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2 Commits
Author SHA1 Message Date
Harmon fced6f4a7f Add LandSAR cluster data transport 2026-06-26 11:27:05 +08:00
Harmon 8199762d4b Harden asset source scan concurrency 2026-06-26 10:54:12 +08:00
15 changed files with 1701 additions and 54 deletions
+9 -1
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@@ -66,8 +66,9 @@ SBAS_TASK_POOL_ROOT=D:\Task_Pool\SBAS
DATA_DISTRIBUTION_ROOT=D:\Task_Pool\Data_Distribution
GF3_TASK_POOL_ROOT=D:\GaoFen3_Pool\task_pool
SOURCE_PRODUCT_DIRS=D:\LuTan1_Image_Pool_Zip;D:\Sentinel1_Image_Pool_ZIP
ASSET_SCAN_PARSE_WORKERS=4
ASSET_SCAN_PARSE_WORKERS=16
ASSET_SCAN_PARSE_INFLIGHT=64
ASSET_SCAN_PARSE_TIMEOUT_SECONDS=600
ASSET_SCAN_SKIP_UNCHANGED_FAILURES=true
ASSET_SCAN_DB_BATCH_SIZE=50
SENTINEL1_STORAGE_DIRS=
@@ -341,6 +342,13 @@ JOB_WORKER_HEARTBEAT_INTERVAL=5
# Main server only. Comma/semicolon-separated IPv4 addresses or CIDR blocks allowed
# to run LandSAR cluster workers against this PostgreSQL server.
LANDSAR_CLUSTER_ALLOWED_WORKER_IPS=192.168.1.6
# Main server and remote workers must share the same non-empty token for
# /api/cluster input download and result upload.
CLUSTER_SHARED_TOKEN=
CLUSTER_TRANSFER_TIMEOUT_SECONDS=3600
CLUSTER_MATERIALIZE_TEMP_DIR=D:\Task_Pool\_cluster_temp
# Remote LandSAR workers should point this to the main backend URL.
CLUSTER_MAIN_SERVER_URL=
# Empty means the worker can claim all job types. Remote LandSAR nodes should set:
# JOB_WORKER_ALLOWED_TYPES=LANDSAR_CLUSTER_ITEM
JOB_WORKER_ALLOWED_TYPES=
+1 -1
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@@ -25,7 +25,7 @@ VALID_ROLES = {ROLE_ADMIN, ROLE_VIEWER}
SESSION_COOKIE_NAME = settings.AUTH_SESSION_COOKIE_NAME
SESSION_TTL_HOURS = read_int_env("SESSION_TTL_HOURS", 12)
COOKIE_SECURE = read_bool_env("AUTH_COOKIE_SECURE", True)
COOKIE_SECURE = read_bool_env("AUTH_COOKIE_SECURE", False)
COOKIE_SAMESITE = (settings.AUTH_COOKIE_SAMESITE or "lax").strip().lower()
if COOKIE_SAMESITE not in {"lax", "strict", "none"}:
COOKIE_SAMESITE = "lax"
+7 -1
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@@ -238,8 +238,9 @@ class Settings(BaseSettings):
RADAR_GEO_CACHE_VERSION: str = "b2"
RADAR_GEO_CACHE_QUALITY: int = 84
RADAR_PREVIEW_BUILD_ON_DEMAND: bool = True
ASSET_SCAN_PARSE_WORKERS: int = 4
ASSET_SCAN_PARSE_WORKERS: int = 16
ASSET_SCAN_PARSE_INFLIGHT: int = 64
ASSET_SCAN_PARSE_TIMEOUT_SECONDS: int = 600
ASSET_SCAN_SKIP_UNCHANGED_FAILURES: bool = True
ASSET_SCAN_DB_BATCH_SIZE: int = 50
@@ -506,6 +507,11 @@ class Settings(BaseSettings):
"ASSET_SCAN_PARSE_INFLIGHT",
max(self.ASSET_SCAN_PARSE_WORKERS, int(self.ASSET_SCAN_PARSE_INFLIGHT or self.ASSET_SCAN_PARSE_WORKERS)),
)
object.__setattr__(
self,
"ASSET_SCAN_PARSE_TIMEOUT_SECONDS",
max(60, int(self.ASSET_SCAN_PARSE_TIMEOUT_SECONDS or 600)),
)
object.__setattr__(self, "ASSET_SCAN_DB_BATCH_SIZE", max(1, int(self.ASSET_SCAN_DB_BATCH_SIZE or 1)))
if not self.GF3_ARCHIVE_SOURCE_DIRS:
object.__setattr__(
+2
View File
@@ -11,6 +11,7 @@ ensure_project_env_loaded()
from . import database
from .api import router as api_router
from .routers.cluster import router as cluster_router
from .db_maintenance import ensure_database_ready
from .scheduler import scheduler_manager
from .services.health_service import get_health_status
@@ -301,6 +302,7 @@ app.add_middleware(
allow_headers=["*"],
)
app.include_router(cluster_router, prefix="/api")
app.include_router(api_router, prefix="/api")
+282
View File
@@ -0,0 +1,282 @@
"""
Cluster data-transport endpoints for LandSAR distributed processing.
