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from __future__ import annotations
import string
import random
import json
import re
import io
import base64
import numpy as np
from PIL import Image
from aiohttp import ClientSession
async def upload_image(
session: ClientSession,
image: str,
tone: str,
proxy: str = None
):
try:
image_config = {
"maxImagePixels": 360000,
"imageCompressionRate": 0.7,
"enableFaceBlurDebug": 0,
}
is_data_uri_an_image(image)
img_binary_data = extract_data_uri(image)
is_accepted_format(img_binary_data)
img = Image.open(io.BytesIO(img_binary_data))
width, height = img.size
max_image_pixels = image_config['maxImagePixels']
if max_image_pixels / (width * height) < 1:
new_width = int(width * np.sqrt(max_image_pixels / (width * height)))
new_height = int(height * np.sqrt(max_image_pixels / (width * height)))
else:
new_width = width
new_height = height
try:
orientation = get_orientation(img)
except Exception:
orientation = None
new_img = process_image(orientation, img, new_width, new_height)
new_img_binary_data = compress_image_to_base64(new_img, image_config['imageCompressionRate'])
data, boundary = build_image_upload_api_payload(new_img_binary_data, tone)
headers = session.headers.copy()
headers["content-type"] = f'multipart/form-data; boundary={boundary}'
headers["referer"] = 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx'
headers["origin"] = 'https://www.bing.com'
async with session.post("https://www.bing.com/images/kblob", data=data, headers=headers, proxy=proxy) as response:
if response.status != 200:
raise RuntimeError("Failed to upload image.")
image_info = await response.json()
if not image_info.get('blobId'):
raise RuntimeError("Failed to parse image info.")
result = {'bcid': image_info.get('blobId', "")}
result['blurredBcid'] = image_info.get('processedBlobId', "")
if result['blurredBcid'] != "":
result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['blurredBcid']
elif result['bcid'] != "":
result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['bcid']
result['originalImageUrl'] = (
"https://www.bing.com/images/blob?bcid="
+ result['blurredBcid']
if image_config["enableFaceBlurDebug"]
else "https://www.bing.com/images/blob?bcid="
+ result['bcid']
)
return result
except Exception as e:
raise RuntimeError(f"Upload image failed: {e}")
def build_image_upload_api_payload(image_bin: str, tone: str):
payload = {
'invokedSkills': ["ImageById"],
'subscriptionId': "Bing.Chat.Multimodal",
'invokedSkillsRequestData': {
'enableFaceBlur': True
},
'convoData': {
'convoid': "",
'convotone': tone
}
}
knowledge_request = {
'imageInfo': {},
'knowledgeRequest': payload
}
boundary="----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16))
data = (
f'--{boundary}'
+ '\r\nContent-Disposition: form-data; name="knowledgeRequest"\r\n\r\n'
+ json.dumps(knowledge_request, ensure_ascii=False)
+ "\r\n--"
+ boundary
+ '\r\nContent-Disposition: form-data; name="imageBase64"\r\n\r\n'
+ image_bin
+ "\r\n--"
+ boundary
+ "--\r\n"
)
return data, boundary
def is_data_uri_an_image(data_uri: str):
# Check if the data URI starts with 'data:image' and contains an image format (e.g., jpeg, png, gif)
if not re.match(r'data:image/(\w+);base64,', data_uri):
raise ValueError("Invalid data URI image.")
# Extract the image format from the data URI
image_format = re.match(r'data:image/(\w+);base64,', data_uri).group(1)
# Check if the image format is one of the allowed formats (jpg, jpeg, png, gif)
if image_format.lower() not in ['jpeg', 'jpg', 'png', 'gif']:
raise ValueError("Invalid image format (from mime file type).")
def is_accepted_format(binary_data: bytes) -> bool:
if binary_data.startswith(b'\xFF\xD8\xFF'):
pass # It's a JPEG image
elif binary_data.startswith(b'\x89PNG\r\n\x1a\n'):
pass # It's a PNG image
elif binary_data.startswith(b'GIF87a') or binary_data.startswith(b'GIF89a'):
pass # It's a GIF image
elif binary_data.startswith(b'\x89JFIF') or binary_data.startswith(b'JFIF\x00'):
pass # It's a JPEG image
elif binary_data.startswith(b'\xFF\xD8'):
pass # It's a JPEG image
elif binary_data.startswith(b'RIFF') and binary_data[8:12] == b'WEBP':
pass # It's a WebP image
else:
raise ValueError("Invalid image format (from magic code).")
def extract_data_uri(data_uri: str) -> bytes:
data = data_uri.split(",")[1]
data = base64.b64decode(data)
return data
def get_orientation(data: bytes) -> int:
if data[:2] != b'\xFF\xD8':
raise Exception('NotJpeg')
with Image.open(data) as img:
exif_data = img._getexif()
if exif_data is not None:
orientation = exif_data.get(274) # 274 corresponds to the orientation tag in EXIF
if orientation is not None:
return orientation
def process_image(orientation: int, img: Image.Image, new_width: int, new_height: int) -> Image.Image:
# Initialize the canvas
new_img = Image.new("RGB", (new_width, new_height), color="#FFFFFF")
if orientation:
if orientation > 4:
img = img.transpose(Image.FLIP_LEFT_RIGHT)
if orientation in [3, 4]:
img = img.transpose(Image.ROTATE_180)
if orientation in [5, 6]:
img = img.transpose(Image.ROTATE_270)
if orientation in [7, 8]:
img = img.transpose(Image.ROTATE_90)
new_img.paste(img, (0, 0))
return new_img
def compress_image_to_base64(image: Image.Image, compression_rate: float) -> str:
output_buffer = io.BytesIO()
image.save(output_buffer, format="JPEG", quality=int(compression_rate * 100))
return base64.b64encode(output_buffer.getvalue()).decode('utf-8')
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