feat generate 迁移

app/service/generate_image/service.py

@@ -130,8 +130,7 @@ class GenerateImage:
 
                 if self.category == "sketch":
                     image = remove_background(np.asarray(image))
-                image_url = upload_png_sd(image, user_id=self.user_id, category=f"{self.category}",
-                                          object_name=f"{generate_uuid()}_{i}.png", )
+                image_url = upload_png_sd(image, user_id=self.user_id, category=f"{self.category}", object_name=f"{generate_uuid()}_{i}.png", )
                 url_list.append(image_url)
             generate_data = json.dumps({'status': 'SUCCESS', 'message': 'success', 'data': f'{url_list}'})
             self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=generate_data)

app/service/generate_image/utils/upload_sd_image.py

@@ -26,7 +26,7 @@ def upload_png_sd(image, user_id, category, object_name):
         image.save(image_data, format='PNG')
         image_data.seek(0)
         image_bytes = image_data.read()
-        image_url = f"aida-users/{minio_client.put_object(f'aida-users', f'{user_id}/{category}/{object_name}', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
+        image_url = f"aida-users/{minio_client.put_object(f'{GI_MINIO_BUCKET}', f'{user_id}/{category}/{object_name}', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
 
         return image_url
     except Exception as e:

app/service/super_resolution/service.py

@@ -1,10 +1,7 @@
 import io
 import logging
 import time
-from io import BytesIO
-
 import minio.error
-import pika
 import redis
 import json
 import cv2
@@ -12,10 +9,9 @@ import numpy as np
 import torch
 import tritonclient.grpc as grpcclient
 from minio import Minio
-from app.core.config import MINIO_IP, MINIO_ACCESS, MINIO_SECRET, MINIO_SECURE, MINIO_PORT, REDIS_HOST, REDIS_PORT, REDIS_DB, SR_MODEL_NAME, RABBITMQ_PARAMS, SR_RABBITMQ_QUEUES, SR_TRITON_URL
+from app.core.config import *
 from app.schemas.super_resolution import SuperResolutionModel
 from app.service.utils.decorator import RunTime
-from app.service.utils.generate_uuid import generate_uuid
 
 logger = logging.getLogger()
 
@@ -25,6 +21,7 @@ class SuperResolution:
         self.triton_client = grpcclient.InferenceServerClient(url=SR_TRITON_URL)
         self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
         self.tasks_id = data.sr_tasks_id
+        self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
         self.sr_image_url = data.sr_image_url
         self.sr_xn = data.sr_xn
         self.minio_client = Minio(
@@ -108,11 +105,11 @@ class SuperResolution:
         # output_url = self.upload_img_sr(output, generate_uuid())
         # return output_url
 
-    def upload_img_sr(self, image, object_name):
+    def upload_img_sr(self, image):
         try:
             image_bytes = cv2.imencode('.jpg', image)[1].tobytes()
-            image_url = f"test/{self.minio_client.put_object(f'test', f'{object_name}.jpg', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
-
+            res = self.minio_client.put_object(f'{SR_MINIO_BUCKET}', f'{self.user_id}/sr/output/{self.tasks_id}.jpg', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png')
+            image_url = f"aida-users/{res.object_name}"
             return image_url
         except Exception as e:
             logger.warning(f"upload_png_mask runtime exception : {e}")
@@ -129,7 +126,7 @@ class SuperResolution:
             if output.ndim == 3:
                 output = np.transpose(output[[2, 1, 0], :, :], (1, 2, 0))  # CHW-RGB to HCW-BGR
             output = (output * 255.0).round().astype(np.uint8)
-            output_url = self.upload_img_sr(output, generate_uuid())
+            output_url = self.upload_img_sr(output)
             sr_data = json.dumps({'tasks_id': self.tasks_id, 'status': 'SUCCESS', 'message': 'success', 'data': f'{output_url}'})
             self.channel.basic_publish(exchange='', routing_key=SR_RABBITMQ_QUEUES, body=sr_data)
             logger.info(f" [x] Sent {sr_data}")

app/service/super_resolution/test.py

@@ -1,31 +1,2 @@
-import time
-
-import cv2
-import numpy as np
-import torch
-import tritonclient.http as httpclient
-import tritonclient.grpc as grpcclient
-
-from PIL import Image
-
-triton_client = grpcclient.InferenceServerClient(url=f"10.1.1.150:7001")
-
-sample = cv2.imread("1709713346.806274.png", cv2.IMREAD_COLOR).astype(np.float32) / 255.
-sample = np.transpose(sample if sample.shape[2] == 1 else sample[:, :, [2, 1, 0]], (2, 0, 1))
-sample = torch.from_numpy(sample).float().unsqueeze(0).numpy()
-inputs = [
-    grpcclient.InferInput("input", sample.shape, datatype="FP32")
-]
-inputs[0].set_data_from_numpy(sample
-                              # , binary_data=True
-                              )
-start_time = time.time()
-results = triton_client.async_infer(model_name="super_resolution", inputs=inputs)
-print(time.time() - start_time)
-sr_output = torch.from_numpy(results.as_numpy(f"output"))
-output = sr_output.data.squeeze().float().cpu().clamp_(0, 1).numpy()
-if output.ndim == 3:
-    output = np.transpose(output[[2, 1, 0], :, :], (1, 2, 0))  # CHW-RGB to HCW-BGR
-output = (output * 255.0).round().astype(np.uint8)
-cv2.imshow("", output)
-cv2.waitKey(0)
+a = "123-86"
+print(a[a.rfind('-') + 1:])