def get(cls, dao, id, provider_maker, providers_config):
now = time.time()
item_doc = dao.get(id)
item = cls.item_class(dao, id=id)
if item_doc is None:
raise LookupError
item.last_requested = now
# first, just copy everything from the item_doc the DB gave us
for k in item_doc:
if k not in ["_id", "_rev"]:
setattr(item, k, item_doc[k])
# the aliases property needs to be an Aliases obj, not a dict.
item.aliases = Aliases(seed=item_doc['aliases'])
# make the Metric objects. We have to make keys for each metric in the config
# so that Providers will know which metrics to update later on.
# Then we fill these Metric objects's dictionaries with the metricSnaps
# from the db.
item.metrics = {}
metric_names = cls.get_metric_names(providers_config)
for full_metric_name in metric_names:
try:
my_metric = item_doc["metrics"][full_metric_name]
except KeyError: #this metric ain't in the item_doc from the db
my_metric = {'values': {} }
(provider_name, metric_name) = full_metric_name.split(":")
# make the provenance url
# FIXME problem if alias needed for provenance url not obtained yet?
aliases_list = item.aliases.get_aliases_list()
provider = provider_maker(provider_name)
provenance_url = provider.provenance_url(metric_name, aliases_list)
my_metric["provenance_url"] = provenance_url
# populate the static_meta only if it has a provenance url
if provenance_url:
metric_static_meta = providers_config[provider_name]["metrics"][metric_name]["static_meta"]
my_metric["static_meta"] = metric_static_meta
else:
my_metric["static_meta"] = {}
item.metrics[full_metric_name] = my_metric
return item
def make(cls, dao, id=None, collection_dict=None):
if id is not None and collection_dict is not None:
raise TypeError("you can load from the db or from a dict, but not both")
now = time.time()
collection = Collection(dao=dao)
if id is None and collection_dict is None:
collection.id = cls.make_id()
collection.created = now
collection.last_modified = now
else: # load an extant item
if collection_dict is None:
collection_dict = dao.get(id)
if collection_dict is None:
raise LookupError
for k in collection_dict:
setattr(collection, k, collection_dict[k])
return collection