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175
api/extract_csharp_to_yaml.py
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@ -1,175 +0,0 @@
"""
This script extracts information from C# files and converts it to YAML format.
It processes C# files in a given source directory, extracts various components
such as namespaces, classes, properties, methods, and interfaces, and then
writes the extracted information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_csharp_file(file_path: str) -> Dict[str, Any]:
"""
Parse a C# file and extract its components.
Args:
file_path (str): Path to the C# file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the C# file (without extension)
- namespace: Namespace of the class
- class_comment: Comment for the class (if any)
- using_statements: List of using statements
- properties: List of class properties
- methods: List of class methods
- interfaces: List of interfaces implemented
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
namespace = extract_namespace(content)
class_comment = extract_class_comment(content)
using_statements = extract_using_statements(content)
properties = extract_properties(content)
methods = extract_methods(content)
interfaces = extract_interfaces(content)
return {
"name": name,
"namespace": namespace,
"class_comment": class_comment,
"using_statements": using_statements,
"properties": properties,
"methods": methods,
"interfaces": interfaces
}
def extract_namespace(content: str) -> str:
"""
Extract the namespace from C# content.
"""
namespace_pattern = r'namespace\s+([\w.]+)'
match = re.search(namespace_pattern, content)
return match.group(1) if match else ""
def extract_class_comment(content: str) -> str:
"""
Extract the class-level comment from C# content.
"""
class_comment_pattern = r'/\*\*(.*?)\*/\s*(?:public|internal)?\s*class'
match = re.search(class_comment_pattern, content, re.DOTALL)
return match.group(1).strip() if match else ""
def extract_using_statements(content: str) -> List[str]:
"""
Extract using statements from C# content.
"""
return re.findall(r'using\s+([\w.]+);', content)
def extract_properties(content: str) -> List[Dict[str, Any]]:
"""
Extract class properties and their comments from C# content.
"""
property_pattern = r'(?:/\*\*(.*?)\*/\s*)?(public|private|protected|internal)\s+(?:virtual\s+)?(\w+)\s+(\w+)\s*{\s*get;\s*set;\s*}'
properties = re.findall(property_pattern, content, re.DOTALL)
return [
{
"name": prop[3],
"type": prop[2],
"visibility": prop[1],
"comment": prop[0].strip() if prop[0] else None
} for prop in properties
]
def extract_methods(content: str) -> List[Dict[str, Any]]:
"""
Extract class methods and their comments from C# content.
"""
method_pattern = r'(?:/\*\*(.*?)\*/\s*)?(public|private|protected|internal)\s+(?:virtual\s+)?(\w+)\s+(\w+)\s*\((.*?)\)'
methods = re.findall(method_pattern, content, re.DOTALL)
parsed_methods = []
for method in methods:
parsed_methods.append({
"name": method[3],
"return_type": method[2],
"visibility": method[1],
"parameters": parse_parameters(method[4]),
"comment": method[0].strip() if method[0] else None
})
return parsed_methods
def parse_parameters(params_str: str) -> List[Dict[str, str]]:
"""
Parse method parameters from a parameter string.
"""
params = params_str.split(',')
parsed_params = []
for param in params:
param = param.strip()
if param:
parts = param.split()
parsed_params.append({"type": parts[0], "name": parts[1]})
return parsed_params
def extract_interfaces(content: str) -> List[str]:
"""
Extract interfaces implemented by the class in the C# content.
"""
interface_pattern = r'class\s+\w+\s*:\s*([\w,\s]+)'
match = re.search(interface_pattern, content)
if match:
return [interface.strip() for interface in match.group(1).split(',')]
return []
def convert_to_yaml(csharp_data: Dict[str, Any]) -> str:
"""
Convert extracted C# data to YAML format.
"""
def format_comment(comment: str) -> str:
return '\n'.join('# ' + line.strip() for line in comment.split('\n'))
formatted_data = {}
for key, value in csharp_data.items():
if key == 'class_comment':
formatted_data['class_comment'] = format_comment(value) if value else None
elif key == 'properties':
formatted_data['properties'] = [
{**prop, 'comment': format_comment(prop['comment']) if prop['comment'] else None}
for prop in value
]
elif key == 'methods':
formatted_data['methods'] = [
{**method, 'comment': format_comment(method['comment']) if method.get('comment') else None}
for method in value
]
else:
formatted_data[key] = value
return yaml.dump(formatted_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all C# files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.cs'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
csharp_data = parse_csharp_file(source_path)
yaml_content = convert_to_yaml(csharp_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/csharp/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

127
api/extract_erlang_to_yaml.py
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@ -1,127 +0,0 @@
"""
This script extracts information from Erlang files and converts it to YAML format.
It processes Erlang files in a given source directory, extracts various components
such as module name, exports, imports, records, and functions, and then writes the
extracted information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_erlang_file(file_path: str) -> Dict[str, Any]:
"""
Parse an Erlang file and extract its components.