Provides HTTP-based input materialize (download) and result upload
so that remote Windows workers can pull Task_Pool pair data and
push finished products back to the main server without SMB / UNC.
"""
from __future__ import annotations
import os
import shutil
import tempfile
import zipfile
from typing import Optional
from fastapi import (
APIRouter,
Depends,
File,
Form,
Header,
HTTPException,
UploadFile,
)
from fastapi.responses import FileResponse
from starlette.background import BackgroundTask
from sqlalchemy.ext.asyncio import AsyncSession
from ..config import settings
from ..database import get_db
from ..models.orm import DinsarProductionRunItemORM
from ..services.cluster_transport import safe_extract_zip
router = APIRouter()
def _cluster_materialize_temp_dir() -> str:
explicit = str(os.environ.get("CLUSTER_MATERIALIZE_TEMP_DIR") or "").strip()
if not explicit:
explicit = str(
getattr(settings, "CLUSTER_MATERIALIZE_TEMP_DIR", "") or ""
).strip()
if explicit:
return os.path.normpath(explicit)
task_pool = str(getattr(settings, "TASK_POOL_ROOT", "") or "").strip()
if task_pool:
return os.path.normpath(os.path.join(task_pool, "_cluster_temp"))
return os.path.normpath(
os.path.join(
os.path.dirname(__file__), "..", "..", "runtime", "_cluster_temp"
)
)
def _cluster_shared_token() -> str:
return str(os.environ.get("CLUSTER_SHARED_TOKEN") or "").strip()
def _require_cluster_token(
x_cluster_token: Optional[str] = Header(default=None),
) -> None:
expected = _cluster_shared_token()
if not expected:
raise HTTPException(
status_code=503,
detail="CLUSTER_SHARED_TOKEN is not configured.",
)
if x_cluster_token != expected:
raise HTTPException(status_code=403, detail="Invalid cluster token.")
# ---------------------------------------------------------------------------
# Download input package
# ---------------------------------------------------------------------------
@router.get("/cluster/input-package/{item_id}")
async def download_cluster_input_package(
item_id: int,
_cluster_token: None = Depends(_require_cluster_token),
db: AsyncSession = Depends(get_db),
):
"""Package a cluster item's source-task directory as a zip and stream it.
The remote worker calls this when *source_task_dir* does not exist
locally. The zip mirrors the Task_Pool layout:
Task_YYYYMMDD_YYYYMMDD/
master/ ...
slave/ ...
orbit/ ...
pair_metadata.json
"""
item = await db.get(DinsarProductionRunItemORM, int(item_id))
if item is None:
raise HTTPException(status_code=404, detail="Cluster item not found.")
source_dir = os.path.normpath(str(item.source_task_dir or ""))
if not source_dir or not os.path.isdir(source_dir):
raise HTTPException(
status_code=404,
detail=f"Source task directory not found: {source_dir}",
)
task_name = os.path.basename(source_dir)
parent_dir = os.path.dirname(source_dir)
temp_root = _cluster_materialize_temp_dir()
os.makedirs(temp_root, exist_ok=True)
package_root = tempfile.mkdtemp(
prefix=f"cluster_input_{item_id}_",
dir=temp_root,
)
tmp_base = os.path.join(package_root, task_name)
try:
zip_path = shutil.make_archive(
tmp_base,
"zip",
root_dir=parent_dir,
base_dir=task_name,
)
except Exception as exc:
try:
shutil.rmtree(package_root)
except Exception:
pass
raise HTTPException(
status_code=500,
detail=f"Failed to create input package: {exc}",
)
def _cleanup():
try:
if os.path.isdir(package_root):
shutil.rmtree(package_root)
except Exception:
pass
return FileResponse(
path=zip_path,
media_type="application/zip",
filename=f"{task_name}.zip",
background=BackgroundTask(_cleanup),
)
# ---------------------------------------------------------------------------
# Upload result package
# ---------------------------------------------------------------------------
@router.post("/cluster/upload-result/{item_id}")
async def upload_cluster_result(
item_id: int,
run_id: str = Form(...),
run_key: str = Form(...),
result_zip: UploadFile = File(...),
_cluster_token: None = Depends(_require_cluster_token),
db: AsyncSession = Depends(get_db),
):
"""Receive a result zip from a cluster worker and register it in the
D-InSAR catalog.
