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Basic review pass #3
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Original file line number | Diff line number | Diff line change |
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@@ -1,68 +1,63 @@ | ||
import os | ||
import time | ||
import boto3 | ||
import sys | ||
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from watchdog.observers import Observer | ||
from watchdog.events import FileSystemEventHandler | ||
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s3_bucket_name = "" | ||
filename = "" | ||
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class OnMyWatch: | ||
# Set the directory on watch | ||
watchDirectory = "e:/Code/indellinent/test/" | ||
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def __init__(self): | ||
def __init__(self, handlers): | ||
self.observer = Observer() | ||
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self.handlers = handlers | ||
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def run(self): | ||
event_handler = Handler() | ||
self.observer.schedule(event_handler, self.watchDirectory) | ||
for handler in self.handlers: | ||
self.observer.schedule(handler, self.watchDirectory) | ||
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self.observer.start() | ||
try: | ||
while True: | ||
time.sleep(5) | ||
except: | ||
while self.observer.isAlive(): | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. since this is a "running indefinitely" process add lots of logging to ensure useful diagnostic information? loguru is an easy way to add really simple logging to your app, but it does diverge from using the standard logging library (it seems to be fairly popular though). |
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self.observer.join(5) | ||
except KeyboardInterrupt: | ||
# user requested stop | ||
pass | ||
finally: | ||
self.observer.stop() | ||
self.observer.join() | ||
print("Observer Stopped") | ||
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self.observer.join() | ||
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class Handler(FileSystemEventHandler): | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. You might want to add type hinting. The use of type-hinting seems to becoming a norm in Python through use of static checkers such as flake8, pyright and mypy. Besides that, using type hints definitely helps with debugging and maintenance to help readers of the code understand what data is flowing where. IDE's such as PyCharm (and VSCode, I think) will also warn you when it's obvious that the wrong data type is being applied to type hints - useful for your own development as well. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Just remembered that boto3 is using some kind of dynamic type stuff (it's been a couple of years) so usually I had to use On the up-side, using |
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def __init__(self, s3_client, bucket_name, target_filename): | ||
self.s3 = s3_client | ||
self.bucket_name = bucket_name | ||
self.target_filename = target_filename | ||
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@staticmethod | ||
def on_any_event(event): | ||
def on_any_event(self, event): | ||
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if event.event_type == 'created' and filename in event.src_path : | ||
s3 = boto3.client( | ||
's3', | ||
region_name = os.environ['AWS_REGION'], | ||
aws_access_key_id = os.environ['AWS_ACCESS_KEY_ID'], | ||
aws_secret_access_key = os.environ['AWS_SECRET_ACCESS_KEY'] | ||
) | ||
if event.event_type == 'created' or event.event_type == 'closed' and self.target_filename in event.src_path: | ||
self.s3.upload_file(event.src_path, self.bucket_name, self.target_filename) | ||
print("Watchdog received %s event - %s." % (event.event_type, event.src_path)) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. use logging instead of print statements? (unless, of course, you are specifically wanting console output) There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think for this case I wanted console output, but that is good to know for future. |
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s3.upload_file(event.src_path, s3_bucket_name, filename) | ||
print("Watchdog received created event - % s." % event.src_path) | ||
elif event.event_type == 'modified' and filename in event.src_path : | ||
s3 = boto3.client( | ||
's3', | ||
region_name = os.environ['AWS_REGION'], | ||
aws_access_key_id = os.environ['AWS_ACCESS_KEY_ID'], | ||
aws_secret_access_key = os.environ['AWS_SECRET_ACCESS_KEY'] | ||
) | ||
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s3.upload_file(event.src_path, s3_bucket_name, filename) | ||
print("Watchdog received modified event - % s." % event.src_path) | ||
else: | ||
return None | ||
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if __name__ == '__main__': | ||
import argparse | ||
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parser = argparse.ArgumentParser( | ||
prog="monitor-specific-file", | ||
description="Monitor a specific file, and upload it to a specific s3 bucket", | ||
) | ||
parser.add_argument('s3_bucket_name') | ||
parser.add_argument('filename') | ||
args = parser.parse_args() | ||
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s3_bucket_name = args.s3_bucket_name | ||
filename = args.filename | ||
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s3 = boto3.client("s3") | ||
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#Set global variables as data that's passed from command line | ||
s3_bucket_name = sys.argv[1] | ||
filename = sys.argv[2] | ||
test_handler = Handler(s3, s3_bucket_name, filename) | ||
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watch = OnMyWatch() | ||
watch.run() | ||
watch = OnMyWatch([test_handler]) | ||
watch.run() |
Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,14 @@ | ||
[project] | ||
name = "monitor_specific_file" | ||
version = "0.0.1" | ||
readme = "README.md" | ||
requires-python = ">=3.7" | ||
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dependencies = [ | ||
"boto3", | ||
"watchdog", | ||
] | ||
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[build-system] | ||
requires = ["setuptools>=61.0"] | ||
build-backend = "setuptools.build_meta" |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Use
pathlib.Path
for easy path management?