#!/usr/bin/env python3
"""Close batch-249 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-249"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-249-low-coverage-object-reference-lexical-expansion-after-rule206-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "LOW-COVERAGE OBJECT REFERENCE LEXICAL EXPANSION AFTER RULE 206 (Rule 207). 50 rows. TARGETS: jidi torch, "
    "jundi pumice stone, dikarra war spear, yirrmba many-pronged fish spear, balur spear thrower, kimil stick, "
    "binan rudder, wuju sponge, jungkalu billycan, and kaban paper. FRAMES: TARGET yaluy, TARGET yinyay, "
    "Yinya TARGET yinyay, TARGET yinya yinyay, and Yinya TARGET yaluy. REVIEW: all target nouns stayed bare "
    "absolutive reference heads; yinya/yaluy/yinyay stayed uninflected support only; English stayed literal "
    "here/there/that reference prose. No target case, possession, comitative, instrumental, locative, derivation, "
    "number, compound, source, manufacture, material, use, action, fishing, spearing, throwing, steering, rubbing, "
    "scraping, cooking, water, eating, reading, writing, ceremony, death, illness, magic, homograph, loan, or "
    "post-contact-use drift was opened."
)

LESSONS = [
    ("process", "Rule 207 returned to lexical expansion after Rule 206 instead of extending negation.", "Rule 207: lexical cadence."),
    ("source", "Patz §3.7 supports yinya 'that/those', yaluy 'here', and yinyay 'there'.", "Rule 207: demonstrative source."),
    ("source", "Patz §3.7 permits yinya before or after a noun, as in yinya karrkay/karrkay yinya.", "Rule 207: yinya position."),
    ("source", "Bare local demonstratives were used without inflected locative, ablative, abessive, perlative, possessive, or comitative forms.", "Rule 207: uninflected support."),
    ("process", "Yulal and durray were rejected because exact deictic rows already existed.", "Rule 207: duplicate rejection."),
    ("process", "Bikirr and wukurr were rejected because no exact source-backed dictionary headword was found.", "Rule 207: phantom rejection."),
    ("lexicon", "Jidi stayed torch only; no paperbark, bark-source, lighting, or use row was opened.", "Rule 207: jidi."),
    ("lexicon", "Jundi stayed pumice stone only; no rubbing, scraping, or abrasive-use row was opened.", "Rule 207: jundi."),
    ("lexicon", "Dikarra stayed war spear only; stingray barb, fighting, sickness, magic, and dikarr homograph fields stayed closed.", "Rule 207: dikarra."),
    ("lexicon", "Yirrmba stayed many-pronged fish spear only; no fishing, spearing, catching, water, or food row was opened.", "Rule 207: yirrmba."),
    ("lexicon", "Balur stayed spear thrower only; no throwing, weapon-use, or empty duplicate-entry drift was opened.", "Rule 207: balur."),
    ("lexicon", "Kimil stayed stick only; sapling, post, walking stick, horn, killing, and impact examples stayed closed.", "Rule 207: kimil."),
    ("lexicon", "Binan stayed rudder only; no steering, boat-motion, or use row was opened.", "Rule 207: binan."),
    ("lexicon", "Wuju stayed sponge only; no grass-source, honey, soup, eating, or use row was opened.", "Rule 207: wuju."),
    ("lexicon", "Jungkalu stayed billycan only; no cooking, water, carrying, or container-use row was opened.", "Rule 207: jungkalu."),
    ("lexicon", "Kaban stayed paper only; the book sense, reading, writing, and use prose stayed closed.", "Rule 207: kaban."),
    ("morphology", "All target nouns stayed bare: no case, possession, comitative, instrumental, locative, plural, derivation, compound, or reduplication.", "Rule 207: bare nouns."),
    ("morphology", "Yinya, yaluy, and yinyay stayed uninflected; no yinyamba, yinyaymba, yinyamuny, yinyanji, yaluymuny, or yalamundu forms were opened.", "Rule 207: support morphology."),
    ("syntax", "Rows 1-10 used TARGET yaluy.", "Rule 207: here frame."),
    ("syntax", "Rows 11-20 used TARGET yinyay.", "Rule 207: there frame."),
    ("syntax", "Rows 21-30 used Yinya TARGET yinyay.", "Rule 207: initial demonstrative there frame."),
