Hatch Pet

interface:
  display_name: "Hatch Pet"
  short_description: "Hatch Codex-compatible animated pet spritesheets"
  default_prompt: "Hatch a Codex-compatible animated pet from a concept, reference images, or both. Infer missing names/descriptions, use $imagegen for the base and grounded row strips, generate running-right before deciding whether running-left can be safely mirrored, then use this skill's deterministic scripts to ingest outputs, validate frames, assemble the spritesheet, and package the pet under ${CODEX_HOME:-$HOME/.codex}/pets/<pet-name>/."

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#!/usr/bin/env python3
"""Compose or normalize a Codex pet spritesheet atlas."""

from __future__ import annotations

import argparse
from pathlib import Path

from PIL import Image

COLUMNS = 8
ROWS = 9
CELL_WIDTH = 192
CELL_HEIGHT = 208
ATLAS_WIDTH = COLUMNS * CELL_WIDTH
ATLAS_HEIGHT = ROWS * CELL_HEIGHT
ATLAS_ASPECT_RATIO = ATLAS_WIDTH / ATLAS_HEIGHT
ROW_SPECS = [
    ("idle", 0, 6),
    ("running-right", 1, 8),
    ("running-left", 2, 8),
    ("waving", 3, 4),
    ("jumping", 4, 5),
    ("failed", 5, 8),
    ("waiting", 6, 6),
    ("running", 7, 6),
    ("review", 8, 6),
]
IMAGE_SUFFIXES = {".png", ".webp", ".jpg", ".jpeg"}


def image_files(path: Path) -> list[Path]:
    return sorted(p for p in path.iterdir() if p.suffix.lower() in IMAGE_SUFFIXES)


def find_row_frames(root: Path, state: str, row_index: int) -> list[Path]:
    candidates = [
        root / state,
        root / f"row-{row_index}",
        root / f"row{row_index}",
        root / f"{row_index}-{state}",
    ]
    for candidate in candidates:
        if candidate.is_dir():
            files = image_files(candidate)
            if files:
                return files
    globs = [
        f"{state}_*",
        f"{state}-*",
        f"row{row_index}_*",
        f"row-{row_index}-*",
    ]
    files: list[Path] = []
    for pattern in globs:
        files.extend(p for p in root.glob(pattern) if p.suffix.lower() in IMAGE_SUFFIXES)
    return sorted(set(files))


def paste_centered(atlas: Image.Image, source: Image.Image, row: int, column: int) -> None:
    frame = source.convert("RGBA")
    if frame.size != (CELL_WIDTH, CELL_HEIGHT):
        frame.thumbnail((CELL_WIDTH, CELL_HEIGHT), Image.Resampling.LANCZOS)
    left = column * CELL_WIDTH + (CELL_WIDTH - frame.width) // 2
    top = row * CELL_HEIGHT + (CELL_HEIGHT - frame.height) // 2
    atlas.alpha_composite(frame, (left, top))


def compose_from_source_atlas(path: Path, resize_source: bool) -> Image.Image:
    with Image.open(path) as opened:
        source = opened.convert("RGBA")
    if source.size != (ATLAS_WIDTH, ATLAS_HEIGHT):
        if not resize_source:
            raise SystemExit(
                f"source atlas must be {ATLAS_WIDTH}x{ATLAS_HEIGHT}; got {source.width}x{source.height}"
            )
        source_ratio = source.width / source.height
        if abs(source_ratio - ATLAS_ASPECT_RATIO) > 0.02:
            raise SystemExit(
                "refusing to resize source atlas because its aspect ratio does not match "
                f"the Codex atlas ratio {ATLAS_ASPECT_RATIO:.3f}; got {source_ratio:.3f}. "
                "Generate exact atlas dimensions or use --frames-root."
            )
        source = source.resize((ATLAS_WIDTH, ATLAS_HEIGHT), Image.Resampling.LANCZOS)

    atlas = Image.new("RGBA", (ATLAS_WIDTH, ATLAS_HEIGHT), (0, 0, 0, 0))
    for _state, row, frame_count in ROW_SPECS:
        for column in range(frame_count):
            left = column * CELL_WIDTH
            top = row * CELL_HEIGHT
            cell = source.crop((left, top, left + CELL_WIDTH, top + CELL_HEIGHT))
            atlas.alpha_composite(cell, (left, top))
    return atlas


def compose_from_frames(root: Path) -> Image.Image:
    atlas = Image.new("RGBA", (ATLAS_WIDTH, ATLAS_HEIGHT), (0, 0, 0, 0))
    for state, row, frame_count in ROW_SPECS:
        files = find_row_frames(root, state, row)
        if len(files) < frame_count:
            raise SystemExit(
                f"{state} row needs {frame_count} frames, found {len(files)} under {root}"
            )
        for column, frame_path in enumerate(files[:frame_count]):
            with Image.open(frame_path) as frame:
                paste_centered(atlas, frame, row, column)
    return atlas


def save_outputs(atlas: Image.Image, output: Path, webp_output: Path | None) -> None:
    output.parent.mkdir(parents=True, exist_ok=True)
    atlas.save(output)
    if webp_output is not None:
        webp_output.parent.mkdir(parents=True, exist_ok=True)
        atlas.save(webp_output, format="WEBP", lossless=True, quality=100, method=6)


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    source = parser.add_mutually_exclusive_group(required=True)
    source.add_argument("--source-atlas")
    source.add_argument("--frames-root")
    parser.add_argument("--output", required=True)
    parser.add_argument("--webp-output")
    parser.add_argument(
        "--resize-source",
        action="store_true",
        help="Resize a lower-resolution source atlas only when it already has the Codex atlas aspect ratio.",
    )
    args = parser.parse_args()

    if args.source_atlas:
        atlas = compose_from_source_atlas(
            Path(args.source_atlas).expanduser().resolve(), args.resize_source
        )
    else:
        atlas = compose_from_frames(Path(args.frames_root).expanduser().resolve())

    save_outputs(
        atlas,
        Path(args.output).expanduser().resolve(),
        Path(args.webp_output).expanduser().resolve() if args.webp_output else None,
    )
    print(f"wrote {Path(args.output).expanduser().resolve()}")
    if args.webp_output:
        print(f"wrote {Path(args.webp_output).expanduser().resolve()}")


if __name__ == "__main__":
    main()

#!/usr/bin/env python3
"""Conditionally derive running-left by mirroring the approved running-right strip."""

