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e268a60
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Parent(s):
2894dda
Atualização
Browse files
README.md
CHANGED
@@ -12,4 +12,8 @@ license: ecl-2.0
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Desenvolvido por Ramon Mayor Martins
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Desenvolvido por Ramon Mayor Martins (2023)
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mail rmayormartins@gmail.com
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hp https://rmayormartins.github.io/
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twitter @rmayormartins
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github https://github.com/rmayormartins
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app.py
CHANGED
@@ -9,13 +9,13 @@ import json
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import glob
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from io import BytesIO
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-
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ai_patterns = [
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"PIC*", "PersonalImageClassifier*", "Look*", "LookExtension*", "ChatBot", "ImageBot", "TMIC","TeachableMachine*",
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"TeachableMachineImageClassifier*", "SpeechRecognizer*", "FaceExtension*","Pose*","Posenet","PosenetExtension", "Eliza*", "Alexa*"
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]
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-
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drawing_and_animation_patterns = ["Ball", "Canvas", "ImageSprite"]
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maps_patterns = ["Map", "Marker", "Circle", "FeatureCollection", "LineString", "Navigation","Polygon", "Retangle" ]
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sensors_patterns = ["AccelerometerSensor", "BarcodeScanner", "Barometer", "Clock", "GyroscopeSensor", "Hygrometer", "LightSensor", "LocationSensor", "MagneticFieldSensor", "NearField","OrientationSensor", "ProximitySensor","Thermometer", "Pedometer"]
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@@ -56,7 +56,7 @@ def extract_extensions_from_aia(file_path: str):
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return extensions
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def count_events_in_bky_file(bky_content):
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return bky_content.count('<block type="component_event"')
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def extract_app_name_from_scm_files(temp_dir):
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@@ -65,10 +65,10 @@ def extract_app_name_from_scm_files(temp_dir):
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with open(scm_file, 'r', encoding='utf-8', errors='ignore') as file:
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content = file.read()
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regex_patterns = [
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r'"AppName"\s*:\s*"([^"]+)"',
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r'"AppName"\s*:\s*\'([^\']+)\''
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]
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for pattern in regex_patterns:
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@@ -76,33 +76,33 @@ def extract_app_name_from_scm_files(temp_dir):
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if app_name_match:
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return app_name_match.group(1)
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print(f"Aviso: Nome do aplicativo não encontrado no diretório {temp_dir}")
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return "N/A"
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def extract_project_info_from_properties(file_path):
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timestamp = "N/A"
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app_name = "N/A"
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app_version = "N/A"
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authURL = "ai2.appinventor.mit.edu"
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with tempfile.TemporaryDirectory() as temp_dir:
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with ZipFile(file_path, 'r') as zip_ref:
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zip_ref.extractall(temp_dir)
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project_properties_file_path = 'youngandroidproject/project.properties'
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if project_properties_file_path in zip_ref.namelist():
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with zip_ref.open(project_properties_file_path) as file:
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project_properties_lines = file.read().decode('utf-8').splitlines()
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timestamp = project_properties_lines[1] if len(project_properties_lines) > 1 else "N/A"
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for line in project_properties_lines:
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app_name_match = re.match(r'aname=(.*)', line)
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if app_name_match:
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@@ -112,7 +112,7 @@ def extract_project_info_from_properties(file_path):
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if app_version_match:
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app_version = app_version_match.group(1)
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-
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if app_name == "N/A":
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print("O campo App Name não foi encontrado em project.properties. Tentando encontrar em arquivos .scm...")
