Delete tools/file/analyze_image.py

tools/file/analyze_image.py

@@ -1,73 +0,0 @@
-from langchain_core.tools import tool
-from typing import Dict, Any
-import base64
-from PIL import Image
-import io
-import os
-import uuid
-import numpy as np
-
-# Helper functions for image processing
-
-
-def decode_image(base64_string: str) -> Image.Image:
-    """Convert a base64 string to a PIL Image."""
-    image_data = base64.b64decode(base64_string)
-    return Image.open(io.BytesIO(image_data))
-
-
-def save_image(image: Image.Image, directory: str = "image_outputs") -> str:
-    """Save a PIL Image to disk and return the path."""
-    os.makedirs(directory, exist_ok=True)
-    image_id = str(uuid.uuid4())
-    image_path = os.path.join(directory, f"{image_id}.png")
-    image.save(image_path)
-    return image_path
-
-
-def encode_image(image_path: str) -> str:
-    """Convert an image file to base64 string."""
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode("utf-8")
-
-
-@tool
-def analyze_image(image_base64: str) -> Dict[str, Any]:
-    """
-    Analyze basic properties of an image (size, mode, color analysis, thumbnail preview).
-    Args:
-        image_base64 (str): Base64 encoded image string
-    Returns:
-        Dictionary with analysis result
-    """
-    try:
-        img = decode_image(image_base64)
-        width, height = img.size
-        mode = img.mode
-
-        if mode in ("RGB", "RGBA"):
-            arr = np.array(img)
-            avg_colors = arr.mean(axis=(0, 1))
-            dominant = ["Red", "Green", "Blue"][np.argmax(avg_colors[:3])]
-            brightness = avg_colors.mean()
-            color_analysis = {
-                "average_rgb": avg_colors.tolist(),
-                "brightness": brightness,
-                "dominant_color": dominant,
-            }
-        else:
-            color_analysis = {"note": f"No color analysis for mode {mode}"}
-
-        thumbnail = img.copy()
-        thumbnail.thumbnail((100, 100))
-        thumb_path = save_image(thumbnail, "thumbnails")
-        thumbnail_base64 = encode_image(thumb_path)
-
-        return {
-            "dimensions": (width, height),
-            "mode": mode,
-            "color_analysis": color_analysis,
-            "thumbnail": thumbnail_base64,
-        }
-    except Exception as e:
-        return {"error": str(e)}