File size: 9,447 Bytes
e984a0e
d38fe54
 
 
 
 
 
 
cd84989
b628481
 
7ca96aa
 
c242b8c
876d26d
35b7ed6
cbc308a
251d42c
8bdb89d
184af71
 
 
 
26fc5e2
d38fe54
184af71
26fc5e2
 
 
d38fe54
26fc5e2
 
d38fe54
26fc5e2
d38fe54
5cfa481
9f7f597
 
d38fe54
2c03cb6
679ffd8
 
 
06a0cd9
679ffd8
 
 
 
 
 
2c03cb6
49567b1
2c03cb6
582ad23
8cea993
 
 
 
 
49567b1
8cea993
 
 
 
582ad23
2c03cb6
49567b1
b628481
2c03cb6
 
 
726fca1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
96888b9
726fca1
 
 
 
 
 
 
2c03cb6
 
 
 
 
 
 
 
 
 
1ad0d49
fdf65e3
0fb176f
a3e21b5
2d851c4
cbc308a
90cd972
a3e21b5
cbc308a
be43bb0
4baffa7
 
be43bb0
 
726fca1
90cd972
726fca1
 
90cd972
a3e21b5
1ad0d49
726fca1
 
7da9800
cbc308a
55045d8
90cd972
be2a33b
a3e21b5
bc7dec9
 
 
 
b628481
a3e21b5
 
2c03cb6
7ca96aa
33e8fe3
 
7ca96aa
 
 
 
 
 
 
2c03cb6
c242b8c
 
 
 
184af71
90cd972
523d3b6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c242b8c
 
523d3b6
 
 
 
c242b8c
0fb176f
251d42c
 
0fb176f
 
 
 
 
 
 
 
 
 
 
 
bbb6b7c
 
5cfa481
 
251d42c
 
 
 
 
 
66a66a5
523d3b6
89f1b16
523d3b6
 
 
 
 
7313a76
251d42c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
523d3b6
251d42c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5cfa481
 
55045d8
33cdb47
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
from fastapi import FastAPI, File, UploadFile,Body,Query,Response
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 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 asyncio #保证后台任务的先后
import json #对bili_meta_data进行dumps ->str和loads—>dict
import bilibili_api
import random #随机获取cover
import requests #用于请求其他space的图片api

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}




    
##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_all_files_and_folders(directory:str):
    for root, dirs, files in os.walk(directory, topdown=False):
        for name in files:
            file_path = os.path.join(root, name)
            print("删除指定目录函数检查到文件,删除文件:", file_path)
            os.remove(file_path)
        for name in dirs:
            dir_path = os.path.join(root, name)
            print("删除指定目录函数检查到目录,删除目录:", dir_path)
            os.rmdir(dir_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




#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
##能立刻返回的
@app.get("/execute_all_task")
async def execute_all_task(background_tasks: BackgroundTasks, bili_meta_data,file_list: List[str] = Query(["0filterImage","1removeMask", "2magiDialogCut", "3mergeDialogToVideo"]),
                             mp4_out_file: str = 'mp4_out/output.mp4',
                           allow_submit: bool = False
                           ):
    #cover_url因为本地上传有协程问题,所以采用cover_url然后转换为Picture类型即可->bilibili_api.utls.picture.Picture.from_url(str)->str
    print("获取到的用户bili_meta_data是:", bili_meta_data)
    #这里需要先转换bili_meta_data从str变成dict才能继续
    bili_meta_data = json.loads(bili_meta_data)
    print("获取到的file_list是",file_list)
    print("获取到的allow_submit是",allow_submit)
    
    background_tasks.add_task(process_tasks_and_upload, file_list, bili_meta_data, allow_submit,background_tasks)
    return {"message": "提交成功"}

def process_tasks_and_upload(file_list, bili_meta_data, allow_submit,background_tasks):
    tasks = []
    for file_name in file_list:
        tasks.append(file_executer(file_name))

    if allow_submit:
        #因为采用cover_url上传,所以不需要读取内容然后保存本地->这样也会引起协程问题
        print("bili的提交进程进行加入后台任务")
        background_tasks.add_task(upload_video,bili_meta_data)
##尝试能立刻返回的








##########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):
    #假设最多重新上传5次,上传cover超时那么选取随机图片重新作为cover上传
    max_attempts = 5
    attempts = 0
    while attempts < max_attempts:
    try:
        await upload_with_random_cover(meta);
    except Exception as e:
        print("上传video遇到错误,可能是cover不符合超时,下面将调用upload_with_random_cover函数")
        print(f"Attempt 第{attempts+1}次重新上传: 本次错误原因是Error : {e}")
        #重新上传会执行try的部分,所以except部分不用写upload again
        attempts += 1
    else:
        print("No errors occurred")
        break
        
    

        
        
        
        




#检测output.mp4下载查看生成效果(b不过审时用)
@app.get("/get_video")
async def get_video(dir:str = "/mp4_out/output.mp4")->"video file in header":
    video_file_path = dir
    video_file = open(video_file_path, "rb")
    video_data = video_file.read()
    video_file.close()
    
    response = Response(content=video_data, media_type="video/mp4")
    response.headers["Content-Disposition"] = "attachment; filename=output.mp4"
    
    return response




# 补零函数,将数字部分补齐为指定长度
def zero_pad(s, length):
    return s.zfill(length)


#如果默认的cover不能过审,那么随机选取无水印的manga1下面的随便一个作为cover重新上传
@app.get("/upload_again")
async def upload_again(bili_meta_data:str):
    bili_meta_data = json.loads(bili_meta_data)
    await upload_with_random_cover(bili_meta_data)


#这个函数单独拆开,因为手动和自动重新上传都需要调用
async def upload_with_random_cover(bili_meta_data:dict):
    meta = bili_meta_data
    credential = Credential(sessdata=sessdata,
                            bili_jct=bili_jct,
                            buvid3=buvid3)

    # 获取存放去水印漫画图片的路径
    img_path = 'manga1'
    #获取漫画原图无水印的加入image_files,并排序
    subdir_path = os.path.join(os.getcwd(), img_path)
    # 对话图片经过加入list并补0确定顺序
    image_files = []
    for root, dirs, files in os.walk(subdir_path):
        for file in files:
            if file.endswith(".jpg") or file.endswith(".png"):
                image_files.append(os.path.relpath(os.path.join(root, file)))
    # 对对话框文件名中的数字部分进行补零操作-这样顺序会正常
    image_files.sort(
        key=lambda x: zero_pad(''.join(filter(str.isdigit, os.path.splitext(os.path.basename(x))[0])), 3))

    # 获取随机一张图片图片存入cover/0.jpg作为cover图片,至于保存为cover/0.jpg而不是直接用是因为能在出错的时候看效果,通过/cover.jpg接口
    random_image = Image.open(random.choice(image_files))
    # 定义要保存的文件路径
    save_path = os.path.join("cover", "0.jpg")
    # 保存图片文件
    random_image.save(save_path)
    
    with open("cover/0.jpg", "rb") as f:
        cover_data = f.read()
    cover = bilibili_api.utils.picture.Picture.from_content(cover_data,"jpg")#直接读取本地图片content
    
    
    
    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)

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

    await uploader.start()




@app.get("/cover.jpg")
def get_cover_image():
    cover_dir = "cover"
    file_path = os.path.join(cover_dir, "0.jpg")
    return FileResponse(file_path)