src/explicit_learning/cli/data.py

"""``explicit-data`` — ingest, decontamination, rendering, and group assembly.

Implemented subcommands:

  freeze-eval    Freeze the evaluation registry write-once before any training
                 ingest (``docs/02`` §3). Refuses to overwrite a frozen registry.
  ingest         Normalize one training source to ``normalized/<source>/<split>``.
                 Hard-refuses MathVista (training-prohibited) and skips BBox DocVQA
                 when its dual approval gate is not cleared.
  fingerprint    Compute exact/pHash/MinHash fingerprints into a SQLite index
                 (``docs/02`` §5.1). Operates on normalized items.jsonl files or,
                 for eval, the registry's companion items file.
  decontaminate  Match train fingerprints against the eval index and
                 automatically reject exact and near duplicates.
  scan-plotqa-prefix
                 Verify and summarize the pinned PlotQA source prefixes.
  build-certified-release
                 Build the fixed C1 five-state train/evaluation release.
  replay-certificates
                 Independently replay every persisted view certificate.

The remaining subcommands are documented but not yet implemented: they exit 2
(never a silent success, per the runbook).
"""

from __future__ import annotations

import argparse
import json
import sys
from collections.abc import Callable, Mapping
from pathlib import Path
from typing import Any

from .. import contamination, ingest
from ..atomic_io import read_jsonl
from ..config import (
    ConfigError,
    ExperimentConfig,
    ResourcesManifest,
    load_config_pair,
    load_resources,
)
from ..ingest import base as ingest_base
from ..ingest.base import IngestError
from ..logging_setup import get_logger
from ..paths import data_root, repo_root
from ..resources import load_approval
from ._stub import dispatch

_PROG = "explicit-data"
logger = get_logger("data")

_SUBCOMMANDS = {
    "freeze-eval": "Freeze the evaluation registry before any training ingest (P2).",
    "ingest": "Normalize a source dataset to the common item schema (P2).",
    "fingerprint": "Compute exact/pHash/MinHash fingerprints into SQLite (P3).",
    "decontaminate": "Reject/near-duplicate match train vs eval (P3).",
    "scan-plotqa-prefix": "Compile and count executable D15 PlotQA prefix rows.",
    "build-certified-release": "Build the fixed PlotQA C1 train/eval release.",
    "replay-certificates": "Replay every persisted certificate in one split.",
    "build-evi-core-release": "Build PlotQA+GQA+CLEVR EVI core v2.",
    "replay-evi-core-release": "Replay every certificate in EVI core v2.",
    "validate-evi-core-release": "Schema/admission-check EVI core v2.",
    "validate-full": "Teacher/verifier blind validation of FULL problems (P4/P7).",
    "propose-dependencies": "Teacher dependency/region proposal (P5).",
    "localize": "OCR/SAM/CV region localization (P5).",
    "render": "Deterministic intervention rendering (P6).",
    "blind-relabel": "Teacher/verifier blind re-solve of transformed views (P7).",
    "reconcile": "Reconcile solver labels into states (P7).",
    "build-groups": "Assemble intervention groups (P7).",
    "validate-groups": "Validate groups against schema + invariants (P7).",
    "manifest": "Build a dataset manifest (P7).",
    "sample-candidates": "Sample dry-run candidates (P6).",
    "build-pilot": "Build the accepted 2K pilot (P6).",
    "produce-silver": "Produce silver train at scale (P7).",
}


def _add_config_args(parser: argparse.ArgumentParser) -> None:
    parser.add_argument(
        "--resources",
        type=Path,
        default=repo_root() / "configs" / "resources.yaml",
    )
    parser.add_argument(
        "--experiment",
        type=Path,
        default=repo_root() / "configs" / "experiment.yaml",
    )


def _utc_now() -> str:
    from datetime import UTC, datetime

    return datetime.now(tz=UTC).strftime("%Y-%m-%dT%H:%M:%SZ")


class _Handled(Exception):
    """Internal control-flow signal that a nonzero exit has already been printed."""

    def __init__(self, code: int) -> None:
        super().__init__()
        self.code = code


def _load_pair(
    args: argparse.Namespace,
) -> tuple[ResourcesManifest, ExperimentConfig]:
    try:
        return load_config_pair(args.resources, args.experiment)
    except (ConfigError, FileNotFoundError) as exc:
        print(f"{_PROG}: config load failed: {exc}", file=sys.stderr)
        raise _Handled(1) from exc