from __future__ import annotations

import argparse
import hashlib
import json
from datetime import datetime, timezone
from pathlib import Path

from PIL import Image, ImageOps


def load_manifest(run_dir: Path) -> dict[str, object]:
    path = run_dir / "imagegen-jobs.json"
    if not path.exists():
        raise SystemExit(f"job manifest not found: {path}")
    return json.loads(path.read_text(encoding="utf-8"))


def job_list(manifest: dict[str, object]) -> list[dict[str, object]]:
    jobs = manifest.get("jobs")
    if not isinstance(jobs, list):
        raise SystemExit("invalid imagegen-jobs.json: jobs must be a list")
    return [job for job in jobs if isinstance(job, dict)]


def find_job(manifest: dict[str, object], job_id: str) -> dict[str, object]:
    for job in job_list(manifest):
        if job.get("id") == job_id:
            return job
    raise SystemExit(f"unknown job id: {job_id}")


def file_sha256(path: Path) -> str:
    digest = hashlib.sha256()
    with path.open("rb") as file:
        for chunk in iter(lambda: file.read(1024 * 1024), b""):
            digest.update(chunk)
    return digest.hexdigest()


def image_metadata(path: Path) -> dict[str, object]:
    with Image.open(path) as image:
        image.verify()
    with Image.open(path) as image:
        return {
            "width": image.width,
            "height": image.height,
            "mode": image.mode,
            "format": image.format,
        }


def manifest_relative(path: Path, run_dir: Path) -> str:
    return str(path.resolve().relative_to(run_dir.resolve()))


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--run-dir", required=True)
    parser.add_argument(
        "--confirm-appropriate-mirror",
        action="store_true",
        help="Required after visually confirming the rightward strip can be mirrored without identity/prop issues.",
    )
    parser.add_argument(
        "--decision-note",
        required=True,
        help="Short note explaining why mirroring is acceptable for this pet.",
    )
    parser.add_argument("--force", action="store_true")
    args = parser.parse_args()

    if not args.confirm_appropriate_mirror:
        raise SystemExit("refusing to mirror without --confirm-appropriate-mirror")
    if not args.decision_note.strip():
        raise SystemExit("--decision-note must explain why mirroring is appropriate")

    run_dir = Path(args.run_dir).expanduser().resolve()
    manifest_path = run_dir / "imagegen-jobs.json"
    manifest = load_manifest(run_dir)
    right_job = find_job(manifest, "running-right")
    left_job = find_job(manifest, "running-left")

    if right_job.get("status") != "complete":
        raise SystemExit("running-right must be complete before deriving running-left")
    mirror_policy = left_job.get("mirror_policy")
    if not isinstance(mirror_policy, dict) or mirror_policy.get("may_derive_from") != "running-right":
        raise SystemExit("running-left is not configured for conditional mirroring")

    source = run_dir / "decoded" / "running-right.png"
    output = run_dir / "decoded" / "running-left.png"
    if not source.is_file():
        raise SystemExit(f"running-right decoded strip not found: {source}")
    if output.exists() and not args.force:
        raise SystemExit(f"{output} already exists; pass --force to replace it")

    output.parent.mkdir(parents=True, exist_ok=True)
    with Image.open(source) as image:
        mirrored = ImageOps.mirror(image.convert("RGBA"))
        mirrored.save(output)

    left_job["status"] = "complete"
    left_job["source_path"] = manifest_relative(source, run_dir)
    left_job["source_provenance"] = "deterministic-mirror"
    left_job["derived_from"] = "running-right"
    left_job["source_sha256"] = file_sha256(source)
    left_job["output_sha256"] = file_sha256(output)
    left_job["completed_at"] = datetime.now(timezone.utc).isoformat()
    left_job["metadata"] = image_metadata(output)
    left_job["mirror_decision"] = {
        "approved": True,
        "approved_at": left_job["completed_at"],
        "note": args.decision_note.strip(),
    }
    for key in [
        "last_error",
        "secondary_fallback",
        "synthetic_test_source",
        "repair_reason",
        "queued_at",
    ]:
        left_job.pop(key, None)

    manifest_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8")
    print(
        json.dumps(
            {
                "ok": True,
                "job_id": "running-left",
                "derived_from": "running-right",
                "output": str(output),
                "decision_note": args.decision_note.strip(),
            },
            indent=2,
        )
    )


if __name__ == "__main__":
    main()

#!/usr/bin/env python3
"""Extract generated horizontal row strips into 192x208 sprite frames."""

from __future__ import annotations

import argparse
import json
import math
import re
from pathlib import Path

from PIL import Image

CELL_WIDTH = 192
CELL_HEIGHT = 208
ROW_FRAME_COUNTS = {
    "idle": 6,
    "running-right": 8,
    "running-left": 8,
    "waving": 4,
    "jumping": 5,
    "failed": 8,
    "waiting": 6,
    "running": 6,
    "review": 6,
}


def parse_states(raw: str) -> list[str]:
    if raw.strip().lower() == "all":
        return list(ROW_FRAME_COUNTS)
    states = [item.strip() for item in raw.split(",") if item.strip()]
    unknown = sorted(set(states) - set(ROW_FRAME_COUNTS))
    if unknown:
        raise SystemExit(f"unknown state(s): {', '.join(unknown)}")
    return states


def parse_hex_color(value: str) -> tuple[int, int, int]:
    if not re.fullmatch(r"#[0-9a-fA-F]{6}", value):
        raise SystemExit(f"invalid chroma key color: {value}; expected #RRGGBB")
    return tuple(int(value[index : index + 2], 16) for index in (1, 3, 5))


def load_chroma_key(decoded_dir: Path, override: str | None) -> tuple[int, int, int]:
    if override:
        return parse_hex_color(override)
    request_path = decoded_dir.parent / "pet_request.json"
    if request_path.is_file():
        request = json.loads(request_path.read_text(encoding="utf-8"))
        chroma_key = request.get("chroma_key")
        if isinstance(chroma_key, dict) and isinstance(chroma_key.get("hex"), str):
            return parse_hex_color(chroma_key["hex"])
    return parse_hex_color("#00FF00")


def color_distance(
    red: int,
    green: int,
    blue: int,
    key: tuple[int, int, int],
) -> float:
    return math.sqrt((red - key[0]) ** 2 + (green - key[1]) ** 2 + (blue - key[2]) ** 2)


