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263 lines (226 loc) · 10.2 KB
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#!/usr/bin/env python3
from __future__ import annotations
import argparse
from pathlib import Path
from services.config_store import AppSettings, ConfigStore
from services.extractor import ExtractionProgress, ExtractionResult, IconExtractor
from services.ollama_client import OllamaVisionClient
DETECTION_PRESETS = {
"Balanced": {"padding": 12, "min_area": 200, "merge_gap": 13},
"Tiny Details": {"padding": 8, "min_area": 70, "merge_gap": 9},
"Loose Sketches": {"padding": 16, "min_area": 140, "merge_gap": 19},
"Bold Shapes": {"padding": 14, "min_area": 320, "merge_gap": 15},
}
CANVAS_MODE_CHOICES = ["original", "uniform_to_largest", "individual_fit"]
BITMAP_EXPORT_MODE_CHOICES = ["keep_background", "transparent_preserve_interior"]
FORMAT_CHOICES = ["png", "jpg", "tiff", "svg"]
PROVIDER_CHOICES = ["geometry", "ollama", "directory"]
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(
description="Shapearator CLI: extract hand-drawn icons from PNG or SVG sheets.",
)
parser.add_argument("input", type=Path, help="Path to the source PNG or SVG sheet.")
parser.add_argument(
"--output-dir",
type=Path,
default=Path("out"),
help="Directory where extracted assets will be written. Default: ./out",
)
parser.add_argument(
"--formats",
nargs="+",
choices=FORMAT_CHOICES,
default=None,
help="Export formats to write. Default comes from config or falls back to png svg.",
)
parser.add_argument(
"--output-width",
type=int,
default=None,
help="Final canvas width in pixels for every export.",
)
parser.add_argument(
"--output-height",
type=int,
default=None,
help="Final canvas height in pixels for every export.",
)
parser.add_argument(
"--canvas-mode",
choices=CANVAS_MODE_CHOICES,
default=None,
help="Canvas scaling behavior for exported icons.",
)
parser.add_argument(
"--bitmap-export-mode",
choices=BITMAP_EXPORT_MODE_CHOICES,
default=None,
help="Bitmap export behavior: preserve source background or export transparency.",
)
parser.add_argument(
"--detection-preset",
choices=list(DETECTION_PRESETS.keys()),
default=None,
help="Detection preset to seed padding, min-area, and merge-gap.",
)
parser.add_argument("--padding", type=int, default=None, help="Extra padding around detected icon crops.")
parser.add_argument("--min-area", type=int, default=None, help="Minimum connected-component area to keep.")
parser.add_argument("--merge-gap", type=int, default=None, help="Morphological merge distance for reconnecting marks.")
parser.add_argument(
"--provider",
choices=PROVIDER_CHOICES,
default=None,
help="Active provider mode: geometry, local Ollama, or local model directory catalog.",
)
parser.add_argument("--ollama-url", default=None, help="Local Ollama endpoint URL.")
parser.add_argument("--ollama-model", default=None, help="Ollama model name used for semantic naming.")
parser.add_argument("--local-model-root", default=None, help="Directory used to discover local models.")
parser.add_argument("--local-model-name", default=None, help="Selected local directory model name.")
parser.add_argument(
"--semantic-naming",
dest="semantic_naming",
action="store_true",
help="Enable local-model-based semantic filenames and metadata when supported.",
)
parser.add_argument(
"--no-semantic-naming",
dest="semantic_naming",
action="store_false",
help="Disable semantic filenames and metadata enrichment.",
)
parser.set_defaults(semantic_naming=None)
parser.add_argument(
"--use-config",
action="store_true",
help="Load defaults from config/settings.json before applying CLI overrides.",
)
parser.add_argument(
"--save-config",
action="store_true",
help="Persist the resolved settings back to config/settings.json after validation.",
)
return parser
def parse_args() -> argparse.Namespace:
return build_parser().parse_args()
def load_base_settings(use_config: bool) -> AppSettings:
if use_config:
return ConfigStore(Path("config") / "settings.json").load()
return AppSettings()
def apply_detection_preset(settings: AppSettings, preset_name: str | None) -> None:
if not preset_name:
return
preset = DETECTION_PRESETS[preset_name]
settings.padding = preset["padding"]
settings.min_area = preset["min_area"]
settings.merge_gap = preset["merge_gap"]
def apply_cli_overrides(settings: AppSettings, args: argparse.Namespace, input_path: Path, output_dir: Path) -> AppSettings:
settings.last_input_path = str(input_path)
settings.last_output_dir = str(output_dir)
apply_detection_preset(settings, args.detection_preset)
override_map = {
"provider": args.provider,
"ollama_url": args.ollama_url,
"ollama_model": args.ollama_model,
"local_model_root": args.local_model_root,
"local_model_name": args.local_model_name,
"output_width": args.output_width,
"output_height": args.output_height,
"canvas_mode": args.canvas_mode,
"bitmap_export_mode": args.bitmap_export_mode,
"padding": args.padding,
"min_area": args.min_area,
"merge_gap": args.merge_gap,
}
for field_name, value in override_map.items():
if value is not None:
setattr(settings, field_name, value)
if args.formats is not None:
settings.default_formats = list(args.formats)
if args.semantic_naming is not None:
settings.semantic_naming = args.semantic_naming
return settings
def validate_settings(settings: AppSettings, input_path: Path, formats: set[str]) -> None:
if not input_path.exists():
raise SystemExit(f"Input file not found: {input_path}")
if input_path.suffix.lower() not in {".png", ".svg"}:
raise SystemExit("Supported inputs are .png and .svg")
if not formats:
raise SystemExit("At least one export format must be selected.")