# --- freeze-eval -----------------------------------------------------------


def cmd_freeze_eval(argv: list[str]) -> int:
    parser = argparse.ArgumentParser(prog=f"{_PROG} freeze-eval")
    _add_config_args(parser)
    parser.add_argument(
        "--rows-dir",
        type=Path,
        required=True,
        help="directory holding <source>.<split>.jsonl native-row files.",
    )
    parser.add_argument(
        "--image-root",
        type=Path,
        default=None,
        help="root directory for native image refs (visual eval sources).",
    )
    parser.add_argument(
        "--output",
        type=Path,
        default=None,
        help="registry output (default <data_root>/registry/evaluation_items.v1.jsonl).",
    )
    parser.add_argument(
        "--force", action="store_true", help="overwrite an existing frozen registry."
    )
    parser.add_argument(
        "--resume",
        action="store_true",
        help="verify an existing registry matches the computed freeze (idempotent).",
    )
    args = parser.parse_args(argv)

    try:
        resources, experiment = _load_pair(args)
    except _Handled as exc:
        return exc.code

    plan = ingest.eval_freeze_plan(experiment)
    resolved_plan = [
        ingest.EvalSourceSpec(
            name=spec.name,
            config=spec.config,
            split=spec.split if spec.from_gold else ingest.default_split_for(spec.name, resources),
            from_gold=spec.from_gold,
        )
        for spec in plan
    ]

    output = args.output or (data_root() / "registry" / "evaluation_items.v1.jsonl")
    try:
        frozen = ingest.freeze_eval(
            resolved_plan,
            resources,
            rows_dir=args.rows_dir,
            image_root=args.image_root,
            output_path=output,
            force=args.force,
            resume=args.resume,
        )
    except ingest.RegistryFrozenError as exc:
        print(f"{_PROG} freeze-eval: {exc}", file=sys.stderr)
        return 1
    except ingest.IngestError as exc:
        print(f"{_PROG} freeze-eval: {exc}", file=sys.stderr)
        return 1

    print(
        json.dumps(
            {
                "registry_path": str(frozen.path),
                "registry_sha256": frozen.sha256,
                "row_count": frozen.row_count,
                "sources": [s.name for s in resolved_plan],
            },
            sort_keys=True,
        )
    )
    return 0


# --- ingest ----------------------------------------------------------------


def cmd_ingest(argv: list[str]) -> int:
    parser = argparse.ArgumentParser(prog=f"{_PROG} ingest")
    src_group = parser.add_mutually_exclusive_group(required=True)
    src_group.add_argument(
        "--source",
        help="structured source name (plotqa/geometry3k); reads from raw/<source>.",
    )
    src_group.add_argument("--resource", help="HF dataset resource logical name.")
    parser.add_argument("--split", required=True, help="source split to ingest.")
    parser.add_argument(
        "--rows",
        type=Path,
        default=None,
        help="native-row JSONL file for this source/split (HF --resource path).",
    )
    parser.add_argument(
        "--image-root",
        type=Path,
        default=None,
        help="root directory for native image refs (HF --resource path).",
    )
    parser.add_argument(
        "--raw-dir",
        type=Path,
        default=None,
        help="materialized raw dir for a structured --source (default <data_root>/raw/<source>).",
    )
    parser.add_argument(
        "--config",
        default="default",
        help="source config name (MMMU: subject).",
    )
    parser.add_argument("--approval", type=Path, default=None, help="resource_approval.json path.")
    parser.add_argument(
        "--resources",
        type=Path,
        default=repo_root() / "configs" / "resources.yaml",
    )
    parser.add_argument(
        "--eval-registry",
        type=Path,
        default=None,
        help="frozen evaluation registry path (required for train ingest).",
    )
    parser.add_argument(
        "--no-require-eval-registry",
        action="store_true",
        help="allow train ingest before the eval registry is frozen (testing only).",
    )
    parser.add_argument(
        "--output",
        type=Path,
        default=None,
        help="output dir (default <data_root>/normalized/<name>/<split>).",
    )
    parser.add_argument(
        "--config-sha256",
        default="",
        help="canonical config hash to record in the ingest manifest.",
    )
    args = parser.parse_args(argv)

    try:
        resources = load_resources(args.resources)
    except (ConfigError, FileNotFoundError) as exc:
        print(f"{_PROG} ingest: resources load failed: {exc}", file=sys.stderr)
        return 1

