#!/usr/bin/env python3
"""Close batch-267 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-267"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-267-low-coverage-non-tree-flora-reference-lexical-expansion-after-rule224-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "LOW-COVERAGE NON-TREE FLORA-REFERENCE LEXICAL EXPANSION AFTER RULE 224 (Rule 225). 50 rows. TARGETS: "
    "bindi broad leaf, dakil-dakil branches, duduy bush, jumbay-jumbay mushroom, kababina fresh water lily, "
    "kalal-kalal mass of vines, karul-karul moss, malari fern, waji-waji stinging vine, and wayul seaweed. "
    "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 non-tree flora-reference labels. "
    "No Rule 224 named-tree reopening, food/edible/root/yam/fruit/nut/seed row, medicine/poison/tobacco/resin/"
    "storm-control row, material/use/manufacture row, place-name row, rain-forest/ecology/habitat row, target case, "
    "number morphology, derivation, productive compounding, productive reduplication, or support inflection was opened."
)

LESSONS = [
    ("process", "Rule 225 selected a bounded non-tree flora-reference field only after checking dictionary semantic domains, corpus counts, and exact duplicate surfaces.", "Rule 225: non-tree flora cadence."),
    ("source", "Patz section 3.1 supports flora nouns as nominal referents; Rule 225 uses bare flora nouns only.", "Rule 225: flora noun source."),
    ("source", "Patz section 3.7 supports yinya, yaluy, and yinyay; Rule 225 keeps all three uninflected.", "Rule 225: demonstrative source."),
    ("process", "Rule 225 reused bare deictic reference frames because they add lexical coverage without importing plant-use, food, medicine, material-source, ecology, or place-name grammar.", "Rule 225: reference wording."),
    ("process", "Rejected or deferred fields included food/edible/root/yam/fruit/nut/seed flora, medicine/poison/tobacco/resin/storm-control flora, material/use/manufacture flora, kakarr homograph risk, and all Rule 224 named-tree targets.", "Rule 225: rejected flora fields."),
    ("lexicon", "Bindi stayed broad-leaf reference only.", "Rule 225: bindi."),
    ("lexicon", "Dakil-dakil stayed branches reference only; no tree-use, cutting, or source event was opened.", "Rule 225: dakil-dakil."),
    ("lexicon", "Duduy stayed bush reference only; weeds/tangled-growth prose did not become ecology or habitat statements.", "Rule 225: duduy."),
    ("lexicon", "Jumbay-jumbay stayed mushroom reference only; lexicalized reduplication did not license productive reduplication.", "Rule 225: jumbay-jumbay."),
    ("lexicon", "Kababina stayed fresh-water-lily reference only; rain-forest flora/fauna prose stayed closed.", "Rule 225: kababina."),
    ("lexicon", "Kalal-kalal stayed mass-of-vines reference only; Harry Dick place-name homographs stayed closed.", "Rule 225: kalal-kalal."),
    ("lexicon", "Karul-karul stayed moss reference only; green-scum colour/property and productive reduplication stayed closed.", "Rule 225: karul-karul."),
    ("lexicon", "Malari stayed fern reference only.", "Rule 225: malari."),
    ("lexicon", "Waji-waji stayed stinging-vine lexical label only; no sting, pain, danger, or event predicate was opened.", "Rule 225: waji-waji."),
    ("lexicon", "Wayul stayed seaweed reference only; no sea-grass feeding, habitat, water, or dugong ecology was imported.", "Rule 225: wayul."),
    ("morphology", "All target flora nouns stayed bare: no target case, possession, comitative, instrumental, locative, number, derivation, suffixing, plural, or productive compounding.", "Rule 225: bare nouns."),
    ("morphology", "Lexicalized full reduplications jumbay-jumbay, kalal-kalal, karul-karul, and waji-waji were treated as dictionary headwords, not as permission for productive reduplication.", "Rule 225: lexicalized reduplication."),
    ("morphology", "Yinya, yaluy, and yinyay stayed uninflected support forms only.", "Rule 225: support morphology."),
    ("syntax", "Rows 1-10 used TARGET yaluy.", "Rule 225: TARGET here frame."),
    ("syntax", "Rows 11-20 used TARGET yinyay.", "Rule 225: TARGET there frame."),
    ("syntax", "Rows 21-30 used Yinya TARGET yinyay.", "Rule 225: demonstrative TARGET there frame."),
    ("syntax", "Rows 31-40 used TARGET yinya yinyay.", "Rule 225: TARGET demonstrative there frame."),
    ("syntax", "Rows 41-50 used Yinya TARGET yaluy.", "Rule 225: demonstrative TARGET here frame."),
    ("fidelity", "English stayed literal reference prose: target non-tree flora label plus here/there/that or those support.", "Rule 225: literal English."),
    ("fidelity", "The batch did not turn source definitions into food, edible, medicine, poison, tobacco, material-source, manufacture, rain-forest, ecology, habitat, weather, place-name, or ownership claims.", "Rule 225: source-prose restraint."),
    ("register", "Rows remained plain elicitation-style reference statements, not gathering, cooking, medicine, weaving, making, plant-use, habitat, place-name, or weather-event reports.", "Rule 225: 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 225 as complete.", "Rule 225: evidence standard."),
    ("handoff", "Next batch may continue from 13,447 if this closes; do not infer plant-use, food, medicine, material-source, ecology, place-name, target morphology, or support-inflection grammar from Rule 225.", "Rule 225: next cadence."),
]

