Buscando el problema de los Offsets Fuera de Orden

.gitignore

@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

CopyPaste.py

@@ -1,28 +1,24 @@
-def calculate_offsets(db_struct, current_offset=0):
+def handle_array_types(db_struct):
     """
-    Recursively calculate byte offsets for each field in the DB structure,
+    Handle array types once all UDTs are expanded.
-    applying general alignment rules except inside arrays.
+    This function modifies the structure in place.
     """
     if isinstance(db_struct, dict):
-        for key, value in db_struct.items():
+        for key, value in list(db_struct.items()):
-            if isinstance(value, dict) and 'type' in value:
-                is_array_element = value.get('is_array_element', False)
-                type_name = value['type']
-                size = type_sizes.get(type_name, 1)
-
-                if 'String' in type_name:
-                    match = re.match(r'String\[(\d+)\]', type_name)
-                    if match:
-                        size = int(match.group(1)) + 2  # String length + 2 for the null terminator and length prefix
-                
-                if not is_array_element and current_offset % 2 != 0:
-                    current_offset += 1  # Align to the next even offset if it's not an array element
-
-                value['offset'] = current_offset
-                current_offset += size
-
-            # Recursively handle nested structures
             if isinstance(value, dict):
-                current_offset = calculate_offsets(value, current_offset)
+                handle_array_types(value)
-
+            elif isinstance(value, str):
-    return current_offset
+                # Parsing array definitions, e.g., "Array[1..3] of Real"
+                match = re.match(r"Array\[(\d+)\.\.(\d+)\] of (\w+)", value)
+                if match:
+                    lower_bound, upper_bound, base_type = (
+                        int(match.group(1)),
+                        int(match.group(2)),
+                        match.group(3),
+                    )
+                    # Expand this field into multiple fields
+                    db_struct.pop(key)  # Remove the original field
+                    for i in range(lower_bound, upper_bound + 1):
+                        db_struct[f"{key}_{i}"] = {"type": base_type, 'is_array_element': True}
+                    print(
+                        f"Expanded field '{key}' into array fields: {key}_{lower_bound} to {key}_{upper_bound} of type {base_type}