The zip is extracted under the cluster item's standard
``results_root_dir/runs/<run_key>`` directory and then
*result_catalog_service.publish_from_sources* is called so the product
is immediately visible on the main server.
"""
item = await db.get(DinsarProductionRunItemORM, int(item_id))
if item is None:
raise HTTPException(status_code=404, detail="Cluster item not found.")
normalized_run_id = str(run_id or "").strip()
if normalized_run_id != str(item.run_id or "").strip():
raise HTTPException(
status_code=400,
detail="run_id does not match item.",
)
publish_root = os.path.normpath(
str(getattr(settings, "DINSAR_PRODUCT_DIR", "") or "")
)
if not publish_root or not os.path.isdir(publish_root):
raise HTTPException(
status_code=500,
detail="DINSAR_PRODUCT_DIR is not configured.",
)
normalized_run_key = str(run_key or "").strip()
if not normalized_run_key:
raise HTTPException(status_code=400, detail="run_key is required.")
item_results_root = os.path.normpath(str(item.results_root_dir or ""))
if not item_results_root:
raise HTTPException(
status_code=500,
detail="Cluster item results_root_dir is not configured.",
)
publish_root_abs = os.path.abspath(publish_root)
item_results_root_abs = os.path.abspath(item_results_root)
if item_results_root_abs != publish_root_abs and not item_results_root_abs.startswith(
publish_root_abs + os.sep
):
raise HTTPException(
status_code=400,
detail="Cluster item results_root_dir is outside DINSAR_PRODUCT_DIR.",
)
extract_dir = os.path.join(item_results_root_abs, "runs", normalized_run_key)
os.makedirs(os.path.dirname(extract_dir), exist_ok=True)
extract_parent = os.path.dirname(extract_dir)
os.makedirs(extract_parent, exist_ok=True)
upload_root = tempfile.mkdtemp(
prefix=f"cluster_upload_{item_id}_",
dir=extract_parent,
)
tmp_extract = os.path.join(upload_root, "extract")
tmp_zip = os.path.join(upload_root, "upload.zip")
backup_dir: Optional[str] = None
try:
with open(tmp_zip, "wb") as fh:
while chunk := await result_zip.read(8 * 1024 * 1024): # 8 MiB
fh.write(chunk)
os.makedirs(tmp_extract, exist_ok=True)
with zipfile.ZipFile(tmp_zip, "r") as zf:
safe_extract_zip(zf, tmp_extract)
if os.path.isdir(extract_dir):
backup_dir = f"{extract_dir}._replace_backup"
if os.path.isdir(backup_dir):
shutil.rmtree(backup_dir)
os.replace(extract_dir, backup_dir)
os.replace(tmp_extract, extract_dir)
if backup_dir and os.path.isdir(backup_dir):
shutil.rmtree(backup_dir)
backup_dir = None
except zipfile.BadZipFile:
raise HTTPException(
status_code=400,
detail="Uploaded file is not a valid zip archive.",
)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
except Exception:
if backup_dir and os.path.isdir(backup_dir) and not os.path.exists(extract_dir):
try:
os.replace(backup_dir, extract_dir)
backup_dir = None
except Exception:
pass
raise
finally:
try:
if os.path.isdir(upload_root):
shutil.rmtree(upload_root)
except Exception:
pass
try:
if backup_dir and os.path.isdir(backup_dir):
shutil.rmtree(backup_dir)
except Exception:
pass
# ----- catalog registration ------------------------------------------------
from ..services.result_catalog_service import result_catalog_service as rcs
try:
publish_result = await rcs.publish_from_sources(db, [extract_dir])
processed = int(publish_result.get("processed", 0) or 0)
if processed > 0:
await rcs.rebuild_catalog(db, full_rebuild=True)
return {
"registered": processed > 0,
"processed": processed,
"failed": int(publish_result.get("failed", 0) or 0),
"catalog_path": extract_dir,
}
except Exception as exc:
raise HTTPException(
status_code=500,
detail=f"Catalog registration failed: {exc}",
) from exc
+363 -32
View File
@@ -4,12 +4,14 @@ import asyncio
import gzip
import hashlib
import math
import multiprocessing as mp
import os
import queue
import re
import shutil
import tarfile
import time
import zipfile
