#!/usr/bin/env python3
"""Close batch-209 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-209"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-209-flora-reference-lexical-expansion-after-rule166-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "FLORA REFERENCE LEXICAL EXPANSION AFTER RULE 166 (Rule 167). 50 rows. TARGETS: jina-jina water gum tree, "
    "jarrangkal fig tree, julbin scrub tree, kunjarri palm, kurruy plum tree, malurri fern tree, mawar vine, "
    "maya vine, wangay vine, and yawarr palm. 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; dakumbar, dukal, jinjay, jalnji, "
    "and ngakun were reviewed but not selected; no food, fruit, edible-use, medicine, bark-use, container-making, "
    "spear-making, timber/wood/woomera/material-source, weaving, tying, string/braces, cutting, burning, place-name, "
    "target case, target compound, possession, or ecological-event semantics."
)

LESSONS = [
    ("process", "A lexical pass after construction consolidation can add a new flora-reference set when each target remains a bare noun.", "Rule 167: lexical cadence after Rule 166."),
    ("process", "`dakumbar`, `dukal`, `jinjay`, `jalnji`, and `ngakun` were reviewed but not selected because their source prose adds dialect, fruit/food, poison/nut/gum/spear, or seasonal-signal complications.", "Rule 167: exclusion discipline."),
    ("process", "Exact duplicate preflight found 50 planned rows, 50 unique surfaces, and no cross-corpus duplicates before banking.", "Rule 167: duplicate preflight."),
    ("process", "Boundary-aware corpus readback separated true target rows from false hits such as `maya` inside unrelated longer words.", "Rule 167: corpus readback."),
    ("process", "Prior corpus rows with use, food, material, and event predicates did not license new Rule 167 use predicates.", "Rule 167: source prose restraint."),
    ("lexicon", "`jina-jina` stayed Yalanji water gum tree only; no timber, wood, woomera, or material-source claim.", "Rule 167: jina-jina."),
    ("lexicon", "`jarrangkal` stayed fig tree only; no fruit, food, shade, gathering, climbing, or named-place row.", "Rule 167: jarrangkal."),
    ("lexicon", "`julbin` stayed scrub tree only; no edible, grinding, leaching, food-processing, or scrub-ecology row.", "Rule 167: julbin."),
    ("lexicon", "`kunjarri` stayed palm only; no bark-container, cooking-container, edible-trunk, leaf-use, or material row.", "Rule 167: kunjarri."),
    ("lexicon", "`kurruy` stayed plum tree only; no fruit, food, wet-ground, creek-edge, or seasonal row.", "Rule 167: kurruy."),
    ("lexicon", "`malurri` stayed fern tree only; no growth, river-edge, fern, or mangrove comparison row.", "Rule 167: malurri."),
    ("lexicon", "`mawar` stayed vine only; no lawyer-cane use, braces, tying, string, strength, or shelter row.", "Rule 167: mawar."),
    ("lexicon", "`maya` stayed vine / clinging plant only; no berry, medicine, food, root, basket, or weaving row.", "Rule 167: maya."),
    ("lexicon", "`wangay` stayed vine only; no fruit-bearing, Main Camp place, yam-marker, gathering, tying, or dillybag row.", "Rule 167: wangay."),
    ("lexicon", "`yawarr` stayed palm only; no material, leaf, bark, container, or place row.", "Rule 167: yawarr."),
    ("morphology", "All target heads stayed bare; no target LOC, DAT, ABL, PERL, ERG, INST, COMIT, POSS, PRIV, EXCESS, reduplicated, or compound morphology appeared.", "Rule 167: target case restraint."),
    ("morphology", "Hyphenated `jina-jina` was treated as a whole reduplicated lexical head, not as permission to produce new `jina` compounds.", "Rule 167: hyphenated lexical head."),
    ("morphology", "Pronoun A forms `ngayu`, `yundu`, `jana`, and `ngana` stayed bare.", "Rule 167: pronoun A marking."),
    ("morphology", "`nyajin` remained nyaji-ny past and `nyajil` remained nyaji-l nonpast.", "Rule 167: perception tense forms."),
    ("syntax", "Rows 1-10 used one target plus `yaluy` with no predicator.", "Rule 167: yaluy deictic syntax."),
    ("syntax", "Rows 11-20 used bare 1sg A plus one bare flora object and `nyajil`.", "Rule 167: bare present perception."),
    ("syntax", "Rows 21-30 used bare 2sg A, one bare flora object, `yinyay`, and `nyajil`.", "Rule 167: yundu yinyay perception."),
