The item Apple iPhone 5 16GB "Factory Unlocked" Black and White Smartphone has been watched 16946 times The item Samsung G900 Galaxy S5 Verizon Wireless 4G LTE 16GB Android Smartphone has been watched 17651 times The item Apple iPhone 6 64GB "Factory Unlocked" 4G LTE 8MP Camera WiFi iOS Smartphone has been watched 17683 times The item Apple iPhone 5C 16GB "Factory Unlocked" 4G LTE Smartphone has been watched 18514 times The item Apple iPhone 6 16GB 64GB 128GB GSM"Factory Unlocked"Smartphone Gold Gray Silver* has been watched 23441 times The item Apple iPhone 5S 16GB "Factory Unlocked" 4G LTE iOS Smartphone has been watched 26076 times This means that if you already set your credentials like we did in the second article of this series, everything is already in place in your ebay.yaml file: Although the endpoint for the Merchandising API is different from that of the Finding API, the used domain is the same:. In this example we will run our API call on the production website instead of the sandbox, since we want to obtain real results, and the call its pretty safe. Setting the credentials in the ebay.yaml file The name of the call is pretty self-explanatory: by using this it, we can retrieve data about the items with the highest watch count, for an entire site, or for a specific category we can specify in the request. Just like we did in the other articles, we will focus on one specific call the API, in this case getMostWatchedItems. At a low level, request and responses for an API call are represented by using an xml structure, but thanks to the Ebay python SDK we can further abstract their creation and manipulation, using object oriented concepts. The getMostWatchedItems callĪt this point of the series, you should already be quite familiar with the way the python SDK let us work with Ebay APIs. The just mentioned call is the one we will focus on in this tutorial. So, let’s start creating four different functions that will be used when a file is modified, created, deleted or moved.The Merchandising API can be very useful to help a seller attract more buyers, by, for example, adapting his activity to existing buying habits or trends which can be analyzed by looking at the result of some specific calls like getMostWatchedItems. Now that we have created the handler we need to write the code we want to run when the events are raised. The “patterns” variable contains the file patterns we want to handle (in my scenario, I will handle all the files), the “ignore_patterns” variable contains the patterns that we don’t want to handle, the “ignore_directories” is just a boolean that we can set to True if we want to be notified just for regular files (not for directories) and the “case_sensitive” variable is just another boolean that, if set to “True”, made the patterns we previously introduced “case sensitive” (that’s normally a good idea, unless you are working with stupid case-insensitive-file-systems… yeah, I’m talking about you Windows! :P ). In my example I have used some variables just to made the configuration of the event handler a little bit easier to be undestood. If _name_ = "_main_" : patterns = ignore_patterns = None ignore_directories = False case_sensitive = True my_event_handler = PatternMatchingEventHandler ( patterns, ignore_patterns, ignore_directories, case_sensitive ) Now, create your virtual environment (optional but raccomended… at least by me), activate it and install the package watchdog with the following command: If you want to find out more about virtual environments (that’s probabilly because you haven’t read all my previous post, so shame on you!), just have a look at this article. As always, I raccomand to use virtual environments instead of installing packages system wide. To code this program we will need an additional module called “watchdog” (wow, who could have guessed it?) written by Yesudeep Mangalapilly, so let’s start by installing it. So, today we will code a watchdog in Python. Your program could set a watchdog to monitor that file and if the configuration file is modified you could think to reload it and apply the new configuration at runtime, without the need of restarting your program. When a change occurs, the watchdog report it to us raising a specific event that we can handle.įor example, let’s suppose you have developed a program that use a configuration file. But what is a “watchdog”?Ī watchdog is a little piece of software that monitors our filesystem looking for any changes (like the creation, change or deletion of a file or of a directory). Hey guys, today’s post is about how to create a watchdog in Python. How to create a watchdog in Python to look for filesystem changes
0 Comments
Leave a Reply. |