added codegen-scripts and updated libs

Software/.gitignore

@@ -5,3 +5,4 @@ data/
 .vscode/launch.json
 .vscode/ipch
 wifi_credentials.ini
+__pycache__

Software/codegen/dtcs.py

@@ -0,0 +1,145 @@
+import os
+import time
+from jinja2 import Environment, FileSystemLoader
+import json
+import sys
+
+import filechecksum as fcs
+
+def build_dtcs():
+    # Pfad zur Eingabedatei und Ausgabedatei
+    input_file = "src/dtc_defs.txt"
+    output_file = "include/dtc_defs.h"
+    json_output_file = "data_src/static/dtc_table.json"
+    
+    # Überprüfen, ob das Verzeichnis existiert, andernfalls erstellen
+    json_output_dir = os.path.dirname(json_output_file)
+    if not os.path.exists(json_output_dir):
+        os.makedirs(json_output_dir)
+    
+    # Mehrdimensionales Array zum Speichern der Zeilen aus der Eingabedatei
+    dtc_lines = []
+    
+    # Lesen und analysieren der Eingabedatei
+    with open(input_file, "r", encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#"):
+                continue
+    
+            parts = line.split(";")
+            if len(parts) == 5:
+                num, dtc_name, dtc_severity, title, description = [part.strip() for part in parts]
+                dtc_lines.append([int(num), dtc_name, dtc_severity, title, description])
+    
+    # Überprüfen auf Duplikate in den DTC-Nummern und DTC-Namen
+    num_set = set()
+    dtc_name_set = set()
+    duplicates = []
+    
+    for line in dtc_lines:
+        num, dtc_name, _, _, _ = line
+        if num in num_set:
+            duplicates.append(f"DTC-Nummer {num} ist ein Duplikat.")
+        else:
+            num_set.add(num)
+    
+        if dtc_name in dtc_name_set:
+            duplicates.append(f"DTC-Name '{dtc_name}' ist ein Duplikat.")
+        else:
+            dtc_name_set.add(dtc_name)
+    
+    if duplicates:
+        for duplicate in duplicates:
+            print(f"Fehler: {duplicate}")
+        raise ValueError("Duplicate DTC Data detected")
+    
+    # Suchen nach DTC_NO_DTC und DTC_LAST_DTC
+    dtc_no_dtc_added = False
+    dtc_last_dtc_line = None
+    
+    for line in dtc_lines:
+        _, dtc_name, _, _, _ = line
+        if dtc_name == "DTC_NO_DTC":
+            dtc_no_dtc_added = True
+        elif dtc_name == "DTC_LAST_DTC":
+            dtc_last_dtc_line = line
+    
+    # Einen DTC für DTC_NO_DTC hinzufügen (wenn nicht vorhanden)
+    if not dtc_no_dtc_added:
+        dtc_lines.insert(0, [0, "DTC_NO_DTC", "DTC_NONE", "No Error", "No Error"])
+    
+    # Falls DTC_LAST_DTC existiert, lösche es
+    if dtc_last_dtc_line:
+        dtc_lines.remove(dtc_last_dtc_line)
+    
+    # Einen DTC für DTC_LAST_DTC hinzufügen (mit der höchsten Nummer)
+    if dtc_lines:
+        highest_num = max([line[0] for line in dtc_lines])
+    else:
+        highest_num = 0
+    
+    dtc_lines.append([highest_num + 1, "DTC_LAST_DTC", "DTC_NONE", "Last Error", "Last Error"])
+    
+    # Sortieren der Zeilen nach der Nummer aufsteigend
+    dtc_lines.sort(key=lambda x: x[0])
+    
+    checksum = fcs.calculate_checksum(dtc_lines)
+    timestamp = int(time.time())
+    
+    if fcs.read_and_compare_checksum(output_file, checksum):
+        print("Keine Änderungen im DTC-Headerfile erforderlich.")
+    else:
+        # DTC_NAME_CONSTANT-Makros initialisieren
+        dtc_macros = []
+        dtc_structs = []
+    
+        # Verarbeiten der sortierten Zeilen
+        for i, line in enumerate(dtc_lines):
+            num, dtc_name, dtc_severity, title, description = line
+            dtc_macros.append(f"#define {dtc_name:<30} {num}")
+            comma = "," if i < len(dtc_lines) - 1 else " "
+            dtc_structs.append(f"    {{ {dtc_name:<30}, {dtc_severity:<12} }}{comma} // {description}")
+    
+        env = Environment(loader=FileSystemLoader('codegen/templates', encoding='utf-8'))
+        # Lade das Jinja2-Template aus der Datei
+        template = env.get_template('dtc_defs.h.j2')
+    
+        # Erstelle ein Context-Dictionary mit den erforderlichen Daten
+        context = {
+            'timestamp_unix': timestamp,
+            'timestamp' : time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(timestamp)),
+            'date' : time.strftime('%d.%m.%Y', time.localtime(timestamp)),
+            'dtc_macros': dtc_macros,  # Übergebe die dtc_macros-Liste direkt
+            'dtc_structs': dtc_structs,  # Übergebe die dtc_structs-Liste direkt
+            'checksum' : checksum
+        }
+   
+        # Rendere das Template mit den Werten und erhalte den Header-Text
+        header_text = template.render(context)
+    
+        # Schreibe den generierten Header-Text in die Header-Datei
+        with open(output_file, "w", encoding='utf-8') as f:
+            f.write(header_text)
+    
+        print(f"Header-Datei wurde erstellt: {output_file}")
+    
+    if fcs.read_and_compare_json_checksum(json_output_file, checksum):
+        print("Keine Änderungen im DTC-JSON-file erforderlich.")
+    else:
+        dtc_info = {
+            "codegenerator_checksum": checksum,
+            'timestamp' : time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(timestamp)),
+            "dtc_table_data": []
+        }
+    
+        # Verarbeiten der sortierten Zeilen
+        for i, line in enumerate(dtc_lines):
+            num, dtc_name, dtc_severity, title, description = line
+            dtc_info["dtc_table_data"].append({"num": num, "title": title, "description": description})
+
+        # JSON-Datei mit UTF-8-Zeichencodierung erstellen
+        with open(json_output_file, 'w', encoding='utf-8') as json_f:
+            json.dump(dtc_info, json_f, ensure_ascii=False, indent=4, separators=(',', ': '))
+    
+        print(f"JSON-Datei wurde erstellt: {json_output_file}")

