Compare commits
6 Commits
| Author | SHA1 | Date | |
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358773ddef | ||
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d0930261f7 | ||
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a03a3c2e4b | ||
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c102d4145c | ||
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c39f0fe781 | ||
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6742a785d3 |
@@ -28,10 +28,6 @@ import locale
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from datetime import datetime
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matplotlib.use('Agg')
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try:
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locale.setlocale(locale.LC_TIME, locale.getdefaultlocale())
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except locale.Error:
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locale.setlocale(locale.LC_TIME, 'C')
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ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" # For paired peaks names
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@@ -54,6 +50,22 @@ KLIPPAIN_COLORS = {
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}
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# Set the best locale for time and date formating (generation of the titles)
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try:
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locale.setlocale(locale.LC_TIME, locale.getdefaultlocale())
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except locale.Error:
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locale.setlocale(locale.LC_TIME, 'C')
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# Override the built-in print function to avoid problem in Klipper due to locale settings
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original_print = print
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def print_with_c_locale(*args, **kwargs):
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original_locale = locale.setlocale(locale.LC_ALL, None)
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locale.setlocale(locale.LC_ALL, 'C')
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original_print(*args, **kwargs)
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locale.setlocale(locale.LC_ALL, original_locale)
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print = print_with_c_locale
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######################################################################
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# Computation of the PSD graph
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######################################################################
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@@ -330,15 +342,15 @@ def compute_mhi(combined_data, similarity_coefficient, num_unpaired_peaks):
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def mhi_lut(mhi):
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if 0 <= mhi <= 30:
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return "Excellent mechanical health"
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elif 31 <= mhi <= 45:
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elif 30 < mhi <= 45:
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return "Good mechanical health"
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elif 46 <= mhi <= 55:
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elif 45 < mhi <= 55:
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return "Acceptable mechanical health"
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elif 56 <= mhi <= 70:
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elif 55 < mhi <= 70:
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return "Potential signs of a mechanical issue"
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elif 71 <= mhi <= 85:
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elif 70 < mhi <= 85:
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return "Likely a mechanical issue"
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elif 86 <= mhi <= 100:
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elif 85 < mhi <= 100:
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return "Mechanical issue detected"
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@@ -570,11 +582,15 @@ def belts_calibration(lognames, klipperdir="~/klipper", max_freq=200.):
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ax2 = fig.add_subplot(gs[1])
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# Add title
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title_line1 = "RELATIVE BELT CALIBRATION TOOL"
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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try:
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filename = lognames[0].split('/')[-1]
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dt = datetime.strptime(f"{filename.split('_')[1]} {filename.split('_')[2]}", "%Y%m%d %H%M%S")
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title_line1 = "RELATIVE BELT CALIBRATION TOOL"
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title_line2 = dt.strftime('%x %X')
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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except:
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print("Warning: CSV filenames look to be different than expected (%s , %s)" % (lognames[0], lognames[1]))
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title_line2 = lognames[0].split('/')[-1] + " / " + lognames[1].split('/')[-1]
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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# Plot the graphs
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@@ -35,10 +35,6 @@ import locale
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from datetime import datetime
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matplotlib.use('Agg')
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try:
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locale.setlocale(locale.LC_TIME, locale.getdefaultlocale())
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except locale.Error:
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locale.setlocale(locale.LC_TIME, 'C')
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PEAKS_DETECTION_THRESHOLD = 0.05
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@@ -52,6 +48,22 @@ KLIPPAIN_COLORS = {
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}
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# Set the best locale for time and date formating (generation of the titles)
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try:
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locale.setlocale(locale.LC_TIME, locale.getdefaultlocale())
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except locale.Error:
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locale.setlocale(locale.LC_TIME, 'C')
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# Override the built-in print function to avoid problem in Klipper due to locale settings
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original_print = print
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def print_with_c_locale(*args, **kwargs):
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original_locale = locale.setlocale(locale.LC_ALL, None)
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locale.setlocale(locale.LC_ALL, 'C')
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original_print(*args, **kwargs)
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locale.setlocale(locale.LC_ALL, original_locale)
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print = print_with_c_locale