DB_Structure.csv

@@ -1,176 +1,178 @@
-Nombre,Tipo,Offset,Comentario
+Nombre,Tipo,Offset,Dirección PLC,Comentario
-MAIN,"""UDT SIPA SV Main""",0,
+MAIN,"""UDT SIPA SV Main""",0,DBX0.0,
-MAIN.N1,DInt,0,.DB_IOT.USERLEVEL
+MAIN.N1,DInt,0,DBD0,.DB_IOT.USERLEVEL
-MAIN.N2,String[81],4,.DB_IOT.USERNAME
+MAIN.N2,String[81],4,DBX4.0,.DB_IOT.USERNAME
-MAIN.N3,String[81],88,.DB_IOT.NOME_RICETTA
+MAIN.N3,String[81],88,DBX88.0,.DB_IOT.NOME_RICETTA
-MAIN.N4,Int,172,.DB_IOT.NEXT_MAINT_CYCLES
+MAIN.N4,Int,172,DBW172,.DB_IOT.NEXT_MAINT_CYCLES
-MAIN.N5.V1,String[254],174,
+MAIN.N5.V1,String[254],174,DBX174.0,
-MAIN.N5.V2,String[254],430,
+MAIN.N5.V2,String[254],430,DBX430.0,
-MAIN.N5.V3,String[254],686,
+MAIN.N5.V3,String[254],686,DBX686.0,
-MAIN.N5.V4,String[254],942,
+MAIN.N5.V4,String[254],942,DBX942.0,
-MAIN.N5.V5,String[8],1198,
+MAIN.N5.V5,String[8],1198,DBX1198.0,
-MAIN.N6.type_1,Real,1208,N/A
+MAIN.N6,Array[1..3] of Real,1208,DBX1208.0,.DB_IOT.ELECTRIC_VOLTAGE_PHASE_D
-MAIN.N6.type_2,Real,1212,N/A
+MAIN.N6[1],Real,1208,DBD1208,.DB_IOT.ELECTRIC_VOLTAGE_PHASE_D
-MAIN.N6.type_3,Real,1216,N/A
+MAIN.N6[2],Real,1212,DBD1212,.DB_IOT.ELECTRIC_VOLTAGE_PHASE_D
-MAIN.N7.type_1,Real,1220,N/A
+MAIN.N6[3],Real,1216,DBD1216,.DB_IOT.ELECTRIC_VOLTAGE_PHASE_D
-MAIN.N7.type_2,Real,1224,N/A
+MAIN.N7,Array[1..3] of Real,1220,DBX1220.0,.DB_IOT.ELECTRIC_CURRENT_PHASE_D
-MAIN.N7.type_3,Real,1228,N/A
+MAIN.N7[1],Real,1220,DBD1220,.DB_IOT.ELECTRIC_CURRENT_PHASE_D
-MAIN.N8,Real,1232,.DB_IOT.ELECTRIC_POWER_D
+MAIN.N7[2],Real,1224,DBD1224,.DB_IOT.ELECTRIC_CURRENT_PHASE_D
-MAIN.N9,Real,1236,.DB_IOT.ELECTRIC_POWER_FACTOR_D
+MAIN.N7[3],Real,1228,DBD1228,.DB_IOT.ELECTRIC_CURRENT_PHASE_D
-MAIN.N10,Real,1240,.DB_IOT.ELECTRIC_POWER_HOUR_D
+MAIN.N8,Real,1232,DBD1232,.DB_IOT.ELECTRIC_POWER_D
-MAIN.N11,Real,1244,.DB_IOT.ELECTRIC_POWER_WH
+MAIN.N9,Real,1236,DBD1236,.DB_IOT.ELECTRIC_POWER_FACTOR_D
-SECT1,"""UDT SIPA SV Section""",1248,
+MAIN.N10,Real,1240,DBD1240,.DB_IOT.ELECTRIC_POWER_HOUR_D
-SECT1.N1,DInt,1664,.DB_IOT.STATO_MACCHINA
+MAIN.N11,Real,1244,DBD1244,.DB_IOT.ELECTRIC_POWER_WH
-SECT1.N2,DInt,1668,.DB_IOT.ALLARME_FERMO
+SECT1,"""UDT SIPA SV Section""",1248,DBX1248.0,
-SECT1.N3,DInt,1672,.DB_IOT.WARNING_ATTIVO  (che compromette produzione)
+SECT1.N1,DInt,1664,DBD1664,.DB_IOT.STATO_MACCHINA
-SECT1.N4,Int,1676,.DB_IOT.STATO_OPERATIVO  (Semaforo)
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-SECT1.N5,Int,1678,".DB_IOT.MODO_OPERATIVO  (Prod,Simula,Man, ecc)"
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-SECT3.N7.V16,DInt,1744,T_PRODUCT_100_HOURS
+SECT3.N7.V14,DInt,1736,DBD1736,T_DRY_CYCLE_HOURS
-SECT3.N7.V17,DInt,1748,T_PRODUCT_0_HOURS
+SECT3.N7.V15,DInt,1740,DBD1740,T_POWERED_HOURS
-SECT3.N7.V18,DInt,1752,T_STOP_HOURS
+SECT3.N7.V16,DInt,1744,DBD1744,T_PRODUCT_100_HOURS
-SECT3.N7.V19,Int,1756,T_ALARM_MINUTES
+SECT3.N7.V17,DInt,1748,DBD1748,T_PRODUCT_0_HOURS
-SECT3.N7.V20,Int,1758,T_DRY_CYCLE_MINUTES
+SECT3.N7.V18,DInt,1752,DBD1752,T_STOP_HOURS
-SECT3.N7.V21,Int,1760,T_POWERED_MINUTES