def remove_chroma_background(
    image: Image.Image,
    chroma_key: tuple[int, int, int],
    threshold: float,
) -> Image.Image:
    rgba = image.convert("RGBA")
    pixels = rgba.load()
    for y in range(rgba.height):
        for x in range(rgba.width):
            red, green, blue, alpha = pixels[x, y]
            if color_distance(red, green, blue, chroma_key) <= threshold:
                pixels[x, y] = (red, green, blue, 0)
    return rgba


def fit_to_cell(image: Image.Image) -> Image.Image:
    bbox = image.getbbox()
    target = Image.new("RGBA", (CELL_WIDTH, CELL_HEIGHT), (0, 0, 0, 0))
    if bbox is None:
        return target

    sprite = image.crop(bbox)
    max_width = CELL_WIDTH - 10
    max_height = CELL_HEIGHT - 10
    scale = min(max_width / sprite.width, max_height / sprite.height, 1.0)
    if scale != 1.0:
        sprite = sprite.resize(
            (max(1, round(sprite.width * scale)), max(1, round(sprite.height * scale))),
            Image.Resampling.LANCZOS,
        )
    left = (CELL_WIDTH - sprite.width) // 2
    top = (CELL_HEIGHT - sprite.height) // 2
    target.alpha_composite(sprite, (left, top))
    return target


def connected_components(image: Image.Image) -> list[dict[str, object]]:
    alpha = image.getchannel("A")
    width, height = image.size
    data = alpha.tobytes()
    visited = bytearray(width * height)
    components: list[dict[str, object]] = []

    for start, alpha_value in enumerate(data):
        if alpha_value <= 16 or visited[start]:
            continue

        stack = [start]
        visited[start] = 1
        pixels: list[int] = []
        min_x = width
        min_y = height
        max_x = 0
        max_y = 0

        while stack:
            current = stack.pop()
            pixels.append(current)
            x = current % width
            y = current // width
            min_x = min(min_x, x)
            min_y = min(min_y, y)
            max_x = max(max_x, x)
            max_y = max(max_y, y)

            if x > 0:
                neighbor = current - 1
                if not visited[neighbor] and data[neighbor] > 16:
                    visited[neighbor] = 1
                    stack.append(neighbor)
            if x + 1 < width:
                neighbor = current + 1
                if not visited[neighbor] and data[neighbor] > 16:
                    visited[neighbor] = 1
                    stack.append(neighbor)
            if y > 0:
                neighbor = current - width
                if not visited[neighbor] and data[neighbor] > 16:
                    visited[neighbor] = 1
                    stack.append(neighbor)
            if y + 1 < height:
                neighbor = current + width
                if not visited[neighbor] and data[neighbor] > 16:
                    visited[neighbor] = 1
                    stack.append(neighbor)

        components.append(
            {
                "pixels": pixels,
                "area": len(pixels),
                "bbox": (min_x, min_y, max_x + 1, max_y + 1),
                "center_x": (min_x + max_x + 1) / 2,
            }
        )

    return components


def component_group_image(
    source: Image.Image,
    components: list[dict[str, object]],
    padding: int = 4,
) -> Image.Image:
    width, height = source.size
    min_x = max(0, min(component["bbox"][0] for component in components) - padding)
    min_y = max(0, min(component["bbox"][1] for component in components) - padding)
    max_x = min(width, max(component["bbox"][2] for component in components) + padding)
    max_y = min(height, max(component["bbox"][3] for component in components) + padding)

    output = Image.new("RGBA", (max_x - min_x, max_y - min_y), (0, 0, 0, 0))
    source_pixels = source.load()
    output_pixels = output.load()
    for component in components:
        for pixel_index in component["pixels"]:
            x = pixel_index % width
            y = pixel_index // width
            output_pixels[x - min_x, y - min_y] = source_pixels[x, y]
    return output


def extract_component_frames(strip: Image.Image, frame_count: int) -> list[Image.Image] | None:
    components = connected_components(strip)
    if not components:
        return None

    largest_area = max(component["area"] for component in components)
    seed_threshold = max(120, largest_area * 0.20)
    seeds = [component for component in components if component["area"] >= seed_threshold]
    if len(seeds) < frame_count:
        seeds = sorted(components, key=lambda component: component["area"], reverse=True)[
            :frame_count
        ]
    if len(seeds) < frame_count:
        return None

    seeds = sorted(
        sorted(seeds, key=lambda component: component["area"], reverse=True)[:frame_count],
        key=lambda component: component["center_x"],
    )
    seed_ids = {id(seed) for seed in seeds}
    groups: list[list[dict[str, object]]] = [[seed] for seed in seeds]
    noise_threshold = max(12, largest_area * 0.002)

    for component in components:
        if id(component) in seed_ids or component["area"] < noise_threshold:
            continue
        nearest_index = min(
            range(len(seeds)),
            key=lambda index: abs(seeds[index]["center_x"] - component["center_x"]),
        )
        groups[nearest_index].append(component)

    return [fit_to_cell(component_group_image(strip, group)) for group in groups]


def extract_slot_frames(strip: Image.Image, frame_count: int) -> list[Image.Image]:
    slot_width = strip.width / frame_count
    frames = []
    for index in range(frame_count):
        left = round(index * slot_width)
        right = round((index + 1) * slot_width)
        crop = strip.crop((left, 0, right, strip.height))
        frames.append(fit_to_cell(crop))
    return frames


def extract_state(
    strip_path: Path,
    state: str,
    output_root: Path,
    chroma_key: tuple[int, int, int],
    threshold: float,
    method: str,
) -> dict[str, object]:
    frame_count = ROW_FRAME_COUNTS[state]
    with Image.open(strip_path) as opened:
        strip = remove_chroma_background(opened, chroma_key, threshold)

    state_dir = output_root / state
    state_dir.mkdir(parents=True, exist_ok=True)

    frames = None
    used_method = method
    if method in {"auto", "components"}:
        frames = extract_component_frames(strip, frame_count)
        if frames is None and method == "components":
            raise SystemExit(f"could not find {frame_count} sprite components in {strip_path}")
        if frames is not None:
            used_method = "components"

    if frames is None:
        frames = extract_slot_frames(strip, frame_count)
        used_method = "slots"

    outputs = []
    for index, frame in enumerate(frames):
        output = state_dir / f"{index:02d}.png"
        frame.save(output)
        outputs.append(str(output))
    return {"state": state, "frames": outputs, "method": used_method}