Software/codegen/filechecksum.py

@@ -0,0 +1,45 @@
+
+import hashlib
+import json
+
+# Funktion zum Berechnen der SHA-256-Checksumme
+def calculate_checksum(data):
+    sha256 = hashlib.sha256()
+    sha256.update(str(data).encode('utf-8'))
+    return sha256.hexdigest()
+
+# Funktion zum Lesen und Vergleichen der Checksumme in einer Datei
+def read_and_compare_checksum(file_path, expected_checksum):
+    try:
+        with open(file_path, 'r') as file:
+            content = file.read()
+            # Suche nach der Zeile mit der Checksumme
+            checksum_line_start = content.find("// CODEGENERATOR_CHECKSUM:")
+            if checksum_line_start != -1:
+                # Extrahiere die Checksumme aus der Zeile
+                existing_checksum = content[checksum_line_start + len("// CODEGENERATOR_CHECKSUM:"):].strip()
+                # Vergleiche die Checksummen
+                if existing_checksum == expected_checksum:
+                    return True
+    except FileNotFoundError:
+        pass  # Datei existiert nicht, was nicht schlimm ist
+
+    return False
+
+def read_and_compare_json_checksum(json_file_path, expected_checksum):
+    try:
+        with open(json_file_path, 'r') as json_file:
+            # Lade das JSON aus der Datei
+            data = json.load(json_file)
+            
+            # Überprüfe, ob "codegenerator_checksum" im JSON vorhanden ist
+            if "codegenerator_checksum" in data:
+                existing_checksum = data["codegenerator_checksum"]
+                
+                # Vergleiche die Checksummen
+                if existing_checksum == expected_checksum:
+                    return True
+    except FileNotFoundError:
+        pass  # Datei existiert nicht, was nicht schlimm ist
+
+    return False

Software/codegen/prepare_littlefs.py

@@ -6,9 +6,71 @@ import glob
 import shutil
 import gzip
 import os
+import subprocess
+import platform
 Import("env")
 Import("projenv")
 
