fix merge bugs.

This commit is contained in:
Liu Zhicong
2023-11-30 21:14:24 -08:00
parent 50e22817c1
commit 83149b5590
3 changed files with 31 additions and 4 deletions
-146
View File
@@ -1,146 +0,0 @@
import os
import io
import asyncio
from asyncio import Queue
import logging
from pathlib import Path
from openai import OpenAI
import base64
from PIL import Image
from .compute_task import ComputeTask, ComputeTaskResult, ComputeTaskState, ComputeTaskType, ComputeTaskResultCode
from .compute_node import ComputeNode
from .storage import AIStorage, UserConfig
logger = logging.getLogger(__name__)
class DallE_ComputeNode(ComputeNode):
_instance = None
@classmethod
def get_instance(cls):
if cls._instance is None:
cls._instance = DallE_ComputeNode()
return cls._instance
@classmethod
def declare_user_config(cls):
user_config = AIStorage.get_instance().get_user_config()
if os.getenv("TEXT2IMG_OUTPUT_DIR") is None:
home_dir = Path.home()
output_dir = Path.joinpath(home_dir, "text2img_output")
Path.mkdir(output_dir, exist_ok=True)
user_config.add_user_config(
"text2img_output_dir", "text2image output dir", True, output_dir)
def __init__(self):
super().__init__()
self.is_start = False
self.node_id = "dall_e_node"
self.openai_api_key = ""
self.default_model = "dall-e-3"
self.task_queue = Queue()
async def initial(self):
if os.getenv("OPENAI_API_KEY") is not None:
self.openai_api_key = os.getenv("OPENAI_API_KEY")
else:
self.openai_api_key = AIStorage.get_instance().get_user_config().get_value("openai_api_key")
if self.openai_api_key is None:
logger.error("openai_api_key is None!")
return False
if os.getenv("TEXT2IMG_OUTPUT_DIR") is not None:
self.output_dir = os.getenv("TEXT2IMG_OUTPUT_DIR")
else:
self.output_dir = AIStorage.get_instance(
).get_user_config().get_value("text2img_output_dir")
if self.output_dir is None:
self.output_dir = "./"
self.output_dir = os.path.abspath(self.output_dir)
self.start()
return True
async def push_task(self, task: ComputeTask, proiority: int = 0):
logger.info(f"DallE_node push task: {task.display()}")
self.task_queue.put_nowait(task)
async def remove_task(self, task_id: str):
pass
def _run_task(self, task: ComputeTask):
task.state = ComputeTaskState.RUNNING
result = ComputeTaskResult()
result.result_code = ComputeTaskResultCode.ERROR
result.set_from_task(task)
try:
prompt = task.params["prompt"]
logging.info(f"Call DallE {self.default_model} prompts: {prompt}")
client = OpenAI(api_key=self.openai_api_key)
response = client.images.generate(
model=self.default_model,
prompt=prompt,
size="1024x1024",
quality="standard",
n=1,
response_format="b64_json",
)
binary_data = base64.b64decode(response.data[0].b64_json)
image = Image.open(io.BytesIO(binary_data))
file_name = os.path.join(self.output_dir, task.task_id + ".png")
image.save(file_name)
task.state = ComputeTaskState.DONE
result.result_code = ComputeTaskResultCode.OK
result.worker_id = self.node_id
result.result = {"file": file_name}
return result
except Exception as e:
logging.error(f"Call DallE failed. err: {e}")
task.error_str = str(e)
result.error_str = str(e)
task.state = ComputeTaskState.ERROR
return result
async def start(self):
if self.is_start:
return
self.is_start = True
async def _run_task_loop():
while True:
logger.info("Dall E node is waiting for task...")
task = await self.task_queue.get()
logger.info(f"Dall E node get task: {task.display()}")
result = self._run_task(task)
asyncio.create_task(_run_task_loop())
def display(self) -> str:
return f"DallE_ComputeNode: {self.node_id}"
def get_task_state(self, task_id: str):
pass
def get_capacity(self):
pass
def is_support(self, task: ComputeTask) -> bool:
return task.task_type == ComputeTaskType.TEXT_2_IMAGE
def is_local(self) -> bool:
return False