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--decoded-dir", required=True)
    parser.add_argument("--output-dir", required=True)
    parser.add_argument("--states", default="all")
    parser.add_argument("--chroma-key", help="Override chroma key as #RRGGBB.")
    parser.add_argument("--key-threshold", type=float, default=96.0)
    parser.add_argument(
        "--method",
        choices=("auto", "components", "slots"),
        default="auto",
        help="Use connected sprite components when possible, or fixed equal slots.",
    )
    args = parser.parse_args()

    decoded_dir = Path(args.decoded_dir).expanduser().resolve()
    output_dir = Path(args.output_dir).expanduser().resolve()
    chroma_key = load_chroma_key(decoded_dir, args.chroma_key)
    states = parse_states(args.states)
    manifest = []
    for state in states:
        strip_path = decoded_dir / f"{state}.png"
        if not strip_path.is_file():
            raise SystemExit(f"missing generated strip for {state}: {strip_path}")
        manifest.append(
            extract_state(
                strip_path,
                state,
                output_dir,
                chroma_key,
                args.key_threshold,
                args.method,
            )
        )

    (output_dir / "frames-manifest.json").write_text(
        json.dumps(
            {
                "ok": True,
                "chroma_key": {
                    "hex": f"#{chroma_key[0]:02X}{chroma_key[1]:02X}{chroma_key[2]:02X}",
                    "rgb": list(chroma_key),
                    "threshold": args.key_threshold,
                },
                "rows": manifest,
            },
            indent=2,
        )
        + "\n",
        encoding="utf-8",
    )
    print(json.dumps({"ok": True, "frames_root": str(output_dir), "states": states}, indent=2))


if __name__ == "__main__":
    main()

#!/usr/bin/env python3
"""Finalize a Codex pet run after all imagegen jobs are complete."""

from __future__ import annotations

import argparse
import hashlib
import json
import os
import subprocess
import sys
from pathlib import Path

from PIL import Image, ImageOps


def run(command: list[str], *, check: bool = True) -> subprocess.CompletedProcess[str]:
    print("+ " + " ".join(command))
    return subprocess.run(command, check=check, text=True)


def load_json(path: Path) -> dict[str, object]:
    return json.loads(path.read_text(encoding="utf-8"))


def file_sha256(path: Path) -> str:
    digest = hashlib.sha256()
    with path.open("rb") as file:
        for chunk in iter(lambda: file.read(1024 * 1024), b""):
            digest.update(chunk)
    return digest.hexdigest()


def is_relative_to(path: Path, root: Path) -> bool:
    try:
        path.relative_to(root)
    except ValueError:
        return False
    return True


def default_generated_images_root() -> Path:
    return default_codex_home() / "generated_images"


def default_codex_home() -> Path:
    return Path(os.environ.get("CODEX_HOME") or "~/.codex").expanduser().resolve()


def manifest_path(raw: object, *, run_dir: Path, field: str, job_id: str) -> Path:
    if not isinstance(raw, str) or not raw:
        raise SystemExit(f"job {job_id} has no {field}")
    path = Path(raw).expanduser()
    if not path.is_absolute():
        path = run_dir / path
    return path.resolve()


def validate_hash(job: dict[str, object], *, source: Path, output: Path, job_id: str) -> None:
    expected_hash = job.get("source_sha256")
    if not isinstance(expected_hash, str) or not expected_hash:
        raise SystemExit(
            f"job {job_id} is missing source_sha256; ingest visual outputs with "
            "record_imagegen_result.py instead of editing imagegen-jobs.json"
        )
    if not source.is_file():
        raise SystemExit(f"job {job_id} source image no longer exists: {source}")
    if not output.is_file():
        raise SystemExit(f"job {job_id} decoded output is missing: {output}")
    source_hash = file_sha256(source)
    output_hash = file_sha256(output)
    if source_hash != expected_hash:
        raise SystemExit(f"job {job_id} source image hash does not match imagegen-jobs.json")
    if output_hash != expected_hash:
        raise SystemExit(
            f"job {job_id} decoded output does not match its recorded source image; "
            "do not rewrite decoded visual outputs locally"
        )


def validate_mirror_hash(job: dict[str, object], *, source: Path, output: Path, job_id: str) -> None:
    if job_id != "running-left":
        raise SystemExit(f"job {job_id} may not use deterministic mirror provenance")
    if job.get("derived_from") != "running-right":
        raise SystemExit("running-left mirror job must derive from running-right")
    decision = job.get("mirror_decision")
    if not isinstance(decision, dict) or decision.get("approved") is not True:
        raise SystemExit(
            "running-left mirror job is missing an approved mirror_decision; "
            "use derive_running_left_from_running_right.py after visual review"
        )

    expected_source_hash = job.get("source_sha256")
    expected_output_hash = job.get("output_sha256")
    if not isinstance(expected_source_hash, str) or not expected_source_hash:
        raise SystemExit("running-left mirror job is missing source_sha256")
    if not isinstance(expected_output_hash, str) or not expected_output_hash:
        raise SystemExit("running-left mirror job is missing output_sha256")
    if not source.is_file():
        raise SystemExit(f"running-left mirror source image no longer exists: {source}")
    if not output.is_file():
        raise SystemExit(f"running-left mirrored output is missing: {output}")
    if source.name != "running-right.png" or source.parent.name != "decoded":
        raise SystemExit("running-left mirror source must be decoded/running-right.png")
    if output.name != "running-left.png" or output.parent.name != "decoded":
        raise SystemExit("running-left mirror output must be decoded/running-left.png")
    if file_sha256(source) != expected_source_hash:
        raise SystemExit("running-left mirror source hash does not match imagegen-jobs.json")
    if file_sha256(output) != expected_output_hash:
        raise SystemExit(
            "running-left mirrored output hash does not match imagegen-jobs.json; "
            "rerun derive_running_left_from_running_right.py"
        )
    with Image.open(source) as source_image, Image.open(output) as output_image:
        expected = ImageOps.mirror(source_image.convert("RGBA"))
        actual = output_image.convert("RGBA")
        if expected.size != actual.size or expected.tobytes() != actual.tobytes():
            raise SystemExit(
                "running-left mirrored output is not an exact horizontal mirror of running-right"
            )


def validate_completed_job_source(
    job: dict[str, object],
    *,
    run_dir: Path,
    allow_synthetic_test_sources: bool,
) -> None:
    job_id = str(job.get("id") or "")
    source = manifest_path(job.get("source_path"), run_dir=run_dir, field="source_path", job_id=job_id)
    output = manifest_path(job.get("output_path"), run_dir=run_dir, field="output_path", job_id=job_id)

