我有一个有趣的问题要把我逼疯。我有一个使用watchdog.observers.Observer的python程序。此程序(又名观察者)监视文件夹,并在文件出现时作出响应。我有另一个程序(也就是解析器),它定期地用文件填充被监视的文件夹。
这是我的观察代码:
import os
import sys
import time
from watchdog.observers import Observer
from event_handler import ImagesEventHandler
from constants import ROOT_FOLDER, IMAGES_FOLDER, CWD
class ImagesWatcher:
def __init__(self, src_path):
self.__src_path = src_path
print(self.__src_path)
self.__event_handler = ImagesEventHandler()
self.__event_observer = Observer()
print("********** Inside ImagesWatcher --init__ method just after instantiating ImagesEventHandler and Observer **************")
def run(self):
print("********** Inside ImagesWatcher run method **************")
self.start()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
self.stop()
def start(self):
print("********** Inside ImagesWatcher start method **************")
self.__schedule()
self.__event_observer.start()
def stop(self):
print("********** Inside ImagesWatcher stop method **************")
self.__event_observer.stop()
self.__event_observer.join()
def __schedule(self):
print("********** Inside ImagesWatcher __schedule method **************")
print(self.__src_path)
self.__event_observer.schedule(
self.__event_handler,
self.__src_path,
recursive=True
)
if __name__ == "__main__":
src_path = sys.argv[1] if len(sys.argv) > 1 else CWD
src_path = os.path.abspath(src_path)
watch_path = os.path.join(src_path, ROOT_FOLDER)
watch_path = os.path.join(watch_path, IMAGES_FOLDER)
print('watch_path: ' + watch_path)
if not os.path.exists(watch_path):
os.makedirs(watch_path)
print('just created: ' + watch_path)
ImagesWatcher(watch_path).run()下面是关联的事件处理程序代码:
import os
from PIL import Image
from watchdog.events import FileSystemEventHandler
from lambda_function import lambda_handler
from time import sleep
from os.path import dirname, abspath
class ImagesEventHandler(FileSystemEventHandler):
def __init__(self,):
print("********** Inside event handler __init__ method **************")
def on_created(self, event):
print("********** Inside event handler on_created method **************")
self.process(event)
def process(self, event):
print("********** Inside event handler process method **************")
sleep(2)
image = Image.open(event.src_path)
tracking_dir=os.path.join(dirname(dirname(abspath(event.src_path))),'Tracking')
print("******************** tracking_dir: ' + tracking_dir + ' ********************")
lambda_handler(image,tracking_dir)监视程序的停止方法永远不会执行。事件处理程序的init方法被执行,但是on_created和process方法都没有被执行。
下面是我如何构建和运行码头容器:
docker build -t watcher -f docker/watcher/Dockerfile .
docker run -d --network onprem_network -v c:\My_MR:/code/My_MR --name watcher watcher
docker build -t parser -f docker/parser/Dockerfile .
docker run -d --network onprem_network -v c:\My_MR:/code/My_MR --name parser parser 我的观察者Dockerfile:
FROM python:3.7.9
ENV PYTHONUNBUFFERED 1
ENV PYTHONDONTWRITEBYTECODE 1
COPY requirements.txt /requirements.txt
RUN pip install --upgrade pip -r /requirements.txt && mkdir /code
WORKDIR /code
COPY . /code/
RUN apt update && apt-get update && apt install tesseract-ocr -y && apt-get install ffmpeg libsm6 libxext6 -y
CMD ["python", "/code/watcher.py"]我的解析器Dockerfile:
FROM python:3.7.9
ENV PYTHONUNBUFFERED 1
ENV PYTHONDONTWRITEBYTECODE 1
COPY requirements.txt /requirements.txt
RUN pip install --upgrade pip -r /requirements.txt && mkdir /code
WORKDIR /code
COPY . /code/
RUN apt update && apt-get update && apt-get install ffmpeg -y
CMD ["python", "/code/parser.py"]我的requirements.txt:
Pillow == 5.4.1
gql == 3.0.0a5
matplotlib == 3.0.3
numpy == 1.16.2
opencv_python == 4.4.0.44
pandas == 0.24.2
pytesseract == 0.2.6
python_ffmpeg_video_streaming == 0.1.14
watchdog == 2.0.2
requests
tesseract任何帮助都将不胜感激。
发布于 2021-04-10 01:11:22
监视狗用于监视linux文件系统事件的底层API称为inotify。Windows 2后端文档的Docker指出:
如果原始文件存储在Linux文件系统中,Linux容器只接收文件更改事件(“inotify事件”)。
您正在挂载的目录c:\My_MR驻留在Windows文件系统中,因此在监视器容器中inotify无法工作。
相反,您可以使用linux文件系统路径(例如,)从WSL 2默认发行版中的~/my_mr中运行docker。
docker run -d --network onprem_network -v ~/my_mr:/code/My_MR --name watcher watcher
docker run -d --network onprem_network -v ~/my_mr:/code/My_MR --name parser parser 当WSL 2发行版使用\\wsl$\网络路径运行时,可以从Windows访问该目录,即\\wsl$\<Distro name>\home\<username>\my_mr (更多信息这里)。因此,我相信docker run也可以在Windows中使用\\wsl$\路径和-v。
发布于 2022-01-12 18:33:19
Docker Windows卷监视程序
也可以使用码头Windows卷监视器。Python脚本监视托管在Windows上的Docker容器的文件夹绑定,并通过文件更改更新这些容器。
使用pip安装(支持Python2& 3)。
pip install docker-windows-volume-watcher监视所有容器的所有目录绑定。
docker-volume-watcher只监视容器container_name的绑定。
docker-volume-watcher container_name只监视container_name与宿主目录C:\some\目录的绑定。
docker-volume-watcher container_name C:\some\directory局限性
https://forums.docker.com/t/file-system-watch-does-not-work-with-mounted-volumes/12038/9 http://blog.subjectify.us/miscellaneous/2017/04/24/docker-for-windows-watch-bindings.html
看门狗和PollingObserver()
另一个解决方案是使用类PollingObserver。但是,如果看门狗必须用一个时间表监视多个文件和文件夹,则速度要慢得多。
import sys
import time
import logging
from watchdog.observers.polling import PollingObserver
from watchdog.events import LoggingEventHandler
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
event_handler = LoggingEventHandler()
observer = PollingObserver()
# Limit the number of files by setup multiple schedule
observer.schedule(event_handler, '/folder/subfolder') # All files in a subfolder
observer.schedule(event_handler, '/folder/file') # A file
observer.schedule(event_handler, '/folder/file2') # A file
# etc...
observer.start()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
observer.stop()
observer.join()https://stackoverflow.com/questions/66909254
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