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HSAP/platform/as_platform/labeling/service.py

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"""Campaign 与 pending 批次合并列表。"""
from __future__ import annotations
import hashlib
import json
import uuid
from datetime import datetime, timezone
from typing import Any
from as_platform.config import WORKSPACE
from as_platform.data.core import get_pending_report, load_wf
from as_platform.db.engine import session_scope
from as_platform.db.models import LabelingCampaign, LabelingExportJob, User
from as_platform.jobs.queue import enqueue_job, get_job
from as_platform.labeling.annotate import resolve_editor_xml, sync_campaign_config_xml
from as_platform.labeling.batch_stage import (
on_labeling_export_job_succeeded,
update_campaign_batch_meta_stage,
)
from as_platform.labeling.scope import (
enrich_batch_labels,
format_scope_key,
load_dms_registry,
load_labeling_registry,
)
def _campaign_id(project: str, task: str, mode: str | None, batch: str, location: str) -> str:
sk = format_scope_key(project, task, mode)
raw = f"{sk}:{batch}:{location}"
return hashlib.sha256(raw.encode()).hexdigest()[:20]
def _parse_scope_key(scope_key: str) -> tuple[str, str, str | None]:
parts = scope_key.split(":")
if parts[0] == "lane":
return "lane", parts[1] if len(parts) > 1 else "lane_v1", None
if len(parts) >= 3:
return "dms", parts[1], parts[2]
if len(parts) == 2:
return "dms", parts[1], None
return "dms", parts[-1], None
def _registry_fallback_batches(wf: dict, reg: dict) -> list[dict[str, Any]]:
"""labeling.registry 中有配置但 pending 未扫到的批次(如空 inbox"""
from pathlib import Path
from as_platform.data.batch import enrich_batch
from as_platform.data.core import proj_root
profiles = load_labeling_registry().get("profiles") or {}
rows: list[dict[str, Any]] = []
dms_root = proj_root(wf, "dms")
for _pk, prof in profiles.items():
scope_key = prof.get("scope_key") or ""
project, task, mode = _parse_scope_key(scope_key)
if project != "dms":
continue
batch = mode or task
batch_dir = None
if mode:
try:
import sys
scripts = WORKSPACE / "datasets" / "dms" / "scripts"
if str(scripts) not in sys.path:
sys.path.insert(0, str(scripts))
from task_registry import inbox_dir, resolve_task_id
task_r, mode_r = resolve_task_id(task, mode)
batch_dir = inbox_dir(dms_root, task_r, mode_r, reg)
except Exception:
batch_dir = dms_root / "inbox" / task / mode
else:
batch_dir = dms_root / "inbox" / task / batch
if not isinstance(batch_dir, Path) or not batch_dir.is_dir():
row = {
"project": project,
"task": task,
"mode": mode,
"batch": batch,
"stage": "raw_pool",
"location": "inbox",
"path": str(batch_dir) if batch_dir else "",
"counts": {"images": 0, "labels": 0},
"registry_only": True,
}
else:
row = enrich_batch(
batch_dir,
project=project,
task=task,
pack=None,
batch=batch,
location="inbox",
)
row["mode"] = mode
row["scope_key"] = scope_key
rows.append(row)
return rows
def list_labeling_batches(
*,
stage: str | None = None,
offset: int = 0,
limit: int = 20,
) -> dict[str, Any]:
wf = load_wf()
report = get_pending_report(wf)
reg = load_dms_registry()
items: list[dict[str, Any]] = []
seen: set[str] = set()
allowed_stages = ("raw_pool", "out_for_labeling", "returned", "labeling_submitted", "in_review", "review_approved", "review_rejected")
def _append(b: dict[str, Any]) -> None:
if stage and b.get("stage") != stage:
return
if b.get("stage") not in allowed_stages:
return
row = enrich_batch_labels(b, reg)
cid = _campaign_id(
row["project"], row.get("task") or "", row.get("mode"), row["batch"], row.get("location") or "inbox"
)
key = f"{cid}"
if key in seen:
return
seen.add(key)
