Feature request #11733
add "add Data" functionality
Status: | Open | ||
---|---|---|---|
Priority: | Normal | ||
Assignee: | - | ||
Category: | MetaSearch Catalogue Client | ||
Pull Request or Patch supplied: | No | Resolution: | |
Easy fix?: | No | Copied to github as #: | 19968 |
Description
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
History
#1 Updated by Tom Kralidis about 9 years ago
- Project changed from 218 to QGIS Application
#2 Updated by Tom Kralidis about 9 years ago
- Category set to MetaSearch Catalogue Client
#3 Updated by jorge luis infante almost 9 years ago
Hi
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 almost 9 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 else: # open in browser
#5 Updated by Giovanni Manghi over 7 years ago
- Easy fix? set to No