#!/usr/bin/env python3
"""Close batch-206 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-206"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-206-construction-consolidation-after-rule163-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "CONSTRUCTION CONSOLIDATION AFTER RULE 163 (Rule 164). 50 rows. RETAINED TARGETS: buyukal tree, "
    "dalkan casuarina pine/beach tree, dari boxwood tree, dibul cane, dilbal hickory tree, dili corkwood pine, "
    "jabarr baldy gum tree, jakari spiderlily, jama tree, and jilbar corkwood tree. FRAMES: bare yinyay deictic "
    "identification, yaluy-supported present perception with ngayu, yaluy-supported present perception with yundu, "
    "yaluy-supported past perception with jana, and yinyay-supported present perception with ngana. REVIEW: all "
    "targets stayed bare; no eating, fruit-gathering, medicine, bark-use, burning, weaving, tying, spear-making, "
    "timber/material-source, storm-control, place-name, target case, target compound, possession, or ecological-event "
    "semantics."
)

LESSONS = [
    ("process", "A construction consolidation pass can reuse a just-admitted lexical set while rotating only the support frame.", "Rule 164: construction cadence after Rule 163."),
    ("process", "Rule 164 retained the ten Rule 163 plant/tree heads and did not reopen body parts, kin terms, fauna, sky/weather, or geography fields.", "Rule 164: retained scope."),
    ("process", "No new lexical heads were added; the batch tests frame variation, not dictionary expansion.", "Rule 164: no new heads."),
    ("process", "Exact duplicate preflight found 50 planned rows, 50 unique surfaces, and no cross-corpus duplicates before banking.", "Rule 164: duplicate preflight."),
    ("process", "Each retained target was rechecked against dictionary, Patz grammar search, and the existing lexeme notes before banking.", "Rule 164: source revalidation."),
    ("lexicon", "`buyukal` stayed a tree with unknown English name; no place, use, fruit, or material-source claim.", "Rule 164: buyukal."),
    ("lexicon", "`dalkan` stayed casuarina pine / beach tree; the generated English used casuarina pine and avoided beach/event semantics.", "Rule 164: dalkan."),
    ("lexicon", "`dari` stayed boxwood tree; no high-place ecology or material-use row.", "Rule 164: dari."),
    ("lexicon", "`dibul` stayed cane only; no tying, weaving, walking-stick, or material-source row.", "Rule 164: dibul."),
    ("lexicon", "`dilbal` stayed hickory tree; no timber, cutting, burning, or artefact row.", "Rule 164: dilbal."),
    ("lexicon", "`dili` stayed corkwood pine; the witchetty note in the dictionary was not imported into generated semantics.", "Rule 164: dili."),
    ("lexicon", "`jabarr` stayed baldy gum tree; no gum-use, timber, burning, or place-name row.", "Rule 164: jabarr."),
    ("lexicon", "`jakari` stayed spiderlily; no medicine, food, flower-gathering, or decorative-use row.", "Rule 164: jakari."),
    ("lexicon", "`jama` stayed a tree type; no ecology, material-source, or event predicate was added.", "Rule 164: jama."),
    ("lexicon", "`jilbar` stayed corkwood tree; no wood, bark, cutting, burning, or artefact row.", "Rule 164: jilbar."),
    ("morphology", "All target heads stayed bare; no target LOC, DAT, ABL, PERL, ERG, INST, COMIT, POSS, PRIV, EXCESS, or compound morphology appeared.", "Rule 164: target case restraint."),
    ("morphology", "Patz-confirmed source forms such as `dalkan-ba` and `dili-mba` remained source evidence, not generated target morphology.", "Rule 164: source form is not production license."),
    ("morphology", "Pronoun A forms `ngayu`, `yundu`, `jana`, and `ngana` stayed bare.", "Rule 164: pronoun A marking."),
    ("morphology", "`nyajin` remained nyaji-ny past and `nyajil` remained nyaji-l nonpast.", "Rule 164: perception tense forms."),
    ("syntax", "Rows 1-10 used one bare target plus `yinyay` with no predicator.", "Rule 164: yinyay deictic syntax."),
    ("syntax", "Rows 11-20 used bare 1sg A, one bare plant/tree object, `yaluy`, and `nyajil`.", "Rule 164: ngayu yaluy perception."),
    ("syntax", "Rows 21-30 used bare 2sg A, one bare plant/tree object, `yaluy`, and `nyajil`.", "Rule 164: yundu yaluy perception."),
    ("syntax", "Rows 31-40 used bare 3pl A, one bare plant/tree object, `yaluy`, and past `nyajin`.", "Rule 164: jana yaluy past perception."),
