Spaces:
Running
Running
from typing import List | |
from fastapi import FastAPI, HTTPException | |
from fastapi.responses import JSONResponse | |
from models import RequestModel | |
import os | |
import json | |
import cv2 | |
import numpy as np | |
import httpx | |
BASE_DIR = "saved_data" | |
app = FastAPI() | |
def orb_sim(img1, img2): | |
# ORB | |
orb = cv2.ORB_create() | |
kp_a, desc_a = orb.detectAndCompute(img1, None) | |
kp_b, desc_b = orb.detectAndCompute(img2, None) | |
# Brute-force matcher | |
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True) | |
matches = bf.match(desc_a, desc_b) | |
similar_regions = [i for i in matches if i.distance < 20] | |
if len(matches) == 0: | |
return 0 | |
return len(similar_regions) / len(matches) | |
def load_image(source): | |
Image.MAX_IMAGE_PIXELS = None | |
if source.startswith('http'): | |
response = requests.get(source) | |
img = np.asarray(bytearray(response.content), dtype=np.uint8) | |
img = cv2.imdecode(img, cv2.IMREAD_GRAYSCALE) | |
else: | |
img = base64.b64decode(source) | |
img = Image.open(BytesIO(img)) | |
img = np.array(img) | |
img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) | |
return img | |
app = FastAPI() | |
BASE_DIR = "/tmp/data" | |
async def save(image_data: RequestModel): | |
os.makedirs(BASE_DIR, exist_ok=True) | |
filename = os.path.join(BASE_DIR, f"{image_data.originId}_{image_data.assetCode}.json") | |
img1 = load_image(image_data.originSource) | |
img2 = load_image(image_data.source) | |
similarity_orb = None | |
if img1 is not None and img2 is not None: | |
similarity_orb = orb_sim(img1, img2) | |
print(f"Similaridade ORB entre {image_data.originSource} e {image_data.source}: {similarity_orb}") | |
data_to_save = image_data.dict() | |
if similarity_orb is not None: | |
data_to_save["similarityOrb"] = similarity_orb | |
with open(filename, "w") as f: | |
json.dump(data_to_save, f, indent=4) | |
return True | |
async def list_files(): | |
try: | |
files_data = [] | |
for filename in os.listdir(BASE_DIR): | |
filepath = os.path.join(BASE_DIR, filename) | |
if os.path.isfile(filepath): | |
try: | |
with open(filepath, "r") as f: | |
file_content = f.read() # Lê o conteúdo do ficheiro | |
# Tenta decodificar o conteúdo como JSON, se possível | |
try: | |
file_content_json = json.loads(file_content) | |
files_data.append({"filename": filename, "content": file_content_json}) | |
except json.JSONDecodeError: | |
files_data.append({"filename": filename, "content": file_content}) # Se não for JSON, retorna o texto | |
except (IOError, OSError) as e: | |
raise HTTPException(status_code=500, detail=f"Erro ao ler o ficheiro {filename}: {e}") | |
return JSONResponse({"files_data": files_data}) | |
except FileNotFoundError: | |
raise HTTPException(status_code=404, detail="Diretório de dados não encontrado") | |
async def list_similar_files(): | |
try: | |
files_data = [] | |
for filename in os.listdir(BASE_DIR): | |
filepath = os.path.join(BASE_DIR, filename) | |
if os.path.isfile(filepath): | |
try: | |
with open(filepath, "r") as f: | |
file_content = f.read() | |
try: | |
file_content_json = json.loads(file_content) | |
# Check for similarityOrb and filter | |
if "similarityOrb" in file_content_json and file_content_json["similarityOrb"] > 0: | |
files_data.append({"filename": filename, "content": file_content_json}) | |
except json.JSONDecodeError: | |
pass # Skip files that are not valid JSON | |
except (IOError, OSError) as e: | |
raise HTTPException(status_code=500, detail=f"Erro ao ler o ficheiro {filename}: {e}") | |
return JSONResponse({"files_data": files_data}) | |
except FileNotFoundError: | |
raise HTTPException(status_code=404, detail="Diretório de dados não encontrado") | |
async def get_file_by_origin_id(origin_id: int): | |
try: | |
for filename in os.listdir(BASE_DIR): | |
if filename.startswith(f"{origin_id}_") and filename.endswith(".json"): | |
filepath = os.path.join(BASE_DIR, filename) | |
if os.path.isfile(filepath): | |
try: | |
with open(filepath, "r") as f: | |
file_content = f.read() | |
try: | |
file_content_json = json.loads(file_content) | |
return JSONResponse({"filename": filename, "content": file_content_json}) | |
except json.JSONDecodeError: | |
return JSONResponse({"filename": filename, "content": file_content}) | |
except (IOError, OSError) as e: | |
raise HTTPException(status_code=500, detail=f"Erro ao ler o ficheiro {filename}: {e}") | |
raise HTTPException(status_code=404, detail=f"Ficheiro com originId '{origin_id}' não encontrado") | |
except FileNotFoundError: | |
raise HTTPException(status_code=404, detail="Diretório de dados não encontrado") |