mirror of
https://github.com/OMGeeky/gpt-pilot.git
synced 2026-01-02 09:26:09 +01:00
200 lines
8.5 KiB
Python
200 lines
8.5 KiB
Python
import json
|
|
from termcolor import colored
|
|
from helpers.AgentConvo import AgentConvo
|
|
|
|
from utils.utils import execute_step, find_role_from_step, generate_app_data
|
|
from database.database import save_progress, get_progress_steps
|
|
from logger.logger import logger
|
|
from prompts.prompts import get_additional_info_from_user, execute_chat_prompt
|
|
from const.function_calls import FILTER_OS_TECHNOLOGIES, DEVELOPMENT_PLAN
|
|
from const.code_execution import MAX_COMMAND_DEBUG_TRIES
|
|
from utils.utils import get_os_info
|
|
from helpers.cli import execute_command
|
|
|
|
def environment_setup():
|
|
# env_setup/specs.prompt
|
|
# loop through returned array
|
|
# install_next_technology.prompt
|
|
# cli_response.prompt
|
|
# unsuccessful_installation.prompt
|
|
|
|
# OR
|
|
execute_command();
|
|
|
|
def implement_task(task):
|
|
# development/task/breakdown.prompt
|
|
# loop through returned array
|
|
# development/task/step/specs.prompt
|
|
pass
|
|
|
|
def execute_command_and_check_cli_response(command, timeout, previous_messages, current_step):
|
|
cli_response = execute_command(command, timeout)
|
|
response, messages = execute_chat_prompt('dev_ops/ran_command.prompt',
|
|
{ 'cli_response': cli_response, 'command': command }, current_step, previous_messages)
|
|
return response, messages
|
|
|
|
def run_command_until_success(command, timeout, previous_messages, current_step):
|
|
command_executed = False
|
|
for _ in range(MAX_COMMAND_DEBUG_TRIES):
|
|
cli_response = execute_command(command, timeout)
|
|
response, previous_messages = execute_chat_prompt('dev_ops/ran_command.prompt',
|
|
{'cli_response': cli_response, 'command': command}, current_step, previous_messages)
|
|
|
|
command_executed = response == 'DONE'
|
|
if command_executed:
|
|
break
|
|
|
|
command = response
|
|
|
|
if not command_executed:
|
|
# TODO ask user to debug and press enter to continue
|
|
pass
|
|
|
|
def set_up_environment(technologies, args):
|
|
current_step = 'environment_setup'
|
|
role = find_role_from_step(current_step)
|
|
|
|
steps = get_progress_steps(args['app_id'], current_step)
|
|
if steps and not execute_step(args['step'], current_step):
|
|
first_step = steps[0]
|
|
data = json.loads(first_step['data'])
|
|
|
|
app_data = data.get('app_data')
|
|
if app_data is not None:
|
|
args.update(app_data)
|
|
|
|
message = f"Environment setup is already done for this app_id: {args['app_id']}. Moving to next step..."
|
|
print(colored(message, "green"))
|
|
logger.info(message)
|
|
return data.get('os_specific_techologies'), data.get('newly_installed_technologies'), data.get('messages')
|
|
|
|
# ENVIRONMENT SETUP
|
|
print(colored(f"Setting up the environment...\n", "green"))
|
|
logger.info(f"Setting up the environment...")
