I wanna share my files to clients.
Files are created in my server everyday. (ex. 20210701_A, 20210702_A ....)
Client will download today's file.
I already made choosing right file using python code.
But How can my clients download files from their own web?
(If possible, I want using Python)
Related
To start I managed to successfully run pywin32 locally where it opened the Excel workbooks and refreshed the SQL Query then saved and close them.
I had to download those workbooks locally from Sharepoint and have them sync to apply the changes using one drive.
My Question is would this be possible to do within Sharepoint itself ? Have a python script scheduled on a server and have the process occur there in the backend through a command.
I use this program called Alteryx where I can have batch files execute scripts and maybe I could use an API of some sort to accomplish this on a scheduled basis since thats the only server I have access to.
I have tried looking on this site and other sources but I can't find a post where it would reference this specifically.
I use Jupyter Notebooks to write my scripts and Alteryx to build a workflow with those scripts but I can use other IDEs if I need to.
I need to get a complete list of files in a folder and all its subfolders regularly (daily or weekly) to check for changes. The folder is located on a server that I access as a network share.
This folder currently contains about 250,000 subfolders and will continue to grow in the future.
I do not have any access to the server other than the ability to mount the filesystem R/W.
The way I currently retrieve the list of files is by using python's os.walk() function recursively on the folder. This is limited by the latency of the internet connection and currently takes about 4.5h to complete.
A faster way to do this would be to create a file server-side containing the whole list of files, then transfering this file to my computer.
Is there a way to request such a recursive listing of the files from the client side?
A python solution would be perfect, but I am open to other solutions as well.
My script is currently run on Windows, but will probably move to a Linux server in the future; an OS-agnostic solution would be best.
You have provided the answer to your question:
I do not have any access to the server other than the ability to mount the filesystem R/W.
Nothing has to be added after that, since any server side processing requires the ability to (directly or indirectly) launch a process on the server.
If you can collaborate with the server admins, you could ask them to periodically start a server side script that would build a compressed archive (for example a zip file) containing the files you need, and move it in a specific location when done. Then you would only download that compressed archive saving a lot of network bandwidth.
You can approach this in multiple ways. I would do this by doing a running a script over ssh like
ssh xys#server 'bash -s' < local_script_togetfilenames.sh
If you prefer python you can run a similar python script by adding #!python assuming python is installed on the server
If you want to stick to fully python you should explore python RPC(Remote process call)
You can use rPyC library . Documentation is
here
I have designed a small, simple and static website offline in odoo 8. It is on my computer: Localhost.
I want to transfer these files to domain server which is on Windows and database in MySQL.
Which files I have to pick up from my PC to transfer to web server?
What is the path for these files? (Right now I can see files in C:\Program Files (x86)\Odoo 8.0-20150526. But I am not able to find website module files e.g. images or index etc.).
Can you help me by steps how and which files to pick up and upload through FTP like Filezilla?
Will Python site work on Windows Server?
Its pretty simple you dont need to copy python any files, thats not right way in odoo, right way is as following.
First Deploy the same version of Odoo from nightly to your domain and then take back-up of your local instnace with "Zip (inclues filestore)" option. and then restore that copy on your domain instance.
Guide to How to Backup and Restore
Bests
I'm building a desktop application for Windows in Python 2.7. The primary function of this application is to watch a folder for new files. Whenever a new file appears in this folder the app uploads it to remote server. The process on the remote server creates a db record for the file and stores remote file path in that record.
Currently I'm using watchdog to monitor directory and httplib for file upload.
What approach should I take to ensure that a new file will be uploaded reliably regardless of a network condition or internet connection loss?
Update: What I mean by reliable upload is that the app will upload the file even if the app restarts. Like Dropbox. Some files are quite big (> 100 MB) so simple solutions like wrapping the code in try / catch and starting the upload all over is not very efficient. I know Dropbox uses librsync, but it might be overkill in this case.
What if the source file has been changed during the upload? Should I stop the upload and start over?
You could maintain file or database of files names, timestamps and information about their upload status. Based on that data You will know what files were already sent and what to upload after any restart of application or computer.
Checking timestamps tells You that file has been modified and upload process should be started over.
I have a Python 2.7 script that produces *.csv files. I'd like to run this Python script on a remote server and make the *.csv files publicly available to read.
Can this be done on Heroku? I've gone through the tutorial, but it seems to be geared towards people who want to create a whole web site.
If Heroku isn't the solution for me, what are the alternatives? I tried Google App Engine, but it requires Python 2.5 and won't work with 2.7.
MORE DETAILS:
I have a Python 2.7 script that analyzes all stocks that trade on the AMEX, NYSE, and NASDAQ exchanges and writes the output into *.csv files that can be read with a spreadsheet application. I want the script to automatically run every night on a remote server, and I want the *.csv files it produces to be publicly available.
Web hosting
Ok so you should be able to achieve what you need pretty simply. There are many webhosts that have python support. Your requirement is pretty simple. Just upload your python scripts to the web server. Then you can schedule a cron job to call your script at a specific time every day. Your script will run as scheduled and should save the csv files in the web servers document root. Keep in mind you don't need to your script to run in the web server, just on the same server. The web server will just serve your static csv files for you once you place them in the webserver's document root.
Desktop with dropbox
Another maybe easier option is take any desktop and schedule your python script to run on it each night you can do this in windows, Linux, Mac. Also install dropbox it gives you 2GB free online storage. Then your scripts just have to save the csv fies to the Dropbox/Public directory. When they do this they will automatically get synced to the dropbox servers and can be accessed through your public url like any other web page on the internet. You get 2GB for free which should be more then enough for a whole bunch of CSV files.