api.py

from fastapi import FastAPI, File, UploadFile,Body
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
from PIL import Image
import numpy as np
import urllib.request
import io
import os
from moviepyTest import test
from typing import *
from fastapi.responses import PlainTextResponse #执行其他py的plaintext返回
import subprocess
from fastapi import BackgroundTasks
import time
from bilibili_api import sync, video_uploader, Credential#bili上传部分
import concurrent.futures #线程保证后台任务的先后


sessdata = os.getenv('sessdata')
bili_jct = os.getenv('bili_jct')
buvid3 = os.getenv('buvid3')
app = FastAPI()


@app.get("/inference")
def inference():
    return "<p>Hello, World!</p>"
    
@app.get("/infer_t5")
def t5(input):
    
    return {"output": input}

@app.get("/moviepyTest")
def t5():
    result = test()
    
    return {"output": result}


    
##这个比较快不用异步
@app.post("/getOriginalMangaList") #增加指定保存路径功能,默认是/manga路径
def getOriginalMangaList(images: List[UploadFile] = File(...), save_path: str = "/manga"):
    saved_files = []
    for idx, image in enumerate(images):
        img = image.file.read()
        image_data = Image.open(io.BytesIO(img)).convert("L").convert("RGB")
        path_to_image = os.path.join(save_path, f"{idx}.jpg")
        image_data.save(path_to_image)
        saved_files.append(path_to_image)
    return {"message": "Images saved successfully", "saved_files": saved_files}
##这个比较快不用异步

##这个比较快不用异步
@app.delete("/deleteFiles")
async def delete_files(directory: str):
    for filename in os.listdir(directory):
        file_path = os.path.join(directory, filename)
        if os.path.isfile(file_path):
            os.remove(file_path)
    return {"message": f"成功删除{directory}目录下的所有文件"}
##这个比较快不用异步




########异步处理py文件执行接口
def file_executer(file_name:str)->"执行返回":
    try:
        print("开始执行py任务",file_name)
        # result = subprocess.check_output(["python", f"{file_name}.py"], stderr=subprocess.STDOUT).decode("utf-8")#执行完成后显示运行py的print
        ##########test 边执行py边显示print+++++++++++++++++++++++++++++++++++++
        # 开始执行Python 脚本
        output = []
        process = subprocess.Popen(["python", f"{file_name}.py"], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
        # 逐行读取脚本的输出并显示
        for line in iter(process.stdout.readline, b''):
            line_text = line.decode('utf-8').strip()
            print(line_text)
            output.append(line_text)
        process.wait()
        result = '\n'.join(output)
        ##########test 边执行py边显示print+++++++++++++++++++++++++++++++++++++
        
        print("执行完成py任务:",file_name,"结果如下")
        print(result)
        return PlainTextResponse(result)
    except subprocess.CalledProcessError as e:
        print("执行py任务失败",file_name,"原因如下")
        print(f"Error executing {file_name}.py: {e}")
        return PlainTextResponse(f"Error executing {file_name}.py: {e}")
    
@app.get("/execute_py_file/{file_name}")
async def execute_py_file(file_name: str,background_tasks: BackgroundTasks):
    result = "接受到了请求{filename}任务".format(filename = file_name)
    background_tasks.add_task(file_executer,file_name)
    return result
########异步处理py文件执行接口




#收到图片后为了后台任务的顺序,单独设定一个函数依次将自定义执行顺序加入队列 ,有默认参数的写后面-并且和bili合并,不然还要等output.mp4生成后才能发起提交请求
# @app.get("/execute_all_task")
# async def execute_all_task(background_tasks: BackgroundTasks,file_list: list = ["1removeMask", "2magiDialogCut", "3mergeDialogToVideo"],
#                            bili_meta_data:dict = None,cover_image: UploadFile = File(...),mp4_out_file:str='mp4_out/output.mp4',
#                            allow_submit:bool=False,cover_path:str ='/cover'
                           
#                           ):
#     for file_name in file_list:
#         background_tasks.add_task(file_executer, file_name)
#     if allow_submit:
#         #如果请求中设置允许上传output.mp4
#         cover_img = cover_image.file.read()
#         cover_img_data = Image.open(io.BytesIO(cover_img)).convert("L").convert("RGB")
#         cover_path_to_image = os.path.join(cover_path, f"cover.jpg")
#         cover_img_data.save(cover_path_to_image)
#         #video数据从meta用户请求获取,至于
#         background_tasks.add_task(upload_video, bili_meta_data,cover_path_to_image)
#         return {"message": "提交video任务已加入队列"}
        
#     return {"message": "Tasks added to the queue"}


#保证既要提交队列后返回给用户,又要先完成前面的video生成步骤再执行后面的submit函数,还有兼顾allow_submit的值
@app.get("/execute_all_task")
async def execute_all_task(background_tasks: BackgroundTasks, file_list: list = ["1removeMask", "2magiDialogCut", "3mergeDialogToVideo"],
                           bili_meta_data: dict = None, cover_image: UploadFile = File(...), mp4_out_file: str = 'mp4_out/output.mp4',
                           allow_submit: bool = False, cover_path: str = '/cover'
                           ):
    tasks = []
    for file_name in file_list:
        tasks.append(file_executer(file_name))

    await asyncio.gather(*tasks)#使用asyncio.gather(*tasks)来等待所有file_executer任务完成后再执行upload_video任务。

    if allow_submit:
        cover_img = cover_image.file.read()
        cover_img_data = Image.open(io.BytesIO(cover_img)).convert("L").convert("RGB")
        cover_path_to_image = os.path.join(cover_path, f"cover.jpg")
        cover_img_data.save(cover_path_to_image)
        background_tasks.add_task(upload_video, bili_meta_data, cover_path_to_image)
        return {"message": "提交video任务已加入队列"}

    return {"message": "Tasks added to the queue"}







##########异步样例
def someTask():
    time.sleep(20)
    print("睡眠20s结束")
    
@app.get("/backTaskTest")
def returnRandomSubscribeUrl(background_tasks: BackgroundTasks)->str:
    #返回
    result = "先返回"
    background_tasks.add_task(someTask)
    return result
##########异步样例





async def upload_video(meta:dict,cover_path_to_image:str):
    credential = Credential(sessdata=sessdata,
                            bili_jct=bili_jct,
                            buvid3=buvid3)
    
    
    page = video_uploader.VideoUploaderPage(path='mp4_out/output_video.mp4', title=meta['title'], description=meta['desc'])
    
    uploader = video_uploader.VideoUploader([page], meta, credential, cover=cover_path_to_image)

    @uploader.on("__ALL__")
    async def ev(data):
        print(data)

    await uploader.start()