Feature request #11733

add "add Data" functionality

Added by Tom Kralidis about 8 years ago. Updated over 5 years ago.

Category:MetaSearch Catalogue Client
Pull Request or Patch supplied:No Resolution:
Easy fix?:No Copied to github as #:19968


Allow the user to download data from the record (like a Shapefile, GeoTIFF, etc.) and load directly into the map canvas. See https://github.com/geopython/MetaSearch/wiki/Discovery-workflow for more info.

tl; dr; waiting on CSW with records with links to zipped Shapefile or GeoTIFF for implementation.

Full history at https://github.com/geopython/MetaSearch/issues/25


#1 Updated by Tom Kralidis over 7 years ago

  • Project changed from 218 to QGIS Application

#2 Updated by Tom Kralidis over 7 years ago

  • Category set to MetaSearch Catalogue Client

#3 Updated by jorge luis infante about 7 years ago

I'd like contribute with this functionality.
My idea is to implement the reading of the "missing" protocols (we have a lot in https://github.com/geopython/pycsw/wiki/Geonode-notes) in the library "owslib" or use the library "ftplib" in the plug, as shown in https://docs.python.org/2/library/ftplib.html?
I would also collaborate on access to PostgreSQL / PostGIS.
mainly because, in practice, access through wfs is extremely slow, for large layers (say, all parcels of a city like Rosario, Argentina).
Also, I do not know if there is, I would like to work on a mechanism checkin / checkout layers with concurrent access, and conflict resolution. Obviously, that's for later, but first I want to achieve, at least, to recover a layer efficiently, and have the possibility (which is why I thought ftp), of not having to expose the RDBMS network users.

#4 Updated by Tom Kralidis about 7 years ago

Note that current efforts around link types can be found in https://github.com/OSGeo/Cat-Interop/blob/master/LinkPropertyLookupTable.csv

I would go about this as follows:

  • add "Download Data" button
  • look for startswith('WWW:DOWNLOAD') to activate the "Download Data" button
  • at this point clicking the button should take you to a direct link
  • of the data. Maybe a generic approach is to open the URL in a web
  • browser if the URL is a directory listing (test with something like
if os.path.splitext(urlparse.urlparse('http://example.org/foo.xml').path)[1]:
    # download direct file
    # open in browser

#5 Updated by Giovanni Manghi over 5 years ago

  • Easy fix? set to No

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