    blocked_flags = [
        flag
        for flag in ("deterministic_pet_row", "cute_raster_row", "local_raster_row")
        if job.get(flag)
    ]
    if blocked_flags:
        raise SystemExit(
            f"job {job_id} was marked as a local/synthetic row ({', '.join(blocked_flags)}); "
            "regenerate it with $imagegen"
        )

    if job.get("synthetic_test_source"):
        if not allow_synthetic_test_sources:
            raise SystemExit(
                f"job {job_id} uses a synthetic test source; rerun with real $imagegen output"
            )
        validate_hash(job, source=source, output=output, job_id=job_id)
        return

    if job.get("secondary_fallback"):
        if job.get("source_provenance") != "secondary-fallback-image-api":
            raise SystemExit(f"job {job_id} has invalid secondary fallback provenance")
        validate_hash(job, source=source, output=output, job_id=job_id)
        return

    if job.get("source_provenance") == "deterministic-mirror":
        validate_mirror_hash(job, source=source, output=output, job_id=job_id)
        return

    if job.get("source_provenance") != "built-in-imagegen":
        raise SystemExit(
            f"job {job_id} was not recorded as a built-in $imagegen output; "
            "use record_imagegen_result.py with the selected $CODEX_HOME/generated_images/.../ig_*.png file"
        )
    if is_relative_to(source, run_dir):
        raise SystemExit(
            f"job {job_id} source image is inside the pet run directory; "
            "do not use locally generated row artifacts as visual sources"
        )
    generated_root = default_generated_images_root()
    if not is_relative_to(source, generated_root) or not source.name.startswith("ig_"):
        raise SystemExit(
            f"job {job_id} source image is not a built-in $imagegen output under "
            f"{generated_root}/.../ig_*.png"
        )
    validate_hash(job, source=source, output=output, job_id=job_id)


def require_complete_jobs(run_dir: Path, *, allow_synthetic_test_sources: bool) -> None:
    manifest_path = run_dir / "imagegen-jobs.json"
    manifest = load_json(manifest_path)
    jobs = manifest.get("jobs")
    if not isinstance(jobs, list):
        raise SystemExit("invalid imagegen-jobs.json: jobs must be a list")
    incomplete = [
        str(job.get("id"))
        for job in jobs
        if isinstance(job, dict) and job.get("status", "pending") != "complete"
    ]
    if incomplete:
        raise SystemExit(
            "imagegen jobs are not complete; run pet_job_status.py and finish: "
            + ", ".join(incomplete)
        )
    for job in jobs:
        if isinstance(job, dict):
            validate_completed_job_source(
                job,
                run_dir=run_dir,
                allow_synthetic_test_sources=allow_synthetic_test_sources,
            )


def review_failures(review: dict[str, object]) -> list[str]:
    rows = review.get("rows")
    if not isinstance(rows, list):
        return ["review did not contain row-level results"]
    failures = []
    for row in rows:
        if not isinstance(row, dict):
            continue
        errors = row.get("errors")
        if isinstance(errors, list) and errors:
            failures.append(f"{row.get('state')}: {'; '.join(str(error) for error in errors)}")
    return failures


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--run-dir", required=True)
    parser.add_argument("--allow-slot-extraction", action="store_true")
    parser.add_argument("--skip-videos", action="store_true")
    parser.add_argument("--skip-package", action="store_true")
    parser.add_argument(
        "--package-dir",
        default="",
        help="Exact pet package directory. Defaults to ${CODEX_HOME:-$HOME/.codex}/pets/<pet-name>.",
    )
    parser.add_argument("--ffmpeg", default="")
    parser.add_argument("--allow-synthetic-test-sources", action="store_true", help=argparse.SUPPRESS)
    args = parser.parse_args()

    scripts_dir = Path(__file__).resolve().parent
    run_dir = Path(args.run_dir).expanduser().resolve()
    request = load_json(run_dir / "pet_request.json")
    pet_id = str(request.get("pet_id") or "")
    display_name = str(request.get("display_name") or "")
    description = str(request.get("description") or "")
    if not pet_id or not display_name or not description:
        raise SystemExit("pet_request.json is missing pet_id, display_name, or description")

    require_complete_jobs(
        run_dir,
        allow_synthetic_test_sources=args.allow_synthetic_test_sources,
    )

    final_dir = run_dir / "final"
    qa_dir = run_dir / "qa"
    final_dir.mkdir(parents=True, exist_ok=True)
    qa_dir.mkdir(parents=True, exist_ok=True)

    run(
        [
            sys.executable,
            str(scripts_dir / "extract_strip_frames.py"),
            "--decoded-dir",
            str(run_dir / "decoded"),
            "--output-dir",
            str(run_dir / "frames"),
            "--states",
            "all",
            "--method",
            "auto",
        ]
    )

    review_path = qa_dir / "review.json"
    inspect_command = [
        sys.executable,
        str(scripts_dir / "inspect_frames.py"),
        "--frames-root",
        str(run_dir / "frames"),
        "--json-out",
        str(review_path),
    ]
    if not args.allow_slot_extraction:
        inspect_command.append("--require-components")
    run(inspect_command, check=False)
    review = load_json(review_path)
    if not review.get("ok"):
        failures = review_failures(review)
        print(
            json.dumps(
                {
                    "ok": False,
                    "review": str(review_path),
                    "repair_hint": "Run queue_pet_repairs.py, regenerate the reopened row jobs with $imagegen, then finalize again.",
                    "failures": failures,
                },
                indent=2,
            )
        )
        raise SystemExit(1)

    run(
        [
            sys.executable,
            str(scripts_dir / "compose_atlas.py"),
            "--frames-root",
            str(run_dir / "frames"),
            "--output",
            str(final_dir / "spritesheet.png"),
            "--webp-output",
            str(final_dir / "spritesheet.webp"),
        ]
    )
    run(
        [
            sys.executable,
            str(scripts_dir / "validate_atlas.py"),
            str(final_dir / "spritesheet.webp"),
            "--json-out",
            str(final_dir / "validation.json"),
        ]
    )
    run(
        [
            sys.executable,
            str(scripts_dir / "make_contact_sheet.py"),
            str(final_dir / "spritesheet.webp"),
            "--output",
            str(qa_dir / "contact-sheet.png"),
        ]
    )

    if not args.skip_videos:
        video_command = [
            sys.executable,
            str(scripts_dir / "render_animation_videos.py"),
            str(final_dir / "spritesheet.webp"),
            "--output-dir",
            str(qa_dir / "videos"),
        ]
        if args.ffmpeg:
            video_command.extend(["--ffmpeg", args.ffmpeg])
        run(video_command)

