116 lines
4.7 KiB
Python
116 lines
4.7 KiB
Python
#!/usr/bin/env python
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# -*- coding: UTF-8 -*-
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"""
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@Project ：trinity_client
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@File ：service_att_recognition.py
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@Author ：周成融
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@Date ：2023/7/26 12:01:05
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@detail ：
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"""
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import json
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import logging
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import time
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import cv2
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import numpy as np
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import redis
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from PIL import Image
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from minio import Minio
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from tritonclient.utils import np_to_triton_dtype
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from app.core.config import *
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import tritonclient.grpc as grpcclient
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from app.schemas.generate_image import GenerateSingleLogoImageModel
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from app.service.generate_image.utils.mq import publish_status
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from app.service.generate_image.utils.upload_sd_image import upload_png_sd, upload_SDXL_image
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logger = logging.getLogger()
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class GenerateSingleLogoImage:
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def __init__(self, request_data):
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self.grpc_client = grpcclient.InferenceServerClient(url=GSL_MODEL_URL)
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self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
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self.batch_size = 1
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self.category = "single_logo"
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self.negative_prompts = "bad, ugly"
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self.seed = request_data.seed
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self.tasks_id = request_data.tasks_id
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self.prompt = request_data.prompt
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self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
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self.gen_single_logo_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'image_url': ''}
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self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
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self.redis_client.expire(self.tasks_id, 600)
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def read_tasks_status(self):
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status_data = self.redis_client.get(self.tasks_id)
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return json.loads(status_data), status_data
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def callback(self, result, error):
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if error:
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self.gen_single_logo_data['status'] = "FAILURE"
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self.gen_single_logo_data['message'] = str(error)
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self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
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else:
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image = result.as_numpy("generated_image")
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image_result = Image.fromarray(np.squeeze(image.astype(np.uint8)))
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image_url = upload_SDXL_image(image_result, user_id=self.user_id, category=f"{self.category}", file_name=f"{self.tasks_id}.png")
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self.gen_single_logo_data['status'] = "SUCCESS"
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self.gen_single_logo_data['message'] = "success"
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self.gen_single_logo_data['image_url'] = str(image_url)
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self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
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def get_result(self):
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try:
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# prompt
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prompts = [self.prompt] * self.batch_size
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text_obj = np.array(prompts, dtype="object").reshape((-1, 1))
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input_text = grpcclient.InferInput("prompt", text_obj.shape, np_to_triton_dtype(text_obj.dtype))
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input_text.set_data_from_numpy(text_obj)
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text_obj_neg = np.array(self.negative_prompts, dtype="object").reshape((-1, 1))
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input_text_neg = grpcclient.InferInput("negative_prompt", text_obj_neg.shape, np_to_triton_dtype(text_obj_neg.dtype))
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input_text_neg.set_data_from_numpy(text_obj_neg)
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seed = np.array(self.seed, dtype="object").reshape((-1, 1))
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input_seed = grpcclient.InferInput("seed", seed.shape, np_to_triton_dtype(seed.dtype))
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input_seed.set_data_from_numpy(seed)
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inputs = [input_text, input_text_neg, input_seed]
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ctx = self.grpc_client.async_infer(model_name=GSL_MODEL_NAME, inputs=inputs, callback=self.callback)
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time_out = 600
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generate_data = None
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while time_out > 0:
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generate_data, _ = self.read_tasks_status()
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if generate_data['status'] in ["REVOKED", "FAILURE"]:
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ctx.cancel()
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break
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elif generate_data['status'] == "SUCCESS":
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break
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time_out -= 1
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time.sleep(0.1)
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return generate_data
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except Exception as e:
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raise Exception(str(e))
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finally:
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dict_generate_data, str_generate_data = self.read_tasks_status()
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if not DEBUG:
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publish_status(str_generate_data, GI_RABBITMQ_QUEUES)
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def infer_cancel(tasks_id):
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redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
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data = {'tasks_id': tasks_id, 'status': 'REVOKED', 'message': "revoked", 'data': 'revoked'}
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generate_data = json.dumps(data)
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redis_client.set(tasks_id, generate_data)
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return data
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if __name__ == '__main__':
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rd = GenerateSingleLogoImageModel(
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tasks_id="123-89",
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prompt='an apple',
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seed="2",
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)
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server = GenerateSingleLogoImage(rd)
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print(server.get_result())
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