Bases: BasePydanticReader
General reader for any GCS file or directory.
If key is not set, the entire bucket (filtered by prefix) is parsed.
Args:
bucket (str): the name of your GCS bucket
key (Optional[str]): the name of the specific file. If none is provided,
this loader will iterate through the entire bucket.
prefix (Optional[str]): the prefix to filter by in the case that the loader
iterates through the entire bucket. Defaults to empty string.
recursive (bool): Whether to recursively search in subdirectories.
True by default.
file_extractor (Optional[Dict[str, BaseReader]]): A mapping of file
extension to a BaseReader class that specifies how to convert that file
to text. See SimpleDirectoryReader
for more details.
required_exts (Optional[List[str]]): List of required extensions.
Default is None.
num_files_limit (Optional[int]): Maximum number of files to read.
Default is None.
file_metadata (Optional[Callable[str, Dict]]): A function that takes
in a filename and returns a Dict of metadata for the Document.
Default is None.
service_account_key (Optional[Dict[str, str]]): provide GCP service account key directly.
service_account_key_json (Optional[str]): provide GCP service account key as a JSON string.
service_account_key_path (Optional[str]): provide path to file containing GCP service account key.
Source code in llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py
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123 | class GCSReader(BasePydanticReader):
"""
General reader for any GCS file or directory.
If key is not set, the entire bucket (filtered by prefix) is parsed.
Args:
bucket (str): the name of your GCS bucket
key (Optional[str]): the name of the specific file. If none is provided,
this loader will iterate through the entire bucket.
prefix (Optional[str]): the prefix to filter by in the case that the loader
iterates through the entire bucket. Defaults to empty string.
recursive (bool): Whether to recursively search in subdirectories.
True by default.
file_extractor (Optional[Dict[str, BaseReader]]): A mapping of file
extension to a BaseReader class that specifies how to convert that file
to text. See `SimpleDirectoryReader` for more details.
required_exts (Optional[List[str]]): List of required extensions.
Default is None.
num_files_limit (Optional[int]): Maximum number of files to read.
Default is None.
file_metadata (Optional[Callable[str, Dict]]): A function that takes
in a filename and returns a Dict of metadata for the Document.
Default is None.
service_account_key (Optional[Dict[str, str]]): provide GCP service account key directly.
service_account_key_json (Optional[str]): provide GCP service account key as a JSON string.
service_account_key_path (Optional[str]): provide path to file containing GCP service account key.
"""
is_remote: bool = True
bucket: str
key: Optional[str] = None
prefix: Optional[str] = ""
recursive: bool = True
file_extractor: Optional[Dict[str, Union[str, BaseReader]]] = Field(
default=None, exclude=True
)
required_exts: Optional[List[str]] = None
filename_as_id: bool = True
num_files_limit: Optional[int] = None
file_metadata: Optional[Callable[[str], Dict]] = Field(default=None, exclude=True)
service_account_key: Optional[Dict[str, str]] = None
service_account_key_json: Optional[str] = None
service_account_key_path: Optional[str] = None
@classmethod
def class_name(cls) -> str:
return "GCSReader"
def load_gcs_files_as_docs(self) -> List[Document]:
"""Load file(s) from GCS."""
from gcsfs import GCSFileSystem
if self.service_account_key is not None:
creds = service_account.Credentials.from_service_account_info(
self.service_account_key, scopes=SCOPES
)
elif self.service_account_key_json is not None:
creds = service_account.Credentials.from_service_account_info(
json.loads(self.service_account_key_json), scopes=SCOPES
)
elif self.service_account_key_path is not None:
creds = service_account.Credentials.from_service_account_file(
self.service_account_key_path, scopes=SCOPES
)
else:
# Use anonymous access if none are specified
creds = "anon"
gcsfs = GCSFileSystem(
token=creds,
)
input_dir = self.bucket
input_files = None
if self.key:
input_files = [f"{self.bucket}/{self.key}"]
elif self.prefix:
input_dir = f"{input_dir}/{self.prefix}"
loader = SimpleDirectoryReader(
input_dir=input_dir,
input_files=input_files,
recursive=self.recursive,
file_extractor=self.file_extractor,
required_exts=self.required_exts,
filename_as_id=self.filename_as_id,
num_files_limit=self.num_files_limit,
file_metadata=self.file_metadata,
fs=gcsfs,
)
return loader.load_data()
def load_data(self) -> List[Document]:
"""
Load the file(s) from GCS.
Returns:
List[Document]: A list of documents loaded from GCS.
"""
return self.load_gcs_files_as_docs()
|
load_gcs_files_as_docs
load_gcs_files_as_docs() -> List[Document]
Load file(s) from GCS.
Source code in llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py
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114 | def load_gcs_files_as_docs(self) -> List[Document]:
"""Load file(s) from GCS."""
from gcsfs import GCSFileSystem
if self.service_account_key is not None:
creds = service_account.Credentials.from_service_account_info(
self.service_account_key, scopes=SCOPES
)
elif self.service_account_key_json is not None:
creds = service_account.Credentials.from_service_account_info(
json.loads(self.service_account_key_json), scopes=SCOPES
)
elif self.service_account_key_path is not None:
creds = service_account.Credentials.from_service_account_file(
self.service_account_key_path, scopes=SCOPES
)
else:
# Use anonymous access if none are specified
creds = "anon"
gcsfs = GCSFileSystem(
token=creds,
)
input_dir = self.bucket
input_files = None
if self.key:
input_files = [f"{self.bucket}/{self.key}"]
elif self.prefix:
input_dir = f"{input_dir}/{self.prefix}"
loader = SimpleDirectoryReader(
input_dir=input_dir,
input_files=input_files,
recursive=self.recursive,
file_extractor=self.file_extractor,
required_exts=self.required_exts,
filename_as_id=self.filename_as_id,
num_files_limit=self.num_files_limit,
file_metadata=self.file_metadata,
fs=gcsfs,
)
return loader.load_data()
|
load_data
Load the file(s) from GCS.
Returns:
Type |
Description |
List[Document]
|
List[Document]: A list of documents loaded from GCS.
|
Source code in llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py
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123 | def load_data(self) -> List[Document]:
"""
Load the file(s) from GCS.
Returns:
List[Document]: A list of documents loaded from GCS.
"""
return self.load_gcs_files_as_docs()
|