#!/usr/bin/env python3
"""Close batch-259 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-259"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-259-low-frequency-body-part-reference-lexical-expansion-after-rule216-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "LOW-FREQUENCY BODY-PART REFERENCE LEXICAL EXPANSION AFTER RULE 216 (Rule 217). 50 rows. TARGETS: "
    "barrkar upper jaw, baru lap, jaljan pharynx, jamalka shoulder blade, jinbar wrist, kabari armpit, kuburrubun "
    "crown of head, makal calf muscles, mirrimar rib, and mudu lower back. SUPPORT: uninflected yinya/yaluy/yinyay. "
    "FRAMES: TARGET yaluy, TARGET yinyay, Yinya TARGET yinyay, TARGET yinya yinyay, and Yinya TARGET yaluy. REVIEW: "
    "all target nouns stayed bare reference labels. No possession, possessor pronouns, body-state predicates, pain, "
    "illness, medicine, healing, butchery, body-fluid, taboo, scar/initiation, animal-only, dialect-only, target case, "
    "number morphology, derivation, productive compound, productive reduplication, support inflection, or Rule 216 "
    "food-reference drift was opened."
)

LESSONS = [
    ("process", "Rule 217 selected low-frequency body-part reference only after a fresh source pass and kept all possession/body-state semantics closed.", "Rule 217: body-reference cadence."),
    ("source", "Patz section 3.1 says nouns refer to corporeal objects including body parts; Rule 217 uses only bare noun reference.", "Rule 217: body-part noun source."),
    ("source", "Patz section 3.7 supports yinya 'that/those', yaluy 'here', and yinyay 'there'; Rule 217 keeps all three uninflected.", "Rule 217: demonstrative source."),
    ("process", "Recent reference-batch wording from Rules 212-216 was reused for the five deictic frame bands.", "Rule 217: reference wording."),
    ("process", "Taboo, loan, dialect-only, animal-only, body-fluid, scar/initiation, medical, possession-heavy, and polysemy-heavy body-part entries were rejected or held.", "Rule 217: rejected body fields."),
    ("lexicon", "Barrkar stayed upper-jaw reference only; jaw action, pain, eating, and possession readings stayed closed.", "Rule 217: barrkar."),
    ("lexicon", "Baru stayed lap reference only; carrying, holding, sitting, and possession readings stayed closed.", "Rule 217: baru."),
    ("lexicon", "Jaljan stayed pharynx reference only; illness, speech, swallowing, and anatomical-event readings stayed closed.", "Rule 217: jaljan."),
    ("lexicon", "Jamalka stayed shoulder-blade reference only; shoulder/arm movement and pain readings stayed closed.", "Rule 217: jamalka."),
    ("lexicon", "Jinbar stayed wrist reference only; hand/action, injury, and possession readings stayed closed.", "Rule 217: jinbar."),
    ("lexicon", "Kabari stayed armpit reference only; body-fluid, smell, holding, and possession readings stayed closed.", "Rule 217: kabari."),
    ("lexicon", "Kuburrubun stayed crown-of-head reference only; head, hair, injury, and boss/head polysemy stayed closed.", "Rule 217: kuburrubun."),
    ("lexicon", "Makal stayed calf-muscles reference only; leg motion, pain, and number morphology stayed closed.", "Rule 217: makal."),
    ("lexicon", "Mirrimar stayed rib reference only; butchery, injury, side, and possession readings stayed closed.", "Rule 217: mirrimar."),
    ("lexicon", "Mudu stayed lower-back reference only; back pain, load-carrying, and possession readings stayed closed.", "Rule 217: mudu."),
    ("morphology", "All target body-part nouns stayed bare: no target case, possession, comitative, instrumental, locative, number, derivation, or suffixing.", "Rule 217: bare nouns."),
    ("morphology", "No productive compounds or productive reduplication were admitted.", "Rule 217: compound/reduplication guard."),
    ("morphology", "Yinya, yaluy, and yinyay stayed uninflected support forms only.", "Rule 217: support morphology."),
    ("syntax", "Rows 1-10 used TARGET yaluy.", "Rule 217: TARGET here frame."),
    ("syntax", "Rows 11-20 used TARGET yinyay.", "Rule 217: TARGET there frame."),
    ("syntax", "Rows 21-30 used Yinya TARGET yinyay.", "Rule 217: demonstrative TARGET there frame."),
    ("syntax", "Rows 31-40 used TARGET yinya yinyay.", "Rule 217: TARGET demonstrative there frame."),
    ("syntax", "Rows 41-50 used Yinya TARGET yaluy.", "Rule 217: demonstrative TARGET here frame."),
    ("fidelity", "English stayed literal reference prose: target noun plus here/there/that support.", "Rule 217: literal English."),
    ("fidelity", "Plural English was used only for makal calf muscles, where the dictionary target is plural.", "Rule 217: plural fidelity."),
    ("register", "Rows remained plain elicitation-style reference statements, not medical claims, possession statements, injury reports, or body-use narratives.", "Rule 217: register."),
    ("process", "Duplicate preflight, static guards, whole-corpus lint, five-lens review, lessons, lexeme logs, export, and live docs are required evidence before treating Rule 217 as complete.", "Rule 217: evidence standard."),
    ("handoff", "Next batch may continue from 13,047 if this closes; do not infer possession, body-state, medicine, injury, body-use, or morphology from Rule 217.", "Rule 217: next cadence."),
]

