ReMe/reme2/application.py
jinli.yl d0b538fbc8 up
2026-05-14 20:51:14 +08:00

187 lines
7.5 KiB
Python

"""Application module for managing the main application lifecycle."""
import asyncio
import heapq
from pathlib import Path
from typing import AsyncGenerator
from .component import BaseComponent, ApplicationContext
from .enumeration import ComponentEnum
from .schema import Response, StreamChunk
from .utils import execute_stream_task, print_logo, get_logger
class Application(BaseComponent):
"""Application component for managing the main application."""
def __init__(self, **kwargs) -> None:
self.context = ApplicationContext(**kwargs)
working_path = Path(self.config.working_dir).absolute()
working_path.mkdir(parents=True, exist_ok=True)
if self.config.enable_logo:
print_logo(self.config)
logger = get_logger(
log_to_console=self.config.log_to_console,
log_to_file=self.config.log_to_file,
force_init=True,
)
logger.info(f"Initializing {self.config.app_name} Application")
super().__init__()
from .component import R
# Initialize the service
service_config = self.config.service
if not service_config.backend:
raise ValueError("Service configuration is missing the required 'backend' field")
service_cls = R.get(ComponentEnum.SERVICE, service_config.backend)
if not service_cls:
raise ValueError(
f"Service references an unregistered backend '{service_config.backend}' "
f"of type '{ComponentEnum.SERVICE}'",
)
params = service_config.model_dump()
params["app_context"] = self.context
self.context.service = service_cls(**params)
# Initialize all components grouped by type and name
for component_type, component_configs in self.config.components.items():
self.context.components[component_type] = {}
for name, config in component_configs.items():
if not config.backend:
raise ValueError(f"Component '{name}' is missing the required 'backend' field")
backend_cls = R.get(component_type, config.backend)
if not backend_cls:
raise ValueError(
f"Component '{name}' references an unregistered backend '{config.backend}' "
f"of type '{component_type}'",
)
params = config.model_dump()
params.setdefault("name", name)
params["app_context"] = self.context
self.context.components[component_type][name] = backend_cls(**params)
# Initialize all jobs
for job_config in self.config.jobs:
if not job_config.backend:
raise ValueError(f"Job '{job_config.name}' is missing the required 'backend' field")
job_cls = R.get(ComponentEnum.JOB, job_config.backend)
if not job_cls:
raise ValueError(
f"Job '{job_config.name}' references an unregistered backend '{job_config.backend}' "
f"of type '{ComponentEnum.JOB}'",
)
params = job_config.model_dump()
params["app_context"] = self.context
self.context.jobs[job_config.name] = job_cls(**params)
@property
def config(self):
"""Get application configuration."""
return self.context.app_config
# ----- Dependency-aware startup --------------------------------------
def _topological_order(self) -> list[BaseComponent]:
"""Kahn's algorithm. Raises on missing required dep or cycle."""
nodes: dict[tuple[ComponentEnum, str], BaseComponent] = {
(ctype, name): comp
for ctype, group in self.context.components.items()
for name, comp in group.items()
}
in_degree: dict[tuple[ComponentEnum, str], int] = dict.fromkeys(nodes, 0)
dependents: dict[tuple[ComponentEnum, str], list[tuple[ComponentEnum, str]]] = {k: [] for k in nodes}
for key, comp in nodes.items():
for dep in comp.dependencies:
dep_key = (dep.ctype, dep.name)
if dep_key in nodes:
dependents[dep_key].append(key)
in_degree[key] += 1
elif not dep.optional:
raise ValueError(
f"Component {key[0].value}:{key[1]} depends on "
f"{dep.ctype.value}:{dep.name}, which is not registered",
)
ready = [k for k, d in in_degree.items() if d == 0]
heapq.heapify(ready)
ordered: list[BaseComponent] = []
while ready:
key = heapq.heappop(ready)
ordered.append(nodes[key])
for downstream in dependents[key]:
in_degree[downstream] -= 1
if in_degree[downstream] == 0:
heapq.heappush(ready, downstream)
if len(ordered) != len(nodes):
unresolved = [f"{k[0].value}:{k[1]}" for k, d in in_degree.items() if d > 0]
raise ValueError(f"Circular dependency detected among: {unresolved}")
return ordered
async def _start(self) -> None:
"""Start all components in topological order, then jobs."""
start_order = self._topological_order()
order_str = " -> ".join(f"{c.component_type.value}:{c.name}" for c in start_order)
self.logger.info(f"Component start order: {order_str}")
for component in start_order:
try:
await component.start()
except Exception as e:
self.logger.exception(f"Failed to start {component.component_type.value}:{component.name}: {e}")
for name, job in self.context.jobs.items():
try:
await job.start()
except Exception as e:
self.logger.exception(f"Failed to start job '{name}': {e}")
async def _close(self) -> None:
"""Close all components and jobs."""
for name, job in self.context.jobs.items():
try:
await job.close()
except Exception as e:
self.logger.exception(f"Failed to close job '{name}': {e}")
for components in self.context.components.values():
for component in components.values():
try:
await component.close()
except Exception as e:
self.logger.exception(f"Failed to close {component.component_type.value}:{component.name}: {e}")
async def run_job(self, name: str, /, **kwargs) -> Response:
"""Execute a registered job by name."""
if name not in self.context.jobs:
raise KeyError(f"Job '{name}' not found")
job = self.context.jobs[name]
return await job(**kwargs)
async def run_stream_job(self, name: str, /, **kwargs) -> AsyncGenerator[StreamChunk, None]:
"""Execute a streaming job and yield chunks."""
if name not in self.context.jobs:
raise KeyError(f"Job '{name}' not found")
job = self.context.jobs[name]
stream_queue = asyncio.Queue()
task = asyncio.create_task(job(stream_queue=stream_queue, **kwargs))
async for chunk in execute_stream_task(
stream_queue=stream_queue,
task=task,
task_name=name,
output_format="chunk",
):
assert isinstance(chunk, StreamChunk)
yield chunk
def run_app(self):
"""Run the application as a service."""
service = self.context.service
service.run_app(app=self)