#!/usr/bin/env python3
"""Close batch-265 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-265"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-265-second-shellfish-crustacean-reference-lexical-expansion-after-rule222-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "SECOND SHELLFISH/CRUSTACEAN-REFERENCE LEXICAL EXPANSION AFTER RULE 222 (Rule 223). 50 rows. TARGETS: "
    "kiju mudcrab, dakaldakal trocus shell, kajarrbi clam shell, kunkun periwinkle, kurrija octopus, "
    "ngajay crayfish, nikar oyster, wakal prawn, wuli-wuli soldier crab, and wurrul shellfish. 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 shellfish/crustacean-reference labels. No Rule 213 "
    "exact target duplicate, edible/fry/bait/cooking-heavy row, fish/ray drift, habitat/place/source-prose row, "
    "homograph/plant/weapon/stingray-barb/body-part row, use/event/source-prose row, target case, number morphology, "
    "derivation, productive compounding, productive reduplication, support inflection, insect-reference drift, "
    "bird-reference drift, reptile/amphibian-reference drift, mammal-reference drift, or fish-reference drift was opened."
)

LESSONS = [
    ("process", "Rule 223 continued lexical coverage only after checking earlier Rule 213 shellfish/crustacean targets for exact surface collisions.", "Rule 223: second shellfish lexical cadence."),
    ("source", "Patz section 3.1 says nouns include fauna; Rule 223 uses bare shellfish/crustacean nouns only.", "Rule 223: shellfish noun source."),
    ("source", "Patz section 3.7 supports yinya, yaluy, and yinyay; Rule 223 keeps all three uninflected.", "Rule 223: demonstrative source."),
    ("process", "Rule 223 reused bare deictic reference frames because they add lexical coverage without importing food, fishing, collecting, habitat, body-part, or use grammar.", "Rule 223: reference wording."),
    ("process", "Rejected or deferred fields included prior Rule 213 targets, lint-failing jirrum, edible/fry/bait/cooking-heavy entries, fish/ray drift, habitat/source-prose entries, homographs, and use/event semantics.", "Rule 223: rejected shellfish fields."),
    ("lexicon", "Kiju stayed mudcrab reference only after duplicate and phonotactic-guard checks.", "Rule 223: kiju."),
    ("lexicon", "Dakaldakal stayed trocus-shell reference only; lexicalized solid reduplicated headword did not open productive reduplication.", "Rule 223: dakaldakal."),
    ("lexicon", "Kajarrbi stayed clam-shell reference only; giant-clam and shell/body-part expansion stayed closed.", "Rule 223: kajarrbi."),
    ("lexicon", "Kunkun stayed periwinkle reference only; smooth-shell prose and productive reduplication stayed closed.", "Rule 223: kunkun."),
    ("lexicon", "Kurrija stayed octopus reference only.", "Rule 223: kurrija."),
    ("lexicon", "Ngajay stayed crayfish reference only; not-eaten source note did not open food prose.", "Rule 223: ngajay."),
    ("lexicon", "Nikar stayed oyster reference only; shallow-water and rock habitat prose stayed closed.", "Rule 223: nikar."),
    ("lexicon", "Wakal stayed prawn reference only; lobster variant stayed closed.", "Rule 223: wakal."),
    ("lexicon", "Wuli-wuli stayed soldier-crab reference only; lexicalized hyphenated headword did not open productive reduplication.", "Rule 223: wuli-wuli."),
    ("lexicon", "Wurrul stayed shellfish reference only.", "Rule 223: wurrul."),
    ("morphology", "All target shellfish/crustacean nouns stayed bare: no target case, possession, comitative, instrumental, locative, number, derivation, suffixing, plural, or reduplication.", "Rule 223: bare nouns."),
    ("morphology", "English modifiers inside labels, such as small, trocus, clam, and soldier, remained lexical labels rather than Kuku morphology or separate predicates.", "Rule 223: label morphology guard."),
    ("morphology", "Yinya, yaluy, and yinyay stayed uninflected support forms only.", "Rule 223: support morphology."),
    ("syntax", "Rows 1-10 used TARGET yaluy.", "Rule 223: TARGET here frame."),
    ("syntax", "Rows 11-20 used TARGET yinyay.", "Rule 223: TARGET there frame."),