from concurrent.futures import FIRST_COMPLETED, ThreadPoolExecutor, wait
from datetime import datetime, timedelta
from pathlib import PurePosixPath
from types import SimpleNamespace
@@ -58,7 +60,7 @@ LT1_ORBIT_MATCH_RULE_VERSION = "lt1_orbit_day_v1"
ASSET_SCAN_LOG_INTERVAL = 100
ASSET_SCAN_DETAILED_PARSE_LOG_LIMIT = 200
ARCHIVE_INTEGRITY_LOG_INTERVAL = 10
DEFAULT_ASSET_SCAN_PARSE_WORKERS = 4
DEFAULT_ASSET_SCAN_PARSE_WORKERS = 16
DEFAULT_ASSET_SCAN_PARSE_INFLIGHT = 64
DEFAULT_ASSET_SCAN_DB_BATCH_SIZE = 50
@@ -1908,6 +1910,269 @@ def _collect_source_assets(root: ManagedRootORM) -> Tuple[List[Dict[str, Any]],
return rows, issues, entry_count
def _source_parse_worker_main(worker_id: int, generation: int, task_queue: Any, result_queue: Any) -> None:
while True:
task = task_queue.get()
if task is None:
return
index = int(task.get("index") or 0)
normalized_path = str(task.get("path") or "")
file_name = os.path.basename(normalized_path)
root = SimpleNamespace(id=int(task.get("root_id") or 0), path=str(task.get("root_path") or ""))
try:
row = _parse_source_entry(normalized_path, root)
result_queue.put(
{
"worker_id": worker_id,
"generation": generation,
"index": index,
"path": normalized_path,
"file_name": file_name,
"row": row,
"error": None,
}
)
except Exception as exc:
result_queue.put(
{
"worker_id": worker_id,
"generation": generation,
"index": index,
"path": normalized_path,
"file_name": file_name,
"row": None,
"error": str(exc),
}
)
def _int_or_default(value: Any, default: int) -> int:
try:
if value is None:
return default
return int(value)
except (TypeError, ValueError):
return default
class _SourceParseProcessPool:
def __init__(
self,
*,
root_id: int,
root_path: str,
workers: int,
timeout_seconds: int,
log_callback: Optional[Callable[[str, str], None]] = None,
) -> None:
self.root_id = int(root_id)
self.root_path = str(root_path)
self.workers = max(1, int(workers or 1))
self.timeout_seconds = max(1, int(timeout_seconds or 1))
self.log_callback = log_callback
self.ctx = mp.get_context("spawn")
self.result_queue = self.ctx.Queue()
self.pending_tasks: List[Dict[str, Any]] = []
self.slots: List[Dict[str, Any]] = [self._new_slot(worker_id=index) for index in range(self.workers)]
def _log(self, level: str, message: str) -> None:
if self.log_callback:
self.log_callback(level, message)
def _new_slot(self, *, worker_id: int, generation: int = 0) -> Dict[str, Any]:
task_queue = self.ctx.Queue(maxsize=1)
process = self.ctx.Process(
target=_source_parse_worker_main,
args=(worker_id, generation, task_queue, self.result_queue),
daemon=True,
)
process.start()
return {
"worker_id": worker_id,
"generation": generation,
"process": process,
"queue": task_queue,
"task": None,
"started_at": None,
}
def _stop_slot(self, slot: Dict[str, Any], *, terminate: bool = False) -> None:
process = slot.get("process")
task_queue = slot.get("queue")
if process is not None:
if process.is_alive():
if terminate:
process.terminate()
else:
try:
task_queue.put_nowait(None)
except Exception:
process.terminate()
process.join(timeout=5)
if process.is_alive():
process.kill()
process.join(timeout=5)
else:
process.join(timeout=0)
if task_queue is not None:
try:
task_queue.cancel_join_thread()
except Exception:
pass
try:
task_queue.close()
except Exception:
pass
slot["task"] = None
slot["started_at"] = None
def close(self) -> None:
for slot in self.slots:
self._stop_slot(slot, terminate=True)
try:
self.result_queue.cancel_join_thread()
except Exception:
pass
try:
self.result_queue.close()
except Exception:
pass
def active_count(self) -> int:
return len(self.pending_tasks) + sum(1 for slot in self.slots if slot.get("task") is not None)
def submit(self, index: int, normalized_path: str) -> None:
task = {
"index": int(index),
"path": normalized_path,
"root_id": self.root_id,
"root_path": self.root_path,
}