Args:
file_path (str): Path to the Erlang file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the Erlang file (without extension)
- module: Module name
- exports: List of exported functions
- imports: List of imported functions
- records: List of record definitions
- functions: List of function definitions
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
module = extract_module(content)
exports = extract_exports(content)
imports = extract_imports(content)
records = extract_records(content)
functions = extract_functions(content)
return {
"name": name,
"module": module,
"exports": exports,
"imports": imports,
"records": records,
"functions": functions
}
def extract_module(content: str) -> str:
"""Extract the module name from Erlang content."""
module_pattern = r'-module\(([^)]+)\)'
match = re.search(module_pattern, content)
return match.group(1) if match else ""
def extract_exports(content: str) -> List[Dict[str, Any]]:
"""Extract exported functions from Erlang content."""
export_pattern = r'-export\(\[(.*?)\]\)'
exports = []
for match in re.finditer(export_pattern, content):
exports.extend(parse_function_exports(match.group(1)))
return exports
def parse_function_exports(export_str: str) -> List[Dict[str, Any]]:
"""Parse exported function definitions."""
function_pattern = r'(\w+)/(\d+)'
return [{"name": match[0], "arity": int(match[1])} for match in re.findall(function_pattern, export_str)]
def extract_imports(content: str) -> List[Dict[str, Any]]:
"""Extract imported functions from Erlang content."""
import_pattern = r'-import\(([^,]+),\s*\[(.*?)\]\)'
imports = []
for match in re.finditer(import_pattern, content):
module = match.group(1)
functions = parse_function_exports(match.group(2))
imports.append({"module": module, "functions": functions})
return imports
def extract_records(content: str) -> List[Dict[str, Any]]:
"""Extract record definitions from Erlang content."""
record_pattern = r'-record\((\w+),\s*\{(.*?)\}\)'
records = []
for match in re.finditer(record_pattern, content):
name = match.group(1)
fields = [field.strip() for field in match.group(2).split(',')]
records.append({"name": name, "fields": fields})
return records
def extract_functions(content: str) -> List[Dict[str, Any]]:
"""Extract function definitions from Erlang content."""
function_pattern = r'(\w+)\((.*?)\)\s*->(.*?)(?=\w+\(|\Z)'
functions = []
for match in re.finditer(function_pattern, content, re.DOTALL):
name = match.group(1)
params = [param.strip() for param in match.group(2).split(',')]
body = match.group(3).strip()
functions.append({
"name": name,
"parameters": params,
"body": body
})
return functions
def convert_to_yaml(erlang_data: Dict[str, Any]) -> str:
"""Convert extracted Erlang data to YAML format."""
return yaml.dump(erlang_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all Erlang files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.erl'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
erlang_data = parse_erlang_file(source_path)
yaml_content = convert_to_yaml(erlang_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/erlang/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

198
api/extract_go_to_yaml.py
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"""
This script extracts information from Go files and converts it to YAML format.
It processes Go files in a given source directory, extracts various components
such as imports, structs, interfaces, and functions, and then writes the
extracted information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_go_file(file_path: str) -> Dict[str, Any]:
"""
Parse a Go file and extract its components.
Args:
file_path (str): Path to the Go file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the Go file (without extension)
- package: Package name
- imports: List of import statements
- structs: List of struct definitions
- interfaces: List of interface definitions
- functions: List of function definitions
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
package = extract_package(content)
imports = extract_imports(content)
structs = extract_structs(content)
interfaces = extract_interfaces(content)
functions = extract_functions(content)
return {
"name": name,
"package": package,
"imports": imports,
"structs": structs,
"interfaces": interfaces,
"functions": functions
}
def extract_package(content: str) -> str:
"""
Extract the package name from Go content.
"""
package_pattern = r'package\s+(\w+)'
match = re.search(package_pattern, content)
return match.group(1) if match else ""
def extract_imports(content: str) -> List[str]:
"""
Extract import statements from Go content.
"""
import_pattern = r'import\s*\((.*?)\)'
match = re.search(import_pattern, content, re.DOTALL)
if match:
imports = re.findall(r'"(.+?)"', match.group(1))
return imports
return []
def extract_structs(content: str) -> List[Dict[str, Any]]:
"""
Extract struct definitions from Go content.
"""
struct_pattern = r'//\s*(.+?)?\n\s*type\s+(\w+)\s+struct\s*{([^}]+)}'
structs = re.findall(struct_pattern, content, re.DOTALL)
return [
{
"name": struct[1],
"comment": struct[0].strip() if struct[0] else None,
"fields": extract_struct_fields(struct[2])
} for struct in structs
]
def extract_struct_fields(fields_str: str) -> List[Dict[str, str]]:
"""
Extract fields from a struct definition.
"""
field_pattern = r'(\w+)\s+(.+?)(?:`[^`]*`)?$'
return [
{"name": field[0], "type": field[1].strip()}
for field in re.findall(field_pattern, fields_str, re.MULTILINE)
]
def extract_interfaces(content: str) -> List[Dict[str, Any]]:
"""
Extract interface definitions from Go content.
"""
interface_pattern = r'//\s*(.+?)?\n\s*type\s+(\w+)\s+interface\s*{([^}]+)}'
interfaces = re.findall(interface_pattern, content, re.DOTALL)
return [
{
"name": interface[1],
"comment": interface[0].strip() if interface[0] else None,
"methods": extract_interface_methods(interface[2])
} for interface in interfaces
]
def extract_interface_methods(interface_content: str) -> List[Dict[str, Any]]:
"""
Extract method signatures from an interface definition.
"""
method_pattern = r'(\w+)\((.*?)\)\s*(.*?)(?:\s*//.*)?$'
methods = re.findall(method_pattern, interface_content, re.MULTILINE)
return [
{
"name": method[0],
"parameters": parse_parameters(method[1]),
"return_type": method[2].strip() if method[2] else None
} for method in methods
]
def extract_functions(content: str) -> List[Dict[str, Any]]:
"""
Extract function definitions from Go content.
"""
function_pattern = r'//\s*(.+?)?\n\s*func\s+(\w+)\s*\((.*?)\)\s*(.*?)\s*{'
functions = re.findall(function_pattern, content, re.DOTALL)
return [
{
"name": function[1],
"comment": function[0].strip() if function[0] else None,
"receiver": extract_receiver(function[2]),
"parameters": parse_parameters(function[2]),
"return_type": function[3].strip() if function[3] else None
} for function in functions
]
def extract_receiver(params_str: str) -> Dict[str, str]:
"""
Extract the receiver from a method signature.