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app_name = extract_app_name_from_scm_files(temp_dir)
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@@ -153,7 +153,7 @@ def extract_media_files(file_path: str):
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return media_files
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def list_components_in_aia_file(file_path):
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results_df = pd.DataFrame(columns=[
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'aia_file', 'project_info', 'components', 'IA components', 'screens', 'operators',
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'variables', 'events', 'extensions', 'Media',
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@@ -162,17 +162,17 @@ def list_components_in_aia_file(file_path):
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pd.set_option('display.max_colwidth', None)
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file_name = os.path.basename(file_path)
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components_list = []
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number_of_screens = 0
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operators_count = 0
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variables_count = 0
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events_count = 0
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media_files = extract_media_files(file_path)
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media_summary = ', '.join(media_files)
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project_info = extract_project_info_from_properties(file_path)
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project_info_str = f"Timestamp: {project_info['timestamp']}, App Name: {project_info['app_name']}, Version: {project_info['app_version']}, AuthURL: {project_info['authURL']}"
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@@ -181,7 +181,7 @@ def list_components_in_aia_file(file_path):
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with ZipFile(file_path, 'r') as zip_ref:
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zip_ref.extractall(temp_dir)
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scm_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.scm')
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bky_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.bky')
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number_of_screens = len(scm_files)
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for scm_file in scm_files:
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@@ -192,7 +192,7 @@ def list_components_in_aia_file(file_path):
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operators_count += len(re.findall(r'[+\-*/<>!=&|]', content))
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variables_count += len(re.findall(r'"\$Name":"(.*?)"', content))
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-
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drawing_and_animation_summary = ', '.join(extract_category_components(components_list, drawing_and_animation_patterns))
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maps_summary = ', '.join(extract_category_components(components_list, maps_patterns))
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sensors_summary = ', '.join(extract_category_components(components_list, sensors_patterns))
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@@ -201,8 +201,8 @@ def list_components_in_aia_file(file_path):
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connectivity_summary = ', '.join(extract_category_components(components_list, connectivity_patterns))
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-
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-
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extensions_list = []
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extensions_list = extract_extensions_from_aia(file_path)
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@@ -210,10 +210,10 @@ def list_components_in_aia_file(file_path):
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with open(bky_file, 'r', encoding='utf-8', errors='ignore') as file:
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bky_content = file.read()
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events_count += count_events_in_bky_file(bky_content)
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-
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extensions_summary = ', '.join(list(set(extensions_list)))
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components_count = collections.Counter(components_list)
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'Connectivity': connectivity_summary
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}])
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results_df = pd.concat([results_df, new_row], ignore_index=True)
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return results_df
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#
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-
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# Adicione a variável de estilo CSS ao início do seu código, fora da função analyze_aia
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output_style = """
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<style>
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.output-container {
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</style>
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"""
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-
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def analyze_aia(uploaded_file):
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try:
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file_path = uploaded_file.name if hasattr(uploaded_file, 'name') else None
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if file_path and os.path.exists(file_path):
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with tempfile.TemporaryDirectory() as temp_dir:
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zip_ref.extractall(temp_dir)
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results_df = list_components_in_aia_file(file_path)
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html_result = results_df.to_html(escape=False, classes="output-html")
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return output_style + f'<div class="output-container">{html_result}</div>'
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@@ -295,7 +294,7 @@ iface = gr.Interface(
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outputs=gr.HTML(),
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title="AIA-Scope",
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description="Upload an .aia file to analyze its components.",
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live=False
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)
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if __name__ == "__main__":
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import glob
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from io import BytesIO
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ai_patterns = [
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"PIC*", "PersonalImageClassifier*", "Look*", "LookExtension*", "ChatBot", "ImageBot", "TMIC","TeachableMachine*",
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"TeachableMachineImageClassifier*", "SpeechRecognizer*", "FaceExtension*","Pose*","Posenet","PosenetExtension", "Eliza*", "Alexa*"
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]
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drawing_and_animation_patterns = ["Ball", "Canvas", "ImageSprite"]
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maps_patterns = ["Map", "Marker", "Circle", "FeatureCollection", "LineString", "Navigation","Polygon", "Retangle" ]
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sensors_patterns = ["AccelerometerSensor", "BarcodeScanner", "Barometer", "Clock", "GyroscopeSensor", "Hygrometer", "LightSensor", "LocationSensor", "MagneticFieldSensor", "NearField","OrientationSensor", "ProximitySensor","Thermometer", "Pedometer"]
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return extensions
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def count_events_in_bky_file(bky_content):
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return bky_content.count('<block type="component_event"')
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def extract_app_name_from_scm_files(temp_dir):
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with open(scm_file, 'r', encoding='utf-8', errors='ignore') as file:
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content = file.read()
