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fURI File access through URIs.

Project description

# fURI

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Interact with local &amp; remote files by URI

Last updated: `0.6.0`

## Installation

pip install furi # Install basic support

pip install furi[all] # Install AWS & SFTP dependencies

pip intsall furi[aws] # Install AWS dependencies

pip install furi[sftp] # Install SFTP dependencies

## Usage

#### Reading Files

import furi

with'/path/to/some/file.ext') as local:
# => Hello, world!

with'file:///path/to/local/file.ext') as local:
# => Hello from Local file system

If `furi` was installed with AWS dependencies S3 files can be read as well:

with's3://bucket/path/to/key') as s3:
# => Hello from S3!

Same for SFTP files:

with'sftp://user:pass@host/path/to/file.ext') as sftp:
# => Hello from SFTP


#### Walking Directories

# Walk S3 key
for dirpath, dirnames, filenames in furi.walk('s3://bucket/path/to/key/'):
print dirpath
print dirnames
print filenames

# Walk S3 with supplied credentials
credentials = {
'aws_access_key_id' : '<access_key>',
'aws_secret_access_key' : '<secret_key>' }
for dirpath, dirnames, filenames in furi.walk('s3://bucket/path/to/key/', **credentials):
print dirpath
print dirnames
print filenames


## S3-backed files

Example S3-file access:

# Using ~/.boto or ENV variables to authenticate
s3file ='s3://bucket/path/to/key')

# Supply credentials
s3file ='s3://bucket/path/to/key',
aws_access_key_id='ACCESS', aws_secret_access_key='SECRET' )

## SFTP-backed files

Supply the credentials as a part of the URI:

sftpfile ='sftp://user:password@host/workdir/file.ext')

## Supported operations

# Open a file in a supported open-mode
with'<uri>', mode='<mode>') as furifile:
furifile.exists() # Test if file exists
furifile.matches('regex pattern') # Match pattern to filename (not including path) # Read file contents' stream as string # Get handle to file contents stream
furifile.write('str or stream') # Write a string or stream to file
furifile.connect(**credentials) # Connect to a remote file service (such as S3)

## Configurations/Mappings

Structured JSON or YAML files can be loaded into a mapping object using the `` function.

### Local & S3 File Mapping

Mapping local or S3-backed file contents operations are not cached so every read has some cost to it. If numerous reads are expected it is recommended that the object is mapped into a dictionary. File-based mapping objects do not support write operations at this time.

mymap ='s3://buket/path/to/mapping.json')
mymap ='/path/to/local/mapping.yaml')

print mymap['key']
# => "Hello, world!"

print mymap['otherkey'] # Reads file from S3 again
# => "Goodby, cruel world!"

# Reads the file once and caches it in `mymap`
mymap = dict('s3://buket/path/to/mapping.json'))

### DynamoDB Mapping

Single partition-key DynamoDB tables without sort-keys are also supported and use the URI format `"dynamodb://<tablename>/"`. The returned mapping object can be queried like a dictionary.

mynamo = furi.mapping('dynamodb://mytable/', region_name='us-east-1')

print mynamo['partition_key_value']
# => { "partition_key_name" : "partition_key_value",
# "field1": "Hello, world!",
# "field2": "Goodbye, cruel world!" }

## Chained Mappings

It may be the case that you have a prioritized list of mapping files, where if a key cannot be found in the first map, the second is queried, then the third, and so on until a match is found or a `KeyError` is thrown. Use the `furi.chain()` function to chain mappings together.

chains = 's3://bucket/path/to/map.yml', '/path/to/local.json'
chainmap = furi.chain(*map(, chains))

print chainmap['key']
# => "Hello, world!"

print chainmap['otherkey']
# => WARNING:root:s3://bucket/path/to/map.yml :: KeyError('otherkey',)
# "Goodby, cruel world!"

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