"""
receiver_pattern = r'(\w+)\s+\*?(\w+)'
match = re.match(receiver_pattern, params_str)
if match:
return {"name": match.group(1), "type": match.group(2)}
return {}
def parse_parameters(params_str: str) -> List[Dict[str, str]]:
"""
Parse function parameters from a parameter string.
"""
params = params_str.split(',')
parsed_params = []
for param in params:
param = param.strip()
if param and not re.match(r'^\w+\s+\*?\w+$', param): # Skip receiver
parts = param.split()
parsed_params.append({"name": parts[0], "type": ' '.join(parts[1:])})
return parsed_params
def convert_to_yaml(go_data: Dict[str, Any]) -> str:
"""
Convert extracted Go data to YAML format.
"""
def format_comment(comment: str) -> str:
return '\n'.join('# ' + line.strip() for line in comment.split('\n'))
formatted_data = {}
for key, value in go_data.items():
if key in ['structs', 'interfaces', 'functions']:
formatted_data[key] = [
{**item, 'comment': format_comment(item['comment']) if item.get('comment') else None}
for item in value
]
else:
formatted_data[key] = value
return yaml.dump(formatted_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all Go files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.go'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
go_data = parse_go_file(source_path)
yaml_content = convert_to_yaml(go_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/go/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

171
api/extract_java_to_yaml.py
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@ -1,171 +0,0 @@
"""
This script extracts information from Java files and converts it to YAML format.
It processes Java files in a given source directory, extracts various components
such as package, imports, class info, fields, methods, and interfaces, and then
writes the extracted information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_java_file(file_path: str) -> Dict[str, Any]:
"""
Parse a Java file and extract its components.
Args:
file_path (str): Path to the Java file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the Java file (without extension)
- package: Package declaration
- imports: List of import statements
- class_info: Information about the class (name, modifiers, extends, implements)
- class_comment: Comment for the class (if any)
- fields: List of class fields
- methods: List of class methods
- interfaces: List of interfaces implemented
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
package = extract_package(content)
imports = extract_imports(content)
class_info = extract_class_info(content)
class_comment = extract_class_comment(content)
fields = extract_fields(content)
methods = extract_methods(content)
interfaces = extract_interfaces(content)
return {
"name": name,
"package": package,
"imports": imports,
"class_info": class_info,
"class_comment": class_comment,
"fields": fields,
"methods": methods,
"interfaces": interfaces
}
def extract_package(content: str) -> str:
"""Extract the package declaration from Java content."""
package_pattern = r'package\s+([\w.]+);'
match = re.search(package_pattern, content)
return match.group(1) if match else ""
def extract_imports(content: str) -> List[str]:
"""Extract import statements from Java content."""
import_pattern = r'import\s+([\w.]+);'
return re.findall(import_pattern, content)
def extract_class_info(content: str) -> Dict[str, Any]:
"""Extract class information from Java content."""
class_pattern = r'(public\s+)?(abstract\s+)?(final\s+)?class\s+(\w+)(\s+extends\s+\w+)?(\s+implements\s+[\w,\s]+)?'
match = re.search(class_pattern, content)
if match:
return {
"name": match.group(4),
"modifiers": [mod for mod in [match.group(1), match.group(2), match.group(3)] if mod],
"extends": match.group(5).split()[-1] if match.group(5) else None,
"implements": match.group(6).split()[-1].split(',') if match.group(6) else []
}
return {}
def extract_class_comment(content: str) -> str:
"""Extract the class-level comment from Java content."""
class_comment_pattern = r'/\*\*(.*?)\*/\s*(?:public\s+)?(?:abstract\s+)?(?:final\s+)?class'
match = re.search(class_comment_pattern, content, re.DOTALL)
return match.group(1).strip() if match else ""
def extract_fields(content: str) -> List[Dict[str, Any]]:
"""Extract class fields from Java content."""
field_pattern = r'(?:/\*\*(.*?)\*/\s*)?(public|protected|private)\s+(?:static\s+)?(?:final\s+)?(\w+)\s+(\w+)(?:\s*=\s*[^;]+)?;'
fields = re.findall(field_pattern, content, re.DOTALL)
return [
{
"name": field[3],
"type": field[2],
"visibility": field[1],
"comment": field[0].strip() if field[0] else None
} for field in fields
]
def extract_methods(content: str) -> List[Dict[str, Any]]:
"""Extract class methods from Java content."""
method_pattern = r'(?:/\*\*(.*?)\*/\s*)?(public|protected|private)\s+(?:static\s+)?(?:\w+\s+)?(\w+)\s+(\w+)\s*\((.*?)\)'
methods = re.findall(method_pattern, content, re.DOTALL)
parsed_methods = []
for method in methods:
parsed_methods.append({
"name": method[3],
"return_type": method[2],
"visibility": method[1],
"parameters": parse_parameters(method[4]),
"comment": method[0].strip() if method[0] else None
})
return parsed_methods
def parse_parameters(params_str: str) -> List[Dict[str, str]]:
"""Parse method parameters from a parameter string."""
params = params_str.split(',')
parsed_params = []
for param in params:
param = param.strip()
if param:
parts = param.split()
parsed_params.append({"type": parts[0], "name": parts[1]})
return parsed_params
def extract_interfaces(content: str) -> List[str]:
"""Extract interfaces implemented by the class in the Java content."""
