def setup_class(cls):
cls.ds = cls.api.create_dataset(
Dataset.from_dict({
"name":
"Test custom dataset",
"fields":
["timestamp_utc", "rp_entity_id", "entity_name", "AVG_REL"],
"filters": {
"relevance": {
"$gte": 90
}
},
"custom_fields": [{
"AVG_REL": {
"avg": {
"field": "RELEVANCE",
"mode": "daily"
}
}
}],
"conditions": {
"$and": [{
"AVG_REL": {
"$gt": 30
}
}, {
"rp_entity_id": {
"$in": ["ROLLUP"]
}
}]
},
"frequency":
"daily",
"tags": []
}))
def list_datasets(self, scope=None, tags=None):
""" Return a DataSetList of datasets in the scope """
response = self.request('/datasets',
params=dict(
tags=tags or None,
scope=scope or 'private',
))
return DatasetList(
map(lambda item: Dataset.from_dict(item, api=self),
response.json()['datasets']))
def list_datasets(self, scope=None, tags=None, options=None):
""" Return a DataSetList of datasets in the scope """
response = self.request('/datasets',
params=dict(
tags=tags or None,
scope=scope or 'private',
))
datasets = DatasetList(
map(lambda item: Dataset.from_dict(item, api=self),
response.json()['datasets']))
# Returns either the dataset class or the datasets
if options == 'by_name':
return datasets.by_name
if options == 'by_id':
return datasets.by_id
else:
return datasets
print("Creating a new dataset with functions and conditions...")
dataset = api.create_dataset(
Dataset.from_dict({
"name":
"Dataset with functions and conditions",
"fields": ["timestamp_utc", "rp_entity_id", "entity_name", "AVG_REL"],
"filters": {},
"custom_fields": [{
"AVG_REL": {
"avg": {
"field": "RELEVANCE",
"mode": "daily"
}
}
}],
"conditions": {
"$and": [{
"AVG_REL": {
"$gt": 30
}
}, {
"rp_entity_id": {
"$in": ["ROLLUP"]
}
}]
},
"frequency":
"daily",
"tags": []
}))
dataset.save()
