This archive contains answers to questions sent to Unidata support through mid-2025. Note that the archive is no longer being updated. We provide the archive for reference; many of the answers presented here remain technically correct, even if somewhat outdated. For the most up-to-date information on the use of NSF Unidata software and data services, please consult the Software Documentation first.
Hi Jamie, I have some good news to report to you. I've been able to successfully implement the downloading and processing of pirep data on our backup edex server. Tomorrow I plan to make these changes on our production edex (the one you're pointing to) and then you should see the same results. One thing to note is that once I start it tomorrow, it can only gather data from that point on, so don't expect to see any data from today or earlier. The next thing I wanted to mention quickly was how to access the data through python. If you haven't already, you'll need to install the awips python package, this can be done with a pip install: pip install python-awips Then you should have the proper python libraries for the DAF. I wrote a small program which I've attached (pirepAccess.py) that should help you get started with what you want to do. I added some comments about what I tried to do and you can comment out lines if they're not necessary to you. Basically the program connects to the edex and prints out which data sets are available, and then uses pireps as its data set. I eventually print out all the turbulence intensity values that are returned from the pireps objects. Please let me know if this helps. Like I said, the production database won't be updated until tomorrow morning, so this script won't work until that's been done, but I wanted to respond to you sooner rather than later so you knew that progress has been made. Not all is lost. Thanks. --Shay Carter Software Engineer II UCAR - Unidata Ticket Details =================== Ticket ID: FTX-514016 Department: Support AWIPS Priority: Normal Status: Open =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.
#!/awips2/python/bin/python from ufpy.dataaccess import DataAccessLayer #connect to unidata edex DataAccessLayer.changeEDEXHost("edex-cloud.unidata.ucar.edu") #get a list of supported data types from the edex types = DataAccessLayer.getSupportedDatatypes() print(types) #create a request and set the data type req = DataAccessLayer.newDataRequest() req.setDatatype("pirep") #print out required identifiers #required = DataAccessLayer.getRequiredIdentifiers(req) #print(required) #print out optional identifiers #optional = DataAccessLayer.getOptionalIdentifiers(req) #print(optional) #print out available parameters param = DataAccessLayer.getAvailableParameters(req) print(param) #set the parameter to turbulence intensity req.setParameters("turbInten") print(req) #print out available location names locations = DataAccessLayer.getAvailableLocationNames(req) print locations #actually get the data for the request -- this returns an array data = DataAccessLayer.getGeometryData(req) #print out the turbulence intensity for one of the data objects in the array #print data[3].getString("turbInten") #cycle through all the objects and print out their turbulence intensities for d in data: print d.getString("turbInten")