if settings.output_width <= 0 or settings.output_height <= 0:
raise SystemExit("Canvas width and height must be positive integers.")
if settings.provider == "ollama" and not OllamaVisionClient.is_local_url(settings.ollama_url):
raise SystemExit("Ollama provider requires a local endpoint such as http://127.0.0.1:11434.")
def describe_detection_origin(args: argparse.Namespace, settings: AppSettings) -> str:
if args.detection_preset:
return (
f"preset={args.detection_preset} "
f"(padding={settings.padding}, min_area={settings.min_area}, merge_gap={settings.merge_gap})"
)
return f"manual (padding={settings.padding}, min_area={settings.min_area}, merge_gap={settings.merge_gap})"
def provider_notes(settings: AppSettings) -> list[str]:
notes: list[str] = []
if settings.provider == "ollama":
notes.append(f"Ollama endpoint: {settings.ollama_url}")
notes.append(f"Ollama model: {settings.ollama_model or 'not selected'}")
notes.append(
"Semantic naming: enabled" if settings.semantic_naming else "Semantic naming: disabled"
)
elif settings.provider == "directory":
notes.append(f"Model directory: {settings.local_model_root or 'not set'}")
notes.append(f"Selected directory model: {settings.local_model_name or 'not selected'}")
notes.append("Directory provider currently acts as a local catalog/configuration mode, not a direct inference adapter.")
notes.append(
"Semantic naming remains unavailable unless provider=ollama and a local Ollama model is selected."
)
else:
notes.append("Semantic naming: unavailable in geometry-only mode.")
return notes
def print_run_header(settings: AppSettings, input_path: Path, output_dir: Path, formats: set[str], args: argparse.Namespace) -> None:
print("Shapearator CLI")
print(f"Input: {input_path.resolve()}")
print(f"Output directory: {output_dir.resolve()}")
print(f"Formats: {', '.join(sorted(formats))}")
print(f"Canvas: {settings.output_width}x{settings.output_height} px")
print(f"Canvas mode: {settings.canvas_mode}")
print(f"Bitmap export mode: {settings.bitmap_export_mode}")
print(f"Provider: {settings.provider}")
print(f"Detection: {describe_detection_origin(args, settings)}")
for note in provider_notes(settings):
print(note)
print("")
def progress_printer(progress: ExtractionProgress) -> None:
total = max(progress.total, 1)
print(f"[{progress.phase}] {progress.current}/{total} - {progress.message}")
def maybe_save_config(settings: AppSettings, args: argparse.Namespace) -> None:
if not args.save_config:
return
ConfigStore(Path("config") / "settings.json").save(settings)
print(f"Saved resolved settings to {(Path('config') / 'settings.json').resolve()}")
def print_completion(result: ExtractionResult) -> None:
print("")
print(f"Provider summary: {result.provider_summary}")
print(f"Completed: extracted {len(result.icons)} icons")
print(f"Output written to: {result.output_dir.resolve()}")
metadata_dir = result.output_dir / "metadata"
if metadata_dir.exists():
print(f"Metadata directory: {metadata_dir.resolve()}")
def main() -> int:
args = parse_args()
input_path = args.input.expanduser().resolve()
output_dir = args.output_dir.expanduser().resolve()
settings = load_base_settings(args.use_config)
settings = apply_cli_overrides(settings, args, input_path, output_dir)
formats = set(settings.default_formats)
validate_settings(settings, input_path, formats)
maybe_save_config(settings, args)
print_run_header(settings, input_path, output_dir, formats, args)
result = IconExtractor(settings).extract(
input_path=input_path,
output_dir=output_dir,
formats=formats,
progress_callback=progress_printer,
)
print_completion(result)
return 0
if __name__ == "__main__":
raise SystemExit(main())