    # Structured-source path (PlotQA/Geometry3K C1): reads from a materialized
    # raw dir; --rows/--image-root do not apply.
    if args.source is not None:
        return _ingest_structured(args, resources)

    return _ingest_dataset(args, resources)


def _ingest_structured(args: argparse.Namespace, resources: Any) -> int:
    name = args.source
    assert name is not None
    if name not in resources.structured_sources:
        print(f"{_PROG} ingest: unknown structured source {name!r}", file=sys.stderr)
        return 1
    cfg = resources.structured_sources[name]
    revision = cfg.get("revision", "")
    raw_dir = args.raw_dir or (data_root() / "raw" / name)
    output = args.output or (data_root() / "normalized" / name / args.split)
    expected_sha256 = cfg.get("expected_sha256") or None
    try:
        result = ingest.ingest_structured_source(
            name,
            args.split,
            raw_dir,
            output,
            revision=revision,
            source_config=cfg,
            expected_sha256=expected_sha256,
            eval_registry_path=args.eval_registry,
            require_eval_registry=not args.no_require_eval_registry,
            config_sha256=args.config_sha256,
            created_at=_utc_now(),
        )
    except ingest.IngestError as exc:
        print(f"{_PROG} ingest: {exc}", file=sys.stderr)
        return 1

    print(
        json.dumps(
            {
                "source": result.source,
                "split": result.split,
                "written": result.written,
                "dropped": result.dropped,
                "output": str(result.output_path),
            },
            sort_keys=True,
        )
    )
    return 0


def _ingest_dataset(args: argparse.Namespace, resources: Any) -> int:
    if args.resource not in resources.datasets:
        print(f"{_PROG} ingest: unknown resource {args.resource!r}", file=sys.stderr)
        return 1
    revision = resources.datasets[args.resource].revision
    approval = load_approval(args.approval)

    if args.rows is None or not args.rows.exists():
        print(f"{_PROG} ingest: rows file not found: {args.rows}", file=sys.stderr)
        return 1
    rows = ingest.read_native_rows(args.rows)
    resolver = ingest_base.DirectoryImageResolver(args.image_root) if args.image_root else None
    if resolver is None and args.resource != "bbox_docvqa_train":
        print(
            f"{_PROG} ingest: --image-root is required for source {args.resource!r}",
            file=sys.stderr,
        )
        return 1

    output = args.output or (data_root() / "normalized" / args.resource / args.split)
    try:
        result = ingest.ingest_source(
            args.resource,
            args.split,
            rows,
            resolver,  # type: ignore[arg-type]
            output,
            revision=revision,
            config=args.config,
            approval=approval,
            eval_registry_path=args.eval_registry,
            require_eval_registry=not args.no_require_eval_registry,
            config_sha256=args.config_sha256,
            created_at=_utc_now(),
        )
    except ingest.IngestError as exc:
        print(f"{_PROG} ingest: {exc}", file=sys.stderr)
        return 1

    print(
        json.dumps(
            {
                "source": result.source,
                "split": result.split,
                "written": result.written,
                "dropped": result.dropped,
                "output": str(result.output_path),
            },
            sort_keys=True,
        )
    )
    return 0


# --- fingerprint -----------------------------------------------------------


def _collect_input_files(args: argparse.Namespace) -> list[Path]:
    if args.input is not None:
        path = Path(args.input)
        if path.is_dir():
            return sorted(path.rglob("items.jsonl"))
        # A single items.jsonl (or a registry path whose companion is read later).
        return [path] if path.is_file() else []
    return sorted(Path(args.input_root).rglob("items.jsonl"))


def _is_registry_row(row: Mapping[str, Any]) -> bool:
    """A frozen registry row carries ``native_id`` but no ``question`` text."""
    return "question" not in row and "native_id" in row


def _pick_image_base(file_path: Path, rows: list[dict[str, Any]]) -> Path | None:
    """Auto-detect the image root for a file's rows, or None if text-only."""
    for row in rows:
        paths = row.get("image_paths") or []
        if paths:
            first = paths[0]
            for candidate in (file_path.parent, file_path.parent / "eval_images"):
                if (candidate / first).exists():
                    return candidate
            raise IngestError(f"cannot resolve image {first!r} for {file_path}; pass --image-base")
    return None


