Files
PHANTOM/experiments/procesing/providers/supabase.py

34 lines
1.3 KiB
Python
Executable File

import os
import pandas as pd
import requests
from typing import List
from supabase import create_client, Client
from .base import DataProvider
class SupabaseProvider(DataProvider):
"""Concrete Supabase + backend API implementation"""
def __init__(self,
supabase_url: str = None,
supabase_key: str = None,):
self.supabase_url = supabase_url or os.getenv("NEXT_PUBLIC_SUPABASE_URL")
self.supabase_key = supabase_key or os.getenv("NEXT_PUBLIC_SUPABASE_ANON_KEY")
self.supabase: Client = create_client(self.supabase_url, self.supabase_key)
def fetch_products(self, store_mode: str) -> pd.DataFrame:
resp = self.supabase.table(f'{store_mode}_products').select(
"id, room_type, date_index, metadata, availability"
).execute()
return pd.DataFrame(resp.data) if resp.data else pd.DataFrame()
def fetch_experiments(self, experiment_ids: List[str]) -> pd.DataFrame:
if not experiment_ids:
return pd.DataFrame()
resp = self.supabase.table('experiments').select(
'id, subject_name, xp_human_only, xp_market_mode, xp_task_id, '
'task:tasks(task_name, task_description, task_def_of_done)'
).in_('id', experiment_ids).execute()
return pd.DataFrame(resp.data) if resp.data else pd.DataFrame()