    ("syntax", "Rows 31-40 used TARGET yinya yinyay.", "Rule 207: postposed demonstrative there frame."),
    ("syntax", "Rows 41-50 used Yinya TARGET yaluy.", "Rule 207: initial demonstrative here frame."),
    ("fidelity", "English stayed literal: the selected object label plus here/there/that support only.", "Rule 207: literal English."),
    ("fidelity", "No English source, manufacture, material, use, ownership, reading, writing, cooking, eating, water, fishing, hunting, or motion semantics were imported.", "Rule 207: denied English fields."),
    ("register", "Rows remained plain reference/location sentences, not narratives, procedures, object-use instructions, fishing/hunting events, repairs, travel, ownership, or ceremonial descriptions.", "Rule 207: register."),
    ("handoff", "Next batch should continue from 12,547 if this batch closes; do not infer object-use, source, action, or target morphology from Rule 207.", "Rule 207: next cadence."),
]

LEXEMES = [
    ("jidi", "noun", None, "NA", "torch", "batch-249: torch noun only; paperbark/bark-source/lighting/use closed."),
    ("jundi", "noun", None, "NA", "pumice stone", "batch-249: pumice stone noun only; rubbing/scraping/use closed."),
    ("dikarra", "noun", None, "NA", "war spear", "batch-249: war spear noun only; stingray barb, fighting, sickness/magic homograph closed."),
    ("yirrmba", "noun", None, "NA", "many-pronged fish spear", "batch-249: many-pronged fish spear noun only; fishing/spearing/catching closed."),
    ("balur", "noun", None, "NA", "spear thrower", "batch-249: spear thrower noun only; throwing/use and empty duplicate-entry drift closed."),
    ("kimil", "noun", None, "NA", "stick", "batch-249: stick noun only; sapling/post/walking-stick/horn and impact/use readings closed."),
    ("binan", "noun", None, "NA", "rudder", "batch-249: rudder noun only; steering/boat-motion/use closed."),
    ("wuju", "noun", None, "NA", "sponge", "batch-249: sponge noun only; grass-source/honey/soup/eating/use closed."),
    ("jungkalu", "noun", None, "NA", "billycan", "batch-249: billycan noun only; cooking/water/carrying/container-use closed."),
    ("kaban", "noun", None, "NA", "paper", "batch-249: selected paper noun only; book/reading/writing/use closed."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-249: local demonstrative support only."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-249: local demonstrative support only."),
    ("yinya", "demonstrative", None, "NA", "that; those", "batch-249: distal demonstrative support only, before or after noun; 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-249-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 207 rows. Morphology checked bare targets and uninflected yinya/yaluy/yinyay. Lexicon checked selected object labels only. Syntax checked five deictic/reference frames. Fidelity checked literal here/there/that English. Register stayed plain reference/location.",
        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 case, possession, comitative, instrumental, locative, plural, derivation, compound, productive reduplication, source/manufacture/material, use/action/event, fishing/spearing/throwing/steering/rubbing/scraping/cooking/water/eating/reading/writing, ceremony/death/illness/magic, loan drift, post-contact-use drift, yala/yanyu, or support inflection.",
        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 207 lessons covering source checks, candidate rejection, target senses, morphology, syntax, fidelity, register, and handoff.",
        artifact_path="batch_scripts/close_249.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 207 targets and demonstrative heads.",
        artifact_path="batch_scripts/close_249.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 249: 50 accepted Rule 207 low-coverage object reference lexical-expansion rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
        command="python3 batch_scripts/close_249.py",
        artifact_path="batch_scripts/close_249.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())
