feast/sdk/python/feast/cli/features.py at master · ExpediaGroup/feast · GitHub

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import json

from datetime import datetime

from typing import List

import click

import pandas as pd

from feast.repo_operations import create_feature_store

@click.group(name="features")

def features_cmd():

"""

Access features

"""

pass

@features_cmd.command(name="list")

@click.option(

"--output",

type=click.Choice(["table", "json"], case_sensitive=False),

default="table",

show_default=True,

help="Output format",

)

@click.pass_context

def features_list(ctx: click.Context, output: str):

"""

List all features

"""

store = create_feature_store(ctx)

feature_views = [

*store.list_batch_feature_views(),

*store.list_on_demand_feature_views(),

*store.list_stream_feature_views(),

]

feature_list = []

for fv in feature_views:

for feature in fv.features:

feature_list.append([feature.name, fv.name, str(feature.dtype)])

if output == "json":

json_output = [

{"feature_name": fn, "feature_view": fv, "dtype": dt}

for fv, fn, dt in feature_list

]

click.echo(json.dumps(json_output, indent=4))

else:

from tabulate import tabulate

click.echo(

tabulate(

feature_list,

headers=["Feature", "Feature View", "Data Type"],

tablefmt="plain",

)

@features_cmd.command("describe")

@click.argument("feature_name", type=str)

@click.pass_context

def describe_feature(ctx: click.Context, feature_name: str):

"""

Describe a specific feature by name

"""

store = create_feature_store(ctx)

feature_views = [

*store.list_batch_feature_views(),

*store.list_on_demand_feature_views(),

*store.list_stream_feature_views(),

]

feature_details = []

for fv in feature_views:

for feature in fv.features:

if feature.name == feature_name:

feature_details.append(

{

"Feature Name": feature.name,

"Feature View": fv.name,

"Data Type": str(feature.dtype),

"Description": getattr(feature, "description", "N/A"),

"Online Store": getattr(fv, "online", "N/A"),

"Source": json.loads(str(getattr(fv, "batch_source", "N/A"))),

}

)

if not feature_details:

click.echo(f"Feature '{feature_name}' not found in any feature view.")

return

click.echo(json.dumps(feature_details, indent=4))

@click.command("get-online-features")

@click.option(

"--entities",

"-e",

type=str,

multiple=True,

required=True,

help="Entity key-value pairs (e.g., driver_id=1001)",

)

@click.option(

"--features",

"-f",

multiple=True,

required=True,

help="Features to retrieve. (e.g.,feature-view:feature-name) ex: driver_hourly_stats:conv_rate",

)

@click.pass_context

def get_online_features(ctx: click.Context, entities: List[str], features: List[str]):

"""

Fetch online feature values for a given entity ID

"""

store = create_feature_store(ctx)

entity_dict: dict[str, List[str]] = {}

for entity in entities:

try:

key, value = entity.split("=")

if key not in entity_dict:

entity_dict[key] = []

entity_dict[key].append(value)

except ValueError:

click.echo(f"Invalid entity format: {entity}. Use key=value format.")

return

entity_rows = [

dict(zip(entity_dict.keys(), values)) for values in zip(*entity_dict.values())

]

feature_vector = store.get_online_features(

features=list(features),

entity_rows=entity_rows,

).to_dict()

click.echo(json.dumps(feature_vector, indent=4))

@click.command(name="get-historical-features")

@click.option(

"--dataframe",

"-d",

type=str,

help='JSON string containing entities and timestamps. Example: \'[{"event_timestamp": "2025-03-29T12:00:00", "driver_id": 1001}]\'',

)

@click.option(

"--features",

"-f",

multiple=True,

help="Features to retrieve. feature-view:feature-name ex: driver_hourly_stats:conv_rate",

)

@click.option(

"--start-date",

"-s",

type=str,

help="Start date for historical feature retrieval. Format: YYYY-MM-DD HH:MM:SS",

)

@click.option(

"--end-date",

"-e",

type=str,

help="End date for historical feature retrieval. Format: YYYY-MM-DD HH:MM:SS",

)

@click.pass_context

def get_historical_features(

ctx: click.Context,

dataframe: str,

features: List[str],

start_date: str,

end_date: str,

"""

Fetch historical feature values for a given entity ID

"""

store = create_feature_store(ctx)

if not dataframe and not start_date and not end_date:

click.echo(

"Either --dataframe or --start-date and/or --end-date must be provided."

)

return

if dataframe and (start_date or end_date):

click.echo("Cannot specify both --dataframe and --start-date/--end-date.")

return

entity_df = None

if dataframe:

try:

entity_list = json.loads(dataframe)

if not isinstance(entity_list, list):

raise ValueError("Entities must be a list of dictionaries.")

entity_df = pd.DataFrame(entity_list)

entity_df["event_timestamp"] = pd.to_datetime(entity_df["event_timestamp"])

except Exception as e:

click.echo(f"Error parsing entities JSON: {e}", err=True)

return

feature_vector = store.get_historical_features(

entity_df=entity_df,

features=list(features),

start_date=datetime.strptime(start_date, "%Y-%m-%d %H:%M:%S")

if start_date

else None,

end_date=datetime.strptime(end_date, "%Y-%m-%d %H:%M:%S") if end_date else None,

).to_df()

click.echo(feature_vector.to_json(orient="records", indent=4))

feast/sdk/python/feast/cli/features.py at master · ExpediaGroup/feast · GitHub

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