def _make_resolver(base_dir: Path) -> Callable[[str], Path]:
    def resolve(ref: str) -> Path:
        path = base_dir / ref
        if not path.exists():
            raise IngestError(f"image not found: {path}")
        return path

    return resolve


def cmd_fingerprint(argv: list[str]) -> int:
    parser = argparse.ArgumentParser(prog=f"{_PROG} fingerprint")
    group = parser.add_mutually_exclusive_group(required=True)
    group.add_argument("--input", type=Path, help="items.jsonl file or directory.")
    group.add_argument("--input-root", type=Path, help="root to glob items.jsonl under.")
    parser.add_argument(
        "--image-base", type=Path, default=None, help="image root (auto-detected if omitted)."
    )
    parser.add_argument("--db", type=Path, required=True, help="SQLite index output.")
    args = parser.parse_args(argv)

    files = _collect_input_files(args)
    if not files:
        print(f"{_PROG} fingerprint: no items.jsonl found", file=sys.stderr)
        return 1

    fingerprints: list[contamination.Fingerprints] = []
    sources: set[str] = set()
    for file_path in files:
        rows = [dict(r) for r in read_jsonl(file_path)]
        # A frozen registry has no text/pixels; use its companion items file when present.
        if rows and _is_registry_row(rows[0]):
            companion = file_path.with_name(file_path.stem + ".items.jsonl")
            if companion.exists():
                rows = [dict(r) for r in read_jsonl(companion)]
                file_path = companion
            else:
                print(
                    f"{_PROG} fingerprint: {file_path} is a registry without a companion "
                    "items file; text/pHash fingerprints unavailable",
                    file=sys.stderr,
                )
        base_dir = (
            args.image_base if args.image_base is not None else _pick_image_base(file_path, rows)
        )
        resolve_image = _make_resolver(base_dir) if base_dir is not None else None
        try:
            for row in rows:
                fp = contamination.fingerprint_row(row, resolve_image=resolve_image)
                fingerprints.append(fp)
                sources.add(fp.source)
        except IngestError as exc:
            print(f"{_PROG} fingerprint: {exc}", file=sys.stderr)
            return 1

    count = contamination.index.write_fingerprints(args.db, fingerprints)
    print(
        json.dumps(
            {"db": str(args.db), "row_count": count, "sources": sorted(sources)}, sort_keys=True
        )
    )
    return 0


# --- decontaminate ---------------------------------------------------------


def cmd_decontaminate(argv: list[str]) -> int:
    parser = argparse.ArgumentParser(prog=f"{_PROG} decontaminate")
    parser.add_argument("--train-db", type=Path, required=True)
    parser.add_argument("--eval-db", type=Path, required=True)
    parser.add_argument("--output", type=Path, required=True, help="train allowlist JSONL.")
    parser.add_argument(
        "--near-duplicate-rejects",
        "--review-queue",
        dest="near_duplicate_rejects",
        type=Path,
        required=True,
        help="immutable auto-rejected near-duplicate JSONL (legacy alias: --review-queue).",
    )
    args = parser.parse_args(argv)

    for label, path in (("train-db", args.train_db), ("eval-db", args.eval_db)):
        if not path.exists():
            print(f"{_PROG} decontaminate: {label} not found: {path}", file=sys.stderr)
            return 1

    summary = contamination.match.decontaminate_dbs(
        str(args.train_db),
        str(args.eval_db),
        allowlist_path=str(args.output),
        review_path=str(args.near_duplicate_rejects),
    )
    # The full rejected list is available in the summary; print counts only.
    printable = {k: v for k, v in summary.items() if k != "rejected"}
    print(json.dumps(printable, sort_keys=True))
    return 0


# --- fixed PlotQA C1 release ----------------------------------------------


def cmd_scan_plotqa_prefix(argv: list[str]) -> int:
    from ..datasets.plotqa_prefix import collect_plotqa_candidates

    parser = argparse.ArgumentParser(prog=f"{_PROG} scan-plotqa-prefix")
    parser.add_argument("--annotations", type=Path, required=True)
    parser.add_argument("--qa", type=Path, required=True)
    args = parser.parse_args(argv)
    try:
        result = collect_plotqa_candidates(args.annotations, args.qa)
    except (OSError, ValueError) as exc:
        print(f"{_PROG} scan-plotqa-prefix: {exc}", file=sys.stderr)
        return 1
    print(
        json.dumps(
            {
                "accepted_candidates": len(result.candidates),
                "complete_annotation_items": result.complete_annotation_items,
                "complete_qa_items": result.complete_qa_items,
                "d15_items": result.d15_items,
                "rejection_counts": result.rejection_counts,
            },
            sort_keys=True,
        )
    )
    return 0