|
|
|
|
# TODO: remove this once the database is set up properly
|
|
# previous_messages[2]['content'] = '\n'.join(previous_messages[2]['content'])
|
|
# TODO END
|
|
|
|
os_info = get_os_info()
|
|
os_specific_techologies, previous_messages = execute_chat_prompt('development/env_setup/specs.prompt',
|
|
{ "os_info": os_info, "technologies": technologies }, current_step, function_calls=FILTER_OS_TECHNOLOGIES)
|
|
|
|
for technology in os_specific_techologies:
|
|
llm_response, previous_messages = execute_chat_prompt('development/env_setup/install_next_technology.prompt',
|
|
{ 'technology': technology}, current_step, previous_messages, function_calls={
|
|
'definitions': [{
|
|
'name': 'execute_command',
|
|
'description': f'Executes a command that should check if {technology} is installed on the machine. ',
|
|
'parameters': {
|
|
'type': 'object',
|
|
'properties': {
|
|
'command': {
|
|
'type': 'string',
|
|
'description': f'Command that needs to be executed to check if {technology} is installed on the machine.',
|
|
},
|
|
'timeout': {
|
|
'type': 'number',
|
|
'description': f'Timeout in seconds for the approcimate time this command takes to finish.',
|
|
}
|
|
},
|
|
'required': ['command', 'timeout'],
|
|
},
|
|
}],
|
|
'functions': {
|
|
'execute_command': execute_command_and_check_cli_response
|
|
},
|
|
'send_messages_and_step': True
|
|
})
|
|
|
|
if not llm_response == 'DONE':
|
|
installation_commands, previous_messages = execute_chat_prompt('development/env_setup/unsuccessful_installation.prompt',
|
|
{ 'technology': technology }, current_step, previous_messages, function_calls={
|
|
'definitions': [{
|
|
'name': 'execute_commands',
|
|
'description': f'Executes a list of commands that should install the {technology} on the machine. ',
|
|
'parameters': {
|
|
'type': 'object',
|
|
'properties': {
|
|
'commands': {
|
|
'type': 'array',
|
|
'description': f'List of commands that need to be executed to install {technology} on the machine.',
|
|
'items': {
|
|
'type': 'object',
|
|
'properties': {
|
|
'command': {
|
|
'type': 'string',
|
|
'description': f'Command that needs to be executed as a step to install {technology} on the machine.',
|
|
},
|
|
'timeout': {
|
|
'type': 'number',
|
|
'description': f'Timeout in seconds for the approcimate time this command takes to finish.',
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
'required': ['commands'],
|
|
},
|
|
}],
|
|
'functions': {
|
|
'execute_commands': lambda commands: (commands, None)
|
|
}
|
|
})
|
|
if installation_commands is not None:
|
|
for cmd in installation_commands:
|
|
run_command_until_success(cmd['command'], cmd['timeout'], previous_messages, current_step)
|
|
|
|
|
|
|
|
|
|
logger.info('The entire tech stack neede is installed and ready to be used.')
|
|
|
|
save_progress(args['app_id'], current_step, {
|
|
"os_specific_techologies": os_specific_techologies, "newly_installed_technologies": [], "app_data": generate_app_data(args)
|
|
})
|
|
|
|
# ENVIRONMENT SETUP END
|
|
|
|
def create_development_plan(high_level_summary, user_stories, user_tasks, technologies_to_use, args):
|
|
current_step = 'development_planning'
|
|
convo_development_plan = AgentConvo(current_step)
|
|
|
|
steps = get_progress_steps(args['app_id'], current_step)
|
|
if steps and not execute_step(args['step'], current_step):
|
|
first_step = steps[0]
|
|
data = json.loads(first_step['data'])
|
|
|
|
app_data = data.get('app_data')
|
|
if app_data is not None:
|
|
args.update(app_data)
|
|
|
|
message = f"Plan for development is already done for this app_id: {args['app_id']}. Moving to next step..."
|
|
print(colored(message, "green"))
|
|
logger.info(message)
|
|
return data.get('messages')
|
|
|
|
# DEVELOPMENT PLANNING
|
|
print(colored(f"Starting to create the action plan for development...\n", "green"))
|
|
logger.info(f"Starting to create the action plan for development...")
|
|
|
|
# TODO add clarifications
|
|
development_plan = convo_development_plan.send_message('development/plan.prompt',
|
|
{
|
|
"app_summary": high_level_summary,
|
|
"clarification": [],
|
|
"user_stories": user_stories,
|
|
"user_tasks": user_tasks,
|
|
"technologies": technologies_to_use
|
|
}, DEVELOPMENT_PLAN)
|
|
|
|
logger.info('Plan for development is created.')
|
|
|
|
save_progress(args['app_id'], current_step, {
|
|
"development_plan": development_plan, "app_data": generate_app_data(args)
|
|
})
|
|
|
|
return development_plan
|
|
|
|
def start_development(user_stories, user_tasks, technologies_to_use, args):
|
|
pass |