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Image Processor Tool - Resize/crop/rotate/convert/watermark/info ảnh.
===========================================
Dùng Pillow (PIL) lazy import. Hỗ trợ JPEG/PNG/GIF/WEBP/BMP/TIFF.
Author: Hieu Louis (2026)
"""
from __future__ import annotations
import os
from typing import Any, Dict, List, Optional
from .base import Tool, ToolResult, ToolContext, ToolCategory, ToolSafety
OPERATIONS = {"resize", "crop", "rotate", "convert", "watermark", "info", "thumbnail"}
SUPPORTED_FORMATS = {"JPEG", "PNG", "GIF", "WEBP", "BMP", "TIFF"}
class ImageProcessorTool(Tool):
"""Xử lý ảnh: resize, crop, rotate, convert, watermark, info."""
category = ToolCategory.MEDIA
safety = ToolSafety.MODERATE
requires_confirmation = True
@property
def name(self) -> str:
return "image_processor"
@property
def description(self) -> str:
return "Image ops (resize/crop/rotate/convert/watermark/info) bằng Pillow."
@property
def parameters(self) -> Dict[str, Any]:
return {
"type": "object",
"properties": {
"input_path": {"type": "string"},
"output_path": {"type": "string", "description": "Output file (bỏ qua cho 'info')"},
"operation": {
"type": "string",
"enum": sorted(OPERATIONS),
"default": "info",
},
"params": {
"type": "object",
"description": "Operation-specific params (width/height/crop_box/angle/format/...)",
},
},
"required": ["input_path", "operation"],
}
def validate_args(self, args: Dict[str, Any]) -> Optional[str]:
if not args.get("input_path"):
return "Missing required arg: input_path"
op = args.get("operation", "info")
if op not in OPERATIONS:
return f"Invalid operation='{op}'. Supported: {sorted(OPERATIONS)}"
if op != "info" and not args.get("output_path"):
return f"Missing required arg: output_path (cho operation='{op}')"
return None
# ---- Helpers --------------------------------------------------------
def _watermark(self, img: Any, text: str) -> Any:
"""Vẽ watermark text lên ảnh bằng ImageDraw (stdlib của PIL)."""
from PIL import ImageDraw, ImageFont # type: ignore
draw = ImageDraw.Draw(img)
try:
font = ImageFont.truetype("DejaVuSans.ttf", max(12, img.width // 30))
except Exception:
font = ImageFont.load_default()
# Tính bounding box text / compute text bbox
try:
bbox = draw.textbbox((0, 0), text, font=font)
tw, th = bbox[2] - bbox[0], bbox[3] - bbox[1]
except AttributeError:
tw, th = font.getsize(text)
x = img.width - tw - 10
y = img.height - th - 10
# Shadow + text / shadow + main text
draw.text((x + 2, y + 2), text, fill=(0, 0, 0, 128), font=font)
draw.text((x, y), text, fill=(255, 255, 255, 200), font=font)
return img
# ---- Execute --------------------------------------------------------
def execute(self, args: Dict[str, Any], context: ToolContext) -> ToolResult:
input_path = args["input_path"]
output_path = args.get("output_path")
op = args.get("operation", "info")
params: Dict[str, Any] = args.get("params", {}) or {}
if not os.path.exists(input_path):
return ToolResult(success=False, error=f"Input không tồn tại: {input_path}", return_code=1)
if context.dry_run:
return ToolResult(
success=True,
output=f"[dry-run] Sẽ thực hiện '{op}' trên {input_path}",
metadata={"operation": op, "input_path": input_path, "dry_run": True},
)
try:
from PIL import Image # type: ignore
except ImportError:
return ToolResult(
success=False,
error="Pillow chưa cài. Cài đặt: pip install Pillow",
return_code=127,
)
try:
img = Image.open(input_path)
# Force load để detect lỗi sớm / force load to catch errors early
img.load()
fmt = img.format or os.path.splitext(input_path)[1][1:].upper()
if op == "info":
meta: Dict[str, Any] = {
"path": input_path,
"format": fmt,
"size": list(img.size),
"width": img.width,
"height": img.height,
"mode": img.mode,
"is_animated": getattr(img, "is_animated", False),
"n_frames": getattr(img, "n_frames", 1),
"file_size_bytes": os.path.getsize(input_path),
}
# EXIF / read EXIF if available
try:
exif = img._getexif() # type: ignore[attr-defined]
if exif:
meta["exif"] = {k: str(v) for k, v in exif.items()}
except Exception:
pass
return ToolResult(
success=True,
output=f"{fmt} {img.width}x{img.height} mode={img.mode} ({os.path.getsize(input_path)} bytes)",
metadata=meta,
)
if op == "resize":
w = int(params.get("width", img.width // 2))
h = int(params.get("height", img.height // 2))
resample_name = params.get("resample", "LANCZOS")
resample = getattr(Image, resample_name, Image.LANCZOS)
result = img.resize((w, h), resample)
elif op == "thumbnail":
w = int(params.get("width", 256))
h = int(params.get("height", 256))
result = img.copy()
result.thumbnail((w, h), Image.LANCZOS)
elif op == "crop":
box = params.get("crop_box") or (
int(params.get("left", 0)),
int(params.get("top", 0)),
int(params.get("right", img.width)),
int(params.get("bottom", img.height)),
)
result = img.crop(box)
elif op == "rotate":
angle = float(params.get("angle", 90))
expand = bool(params.get("expand", True))
result = img.rotate(angle, expand=expand)
elif op == "convert":
target_fmt = str(params.get("format", "PNG")).upper()
if target_fmt not in SUPPORTED_FORMATS:
return ToolResult(success=False, error=f"Unsupported format: {target_fmt}", return_code=1)
# Convert mode nếu cần / convert mode for format
if target_fmt == "JPEG" and img.mode in ("RGBA", "P", "LA"):
result = img.convert("RGB")
else:
result = img.copy()
fmt = target_fmt
elif op == "watermark":
text = str(params.get("text", "© Nexus Coder"))
result = img.copy()
if result.mode != "RGBA":
result = result.convert("RGBA")
result = self._watermark(result, text)
else:
return ToolResult(success=False, error=f"Unknown operation: {op}", return_code=1)
# Tự suy ra format từ extension / infer format from output extension
save_fmt = fmt
ext = os.path.splitext(output_path)[1][1:].upper() if output_path else None
if ext and ext in SUPPORTED_FORMATS:
save_fmt = ext
# Đảm bảo thư mục cha / ensure parent dir
os.makedirs(os.path.dirname(os.path.abspath(output_path)), exist_ok=True)
save_kwargs: Dict[str, Any] = {}
if save_fmt == "JPEG":
save_kwargs["quality"] = int(params.get("quality", 85))
result.save(output_path, format=save_fmt, **save_kwargs)
return ToolResult(
success=True,
output=f"{op} → {output_path} ({result.width}x{result.height}, {save_fmt})",
artifacts=[output_path],
metadata={
"operation": op,
"input_path": input_path,
"output_path": output_path,
"input_size": list(img.size),
"output_size": list(result.size),
"format": save_fmt,
},
)
except Exception as e:
return ToolResult(success=False, error=f"Image op failed: {e}", return_code=1)
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