quilt3.Bucket

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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, limit=10)
Execute a search against the configured search endpoint.
Arguments
query (str): query string to search
limit (number): maximum number of results to return. Defaults to 10
Query Syntax: By default, a normal plaintext search will be executed over the query string. You can use field-match syntax to filter on exact matches for fields in your metadata. The syntax for field match is user_meta.$field_name:"exact_match".
Returns
a list of objects with the following structure:
1
[{
2
`"key"`: <key of the object>,
3
`"version_id"`: <version_id of object version>,
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`"operation"`: <"Create" or "Delete">,
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`"meta"`: <metadata attached to object>,
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`"size"`: <size of object in bytes>,
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`"text"`: <indexed text of object>,
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`"source"`: <source document for object (what is actually stored in ElasticSeach)>,
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`"time"`: <timestamp for operation>,
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}...]
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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

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Contents

Bucket.search(self, query, limit=10)

Bucket.put_file(self, key, path)

Bucket.put_dir(self, key, directory)

Bucket.keys(self)

Bucket.delete(self, key)

Bucket.delete_dir(self, path)

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

Bucket.fetch(self, key, path)

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