LEXEMES = [
    ("barrkar", "noun", None, "NA", "upper jaw", "batch-259: upper-jaw reference only; action/pain/eating/possession closed."),
    ("baru", "noun", None, "NA", "lap", "batch-259: lap reference only; carrying/holding/sitting/possession closed."),
    ("jaljan", "noun", None, "NA", "pharynx", "batch-259: pharynx reference only; illness/speech/swallowing event readings closed."),
    ("jamalka", "noun", None, "NA", "shoulder blade", "batch-259: shoulder-blade reference only; movement/pain/possession closed."),
    ("jinbar", "noun", None, "NA", "wrist", "batch-259: wrist reference only; hand/action/injury/possession closed."),
    ("kabari", "noun", None, "NA", "armpit", "batch-259: armpit reference only; body-fluid/smell/holding/possession closed."),
    ("kuburrubun", "noun", None, "NA", "crown of head", "batch-259: crown-of-head reference only; head/hair/injury/polysemy closed."),
    ("makal", "noun", None, "NA", "calf muscles", "batch-259: calf-muscles reference only; leg motion/pain/number morphology closed."),
    ("mirrimar", "noun", None, "NA", "rib", "batch-259: rib reference only; butchery/injury/side/possession closed."),
    ("mudu", "noun", None, "NA", "lower back", "batch-259: lower-back reference only; back pain/load-carrying/possession closed."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-259: local demonstrative support only."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-259: local demonstrative support only."),
    ("yinya", "demonstrative", None, "NA", "that; those", "batch-259: distal demonstrative support only; no inflection."),
]


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-259-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)",
        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 217 rows. Morphology checked bare body-part nouns and uninflected yinya/yaluy/yinyay support. Lexicon checked selected body-part reference senses only. Syntax checked five deictic reference frames. Fidelity checked literal reference English. Register stayed plain reference statement.",
        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 possession, possessor pronouns, body-state predicates, pain, illness, medicine, healing, butchery, body-fluid, taboo, scar/initiation, animal-only, dialect-only, target case, number morphology, derivation, productive compound, productive reduplication, support inflection, or Rule 216 food-reference drift.",
        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 217 lessons covering source checks, field rejection, target senses, morphology, syntax, fidelity, register, and handoff.",
        artifact_path="batch_scripts/close_259.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 217 targets and support heads.",
        artifact_path="batch_scripts/close_259.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 259: 50 accepted Rule 217 low-frequency body-part reference rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
        command="python3 batch_scripts/close_259.py",
        artifact_path="batch_scripts/close_259.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_after, words_after = db.execute(
        """
        SELECT
          COUNT(*),
          SUM(LENGTH(kuku)-LENGTH(REPLACE(kuku,' ',''))+1)
        FROM sentences
        WHERE status IN ('accepted','revised')
        """
    ).fetchone()
    print(
        f"closed {LABEL}: accepted=50, reviews={reviews}, verified {verified_before}->{verified_after}, "
        f"kuku_words {words_before or 0}->{words_after or 0}"
    )
    return 0


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