    ("syntax", "Rows 41-50 used inclusive `ngana`, one bare plant/tree object, `yinyay`, and `nyajil`.", "Rule 164: ngana yinyay perception."),
    ("handoff", "Next cadence can return to lexical expansion after this consolidation, but eating, fruit, medicine, bark, burning, weaving, tying, spear, timber, storm-control, place-name, ecological-event, and target-case semantics remain closed unless deliberately sourced.", "Rule 164: next cadence."),
]

LEXEMES = [
    ("buyukal", "noun", None, "NA", "buyukal tree", "batch-206: retained tree with English name unknown; no place/use/fruit/material claim."),
    ("dalkan", "noun", None, "NA", "casuarina pine; beach tree", "batch-206: retained casuarina pine/beach tree; English used casuarina pine and targets stayed bare."),
    ("dari", "noun", None, "NA", "boxwood tree", "batch-206: retained boxwood tree; no high-place ecology or material-use row."),
    ("dibul", "noun", None, "NA", "cane", "batch-206: retained cane only; no tying, weaving, walking-stick, or material-source row."),
    ("dilbal", "noun", None, "NA", "hickory tree", "batch-206: retained hickory tree only; no timber, cutting, burning, or artefact row."),
    ("dili", "noun", None, "NA", "corkwood pine", "batch-206: retained corkwood pine; no witchetty/ecology/use import and no target locative."),
    ("jabarr", "noun", None, "NA", "baldy gum tree", "batch-206: retained baldy gum tree; no gum, timber, burning, or place row."),
    ("jakari", "noun", None, "NA", "spiderlily", "batch-206: retained spiderlily only; no medicine, food, or gathering row."),
    ("jama", "noun", None, "NA", "jama tree", "batch-206: retained tree type only; no ecology, material-source, or event row."),
    ("jilbar", "noun", None, "NA", "corkwood tree", "batch-206: retained corkwood tree; no wood, bark, cutting, burning, or artefact row."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-206: retained local demonstrative in supported perception rows."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-206: retained local demonstrative in deictic and supported perception rows."),
    ("nyaji-l", "verb", "l", "NA", "see; hear; perceive", "batch-206: retained past and nonpast perception rows with plant/tree objects."),
    ("ngayu", "pronoun", None, "NA", "I; 1sg nominative", "batch-206: bare pronoun A in yaluy-supported present perception rows."),
    ("yundu", "pronoun", None, "NA", "you; 2sg nominative", "batch-206: bare pronoun A in yaluy-supported present perception rows."),
    ("jana", "pronoun", None, "NA", "they; 3pl nominative", "batch-206: bare pronoun A in yaluy-supported past perception rows."),
    ("ngana", "pronoun", None, "NA", "we; 1pl inclusive", "batch-206: bare pronoun A in yinyay-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-206-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 164 rows. Morphology checked bare plant/tree 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 retained plant/tree senses and kept fruit, eating, medicine, bark-use, burning, weaving, tying, spear-making, timber/material-source, storm-control, place-name, and ecology/event traps closed. Syntax checked bare yinyay deictic identification, yaluy-supported present perception, yaluy-supported past perception, and yinyay-supported present perception. Fidelity checked no use/event 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/compound form, no food/fruit/medicine/wood/bark/burning/storm/spear/weaving/tying/material-use claim, 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 164 lessons covering source checks, target senses, morphology, syntax, fidelity, register, and handoff.",
                 artifact_path="batch_scripts/close_206.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 164 targets, support forms, participants, and perception.",
                 artifact_path="batch_scripts/close_206.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 206: 50 accepted Rule 164 construction-consolidation rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
                 command="python3 batch_scripts/close_206.py", artifact_path="batch_scripts/close_206.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-206:%'").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())
