Files
gpt-pilot/core/cli/main.py
2025-05-09 10:21:17 +02:00

324 lines
9.2 KiB
Python

import asyncio
import atexit
import signal
import sys
from argparse import Namespace
from asyncio import run
try:
import sentry_sdk
SENTRY_AVAILABLE = True
except ImportError:
SENTRY_AVAILABLE = False
from core.agents.orchestrator import Orchestrator
from core.cli.helpers import (
capture_exception,
delete_project,
init,
init_sentry,
list_projects_branches_states,
list_projects_json,
load_convo,
load_project,
print_convo,
show_config,
)
from core.db.session import SessionManager
from core.db.v0importer import LegacyDatabaseImporter
from core.llm.anthropic_client import CustomAssertionError
from core.llm.base import APIError
from core.log import get_logger
from core.state.state_manager import StateManager
from core.telemetry import telemetry
from core.ui.api_server import IPCServer
from core.ui.base import (
ProjectStage,
UIBase,
UIClosedError,
UserInput,
pythagora_source,
)
log = get_logger(__name__)
telemetry_sent = False
async def cleanup(ui: UIBase):
global telemetry_sent
if not telemetry_sent:
await telemetry.send()
telemetry_sent = True
await ui.stop()
def sync_cleanup(ui: UIBase):
asyncio.run(cleanup(ui))
async def run_project(sm: StateManager, ui: UIBase, args) -> bool:
"""
Work on the project.
Starts the orchestrator agent with the newly loaded/created project
and runs it until the orchestrator decides to exit.
:param sm: State manager.
:param ui: User interface.
:param args: Command-line arguments.
:return: True if the orchestrator exited successfully, False otherwise.
"""
telemetry.set("app_id", str(sm.project.id))
telemetry.set("initial_prompt", sm.current_state.specification.description)
orca = Orchestrator(sm, ui, args=args)
success = False
try:
success = await orca.run()
telemetry.set("end_result", "success:exit" if success else "failure:api-error")
except (KeyboardInterrupt, UIClosedError):
log.info("Interrupted by user")
telemetry.set("end_result", "interrupt")
await sm.rollback()
except APIError as err:
log.warning(f"LLM API error occurred: {err.message}")
capture_exception(err)
await ui.send_message(
f"Stopping Pythagora due to an error while calling the LLM API: {err.message}",
source=pythagora_source,
)
telemetry.set("end_result", "failure:api-error")
await sm.rollback()
except CustomAssertionError as err:
log.warning(f"Anthropic assertion error occurred: {str(err)}")
capture_exception(err)
await ui.send_message(
f"Stopping Pythagora due to an error inside Anthropic SDK. {str(err)}",
source=pythagora_source,
)
telemetry.set("end_result", "failure:assertion-error")
await sm.rollback()
except Exception as err:
log.error(f"Uncaught exception: {err}", exc_info=True)
capture_exception(err)
stack_trace = telemetry.record_crash(err)
await sm.rollback()
await ui.send_message(
f"Stopping Pythagora due to error:\n\n{stack_trace}",
source=pythagora_source,
)
return success
async def start_new_project(sm: StateManager, ui: UIBase) -> bool:
"""
Start a new project.
:param sm: State manager.
:param ui: User interface.
:return: True if the project was created successfully, False otherwise.
"""
stack = await ui.ask_question(
"What do you want to build?",
allow_empty=False,
buttons={
"node": "Full stack app\n(easiest to get started)",
"swagger": "Frontend only\n(if you have backend with OpenAPI\\Swagger)",
},
buttons_only=True,
source=pythagora_source,
full_screen=True,
)
if stack.button == "other":
language = await ui.ask_question(
"What language you want to use?",
allow_empty=False,
source=pythagora_source,
full_screen=True,
)
await telemetry.trace_code_event(
"stack-choice-other",
{"language": language.text},
)
await ui.send_message("Thank you for submitting your request to support other languages.")
