Subindo arquivos3

app.py

@@ -7,21 +7,23 @@ import pandas as pd
 import collections
 import json
 import glob
+from io import BytesIO
 
 # Padrões de IA
 ai_patterns = [
-    "PIC*", "PersonalImageClassifier*", "Look*", "LookExtension*", "ChatBot", "ImageBot", "TMIC", "Gemini*", "Llama*", "TeachableMachine*",
-    "TeachableMachineImageClassifier*", "SpeechRecognizer*", "FaceExtension*", "Pose*", "Posenet", "PosenetExtension", "Eliza*", "Alexa*"
+    "PIC*", "PersonalImageClassifier*", "Look*", "LookExtension*", "ChatBot", "ImageBot", "TMIC","Gemini*", "Llama*","TeachableMachine*",
+    "TeachableMachineImageClassifier*", "SpeechRecognizer*", "FaceExtension*","Pose*","Posenet","PosenetExtension", "Eliza*", "Alexa*"
 ]
 
 # Padrões para cada categoria
 drawing_and_animation_patterns = ["Ball", "Canvas", "ImageSprite"]
-maps_patterns = ["Map", "Marker", "Circle", "FeatureCollection", "LineString", "Navigation", "Polygon", "Retangle"]
-sensors_patterns = ["AccelerometerSensor", "BarcodeScanner", "Barometer", "Clock", "GyroscopeSensor", "Hygrometer", "LightSensor", "LocationSensor", "MagneticFieldSensor", "NearField", "OrientationSensor", "ProximitySensor", "Thermometer", "Pedometer"]
+maps_patterns = ["Map", "Marker", "Circle", "FeatureCollection", "LineString", "Navigation","Polygon", "Retangle" ]
+sensors_patterns = ["AccelerometerSensor", "BarcodeScanner", "Barometer", "Clock", "GyroscopeSensor", "Hygrometer", "LightSensor", "LocationSensor", "MagneticFieldSensor", "NearField","OrientationSensor", "ProximitySensor","Thermometer", "Pedometer"]
 social_patterns = ["ContactPicker", "EmailPicker", "PhoneCall", "PhoneNumberPicker", "Texting", "Twitter"]
 storage_patterns = ["File", "CloudDB", "DataFile", "Spreadsheet", "FusiontablesControl", "TinyDB", "TinyWebDB"]
 connectivity_patterns = ["BluetoothClient", "ActivityStarter", "Serial", "BluetoothServer", "Web"]
 
+
 def extract_components_using_regex(scm_content):
     pattern = r'"\$Type":"(.*?)"'
     components = re.findall(pattern, scm_content)
@@ -29,6 +31,7 @@ def extract_components_using_regex(scm_content):
         components.append("Using Roboflow")
     return components
 
+
 def extract_category_components(components, patterns):
     category_components = []
     for component in components:
@@ -37,6 +40,7 @@ def extract_category_components(components, patterns):
                 category_components.append(component)
     return category_components
 
+
 def extract_extensions_from_aia(file_path: str):
     extensions = []
     with ZipFile(file_path, 'r') as zip_ref:
@@ -110,9 +114,12 @@ def extract_project_info_from_properties(file_path):
 
         # Complementary method for extracting the app name from .scm files
         if app_name == "N/A":
-            print("O campo App Name não foi encontrado em project.properties. Tentando encontrar em arquivos .scm...")
-            app_name = extract_app_name_from_scm_files(temp_dir)
-            print(f"Nome do App encontrado nos arquivos .scm: {app_name}")
+         print("O campo App Name não foi encontrado em project.properties. Tentando encontrar em arquivos .scm...")
+        app_name = extract_app_name_from_scm_files(temp_dir)
+        print(f"Nome do App encontrado nos arquivos .scm: {app_name}")
+
+    # ...
+
 
     return {
         'timestamp': timestamp,
@@ -121,6 +128,10 @@ def extract_project_info_from_properties(file_path):
         'authURL': authURL
     }
 
+
+
+
+
 def extract_ai_components(components):
     ai_components = []
     for component in components:
@@ -142,29 +153,35 @@ def extract_media_files(file_path: str):
     return media_files
 
 def list_components_in_aia_file(file_path):
+    # 
     results_df = pd.DataFrame(columns=[
         'aia_file', 'project_info', 'components', 'IA components', 'screens', 'operators',
         'variables', 'events', 'extensions', 'Media',
         'Drawing and Animation', 'Maps', 'Sensors', 'Social', 'Storage', 'Connectivity'])
 
+
     pd.set_option('display.max_colwidth', None)
     file_name = os.path.basename(file_path)
+    # 
 
     components_list = []
     number_of_screens = 0
     operators_count = 0
     variables_count = 0
-    events_count = 0
+    events_count = 0 # 
+    # 
     media_files = extract_media_files(file_path)
     media_summary = ', '.join(media_files)
+    # 
     project_info = extract_project_info_from_properties(file_path)
     project_info_str = f"Timestamp: {project_info['timestamp']}, App Name: {project_info['app_name']}, Version: {project_info['app_version']}, AuthURL: {project_info['authURL']}"
 
