#!/usr/bin/env python3
"""Close batch-215 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-215"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-215-bird-reference-lexical-expansion-after-rule172-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "BIRD REFERENCE LEXICAL EXPANSION AFTER RULE 172 (Rule 173). 50 rows. TARGETS: barbarr young cassowary, "
    "bayil-bayil mudlark, biluwarra spoon bill bird, binjul-binjul scarlet robin, dijarr-dijin willie wagtail, "
    "kurburrubun magpie, kurkumbay butcherbird, kurungka bronze wing pigeon, munwingkul dove, and yindili forest "
    "kingfisher. 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; rejected bird candidates and older bird rows did not license flying, "
    "singing, calling, dancing, warning, totem/moiety, sacred-bird, story-site, nest, egg, feather, food, eating, "
    "hunting, catching, storm, place, wood, secondary-sense, target case, target compound, possession, or event semantics."
)

LESSONS = [
    ("process", "A lexical pass after Rule 172 selected unused bird reference nouns with exact dictionary readback.", "Rule 173: lexical cadence after Rule 172."),
    ("process", "Rule 173 selected ten unused bird heads rather than recycling older bird rows with motion, totem, story, food, or event predicates.", "Rule 173: unused target discipline."),
    ("process", "Exact duplicate preflight found 50 planned rows, 50 unique surfaces, and no cross-corpus duplicates before banking.", "Rule 173: duplicate preflight."),
    ("process", "`bujarr-bujarr`, `dukunjuju`, `kujuway`, and `yiki` were reviewed but not selected because of duplicate-entry, typo, or sense-selection complications.", "Rule 173: reviewed non-selection."),
    ("process", "Totem, warning, story-site, sacred-bird, food, movement, song, dance, nest, egg, feather, and place prose stayed closed.", "Rule 173: bird-use exclusion."),
    ("lexicon", "`barbarr` is young cassowary only; no kin homograph, age-event, hunting, food, or cassowary-behavior row.", "Rule 173: barbarr."),
    ("lexicon", "`bayil-bayil` is mudlark only; no mud, call, nest, or movement row.", "Rule 173: bayil-bayil."),
    ("lexicon", "`biluwarra` is spoon bill bird only; no bill/body-part, water, feeding, or movement row.", "Rule 173: biluwarra."),
    ("lexicon", "`binjul-binjul` is scarlet robin only; duplicate dictionary entries agree; no colour predicate or song row.", "Rule 173: binjul-binjul."),
    ("lexicon", "`dijarr-dijin` is willie wagtail only; no tail/body-part, movement, call, or omen row.", "Rule 173: dijarr-dijin."),
    ("lexicon", "`kurburrubun` is magpie only; no song, calling, flock, or story row.", "Rule 173: kurburrubun."),
    ("lexicon", "`kurkumbay` is butcherbird only; no butchering, meat, song, or call row.", "Rule 173: kurkumbay."),
    ("lexicon", "`kurungka` is bronze wing pigeon only; common-name wing is not licensed as body-part syntax.", "Rule 173: kurungka."),
    ("lexicon", "`munwingkul` is dove only; duplicate dictionary entries agree; no ground-pigeon habitat or flock row.", "Rule 173: munwingkul."),
    ("lexicon", "`yindili` is forest kingfisher only; duplicate dictionary entries agree; no forest-place, fishing, or motion row.", "Rule 173: yindili."),
    ("morphology", "All target heads stayed bare; no target LOC, DAT, ABL, PERL, ERG, INST, COMIT, POSS, PRIV, EXCESS, reduplicated, or compound morphology was produced.", "Rule 173: target case restraint."),
    ("morphology", "Reduplicated and partial-reduplicated lexical heads `bayil-bayil`, `binjul-binjul`, and `dijarr-dijin` were treated as whole dictionary heads.", "Rule 173: reduplicated lexical heads."),
    ("morphology", "Pronoun A forms `ngayu`, `yundu`, `jana`, and `ngana` stayed bare.", "Rule 173: pronoun A marking."),
    ("morphology", "`nyajin` remained nyaji-ny past and `nyajil` remained nyaji-l nonpast.", "Rule 173: perception tense forms."),
    ("syntax", "Rows 1-10 used one bird target plus `yaluy` with no predicator.", "Rule 173: yaluy deictic syntax."),
    ("syntax", "Rows 11-20 used bare 1sg A plus one bare bird object and `nyajil`.", "Rule 173: bare present perception."),
    ("syntax", "Rows 21-30 used bare 2sg A, one bare bird object, `yinyay`, and `nyajil`.", "Rule 173: yundu yinyay perception."),
    ("syntax", "Rows 31-40 used bare 3pl A, one bare bird object, `yinyay`, and past `nyajin`.", "Rule 173: jana yinyay past perception."),