+SECT3.N7.V19,Int,1756,DBW1756,T_ALARM_MINUTES
-SECT3.N7.V22,Int,1762,T_PRODUCT_100_MINUTES
+SECT3.N7.V20,Int,1758,DBW1758,T_DRY_CYCLE_MINUTES
-SECT3.N7.V23,Int,1764,T_PRODUCT_0_MINUTES
+SECT3.N7.V21,Int,1760,DBW1760,T_POWERED_MINUTES
-SECT3.N7.V24,Int,1766,T_STOP_MINUTES
+SECT3.N7.V22,Int,1762,DBW1762,T_PRODUCT_100_MINUTES
-SECT4,"""UDT SIPA SV Section""",1560,
+SECT3.N7.V23,Int,1764,DBW1764,T_PRODUCT_0_MINUTES
-SECT4.N1,DInt,1664,.DB_IOT.STATO_MACCHINA
+SECT3.N7.V24,Int,1766,DBW1766,T_STOP_MINUTES
-SECT4.N2,DInt,1668,.DB_IOT.ALLARME_FERMO
+SECT4,"""UDT SIPA SV Section""",1560,DBX1560.0,
-SECT4.N3,DInt,1672,.DB_IOT.WARNING_ATTIVO  (che compromette produzione)
+SECT4.N1,DInt,1664,DBD1664,.DB_IOT.STATO_MACCHINA
-SECT4.N4,Int,1676,.DB_IOT.STATO_OPERATIVO  (Semaforo)
+SECT4.N2,DInt,1668,DBD1668,.DB_IOT.ALLARME_FERMO
-SECT4.N5,Int,1678,".DB_IOT.MODO_OPERATIVO  (Prod,Simula,Man, ecc)"
+SECT4.N3,DInt,1672,DBD1672,.DB_IOT.WARNING_ATTIVO  (che compromette produzione)
-SECT4.N6,DInt,1680,.DB_IOT.ALARM_STOP_NO
+SECT4.N4,Int,1676,DBW1676,.DB_IOT.STATO_OPERATIVO  (Semaforo)
-SECT4.N7.V1,DInt,1684,PIECES_TOT
+SECT4.N5,Int,1678,DBW1678,".DB_IOT.MODO_OPERATIVO  (Prod,Simula,Man, ecc)"
-SECT4.N7.V2,DInt,1688,PIECES_OK
+SECT4.N6,DInt,1680,DBD1680,.DB_IOT.ALARM_STOP_NO
-SECT4.N7.V3,DInt,1692,PIECES_KO_1
+SECT4.N7.V1,DInt,1684,DBD1684,PIECES_TOT
-SECT4.N7.V4,DInt,1696,PIECES_KO_2
+SECT4.N7.V2,DInt,1688,DBD1688,PIECES_OK
-SECT4.N7.V5,DInt,1700,PIECES_KO_3
+SECT4.N7.V3,DInt,1692,DBD1692,PIECES_KO_1
-SECT4.N7.V6,DInt,1704,PIECES_KO_4
+SECT4.N7.V4,DInt,1696,DBD1696,PIECES_KO_2
-SECT4.N7.V7,DInt,1708,PIECES_KO_5
+SECT4.N7.V5,DInt,1700,DBD1700,PIECES_KO_3
-SECT4.N7.V8,DInt,1712,PIECES_KO_6
+SECT4.N7.V6,DInt,1704,DBD1704,PIECES_KO_4
-SECT4.N7.V9,DInt,1716,PIECES_KO_7
+SECT4.N7.V7,DInt,1708,DBD1708,PIECES_KO_5
-SECT4.N7.V10,DInt,1720,PIECES_KO_8
+SECT4.N7.V8,DInt,1712,DBD1712,PIECES_KO_6
-SECT4.N7.V11,DInt,1724,PIECES_KO_9
+SECT4.N7.V9,DInt,1716,DBD1716,PIECES_KO_7
-SECT4.N7.V12,DInt,1728,PIECES_KO_10
+SECT4.N7.V10,DInt,1720,DBD1720,PIECES_KO_8
-SECT4.N7.V13,DInt,1732,T_ALARM_HOURS
+SECT4.N7.V11,DInt,1724,DBD1724,PIECES_KO_9
-SECT4.N7.V14,DInt,1736,T_DRY_CYCLE_HOURS
+SECT4.N7.V12,DInt,1728,DBD1728,PIECES_KO_10
-SECT4.N7.V15,DInt,1740,T_POWERED_HOURS
+SECT4.N7.V13,DInt,1732,DBD1732,T_ALARM_HOURS
-SECT4.N7.V16,DInt,1744,T_PRODUCT_100_HOURS
+SECT4.N7.V14,DInt,1736,DBD1736,T_DRY_CYCLE_HOURS
-SECT4.N7.V17,DInt,1748,T_PRODUCT_0_HOURS
+SECT4.N7.V15,DInt,1740,DBD1740,T_POWERED_HOURS
-SECT4.N7.V18,DInt,1752,T_STOP_HOURS
+SECT4.N7.V16,DInt,1744,DBD1744,T_PRODUCT_100_HOURS
-SECT4.N7.V19,Int,1756,T_ALARM_MINUTES
+SECT4.N7.V17,DInt,1748,DBD1748,T_PRODUCT_0_HOURS
-SECT4.N7.V20,Int,1758,T_DRY_CYCLE_MINUTES
+SECT4.N7.V18,DInt,1752,DBD1752,T_STOP_HOURS
-SECT4.N7.V21,Int,1760,T_POWERED_MINUTES
+SECT4.N7.V19,Int,1756,DBW1756,T_ALARM_MINUTES
-SECT4.N7.V22,Int,1762,T_PRODUCT_100_MINUTES
+SECT4.N7.V20,Int,1758,DBW1758,T_DRY_CYCLE_MINUTES
-SECT4.N7.V23,Int,1764,T_PRODUCT_0_MINUTES
+SECT4.N7.V21,Int,1760,DBW1760,T_POWERED_MINUTES