interface_pattern = r'implements\s+([\w,\s]+)'
match = re.search(interface_pattern, content)
if match:
return [interface.strip() for interface in match.group(1).split(',')]
return []
def convert_to_yaml(java_data: Dict[str, Any]) -> str:
"""Convert extracted Java data to YAML format."""
def format_comment(comment: str) -> str:
return '\n'.join('# ' + line.strip() for line in comment.split('\n'))
formatted_data = {}
for key, value in java_data.items():
if key == 'class_comment':
formatted_data['class_comment'] = format_comment(value) if value else None
elif key in ['fields', 'methods']:
formatted_data[key] = [
{**item, 'comment': format_comment(item['comment']) if item.get('comment') else None}
for item in value
]
else:
formatted_data[key] = value
return yaml.dump(formatted_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all Java files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.java'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
java_data = parse_java_file(source_path)
yaml_content = convert_to_yaml(java_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/java/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

149
api/extract_javascript_to_yaml.py
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@ -1,149 +0,0 @@
"""
This script extracts information from JavaScript files and converts it to YAML format.
It processes JavaScript files in a given source directory, extracts various components
such as imports, classes, properties, and methods, and then writes the extracted
information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_javascript_file(file_path: str) -> Dict[str, Any]:
"""
Parse a JavaScript file and extract its components.
Args:
file_path (str): Path to the JavaScript file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the JavaScript file (without extension)
- imports: List of import statements
- class_comment: Comment for the class (if any)
- class_name: Name of the class
- properties: List of class properties
- methods: List of class methods
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
imports = extract_imports(content)
class_comment, class_name = extract_class_info(content)
properties = extract_properties(content)
methods = extract_methods(content)
return {
"name": name,
"imports": imports,
"class_comment": class_comment,
"class_name": class_name,
"properties": properties,
"methods": methods
}
def extract_imports(content: str) -> List[str]:
"""
Extract import statements from JavaScript content.
"""
import_pattern = r'import\s+.*?from\s+[\'"].*?[\'"];'
return re.findall(import_pattern, content)
def extract_class_info(content: str) -> tuple:
"""
Extract class comment and name from JavaScript content.
"""
class_pattern = r'(/\*\*(.*?)\*/\s*)?class\s+(\w+)'
match = re.search(class_pattern, content, re.DOTALL)
if match:
comment = match.group(2).strip() if match.group(2) else ""
name = match.group(3)
return comment, name
return "", ""
def extract_properties(content: str) -> List[Dict[str, Any]]:
"""
Extract class properties from JavaScript content.
"""
property_pattern = r'(/\*\*(.*?)\*/\s*)?(static\s+)?(\w+)\s*=\s*'
properties = re.findall(property_pattern, content, re.DOTALL)
return [
{
"name": prop[3],
"static": bool(prop[2]),
"comment": prop[1].strip() if prop[1] else None
} for prop in properties
]
def extract_methods(content: str) -> List[Dict[str, Any]]:
"""
Extract class methods from JavaScript content.
"""
method_pattern = r'(/\*\*(.*?)\*/\s*)?(static\s+)?(\w+)\s*\((.*?)\)\s*{'
methods = re.findall(method_pattern, content, re.DOTALL)
parsed_methods = []
for method in methods:
parsed_methods.append({
"name": method[3],
"static": bool(method[2]),
"parameters": parse_parameters(method[4]),
"comment": method[1].strip() if method[1] else None
})
return parsed_methods
def parse_parameters(params_str: str) -> List[str]:
"""
Parse method parameters from a parameter string.
"""
return [param.strip() for param in params_str.split(',') if param.strip()]
def convert_to_yaml(js_data: Dict[str, Any]) -> str:
"""
Convert extracted JavaScript data to YAML format.
"""
def format_comment(comment: str) -> str:
return '\n'.join('# ' + line.strip() for line in comment.split('\n'))
formatted_data = {}
for key, value in js_data.items():
if key == 'class_comment':
formatted_data['class_comment'] = format_comment(value) if value else None
elif key == 'properties':
formatted_data['properties'] = [
{**prop, 'comment': format_comment(prop['comment']) if prop['comment'] else None}
for prop in value
]
elif key == 'methods':
formatted_data['methods'] = [
{**method, 'comment': format_comment(method['comment']) if method.get('comment') else None}
for method in value
]
else:
formatted_data[key] = value
return yaml.dump(formatted_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all JavaScript files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.js'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
js_data = parse_javascript_file(source_path)
yaml_content = convert_to_yaml(js_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/javascript/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

253
api/extract_php_to_yaml.py
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@ -1,253 +0,0 @@
"""
This script extracts information from PHP files and converts it to YAML format.
It processes PHP files in a given source directory, extracts various components
such as dependencies, properties, methods, traits, and interfaces, and then
writes the extracted information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_php_file(file_path: str) -> Dict[str, Any]:
"""
Parse a PHP file and extract its components.
Args:
file_path (str): Path to the PHP file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the PHP file (without extension)
- class_comment: Comment for the class (if any)
- dependencies: List of dependencies (use statements)
- properties: List of class properties
- methods: List of class methods
- traits: List of traits used
- interfaces: List of interfaces implemented
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
class_comment = extract_class_comment(content)
dependencies = extract_dependencies(content)
properties = extract_properties(content)
methods = extract_methods(content)
traits = extract_traits(content)
interfaces = extract_interfaces(content)
return {
"name": name,
"class_comment": class_comment,
"dependencies": dependencies,
"properties": properties,
"methods": methods,
"traits": traits,
"interfaces": interfaces
}
def extract_class_comment(content: str) -> str:
"""
Extract the class-level comment from PHP content.
Args:
content (str): PHP file content.
