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import json
from dfatool.lennart.DataInterface import DataInterface
import logging
logger = logging.getLogger(__name__)
# Adding additional parsing functionality
class SigrokResult:
def __init__(self, timestamps, onbeforefirstchange):
"""
Creates SigrokResult object, struct for timestamps and onBeforeFirstChange.
:param timestamps: list of changing timestamps
:param onbeforefirstchange: if the state before the first change is already on / should always be off, just to be data correct
"""
self.timestamps = timestamps
self.onBeforeFirstChange = onbeforefirstchange
def __str__(self):
"""
:return: string representation of object
"""
return "<Sigrok Result onBeforeFirstChange=%s timestamps=%s>" % (
self.onBeforeFirstChange,
self.timestamps,
)
def getDict(self):
"""
:return: dict representation of object
"""
data = {
"onBeforeFirstChange": self.onBeforeFirstChange,
"timestamps": self.timestamps,
}
return data
@classmethod
def fromFile(cls, path):
"""
Generates SigrokResult from json_file
:param path: file path
:return: SigrokResult object
"""
with open(path) as json_file:
data = json.load(json_file)
return SigrokResult(data["timestamps"], data["onBeforeFirstChange"])
pass
@classmethod
def fromString(cls, string):
"""
Generates SigrokResult from string
:param string: string
:return: SigrokResult object
"""
data = json.loads(string)
return SigrokResult(data["timestamps"], data["onBeforeFirstChange"])
pass
@classmethod
def fromTraces(cls, traces):
"""
Generates SigrokResult from ptalog.json traces
:param traces: traces from dfatool ptalog.json
:return: SigrokResult object
"""
timestamps = [0]
for tr in traces:
for t in tr["trace"]:
# print(t['online_aggregates']['duration'][0])
timestamps.append(
timestamps[-1] + (t["online_aggregates"]["duration"][0] * 10 ** -6)
)
# print(timestamps)
# prepend FAKE Sync point
t_neu = [0.0, 0.0000001, 1.0, 1.00000001]
for i, x in enumerate(timestamps):
t_neu.append(
round(float(x) + t_neu[3] + 0.20, 6)
) # list(map(float, t_ist.split(",")[:i+1]))
# append FAKE Sync point / eine überschneidung
# [30.403632, 30.403639, 31.407265, 31.407271]
# appendData = [29.144855,30.148495,30.148502,30.403632,30.403639,31.407265,31.407271,]
appendData = [0, 1.000001, 1.000002, 1.25, 1.2500001]
# TODO future work here, why does the sync not work completely
t_neu[-1] = (
t_neu[-2] + (t_neu[-1] - t_neu[-2]) * 0.9
) # Weird offset failure with UART stuff
offset = t_neu[-1] - appendData[0]
for x in appendData:
t_neu.append(x + offset)
# print(t_neu)
print(len(t_neu))
return SigrokResult(t_neu, False)
class SigrokInterface(DataInterface):
def __init__(self, sample_rate, driver="fx2lafw", filename="temp/sigrok.log"):
"""
:param sample_rate: Samplerate of the Logic Analyzer
:param driver: for many Logic Analyzer from Saleae the "fx2lafw" should be working
:param filename: temporary file name
"""
# options
self.sample_rate = sample_rate
self.file = open(filename, "w+")
self.driver = driver
# internal data
self.changes = []
self.start = None
self.last_val = None
self.index = 0
def runMeasure(self):
"""
Not implemented because implemented in subclasses
:return: None
"""
raise NotImplementedError("The method not implemented")
def forceStopMeasure(self):
"""
Not implemented because implemented in subclasses
:return: None
"""
raise NotImplementedError("The method not implemented")
def getData(self):
"""
:return:
"""
# return sigrok_energy_api_result(self.changes, True if self.start == 0xff else False)
return SigrokResult(
[x / self.sample_rate for x in self.changes],
True if self.start == 0xFF else False,
)
def analyzeData(self, byte):
"""
analyze one byte if it differs from the last byte, it will be appended to changes.
:param byte: one byte to analyze
"""
if self.start is None:
self.start = byte
self.last_val = byte
if byte != self.last_val:
self.changes.append(self.index)
self.last_val = byte
self.index += 1
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