LEXEMES = [
    ("bindi", "noun", None, "NA", "broad leaf", "batch-267: broad-leaf reference only."),
    ("dakil-dakil", "noun", None, "NA", "branches", "batch-267: branches reference only; no tree-use/source event."),
    ("duduy", "noun", None, "NA", "bush", "batch-267: bush reference only; weeds/tangled-growth prose closed."),
    ("jumbay-jumbay", "noun", None, "NA", "mushroom", "batch-267: mushroom reference only; lexicalized reduplication."),
    ("kababina", "noun", None, "NA", "fresh water lily", "batch-267: fresh-water-lily reference only; rain-forest prose closed."),
    ("kalal-kalal", "noun", None, "NA", "mass of vines", "batch-267: mass-of-vines reference only; place-name homographs closed."),
    ("karul-karul", "noun", None, "NA", "moss", "batch-267: moss reference only; green-scum/property prose closed."),
    ("malari", "noun", None, "NA", "fern", "batch-267: fern reference only."),
    ("waji-waji", "noun", None, "NA", "stinging vine", "batch-267: stinging-vine lexical label only; no sting/event predicate."),
    ("wayul", "noun", None, "NA", "seaweed", "batch-267: seaweed reference only; no habitat/ecology event."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-267: local demonstrative support only."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-267: local demonstrative support only."),
    ("yinya", "demonstrative", None, "NA", "that; those", "batch-267: 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-267-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 225 rows. Morphology checked bare non-tree flora nouns and uninflected yinya/yaluy/yinyay support. Lexicon checked selected flora-reference labels 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 Rule 224 named-tree reopening, food/edible/root/yam/fruit/nut/seed row, medicine/poison/tobacco/resin/storm-control row, material/use/manufacture row, place-name row, rain-forest/ecology/habitat row, target case, number morphology, derivation, productive compounding, productive reduplication, support inflection, or recent fauna-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 225 lessons covering source checks, field rejection, target senses, morphology, syntax, fidelity, register, and handoff.",
        artifact_path="batch_scripts/close_267.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 225 targets and support heads.",
        artifact_path="batch_scripts/close_267.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 267: 50 accepted Rule 225 low-coverage non-tree flora-reference rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
        command="python3 batch_scripts/close_267.py",
        artifact_path="batch_scripts/close_267.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}->{words_after}"
    )
    return 0


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