pyiem.nws.products.ero module#

Eh, I am able to parse the SPC PTS now, so why not add more pain.

Weather Prediction Center Excessive Rainfall Outlook.

pyiem.nws.products.ero.init_days(prod)[source]#

Figure out which days this product should have based on the AFOS.

pyiem.nws.products.ero.compute_loc(lon, lat, dist, bearing)[source]#

Estimate a lat/lon

pyiem.nws.products.ero.sid_rectify(sid)[source]#

Ensure it matches our nomenclature.

pyiem.nws.products.ero.meat2segment(meat)[source]#

Convert into a list of points.

pyiem.nws.products.ero.jabber_messages(valid, outlook_collections)[source]#

Generate a list of Jabber messages to send.

Parameters:

  • valid (datetime) – the valid time of the outlook

  • outlook_collections (dict) – a list of OutlookCollection objects

Returns:

a list of Jabber messages [(plain, html, xtradict), …]

Return type:

list

pyiem.nws.products.ero.compute_wfos(outlook_collections)[source]#

Compute the WFOs affected for each outlook in collection.

class pyiem.nws.products.ero.ERO(text, utcnow=None, ugc_provider=None, nwsli_provider=None)[source]#

Bases: TextProduct

A class representing the polygons and metadata in WPC ERO Product

get_outlookcollection(day)[source]#

Returns the OutlookCollection for a given day

get_outlook(category, threshold, day)[source]#

Get an outlook by category and threshold

draw_outlooks()[source]#

For debugging, draw the outlooks on a simple map for inspection!

find_issue_expire()[source]#

Determine the period this product is valid for

find_outlooks()[source]#

Find the outlook sections within the text product!

sql(txn)[source]#

Do database work

Parameters:

txn (psycopg.cursor) – database cursor

get_jabbers(uri, _uri2=None)[source]#

Wordsmith the Jabber/Twitter Messaging

pyiem.nws.products.ero.parser(text, utcnow=None, ugc_provider=None, nwsli_provider=None)[source]#

Parse this text!