+# Überprüfe die Betriebssystemplattform
+if platform.system() == "Windows":
+    # Setze die Pfade zu den Tools für Windows
+    html_minifier_path = os.path.join(os.getenv("APPDATA"), "npm", "html-minifier.cmd")
+    uglifyjs_path = os.path.join(os.getenv("APPDATA"), "npm", "uglifyjs.cmd")
+    terser_path = os.path.join(os.getenv("APPDATA"), "npm", "terser.cmd")
+    cssnano_path = os.path.join(os.getenv("APPDATA"), "npm", "cssnano.cmd")
+elif platform.system() == "Linux":
+    # Setze die Namen der Tools für Linux
+    html_minifier_path = "html-minifier"
+    uglifyjs_path = "uglifyjs"
+    terser_path = "terser"
+    cssnano_path = "cssnano"
+else:
+    # Hier könntest du weitere Bedingungen für andere Betriebssysteme hinzufügen
+    raise Exception("Unterstütztes Betriebssystem nicht erkannt")
+
+
+def minify_html(input_path, output_path):
+    subprocess.run([html_minifier_path, '--collapse-whitespace', '--remove-comments', input_path, '-o', output_path])
+
+def minify_js(input_path, output_path):
+    subprocess.run([terser_path, input_path, '-o', output_path, '-c', '-m'])
+
+def minify_css(input_path, output_path):
+    subprocess.run([cssnano_path, '--no-discardUnused', input_path, output_path])
+
+def process_file(src_path, dest_path):
+    _, file_extension = os.path.splitext(src_path)
+
+    # Extrahiere den Ordnerpfad im Zielverzeichnis
+    dest_dir = os.path.dirname(dest_path)
+
+    # Erstelle den Ordner und alle dazugehörigen Unterordner, falls sie nicht existieren
+    os.makedirs(dest_dir, exist_ok=True)
+
+    if file_extension.lower() == '.js':
+        minify_js(src_path, dest_path)
+    elif file_extension.lower() == '.css':
+        minify_css(src_path, dest_path)
+    elif file_extension.lower() in ['.html', '.htm']:
+        minify_html(src_path, dest_path)
+    else:
+        # Kopiere nicht bearbeitbare Dateien direkt in den Zielordner
+        shutil.copy2(src_path, dest_path)
+
+def strip_files(src_dir, dest_dir):
+    # Erstelle den Zielordner und alle dazugehörigen Unterordner, falls sie nicht existieren
+    os.makedirs(dest_dir, exist_ok=True)
+
+    # Durchlaufe alle Dateien und Unterverzeichnisse im Quellordner
+    for root, _, files in os.walk(src_dir):
+        for filename in files:
+            src_path = os.path.join(root, filename)
+            dest_path = os.path.relpath(src_path, src_dir)
+            dest_path = os.path.join(dest_dir, dest_path)
+
+            # Verarbeite nur Dateien (keine Unterverzeichnisse)
+            process_file(src_path, dest_path)
+
 
 def gzip_file(src_path, dst_path):
 
@@ -47,14 +109,16 @@ def gzip_webfiles(source, target, env):
     filetypes_to_gzip = ['.css', '.png', '.js', '.ico', '.woff2', '.json']
     print('\nGZIP: Starting gzip-Process for LittleFS-Image...\n')
     data_src_dir_path = os.path.join(env.get('PROJECT_DIR'), 'data_src')
+    data_temp_dir_path = os.path.join(env.get('PROJECT_DIR'), 'data_stripped')
+    strip_files(data_src_dir_path, data_temp_dir_path)
     data_dir_path = env.get('PROJECT_DATA_DIR')
     # check if data and datasrc exist. If the first exists and not the second, it renames it
-    if(os.path.exists(data_dir_path) and not os.path.exists(data_src_dir_path)):
+    if(os.path.exists(data_dir_path) and not os.path.exists(data_temp_dir_path)):
         print('GZIP: Directory "'+data_dir_path +
-              '" exists, "'+data_src_dir_path+'" is not found.')
+              '" exists, "'+data_temp_dir_path+'" is not found.')
         print('GZIP: Renaming "' + data_dir_path +
-              '" to "' + data_src_dir_path + '"')
+              '" to "' + data_temp_dir_path + '"')
-        os.rename(data_dir_path, data_src_dir_path)
+        os.rename(data_dir_path, data_temp_dir_path)
     # Delete the 'data' directory
     if(os.path.exists(data_dir_path)):
         print('GZIP: Deleting the "data" directory ' + data_dir_path)
@@ -67,27 +131,27 @@ def gzip_webfiles(source, target, env):
     files_to_copy = []
     files_to_gzip = []
 
