mirror of
https://github.com/agentscope-ai/ReMe.git
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* feat(application): add thread pool support and background job threading capabilities - Integrate ThreadPoolExecutor for shared thread pool management in application context - Add thread_pool_max_workers configuration option with default value of 0 (disabled) - Implement thread pool creation and shutdown in application lifecycle methods - Add use_thread_pool option to background job configuration for thread-based execution - Support both asyncio event loop and threading event for background job stop mechanism - Implement _run_in_thread method for running supervisors in dedicated threads - Modify embedding models to use serial batching instead of concurrent batching - Remove max_concurrency parameter from base embedding model component - Update embedding model documentation to reflect serial batching implementation - Add pyproject.toml with project metadata, dependencies, and build configuration * refactor(job): simplify background job thread execution - Replace separate _run_in_thread method with direct lambda execution - Remove unnecessary ensure_future wrapper for thread pool execution - Simplify asyncio event loop usage in thread pool mode - Maintain same background job functionality with cleaner implementation - Remove redundant method definition and streamline execution flow
232 lines
9.6 KiB
Python
232 lines
9.6 KiB
Python
"""Main application entry point."""
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import asyncio
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import heapq
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from concurrent.futures import ThreadPoolExecutor
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from pathlib import Path
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from typing import AsyncGenerator, TypeVar
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from .components import BaseComponent, ApplicationContext
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from .components.job import BaseJob
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from .components.service import BaseService
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from .enumeration import ComponentEnum
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from .schema import ComponentConfig, Response, StreamChunk
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from .utils import execute_stream_task, print_logo, get_logger
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T = TypeVar("T", bound=BaseComponent)
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_NodeKey = tuple[ComponentEnum, str]
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class Application(BaseComponent):
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"""Wires components from config and runs jobs against them."""
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def __init__(self, **kwargs) -> None:
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self.context = ApplicationContext(**kwargs)
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self._started_components: list[BaseComponent] = []
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self._setup_vault_directories()
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if self.config.enable_logo:
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print_logo(self.config)
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logger = get_logger(log_to_console=self.config.log_to_console, log_to_file=self.config.log_to_file)
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logger.info(f"Initializing {self.config.app_name} Application")
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super().__init__()
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self._init_service()
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self._init_components()
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self._init_jobs()
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@property
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def config(self):
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"""Typed view onto the application config held by the context."""
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return self.context.app_config
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# ----- Wiring (called once during __init__) --------------------------
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def _setup_vault_directories(self) -> None:
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"""Ensure the vault root and configured subdirectories exist on disk."""
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cfg = self.config
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vault_path = Path(cfg.vault_dir).absolute()
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vault_path.mkdir(parents=True, exist_ok=True)
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for subdir in [cfg.metadata_dir, cfg.daily_dir, cfg.digest_dir, cfg.resource_dir]:
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if subdir:
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(vault_path / subdir).mkdir(parents=True, exist_ok=True)
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def _init_service(self) -> None:
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"""Instantiate the single service backend declared in config.service."""
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self.context.service = self._instantiate(
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ComponentEnum.SERVICE,
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self.config.service,
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label="Service",
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expected_type=BaseService,
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)
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def _init_components(self) -> None:
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"""Instantiate every component declared under config.components."""
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for ctype, group in self.config.components.items():
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self.context.components[ctype] = {}
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for name, cfg in group.items():
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self.context.components[ctype][name] = self._instantiate(
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ctype,
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cfg,
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label=f"Component '{name}'",
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expected_type=BaseComponent,
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name=name,
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)
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def _init_jobs(self) -> None:
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"""Instantiate every job declared under config.jobs."""
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for name, cfg in self.config.jobs.items():
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self.context.jobs[name] = self._instantiate(
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ComponentEnum.JOB,
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cfg,
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label=f"Job '{name}'",
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expected_type=BaseJob,
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name=name,
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)
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def _instantiate(
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self,
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ctype: ComponentEnum,
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cfg: ComponentConfig,
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*,
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label: str,
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expected_type: type[T],
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name: str | None = None,
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) -> T:
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"""Resolve cfg.backend through the registry and construct the instance.
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`label` is the human-readable identifier used only in error messages.
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`expected_type` narrows the return type and guards against a backend
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registered under the wrong ComponentEnum.
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`name` is forwarded to the constructor for named components/jobs;
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leave it None for the service, which is keyed solely by type.
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"""
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# Lazy import: the registry self-populates as component modules load.
