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Author SHA1 Message Date
da651c7966 aangepaste start en config
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2026-05-30 11:18:08 +02:00
22eb53c068 Na R27 en R28 aanpassing: gebruikt R=331
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2026-05-28 22:13:38 +02:00
bc7cb4d360 added noise measurements
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2026-05-18 08:41:35 +02:00
a1798d1a29 Added backup workflow
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2026-04-15 21:10:12 +02:00
aca4f25ed6 fixed the indentation typo 2026-04-03 16:22:58 +02:00
73e8582835 oud algoritme van 17-mrt-2026 maar dan met versienummer support 2026-04-03 16:19:30 +02:00
f0cc0a2b93 tested and tuned on Veghel Lab system 2026-04-03 12:36:20 +02:00
5 changed files with 124 additions and 59 deletions

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@ -0,0 +1,39 @@
name: Git Backup to WebDAV
on:
push:
# This ensures it runs on every branch push
branches:
- '**'
jobs:
print-content:
runs-on: debian-latest
steps:
- name: checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: archive repository
run: |
PROJECT_NAME=$(echo "${{ github.repository }}" | cut -d'/' -f2)
BRANCH_NAME=$(echo "${{ github.ref_name }}" | sed 's/\//-/g')
TIMESTAMP=$(date +'%Y-%m-%d_%H-%M')
# Create the local variable
FINAL_NAME="${PROJECT_NAME}_${BRANCH_NAME}_${TIMESTAMP}.tar.gz"
# CRITICAL: Save it for the next step
echo "PROJECTNAME=$PROJECT_NAME" >> $GITHUB_ENV
echo "FILENAME=$FINAL_NAME" >> $GITHUB_ENV
# Create the archive
git archive --format=tar.gz -v -o "$FINAL_NAME" HEAD
echo "Archive created: $FINAL_NAME"
- name: Upload via Curl
run: |
ls -lh "$FILENAME"
curl -T "$FILENAME" \
-u "${{ secrets.WEBDAV_USER }}:${{ secrets.WEBDAV_PASSWORD }}" \
"${{ secrets.WEBDAV_URL }}/$PROJECTNAME/$FILENAME"

1
.gitignore vendored
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@ -1,2 +1 @@
.venv/
config.yaml

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@ -1,9 +1,12 @@
# Configuration file for scanner service
# it is automatically re-loaded between scans
start_freq: 1000
stop_freq: 0.2
start_freq: 4000
stop_freq: 0.4
freq_step_multiply: 0.95
allowed_noise_level: 9
skip_scans_for_noisy_freqs: 5
allowed_noise_level: 15
skip_scans_for_noisy_freqs: 3
ampl: 1600
noise_scan: False
hw_version: "2026-05-28" # aangepaste R27 en R28 voor boven 700A
scan_comment: "normale full scan met verbeterde PCB (nu goed boven 700A)"