Returns:
str: Extracted class comment or empty string if not found.
"""
class_comment_pattern = r'/\*\*(.*?)\*/\s*class'
match = re.search(class_comment_pattern, content, re.DOTALL)
if match:
return match.group(1).strip()
return ""
def extract_dependencies(content: str) -> List[Dict[str, str]]:
"""
Extract dependencies (use statements) from PHP content.
Args:
content (str): PHP file content.
Returns:
List[Dict[str, str]]: List of dictionaries containing dependency information:
- name: Alias or class name
- type: Always "class" for now (might need refinement)
- source: Full namespace of the dependency
"""
# Regex pattern to match use statements, capturing the full namespace and optional alias
use_statements = re.findall(r'use\s+([\w\\]+)(?:\s+as\s+(\w+))?;', content)
dependencies = []
for use in use_statements:
dep = {
"name": use[1] if use[1] else use[0].split('\\')[-1],
"type": "class", # Assuming class for now, might need refinement
"source": use[0]
}
dependencies.append(dep)
return dependencies
def extract_properties(content: str) -> List[Dict[str, Any]]:
"""
Extract class properties and their comments from PHP content.
Args:
content (str): PHP file content.
Returns:
List[Dict[str, Any]]: List of dictionaries containing property information:
- name: Property name (without $)
- visibility: public, protected, or private
- comment: Property comment (if any)
"""
# Regex pattern to match property declarations with optional comments
property_pattern = r'(?:/\*\*(.*?)\*/\s*)?(public|protected|private)\s+(?:static\s+)?(\$\w+)(?:\s*=\s*[^;]+)?;'
properties = re.findall(property_pattern, content, re.DOTALL)
return [
{
"name": prop[2][1:],
"visibility": prop[1],
"comment": prop[0].strip() if prop[0] else None
} for prop in properties
]
def extract_methods(content: str) -> List[Dict[str, Any]]:
"""
Extract class methods and their comments from PHP content.
Args:
content (str): PHP file content.
Returns:
List[Dict[str, Any]]: List of dictionaries containing method information:
- name: Method name
- visibility: public, protected, or private
- parameters: List of parameter dictionaries
- comment: Method comment (if any)
"""
# Regex pattern to match method declarations with optional comments
method_pattern = r'(?:/\*\*(.*?)\*/\s*)?(public|protected|private)\s+(?:static\s+)?function\s+(\w+)\s*\((.*?)\)'
methods = re.findall(method_pattern, content, re.DOTALL)
parsed_methods = []
for method in methods:
parsed_methods.append({
"name": method[2],
"visibility": method[1],
"parameters": parse_parameters(method[3]),
"comment": method[0].strip() if method[0] else None
})
return parsed_methods
def parse_parameters(params_str: str) -> List[Dict[str, str]]:
"""
Parse method parameters from a parameter string.
Args:
params_str (str): String containing method parameters.
Returns:
List[Dict[str, str]]: List of dictionaries containing parameter information:
- name: Parameter name
- default: Default value (if specified)
"""
params = params_str.split(',')
parsed_params = []
for param in params:
param = param.strip()
if param:
parts = param.split('=')
param_dict = {"name": parts[0].split()[-1].strip('$')}
if len(parts) > 1:
param_dict["default"] = parts[1].strip()
parsed_params.append(param_dict)
return parsed_params
def extract_traits(content: str) -> List[str]:
"""
Extract traits used in the PHP content.
Args:
content (str): PHP file content.
Returns:
List[str]: List of trait names used in the class.
"""
return re.findall(r'use\s+([\w\\]+)(?:,\s*[\w\\]+)*;', content)
def extract_interfaces(content: str) -> List[str]:
"""
Extract interfaces implemented by the class in the PHP content.
Args:
content (str): PHP file content.
Returns:
List[str]: List of interface names implemented by the class.
"""
return re.findall(r'implements\s+([\w\\]+)(?:,\s*[\w\\]+)*', content)
def convert_to_yaml(php_data: Dict[str, Any]) -> str:
"""
Convert extracted PHP data to YAML format.
Args:
php_data (Dict[str, Any]): Dictionary containing extracted PHP data.
Returns:
str: YAML representation of the PHP data.
"""
def format_comment(comment: str) -> str:
return '\n'.join('# ' + line.strip() for line in comment.split('\n'))
formatted_data = {}
for key, value in php_data.items():
if key == 'class_comment':
formatted_data['class_comment'] = format_comment(value) if value else None
elif key == 'properties':
formatted_data['properties'] = [
{**prop, 'comment': format_comment(prop['comment']) if prop['comment'] else None}
for prop in value
]
elif key == 'methods':
formatted_data['methods'] = [
{**method, 'comment': format_comment(method['comment']) if method.get('comment') else None}
for method in value
]
else:
formatted_data[key] = value
return yaml.dump(formatted_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all PHP files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
Args:
source_dir (str): Path to the source directory containing PHP files.
dest_dir (str): Path to the destination directory for YAML files.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.php'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
php_data = parse_php_file(source_path)
yaml_content = convert_to_yaml(php_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/home/platform/Devboxes/resources/laravel_framework/src/Illuminate/"
destination_directory = "/home/platform/Devboxes/platform/api/"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

165
api/extract_python_to_yaml.py
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@ -1,165 +0,0 @@
"""
This script extracts information from Python files and converts it to YAML format.
It processes Python files in a given source directory, extracts various components
such as imports, classes, methods, and properties, and then writes the extracted
information to YAML files in a specified destination directory.
"""
import os
import re
import ast
import yaml
from typing import Dict, List, Any
def parse_python_file(file_path: str) -> Dict[str, Any]:
"""
Parse a Python file and extract its components.
