similarity_dbg / main.py
MarioPrzBasto's picture
Update main.py
ef851b3 verified
raw
history blame
5.5 kB
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"
@app.post("/save")
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
@app.get("/files")
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")
@app.get("/files/similar")
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")
@app.get("/files/find/{origin_id}")
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")