* Remove AST in favor of pure Pyhon. This should make it easier for
developers to understand and create new directives because they do not
need to know AST.
* Remove `t-call-options` as it has been merged into `t-options` for more
consistency. Support for t-call-options is retained.
* Use generators for lists. This increases performances as the rendering
can be sent directly without having to wait for the creation of the
entire list.
* Optimize expressions runtime computation by pre-computing the static
parts.
Example:
'<' + 'div' + '>' + '<' + dynamic_value + '>'
Now compiles as:
'<div><' + dynamic_value + '>'
Fix the issue of the t-esc display the content before the tag.
Activate qweb qunit test (same test for the JavaScript and python)
Use the same behavior as python: keep attributes order, and display content
as default value when the variable is falsy.
Before this change the t-call can use only receive a literal as parameters:
<t t-call="template.name17" />
This call render the template 'template.name17' with the current context.
Now, we can defined an expression with braces (same syntax that t-attf):
<t t-call="template.name{{ 10 + 7 }}" />
This call render the template 'template.name17' with the current context.
This change allows for greater flexibility for applications using qweb.
(The performance due to this change is unchanged during rendering time.)
* __content__ can't be used in Python implementation because safe_eval, so use
``0`` from Python implementation instead
* remove postfix from t-call tests because due to implementation details all
whitespace crap following a t-name is added to rendered template in Python
impl, and don't want to normalize whitespace.
* document qweb based (mostly) on JS version
* convert JS qweb tests to (mostly) language-independent XML so they can be
used for JS and Python implementations
* add some more tests (e.g. precedence between t-value and body in t-set)
* remove ``t-import``
* fix parity in foreach(dict) (and rename some variables to make array and
object versions more similar)