    if not args.skip_package:
        package_command = [
            sys.executable,
            str(scripts_dir / "package_custom_pet.py"),
            "--pet-name",
            pet_id,
            "--display-name",
            display_name,
            "--description",
            description,
            "--spritesheet",
            str(final_dir / "spritesheet.webp"),
            "--force",
        ]
        if args.package_dir:
            package_command.extend(["--output-dir", str(Path(args.package_dir).expanduser().resolve())])
        run(package_command)

    package_dir = None
    if not args.skip_package:
        package_dir = (
            Path(args.package_dir).expanduser().resolve()
            if args.package_dir
            else default_codex_home() / "pets" / pet_id
        )

    summary = {
        "ok": True,
        "run_dir": str(run_dir),
        "spritesheet": str(final_dir / "spritesheet.webp"),
        "validation": str(final_dir / "validation.json"),
        "contact_sheet": str(qa_dir / "contact-sheet.png"),
        "review": str(review_path),
        "videos": None if args.skip_videos else str(qa_dir / "videos"),
        "package": None if package_dir is None else str(package_dir),
    }
    summary_path = qa_dir / "run-summary.json"
    summary_path.write_text(json.dumps(summary, indent=2) + "\n", encoding="utf-8")
    print(json.dumps(summary, indent=2))


if __name__ == "__main__":
    main()

#!/usr/bin/env python3
"""Secondary image generation fallback for Codex pet base art and row strips."""

from __future__ import annotations

import argparse
import base64
import hashlib
import json
import os
import shutil
import urllib.request
import uuid
from datetime import datetime, timezone
from pathlib import Path

ALL_STATES = [
    "idle",
    "running-right",
    "running-left",
    "waving",
    "jumping",
    "failed",
    "waiting",
    "running",
    "review",
]
CANONICAL_BASE_PATH = "references/canonical-base.png"


def parse_states(raw: str) -> list[str]:
    if raw.strip().lower() == "all":
        return ALL_STATES
    states = [item.strip() for item in raw.split(",") if item.strip()]
    unknown = sorted(set(states) - set(ALL_STATES))
    if unknown:
        raise SystemExit(f"unknown state(s): {', '.join(unknown)}")
    return states


def load_manifest(run_dir: Path) -> dict[str, object]:
    path = run_dir / "imagegen-jobs.json"
    if not path.exists():
        raise SystemExit(f"job manifest not found: {path}")
    return json.loads(path.read_text(encoding="utf-8"))


def manifest_jobs(manifest: dict[str, object]) -> list[dict[str, object]]:
    jobs = manifest.get("jobs")
    if not isinstance(jobs, list):
        raise SystemExit("invalid imagegen-jobs.json: jobs must be a list")
    return [job for job in jobs if isinstance(job, dict)]


def select_jobs(
    manifest: dict[str, object],
    *,
    states: list[str],
    skip_base: bool,
    job_ids: list[str],
) -> list[dict[str, object]]:
    selected_ids = set(job_ids)
    if not selected_ids:
        if not skip_base:
            selected_ids.add("base")
        selected_ids.update(states)
    selected = [job for job in manifest_jobs(manifest) if job.get("id") in selected_ids]
    missing = selected_ids - {str(job.get("id")) for job in selected}
    if missing:
        raise SystemExit(f"unknown job id(s): {', '.join(sorted(missing))}")
    return selected


def _multipart_body(fields: list[tuple]) -> tuple[bytes, str]:
    boundary = uuid.uuid4().hex
    parts = []
    for name, value in fields:
        if isinstance(value, tuple):
            fname, data, ct = value
            parts.append(
                f'--{boundary}\r\nContent-Disposition: form-data; name="{name}"; filename="{fname}"\r\nContent-Type: {ct}\r\n\r\n'.encode()
                + data + b"\r\n"
            )
        else:
            parts.append(f'--{boundary}\r\nContent-Disposition: form-data; name="{name}"\r\n\r\n{value}\r\n'.encode())
    parts.append(f"--{boundary}--\r\n".encode())
    return b"".join(parts), f"multipart/form-data; boundary={boundary}"


def run_image_edit(
    *,
    model: str,
    prompt_file: Path,
    image_paths: list[Path],
    output_json: Path,
    size: str,
    api_key: str,
) -> dict[str, object]:
    output_json.parent.mkdir(parents=True, exist_ok=True)
    fields: list[tuple] = [("model", model)]
    for image_path in image_paths:
        fields.append(("image[]", (image_path.name, image_path.read_bytes(), "image/png")))
    fields.extend([
        ("prompt", prompt_file.read_text(encoding="utf-8")),
        ("size", size),
        ("output_format", "png"),
    ])
    body, content_type = _multipart_body(fields)
    req = urllib.request.Request(
        "https://api.openai.com/v1/images/edits",
        data=body,
        headers={"Authorization": f"Bearer {api_key}", "Content-Type": content_type},
        method="POST",
    )
    with urllib.request.urlopen(req, timeout=300) as resp:
        output_json.write_bytes(resp.read())
    response = json.loads(output_json.read_text(encoding="utf-8"))
    if response.get("error"):
        raise SystemExit(json.dumps(response["error"], indent=2))
    return response


def run_image_generation(
    *,
    model: str,
    prompt_file: Path,
    output_json: Path,
    size: str,
    api_key: str,
) -> dict[str, object]:
    output_json.parent.mkdir(parents=True, exist_ok=True)
    payload = json.dumps({
        "model": model,
        "prompt": prompt_file.read_text(encoding="utf-8"),
        "size": size,
        "output_format": "png",
    }).encode()
    req = urllib.request.Request(
        "https://api.openai.com/v1/images/generations",
        data=payload,
        headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
        method="POST",
    )
    with urllib.request.urlopen(req, timeout=300) as resp:
        output_json.write_bytes(resp.read())
    response = json.loads(output_json.read_text(encoding="utf-8"))
    if response.get("error"):
        raise SystemExit(json.dumps(response["error"], indent=2))
    return response


def decode_response(response: dict[str, object], output_image: Path) -> None:
    data = response.get("data")
    if not isinstance(data, list) or not data:
        raise SystemExit("image API response did not contain data[0]")
    first = data[0]
    if not isinstance(first, dict) or not isinstance(first.get("b64_json"), str):
        raise SystemExit("image API response did not contain data[0].b64_json")
    output_image.parent.mkdir(parents=True, exist_ok=True)
    output_image.write_bytes(base64.b64decode(first["b64_json"]))