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@ -6,17 +6,19 @@ import re
import telnetlib3
import csv
import time
import pyodbc # XXXDB
import pyodbc
import math
from datetime import datetime
import yaml
import os
VersionScripSoftware = "2026-05-28"
VersionDspSoftware = "Unknown"
data_rows = [] # global 2-D list
state = {}
blacklist = []
Inoise_baseline = 0.1
n_clip_events = 0
PATTERN = re.compile(
r"Va=(?P<Va>[\d.-]+)\s+Vp=(?P<Vp>[\d.-]+)\s*\|\s*"
@ -26,11 +28,9 @@ PATTERN = re.compile(
r"(?P<adc_vmin>[0-9a-fA-F]+)-(?P<adc_vmax>[0-9a-fA-F]+)\s+"
r"(?P<adc_imin>[0-9a-fA-F]+)-(?P<adc_imax>[0-9a-fA-F]+).*?\|\s*"
r"nv=(?P<nv>[\d.-]+)\s+ni=(?P<ni>[\d.-]+)\s*\|\s*"
r"QZR=(?P<QZR>[\d.-]+)\s+QZX=(?P<QZX>[\d.-]+)"
)
config_path = '/home/bart/python-scanner/config.yaml' # XXXDB
#config_path = 'config.yaml'
config_path = '/home/bart/python-scanner/config.yaml'
def load_yaml_config(state_dict):
if os.path.exists(config_path):
@ -55,16 +55,31 @@ conn_str = (
)
def dump_into_database():
print("dump into database\n")
try:
with pyodbc.connect(conn_str) as conn:
cursor = conn.cursor()
sweep_insert_time = datetime.now()
print("dump into database\n")
# Add scan details
cursor.execute("""
IF NOT EXISTS (
SELECT 1 FROM ScanDetails WHERE StartTimeOfSweep = ?
)
INSERT INTO ScanDetails
(StartTimeOfSweep, VersionScanScript, VersionDspSoftware, VersionHardware, Comment)
VALUES (?, ?, ?, ?, ?)
""", sweep_insert_time,
sweep_insert_time, VersionScripSoftware, VersionDspSoftware, state["hw_version"], state["scan_comment"])
print("commit1\n")
conn.commit()
with pyodbc.connect(conn_str) as conn:
cursor = conn.cursor()
# Prepare the data: SQL Server expects the columns in order.
if state["noise_scan"]==False:
# regular scan data
formatted_rows = [
[sweep_insert_time, r[0], r[13], r[14], r[1], r[2], r[3], r[4], r[11], r[12]]
[sweep_insert_time, r[0], r[5], r[6], r[1], r[2], r[3], r[4], r[11], r[12]]
for r in data_rows
]
sql = """
@ -88,7 +103,7 @@ def dump_into_database():
cursor.fast_executemany = False # needs less RAM
cursor.executemany(sql, formatted_rows)
print("commit\n")
print("commit2\n")
conn.commit()
print(f"Successfully inserted {len(formatted_rows)} rows.")
@ -98,7 +113,7 @@ def dump_into_database():
def dump_csv(filename="data.csv"):
df = pd.DataFrame(
data_rows,
columns=["Freq", "Va", "Vp", "Ia", "Ip", "QZR", "QZX", "adc_vmin", "adc_vmax", "adc_imin", "adc_imax", "nv", "ni"]
columns=["Freq", "Va", "Vp", "Ia", "Ip", "ZR", "ZX", "adc_vmin", "adc_vmax", "adc_imin", "adc_imax"]
)
df.to_csv(filename, index=False)
@ -148,10 +163,10 @@ def extract_to_dataframe(line):
int(match.group("adc_imax"), 16), # row 10
float(match.group("nv")), # row 11
float(match.group("ni")), # row 12
float(match.group("QZR")), # row 13
float(match.group("QZX")), # row 14
]
# print(row) #### XX
row[1] = row[1]/(2*3.14159*row[0]*0.00005 + 1) # compensate Va for pole at 20kHz
row[5] = row[1]/row[3] * math.cos(0.01745*(row[2]-row[4]))
row[6] = row[1]/row[3] * math.sin(0.01745*(row[2]-row[4]))
data_rows.append(row)
def process_line(line):
@ -163,7 +178,7 @@ def process_line(line):
def get_dataframe():
return pd.DataFrame(
data_rows,
columns=["Va", "Vp", "Ia", "Ip", "QZR", "QZX", "adc_vmin", "adc_vmax", "adc_imin", "adc_imax", "nv", "ni"]
columns=["Va", "Vp", "Ia", "Ip", "ZR", "ZX", "adc_vmin", "adc_vmax", "adc_imin", "adc_imax"]
)
class TelnetReader:
@ -189,14 +204,12 @@ class TelnetReader:
# Main loop: reads incoming lines forever
try:
while state["freq"] > state["stop_freq"]:
if state["initializing"]>0:
self.process_line("Va=")
else:
line = self.tn.read_until(b"\n") # read line
if not line:
break
decoded = line.decode("utf-8", errors="ignore").strip()
self.process_line(decoded) # extract all info from line
line = self.tn.read_until(b"\n") # read line
if not line:
break
decoded = line.decode("utf-8", errors="ignore").strip()
self.process_line(decoded) # extract all info from line
except KeyboardInterrupt:
print("Interrupted by user.")
@ -222,31 +235,34 @@ class TelnetReader:
def process_line(self, line):
global state
global Inoise_baseline
global n_clip_events
print(line)
global VersionDspSoftware
if line.startswith("SW-Version"):
VersionDspSoftware = line.split(":", 1)[1].strip() # remember the DSP software version from its reporting
print(f"DSP SW Version={VersionDspSoftware}\r\n")
if not line.startswith("Va="): # skip lines that are not to be analyzed
return
# prepare new frequency measurement
if state["initializing"] == 1:
# since we just start a frequency scan, let's set the R, Max and Amplitude
response = f"\rr516\r" # set Resistance value for scaling HAL sensor
self.tn.write(response.encode("utf-8"))