Args:
file_path (str): Path to the Python file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the Python file (without extension)
- class_comment: Comment for the class (if any)
- imports: List of import statements
- classes: List of class information
"""
with open(file_path, 'r') as file:
content = file.read()
tree = ast.parse(content)
name = os.path.basename(file_path).split('.')[0]
imports = extract_imports(tree)
classes = extract_classes(tree)
return {
"name": name,
"imports": imports,
"classes": classes
}
def extract_imports(tree: ast.AST) -> List[Dict[str, str]]:
"""
Extract import statements from Python AST.
Args:
tree (ast.AST): Python abstract syntax tree.
Returns:
List[Dict[str, str]]: List of dictionaries containing import information:
- name: Imported name
- source: Module source
"""
imports = []
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
imports.append({"name": alias.name, "source": alias.name})
elif isinstance(node, ast.ImportFrom):
module = node.module
for alias in node.names:
imports.append({"name": alias.name, "source": f"{module}.{alias.name}"})
return imports
def extract_classes(tree: ast.AST) -> List[Dict[str, Any]]:
"""
Extract class information from Python AST.
Args:
tree (ast.AST): Python abstract syntax tree.
Returns:
List[Dict[str, Any]]: List of dictionaries containing class information:
- name: Class name
- comment: Class docstring (if any)
- bases: List of base classes
- methods: List of method information
- properties: List of class properties
"""
classes = []
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
class_info = {
"name": node.name,
"comment": ast.get_docstring(node),
"bases": [base.id for base in node.bases if isinstance(base, ast.Name)],
"methods": extract_methods(node),
"properties": extract_properties(node)
}
classes.append(class_info)
return classes
def extract_methods(class_node: ast.ClassDef) -> List[Dict[str, Any]]:
"""
Extract method information from a class node.
Args:
class_node (ast.ClassDef): Class definition node.
Returns:
List[Dict[str, Any]]: List of dictionaries containing method information:
- name: Method name
- comment: Method docstring (if any)
- parameters: List of parameter names
"""
methods = []
for node in class_node.body:
if isinstance(node, ast.FunctionDef):
method_info = {
"name": node.name,
"comment": ast.get_docstring(node),
"parameters": [arg.arg for arg in node.args.args if arg.arg != 'self']
}
methods.append(method_info)
return methods
def extract_properties(class_node: ast.ClassDef) -> List[Dict[str, str]]:
"""
Extract property information from a class node.
Args:
class_node (ast.ClassDef): Class definition node.
Returns:
List[Dict[str, str]]: List of dictionaries containing property information:
- name: Property name
- type: Property type (if annotated)
"""
properties = []
for node in class_node.body:
if isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name):
prop_info = {
"name": node.target.id,
"type": ast.unparse(node.annotation) if node.annotation else None
}
properties.append(prop_info)
return properties
def convert_to_yaml(python_data: Dict[str, Any]) -> str:
"""
Convert extracted Python data to YAML format.
Args:
python_data (Dict[str, Any]): Dictionary containing extracted Python data.
Returns:
str: YAML representation of the Python data.
"""
return yaml.dump(python_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all Python files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
Args:
source_dir (str): Path to the source directory containing Python files.
dest_dir (str): Path to the destination directory for YAML files.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.py'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
python_data = parse_python_file(source_path)
yaml_content = convert_to_yaml(python_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/python/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

215
api/extract_rust_to_yaml.py
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@ -1,215 +0,0 @@
"""
This script extracts information from Rust files and converts it to YAML format.
It processes Rust files in a given source directory, extracts various components
such as dependencies, structs, impl blocks, traits, and functions, and then
writes the extracted information to YAML files in a specified destination directory.
"""
import os
import re
import yaml
from typing import Dict, List, Any
def parse_rust_file(file_path: str) -> Dict[str, Any]:
"""
Parse a Rust file and extract its components.
Args:
file_path (str): Path to the Rust file.
Returns:
Dict[str, Any]: A dictionary containing extracted information:
- name: Name of the Rust file (without extension)
- module_comment: Comment for the module (if any)
- dependencies: List of dependencies (use statements)
- structs: List of struct definitions
- impls: List of impl blocks
- traits: List of trait definitions
- functions: List of standalone functions
"""
with open(file_path, 'r') as file:
content = file.read()
name = os.path.basename(file_path).split('.')[0]
module_comment = extract_module_comment(content)
dependencies = extract_dependencies(content)
structs = extract_structs(content)
impls = extract_impls(content)
traits = extract_traits(content)
functions = extract_functions(content)
return {
"name": name,
"module_comment": module_comment,
"dependencies": dependencies,
"structs": structs,
"impls": impls,
"traits": traits,
"functions": functions
}
def extract_module_comment(content: str) -> str:
"""
Extract the module-level comment from Rust content.
"""
module_comment_pattern = r'^//!(.+?)(?=\n\S)'
match = re.search(module_comment_pattern, content, re.DOTALL | re.MULTILINE)
return match.group(1).strip() if match else ""
def extract_dependencies(content: str) -> List[str]:
"""
Extract dependencies (use statements) from Rust content.
"""
return re.findall(r'use\s+([\w:]+)(?:::\{.*?\})?;', content)
def extract_structs(content: str) -> List[Dict[str, Any]]:
"""
Extract struct definitions from Rust content.
