- Fixed regression introduced by incorrect format string in `exec`.
- LINT for the `procedure` module.
- Apply `Message.Encoder` when dumping values from the context.
- Merged `trello` plugin and backend into a single plugin.
- Removed legacy `Response` objects, replaced with data classes and
schemas.
- Fixed the Websocket connection flow to reflect the new authentication
protocol.
Closes: #307
- The following logging namespaces are now used, to make it easier to
filter only log lines related to the logged application message:
- `platypush:events`
- `platypush:requests`
- `platypush:responses`
- Those messages are always logged as JSON, with no prefixes nor
suffixes.
- Requests are always logged when executed - no more delegation to the
upstream backend.
- Responses are always logged when fully populated (including `id`,
`origin`, `target` etc.), instead of being logged when still partially
populated. This makes it particularly easy to link request/response
IDs directly from the logs.
The Tensorflow module may take a few seconds to load the first time and
slow down the first scan of the plugins.
All the Tensorflow imports should therefore be placed close to where
they are used instead of being defined at the top of the module.
- Support for nested attributes on event hook conditions. Things like
these are now possible:
```
from platypush.event.hook import hook
from platypush.message.event.entities import EntityUpdateEvent
@hook(EntityUpdateEvent, entity={"external_id": "system:cpu"})
def on_cpu_update_event(event: EntityUpdateEvent, **_):
print(event.args["entity"]["percent"])
```
- The scoring/regex extraction/partial string match logic in
`_matches_argument` is actually only needed for
`SpeechRecognizedEvent`. Other events don't need these features, and
event hooks may be actually triggered unexpectedly in case of partial
matches. Therefore, the "complex" `_matches_argument` has been moved
as an override only for `SpeechRecognizedEvent`, and all the other
events will perform simple key-value matching.