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######################################################################
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# Computation
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######################################################################
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@@ -73,7 +85,7 @@ def calibrate_shaper_with_damping(datas, max_smoothing):
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fr, zeta = compute_damping_ratio(psd, freqs)
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print("Recommended shaper is %s @ %.1f Hz" % (shaper.name, shaper.freq))
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print("Axis has a resonant frequency ω0=%.1fHz with an estimated damping ratio ζ=%.3f" % (fr, zeta))
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print("Axis has a main resonant frequency at %.1fHz with an estimated damping ratio of %.3f" % (fr, zeta))
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return shaper.name, all_shapers, calibration_data, fr, zeta
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@@ -311,11 +323,15 @@ def shaper_calibration(lognames, klipperdir="~/klipper", max_smoothing=None, max
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ax2 = fig.add_subplot(gs[1])
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# Add title
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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dt = datetime.strptime(f"{filename_parts[3]} {filename_parts[4].split('.')[0]}", "%Y%m%d %H%M%S")
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title_line1 = "INPUT SHAPER CALIBRATION TOOL"
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title_line2 = dt.strftime('%x %X') + ' -- ' + filename_parts[2].upper() + ' axis'
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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try:
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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dt = datetime.strptime(f"{filename_parts[1]} {filename_parts[2]}", "%Y%m%d %H%M%S")
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title_line2 = dt.strftime('%x %X') + ' -- ' + filename_parts[3].upper().split('.')[0] + ' axis'
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except:
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print("Warning: CSV filename look to be different than expected (%s)" % (lognames[0]))
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title_line2 = lognames[0].split('/')[-1]
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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# Plot the graphs
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@@ -29,10 +29,6 @@ import locale
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from datetime import datetime
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matplotlib.use('Agg')
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try:
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locale.setlocale(locale.LC_TIME, locale.getdefaultlocale())
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except locale.Error:
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locale.setlocale(locale.LC_TIME, 'C')
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PEAKS_DETECTION_THRESHOLD = 0.05
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@@ -46,6 +42,22 @@ KLIPPAIN_COLORS = {
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}
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# Set the best locale for time and date formating (generation of the titles)
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try:
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locale.setlocale(locale.LC_TIME, locale.getdefaultlocale())
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except locale.Error:
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locale.setlocale(locale.LC_TIME, 'C')
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# Override the built-in print function to avoid problem in Klipper due to locale settings
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original_print = print
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def print_with_c_locale(*args, **kwargs):
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original_locale = locale.setlocale(locale.LC_ALL, None)
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locale.setlocale(locale.LC_ALL, 'C')
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original_print(*args, **kwargs)
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locale.setlocale(locale.LC_ALL, original_locale)
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print = print_with_c_locale
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######################################################################
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# Computation
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######################################################################
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@@ -348,7 +360,7 @@ def setup_klipper_import(kdir):
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shaper_calibrate = importlib.import_module('.shaper_calibrate', 'extras')
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def vibrations_calibration(lognames, klipperdir="~/klipper", axisname=None, max_freq=200., remove=0):
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def vibrations_calibration(lognames, klipperdir="~/klipper", axisname=None, max_freq=1000., remove=0):
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setup_klipper_import(klipperdir)
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# Parse the raw data and get them ready for analysis
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@@ -368,11 +380,15 @@ def vibrations_calibration(lognames, klipperdir="~/klipper", axisname=None, max_
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ax1 = fig.add_subplot(gs[0])
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ax2 = fig.add_subplot(gs[1])
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title_line1 = "VIBRATIONS MEASUREMENT TOOL"
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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try:
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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dt = datetime.strptime(f"{filename_parts[1]} {filename_parts[2].split('-')[0]}", "%Y%m%d %H%M%S")
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title_line1 = "VIBRATIONS MEASUREMENT TOOL"
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title_line2 = dt.strftime('%x %X') + ' -- ' + axisname.upper() + ' axis'
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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except:
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print("Warning: CSV filename look to be different than expected (%s)" % (lognames[0]))
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title_line2 = lognames[0].split('/')[-1]
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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# Remove speeds duplicates and graph the processed datas
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@@ -63,7 +63,16 @@ def get_belts_graph():
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current_date = datetime.now().strftime('%Y%m%d_%H%M%S')
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lognames = []
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for filename in glob.glob('/tmp/raw_data_axis*.csv'):
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globbed_files = glob.glob('/tmp/raw_data_axis*.csv')
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if not globbed_files:
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print("No CSV files found in the /tmp folder to create the belt graphs!")