"""
struct_pattern = r'///(.+?)?\n\s*pub struct (\w+)(?:<.*?>)?\s*\{([^}]+)\}'
structs = re.findall(struct_pattern, content, re.DOTALL)
return [
{
"name": struct[1],
"comment": struct[0].strip() if struct[0] else None,
"fields": extract_struct_fields(struct[2])
} for struct in structs
]
def extract_struct_fields(fields_str: str) -> List[Dict[str, str]]:
"""
Extract fields from a struct definition.
"""
field_pattern = r'pub (\w+):\s*(.+)'
return [
{"name": field[0], "type": field[1].strip()}
for field in re.findall(field_pattern, fields_str)
]
def extract_impls(content: str) -> List[Dict[str, Any]]:
"""
Extract impl blocks from Rust content.
"""
impl_pattern = r'impl(?:<.*?>)?\s+(\w+)\s*(?:for\s+(\w+))?\s*\{([^}]+)\}'
impls = re.findall(impl_pattern, content, re.DOTALL)
return [
{
"struct": impl[0],
"trait": impl[1] if impl[1] else None,
"methods": extract_methods(impl[2])
} for impl in impls
]
def extract_methods(impl_content: str) -> List[Dict[str, Any]]:
"""
Extract methods from an impl block.
"""
method_pattern = r'///(.+?)?\n\s*pub fn (\w+)\s*\(([^)]*)\)(?:\s*->\s*([^{]+))?\s*\{'
methods = re.findall(method_pattern, impl_content, re.DOTALL)
return [
{
"name": method[1],
"comment": method[0].strip() if method[0] else None,
"parameters": parse_parameters(method[2]),
"return_type": method[3].strip() if method[3] else None
} for method in methods
]
def parse_parameters(params_str: str) -> List[Dict[str, str]]:
"""
Parse method parameters from a parameter string.
"""
params = params_str.split(',')
parsed_params = []
for param in params:
param = param.strip()
if param:
parts = param.split(':')
parsed_params.append({"name": parts[0].strip(), "type": parts[1].strip()})
return parsed_params
def extract_traits(content: str) -> List[Dict[str, Any]]:
"""
Extract trait definitions from Rust content.
"""
trait_pattern = r'pub trait (\w+)(?:<.*?>)?\s*\{([^}]+)\}'
traits = re.findall(trait_pattern, content, re.DOTALL)
return [
{
"name": trait[0],
"methods": extract_trait_methods(trait[1])
} for trait in traits
]
def extract_trait_methods(trait_content: str) -> List[Dict[str, str]]:
"""
Extract method signatures from a trait definition.
"""
method_pattern = r'fn (\w+)\s*\(([^)]*)\)(?:\s*->\s*([^;]+))?;'
methods = re.findall(method_pattern, trait_content)
return [
{
"name": method[0],
"parameters": parse_parameters(method[1]),
"return_type": method[2].strip() if method[2] else None
} for method in methods
]
def extract_functions(content: str) -> List[Dict[str, Any]]:
"""
Extract standalone functions from Rust content.
"""
function_pattern = r'///(.+?)?\n\s*pub fn (\w+)\s*\(([^)]*)\)(?:\s*->\s*([^{]+))?\s*\{'
functions = re.findall(function_pattern, content, re.DOTALL)
return [
{
"name": function[1],
"comment": function[0].strip() if function[0] else None,
"parameters": parse_parameters(function[2]),
"return_type": function[3].strip() if function[3] else None
} for function in functions
]
def convert_to_yaml(rust_data: Dict[str, Any]) -> str:
"""
Convert extracted Rust data to YAML format.
"""
def format_comment(comment: str) -> str:
return '\n'.join('# ' + line.strip() for line in comment.split('\n'))
formatted_data = {}
for key, value in rust_data.items():
if key == 'module_comment':
formatted_data['module_comment'] = format_comment(value) if value else None
elif key in ['structs', 'impls', 'traits', 'functions']:
formatted_data[key] = [
{**item, 'comment': format_comment(item['comment']) if item.get('comment') else None}
for item in value
]
else:
formatted_data[key] = value
return yaml.dump(formatted_data, sort_keys=False, default_flow_style=False)
def process_directory(source_dir: str, dest_dir: str):
"""
Process all Rust files in the source directory and its subdirectories,
extract information, and save as YAML files in the destination directory.
"""
for root, dirs, files in os.walk(source_dir):
for file in files:
if file.endswith('.rs'):
source_path = os.path.join(root, file)
relative_path = os.path.relpath(source_path, source_dir)
dest_path = os.path.join(dest_dir, os.path.dirname(relative_path))
os.makedirs(dest_path, exist_ok=True)
rust_data = parse_rust_file(source_path)
yaml_content = convert_to_yaml(rust_data)
yaml_file = os.path.join(dest_path, f"{os.path.splitext(file)[0]}.yaml")
with open(yaml_file, 'w') as f:
f.write(yaml_content)
if __name__ == "__main__":
source_directory = "/path/to/rust/source/directory"
destination_directory = "/path/to/yaml/destination/directory"
process_directory(source_directory, destination_directory)
print("Extraction and conversion completed.")

191
api/extract_typescript_to_yaml.py
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@ -1,191 +0,0 @@
/**
* This script extracts information from TypeScript files and converts it to YAML format.
* It processes TypeScript files in a given source directory, extracts various components
* such as imports, classes, methods, and properties, and then writes the extracted
* information to YAML files in a specified destination directory.
