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importers.py
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# Copyright (c) ZenML GmbH 2023. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing
# permissions and limitations under the License.
from datetime import datetime, timedelta, timezone
from typing import List
from supabase import Client as SupabaseClient
from supabase import create_client
from zenml.client import Client
from zenml.steps import BaseParameters, step
class SupabaseReaderParams(BaseParameters):
table_name: str = "analytics"
filter_date_column: str = "created_at" # assume supabase timestampz col
filter_interval_hours: int = 24 # interval for hours
summary_column: str = "video_title" # the column to summarize
limit: int = 300 # limit the number of rows to read
@step(enable_cache=False)
def supabase_reader(
params: SupabaseReaderParams,
) -> List[str]:
"""Reads from supabase and returns a list of dicts."""
supabase_secret = Client().get_secret("supabase")
supabase: SupabaseClient = create_client(
supabase_secret.secret_values["supabase_url"],
supabase_secret.secret_values["supabase_key"],
)
interval = datetime.now(timezone.utc) - timedelta(
hours=params.filter_interval_hours
)
# Create a supabase query to filter for the last 24 hours
response = (
supabase.table(params.table_name)
.select(params.summary_column)
.filter(params.filter_date_column, "gte", interval)
.order(params.filter_date_column, desc=True)
.limit(params.limit)
.execute()
)
return [d[params.summary_column] for d in response.data]