    ("syntax", "Rows 41-50 used inclusive `ngana`, one bare bird object, `yaluy`, and `nyajil`.", "Rule 173: ngana yaluy perception."),
    ("handoff", "Next cadence can consolidate the Rule 173 bird set, but flying, singing, calling, dancing, warning, totem/moiety, sacred-bird, story-site, nest, egg, feather, food, eating, hunting, catching, storm, place, wood, secondary-sense, and target-case semantics remain closed unless deliberately sourced.", "Rule 173: next cadence."),
]

LEXEMES = [
    ("barbarr", "noun", None, "NA", "young cassowary", "batch-215: selected young cassowary only; no kin homograph, age-event, hunting, food, or cassowary-behavior row."),
    ("bayil-bayil", "noun", None, "NA", "mudlark", "batch-215: selected mudlark only; no mud, call, nest, or movement row."),
    ("biluwarra", "noun", None, "NA", "spoon bill bird", "batch-215: selected spoon bill bird only; no bill/body-part, water, feeding, or movement row."),
    ("binjul-binjul", "noun", None, "NA", "scarlet robin", "batch-215: selected scarlet robin only; duplicate dictionary entries agree; no colour predicate or song row."),
    ("dijarr-dijin", "noun", None, "NA", "willie wagtail", "batch-215: selected willie wagtail only; no tail/body-part, movement, call, or omen row."),
    ("kurburrubun", "noun", None, "NA", "magpie", "batch-215: selected magpie only; no song, calling, flock, or story row."),
    ("kurkumbay", "noun", None, "NA", "butcherbird", "batch-215: selected butcherbird only; no butchering, meat, song, or call row."),
    ("kurungka", "noun", None, "NA", "bronze wing pigeon", "batch-215: selected bronze wing pigeon only; common-name wing is not licensed as body-part syntax."),
    ("munwingkul", "noun", None, "NA", "dove", "batch-215: selected dove only; duplicate dictionary entries agree; no ground-pigeon habitat or flock row."),
    ("yindili", "noun", None, "NA", "forest kingfisher", "batch-215: selected forest kingfisher only; duplicate dictionary entries agree; no forest-place, fishing, or motion row."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-215: retained local demonstrative in deictic and supported perception rows."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-215: retained local demonstrative in supported perception rows."),
    ("nyaji-l", "verb", "l", "NA", "see; hear; perceive", "batch-215: retained past and nonpast perception rows with bird objects."),
    ("ngayu", "pronoun", None, "NA", "I; 1sg nominative", "batch-215: bare pronoun A in present perception rows."),
    ("yundu", "pronoun", None, "NA", "you; 2sg nominative", "batch-215: bare pronoun A in yinyay-supported present perception rows."),
    ("jana", "pronoun", None, "NA", "they; 3pl nominative", "batch-215: bare pronoun A in yinyay-supported past perception rows."),
    ("ngana", "pronoun", None, "NA", "we; 1pl inclusive", "batch-215: 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-215-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 173 rows. Morphology checked bare bird targets, no target case/compound/possessive/instrument/comitative forms, yinyay/yaluy support only, pronoun A bare, nyaji-ny past, and nyaji-l nonpast. Lexicon checked selected bird senses and kept rejected candidate, flying, singing, calling, dancing, warning, totem/moiety, sacred-bird, story-site, nest, egg, feather, food, eating, hunting, catching, storm, place, wood, secondary-sense, and target-case 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/reduplicated/compound form, no flying/singing/calling/dancing/warning/totem/sacred/story/nest/egg/feather/food/eating/hunting/catching/storm/place/wood/secondary-sense claim, and no rejected bird target.",
                 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 173 lessons covering source checks, rejected candidates, target senses, morphology, syntax, fidelity, register, and handoff.",
                 artifact_path="batch_scripts/close_215.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 173 targets, support forms, participants, and perception.",
                 artifact_path="batch_scripts/close_215.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 215: 50 accepted Rule 173 bird reference lexical rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
                 command="python3 batch_scripts/close_215.py", artifact_path="batch_scripts/close_215.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 detail LIKE '%batch-215:%'").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())
