def handle_create_parser(self) -> None:
temp_parser = Parser()
# Render text
self.current_end = 0
self.messages = constants.CREATE_PARSER_MESSAGES
self.previous_render = None # Force render
self.render_text_in_output()
# Get type
self.activate_prompt()
parser_type = None
while parser_type not in {'regex', 'split'}:
self.activate_prompt()
parser_type = self.box.gather().strip()
# Handle next step
self.messages = [f'Parser type {parser_type}']
self.messages.append(constants.PARSER_SET_NAME)
self.previous_render = None # Force render
self.render_text_in_output()
# Get name
self.activate_prompt()
parser_name = self.box.gather().strip()
# Handle next step
self.messages.append(f'Parser name {parser_name}')
self.messages.append(constants.PARSER_SET_EXAMPLE)
self.previous_render = None # Force render
self.render_text_in_output()
# Get example
self.activate_prompt()
parser_example = self.box.gather().strip()
# Handle next step
self.messages.append(f'Parser example {parser_example}')
self.messages.append(constants.PARSER_SET_PATTERN)
self.previous_render = None # Force render
self.render_text_in_output()
# Get pattern
self.activate_prompt()
parser_pattern = self.box.gather()
# Set the parser's data
temp_parser.set_pattern(parser_pattern, parser_type, parser_name,
parser_example, {})
# Determine the analytics dict
parts = temp_parser.parse(parser_example)
analytics = {part: 'count' for part in parts}
# Set the parser's data with analytics
temp_parser.set_pattern(parser_pattern, parser_type, parser_name,
parser_example, analytics)
self.messages = temp_parser.as_list()
self.messages.append(constants.SAVE_CURRENT_PATTERN)
self.previous_render = None # Force render
self.render_text_in_output()
self.activate_prompt()
final_res = self.box.gather().strip()
if final_res == ':q':
return
temp_parser.save()
self.messages = []
def handle_create_parser(logria: 'Logria') -> None: # type: ignore
"""
Get user input to create a session
"""
temp_parser = Parser()
# Render text
logria.current_end = 0
logria.messages = constants.CREATE_PARSER_MESSAGES
logria.redraw()
# Get type
logria.activate_prompt()
parser_type: str = ''
while parser_type not in {'regex', 'split'}:
logria.activate_prompt()
parser_type = logria.box.gather().strip()
if parser_type == ':q':
logria.stop()
return
# Handle next step
logria.messages = [f'Parser type {parser_type}']
logria.messages.append(constants.PARSER_SET_NAME)
logria.redraw()
# Get name
logria.activate_prompt()
parser_name = logria.box.gather().strip()
if parser_name == ':q':
logria.stop()
return
# Handle next step
logria.messages.append(f'Parser name {parser_name}')
logria.messages.append(constants.PARSER_SET_EXAMPLE)
logria.redraw()
# Get example
logria.activate_prompt()
parser_example = logria.box.gather().strip()
if parser_example == ':q':
logria.stop()
return
# Handle next step
logria.messages.append(f'Parser example {parser_example}')
logria.messages.append(constants.PARSER_SET_PATTERN)
logria.redraw()
# Get pattern
logria.activate_prompt()
parser_pattern = logria.box.gather()
if parser_pattern == ':q':
logria.stop()
return
# Set the parser's data
temp_parser.set_pattern(parser_pattern, parser_type, parser_name,
parser_example, {})
# Determine the analytics dict
parts = temp_parser.parse(parser_example)
analytics = {part: 'count' for part in parts}
# Set the parser's data with analytics
temp_parser.set_pattern(parser_pattern, parser_type, parser_name,
parser_example, analytics)
logria.messages = temp_parser.as_list()
logria.messages.append(constants.SAVE_CURRENT_PATTERN)
logria.redraw()
logria.activate_prompt()
final_res = logria.box.gather().strip()
if final_res == ':q':
return
temp_parser.save()
logria.messages = []
