[Refactor] Converge Pipeline and App classes (#1021)
Co-authored-by: Deven Patel <deven298@yahoo.com>
This commit is contained in:
64
embedchain/config/base_app_config.py
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64
embedchain/config/base_app_config.py
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import logging
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from typing import Optional
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from embedchain.config.base_config import BaseConfig
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from embedchain.helpers.json_serializable import JSONSerializable
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from embedchain.vectordb.base import BaseVectorDB
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class BaseAppConfig(BaseConfig, JSONSerializable):
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"""
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Parent config to initialize an instance of `App`.
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"""
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def __init__(
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self,
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log_level: str = "WARNING",
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db: Optional[BaseVectorDB] = None,
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id: Optional[str] = None,
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collect_metrics: bool = True,
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collection_name: Optional[str] = None,
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):
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"""
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Initializes a configuration class instance for an App.
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Most of the configuration is done in the `App` class itself.
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:param log_level: Debug level ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], defaults to "WARNING"
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:type log_level: str, optional
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:param db: A database class. It is recommended to set this directly in the `App` class, not this config,
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defaults to None
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:type db: Optional[BaseVectorDB], optional
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:param id: ID of the app. Document metadata will have this id., defaults to None
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:type id: Optional[str], optional
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:param collect_metrics: Send anonymous telemetry to improve embedchain, defaults to True
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:type collect_metrics: Optional[bool], optional
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:param collection_name: Default collection name. It's recommended to use app.db.set_collection_name() instead,
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defaults to None
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:type collection_name: Optional[str], optional
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"""
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self._setup_logging(log_level)
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self.id = id
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self.collect_metrics = True if (collect_metrics is True or collect_metrics is None) else False
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self.collection_name = collection_name
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if db:
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self._db = db
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logging.warning(
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"DEPRECATION WARNING: Please supply the database as the second parameter during app init. "
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"Such as `app(config=config, db=db)`."
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)
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if collection_name:
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logging.warning("DEPRECATION WARNING: Please supply the collection name to the database config.")
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return
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def _setup_logging(self, debug_level):
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level = logging.WARNING # Default level
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if debug_level is not None:
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level = getattr(logging, debug_level.upper(), None)
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if not isinstance(level, int):
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raise ValueError(f"Invalid log level: {debug_level}")
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logging.basicConfig(format="%(asctime)s [%(name)s] [%(levelname)s] %(message)s", level=level)
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self.logger = logging.getLogger(__name__)
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return
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