Spike for getting weather forecasts from Yr

gistfile1.sc

def openAnything(source):            
    """URI, filename, or string --> stream

    This function lets you define parsers that take any input source
    (URL, pathname to local or network file, or actual data as a string)
    and deal with it in a uniform manner.  Returned object is guaranteed
    to have all the basic stdio read methods (read, readline, readlines).
    Just .close() the object when you're done with it.
    
    Examples:
    >>> from xml.dom import minidom
    >>> sock = openAnything("http://localhost/kant.xml")
    >>> doc = minidom.parse(sock)
    >>> sock.close()
    >>> sock = openAnything("c:\\inetpub\\wwwroot\\kant.xml")
    >>> doc = minidom.parse(sock)
    >>> sock.close()
    >>> sock = openAnything("<ref id='conjunction'><text>and</text><text>or</text></ref>")
    >>> doc = minidom.parse(sock)
    >>> sock.close()
    """
    if hasattr(source, "read"):
        return source

    if source == '-':
        import sys
        return sys.stdin

    # try to open with urllib (if source is http, ftp, or file URL)
    import urllib                         
    try:                                  
        return urllib.urlopen(source)     
    except (IOError, OSError):            
        pass                              
    
    # try to open with native open function (if source is pathname)
    try:                                  
        return open(source)               
    except (IOError, OSError):            
        pass                              
    
    # treat source as string
    return StringIO.StringIO(str(source)) 


from xml.dom import minidom

class Forecast:
  def __init__(self,a_node):
    self.node = a_node
    self.parse_xml_tree()
  
  def parse_xml_tree(self):
    pass

class Location:
  def __init__(self, lat, lng):
    self.forecasts = []
    url = "http://api.yr.no/weatherapi/locationforecast/1.5/?lat=%f;lon=%f" % (lat, lng)
    sock = openAnything(url)
    doc = minidom.parse(sock)
    sock.close
    forecast = Forecast(doc)
    self.forecasts.append(forecast)
    
f = Location(10.99, 11.22)