self.pending_tasks.append(task)
self._dispatch_available()
def drain(self, *, wait_for_one: bool) -> List[Dict[str, Any]]:
raw_results: List[Dict[str, Any]] = []
accepted_results: List[Dict[str, Any]] = []
self._dispatch_available()
if wait_for_one:
if self.active_count() <= 0:
return self._collect_unhealthy_workers()
try:
result = self.result_queue.get(timeout=0.2)
raw_results.append(result)
except queue.Empty:
pass
while True:
try:
result = self.result_queue.get_nowait()
except queue.Empty:
break
raw_results.append(result)
for result in raw_results:
if self._release_completed_slot(result):
accepted_results.append(result)
accepted_results.extend(self._collect_unhealthy_workers())
self._dispatch_available()
return accepted_results
def _dispatch_available(self) -> None:
for idx, slot in enumerate(list(self.slots)):
if not self.pending_tasks:
return
if slot.get("task") is not None:
continue
process = slot.get("process")
if process is None or not process.is_alive():
worker_id = _int_or_default(slot.get("worker_id"), idx)
generation = _int_or_default(slot.get("generation"), 0)
self._stop_slot(slot, terminate=True)
self.slots[idx] = self._new_slot(worker_id=worker_id, generation=generation + 1)
slot = self.slots[idx]
task = self.pending_tasks.pop(0)
slot["queue"].put(task)
slot["task"] = task
slot["started_at"] = time.monotonic()
def _release_completed_slot(self, result: Dict[str, Any]) -> bool:
result_worker_id = _int_or_default(result.get("worker_id"), -1)
result_generation = _int_or_default(result.get("generation"), -1)
result_index = _int_or_default(result.get("index"), -1)
for slot in self.slots:
if _int_or_default(slot.get("worker_id"), -1) != result_worker_id:
continue
if _int_or_default(slot.get("generation"), -1) != result_generation:
return False
task = slot.get("task")
if task is None or _int_or_default(task.get("index"), -1) != result_index:
return False
slot["task"] = None
slot["started_at"] = None
return True
return False
def _collect_unhealthy_workers(self) -> List[Dict[str, Any]]:
now = time.monotonic()
results: List[Dict[str, Any]] = []
for idx, slot in enumerate(list(self.slots)):
task = slot.get("task")
process = slot.get("process")
worker_id = _int_or_default(slot.get("worker_id"), idx)
generation = _int_or_default(slot.get("generation"), 0)
if task is None:
if process is None or not process.is_alive():
self._stop_slot(slot, terminate=True)
self.slots[idx] = self._new_slot(worker_id=worker_id, generation=generation + 1)
continue
path = str(task.get("path") or "")
file_name = os.path.basename(path)
if process is None or not process.is_alive():
exitcode = getattr(process, "exitcode", None)
self._log(
"WARNING",
f"Source archive metadata parse worker exited unexpectedly (exitcode={exitcode}): {file_name}",
)
self._stop_slot(slot, terminate=True)
self.slots[idx] = self._new_slot(worker_id=worker_id, generation=generation + 1)
results.append(
{
"worker_id": worker_id,
"generation": generation,
"index": _int_or_default(task.get("index"), 0),
"path": path,
"file_name": file_name,
"row": None,
"error": f"parse worker exited unexpectedly (exitcode={exitcode})",
}
)
continue
started_at = slot.get("started_at")
if started_at is None:
continue
elapsed = now - float(started_at)
if elapsed < self.timeout_seconds:
continue
self._log(
"WARNING",
f"Source archive metadata parse timed out after {self.timeout_seconds}s: {file_name}",
)
self._stop_slot(slot, terminate=True)
self.slots[idx] = self._new_slot(worker_id=worker_id, generation=generation + 1)
results.append(
{
"worker_id": worker_id,
"generation": generation,
"index": _int_or_default(task.get("index"), 0),
"path": path,
"file_name": file_name,
"row": None,
"error": f"parse timed out after {self.timeout_seconds}s",
}
)
self._dispatch_available()
return results
def _same_mtime(left: Any, right: Any) -> bool:
if left is None or right is None:
return left is None and right is None
@@ -2012,9 +2277,11 @@ def _collect_source_assets_incremental(
parse_attempts = 0
parse_completed = 0
last_progress_count = 0
parse_workers = max(1, int(parse_workers or 1))
parse_inflight = max(parse_workers, int(parse_inflight or parse_workers))
last_parse_wait_log_at = time.monotonic()
parse_workers = max(1, min(int(parse_workers or 1), 32))
parse_inflight = max(parse_workers, min(int(parse_inflight or parse_workers), parse_workers * 4))
row_batch_size = max(1, int(row_batch_size or 1))
parse_timeout_seconds = max(60, int(getattr(settings, "ASSET_SCAN_PARSE_TIMEOUT_SECONDS", 600) or 600))
def _log(level: str, message: str) -> None:
if log_callback:
@@ -2039,14 +2306,6 @@ def _collect_source_assets_incremental(
pending_rows.clear()
row_batch_callback(batch)
def _parse_one(index: int, normalized_path: str) -> Dict[str, Any]:
file_name = os.path.basename(normalized_path)
try:
row = _parse_source_entry(normalized_path, parse_root)
return {"index": index, "path": normalized_path, "file_name": file_name, "row": row, "error": None}
except Exception as exc:
return {"index": index, "path": normalized_path, "file_name": file_name, "row": None, "error": exc}
def _handle_parse_result(result: Dict[str, Any]) -> None:
nonlocal parse_completed, last_progress_count
parse_completed += 1
@@ -2095,24 +2354,36 @@ def _collect_source_assets_incremental(
last_progress_count = entry_count
_emit_row_batch()
def _drain_completed(pending: set, *, wait_for_one: bool = False) -> set:
if not pending:
return pending
timeout = None if wait_for_one else 0
done, remaining = wait(pending, timeout=timeout, return_when=FIRST_COMPLETED)
for future in done:
_handle_parse_result(future.result())
return remaining
_log(
"INFO",
"Source root discovery started: "
f"{root.path} (workers={parse_workers}, inflight={parse_inflight}, "
f"db_batch_size={row_batch_size}, skip_unchanged_failures={skip_unchanged_failures})",
f"db_batch_size={row_batch_size}, parse_timeout={parse_timeout_seconds}s, "
f"skip_unchanged_failures={skip_unchanged_failures})",
)
parse_root = SimpleNamespace(id=root.id, path=root.path)
with ThreadPoolExecutor(max_workers=parse_workers, thread_name_prefix="asset-parse") as executor:
pending = set()
parse_pool = _SourceParseProcessPool(
root_id=int(root.id or 0),
root_path=root.path,
workers=parse_workers,
timeout_seconds=parse_timeout_seconds,
log_callback=_log,
)
def _log_parse_wait_if_needed() -> None:
nonlocal last_parse_wait_log_at
now = time.monotonic()
if now - last_parse_wait_log_at < 30:
return
_log(
"INFO",
"Source archive metadata parsing in progress: "
f"pending={len(pending_indices)}, active_or_queued={parse_pool.active_count()}, "
f"completed={parse_completed}/{parse_attempts}, timeout={parse_timeout_seconds}s",
)
last_parse_wait_log_at = now
try:
pending_indices: set[int] = set()
for path in _iter_source_candidates(root.path):
entry_count += 1
normalized_path = _normalize_path(path)
@@ -2156,12 +2427,27 @@ def _collect_source_assets_incremental(
f"{file_name} (changed/new={parse_attempts}, completed={parse_completed}, "
f"workers={parse_workers}, skipped={skipped_unchanged}, issue={len(issues)})"
)
pending.add(executor.submit(_parse_one, parse_attempts, normalized_path))
while len(pending) >= parse_inflight:
pending = _drain_completed(pending, wait_for_one=True)
pending = _drain_completed(pending, wait_for_one=False)
while pending:
pending = _drain_completed(pending, wait_for_one=True)
parse_pool.submit(parse_attempts, normalized_path)
pending_indices.add(parse_attempts)
while parse_pool.active_count() >= parse_inflight:
for result in parse_pool.drain(wait_for_one=True):
pending_indices.discard(int(result.get("index") or 0))
_handle_parse_result(result)
_log_parse_wait_if_needed()