-    all_data_src = getListOfFiles(data_src_dir_path)
+    all_data_src = getListOfFiles(data_temp_dir_path)
     for file in all_data_src:
         file_name, file_extension = os.path.splitext(file)
         print(file_name + " has filetype " + file_extension)
         if file_extension in filetypes_to_gzip:
             files_to_gzip.append(file)
         else:
-            filename_subdir = remove_prefix(file, data_src_dir_path)
+            filename_subdir = remove_prefix(file, data_temp_dir_path)
             files_to_copy.append(filename_subdir)
 
     for file in files_to_copy:
-        print('GZIP: Copying file from: ' + data_src_dir_path + file + ' to: ' + data_dir_path + file)
+        print('GZIP: Copying file from: ' + data_temp_dir_path + file + ' to: ' + data_dir_path + file)
         os.makedirs(os.path.dirname(data_dir_path + file), exist_ok=True)
-        shutil.copy(data_src_dir_path + file, data_dir_path + file)
+        shutil.copy(data_temp_dir_path + file, data_dir_path + file)
     # Compress and move files
     
     was_error = False
     try:
         for source_file_path in files_to_gzip:
             print('GZIP: compressing... ' + source_file_path)
-            filename_subdir = remove_prefix(source_file_path, data_src_dir_path)
+            filename_subdir = remove_prefix(source_file_path, data_temp_dir_path)
             target_file_path = data_dir_path + filename_subdir
             os.makedirs(os.path.dirname(target_file_path), exist_ok=True)
             print('GZIP: Compressed... ' + target_file_path)
@@ -100,6 +164,7 @@ def gzip_webfiles(source, target, env):
         print('GZIP: Failure/Incomplete.\n')
     else:
         print('GZIP: Compressed correctly.\n')
+        shutil.rmtree(data_temp_dir_path)
 
     return
  

Software/codegen/run_pre.py

@@ -0,0 +1,8 @@
+Import("env")  # pylint: disable=undefined-variable
+env.Execute("\"$PYTHONEXE\" -m pip install jinja2")
+
+import struct2json
+import dtcs
+
+struct2json.struct2json()
+dtcs.build_dtcs()