+
     with tempfile.TemporaryDirectory() as temp_dir:
         with ZipFile(file_path, 'r') as zip_ref:
             zip_ref.extractall(temp_dir)
         scm_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.scm')
-        bky_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.bky')
+        bky_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.bky') # Esta linha define bky_files
 
         number_of_screens = len(scm_files)
         for scm_file in scm_files:
@@ -175,6 +192,7 @@ def list_components_in_aia_file(file_path):
                 operators_count += len(re.findall(r'[+\-*/<>!=&|]', content))
                 variables_count += len(re.findall(r'"\$Name":"(.*?)"', content))
 
+        # 
         drawing_and_animation_summary = ', '.join(extract_category_components(components_list, drawing_and_animation_patterns))
         maps_summary = ', '.join(extract_category_components(components_list, maps_patterns))
         sensors_summary = ', '.join(extract_category_components(components_list, sensors_patterns))
@@ -182,59 +200,71 @@ def list_components_in_aia_file(file_path):
         storage_summary = ', '.join(extract_category_components(components_list, storage_patterns))
         connectivity_summary = ', '.join(extract_category_components(components_list, connectivity_patterns))
 
+
+        # 
+        # 
+        extensions_list = []
         extensions_list = extract_extensions_from_aia(file_path)
 
         for bky_file in bky_files:
             with open(bky_file, 'r', encoding='utf-8', errors='ignore') as file:
                 bky_content = file.read()
                 events_count += count_events_in_bky_file(bky_content)
+                #
 
+
+        # 
         extensions_summary = ', '.join(list(set(extensions_list)))
 
     components_count = collections.Counter(components_list)
     components_summary = [f'{comp} ({count} x)' if count > 1 else comp for comp, count in components_count.items()]
     ai_components_summary = extract_ai_components(components_list)
     new_row = pd.DataFrame([{
-        'aia_file': file_name,
-        'project_info': project_info_str,
-        'components': ', '.join(components_summary),
-        'IA components': ', '.join(ai_components_summary),
-        'screens': number_of_screens,
-        'operators': operators_count,
-        'variables': variables_count,
-        'events': events_count,
-        'extensions': extensions_summary,
-        'Media': media_summary,
-        'Drawing and Animation': drawing_and_animation_summary,
-        'Maps': maps_summary,
-        'Sensors': sensors_summary,
-        'Social': social_summary,
-        'Storage': storage_summary,
-        'Connectivity': connectivity_summary
+    'aia_file': file_name,
+    'project_info': project_info_str,
+    'components': ', '.join(components_summary),
+    'IA components': ', '.join(ai_components_summary),
+    'screens': number_of_screens,
+    'operators': operators_count,
+    'variables': variables_count,
+    'events': events_count,
+    'extensions': extensions_summary,
+    'Media': media_summary,
+    'Drawing and Animation': drawing_and_animation_summary,
+    'Maps': maps_summary,
+    'Sensors': sensors_summary,
+    'Social': social_summary,
+    'Storage': storage_summary,
+    'Connectivity': connectivity_summary
     }])
 
+    # 
     results_df = pd.concat([results_df, new_row], ignore_index=True)
     return results_df
+#
 
+# 
+# 
 output_style = """
 <style>
     .output-container {
-        max-height: 500px;
-        overflow: auto;
-        display: block;
+        max-height: 500px; /* a */
+        overflow: auto; /* a */
+        display: block; /* a */
     }
     .output-container table {
-        width: 100%;
+        width: 100%; /* a */
         border-collapse: collapse;
     }
     .output-container th, .output-container td {
-        border: 1px solid #ddd;
+        border: 1px solid #ddd; /* a */
         text-align: left;
         padding: 8px;
     }
 </style>
 """
 
+# 
 def analyze_aia(uploaded_files):
     all_results = []
     for uploaded_file in uploaded_files:
@@ -253,19 +283,22 @@ def analyze_aia(uploaded_files):
         except Exception as e:
             all_results.append(f"Erro ao processar o arquivo {file_path}: {str(e)}")
 
+# 
     combined_results_df = pd.concat(all_results, ignore_index=True)
     html_result = combined_results_df.to_html(escape=False, classes="output-html")
     return output_style + f'<div class="output-container">{html_result}</div>'
 
 iface = gr.Interface(
     fn=analyze_aia,
-    inputs=gr.Files(label="Upload .aia Files"),
+    inputs=gr.Files(label="Upload .aia Files"),  # 
     outputs=gr.HTML(),
-    examples=[["example1.aia"]],  # Certifique-se de que o caminho está correto e no formato esperado
     title="AIA-Scope",
-    description="Upload .aia (or multiples .aia) files to analyze/dissect their components. An .aia file from MIT App Inventor is a project file format that contains all the necessary information for an App Inventor project. ",
+    description="Upload .aia (or multiples .aia) files to analyze/dissect their components. An .aia file from MIT App Inventor is a project file format that contains all the necessary information for an App Inventor project.",
     live=False
 )
 
 if __name__ == "__main__":
     iface.launch(debug=True)
+
+
+