*/
import * as fs from 'fs';
import * as path from 'path';
import * as ts from 'typescript';
import * as yaml from 'js-yaml';
interface FileData {
name: string;
imports: Import[];
classes: ClassInfo[];
}
interface Import {
name: string;
source: string;
}
interface ClassInfo {
name: string;
comment?: string;
extends?: string[];
implements?: string[];
methods: MethodInfo[];
properties: PropertyInfo[];
}
interface MethodInfo {
name: string;
comment?: string;
parameters: ParameterInfo[];
returnType?: string;
}
interface ParameterInfo {
name: string;
type?: string;
}
interface PropertyInfo {
name: string;
type?: string;
visibility: string;
}
function parseTypeScriptFile(filePath: string): FileData {
const content = fs.readFileSync(filePath, 'utf-8');
const sourceFile = ts.createSourceFile(filePath, content, ts.ScriptTarget.Latest, true);
const name = path.basename(filePath).split('.')[0];
const imports = extractImports(sourceFile);
const classes = extractClasses(sourceFile);
return { name, imports, classes };
}
function extractImports(sourceFile: ts.SourceFile): Import[] {
const imports: Import[] = [];
ts.forEachChild(sourceFile, node => {
if (ts.isImportDeclaration(node)) {
const importClause = node.importClause;
const moduleSpecifier = node.moduleSpecifier;
if (importClause && ts.isStringLiteral(moduleSpecifier)) {
const name = importClause.name?.text ?? '*';
const source = moduleSpecifier.text;
imports.push({ name, source });
}
}
});
return imports;
}
function extractClasses(sourceFile: ts.SourceFile): ClassInfo[] {
const classes: ClassInfo[] = [];
ts.forEachChild(sourceFile, node => {
if (ts.isClassDeclaration(node) && node.name) {
const classInfo: ClassInfo = {
name: node.name.text,
comment: getLeadingCommentText(node),
extends: node.heritageClauses?.filter(clause => clause.token === ts.SyntaxKind.ExtendsKeyword)
.flatMap(clause => clause.types.map(t => t.getText())),
implements: node.heritageClauses?.filter(clause => clause.token === ts.SyntaxKind.ImplementsKeyword)
.flatMap(clause => clause.types.map(t => t.getText())),
methods: extractMethods(node),
properties: extractProperties(node)
};
classes.push(classInfo);
}
});
return classes;
}
function extractMethods(classNode: ts.ClassDeclaration): MethodInfo[] {
const methods: MethodInfo[] = [];
classNode.members.forEach(member => {
if (ts.isMethodDeclaration(member) && member.name) {
const methodInfo: MethodInfo = {
name: member.name.getText(),
comment: getLeadingCommentText(member),
parameters: extractParameters(member),
returnType: member.type ? member.type.getText() : undefined
};
methods.push(methodInfo);
}
});
return methods;
}
function extractParameters(method: ts.MethodDeclaration): ParameterInfo[] {
return method.parameters.map(param => ({
name: param.name.getText(),
type: param.type ? param.type.getText() : undefined
}));
}
function extractProperties(classNode: ts.ClassDeclaration): PropertyInfo[] {
const properties: PropertyInfo[] = [];
classNode.members.forEach(member => {
if (ts.isPropertyDeclaration(member) && member.name) {
const propertyInfo: PropertyInfo = {
name: member.name.getText(),
type: member.type ? member.type.getText() : undefined,
visibility: getVisibility(member)
};
properties.push(propertyInfo);
}
});
return properties;
}
function getVisibility(node: ts.Node): string {
if (node.modifiers) {
if (node.modifiers.some(m => m.kind === ts.SyntaxKind.PrivateKeyword)) return 'private';
if (node.modifiers.some(m => m.kind === ts.SyntaxKind.ProtectedKeyword)) return 'protected';
if (node.modifiers.some(m => m.kind === ts.SyntaxKind.PublicKeyword)) return 'public';
}
return 'public'; // Default visibility in TypeScript
}
function getLeadingCommentText(node: ts.Node): string | undefined {
const fullText = node.getFullText();
const trivia = fullText.substring(0, node.getLeadingTriviaWidth());
const commentRanges = ts.getLeadingCommentRanges(trivia, 0);
if (commentRanges && commentRanges.length > 0) {
return trivia.substring(commentRanges[0].pos, commentRanges[0].end).trim();
}
return undefined;
}
function convertToYaml(data: FileData): string {
return yaml.dump(data, { sortKeys: false });
}
function processDirectory(sourceDir: string, destDir: string): void {
fs.readdirSync(sourceDir, { withFileTypes: true }).forEach(entry => {
const sourcePath = path.join(sourceDir, entry.name);
const destPath = path.join(destDir, entry.name);
if (entry.isDirectory()) {
fs.mkdirSync(destPath, { recursive: true });
processDirectory(sourcePath, destPath);
} else if (entry.isFile() && entry.name.endsWith('.ts')) {
const tsData = parseTypeScriptFile(sourcePath);
const yamlContent = convertToYaml(tsData);
const yamlPath = path.join(destDir, `${path.parse(entry.name).name}.yaml`);
fs.writeFileSync(yamlPath, yamlContent);
}
});
}
const sourceDirectory = '/path/to/typescript/source/directory';
const destinationDirectory = '/path/to/yaml/destination/directory';
processDirectory(sourceDirectory, destinationDirectory);
console.log('Extraction and conversion completed.');

0
api/extract_laravel_to_yaml.py → extract_laravel_to_yaml.py
View file

0
api/extract_symfony_to_yaml.py → extract_symfony_to_yaml.py
View file

1
packages/core/lib/src/http/protevus_http.dart
View file

@ -9,6 +9,7 @@ import 'dart:io'
Platform, Platform,
SecurityContext; SecurityContext;
import 'package:platform_core/core.dart'; import 'package:platform_core/core.dart';
import '../core/core.dart';
import 'http_request_context.dart'; import 'http_request_context.dart';
import 'http_response_context.dart'; import 'http_response_context.dart';