potaserandClaude Opus 5
e641c8b9ab
【轻量拓展分析】 - 新增 gfa_core/extension_stage_lightweight/ 核心模块，支持用户上传代码/数据/原始命令 - 前端卡片式交互流程：候选核对 → 验证 → 结果审查 → 授权发布 → 运行 - Celery 不受限任务 + 轮询机制 + sessionStorage 操作恢复 - 启动脚本新增 BBAV5_LIGHTWEIGHT_* 环境变量 【WGS2GWAS 支持】 - 新增 13 个 WGS 阶段定义（QC → MAF/Missing Filter） - email_haplotype_region.py 新增 LTR-RT 分析功能 【结果区域重构】 - 单层折叠 → 三组双层折叠：RNA-seq / 基因家族 / WGS2GWAS - 结果按执行时间排序，保留最新尝试 【物种角色解析增强】 - 新增 _resolve_subfamily_request_species_roles() - 支持 reference 角色的识别 - 直接 stage 请求保留 intent 中的物种角色 【会话 Job 隔离】 - rebind_job() 跨 job 时创建新会话，返回新 conversation_id 【前端交互增强】 - RAG 文献问答模式 - NL 触发 config/samples 自动填写、亚家族确认表、基因家族成员确认表 - 执行状态从后端 resource_tasks 恢复 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
74 lines
2.0 KiB
Python
Executable File
74 lines
2.0 KiB
Python
Executable File
import os
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import sys
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from pathlib import Path
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from celery import Celery
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from kombu import Exchange, Queue
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LOCAL_PROJECT_ROOT = Path(__file__).resolve().parent
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if str(LOCAL_PROJECT_ROOT) not in sys.path:
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sys.path.insert(0, str(LOCAL_PROJECT_ROOT))
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from gfa_core.project_paths import PROJECT_ROOT
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os.environ.setdefault("PROJECT_ROOT", str(PROJECT_ROOT))
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os.environ.setdefault("BBAV5_PROJECT_ROOT", str(PROJECT_ROOT))
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QUEUE_PREFIX = os.environ.get("BBAV5_QUEUE_PREFIX", "plantai_dev_9000").strip() or "plantai_dev_9000"
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REDIS_URL = os.environ.get("BBAV5_REDIS_URL", "redis://localhost:6379/10")
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def q(name: str) -> str:
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return f"{QUEUE_PREFIX}.{name}"
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TASK_EXCHANGE = Exchange(q("tasks"), type="direct")
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def queue(name: str) -> Queue:
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queue_name = q(name)
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return Queue(queue_name, TASK_EXCHANGE, routing_key=queue_name)
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app = Celery(
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"plantai_dev_9000",
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broker=REDIS_URL,
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backend=REDIS_URL,
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include=["tasks"],
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)
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app.conf.update(
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task_serializer="json",
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accept_content=["json"],
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result_serializer="json",
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timezone="Asia/Shanghai",
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enable_utc=True,
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task_track_started=True,
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task_default_queue=q("default"),
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task_default_exchange=q("tasks"),
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task_default_exchange_type="direct",
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task_default_routing_key=q("default"),
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task_queues=(
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queue("default"),
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queue("heavy"),
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queue("medium"),
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queue("light"),
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queue("rnaseq"),
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),
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task_routes={
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"tasks.execute_agent_task": {"queue": q("default"), "routing_key": q("default")},
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},
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task_time_limit=172800,
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task_soft_time_limit=169200,
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task_annotations={
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"tasks.execute_agent_task": {"time_limit": 3600, "soft_time_limit": 3300},
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"tasks.execute_single_stage_task": {"time_limit": 172800, "soft_time_limit": 169200},
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"tasks.execute_lightweight_extension_operation": {
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"time_limit": None,
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"soft_time_limit": None,
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},
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},
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worker_prefetch_multiplier=1,
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)
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if __name__ == "__main__":
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app.start()
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