return False
await telemetry.trace_code_event(
"stack-choice",
{"language": stack.button},
)
while True:
try:
await ui.send_project_stage({"stage": ProjectStage.PROJECT_NAME})
user_input = await ui.ask_question(
"What is the project name?",
allow_empty=False,
source=pythagora_source,
full_screen=True,
)
except (KeyboardInterrupt, UIClosedError):
user_input = UserInput(cancelled=True)
if user_input.cancelled:
return False
project_name = user_input.text.strip()
if not project_name:
await ui.send_message("Please choose a project name", source=pythagora_source)
elif len(project_name) > 100:
await ui.send_message("Please choose a shorter project name", source=pythagora_source)
else:
break
project_state = await sm.create_project(name=project_name, project_type=stack.button)
return project_state is not None
async def run_pythagora_session(sm: StateManager, ui: UIBase, args: Namespace):
"""
Run a Pythagora session.
:param sm: State manager.
:param ui: User interface.
:param args: Command-line arguments.
:return: True if the application ran successfully, False otherwise.
"""
if args.project or args.branch or args.step:
telemetry.set("is_continuation", True)
success = await load_project(sm, args.project, args.branch, args.step)
if not success:
return False
convo = await load_convo(sm, args.project, args.branch)
await print_convo(ui, convo)
else:
success = await start_new_project(sm, ui)
if not success:
return False
return await run_project(sm, ui, args)
async def async_main(
ui: UIBase,
db: SessionManager,
args: Namespace,
) -> bool:
"""
Main application coroutine.
:param ui: User interface.
:param db: Database session manager.
:param args: Command-line arguments.
:return: True if the application ran successfully, False otherwise.
"""
global telemetry_sent
if args.list:
await list_projects_branches_states(db)
return True
elif args.list_json:
await list_projects_json(db)
return True
if args.show_config:
show_config()
return True
elif args.import_v0:
importer = LegacyDatabaseImporter(db, args.import_v0)
await importer.import_database()
return True
elif args.delete:
success = await delete_project(db, args.delete)
return success
telemetry.set("user_contact", args.email)
if SENTRY_AVAILABLE and args.email:
init_sentry()
sentry_sdk.set_user({"email": args.email})
if args.extension_version:
telemetry.set("is_extension", True)
telemetry.set("extension_version", args.extension_version)
sm = StateManager(db, ui)
if args.access_token:
sm.update_access_token(args.access_token)
# Start API server if enabled in config
api_server = None
if hasattr(args, "enable_api_server") and args.enable_api_server:
api_host = getattr(args, "local_api_server_host", "localhost")
api_port = getattr(args, "local_api_server_port", 8222) # Different from client port
api_server = IPCServer(api_host, api_port, sm)
server_started = await api_server.start()
if not server_started:
log.warning(f"Failed to start API server on {api_host}:{api_port}")
ui_started = await ui.start()
if not ui_started:
if api_server:
await api_server.stop()
return False
telemetry.start()
def signal_handler(sig, frame):
try:
loop = asyncio.get_running_loop()
def close_all():
loop.stop()
sys.exit(0)
if not telemetry_sent:
cleanup_task = loop.create_task(cleanup(ui))
cleanup_task.add_done_callback(close_all)
else:
close_all()
except RuntimeError:
if not telemetry_sent:
sync_cleanup(ui)
sys.exit(0)
for sig in (signal.SIGINT, signal.SIGTERM):
signal.signal(sig, signal_handler)
# Register the cleanup function
atexit.register(sync_cleanup, ui)
try:
success = await run_pythagora_session(sm, ui, args)
except Exception as err:
log.error(f"Uncaught exception in main session: {err}", exc_info=True)
capture_exception(err)
raise
finally:
await cleanup(ui)
if api_server:
await api_server.stop()
return success
def run_pythagora():
ui, db, args = init()
if not ui or not db:
return -1
success = run(async_main(ui, db, args))
return 0 if success else -1
if __name__ == "__main__":
sys.exit(run_pythagora())