def get_awards(self):
'''
Provides an index of available awards.
Args:
None
Returns:
awards (list): Returns the list of all awards.
'''
# Get a list of all the award processors
processors = stat_mgr.get_processors('awards')
# Build an index of the available awards
awards = list()
for processor in processors:
awards.append({
'id': processor.id,
'name': processor.name,
'desc': processor.desc
})
# Sort the index by award name
awards.sort(key=lambda a: a['name'].lower())
return awards
def get_award(self, id):
'''
Provides details for a specific award based on the given award
identifier.
Args:
id (string): The unique identifier of an award.
Returns:
award (object): Detailed information for a specific award.
'''
# Get the processor for the requested award
processor = stat_mgr.get_processor(id)
if not processor: raise cherrypy.HTTPError(404)
processors = stat_mgr.get_processors(processor.processor_type)
prev_id = None
if processor.type_index > 0:
prev_id = processors[processor.type_index - 1].id
next_id = None
if processor.type_index < len(processors) - 1:
next_id = processors[processor.type_index + 1].id
# Respond with a summary of the award information
return {
'id': processor.id,
'name': processor.name,
'desc': processor.desc,
'columns': processor.columns,
'notes': processor.notes,
'rows': processor.get_results(),
'prev_id': prev_id,
'next_id': next_id
}
def get_awards(self):
"""
Provides an index of available awards.
Args:
None
Returns:
awards (list): Returns the list of all awards.
"""
# Get a list of all the award processors
processors = stat_mgr.get_processors("awards")
# Build an index of the available awards
awards = list()
for processor in processors:
awards.append({"id": processor.id, "name": processor.name, "desc": processor.desc})
# Sort the index by award name
awards.sort(key=lambda a: a["name"].lower())
return awards
def post_process(self):
# Get a list of all the award processors
processors = stat_mgr.get_processors('awards')
# Skip the current award
processors.remove(self)
for processor in processors:
results = processor.get_results()
if len(results) > 0:
player_id = results[0][0]['id']
gold = model_mgr.get_player( player_id )
self.results[gold] += 1
if len(results) > 1:
player_id = results[1][0]['id']
silver = model_mgr.get_player( player_id )
self.results[silver] += 1
if len(results) > 2:
player_id = results[2][0]['id']
bronze = model_mgr.get_player( player_id )
self.results[bronze] += 1
def get_award(self, id):
"""
Provides details for a specific award based on the given award
identifier.
Args:
id (string): The unique identifier of an award.
Returns:
award (object): Detailed information for a specific award.
"""
# Get the processor for the requested award
processor = stat_mgr.get_processor(id)
if not processor:
raise cherrypy.HTTPError(404)
processors = stat_mgr.get_processors(processor.processor_type)
prev_id = None
if processor.type_index > 0:
prev_id = processors[processor.type_index - 1].id
next_id = None
if processor.type_index < len(processors) - 1:
next_id = processors[processor.type_index + 1].id
# Respond with a summary of the award information
return {
"id": processor.id,
"name": processor.name,
"desc": processor.desc,
"columns": processor.columns,
"notes": processor.notes,
"rows": processor.get_results(),
"prev_id": prev_id,
"next_id": next_id,
}