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from .components import R
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if not cfg.backend:
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raise ValueError(f"{label} is missing the required 'backend' field")
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backend_cls = R.get(ctype, cfg.backend)
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if backend_cls is None:
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raise ValueError(f"Unregistered backend '{cfg.backend}' for {label}")
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params = cfg.model_dump()
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params["app_context"] = self.context
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if name is not None:
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params.setdefault("name", name)
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instance = backend_cls(**params)
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if not isinstance(instance, expected_type):
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got, want = type(instance).__name__, expected_type.__name__
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raise TypeError(f"{label} backend '{cfg.backend}' produced {got}, expected {want} subclass")
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return instance
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# ----- Dependency ordering ------------------------------------------
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def _topological_order(self) -> list[BaseComponent]:
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"""Return components in dependency order via Kahn's algorithm; raise on missing dep or cycle."""
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nodes: dict[_NodeKey, BaseComponent] = {
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(ctype, name): comp for ctype, group in self.context.components.items() for name, comp in group.items()
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}
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in_degree, dependents = self._build_dependency_graph(nodes)
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ready = [k for k, d in in_degree.items() if d == 0]
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heapq.heapify(ready)
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ordered: list[BaseComponent] = []
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while ready:
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key = heapq.heappop(ready)
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ordered.append(nodes[key])
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for downstream in dependents[key]:
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in_degree[downstream] -= 1
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if in_degree[downstream] == 0:
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heapq.heappush(ready, downstream)
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if len(ordered) != len(nodes):
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unresolved = [f"{k[0].value}:{k[1]}" for k, d in in_degree.items() if d > 0]
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raise ValueError(f"Circular dependency detected among: {unresolved}")
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return ordered
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@staticmethod
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def _build_dependency_graph(
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nodes: dict[_NodeKey, BaseComponent],
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) -> tuple[dict[_NodeKey, int], dict[_NodeKey, list[_NodeKey]]]:
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"""Compute in-degree and adjacency lists; raise if a required dep is missing."""
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in_degree: dict[_NodeKey, int] = dict.fromkeys(nodes, 0)
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dependents: dict[_NodeKey, list[_NodeKey]] = {k: [] for k in nodes}
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for key, comp in nodes.items():
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for dep in comp.dependencies:
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dep_key = (dep.ctype, dep.name)
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if dep_key in nodes:
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dependents[dep_key].append(key)
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in_degree[key] += 1
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elif not dep.optional:
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raise ValueError(
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f"Component {key[0].value}:{key[1]} depends on unregistered {dep.ctype.value}:{dep.name}",
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)
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return in_degree, dependents
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# ----- Lifecycle -----------------------------------------------------
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async def _start(self) -> None:
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"""Start components in dependency order, then jobs (background last)."""
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pool_size = self.config.thread_pool_max_workers
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if pool_size > 0:
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self.context.thread_pool = ThreadPoolExecutor(max_workers=pool_size)
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self.logger.info(f"Thread pool created with max_workers={pool_size}")
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components = self._topological_order()
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jobs = list(self.context.jobs.values())
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# Background jobs come last so they observe a fully wired system.
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foreground = [j for j in jobs if j.backend != "background"]
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background = [j for j in jobs if j.backend == "background"]
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for c in components + foreground + background:
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await self._start_one(c)
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async def _start_one(self, c: BaseComponent) -> None:
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"""Start one component and record it for ordered shutdown; log and swallow failures."""
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try:
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if c.backend == "background":
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self.logger.info(f"Starting background job: {c.name}")
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await c.start()
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self._started_components.append(c)
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except Exception as e:
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self.logger.exception(f"Failed to start {c.component_type.value}:{c.name}: {e}")
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async def _close(self) -> None:
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"""Close in reverse start order so every peer outlives its dependents."""
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for c in reversed(self._started_components):
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try:
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await c.close()
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except Exception as e:
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self.logger.exception(f"Failed to close {c.component_type.value}:{c.name}: {e}")
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self._started_components.clear()
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if self.context.thread_pool is not None:
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self.context.thread_pool.shutdown(wait=True)
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self.context.thread_pool = None
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# ----- Job execution -------------------------------------------------
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async def run_job(self, name: str, /, **kwargs) -> Response:
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"""Execute a registered job by name and return its final Response."""
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if name not in self.context.jobs:
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raise KeyError(f"Job '{name}' not found")
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return await self.context.jobs[name](**kwargs)
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async def run_stream_job(self, name: str, /, **kwargs) -> AsyncGenerator[StreamChunk, None]:
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"""Execute a streaming job, yielding chunks as they are produced."""
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if name not in self.context.jobs:
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raise KeyError(f"Job '{name}' not found")
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stream_queue: asyncio.Queue = asyncio.Queue()
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task = asyncio.create_task(self.context.jobs[name](stream_queue=stream_queue, **kwargs))
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async for chunk in execute_stream_task(
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stream_queue=stream_queue,
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task=task,
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task_name=name,
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output_format="chunk",
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):
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assert isinstance(chunk, StreamChunk)
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yield chunk
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def run_app(self):
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"""Serve the application through the configured service backend."""
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assert isinstance(self.context.service, BaseService)
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self.context.service.run_app(app=self)
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