    ("syntax", "Rows 21-30 used Yinya TARGET yinyay.", "Rule 223: demonstrative TARGET there frame."),
    ("syntax", "Rows 31-40 used TARGET yinya yinyay.", "Rule 223: TARGET demonstrative there frame."),
    ("syntax", "Rows 41-50 used Yinya TARGET yaluy.", "Rule 223: demonstrative TARGET here frame."),
    ("fidelity", "English stayed literal reference prose: target shellfish/crustacean label plus here/there/that support.", "Rule 223: literal English."),
    ("fidelity", "The batch did not turn source definitions into edible, bait, cooking, collecting, fishing, habitat, sting, burn, body-part, or use claims.", "Rule 223: source-prose restraint."),
    ("register", "Rows remained plain elicitation-style reference statements, not food statements, fishing reports, collection reports, habitat descriptions, preparation instructions, or use claims.", "Rule 223: 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 223 as complete.", "Rule 223: evidence standard."),
    ("handoff", "Next batch may continue from 13,347 if this closes; do not infer shellfish/crustacean food, use, habitat, body-part, homograph, or event grammar from Rule 223.", "Rule 223: next cadence."),
]

LEXEMES = [
    ("kiju", "noun", None, "NA", "mudcrab", "batch-265: mudcrab reference only; promoted from the candidate field only after jirrum failed whole-corpus lint and kiju passed duplicate/source checks."),
    ("dakaldakal", "noun", None, "NA", "trocus shell", "batch-265: trocus-shell reference only; lexicalized solid reduplication, no productive reduplication."),
    ("kajarrbi", "noun", None, "NA", "clam shell", "batch-265: clam-shell reference only; giant-clam and shell/body-part expansion closed."),
    ("kunkun", "noun", None, "NA", "periwinkle", "batch-265: periwinkle reference only; smooth-shell prose and productive reduplication closed."),
    ("kurrija", "noun", None, "NA", "octopus", "batch-265: octopus reference only."),
    ("ngajay", "noun", None, "NA", "crayfish", "batch-265: crayfish reference only; not-eaten note did not open food prose."),
    ("nikar", "noun", None, "NA", "oyster", "batch-265: oyster reference only; shallow-water/rock habitat prose closed."),
    ("wakal", "noun", None, "NA", "prawn", "batch-265: prawn reference only; lobster variant closed."),
    ("wuli-wuli", "noun", None, "NA", "soldier crab", "batch-265: soldier-crab reference only; lexicalized hyphenated headword, no productive reduplication."),
    ("wurrul", "noun", None, "NA", "shellfish", "batch-265: shellfish reference only."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-265: local demonstrative support only."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-265: local demonstrative support only."),
    ("yinya", "demonstrative", None, "NA", "that; those", "batch-265: 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-265-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 223 rows. Morphology checked bare shellfish/crustacean nouns and uninflected yinya/yaluy/yinyay support. Lexicon checked selected shellfish/crustacean-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 213 exact target duplicate, edible/fry/bait/cooking-heavy row, fish/ray drift, habitat/place/source-prose row, homograph/plant/weapon/stingray-barb/body-part row, use/event/source-prose row, target case, number morphology, derivation, productive compounding, productive reduplication, support inflection, insect-reference drift, bird-reference drift, reptile/amphibian-reference drift, mammal-reference drift, or fish-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 223 lessons covering source checks, field rejection, target senses, morphology, syntax, fidelity, register, and handoff.",
        artifact_path="batch_scripts/close_265.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 223 targets and support heads.",
        artifact_path="batch_scripts/close_265.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 265: 50 accepted Rule 223 second shellfish/crustacean-reference rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
        command="python3 batch_scripts/close_265.py",
        artifact_path="batch_scripts/close_265.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())