def cmd_build_certified_release(argv: list[str]) -> int:
    from ..datasets.release import (
        ReleaseError,
        build_plotqa_release,
        load_release_config,
    )

    parser = argparse.ArgumentParser(prog=f"{_PROG} build-certified-release")
    parser.add_argument("--annotations", type=Path, required=True)
    parser.add_argument("--qa", type=Path, required=True)
    parser.add_argument("--output", type=Path, required=True)
    parser.add_argument(
        "--release-config",
        type=Path,
        default=repo_root() / "configs" / "release.plotqa-prefix.json",
    )
    parser.add_argument(
        "--code-commit",
        required=True,
        help="clean 40-hex commit containing the exact generator implementation.",
    )
    parser.add_argument(
        "--workers",
        type=int,
        default=8,
        help="Ordered generation worker processes (default: 8; output bytes are invariant).",
    )
    args = parser.parse_args(argv)
    try:
        config = load_release_config(args.release_config)
        summary = build_plotqa_release(
            annotations_prefix=args.annotations,
            qa_prefix=args.qa,
            output_dir=args.output,
            pipeline_code_commit=args.code_commit,
            config=config,
            workers=args.workers,
        )
    except (OSError, ValueError, ReleaseError) as exc:
        print(f"{_PROG} build-certified-release: {exc}", file=sys.stderr)
        return 1
    print(json.dumps(summary.__dict__, sort_keys=True))
    return 0


def cmd_replay_certificates(argv: list[str]) -> int:
    from ..certificates.replay import replay_dataset

    parser = argparse.ArgumentParser(prog=f"{_PROG} replay-certificates")
    parser.add_argument("--dataset", type=Path, required=True)
    parser.add_argument("--report", type=Path, default=None)
    parser.add_argument(
        "--workers",
        type=int,
        default=8,
        help="Ordered certificate-replay worker processes (default: 8).",
    )
    args = parser.parse_args(argv)
    try:
        results = replay_dataset(args.dataset, workers=args.workers)
    except (OSError, ValueError) as exc:
        print(f"{_PROG} replay-certificates: {exc}", file=sys.stderr)
        return 1
    failures = [
        {"view_dir": row.view_dir, "errors": list(row.errors)} for row in results if not row.ok
    ]
    report = {
        "dataset": str(args.dataset),
        "view_count": len(results),
        "passed": len(results) - len(failures),
        "failed": len(failures),
        "failures": failures,
    }
    if args.report is not None:
        from ..atomic_io import atomic_write_json

        atomic_write_json(args.report, report)
    print(json.dumps({key: value for key, value in report.items() if key != "failures"}))
    return 1 if failures else 0


# --- multi-domain EVI core release ----------------------------------------


def cmd_build_evi_core_release(argv: list[str]) -> int:
    from ..datasets.evi_core_release import (
        EviCoreReleaseError,
        build_evi_core_release,
        load_evi_core_release_config,
    )