for result in parse_pool.drain(wait_for_one=False):
pending_indices.discard(int(result.get("index") or 0))
_handle_parse_result(result)
while pending_indices:
drained = parse_pool.drain(wait_for_one=True)
if not drained:
_log_parse_wait_if_needed()
continue
for result in drained:
pending_indices.discard(int(result.get("index") or 0))
_handle_parse_result(result)
_log_parse_wait_if_needed()
finally:
parse_pool.close()
_emit_row_batch(force=True)
_log(
"INFO",
@@ -2775,9 +3061,20 @@ class AssetInventoryService:
}
await self._progress(task_id, "Asset inventory scan completed", 100)
return summary
except Exception:
except Exception as exc:
if db is not None:
await db.rollback()
if "roots" in locals():
try:
await self._fail_running_states_for_roots(
db,
roots,
inventory_types=inventory_types,
error=str(exc),
)
await db.commit()
except Exception:
await db.rollback()
raise
finally:
if generated_session and db is not None:
@@ -4019,6 +4316,40 @@ class AssetInventoryService:
state.updated_at = _utcnow()
db.add(state)
async def _fail_running_states_for_roots(
self,
db: AsyncSession,
roots: Sequence[ManagedRootORM],
*,
inventory_types: Optional[Sequence[str]],
error: str,
) -> None:
now = _utcnow()
values = {
"status": "FAILED",
"last_scan_finished_at": now,
"last_error": str(error or "Asset inventory scan failed"),
"needs_rescan": True,
"updated_at": now,
}
for root in roots:
inventory_type: Optional[str] = None
if root.root_role == "source_product_pool":
inventory_type = "source_product"
elif root.root_role == "orbit_asset_pool":
inventory_type = "orbit_asset"
if not inventory_type or not self._scan_includes_type(inventory_types, inventory_type):
continue
await db.execute(
update(AssetInventoryStateORM)
.where(
AssetInventoryStateORM.root_ref_id == root.id,
AssetInventoryStateORM.inventory_type == inventory_type,
AssetInventoryStateORM.status == "RUNNING",
)
.values(**values)
)
async def _replace_root_issues(
self,
db: AsyncSession,
+290
View File
@@ -0,0 +1,290 @@
"""
Cluster data-transport helpers for LandSAR distributed processing.
Used by _handle_landsar_cluster_item in job_handlers.py to pull input
data from the main server and push results back via HTTP.
"""
from __future__ import annotations
import io
import json
import os
import shutil
import tempfile
import urllib.error
import urllib.parse
import urllib.request
import zipfile
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from ..models.orm import DinsarProductionRunItemORM, DinsarProductionRunORM
def _read_cluster_env(name: str) -> str:
return str(os.environ.get(name) or "").strip()
def _cluster_transfer_timeout() -> int:
try:
from ..config import read_int_env
return read_int_env(
"CLUSTER_TRANSFER_TIMEOUT_SECONDS",
3600,
minimum=60,
maximum=86400,
)
except Exception:
return 3600
def _cluster_request_headers() -> dict[str, str]:
token = _read_cluster_env("CLUSTER_SHARED_TOKEN")
if not token:
raise RuntimeError("CLUSTER_SHARED_TOKEN is not configured.")
return {"X-Cluster-Token": token}
def safe_extract_zip(zf: zipfile.ZipFile, target_dir: str) -> None:
"""Extract a zip after verifying all members stay inside target_dir."""
target_root = os.path.abspath(target_dir)
for member in zf.infolist():
member_name = member.filename.replace("\\", "/")
if (
not member_name
or member_name.startswith("/")
or os.path.splitdrive(member_name)[0]
or member_name.startswith("../")
or "/../" in f"/{member_name}/"
):
raise ValueError(f"Unsafe zip member path: {member.filename}")
destination = os.path.abspath(os.path.join(target_root, member_name))
if destination != target_root and not destination.startswith(
target_root + os.sep
):
raise ValueError(f"Unsafe zip member path: {member.filename}")
zf.extractall(target_root)
def _resolve_cluster_server_url() -> str:
"""Return the main-server HTTP base URL for cluster data transport.
