So, development is moving forward nicely and will be thoroughly tested, and probably pick up the pace further later on as QAL is an important component of Optimal BPM
Anyway; this time, it it mostly with regards to datasets and merge functionality.
Important new features:
* Add support for importing data without specifying keys
* Automatically create non-existing destination tables.
* Add support for writing to new files.
* Add support for regular expression-transformation
* Add support for writing to .xls and .xlsx files using openpyxml and xlwt
* Add post-merge-sql; an SQL that is run in SQL backends after commit.
* Add support for substitution variables(::identity::, ::uuid::, ::username::, ::curr_datetime::)
* Columns/fields without a source reference is now allowed... read more
The 0.8.4 version is now out and has some quite important fixes.
Fix handling of relative paths
Fix everything Windows, like paths, line-terminators and some other things
* Fix helpful error when modules are missing
The QAL API documentation is now online for your browsing pleasure!
Python3-Sphinx was used, a small article on that subject may develop over time as well.
* Fix bad relative path handling for spreadsheets
Keys could become unordered in earlier versions, 0.3.2 remaps keys properly.
Lots of new features, Merging, Datasets(XML/XPATH/HTML, Flatfile, Spreadsheet), more SQL DDL and UPDATE, Nmap server discovery and so on.
Now also a .deb package. When pip just don't cut it. Windows and OS X packages will also come shortly.
Go check out the Optimal Sync application for a small dose of what QAL can do:
And its release news item: