ds = api.create_dataset(
Dataset(
**{
"product":
"rpa",
"product_version":
"1.0",
"name":
"Events in UK - example",
"fields": [
"timestamp_utc", "rp_story_id", "rp_entity_id", "entity_type",
"entity_name", "country_code", "relevance",
"event_sentiment_score", "topic", "group", "headline"
],
"filters": {
"$and": [{
"relevance": {
"$gte": 90
}
}, {
"country_code": {
"$in": ["GB"]
}
}, {
"event_sentiment_score": {
"$nbetween": [-0.5, 0.5]
}
}]
},
"frequency":
"granular",
}))
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": []
}))