* We search first in specified folders by the user (they can browse to
the android SDK and java JDK).
* If the tools we want aren't found there, we look relative to the UI
as we now distribute the required tools with windows builds.
* If we still don't find them, we prefer to look in PATH since the user
has 'opted in' to any tools found in there. If the tool isn't in PATH
either then we look relative to known environment variables.
* This will enable the last few python list emulation functions, like
index (which needs operator== to find objects) and sort (which
obviously needs operator< to sort).
* This is to support python bindings - the pyside implementation of
QVector, QString, etc is not available to SWIG, so SWIG treates these
all as opaque types.
* Rather than trying to set up bindings that work for rdcarray and
QList/QVector, or implementing separate bindings, we instead just say
that the public interface must use the rdc types. In most cases they
seamlessly convert to/from Qt types anyway.
* In a couple of places we use an array of pairs instead of a map. In
future we probably want an rdcdict or rdcmap with proper dict bindings
in python.
* This is a *very* light-touch analytics system that will track the
simplest and most anonymous statistics that can be useful in
determining which features are most used or perhaps underused, and
where it's best to direct development attention.
* It is entirely implemented in the UI layer, no analytics-gathering
code exists in the library that's injected into programs, and of
course no capture data (screenshots, resource contents, shaders, etc
etc) is transmitted.
* Once it's turned on, it will apply to both development and release
builds. It tracks stats over a month, and then at the beginning of a
new month it sends the previous data.
* When the user first starts up a build with analytics if there's no
previous analytics database then they are informed of the new code and
asked to approve it. They have the option of selecting to manually
verify any sent reports, or just opt-ing out entirely.
* Previously once we started loading a capture we'd blindly continue
until we loaded it (and then it's assumed to be successful), or we
crash.
* Now errors can be reported during serialisation and bubbled up to
abort the file load process. The next steps are to add error checking
in each function serialise before doing any replay calls to the API
with potentially corrupt data, and on top of that catching API-only
errors when the serialisation is (seemingly) fine, and propagating
those in a reasonable way.
* We also harden the serialisation a bit so that if it reads an
obviously invalid byte length for a buffer or array count, it won't
continue. It's still not perfect as the sizes could still be large and
invalid but within range, but it should catch the worst cases.
* This prevents leaking for cases where new widgets are created (and
the small chance a widget pointer could be re-used and cause serious
problems), and multiple-registration errors for global shortcuts.
* This is a leftover from before the interface was hoisted out, and most
windows were still calling directly to CaptureContext instead of via
the public ICaptureContext interface
* Enums are now proper python enums instead of just being a class with
static int members.
* Fix a refcounting issue with SWIG generated code to access nested
child structs.
* In future one of the notes items would be for gathered hardware info.
Not automatically, but with one button press the full configuration
can be embedded.
* Log is an overloaded term since it can also mean the debug log. We now
consistently refer to capture files as capture files or just captures
for short. The log is just for log messages and diagnostics.
* The user-facing UI was mostly already consistent, but many of the
public interfaces exposed to python needed to be renamed, and it made
more sense just to make everything consistent.
* We add a button with a link icon to indicate that it goes to the
resource details. We'll re-use the crosshair as a visual metaphor for
any interactive widget that goes to the resource inspector.
* To remove any possible confusion, we change the icon for the texture
list and locked tabs in the texture viewer to not include the link.
* We remove the now unneeded name fields in buffer/texture descriptions
and some of the pipeline state structs.
* A single function will give the human-readable name for a resource id.
This will look up a custom set of renames, on top of the names from
the resource descriptions.
* This item delegate will forward on either to a specified other
delegate or to the base implementation. This allows chaining delegates
(i.e. having one built-in to the widget, which forwards to a user-set
delegate).
* When opening a capture file, a format is now available to allow
easy import from another format without a completely different
interface. Only rdc files can be replayed, but any other file can
load and access structured data through the same interface.
* The replay initialisation and capture writing interfaces also use the
RDCFile instead of passing filenames or Serialisers around directly.
Driver initialisation parameters are now entirely private, and don't
need to be exposed - any agnostic metadata like thumbnail, driver, etc
are all accessed via the RDCFile container itself.
* Callstack resolution is now part of the container file, not the
back-end via way of its Serialiser.
* Importers/Exporters to other non-RDC formats are registered in a
similar way to replay/remote drivers.
* It is also then possible to construct an RDC file from thin air, by
creating an empty RDCFile container and filling it with data, then
requesting it to be written to disk.
* The new system contains the ability to export serialised data to a
structured form in memory - and conversion back to serialised bytes.
* This will allow offline transformations/visualisation of capture files
as well as more rich representations of API calls in the UI.
* Likewise it enables a number of optimisations such as the ability to
write straight from mapped API memory to disk via a compressor,
without any intermediate copies.
* Note that while this is public and uses std::string, because it's a
template with specialisations in a .inl the string never crosses a
module boundary - each including module has its own implementation.
* This will be used as part of the upcoming serialisation refactor.
* Some POD structs are still given ToStr implementations as we haven't
yet switched over the serialisation system to expect all structs to
have serialise functions.
* We have some special handling to allow SWIG wrapping of these types:
SDFile owns the chunks and buffers within, and each object owns its
children. Copying is disallowed except from SWIG where we assume the
wrapper is handling lifetime management for its objects externally.