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f5c2b96 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | import re
from fastapi import Request
import math
def get_ip(request: Request) -> str:
forwarded = request.headers.get("X-Forwarded-For")
if forwarded:
return forwarded.split(",")[0].strip()
return request.client.host if request.client else "unknown"
def is_default_key(key: str, default: str) -> bool:
if not key or not default:
return False
return key.strip() == default.strip()
def get_cloudinary_creds(url: str) -> dict:
if not url or not url.startswith("cloudinary://"):
return {}
try:
creds = url.replace("cloudinary://", "")
auth, cloud_name = creds.split("@")
api_key, api_secret = auth.split(":")
return {
"cloud_name": cloud_name,
"api_key": api_key,
"api_secret": api_secret
}
except ValueError:
return {}
def sanitize_filename(filename: str) -> str:
if not filename:
return "unnamed_file"
return re.sub(r'[^a-zA-Z0-9_\-\.]', '_', filename)
def standardize_category_name(name: str) -> str:
if not name:
return "uncategorized"
return re.sub(r'[^a-zA-Z0-9_\-]', '_', name.lower())
def to_list(vector) -> list[float]:
try:
return [float(x) for x in vector]
except TypeError:
return []
def url_to_public_id(url: str) -> str:
if not url:
return ""
try:
parts = url.split("/upload/")
if len(parts) > 1:
path = parts[1].split("/", 1)[-1]
return path.rsplit(".", 1)[0]
return ""
except Exception:
return ""
def cld_thumb_url(url: str) -> str:
"""Generates a fast-loading thumbnail preserving the original uncropped image."""
if not url:
return ""
# c_limit,w_500 scales the image down for speed but keeps the entire original frame
return url.replace("/upload/", "/upload/c_limit,w_500/")
import math
def face_ui_score(raw_score: float) -> float:
"""
Converts raw cosine similarity into a mathematically calibrated
Probability of Match using a Sigmoid function (Platt Scaling).
"""
# Shifted the center up to 0.50 (Standard strict threshold for ArcFace ResNet100)
threshold = 0.50
# Increased 'k' to 18.0 to create a very sharp drop-off for imposters
k = 18.0
probability = 1 / (1 + math.exp(-k * (raw_score - threshold)))
return min(1.0, max(0.0, round(probability, 4))) |