Johan Stenberg (MSFT) johanste

johanste / RecognizerAsDispatcher.py

Last active July 15, 2020 03:56

Decorator instead of event subscribers/handlers

	import collections
	import json
	import typing

	class RecognitionCancelledError(Exception):
	...

	ConditionalHandler = collections.namedtuple('ConditionalHandler', 'condition handler')

	class Recognizer:

johanste / pull_loop.py

Created July 15, 2020 20:21

Pull events from a stream of detected features

	data = ...

	recognizer = Recognizer(...)

	for event in recognizer.recognize():
	if event.type == 'speakerRecognized':
	...
	elif event.type == 'done':
	...

johanste / carbonsession.py

Created July 17, 2020 22:59

Mix of decorators and module level function to compose multiple capabilities (Python)

	import carbon

	video_stream = ...

	# Module level function lets you pick a stream, "features" and go
	# (this assumes there is a default configuration for each feature/category/model)
	for event in carbon.recognize(video_stream, features=['faceDetection', 'vehicleDetection']):
	print(event)

	# Slightly more involved scenario with custom configurations and a dedicated session...

johanste / metaregistergridevent.py

Created July 23, 2020 01:33

Registering event types for event grid messages...

	class AiEventMeta(type):

	def __init__(cls, name, bases, nmspc):
	super().__init__(name, bases, nmspc)
	if not hasattr(cls, 'event_type_registry'):
	setattr(cls, 'event_type_registry', {})
	if hasattr(cls, 'EVENT_TYPE_NAME'):
	cls.event_type_registry[cls.EVENT_TYPE_NAME] = cls

	class AiEvent(metaclass=AiEventMeta):

johanste / computation.json

Last active July 31, 2020 16:51

Training/openapi example for service description

johanste / example.json

Last active October 5, 2020 22:28

Polymorphic swagger

	{
	"swagger": "2.0",
	"info": {
	"title": "Example of polymorphic models, hypothetical document recognition style",
	"version": "1.0"
	},
	"consumes": ["application/json"],
	"produces": ["application/json"],
	"paths": {
	"/analyze": {

johanste / openapi.py

Created December 4, 2020 22:53

Swagger as TypedDict (WIP)

	import typing


	class InfoFragment(typing.TypedDict):

	title: str
	version: str


	OptionalInAttribute = typing.TypedDict(

johanste / overloads-in-swagger-2.0.json

Last active January 13, 2021 21:55

Show how to use the (autorest) x-ms-paths extension to overload operations for the same path.

	{
	"swagger": "2.0",
	"info": {
	"title": "Show x-ms-paths",
	"version": "1.0"
	},
	"x-ms-paths": {
	/* Note - fake query parameter to make the path unique. Not actually used in the API.
	You can also differentiate using a different path parameter name if the path is parameterized
	*/

johanste / overrideresourceproperties.json

Created February 8, 2021 23:13

More specific "derived" swagger type

	{
	"swagger": "2.0",
	"info": {
	"title": "Examples of scenarios - #1, more constrained children",
	"version": "1.0"
	},
	"paths": [],
	"definitions": {
	"GenericResource": {
	"type": "object",

johanste / llc.py

Created March 4, 2021 04:23

Prototype generic llc request builder

	import json
	import typing

	import purl

	HeadersType = typing.Union[typing.Sequence[typing.Tuple[str, typing.Any]], typing.Mapping[str, typing.Any], None]
	JsonBodyType = typing.Union[typing.Mapping[str, "JsonBodyType"], str, int, float, bool, None]
	ParamType2 = typing.Union[typing.Sequence[typing.Tuple[str, typing.Any]], typing.Mapping[str, typing.Any]]
	ParamType = typing.Union[typing.Sequence[typing.Tuple[str, typing.Any]], typing.Mapping[str, typing.Any]]