quilt3.Bucket

Bucket interface for Quilt.

__init__

Creates a Bucket object.

Arguments

• bucket_uri(str): URI of bucket to target. Must start with 's3://'

Returns

A new Bucket

Bucket.search(self, query: Union[str, dict], limit: int = 10) -> List[dict]

Execute a search against the configured search endpoint.

Arguments

• query: query string to query if passed as str, DSL query body if passed as dict

• limit: maximum number of results to return. Defaults to 10

Query Syntax: Query String Query Query DSL

Returns

search results

Bucket.put_file(self, key, path)

Stores file at path to key in bucket.

Arguments

• key(str): key in bucket to store file at

• path(str): string representing local path to file

Returns

None

Raises

• if no file exists at path

• if copy fails

Bucket.put_dir(self, key, directory)

Stores all files in the directory under the prefix key.

Arguments

• key(str): prefix to store files under in bucket

• directory(str): path to directory to grab files from

Returns

None

Raises

• if writing to bucket fails

Bucket.keys(self)

Lists all keys in the bucket.

Returns

List of strings

Bucket.delete(self, key)

Deletes a key from the bucket.

Arguments

• key(str): key to delete

Returns

None

Raises

• if delete fails

Bucket.delete_dir(self, path)

Delete a directory and all of its contents from the bucket.

Arguments

• path (str): path to the directory to delete

Bucket.ls(self, path=None, recursive=False)

List data from the specified path.

Arguments

• path (str): bucket path to list

• recursive (bool): show subdirectories and their contents as well

Returns

list: Return value structure has not yet been permanently decided Currently, it's a tuple of list objects, containing the following: (directory info, file/object info, delete markers).

Bucket.fetch(self, key, path)

Fetches file (or files) at key to path.

If key ends in '/', then all files with the prefix key will match and will be stored in a directory at path.

Otherwise, only one file will be fetched and it will be stored at path.

Arguments

• key(str): key in bucket to fetch

• path(str): path in local filesystem to store file or files fetched

Returns

None

Raises

• if path doesn't exist

• if download fails

Bucket.select(self, key, query, raw=False)

Selects data from an S3 object.

Arguments

• key(str): key to query in bucket

• query(str): query to execute (SQL by default)

• query_type(str): other query type accepted by S3 service

• raw(bool): return the raw (but parsed) response

Returns

pandas.DataFrame: results of query