Software/codegen/struct2json.py

@@ -0,0 +1,113 @@
+import os
+import time
+from jinja2 import Environment, FileSystemLoader
+import re
+
+import filechecksum as fcs
+
+# Pfad zur Eingabedatei und Ausgabedatei
+input_file = "include/eeprom.h"
+output_sourcefile = "src/struct2json.cpp"
+output_headerfile = "include/struct2json.h"
+# Liste der zu suchenden Variablen/Structs
+variable_names = ['ConfigData', 'PersistenceData']
+
+def get_types(file_content, variable_names):
+    result = {}
+    
+    # Entferne Kommentare, um unerwünschte Störungen zu vermeiden
+    file_content = re.sub(r'\/\*.*?\*\/', '', file_content, flags=re.DOTALL)
+    file_content = re.sub(r'\/\/.*', '', file_content)
+    
+    for var_name in variable_names:
+        # Erstelle ein reguläres Ausdrucksmuster, um den Typ der Variable zu extrahieren
+        pattern = re.compile(r'\b(?:extern\s+)?(\w+)\s+' + re.escape(var_name) + r'\s*;')
+        match = pattern.search(file_content)
+        
+        if match:
+            # Extrahiere den Typ aus dem Treffer
+            type_match = match.group(1)
+            result[var_name] = type_match
+
+    return result
+
+def extract_struct_fields(file_content, variable_types):
+    result = {}
+
+    # Entferne Kommentare, um unerwünschte Störungen zu vermeiden
+    file_content = re.sub(r'\/\*.*?\*\/', '', file_content, flags=re.DOTALL)
+    file_content = re.sub(r'\/\/.*', '', file_content)
+
+    for var_name, var_type in variable_types.items():
+        # Erstelle ein reguläres Ausdrucksmuster, um das Strukturfeld zu extrahieren
+        pattern = re.compile(r'typedef\s+struct\s*{([^}]*)}\s*' + re.escape(var_type) + r'\s*;')
+        match = pattern.search(file_content)
+
+        if match:
+            # Extrahiere die Felder aus dem Treffer
+            fields_match = re.findall(r'\b(\w+)\s+(\w+)(?:\[(\d+)\])?\s*;', match.group(1))
+            if fields_match:
+                result[var_name] = {'type': var_type, 'fields': {}}
+                for field_type, field_name, array_size in fields_match:
+                    if array_size:
+                        result[var_name]['fields'][field_name] = {'type': field_type, 'size': int(array_size)}
+                    else:
+                        result[var_name]['fields'][field_name] = {'type': field_type}
+
+    return result
+
+def struct2json():
+    # Überprüfen, ob die Verzeichnisse existieren, andernfalls erstellen
+    output_dir_source = os.path.dirname(output_sourcefile)
+    if not os.path.exists(output_dir_source):
+        os.makedirs(output_dir_source)
+    output_dir_header = os.path.dirname(output_headerfile)
+    if not os.path.exists(output_dir_header):
+        os.makedirs(output_dir_header)
+
+    # Unix-Zeitstempel hinzufügen
+    timestamp = int(time.time())
+
+    # Parse structs
+    with open(input_file, 'r') as file:
+        content = file.read()
+
+    variable_types = get_types(content, variable_names)
+    structs = extract_struct_fields(content, variable_types)
+    checksum = fcs.calculate_checksum(structs)
+
+    env = Environment(loader=FileSystemLoader('codegen/templates', encoding='utf-8'))
+    # Lade das Jinja2-Template aus der Datei
+    template_c = env.get_template('struct2json.cpp.j2')
+    template_h = env.get_template('struct2json.h.j2')
+
+    # Erstelle ein Context-Dictionary mit den erforderlichen Daten
+    context = {
+        'timestamp_unix': timestamp,
+        'timestamp' : time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(timestamp)),
+        'date' : time.strftime('%d.%m.%Y', time.localtime(timestamp)),
+        'structs': structs,
+        'checksum': checksum
+    }
+
+    # Überprüfe, ob die Checksummen übereinstimmen
+    if fcs.read_and_compare_checksum(output_sourcefile, checksum):
+        print("Keine Änderungen in der Source-Datei erforderlich.")
+    else:
+        # Rendere das Template mit den Werten und erhalte den Source-Text
+        source_text = template_c.render(context)
+        # Schreibe den generierten Source-Text in die Source-Datei
+        with open(output_sourcefile, "w", encoding='utf-8') as f:
+            f.write(source_text)
+        print(f"Source-Datei wurde erstellt: {output_sourcefile}")
+
+    # Überprüfe, ob die Checksummen übereinstimmen
+    if fcs.read_and_compare_checksum(output_headerfile, checksum):
+        print("Keine Änderungen in der Header-Datei erforderlich.")
+    else:
+        # Rendere das Template mit den Werten und erhalte den Header-Text
+        header_text = template_h.render(context)
+        # Schreibe den generierten Header-Text in die Header-Datei
+        with open(output_headerfile, "w", encoding='utf-8') as f:
+            f.write(header_text)
+        print(f"Header-Datei wurde erstellt: {output_headerfile}")

Software/codegen/templates/dtc_defs.h.j2

@@ -0,0 +1,54 @@
+/**
+ * @file dtc_defs.h
+ *
+ * @brief Header file for Diagnostic Trouble Code (DTC) definitions in the DE-Timer application.
+ *
+ * This file contains definitions for Diagnostic Trouble Codes (DTC) in the DE-Timer project.
+ * It includes enums for DTC active status, severity levels, and specific DTC codes.
+ * The file also defines an array of DTC definitions and a timestamp indicating the generation time.
+ *
+ * @note This file is auto-generated by a script on {{ timestamp }}.
+ *
+ * @author Marcel Peterkau
+ * @date   {{ date }}
+ */
+
+#ifndef DTC_DEFS_H
+#define DTC_DEFS_H
+
+#include <stdint.h>
+
+typedef uint32_t DTCNum_t;
+
+typedef enum
+{
+  DTC_INACTIVE,
+  DTC_ACTIVE,
+  DTC_PREVIOUS
+} DTCActive_t;
+
+typedef enum
+{
+  DTC_NONE,
+  DTC_INFO,
+  DTC_WARN,
+  DTC_CRITICAL
+} DTCSeverity_t;
+
+typedef struct {
+  DTCNum_t code;
+  DTCSeverity_t severity;
+} DTC_t;
+
+{% for dtc in dtc_macros -%}
+{{ dtc }}
+{% endfor %}
+const DTC_t dtc_definitions[] = {
+{% for struct in dtc_structs -%}
+{{ struct }}
+{% endfor -%}
+};
+
+#endif // DTC_DEFS_H
+
+// CODEGENERATOR_CHECKSUM: {{ checksum }}