response = f"m1600\r" # set max amplitude value
self.tn.write(response.encode("utf-8"))
# for noise scans the amplitude is zero, else the state["ampl"]
if state["noise_scan"]==True:
response = f"a0\r" # zero amplitude for noise measurement
else:
response = f"a{state["ampl"]:.1f}\r" # set amplitude
self.tn.write(response.encode("utf-8"))
# there will be a lot of lines, but they will be skipped as they do not match the pattern
state["initializing"] = 2
else: # regular loop (initializing is 0 (normal) or 2 (first sample))
if state["initializing"] == 0:
if state["remaining_receive_lines"] > 0 :
state["remaining_receive_lines"] -= 1 # we are waiting for settling - just skip the line
else:
# prepare new frequency measurement
if state["initializing"] == 1:
# since we just start a frequency scan, let's set the R, Max and Amplitude
response = f"\rr331\r" # set Resistance value for scaling HAL sensor
self.tn.write(response.encode("utf-8"))
response = f"m1600\r" # set max amplitude value
self.tn.write(response.encode("utf-8"))
# for noise scans the amplitude is zero, else the state["ampl"]
if state["noise_scan"]==True:
response = f"a0\r" # zero amplitude for noise measurement
else:
response = f"a{state["ampl"]:.1f}\r" # set amplitude
self.tn.write(response.encode("utf-8"))
# there will be a lot of lines, but they will be skipped as they do not match the pattern
else: # regular loop (not initializing)
extract_to_dataframe(line) # capture the measurement
if state["freq"]>3.0:
Inoise_baseline = 0.8*Inoise_baseline + 0.2*data_rows[-1][12] # remember last baseline around 3Hz (assuming top-down scanning)
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)):
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)):
# Too much noise: add to blacklist
print("Too much noise - adding to blacklist")
blacklist.append({"Freq": state["freq"], "NrToSkip": state["skip_scans_for_noisy_freqs"]})
@ -254,11 +270,7 @@ class TelnetReader:
del data_rows[-1] # remove this last entry from the list (for DB it is okay, but for CSV things will shift)
else:
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
if (++n_clip_events > 2): # react only after multiple clip events (solves startup issue)
if data_rows[-1][9]>0: # make exception (for our broken hardware?)
state["freq"] = 0 # force ending of the scan, and write no data in the database
else:
n_clip_events=0
state["freq"] = 0 # force ending of the scan, and write no data in the database
# calculate next freq
if state["freq"] > 1.0:
freq_multiplier = state["freq_step_multiply"] # calc next freq
@ -268,17 +280,26 @@ class TelnetReader:
else:
freq_multiplier = state["freq_step_multiply"] ** 4 # skip 3/4 steps to speed up
state["freq"] *= freq_multiplier
while (any(item["Freq"] == state["freq"] for item in blacklist)):
print("skipping freq")
state["freq"] *= freq_multiplier # skip all frequencies that are blacklisted
if (state["freq"]>40) and (state["freq"]<660) and ((state["freq"]%50<2.5) or (-state["freq"]%50<2.5)):
state["freq"] *= freq_multiplier # if near a 50Hz harmonic, skip to the next frequency
# while (state["freq"]<0.6) and ((state["freq"]%state["interference_freq"]<state["interference_bandwidth"]) or (-state["freq"]<state["interference_freq"]<state["interference_bandwidth"])):
# state["freq"] *= freq_multiplier # if near a 0.052Hz harmonic, skip to the next frequency
if state["freq"] <= state["stop_freq"]:
print("Reached stop frequency")
else:
# program the health monitor to go to the next frequency:
response = f"\rQ{state["freq"]:.3f}\r" # new freq
if state["freq"] > 0.01:
response = f"\rf{state["freq"]:.1f}\r" # new freq
else:
response = f"\rf{state["freq"]:.3f}\r" # new freq
self.tn.write(response.encode("utf-8"))
# print(state)
bandwidth = state["freq"]/20
if bandwidth > 0.5 :
bandwidth = 0.5
response = f"b{bandwidth:.3f}\r" # new freq
self.tn.write(response.encode("utf-8"))
state["remaining_receive_lines"] = 1 + 4/bandwidth
print(line)
print(state)
state["initializing"] = 0
# Example:
@ -296,7 +317,7 @@ class TelnetReader:
if __name__ == "__main__":
reader = TelnetReader(host="localhost", port=2002)
# reader = TelnetReader(host="10.1.122.152", port=2002)
# reader = TelnetReader(host="192.168.1.235", port=2002)
# reader = TelnetReader(host="192.168.1.196", port=2002)
try:
reader.connect()
@ -306,6 +327,7 @@ if __name__ == "__main__":
load_yaml_config(state) # Load configuration settings
state["freq"] = state["start_freq"];
state["remaining_receive_lines"] = 0;
state["initializing"] = 1;
reader.read_loop()

2
start
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@ -1 +1,3 @@
sudo systemctl restart ser2net.service
sleep 2
systemctl --user start python-scanner