def file_sha256(path: Path) -> str:
    digest = hashlib.sha256()
    with path.open("rb") as file:
        for chunk in iter(lambda: file.read(1024 * 1024), b""):
            digest.update(chunk)
    return digest.hexdigest()


def complete_job(job: dict[str, object], output_path: Path) -> None:
    job["status"] = "complete"
    job["source_path"] = str(output_path)
    job["source_provenance"] = "secondary-fallback-image-api"
    job["source_sha256"] = file_sha256(output_path)
    job["output_sha256"] = file_sha256(output_path)
    job["completed_at"] = datetime.now(timezone.utc).isoformat()
    job["secondary_fallback"] = True
    for key in [
        "last_error",
        "synthetic_test_source",
        "derived_from",
        "mirror_decision",
        "repair_reason",
        "queued_at",
    ]:
        job.pop(key, None)


def write_canonical_base(
    run_dir: Path, manifest: dict[str, object], output_image: Path
) -> None:
    canonical = run_dir / CANONICAL_BASE_PATH
    canonical.parent.mkdir(parents=True, exist_ok=True)
    shutil.copy2(output_image, canonical)
    reference = {
        "path": CANONICAL_BASE_PATH,
        "source_job": "base",
        "sha256": file_sha256(canonical),
    }
    manifest["canonical_identity_reference"] = reference
    request_path = run_dir / "pet_request.json"
    if request_path.exists():
        request = json.loads(request_path.read_text(encoding="utf-8"))
        request["canonical_identity_reference"] = reference
        request_path.write_text(json.dumps(request, indent=2) + "\n", encoding="utf-8")


def path_list(run_dir: Path, job: dict[str, object]) -> list[Path]:
    inputs = job.get("input_images")
    if not isinstance(inputs, list):
        raise SystemExit(f"job {job.get('id')} has invalid input_images")
    paths = []
    for item in inputs:
        if not isinstance(item, dict) or not isinstance(item.get("path"), str):
            raise SystemExit(f"job {job.get('id')} has invalid input image entry")
        path = (run_dir / item["path"]).resolve()
        if not path.is_relative_to(run_dir):
            raise SystemExit(f"path traversal detected in input_images for job {job.get('id')}")
        if not path.is_file():
            raise SystemExit(f"input image for job {job.get('id')} not found: {path}")
        paths.append(path)
    return paths


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--run-dir", required=True)
    parser.add_argument("--model", default="gpt-image-2")
    parser.add_argument("--size", default="1024x1024")
    parser.add_argument("--states", default="all")
    parser.add_argument("--job-id", action="append", default=[])
    parser.add_argument("--skip-base", action="store_true")
    args = parser.parse_args()

    api_key = os.environ.get("OPENAI_API_KEY")
    if not api_key:
        raise SystemExit("OPENAI_API_KEY is not set")

    run_dir = Path(args.run_dir).expanduser().resolve()
    manifest_path = run_dir / "imagegen-jobs.json"
    manifest = load_manifest(run_dir)
    jobs = select_jobs(
        manifest,
        states=parse_states(args.states),
        skip_base=args.skip_base,
        job_ids=args.job_id,
    )
    raw_dir = run_dir / "raw"

    completed = []
    for job in jobs:
        job_id = str(job.get("id"))
        prompt_raw = job.get("prompt_file")
        output_raw = job.get("output_path")
        if not isinstance(prompt_raw, str) or not isinstance(output_raw, str):
            raise SystemExit(f"job {job_id} is missing prompt_file or output_path")
        prompt_file = (run_dir / prompt_raw).resolve()
        output_image = (run_dir / output_raw).resolve()
        if not prompt_file.is_relative_to(run_dir):
            raise SystemExit(f"path traversal detected in prompt_file for job {job_id}")
        if not output_image.is_relative_to(run_dir):
            raise SystemExit(f"path traversal detected in output_path for job {job_id}")
        print(f"Generating {job_id} with secondary fallback")
        image_paths = path_list(run_dir, job)
        if image_paths:
            response = run_image_edit(
                model=args.model,
                prompt_file=prompt_file,
                image_paths=image_paths,
                output_json=raw_dir / f"{job_id}.response.json",
                size=args.size,
                api_key=api_key,
            )
        else:
            response = run_image_generation(
                model=args.model,
                prompt_file=prompt_file,
                output_json=raw_dir / f"{job_id}.response.json",
                size=args.size,
                api_key=api_key,
            )
        decode_response(response, output_image)
        complete_job(job, output_image)
        if job_id == "base":
            job["canonical_reference_path"] = CANONICAL_BASE_PATH
            write_canonical_base(run_dir, manifest, output_image)
        completed.append({"job_id": job_id, "output": str(output_image)})

    manifest_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8")
    print(json.dumps({"ok": True, "completed": completed}, indent=2))


if __name__ == "__main__":
    main()

#!/usr/bin/env python3
"""Inspect extracted Codex pet frames before atlas composition."""

from __future__ import annotations

import argparse
import json
import math
from pathlib import Path
from statistics import median

from PIL import Image

CELL_WIDTH = 192
CELL_HEIGHT = 208
ROW_FRAME_COUNTS = {
    "idle": 6,
    "running-right": 8,
    "running-left": 8,
    "waving": 4,
    "jumping": 5,
    "failed": 8,
    "waiting": 6,
    "running": 6,
    "review": 6,
}
IMAGE_SUFFIXES = {".png", ".webp", ".jpg", ".jpeg"}


def alpha_nonzero_count(image: Image.Image) -> int:
    alpha = image if image.mode == "L" else image.getchannel("A")
    return sum(alpha.histogram()[1:])


def edge_alpha_count(image: Image.Image, margin: int) -> int:
    alpha = image.getchannel("A")
    width, height = alpha.size
    total = 0
    for box in (
        (0, 0, width, margin),
        (0, height - margin, width, height),
        (0, 0, margin, height),
        (width - margin, 0, width, height),
    ):
        total += alpha_nonzero_count(alpha.crop(box))
    return total


def color_distance(left: tuple[int, int, int], right: tuple[int, int, int]) -> float:
    return math.sqrt(sum((left[index] - right[index]) ** 2 for index in range(3)))


def chroma_adjacent_count(
    image: Image.Image,
    chroma_key: tuple[int, int, int] | None,
    threshold: float,
) -> int:
    if chroma_key is None:
        return 0
    rgba = image.convert("RGBA")
    data = rgba.tobytes()
    count = 0
    for index in range(0, len(data), 4):
        red, green, blue, alpha = data[index : index + 4]
        if alpha > 16 and color_distance((red, green, blue), chroma_key) <= threshold:
            count += 1
    return count