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sys.exit(1)
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if len(globbed_files) < 2:
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print("Not enough CSV files found in the /tmp folder. Two files are required for the belt graphs!")
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sys.exit(1)
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sorted_files = sorted(globbed_files, key=os.path.getmtime, reverse=True)
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for filename in sorted_files[:2]:
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# Wait for the file handler to be released by Klipper
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while is_file_open(filename):
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time.sleep(3)
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@@ -86,13 +95,13 @@ def get_belts_graph():
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def get_shaper_graph():
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current_date = datetime.now().strftime('%Y%m%d_%H%M%S')
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# Get all the files and sort them based on last modified time to select the most recent one
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globbed_files = glob.glob('/tmp/raw_data*.csv')
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if len(globbed_files) > 1:
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print("There is more than 1 measurement.csv found in the /tmp folder. Unable to plot the shaper graphs!")
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print("Please clean the files in the /tmp folder and start again.")
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if not globbed_files:
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print("No CSV files found in the /tmp folder to create the input shaper graphs!")
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sys.exit(1)
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filename = globbed_files[0]
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sorted_files = sorted(globbed_files, key=os.path.getmtime, reverse=True)
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filename = sorted_files[0]
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# Wait for the file handler to be released by Klipper
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while is_file_open(filename):
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@@ -114,7 +123,15 @@ def get_vibrations_graph(axis_name):
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current_date = datetime.now().strftime('%Y%m%d_%H%M%S')
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lognames = []
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for filename in glob.glob('/tmp/adxl345-*.csv'):
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globbed_files = glob.glob('/tmp/adxl345-*.csv')
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if not globbed_files:
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print("No CSV files found in the /tmp folder to create the vibration graphs!")
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sys.exit(1)
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if len(globbed_files) < 3:
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print("Not enough CSV files found in the /tmp folder. At least 3 files are required for the vibration graphs!")
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sys.exit(1)
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for filename in globbed_files:
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# Wait for the file handler to be released by Klipper
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while is_file_open(filename):
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time.sleep(3)
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@@ -40,11 +40,15 @@ For those not using the full [Klippain](https://github.com/Frix-x/klippain), fol
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install_script: install.sh
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```
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> **Note**:
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>
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> If already using my old IS workflow scripts, please remove everything before installing this new module. This include the macros, the Python scripts, the `plot_graph.sh` and the `[gcode_shell_command plot_graph]` section.
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## Usage
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Ensure your machine is homed, then invoke one of the following macros as needed:
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- `BELTS_SHAPER_CALIBRATION` for belt resonance graphs, useful for verifying belt tension and differential belt paths behavior.
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- `AXES_SHAPER_CALIBRATION` for input shaper graphs to mitigate ringing/ghosting by tuning Klipper's `[input_shaper]` system.
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- `AXES_SHAPER_CALIBRATION` for input shaper graphs to mitigate ringing/ghosting by tuning Klipper's input shaper system.
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- `VIBRATIONS_CALIBRATION` for machine vibration graphs to optimize your slicer speed profiles.
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- `EXCITATE_AXIS_AT_FREQ` to sustain a specific excitation frequency, useful to let you inspect and find out what is resonating.
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Reference in New Issue
Block a user