hopsworks.core.search_api #

import hopsworks

project = hopsworks.login()
search_api = project.get_search_api()

# Simple search
result = search_api.feature_store("search-term")

# Access results
for fg_meta in result.feature_groups:
    print(f"Feature Group: {fg_meta.name} v{fg_meta.version}")
    print(f"Description: {fg_meta.description}")
    print(f"Highlights: {fg_meta.highlights}")

    # Get the same FeatureGroup object as returned by featurestore.get_feature_group
    fg = fg_meta.get()

# Search with a single keyword (string)
result = search_api.feature_store("search-term", keyword_filter="ml")

# Search with multiple keywords (array of strings)
result = search_api.feature_store("search-term", keyword_filter=["ml", "production"])

# Search with tag filter as a single dictionary
result = search_api.feature_store(
    "search-term",
    tag_filter={"name": "tag1", "key": "environment", "value": "production"}
)

# Search with tag filter as an array of dictionaries
result = search_api.feature_store(
    "search-term",
    tag_filter=[
        {"name": "tag1", "key": "environment", "value": "production"},
        {"name": "tag2", "key": "version", "value": "v1.0"}
    ]
)

# Search with TagSearchFilter objects
from hopsworks_common.core.search_api import TagSearchFilter
tags = [
    TagSearchFilter(name="tag1", key="environment", value="production"),
    TagSearchFilter(name="tag2", key="version", value="v1.0")
]
result = search_api.feature_store("search-term", tag_filter=tags)

# Search with both keyword_filter and tag_filter
result = search_api.feature_store(
    "search-term",
    keyword_filter=["ml", "production"],
    tag_filter=tags
)

import hopsworks

project = hopsworks.login()
search_api = project.get_search_api()

# Search for feature groups
fg_metas = search_api.feature_groups("customer")

for fg_meta in fg_metas:
    print(f"Feature Group: {fg_meta.name} v{fg_meta.version}")

    # Get the same FeatureGroup object as returned by featurestore.get_feature_group
    fg = fg_meta.get()

import hopsworks

project = hopsworks.login()
search_api = project.get_search_api()

# Search for feature views
fv_metas = search_api.feature_views("customer")

for fv_meta in fv_metas:
    print(f"Feature View: {fv_meta.name} v{fv_meta.version}")

    # Get the same FeatureView object as returned by featurestore.get_feature_view
    fv = fv_meta.get()

import hopsworks

project = hopsworks.login()
search_api = project.get_search_api()

# Search for training datasets
td_metas = search_api.training_datasets("model")

for td_meta in td_metas:
    print(f"Training Dataset: {td_meta.name} v{td_meta.version}")

    # Get the same TrainingDataset object as returned by featurestore.get_training_dataset
    td = td_meta.get()

import hopsworks

project = hopsworks.login()
search_api = project.get_search_api()

# Search for features
features = search_api.features("age")

for feature in features:
    print(f"Feature: {feature.name}")