Tested and working with new Q method
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1 changed files with 8 additions and 2 deletions
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@ -16,6 +16,7 @@ data_rows = [] # global 2-D list
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state = {}
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blacklist = []
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Inoise_baseline = 0.1
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n_clip_events = 0
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PATTERN = re.compile(
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r"Va=(?P<Va>[\d.-]+)\s+Vp=(?P<Vp>[\d.-]+)\s*\|\s*"
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@ -221,6 +222,7 @@ class TelnetReader:
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def process_line(self, line):
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global state
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global Inoise_baseline
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global n_clip_events
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print(line)
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if not line.startswith("Va="): # skip lines that are not to be analyzed
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return
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@ -242,7 +244,7 @@ class TelnetReader:
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extract_to_dataframe(line) # capture the measurement
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if state["freq"]>3.0:
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Inoise_baseline = 0.8*Inoise_baseline + 0.2*data_rows[-1][12] # remember last baseline around 3Hz (assuming top-down scanning)
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if data_rows and (data_rows[-1][11]>state["allowed_noise_level"] or data_rows[-1][12]>state["allowed_noise_level"] or (state["freq"]<3.0 and data_rows[-1][12]>1.25*Inoise_baseline)):
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if data_rows and (state["freq"]>10) and (data_rows[-1][11]>state["allowed_noise_level"] or data_rows[-1][12]>state["allowed_noise_level"]): # or (state["freq"]<3.0 and data_rows[-1][12]>1.25*Inoise_baseline)):
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# Too much noise: add to blacklist
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print("Too much noise - adding to blacklist")
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blacklist.append({"Freq": state["freq"], "NrToSkip": state["skip_scans_for_noisy_freqs"]})
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@ -250,7 +252,11 @@ class TelnetReader:
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del data_rows[-1] # remove this last entry from the list (for DB it is okay, but for CSV things will shift)
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else:
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if data_rows and (data_rows[-1][7]<5 or data_rows[-1][8]>250 or data_rows[-1][9]<5 or data_rows[-1][10]>250): # XXXDB
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if (++n_clip_events > 2): # react only after multiple clip events (solves startup issue)
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if data_rows[-1][9]>0: # make exception (for our broken hardware?)
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state["freq"] = 0 # force ending of the scan, and write no data in the database
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else:
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n_clip_events=0
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# calculate next freq
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if state["freq"] > 1.0:
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freq_multiplier = state["freq_step_multiply"] # calc next freq
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