-SECT4.N7.V24,Int,1766,T_STOP_MINUTES
+SECT4.N7.V22,Int,1762,DBW1762,T_PRODUCT_100_MINUTES
-SECT5,"""UDT SIPA SV Section""",1664,
+SECT4.N7.V23,Int,1764,DBW1764,T_PRODUCT_0_MINUTES
-SECT5.N1,DInt,1664,.DB_IOT.STATO_MACCHINA
+SECT4.N7.V24,Int,1766,DBW1766,T_STOP_MINUTES
-SECT5.N2,DInt,1668,.DB_IOT.ALLARME_FERMO
+SECT5,"""UDT SIPA SV Section""",1664,DBX1664.0,
-SECT5.N3,DInt,1672,.DB_IOT.WARNING_ATTIVO  (che compromette produzione)
+SECT5.N1,DInt,1664,DBD1664,.DB_IOT.STATO_MACCHINA
-SECT5.N4,Int,1676,.DB_IOT.STATO_OPERATIVO  (Semaforo)
+SECT5.N2,DInt,1668,DBD1668,.DB_IOT.ALLARME_FERMO
-SECT5.N5,Int,1678,".DB_IOT.MODO_OPERATIVO  (Prod,Simula,Man, ecc)"
+SECT5.N3,DInt,1672,DBD1672,.DB_IOT.WARNING_ATTIVO  (che compromette produzione)
-SECT5.N6,DInt,1680,.DB_IOT.ALARM_STOP_NO
+SECT5.N4,Int,1676,DBW1676,.DB_IOT.STATO_OPERATIVO  (Semaforo)
-SECT5.N7.V1,DInt,1684,PIECES_TOT
+SECT5.N5,Int,1678,DBW1678,".DB_IOT.MODO_OPERATIVO  (Prod,Simula,Man, ecc)"
-SECT5.N7.V2,DInt,1688,PIECES_OK
+SECT5.N6,DInt,1680,DBD1680,.DB_IOT.ALARM_STOP_NO
-SECT5.N7.V3,DInt,1692,PIECES_KO_1
+SECT5.N7.V1,DInt,1684,DBD1684,PIECES_TOT
-SECT5.N7.V4,DInt,1696,PIECES_KO_2
+SECT5.N7.V2,DInt,1688,DBD1688,PIECES_OK
-SECT5.N7.V5,DInt,1700,PIECES_KO_3
+SECT5.N7.V3,DInt,1692,DBD1692,PIECES_KO_1
-SECT5.N7.V6,DInt,1704,PIECES_KO_4
+SECT5.N7.V4,DInt,1696,DBD1696,PIECES_KO_2
-SECT5.N7.V7,DInt,1708,PIECES_KO_5
+SECT5.N7.V5,DInt,1700,DBD1700,PIECES_KO_3
-SECT5.N7.V8,DInt,1712,PIECES_KO_6
+SECT5.N7.V6,DInt,1704,DBD1704,PIECES_KO_4
-SECT5.N7.V9,DInt,1716,PIECES_KO_7
+SECT5.N7.V7,DInt,1708,DBD1708,PIECES_KO_5
-SECT5.N7.V10,DInt,1720,PIECES_KO_8
+SECT5.N7.V8,DInt,1712,DBD1712,PIECES_KO_6
-SECT5.N7.V11,DInt,1724,PIECES_KO_9
+SECT5.N7.V9,DInt,1716,DBD1716,PIECES_KO_7
-SECT5.N7.V12,DInt,1728,PIECES_KO_10
+SECT5.N7.V10,DInt,1720,DBD1720,PIECES_KO_8
-SECT5.N7.V13,DInt,1732,T_ALARM_HOURS
+SECT5.N7.V11,DInt,1724,DBD1724,PIECES_KO_9
-SECT5.N7.V14,DInt,1736,T_DRY_CYCLE_HOURS
+SECT5.N7.V12,DInt,1728,DBD1728,PIECES_KO_10
-SECT5.N7.V15,DInt,1740,T_POWERED_HOURS
+SECT5.N7.V13,DInt,1732,DBD1732,T_ALARM_HOURS
-SECT5.N7.V16,DInt,1744,T_PRODUCT_100_HOURS
+SECT5.N7.V14,DInt,1736,DBD1736,T_DRY_CYCLE_HOURS
-SECT5.N7.V17,DInt,1748,T_PRODUCT_0_HOURS
+SECT5.N7.V15,DInt,1740,DBD1740,T_POWERED_HOURS
-SECT5.N7.V18,DInt,1752,T_STOP_HOURS
+SECT5.N7.V16,DInt,1744,DBD1744,T_PRODUCT_100_HOURS
-SECT5.N7.V19,Int,1756,T_ALARM_MINUTES
+SECT5.N7.V17,DInt,1748,DBD1748,T_PRODUCT_0_HOURS
-SECT5.N7.V20,Int,1758,T_DRY_CYCLE_MINUTES
+SECT5.N7.V18,DInt,1752,DBD1752,T_STOP_HOURS
-SECT5.N7.V21,Int,1760,T_POWERED_MINUTES
+SECT5.N7.V19,Int,1756,DBW1756,T_ALARM_MINUTES
-SECT5.N7.V22,Int,1762,T_PRODUCT_100_MINUTES
+SECT5.N7.V20,Int,1758,DBW1758,T_DRY_CYCLE_MINUTES
-SECT5.N7.V23,Int,1764,T_PRODUCT_0_MINUTES
+SECT5.N7.V21,Int,1760,DBW1760,T_POWERED_MINUTES
-SECT5.N7.V24,Int,1766,T_STOP_MINUTES
+SECT5.N7.V22,Int,1762,DBW1762,T_PRODUCT_100_MINUTES
+SECT5.N7.V23,Int,1764,DBW1764,T_PRODUCT_0_MINUTES
+SECT5.N7.V24,Int,1766,DBW1766,T_STOP_MINUTES