Software/codegen/templates/struct2json.cpp.j2

@@ -0,0 +1,25 @@
+/**
+ * @file struct2json.cpp
+ *
+ * @brief Implementation file for converting structs to JSON objects.
+ *
+ * @note This file is auto-generated by a script on {{ timestamp }}.
+ *
+ * @author Marcel Peterkau
+ * @date   {{ date }}
+ */
+
+
+#include "struct2json.h"
+
+{% for var_name, var_info in structs.items() -%}
+void generateJsonObject_{{ var_name }}(JsonObject data)
+{
+    {% for field_name, field_type in var_info['fields'].items() -%}
+    data["{{ field_name }}"] = {{ var_name }}.{{ field_name }};
+    {% endfor -%}
+}
+
+{% endfor %}
+
+// CODEGENERATOR_CHECKSUM: {{ checksum }}

Software/codegen/templates/struct2json.h.j2

@@ -0,0 +1,26 @@
+/**
+ * @file struct2json.h
+ *
+ * @brief Header file for converting structs to JSON objects.
+ *
+ * @note This file is auto-generated by a script on {{ timestamp }}.
+ *
+ * @author Marcel Peterkau
+ * @date   {{ date }}
+ */
+
+#ifndef _STRUCT2JSON_H_
+#define _STRUCT2JSON_H_
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+
+#include "eeprom.h"
+
+{% for var_name, var_info in structs.items() -%}
+void generateJsonObject_{{ var_name }}(JsonObject data);
+{% endfor %}
+
+#endif /* _STRUCT2JSON_H_ */
+
+// CODEGENERATOR_CHECKSUM: {{ checksum }}

Software/platformio.ini

@@ -25,11 +25,10 @@ upload_speed = 921600
 ;   --auth=${wifi_cred.ota_password}
 
 build_flags=
-  !python git_rev_macro.py
+  !python codegen/git_rev_macro.py
   -DATOMIC_FS_UPDATE
-  ;-DFEATURE_ENABLE_WIFI_CLIENT
+  -DFEATURE_ENABLE_WIFI_CLIENT
   ;-DFEATURE_ENABLE_LORA
-  ;-DCAPTIVE
   -DFEATURE_ENABLE_UARTLORA
   -DWIFI_AP_IP_GW=10,0,0,1
   -DADMIN_PASSWORD=${wifi_cred.ota_password}
@@ -43,18 +42,22 @@ build_flags=
 
 board_build.filesystem = littlefs
 board_build.ldscript = eagle.flash.4m1m.ld
-extra_scripts = post:prepare_littlefs.py
+extra_scripts = 
+  post:codegen/prepare_littlefs.py
+  pre:codegen/run_pre.py
 
 monitor_filters = esp8266_exception_decoder
 monitor_speed = 115200
 
+lib_ldf_mode = deep
 lib_deps = 
 	;xreef/EByte LoRa E220 library@^1.0.6   ; made Lib local, due to changes for I2C-controller M0,M1-Pins
 	sstaub/Ticker@^4.4.0
   robtillaart/PCF8574 @ ^0.3.7
 	adafruit/Adafruit INA219 @ ^1.1.1
   akj7/TM1637 Driver @ ^2.1.2
-  me-no-dev/ESPAsyncTCP @ ^1.2.2
+  sstaub/Ticker @ ^4.4.0
-  robtillaart/I2C_EEPROM @ ^1.5.2
+  robtillaart/I2C_EEPROM @ ^1.8.2
+  esphome/ESPAsyncWebServer-esphome @ ^3.2.2
   sandeepmistry/LoRa @ ^0.8.0
-  bblanchon/ArduinoJson @ ^6.19.4
+  bblanchon/ArduinoJson @ ^7.0.4