HighLevelAnalyzer
Base class for High Level Analyzer (HLA) extensions.
Subclass this to create a custom HLA that processes frames from a lower-level analyzer and produces higher-level decoded frames.
Declare settings as class-level attributes using StringSetting,
NumberSetting, or ChoicesSetting. Define a result_types
dict mapping frame type names to their display format. Implement the decode method to process each input frame.
from saleae.analyzers import HighLevelAnalyzer, AnalyzerFrame, StringSetting
class MyHLA(HighLevelAnalyzer):
my_setting = StringSetting(label='My Setting')
result_types = {
'mytype': {'format': 'Output: {{data.val}}'}
}
def __init__(self):
pass
def decode(self, frame: AnalyzerFrame) -> AnalyzerFrame:
return AnalyzerFrame('mytype', frame.start_time, frame.end_time,
{'val': 'hello'})
AI/LLM users: see llms-extensions.txt for machine-readable documentation.