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Remove person_app, open_source app, llama2_app with their configs (#829)

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This commit is contained in:
Sidharth Mohanty
2023-10-19 13:43:52 +05:30
committed by GitHub
parent b7870fbd9b
commit b5d80be037
13 changed files with 3 additions and 480 deletions
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2
embedchain/config/apps/base_app_config.py
View File

@@ -8,7 +8,7 @@ from embedchain.vectordb.base import BaseVectorDB
class BaseAppConfig(BaseConfig, JSONSerializable):
"""
Parent config to initialize an instance of `App`, `OpenSourceApp` or `CustomApp`.
Parent config to initialize an instance of `App`.
"""
def __init__(

46
embedchain/config/apps/custom_app_config.py
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@@ -1,46 +0,0 @@
from typing import Optional
from dotenv import load_dotenv
from embedchain.helper.json_serializable import register_deserializable
from embedchain.vectordb.base import BaseVectorDB
from .base_app_config import BaseAppConfig
load_dotenv()
@register_deserializable
class CustomAppConfig(BaseAppConfig):
"""
Config to initialize an embedchain custom `App` instance, with extra config options.
"""
def __init__(
self,
log_level: str = "WARNING",
db: Optional[BaseVectorDB] = None,
id: Optional[str] = None,
collect_metrics: Optional[bool] = None,
collection_name: Optional[str] = None,
):
"""
Initializes a configuration class instance for an Custom App.
Most of the configuration is done in the `CustomApp` class itself.
:param log_level: Debug level ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], defaults to "WARNING"
:type log_level: str, optional
:param db: A database class. It is recommended to set this directly in the `CustomApp` class, not this config,
defaults to None
:type db: Optional[BaseVectorDB], optional
:param id: ID of the app. Document metadata will have this id., defaults to None
:type id: Optional[str], optional
:param collect_metrics: Send anonymous telemetry to improve embedchain, defaults to True
:type collect_metrics: Optional[bool], optional
:param collection_name: Default collection name. It's recommended to use app.db.set_collection_name() instead,
defaults to None
:type collection_name: Optional[str], optional
"""
super().__init__(
log_level=log_level, db=db, id=id, collect_metrics=collect_metrics, collection_name=collection_name
)

40
embedchain/config/apps/open_source_app_config.py
View File

@@ -1,40 +0,0 @@
from typing import Optional
from embedchain.helper.json_serializable import register_deserializable
from .base_app_config import BaseAppConfig
@register_deserializable
class OpenSourceAppConfig(BaseAppConfig):
"""
Config to initialize an embedchain custom `OpenSourceApp` instance, with extra config options.
"""
def __init__(
self,
log_level: str = "WARNING",
id: Optional[str] = None,
collect_metrics: Optional[bool] = None,
model: str = "orca-mini-3b.ggmlv3.q4_0.bin",
collection_name: Optional[str] = None,
):
"""
Initializes a configuration class instance for an Open Source App.
:param log_level: Debug level ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], defaults to "WARNING"
:type log_level: str, optional
:param id: ID of the app. Document metadata will have this id., defaults to None
:type id: Optional[str], optional
:param collect_metrics: Send anonymous telemetry to improve embedchain, defaults to True
:type collect_metrics: Optional[bool], optional
:param model: GPT4ALL uses the model to instantiate the class.
Unlike `App`, it has to be provided before querying, defaults to "orca-mini-3b.ggmlv3.q4_0.bin"
:type model: str, optional
:param collection_name: Default collection name. It's recommended to use app.db.set_collection_name() instead,
defaults to None
:type collection_name: Optional[str], optional
"""
self.model = model or "orca-mini-3b.ggmlv3.q4_0.bin"
super().__init__(log_level=log_level, id=id, collect_metrics=collect_metrics, collection_name=collection_name)