with session_scope() as db:
camp = db.get(LabelingCampaign, cid)
status = camp.status if camp else "not_opened"
if camp:
row["assigned_to_user_id"] = camp.assigned_to_user_id
row["assigned_to_name"] = camp.assigned_to_name
row["campaign_id"] = cid
row["campaign_status"] = status
if camp and status in ("in_progress", "labeling_submitted"):
try:
from as_platform.labeling.progress import campaign_progress_summary
row.update(campaign_progress_summary(cid))
except Exception:
row.update({"total_tasks": 0, "completed_tasks": 0, "assigned_tasks": 0})
items.append(row)
for b in report.get("batches", []):
_append(b)
for b in _registry_fallback_batches(wf, reg):
_append(b)
total = len(items)
page = items[max(0, offset) : max(0, offset) + max(1, limit)]
return {
"items": page,
"total": total,
"offset": offset,
"limit": limit,
"updated_at": report.get("updated_at"),
}
def open_campaign(
*,
project: str,
task: str,
batch: str,
mode: str | None = None,
pack: str | None = None,
location: str = "inbox",
) -> dict[str, Any]:
cid = _campaign_id(project, task, mode, batch, location)
config_xml = resolve_editor_xml(project, task, mode)
now = datetime.now(timezone.utc)
with session_scope() as db:
camp = db.get(LabelingCampaign, cid)
if not camp:
camp = LabelingCampaign(
id=cid,
project=project,
task=task,
mode=mode,
batch=batch,
pack=pack,
location=location,
status="in_progress",
config_xml=config_xml,
created_at=now,
updated_at=now,
)
db.add(camp)
else:
camp.status = "in_progress"
camp.updated_at = now
sync_campaign_config_xml(camp)
db.flush()
out = camp.to_dict()
out["config_xml"] = camp.config_xml
update_campaign_batch_meta_stage(camp, "out_for_labeling")
reg = load_dms_registry() if project == "dms" else None
row = enrich_batch_labels(out, reg)
row["stage"] = "out_for_labeling"
return row
def get_campaign(campaign_id: str) -> dict[str, Any] | None:
with session_scope() as db:
camp = db.get(LabelingCampaign, campaign_id)
if not camp:
return None
row = camp.to_dict()
row["config_xml"] = camp.config_xml
reg = load_dms_registry() if row.get("project") == "dms" else None
return enrich_batch_labels(row, reg)
def _export_job_id() -> str:
return f"lej-{uuid.uuid4().hex[:16]}"
def _record_export_job(campaign_id: str, action: str, job: dict[str, Any]) -> dict[str, Any]:
ej_id = _export_job_id()
job_id = job.get("id")
now = datetime.now(timezone.utc)
with session_scope() as db:
ej = LabelingExportJob(
id=ej_id,
campaign_id=campaign_id,
action=action,
job_id=job_id,
status=job.get("status") or "queued",
created_at=now,
)
db.add(ej)
out = get_export_job(ej_id)
return out or {"id": ej_id, "campaign_id": campaign_id, "action": action, "job_id": job_id}
def _sync_export_job_from_queue(ej: LabelingExportJob) -> None:
if not ej.job_id:
return
job = get_job(ej.job_id)
if not job:
return
ej.status = job.get("status") or ej.status
if job.get("finished_at"):
try:
ej.finished_at = datetime.fromisoformat(str(job["finished_at"]).replace("Z", "+00:00"))
except Exception:
pass
if job.get("result") is not None:
ej.result_json = json.dumps(job.get("result"), ensure_ascii=False)
if ej.action == "labeling_export" and ej.status in ("succeeded", "completed"):
on_labeling_export_job_succeeded(
{"action": "labeling_export", "params": {"campaign_id": ej.campaign_id}}
)
def get_export_job(export_job_id: str) -> dict[str, Any] | None:
with session_scope() as db:
ej = db.get(LabelingExportJob, export_job_id)
if not ej:
return None
_sync_export_job_from_queue(ej)
db.flush()
return ej.to_dict()
def list_campaign_export_jobs(campaign_id: str, *, limit: int = 30) -> dict[str, Any]:
with session_scope() as db:
rows = (
