langchain.document_loaders.open_city_data.OpenCityDataLoader¶
class langchain.document_loaders.open_city_data.OpenCityDataLoader(city_id: str, dataset_id: str, limit: int)[source]¶
Load from Open City.
Initialize with dataset_id.
Example: https://dev.socrata.com/foundry/data.sfgov.org/vw6y-z8j6
e.g., city_id = data.sfgov.org
e.g., dataset_id = vw6y-z8j6
Parameters
city_id – The Open City city identifier.
dataset_id – The Open City dataset identifier.
limit – The maximum number of documents to load.
Methods
__init__(city_id, dataset_id, limit)
Initialize with dataset_id.
lazy_load()
Lazy load records.
load()
Load records.
load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(city_id: str, dataset_id: str, limit: int)[source]¶
Initialize with dataset_id.
Example: https://dev.socrata.com/foundry/data.sfgov.org/vw6y-z8j6
e.g., city_id = data.sfgov.org
e.g., dataset_id = vw6y-z8j6
Parameters
city_id – The Open City city identifier.
dataset_id – The Open City dataset identifier.
limit – The maximum number of documents to load.
lazy_load() → Iterator[Document][source]¶
Lazy load records.
load() → List[Document][source]¶
Load records.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.