ExpandDB.py

@@ -29,29 +29,41 @@ def expand_udt_references(db_struct, udts):
 
 def handle_array_types(db_struct):
     """
-    Handle array types once all UDTs are expanded.
+    Handle array types to expand them into multiple fields as sub-elements while preserving comments.
-    This function modifies the structure in place.
+    Modifies the structure in place by expanding array definitions within their original field.
     """
     if isinstance(db_struct, dict):
         for key, value in list(db_struct.items()):
             if isinstance(value, dict):
+                # Recursively process nested dictionaries
                 handle_array_types(value)
-            elif isinstance(value, str):
+
-                # Parsing array definitions, e.g., "Array[1..3] of Real"
+            if isinstance(value, dict) and 'type' in value:
-                match = re.match(r"Array\[(\d+)\.\.(\d+)\] of (\w+)", value)
+                match = re.match(r"Array\[(\d+)\.\.(\d+)\] of (\w+)", value['type'])
                 if match:
-                    lower_bound, upper_bound, base_type = (
+                    lower_bound, upper_bound, base_type = int(match.group(1)), int(match.group(2)), match.group(3)
-                        int(match.group(1)),
+                    comment = value.get('comment', '')
-                        int(match.group(2)),
+
-                        match.group(3),
+                    # Instead of popping the original key, initialize a sub-dictionary
-                    )
+                    value['Array'] = {}  # Initialize a sub-dictionary for array elements
-                    # Expand this field into multiple fields
+
-                    db_struct.pop(key)  # Remove the original field
                     for i in range(lower_bound, upper_bound + 1):
-                        db_struct[f"{key}_{i}"] = {"type": base_type, 'is_array_element': True}
+                        element_key = f"[{i}]"
-                    print(
+                        value['Array'][element_key] = {
-                        f"Expanded field '{key}' into array fields: {key}_{lower_bound} to {key}_{upper_bound} of type {base_type}"
+                            'type': base_type,
-                    )
+                            'comment': comment,
+                            'is_array_element': True
+                        }
+
+                    # Optionally, modify or remove the original type designation if necessary
+                    # value.pop('type', None)  # Uncomment this if you want to remove the 'type' from the original
+
+                # Continue the recursive handling if it's not an array definition
+                elif isinstance(value, dict):
+                    handle_array_types(value)
+
+
+
 