db.query(LabelingExportJob)
.filter_by(campaign_id=campaign_id)
.filter(LabelingExportJob.action != "labeling_ml_predict")
.order_by(LabelingExportJob.created_at.desc())
.limit(limit)
.all()
)
for ej in rows:
_sync_export_job_from_queue(ej)
db.flush()
items = [ej.to_dict() for ej in rows]
return {"items": items, "campaign_id": campaign_id}
def list_labeling_assignees() -> dict[str, Any]:
"""可指派为批次负责人的用户(标注相关角色)。"""
role_codes = ("labeler", "internal_labeler", "vendor_labeler", "engineer", "admin")
with session_scope() as db:
users = (
db.query(User)
.filter(User.is_active.is_(True))
.order_by(User.name)
.all()
)
items = []
for u in users:
codes = {r.code for r in (u.roles or [])}
if codes.intersection(role_codes):
items.append({"id": u.id, "name": u.name or f"user-{u.id}", "roles": sorted(codes)})
return {"items": items}
def _find_batch_for_campaign_id(campaign_id: str) -> dict[str, Any] | None:
"""由确定性 campaign_id 反查 pending / registry 批次行。"""
wf = load_wf()
reg = load_dms_registry()
candidates: list[dict[str, Any]] = []
report = get_pending_report(wf)
candidates.extend(report.get("batches") or [])
candidates.extend(_registry_fallback_batches(wf, reg))
for b in candidates:
cid = _campaign_id(
b.get("project") or "dms",
b.get("task") or "",
b.get("mode"),
b.get("batch") or "",
b.get("location") or "inbox",
)
if cid == campaign_id:
return b
return None
def ensure_campaign_record(campaign_id: str) -> None:
"""提交/导出前保证 DB 中有 LabelingCampaign未点「进入标注」时自动创建"""
with session_scope() as db:
if db.get(LabelingCampaign, campaign_id):
return
batch = _find_batch_for_campaign_id(campaign_id)
if not batch:
raise FileNotFoundError("campaign not found")
if batch.get("registry_only"):
raise ValueError("该条目为任务模板占位,无真实 inbox 批次目录,请先送标入湖或从「进入标注」开启真实批次")
open_campaign(
project=batch.get("project") or "dms",
task=batch.get("task") or "",
batch=batch["batch"],
mode=batch.get("mode"),
pack=batch.get("pack"),
location=batch.get("location") or "inbox",
)
def assign_campaign(campaign_id: str, user_id: int | None) -> dict[str, Any]:
now = datetime.now(timezone.utc)
with session_scope() as db:
camp = db.get(LabelingCampaign, campaign_id)
if not camp:
raise FileNotFoundError("campaign not found")
if user_id is None:
camp.assigned_to_user_id = None
camp.assigned_to_name = None
else:
user = db.get(User, user_id)
if not user:
raise ValueError(f"用户不存在: {user_id}")
camp.assigned_to_user_id = user_id
camp.assigned_to_name = user.name
camp.updated_at = now
db.flush()
out = camp.to_dict()
reg = load_dms_registry() if out.get("project") == "dms" else None
return enrich_batch_labels(out, reg)
def submit_campaign(campaign_id: str) -> dict[str, Any]:
ensure_campaign_record(campaign_id)
now = datetime.now(timezone.utc)
with session_scope() as db:
camp = db.get(LabelingCampaign, campaign_id)
if not camp:
raise FileNotFoundError("campaign not found")
camp.status = "in_review"
camp.updated_at = now
db.flush()
out = camp.to_dict()
update_campaign_batch_meta_stage(camp, "in_review")
reg = load_dms_registry() if out.get("project") == "dms" else None
row = enrich_batch_labels(out, reg)
row["stage"] = "in_review"
return row
def trigger_labeling_export(campaign_id: str) -> dict[str, Any]:
row = get_campaign(campaign_id)
if not row:
raise FileNotFoundError("campaign not found")
job = enqueue_job(
"labeling_export",
{
"campaign_id": campaign_id,
"export_default": row.get("export_default"),
"scope_key": row.get("scope_key"),
"batch": row.get("batch"),
},
async_run=True,
)
ej = _record_export_job(campaign_id, "labeling_export", job)
return {"ok": True, "job": job, "export_job": ej, "export_default": row.get("export_default")}