    ("syntax", "Rows 31-40 used bare 3pl A, one bare flora object, `yinyay`, and past `nyajin`.", "Rule 167: jana yinyay past perception."),
    ("syntax", "Rows 41-50 used inclusive `ngana`, one bare flora object, `yaluy`, and `nyajil`.", "Rule 167: ngana yaluy perception."),
    ("handoff", "Next cadence can consolidate the Rule 167 flora set, but fruit, food, edible processing, medicine, bark, container, spear, wood, woomera, material-source, weaving, tying, string, braces, place, ecology, and target-case semantics remain closed unless deliberately sourced.", "Rule 167: next cadence."),
]

LEXEMES = [
    ("jina-jina", "noun", None, "NA", "water gum tree", "batch-209: selected Yalanji water gum tree only; no timber, wood, woomera, or material-source claim."),
    ("jarrangkal", "noun", None, "NA", "fig tree", "batch-209: selected fig tree only; no fruit, food, shade, gathering, climbing, or named-place row."),
    ("julbin", "noun", None, "NA", "scrub tree", "batch-209: selected scrub tree only; no edible, grinding, leaching, food-processing, or scrub-ecology row."),
    ("kunjarri", "noun", None, "NA", "palm", "batch-209: selected palm only; no bark-container, cooking-container, edible-trunk, leaf-use, or material row."),
    ("kurruy", "noun", None, "NA", "plum tree", "batch-209: selected plum tree only; no fruit, food, wet-ground, creek-edge, or seasonal row."),
    ("malurri", "noun", None, "NA", "fern tree", "batch-209: selected fern tree only; no growth, river-edge, fern, or mangrove comparison row."),
    ("mawar", "noun", None, "NA", "vine", "batch-209: selected vine only; no lawyer-cane use, braces, tying, string, strength, or shelter row."),
    ("maya", "noun", None, "NA", "vine", "batch-209: selected vine/clinging plant only; no berry, medicine, food, root, basket, or weaving row."),
    ("wangay", "noun", None, "NA", "vine", "batch-209: selected vine only; no fruit-bearing, Main Camp place, yam-marker, gathering, tying, or dillybag row."),
    ("yawarr", "noun", None, "NA", "palm", "batch-209: selected palm only; no material, leaf, bark, container, or place row."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-209: retained local demonstrative in deictic and supported perception rows."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-209: retained local demonstrative in supported perception rows."),
    ("nyaji-l", "verb", "l", "NA", "see; hear; perceive", "batch-209: retained past and nonpast perception rows with flora objects."),
    ("ngayu", "pronoun", None, "NA", "I; 1sg nominative", "batch-209: bare pronoun A in present perception rows."),
    ("yundu", "pronoun", None, "NA", "you; 2sg nominative", "batch-209: bare pronoun A in yinyay-supported present perception rows."),
    ("jana", "pronoun", None, "NA", "they; 3pl nominative", "batch-209: bare pronoun A in yinyay-supported past perception rows."),
    ("ngana", "pronoun", None, "NA", "we; 1pl inclusive", "batch-209: 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-209-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 167 rows. Morphology checked bare flora 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 flora senses and kept fruit, food, edible processing, medicine, bark use, container-making, spear-making, timber/wood/woomera/material-source, weaving, tying, string/braces, cutting, burning, place-name, and ecological-event 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 food/fruit/edible/medicine/wood/woomera/bark/container/burning/spear/weaving/tying/string/material-use claim, no dakumbar/dukal/jinjay/jalnji/ngakun target, and no place-name or homograph 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 167 lessons covering source checks, exclusions, target senses, morphology, syntax, fidelity, register, and handoff.",
                 artifact_path="batch_scripts/close_209.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 167 targets, support forms, participants, and perception.",
                 artifact_path="batch_scripts/close_209.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 209: 50 accepted Rule 167 flora reference lexical rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
                 command="python3 batch_scripts/close_209.py", artifact_path="batch_scripts/close_209.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-209:%'").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())