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regex_patterns = [
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r'"AppName"\s*:\s*"([^"]+)"',
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r'"AppName"\s*:\s*\'([^\']+)\''
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]
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for pattern in regex_patterns:
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if app_name_match:
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return app_name_match.group(1)
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print(f"Aviso: Nome do aplicativo não encontrado no diretório {temp_dir}")
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return "N/A"
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def extract_project_info_from_properties(file_path):
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timestamp = "N/A"
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app_name = "N/A"
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app_version = "N/A"
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authURL = "ai2.appinventor.mit.edu"
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with tempfile.TemporaryDirectory() as temp_dir:
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with ZipFile(file_path, 'r') as zip_ref:
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zip_ref.extractall(temp_dir)
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project_properties_file_path = 'youngandroidproject/project.properties'
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if project_properties_file_path in zip_ref.namelist():
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with zip_ref.open(project_properties_file_path) as file:
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project_properties_lines = file.read().decode('utf-8').splitlines()
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timestamp = project_properties_lines[1] if len(project_properties_lines) > 1 else "N/A"
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+
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for line in project_properties_lines:
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app_name_match = re.match(r'aname=(.*)', line)
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if app_name_match:
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if app_version_match:
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app_version = app_version_match.group(1)
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if app_name == "N/A":
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print("O campo App Name não foi encontrado em project.properties. Tentando encontrar em arquivos .scm...")
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app_name = extract_app_name_from_scm_files(temp_dir)
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return media_files
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def list_components_in_aia_file(file_path):
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results_df = pd.DataFrame(columns=[
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'aia_file', 'project_info', 'components', 'IA components', 'screens', 'operators',
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'variables', 'events', 'extensions', 'Media',
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pd.set_option('display.max_colwidth', None)
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file_name = os.path.basename(file_path)
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+
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components_list = []
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number_of_screens = 0
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operators_count = 0
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variables_count = 0
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events_count = 0
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media_files = extract_media_files(file_path)
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media_summary = ', '.join(media_files)
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project_info = extract_project_info_from_properties(file_path)
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project_info_str = f"Timestamp: {project_info['timestamp']}, App Name: {project_info['app_name']}, Version: {project_info['app_version']}, AuthURL: {project_info['authURL']}"
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with ZipFile(file_path, 'r') as zip_ref:
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zip_ref.extractall(temp_dir)
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scm_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.scm')
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bky_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.bky')
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number_of_screens = len(scm_files)
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for scm_file in scm_files:
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operators_count += len(re.findall(r'[+\-*/<>!=&|]', content))
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variables_count += len(re.findall(r'"\$Name":"(.*?)"', content))
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+
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drawing_and_animation_summary = ', '.join(extract_category_components(components_list, drawing_and_animation_patterns))
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maps_summary = ', '.join(extract_category_components(components_list, maps_patterns))
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sensors_summary = ', '.join(extract_category_components(components_list, sensors_patterns))
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connectivity_summary = ', '.join(extract_category_components(components_list, connectivity_patterns))
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extensions_list = []
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extensions_list = extract_extensions_from_aia(file_path)
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with open(bky_file, 'r', encoding='utf-8', errors='ignore') as file:
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bky_content = file.read()
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events_count += count_events_in_bky_file(bky_content)
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+
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extensions_summary = ', '.join(list(set(extensions_list)))
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components_count = collections.Counter(components_list)
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'Connectivity': connectivity_summary
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}])
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+
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results_df = pd.concat([results_df, new_row], ignore_index=True)
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return results_df
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#
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+
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output_style = """
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<style>
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.output-container {
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</style>
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"""
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+
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def analyze_aia(uploaded_file):
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try:
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file_path = uploaded_file.name if hasattr(uploaded_file, 'name') else None
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if file_path and os.path.exists(file_path):
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with tempfile.TemporaryDirectory() as temp_dir:
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zip_ref.extractall(temp_dir)
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results_df = list_components_in_aia_file(file_path)
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html_result = results_df.to_html(escape=False, classes="output-html")
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return output_style + f'<div class="output-container">{html_result}</div>'
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outputs=gr.HTML(),
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title="AIA-Scope",
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description="Upload an .aia file to analyze its components.",
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live=False
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)
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if __name__ == "__main__":
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