davos | Web-based FTP automation for Linux servers | FTP library
kandi X-RAY | davos Summary
kandi X-RAY | davos Summary
davos is an FTP download automation tool that allows you to scan various FTP servers for files you are interested in. This can be used to configure file feeds as part of a wider workflow.
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Top functions reviewed by kandi - BETA
- Performs the actual download
- Filter all files from the last scan
- Filter files by name
- Performs a single FTP transfer
- Runs all the post download actions
- Create a new schedule
- Checks if a schedule post payload is valid
- Tests connection
- Convert from source host to HostModel
- Generate download actions
- Create progress listener
- Checks that no files are downloaded
- Checks to see if a schedule exists for a given server
- Download all files not matching the filters
- Update a schedule
- Updates the model
- Test connection
- Update a host
- Download a FTP file
- Send message to generic api
- Checks that the filtered files are downloaded
- Retrieves the current version from GitHub
- Convert a ftpTransfer object to a Transfer Transfer Object
- Download file
- Sends a notification to the Pushbullet
- Upload a new file to SNS
davos Key Features
davos Examples and Code Snippets
Community Discussions
Trending Discussions on davos
QUESTION
For my CAS term paper of the Basic DataScience Semester I'm parsing a news website with all the articles and their meta data (author, title, subtitle, summary, tags, category, subcategory, creation dt, update dt etc.) - inspired by this guy https://www.youtube.com/watch?v=-YpwsdRKt8Q
Everything works quite well, my raspberry pi is collecting this data all 15 mins and so on.
I just have one problem. I'd like to create a correlation network out of the tags. This tag column looks like
0 panorama,schweiz,verkehr,news 1 sport,schweiz,eishockey,news 2 stans,panorama,verkehr,strassenverkehr,news 3 eishockey,sport,davos,news 4 wirtschaft,schweiz,konsum,kaffeetee,news 5 jeanclaudegerber,news,srilanka,tiere,wissen 6 schule,bellinzona,panorama,news 7 luzern,jrgenklopp,fussball,news 8 panorama,klima,gretathunberg,lissabon,news 9 australien,vermisstmeldung,gesellschaft,news 10 gesellschaft,amerika,news,ausstellung
Now I wanna calculate the correlations between the tags. e.g. in the first row "panorama" has 1 line to "schweiz", "verkehr", "news" "schweiz" has 1 line to "panorama", "verkehr", "news" and so on. Sometimes there are 3 tags, sometimes up to 7, 8.
I'd like to have a script running through all the lines and calculate this correlation and summarize it up.
First question, could someone give me a hint how I can do this? Are there moduls which could help? Even for a small hint I would be very grateful.
And last question, could someone also give me a hint how I could visualize this. I'd like to have a network plot where I see whole map. The most common tags bigger ans the linewidth of the most common connections also thicker.
My mainproblem is, I even don't know for what I have to look. You probably noticed that english is not my native language and in german I haven't found something that really helped me ;-)
Thanks a lot and Cheers from Switzerland marco
edit, PS: in order to specify more properly. All the tags in the list are tags. So if I have:
panorama,schweiz,verkehr,news
These are 4 tags and everyone of it is related to the other three ones.
...ANSWER
Answered 2019-Dec-06 at 09:02Someone another idea or a hint, how I could create a Matrix with all tags in the X and in the Y axis and count in the values the occurences of this relationship?
QUESTION
Given is a list with several element, the goal is to get them into a data frame. The map_df
function from the purr package is highly useful with regular lists, but gives an error with irregular lists.
For instance, following this tutorial the following works:
...ANSWER
Answered 2019-Aug-15 at 20:28The devel version of tidyr has powerful new "unnesting" functions and they can handle this problematic data (Option 1). Another approach to this is to attack the problem column-wise, which lets you use the .default
argument to purrr::map()
, which provides a value to use for missing elements (Option 2).
QUESTION
I have a side-project website, where people can comment on stuff , now I need to display user's comments and the username of commenter. The problem is that I can't get a username of logged in user.
Comment Examples :
1)
Commented By - Shelo
Test Comment
2)
Commented By - ProGa
Test Comment 2
Now, The problem is that If I try to get the "currently logged in" user's username, both comments will have same username when user logges in
...ANSWER
Answered 2019-Feb-22 at 10:46As mentioned in the comments, you have to change your data modeling.
For example you can implement something like this:
QUESTION
I'm trying to call a new endpoint to display data, I realise that in the previous set of data that works, it consoles with an extra '[]' pair of brackets around the data, I think this is where the problem is, whereas the new endpoint doesnt produce it with the way im using the data!
it's the NgFor thats failing: Cannot find a differ supporting object '[object Object]' of type 'Industry's Next Frontier'. NgFor only supports binding to Iterables such as Arrays.
the old endpoint uses an interface to store the data and just accesses that, while the new endpoint returns the json and trys to store it in an array to then be used by the ngfor.
I'll show first the html code:
...ANSWER
Answered 2018-Dec-14 at 15:42You should loop sessionData
not sessions
QUESTION
I am new to R. I have found the number of positive-negative words (953 negative, 458 positive) in my document, but I want to see these words. How can I do it?
...ANSWER
Answered 2018-Mar-24 at 13:09Something like this ?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install davos
You can use davos like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the davos component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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