def frame_files(state_dir: Path) -> list[Path]:
    if not state_dir.is_dir():
        return []
    return sorted(path for path in state_dir.iterdir() if path.suffix.lower() in IMAGE_SUFFIXES)


def load_manifest(frames_root: Path) -> dict[str, dict[str, object]]:
    manifest_path = frames_root / "frames-manifest.json"
    if not manifest_path.is_file():
        return {}
    manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
    rows = manifest.get("rows", [])
    if not isinstance(rows, list):
        return {}
    return {
        row["state"]: row
        for row in rows
        if isinstance(row, dict) and isinstance(row.get("state"), str)
    }


def load_chroma_key(frames_root: Path) -> tuple[int, int, int] | None:
    manifest_path = frames_root / "frames-manifest.json"
    if not manifest_path.is_file():
        return None
    manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
    chroma_key = manifest.get("chroma_key")
    if not isinstance(chroma_key, dict):
        return None
    rgb = chroma_key.get("rgb")
    if (
        not isinstance(rgb, list)
        or len(rgb) != 3
        or not all(isinstance(value, int) for value in rgb)
    ):
        return None
    return (rgb[0], rgb[1], rgb[2])


def inspect_state(
    frames_root: Path,
    state: str,
    expected_count: int,
    manifest_rows: dict[str, dict[str, object]],
    chroma_key: tuple[int, int, int] | None,
    args: argparse.Namespace,
) -> dict[str, object]:
    state_dir = frames_root / state
    files = frame_files(state_dir)
    row_errors: list[str] = []
    row_warnings: list[str] = []
    frames: list[dict[str, object]] = []
    areas: list[int] = []
    manifest_row = manifest_rows.get(state, {})
    method = manifest_row.get("method")

    if len(files) != expected_count:
        row_errors.append(f"expected {expected_count} frame files for {state}, found {len(files)}")

    if args.require_components and method and method != "components":
        row_errors.append(
            f"{state} used extraction method {method}; regenerate the row or inspect slot slicing"
        )
    elif method and method != "components":
        row_warnings.append(
            f"{state} used extraction method {method}; component extraction is preferred"
        )

    for index, frame_path in enumerate(files[:expected_count]):
        with Image.open(frame_path) as opened:
            frame = opened.convert("RGBA")
        nontransparent = alpha_nonzero_count(frame)
        bbox = frame.getbbox()
        edge_pixels = edge_alpha_count(frame, args.edge_margin)
        chroma_adjacent_pixels = chroma_adjacent_count(
            frame,
            chroma_key,
            args.chroma_adjacent_threshold,
        )
        info = {
            "index": index,
            "file": str(frame_path),
            "width": frame.width,
            "height": frame.height,
            "nontransparent_pixels": nontransparent,
            "bbox": list(bbox) if bbox else None,
            "edge_pixels": edge_pixels,
            "chroma_adjacent_pixels": chroma_adjacent_pixels,
        }
        frames.append(info)
        areas.append(nontransparent)

        if frame.size != (CELL_WIDTH, CELL_HEIGHT):
            row_errors.append(
                f"{state} frame {index:02d} is {frame.width}x{frame.height}; expected {CELL_WIDTH}x{CELL_HEIGHT}"
            )
        if nontransparent < args.min_used_pixels:
            row_errors.append(
                f"{state} frame {index:02d} is empty or too sparse ({nontransparent} pixels)"
            )
        if edge_pixels > args.edge_pixel_threshold:
            row_warnings.append(
                f"{state} frame {index:02d} has {edge_pixels} non-transparent pixels near the cell edge"
            )
        if chroma_adjacent_pixels > args.chroma_adjacent_pixel_threshold:
            row_errors.append(
                f"{state} frame {index:02d} has {chroma_adjacent_pixels} non-transparent pixels close to the chroma key"
            )

    if areas:
        row_median = median(areas)
        for index, area in enumerate(areas[:expected_count]):
            if row_median > 0 and area < row_median * args.small_outlier_ratio:
                row_warnings.append(
                    f"{state} frame {index:02d} is much smaller than the row median ({area} vs {row_median:.0f})"
                )
            if row_median > 0 and area > row_median * args.large_outlier_ratio:
                row_warnings.append(
                    f"{state} frame {index:02d} is much larger than the row median ({area} vs {row_median:.0f})"
                )

    return {
        "state": state,
        "expected_frames": expected_count,
        "actual_frames": len(files),
        "extraction_method": method,
        "ok": not row_errors,
        "errors": row_errors,
        "warnings": row_warnings,
        "frames": frames,
    }


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--frames-root", required=True)
    parser.add_argument("--json-out", required=True)
    parser.add_argument("--min-used-pixels", type=int, default=400)
    parser.add_argument("--edge-margin", type=int, default=2)
    parser.add_argument("--edge-pixel-threshold", type=int, default=24)
    parser.add_argument("--chroma-adjacent-threshold", type=float, default=150.0)
    parser.add_argument("--chroma-adjacent-pixel-threshold", type=int, default=800)
    parser.add_argument("--small-outlier-ratio", type=float, default=0.35)
    parser.add_argument("--large-outlier-ratio", type=float, default=2.75)
    parser.add_argument(
        "--require-components",
        action="store_true",
        help="Fail rows that fell back to equal-slot extraction.",
    )
    args = parser.parse_args()

    frames_root = Path(args.frames_root).expanduser().resolve()
    manifest_rows = load_manifest(frames_root)
    chroma_key = load_chroma_key(frames_root)
    rows = [
        inspect_state(frames_root, state, count, manifest_rows, chroma_key, args)
        for state, count in ROW_FRAME_COUNTS.items()
    ]
    errors = [error for row in rows for error in row["errors"]]
    warnings = [warning for row in rows for warning in row["warnings"]]
    result = {
        "ok": not errors,
        "frames_root": str(frames_root),
        "errors": errors,
        "warnings": warnings,
        "rows": rows,
    }

    json_out = Path(args.json_out).expanduser().resolve()
    json_out.parent.mkdir(parents=True, exist_ok=True)
    json_out.write_text(json.dumps(result, indent=2) + "\n", encoding="utf-8")
    print(json.dumps({k: v for k, v in result.items() if k != "rows"}, indent=2))
    raise SystemExit(0 if result["ok"] else 1)


if __name__ == "__main__":
    main()