Major changes: - New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind - 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理 - Data catalog with charts (DMS/ADAS/Lane 3-tab view) - Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance - Audit enhancements: batch operations, rejection categories, Feishu notifications - Operation audit log (操作日志) - World model simulation studio (仿真工坊) - Dataset version management with snapshots and diff - ADAS 7-class dataset integration (138K images organized + compressed) - User management with Feishu integration and pagination - CRUD/search/filter on all pages, card layout redesign - PIL-optimized image overlay rendering - Auto-snapshot on build, in_review workflow stage - Removed embedded algorithm code (now in workspace)
121 lines
3.4 KiB
Python
121 lines
3.4 KiB
Python
"""平台送标申请审批通过后:analyze → promote 入湖。"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any
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from as_platform.data.lake import (
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analyze_directory_candidate,
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create_directory_candidate,
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promote_candidate_to_inbox,
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)
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from as_platform.db.engine import session_scope
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from as_platform.db.models import BatchDelivery
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def validate_delivery_fields(
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*,
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project: str,
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task: str | None,
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mode: str | None,
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batch_name: str,
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data_path: str,
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) -> str | None:
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if not project or not batch_name:
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return "缺少 项目 或 批次名"
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if batch_name == (task or ""):
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return "批次名不能与任务名相同"
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if task in ("dam", "forward") and not (mode or "").strip():
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return f"任务 {task} 须填写 子模式"
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path = (data_path or "").strip()
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if not path:
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return "须填写 数据路径"
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p = Path(path)
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if not p.exists():
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return f"数据路径不存在: {path}"
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if project == "dms" and p.name in ("train", "val", "test") and p.parent.name == "images":
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return f"请填批次根目录(例如 {p.parent.parent}),不要填到 images/train"
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return None
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def ingest_from_directory(
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*,
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project: str,
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task: str | None,
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mode: str | None,
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batch_name: str,
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data_path: str,
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delivery_id: str | None = None,
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) -> dict[str, Any]:
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"""目录分析并 promote 到 inbox。"""
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err = validate_delivery_fields(
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project=project,
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task=task,
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mode=mode,
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batch_name=batch_name,
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data_path=data_path,
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)
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if err:
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raise ValueError(err)
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src = Path(data_path.strip())
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task_eff = task if project == "dms" else None
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cand = create_directory_candidate(
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project=project,
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task=task_eff,
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mode=mode or None,
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source_dir=src,
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source_type="platform_delivery",
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external_id=delivery_id,
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)
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cid = cand["id"]
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analyze_directory_candidate(cid, src)
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promo = promote_candidate_to_inbox(cid, batch=batch_name, mode=mode or None)
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return {
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"ok": True,
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"candidate_id": cid,
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"inbox_path": promo.get("inbox_path") or "",
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"batch": promo.get("batch") or batch_name,
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}
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def run_delivery_ingest(delivery_id: str) -> dict[str, Any]:
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with session_scope() as db:
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rec = db.get(BatchDelivery, delivery_id)
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if not rec:
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raise ValueError(f"送标申请不存在: {delivery_id}")
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rec.status = "ingesting"
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rec.error_message = None
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db.flush()
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project = rec.project
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task = rec.task
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mode = rec.mode
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batch_name = rec.batch_name
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data_path = rec.data_path
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try:
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result = ingest_from_directory(
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project=project,
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task=task,
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mode=mode,
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batch_name=batch_name,
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data_path=data_path,
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delivery_id=delivery_id,
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)
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except Exception as e:
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from as_platform.deliveries.service import mark_delivery_ingest_failed
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mark_delivery_ingest_failed(delivery_id, None, str(e))
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raise
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with session_scope() as db:
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rec = db.get(BatchDelivery, delivery_id)
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if rec:
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rec.status = "in_lake"
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rec.candidate_id = result.get("candidate_id")
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rec.inbox_path = result.get("inbox_path")
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rec.error_message = None
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db.flush()
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return result
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