pydtk 0.0.0

A Python toolkit for managing, retrieving and processing data.

Python Dataware Toolkit

A Python toolkit for managing, retrieving, and processing data.

Installation

You can install the toolkit with:

$ pip3 install git+https://github.com/dataware-tools/pydtk.git

If you want to install the toolkit with extra feature (e.g. support for MongoDB and ROS), you can install extra dependencies as follows:

$ pip3 install git+https://github.com/dataware-tools/pydtk.git#egg=pydtk[mongodb,ros]

Usage

By using Pydtk, you can load a variety of types of data with a unified interface as shown below.

1. Load DBHandler for retrieving metadata

from pydtk.db import V4DBHandler as DBHandler

# Initialize handler (This will read all the metadata from DB on initialization)
handler = DBHandler(
    db_class='meta',
    db_host='./examples/example_db',
    base_dir_path='./test'
)

2. Read metadata from db with data selection.

# Select by timestamp
handler.read(pql='start_timestamp > 1420000000 and end_timestamp < 1500000000')
print(handler.data)

# Select by record-id
handler.read(pql='record_id == regex("B05.*")')
print(handler.data)

3. Load data from files based on metadata.

from pydtk.io import BaseFileReader, NoModelMatchedError

reader = BaseFileReader()

try:
    for sample in handler:
        print('loading content "{0}" from file "{1}"'.format(sample['contents'], sample['path']))
        try:
            timestamps, data, columns = reader.read(sample)
            assert print(data)
        except NoModelMatchedError as e:
            print(str(e))
            continue
except EOFError:
    pass

Documentation

For more information about this toolkit, please refer the document.

Setup for contribution

To improve this toolkit, firstly clone this repository and then run the following command to prepare the environment.

$ poetry install

Make sure that poetry is installed before executing the command.

If you want to install the toolkit with extra feature (e.g. support for MongoDB), please specify it with -E option.
Example (installation with mongodb and ros extras):

$ poetry install -E mongodb -E ros