    parser = argparse.ArgumentParser(prog=f"{_PROG} build-evi-core-release")
    parser.add_argument("--plotqa-release", type=Path, required=True)
    parser.add_argument("--gqa-train-questions", type=Path, required=True)
    parser.add_argument("--gqa-train-scene-graphs", type=Path, required=True)
    parser.add_argument("--gqa-val-questions", type=Path, required=True)
    parser.add_argument("--gqa-val-scene-graphs", type=Path, required=True)
    parser.add_argument("--gqa-image-cache", type=Path, required=True)
    parser.add_argument("--clevr-train-questions", type=Path, required=True)
    parser.add_argument("--clevr-train-scenes", type=Path, required=True)
    parser.add_argument("--clevr-val-questions", type=Path, required=True)
    parser.add_argument("--clevr-val-scenes", type=Path, required=True)
    parser.add_argument("--clevr-blender-executable", type=Path, required=True)
    parser.add_argument("--clevr-dataset-gen-root", type=Path, required=True)
    parser.add_argument("--clevr-blender-runtime-library-dir", type=Path, default=None)
    parser.add_argument("--output", type=Path, required=True)
    parser.add_argument(
        "--release-config",
        type=Path,
        default=repo_root() / "configs" / "release.evi-core-v2.json",
    )
    parser.add_argument("--code-commit", required=True)
    parser.add_argument("--workers", type=int, default=8)
    parser.add_argument("--download-workers", type=int, default=24)
    args = parser.parse_args(argv)
    try:
        summary = build_evi_core_release(
            plotqa_release=args.plotqa_release,
            gqa_train_questions=args.gqa_train_questions,
            gqa_train_scene_graphs=args.gqa_train_scene_graphs,
            gqa_val_questions=args.gqa_val_questions,
            gqa_val_scene_graphs=args.gqa_val_scene_graphs,
            gqa_image_cache=args.gqa_image_cache,
            clevr_train_questions=args.clevr_train_questions,
            clevr_train_scenes=args.clevr_train_scenes,
            clevr_val_questions=args.clevr_val_questions,
            clevr_val_scenes=args.clevr_val_scenes,
            clevr_blender_executable=args.clevr_blender_executable,
            clevr_dataset_gen_root=args.clevr_dataset_gen_root,
            clevr_blender_runtime_library_dir=args.clevr_blender_runtime_library_dir,
            output_dir=args.output,
            pipeline_code_commit=args.code_commit,
            config=load_evi_core_release_config(args.release_config),
            workers=args.workers,
            download_workers=args.download_workers,
        )
    except (OSError, ValueError, EviCoreReleaseError) as exc:
        print(f"{_PROG} build-evi-core-release: {exc}", file=sys.stderr)
        return 1
    print(json.dumps(summary.__dict__, sort_keys=True))
    return 0


def cmd_replay_evi_core_release(argv: list[str]) -> int:
    from ..datasets.evi_core_release import replay_evi_core_release

    parser = argparse.ArgumentParser(prog=f"{_PROG} replay-evi-core-release")
    parser.add_argument("--release", type=Path, required=True)
    parser.add_argument("--workers", type=int, default=8)
    parser.add_argument("--report", type=Path, default=None)
    args = parser.parse_args(argv)
    try:
        results = replay_evi_core_release(args.release, workers=args.workers)
    except (OSError, ValueError) as exc:
        print(f"{_PROG} replay-evi-core-release: {exc}", file=sys.stderr)
        return 1
    failures = [
        {"view_dir": row.view_dir, "errors": list(row.errors)} for row in results if not row.ok
    ]
    report = {
        "release": str(args.release),
        "view_count": len(results),
        "passed": len(results) - len(failures),
        "failed": len(failures),
        "failures": failures,
    }
    if args.report is not None:
        from ..atomic_io import atomic_write_json

        atomic_write_json(args.report, report)
    print(json.dumps({key: value for key, value in report.items() if key != "failures"}))
    return 1 if failures else 0


def cmd_validate_evi_core_release(argv: list[str]) -> int:
    from ..datasets.evi_core_release import (
        EviCoreReleaseError,
        validate_evi_core_release,
    )

    parser = argparse.ArgumentParser(prog=f"{_PROG} validate-evi-core-release")
    parser.add_argument("--release", type=Path, required=True)
    args = parser.parse_args(argv)
    try:
        counts = validate_evi_core_release(args.release)
    except (EviCoreReleaseError, OSError, ValueError) as exc:
        print(f"{_PROG} validate-evi-core-release: {exc}", file=sys.stderr)
        return 1
    print(
        json.dumps(
            {
                "release": str(args.release),
                "group_counts": counts,
                "validation_mode": "structural_no_content_hash_replay",
            },
            sort_keys=True,
        )
    )
    return 0


_IMPLEMENTATIONS = {
    "freeze-eval": cmd_freeze_eval,
    "ingest": cmd_ingest,
    "fingerprint": cmd_fingerprint,
    "decontaminate": cmd_decontaminate,
    "scan-plotqa-prefix": cmd_scan_plotqa_prefix,
    "build-certified-release": cmd_build_certified_release,
    "replay-certificates": cmd_replay_certificates,
    "build-evi-core-release": cmd_build_evi_core_release,
    "replay-evi-core-release": cmd_replay_evi_core_release,
    "validate-evi-core-release": cmd_validate_evi_core_release,
}


def main(argv: list[str] | None = None) -> int:
    if argv is None:
        argv = sys.argv[1:]
    return dispatch(_PROG, argv, _SUBCOMMANDS, _IMPLEMENTATIONS)


if __name__ == "__main__":
    raise SystemExit(main())