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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
from typing import Any, Dict
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import pandas as pd
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from procesing.providers.base import DataProvider
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class PipelineContext:
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"""
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Context for pipeline execution holding config, provider, and cached data.
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Enables dependency injection and eliminates global state.
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"""
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def __init__(self,
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provider: DataProvider,
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store_mode: str,
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window_size: str = '30s',
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**config):
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self.provider = provider
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self.store_mode = store_mode
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self.window_size = window_size
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self.config = config
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self._cache: Dict[str, Any] = {}
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def get_cached(self, key: str, default=None):
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return self._cache.get(key, default)
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def cache(self, key: str, value):
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self._cache[key] = value
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return value
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@property
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def products(self) -> pd.DataFrame:
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"""Lazy-load and cache product catalog, single fetch per pipeline run"""
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if 'products' not in self._cache:
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self._cache['products'] = self.provider.fetch_products(self.store_mode)
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return self._cache['products']
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