xml to gef.md

XML to GEF

I don't like the xml format but unfortunately some people thought it would be a great idea to use that as a CPT exchange format. Fortunately for us some people wrote code to read those xml files and I have used their code to write a XML to GEF convertor. That code can be found here. I've tested it on some xml files but since I don't have many of them there will probably be some possible errors. For the files that I've tested everything is just fine.

Check out these repo's that are actively working on XML readers;

• https://github.com/cemsbv/pygef (working on xml borehole reader)
• https://github.com/Amsterdam/gefxml_viewer (a borehole and cpt reader for xml files)

Note that this code will only copy the most important parts of the cpt and not the full cpt information!

So here is the code, just copy and paste it as a function of the Cpt class of the gefxml_reader file in the https://github.com/Amsterdam/gefxml_viewer repo

def to_gef(self, output_file: str):
  # we only take u2 into account
  has_u2 = self.data["porePressureU2"].notnull().count() > 0

  f = open(output_file, "w")
  f.write("#GEFID= 1, 1, 0\n")
  if has_u2:
      f.write("COLUMN=6\n")
  else:
      f.write("COLUMN=5\n")
  f.write("#COLUMNINFO= 1, m (meter), sondeertrajectlengte, 1\n")
  f.write("#COLUMNINFO= 2, MPa (megaPascal), conusweerstand, 2\n")
  f.write("#COLUMNINFO= 3, m (meter), diepte, 11\n")
  f.write("#COLUMNINFO= 4, MPa (megaPascal), plaatselijke wrijving, 3\n")
  f.write("#COLUMNINFO= 5, % (procent; MPa/MPa), wrijvingsgetal, 4\n")
  if has_u2:
      f.write("#COLUMNINFO= 6, MPa (megaPascal), waterspanning u2, 6\n")
  f.write("#COLUMNSEPARATOR= ;\n")
  f.write("#COLUMNVOID= 1, 999\n")
  f.write("#COLUMNVOID= 2, 999\n")
  f.write("#COLUMNVOID= 3, 999\n")
  f.write("#COLUMNVOID= 4, 999\n")
  f.write("#COLUMNVOID= 5, 999\n")
  if has_u2:
      f.write("#COLUMNVOID= 6, 999\n")
  f.write("#COMPANYID= wordt niet automatisch geconverteerd, -\n")
  f.write(
      f"#FILEDATE= {self.date.year}, {self.date.month:02d}, {self.date.day:02d}\n"
  )
  f.write("#FILEOWNER= Basisregistratie Ondergrond\n")

  f.write(f"#LASTSCAN= {self.data.shape[0]}\n")

  f.write("#PROJECTID= BRO\n")
  f.write("#REPORTCODE= GEF-CPT-Report, 1, 1, 2\n")
  f.write(
      "#STARTDATE= {self.date.year}, {self.date.month:02d}, {self.date.day:02d}\n"
  )
  f.write("#STARTTIME= 12, 00, 00\n")
  f.write(f"#TESTID= {self.testid}\n")
  f.write(f"#XYID= 28992, {self.easting}, {self.northing}\n")
  f.write(f"#ZID= 31000, {self.groundlevel}\n")
  f.write("#EOH=\n")

  # 1 = penetrationLength
  # 2 = coneResistance
  # 3 = depth
  # 4 = localFriction
  # 5 = frictionRatio
  # 6 = optioneel porePressureU2
  for _, row in self.data.iterrows():
      pl = row["penetrationLength"]
      qc = row["coneResistance"]
      de = row["depth"]
      fs = row["localFriction"]
      fr = row["frictionRatio"]
      u2 = row["porePressureU2"]

      if np.isnan(pl):
          pl = 999
      if np.isnan(qc):
          qc = 999
      if np.isnan(de):
          de = 999
      if np.isnan(fs):
          fs = 999
      if np.isnan(fr):
          fr = 999
      if np.isnan(u2):
          u2 = 999

      s = f"{pl:.3f};{qc:.3f};{de:.3f};{fs:.3f};{fr:.1f}"

      if has_u2:
          s += f";{u2:.3f}"

      f.write(f"{s}\n")
  f.close()