified = db.execute("SELECT COUNT(*) FROM sentences WHERE status IN ('accepted','revised')").fetchone()[0]
    under_review_remaining = db.execute("SELECT COUNT(*) FROM sentences WHERE status='under_review'").fetchone()[0]
    lesson_count = db.execute("SELECT COUNT(*) FROM lessons WHERE batch_id=?", (batch_id,)).fetchone()[0]
    lexeme_logs = db.execute("SELECT COUNT(*) FROM lexeme_log WHERE action LIKE 'batch-229%'").fetchone()[0]
    process_events = db.execute("SELECT COUNT(*) FROM process_events WHERE batch_label=?", (LABEL,)).fetchone()[0]
    print(f"closed {LABEL}: 50 accepted rows, {reviews} review passes, {lesson_count} lessons, {lexeme_logs} lexeme/source-log rows, {process_events} process events, under_review={under_review_remaining}, verified corpus={verified}")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())
