Catalog

Defines a base class for catalogs used for loading and managing various components in GLLM Inference.

Authors

Henry Wicaksono (henry.wicaksono@gdplabs.id)

References

NONE

BaseCatalog

Bases: ABC, BaseModel, Generic[T]

A base class for catalogs used for loading and managing various components in GLLM Inference.

Attributes:

Name	Type	Description
components	dict[str, T]	A dictionary containing the components.

Initialization

Example 1: Load from Google Sheets using client email and private key

catalog = BaseCatalog.from_gsheets(
    sheet_id="...",
    worksheet_id="...",
    client_email="...",
    private_key="...",
)
component = catalog.name

Example 2: Load from Google Sheets using credential file

catalog = BaseCatalog.from_gsheets(
    sheet_id="...",
    worksheet_id="...",
    credential_file_path="...",
)
component = catalog.name

Example 3: Load from CSV

catalog = BaseCatalog.from_csv(csv_path="...")
component = catalog.name

Example 4: Load from records

```python records = [ {"name": "...", "col_1": "...", "col_2": "..."}, {"name": "...", "col_1": "...", "col_2": "..."}, ] catalog = BaseCatalog.from_records(records=records) component = catalog.name

```

__getattr__(name)

Fetches a component by attribute name.

This method attempts to retrieve a component from the components dictionary using the provided attribute name. If the attribute is not found, it raises an AttributeError.

Parameters:

Name	Type	Description	Default
name	str	The name of the attribute to fetch.	required

Returns:

Name	Type	Description
T	T	The component associated with the given attribute name.

Raises:

Type	Description
AttributeError	If the attribute name does not exist in the components dictionary.

from_csv(csv_path) classmethod

Creates a BaseCatalog[T] instance from CSV data.

This class method reads component data from a CSV file and initializes components based on the provided data.

Parameters:

Name	Type	Description	Default
csv_path	str	The file path to the CSV containing component data.	required

Returns:

Type	Description
BaseCatalog[T]	BaseCatalog[T]: An instance of BaseCatalog[T] initialized with components based on the CSV data.

from_gsheets(sheet_id, worksheet_id='0', credential_file_path=None, client_email=None, private_key=None) classmethod

Creates a BaseCatalog[T] instance from Google Sheets data.

This class method reads component data from a Google Sheets worksheet and initializes components based on the provided data. Authentication can be provided either by specifying the path to a credential.json file or by directly supplying the client_email and private_key.

Parameters:

Name	Type	Description	Default
sheet_id	str	The ID of the Google Sheet.	required
worksheet_id	str	The ID of the worksheet within the Google Sheet. Defaults to "0"	'0'
credential_file_path	str	The file path to the credential.json file. If provided, client_email and private_key are extracted from this file, effectively ignoring the client_email and private_key arguments. Defaults to None.	None
client_email	str	The client email associated with the service account. This is ignored if credential_file_path is provided. Defaults to None.	None
private_key	str	The private key used for authentication. This is ignored if credential_file_path is provided. Defaults to None.	None

Returns:

Type	Description
BaseCatalog[T]	BaseCatalog[T]: An instance of BaseCatalog[T] initialized with components based on the Google Sheets data.

Raises:

Type	Description
ValueError	If authentication credentials are not provided or are invalid.

from_records(records) classmethod

Creates a BaseCatalog[T] instance from a list of records.

This class method builds a catalog from the provided records.

Parameters:

Name	Type	Description	Default
records	list[dict[str, str]]	A list of records containing component data.	required

Returns:

Type	Description
BaseCatalog[T]	BaseCatalog[T]: An instance of BaseCatalog[T] initialized with components based on the list of records.