#!/usr/bin/env python3
"""Close batch-252 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-252"
NOW = dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
PROCESS_LOG = "process_logs/batch-252-low-coverage-water-reference-lexical-expansion-after-rule209-process.md"
LENSES = ("morphology", "lexicon", "syntax", "fidelity", "register")

NOTES = (
    "LOW-COVERAGE WATER REFERENCE LEXICAL EXPANSION AFTER RULE 209 (Rule 210). 50 rows. TARGETS: balar high tide, "
    "ngajal low tide, walngka swamp, yilki creek, jirka spring, yiri waterfall, yirri running water, marrka calm sea, "
    "mulngku wave, and miral scum. 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, productive reduplication, place-name, "
    "salt-pan, whale-oil, route, fishing, gathering, ecology, danger, flood, reef-use, water-use, current, motion, "
    "sound, travel, ownership, weather-event, or support-inflection drift was opened."
)

LESSONS = [
    ("process", "Rule 210 used a low-coverage water-reference lexical field after Rule 209 artefact references.", "Rule 210: water-reference cadence."),
    ("source", "Patz section 3.7 supports yinya 'that/those', yaluy 'here', and yinyay 'there'.", "Rule 210: demonstrative source."),
    ("source", "Patz section 3.7 permits yinya before or after a noun; Rule 210 kept both positions but no inflected demonstrative forms.", "Rule 210: yinya position."),
    ("process", "Land-geography was rejected because Batches 227-228 already handled landform reference.", "Rule 210: field rejection."),
    ("process", "Sky-weather and food were deferred because their low-count entries require heavier condition/event/use traps.", "Rule 210: deferred fields."),
    ("process", "Ngarngkul, jalungkarr, and dulngku were held in reserve to avoid splash, flood, and reef-gathering pressure.", "Rule 210: reserve candidates."),
    ("lexicon", "Balar stayed high tide only; Oaky Creek place-name, place, route, tide-reading instruction, and food-gathering rows stayed closed.", "Rule 210: balar."),
    ("lexicon", "Ngajal stayed low tide only; shellfish gathering, reef walking, crab/oyster rows, and tide-instruction prose stayed closed.", "Rule 210: ngajal."),
    ("lexicon", "Walngka stayed swamp only; frog, mosquito, lily-root, travel, hanging-homograph, and locative-case rows stayed closed.", "Rule 210: walngka."),
    ("lexicon", "Yilki stayed creek only; creek-mouth, fishing, route/travel, source, and locative-case rows stayed closed.", "Rule 210: yilki."),
    ("lexicon", "Jirka stayed spring as water source only; season reading, water-filling, hidden-soak, and locative-case rows stayed closed.", "Rule 210: jirka."),
    ("lexicon", "Yiri stayed waterfall only; falling/travel/danger/event readings stayed closed.", "Rule 210: yiri."),
    ("lexicon", "Yirri stayed running water only; flow/current/use/motion-event readings stayed closed.", "Rule 210: yirri."),
    ("lexicon", "Marrka stayed calm sea only; salt-pan and sea-condition narrative rows stayed closed.", "Rule 210: marrka."),
    ("lexicon", "Mulngku stayed wave only; rough-sea, breaking, sound, danger, and travel rows stayed closed.", "Rule 210: mulngku."),
    ("lexicon", "Miral stayed scum only; whale-oil, material, animal, and use readings stayed closed.", "Rule 210: miral."),
    ("morphology", "All target water nouns stayed bare: no case, possession, comitative, instrumental, locative, plural, derivation, compound, or reduplication.", "Rule 210: bare nouns."),
    ("morphology", "Yinya, yaluy, and yinyay stayed uninflected; no demonstrative case, possessive, comitative, local-derived, or plural human form was opened.", "Rule 210: support morphology."),
    ("syntax", "Rows 1-10 used TARGET yaluy.", "Rule 210: here frame."),
    ("syntax", "Rows 11-20 used TARGET yinyay.", "Rule 210: there frame."),
    ("syntax", "Rows 21-30 used Yinya TARGET yinyay.", "Rule 210: initial demonstrative there frame."),
    ("syntax", "Rows 31-40 used TARGET yinya yinyay.", "Rule 210: postposed demonstrative there frame."),
    ("syntax", "Rows 41-50 used Yinya TARGET yaluy.", "Rule 210: initial demonstrative here frame."),
    ("fidelity", "English stayed literal: selected water/coastal label plus here/there/that support only.", "Rule 210: literal English."),
    ("fidelity", "No English water-use, fishing, route, ecology, danger, flood, reef-use, weather, sound, ownership, or event wording was imported.", "Rule 210: denied English fields."),
    ("register", "Rows remained plain reference/location sentences, not narratives, fishing/tide instructions, route reports, water-use events, or ecological descriptions.", "Rule 210: register."),
    ("handoff", "Next batch may continue from 12,697 if this closes; do not infer water-use, route, fishing, ecology, place-name, target morphology, or support inflection from Rule 210.", "Rule 210: next cadence."),
]

LEXEMES = [
    ("balar", "noun", None, "NA", "high tide", "batch-252: high tide noun only; Oaky Creek place-name and tide-use/instruction readings closed."),
    ("ngajal", "noun", None, "NA", "low tide", "batch-252: low tide noun only; shellfish/reef/gathering/tide-instruction readings closed."),
    ("walngka", "noun", None, "NA", "swamp", "batch-252: swamp noun only; frog/mosquito/lily-root/travel/hanging-homograph/locative rows closed."),
    ("yilki", "noun", None, "NA", "creek", "batch-252: creek noun only; creek-mouth/fishing/route/travel/source/locative rows closed."),
    ("jirka", "noun", None, "NA", "spring", "batch-252: water-source spring noun only; season/water-filling/hidden-soak/locative rows closed."),
    ("yiri", "noun", None, "NA", "waterfall", "batch-252: waterfall noun only; falling/travel/danger/event readings closed."),
    ("yirri", "noun", None, "NA", "running water", "batch-252: running water noun only; flow/current/use/motion-event readings closed."),
    ("marrka", "noun", None, "NA", "calm sea", "batch-252: calm sea noun only; salt-pan and sea-condition narrative readings closed."),
    ("mulngku", "noun", None, "NA", "wave", "batch-252: wave noun only; rough-sea/breaking/sound/danger/travel readings closed."),
    ("miral", "noun", None, "NA", "scum", "batch-252: scum noun only; whale-oil/material/animal/use readings closed."),
    ("yaluy", "demonstrative", None, "NA", "here", "batch-252: local demonstrative support only."),
    ("yinyay", "demonstrative", None, "NA", "there", "batch-252: local demonstrative support only."),
    ("yinya", "demonstrative", None, "NA", "that; those", "batch-252: 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-252-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 210 rows. Morphology checked bare water targets and uninflected yinya/yaluy/yinyay. Lexicon checked selected water/coastal 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, place-name, salt-pan, whale-oil, route, fishing, gathering, ecology, danger, flood, reef-use, water-use, current, motion, sound, travel, ownership, 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 210 lessons covering source checks, field rejection, target senses, morphology, syntax, fidelity, register, and handoff.",
        artifact_path="batch_scripts/close_252.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 210 targets and demonstrative heads.",
        artifact_path="batch_scripts/close_252.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 252: 50 accepted Rule 210 low-coverage water reference lexical-expansion rows, five-lens reviews, lessons, lexeme/source logs, and process evidence stored.",
        command="python3 batch_scripts/close_252.py",
        artifact_path="batch_scripts/close_252.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())