 
 type_sizes = {
@@ -64,11 +76,31 @@ type_sizes = {
 }
 
 
+def calculate_plc_address(type_name, byte_offset, bit_offset=None):
+    """
+    Calculate the PLC address notation based on byte size, byte offset and bit offset.
+    """
+    byte_size = type_sizes.get(
+                        type_name, 0
+                    ) 
+    if type_name == "Bool":
+        if bit_offset is not None:
+            return f"DBX{byte_offset}.{bit_offset}"  # Address for single bits
+        return f"DBB{byte_offset}"  # Address for single bytes
+    elif byte_size == 2:
+        return f"DBW{byte_offset}"  # Address for two-byte words
+    elif byte_size == 4:
+        return f"DBD{byte_offset}"  # Address for four-byte double words
+    else:
+        return f"DBX{byte_offset}.0"  # Default to bit address for types longer than 4 bytes (e.g., strings)
+
+
 def calculate_offsets(db_struct, current_offset=0, parent=None):
     """
     Recursively calculate byte offsets for each field in the DB structure considering special types.
     """
     last_key_was_bool = False
+    last_bit_offset = 0  # To track bit offsets within a byte
     if isinstance(db_struct, dict):
         for key, value in list(db_struct.items()):
             if isinstance(value, dict):
@@ -81,10 +113,18 @@ def calculate_offsets(db_struct, current_offset=0, parent=None):
 
                     if not is_array_element and current_offset % 2 != 0:
                         current_offset += 1  # Align to the next even offset if it's not an array element
+                        last_bit_offset = 0
+
+                    plc_address = value.get('plc_address', False)
+                    if plc_address is not False:
+                        print("Address Already Calcolated!")
+
+                    plc_address = calculate_plc_address(type_name, current_offset, last_bit_offset)    
 
                     # Special handling for String types
                     if "String" in type_name:
                         match = re.match(r"String\[(\d+)\]", type_name)
+                        last_bit_offset = 0
                         if match:
                                     length = int(match.group(1))
                                     size = length + 2  # Account for null-termination and string length prefix
@@ -94,14 +134,16 @@ def calculate_offsets(db_struct, current_offset=0, parent=None):
                     # Adjusting Bool sizes based on grouping
                     if type_name == "Bool":
                         if last_key_was_bool:  # This is a grouped bool
-                            size = 0.125  # One bit per Bool if grouped
+                            last_bit_offset += 1  # One bit per Bool if grouped
                         else:
                             size = 2  # Bools use a full byte if not grouped
+                            last_bit_offset = 0
                         last_key_was_bool = True
                     else:
                         last_key_was_bool = False
 
                     value["offset"] = current_offset
+                    value['plc_address'] = plc_address  # Store the calculated PLC address
                     current_offset += size
 
                 current_offset = calculate_offsets(

ExportData.py

@@ -1,6 +1,7 @@
 import xmltodict
 import pandas as pd
 
+
 def save_json_to_xml(json_data, filename="DB_Structure.xml"):
     """
     Convert JSON data to XML and save it to a file.
@@ -32,20 +33,30 @@ def collect_data_for_table(db_struct, parent_prefix="", collected_data=[]):
     Recursively collect data from the DB structure to display in a tabular format,
     omitting 'fields' and 'Struct' in the names.
     """
+    is_array_element = False
     if isinstance(db_struct, dict):
         for key, value in db_struct.items():
             # Skip 'fields' and 'Struct' keys in the name path
-            if key == 'fields' or key == 'Struct':
+            # 
+            if key == "fields" or key == "Struct" or key == "Array":
                 next_prefix = parent_prefix  # Continue with the current prefix
             else:
-                next_prefix = f"{parent_prefix}.{key}" if parent_prefix else key
+                if isinstance(value, dict):
+                    is_array_element = value.get('is_array_element', False)
+                if not is_array_element:
+                    next_prefix = f"{parent_prefix}.{key}" if parent_prefix else key
+                else:
+                    next_prefix = f"{parent_prefix}{key}" if parent_prefix else key
 
-            if isinstance(value, dict) and 'type' in value:  # Directly a field with 'type'
+            if (
+                isinstance(value, dict) and "type" in value
+            ):  # Directly a field with 'type'
                 field_data = {
                     "Nombre": next_prefix,
-                    "Tipo": value.get('type', 'N/A'),
+                    "Tipo": value.get("type", "N/A"),
-                    "Offset": value.get('offset', 'N/A'),
+                    "Offset": value.get("offset", "N/A"),
-                    "Comentario": value.get('comment', 'N/A')
+                    "Dirección PLC": value.get("plc_address", "N/A"),
+                    "Comentario": value.get("comment", "N/A"),
                 }
                 collected_data.append(field_data)