damvitool

Introduction

As stated above this project was inspired by Sandman by Jeff Knupp. At the same time damvitool improves on the original in a few important areas:

Support for compound queries (both for REST API and UI)
Extremely flexible and powerful UI (query builder wizard) thanks to SmartClient library by Isomorphic
Support for column summaries
Unlimited resulting grid (sorted&filtered) export to CSV file

Ability to save queries
Extended authorisation support with fine grained control of access to queries/tables
Editing of records
Charting engine for data visualization

Use pip to install damvitool:

$ pip install damvitool

Run damvitool from command line:

$ damvitool

When you run damvitool from command line without parameters it connects by default to the demo Chinook Database for SQLite.

To connect to your legacy database run damvitool with your database URL as parameter, like so:

$ damvitool --database sqlite:///damvitool/data/Chinook_Sqlite.sqlite

where sqlite:///damvitool/data/Chinook_Sqlite.sqlite is database URL in SQLAlchemy format (http://docs.sqlalchemy.org/en/rel_0_9/core/engines.html#database-urls).

Default admin panel URL is http://localhost:8080

Choose root entity for your data query. If tables needed for your query don’t have relations between them you can add another root entity to your query.

Version 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for damvitool 0.2.0
File	Size	Uploaded
damvitool-0.2.0.tar.gz	15.2 MB	Feb 17, 2015	Details

Download URL	damvitool-0.2.0.tar.gz
Size	15.2 MB
Tags	Source
SHA-256 checksum How to use checksums	`caebfc5a50e63fc569d964f63c0fc904ead685a1d1be51c8aaffa7cafde2dd47`
BLAKE2b-256 checksum How to use checksums	`c487bef3edfb5850f2920a31e7381f836d80f8efb4cf8459b472a79704a96a0c`
Upload date	Feb 17, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No