Prefers CLUSTER_MAIN_SERVER_URL; falls back to the DATABASE_URL host.
Returns ``http://127.0.0.1`` when nothing is configured (main-server /
local worker).
"""
from ..config import settings
explicit = _read_cluster_env("CLUSTER_MAIN_SERVER_URL") or str(
getattr(settings, "CLUSTER_MAIN_SERVER_URL", "") or ""
).strip()
if explicit:
return explicit.rstrip("/")
db_url = str(getattr(settings, "DATABASE_URL", "") or "")
if "@" in db_url:
host_part = db_url.split("@")[1].split("/")[0].split(":")[0]
if host_part and host_part not in {"localhost", "127.0.0.1"}:
return f"http://{host_part}"
return "http://127.0.0.1"
def _is_remote_worker() -> bool:
"""True when this process is configured to talk to a remote main server."""
url = _resolve_cluster_server_url()
parsed = urllib.parse.urlparse(url)
host = (parsed.hostname or "").strip().lower()
return host not in {"", "127.0.0.1", "localhost"}
async def materialize_cluster_input(
item: DinsarProductionRunItemORM,
source_task_dir: str,
task_id: str,
) -> None:
"""Download and extract the input data for a cluster item.
Calls ``GET /api/cluster/input-package/{item_id}`` on the main
server, retrieves a zip containing the Task_Pool directory tree,
and extracts it so that *source_task_dir* exists locally.
"""
from .task_service import task_service
server_url = _resolve_cluster_server_url()
download_url = f"{server_url}/api/cluster/input-package/{item.id}"
parent_dir = os.path.dirname(source_task_dir)
task_name = os.path.basename(source_task_dir)
await task_service.add_log(
task_id,
"INFO",
f"[cluster] Downloading input data from {download_url} ...",
)
tmp_zip = os.path.join(
tempfile.gettempdir(),
f"cluster_input_{item.id}_{task_name}.zip",
)
try:
req = urllib.request.Request(
download_url,
headers=_cluster_request_headers(),
method="GET",
)
with urllib.request.urlopen(req, timeout=_cluster_transfer_timeout()) as resp:
with open(tmp_zip, "wb") as fh:
shutil.copyfileobj(resp, fh, 8 * 1024 * 1024)
os.makedirs(parent_dir, exist_ok=True)
with zipfile.ZipFile(tmp_zip, "r") as zf:
safe_extract_zip(zf, parent_dir)
if not os.path.isdir(source_task_dir):
raise RuntimeError(
f"Extraction did not create expected directory: {source_task_dir}"
)
await task_service.add_log(
task_id,
"INFO",
f"[cluster] Input data ready: {source_task_dir}",
)
except urllib.error.HTTPError as exc:
body_text = ""
try:
body_text = exc.read().decode("utf-8", errors="replace")
except Exception:
pass
await task_service.add_log(
task_id,
"WARNING",
f"[cluster] Input download HTTP {exc.code}: {body_text[:300]}",
)
raise RuntimeError(
f"Input download failed HTTP {exc.code}: {body_text[:200]}"
) from exc
finally:
try:
os.unlink(tmp_zip)
except Exception:
pass
async def upload_cluster_result(
item: DinsarProductionRunItemORM,
run: DinsarProductionRunORM,
managed_run_dir: str,
run_key: str,
task_id: str,
) -> bool:
"""Package the managed run directory and upload it to the main server.
Returns ``True`` when the main server accepted the upload and
registered the result in the D-InSAR catalog.
"""
from .task_service import task_service
server_url = _resolve_cluster_server_url()
await task_service.add_log(
task_id,
"INFO",
"[cluster] Packaging results for upload ...",
)
run_dir_name = os.path.basename(os.path.normpath(managed_run_dir))
tmp_zip = os.path.join(
tempfile.gettempdir(),
f"cluster_result_{item.id}.zip",
)
try:
parent = os.path.dirname(managed_run_dir)
shutil.make_archive(
tmp_zip.replace(".zip", ""),
"zip",
root_dir=parent,
base_dir=run_dir_name,
)
await task_service.add_log(
task_id,
"INFO",
"[cluster] Uploading results to main server ...",
)
boundary = "----ClusterUploadBoundary"
body = io.BytesIO()
def _write_field(name, filename, content_type, data):
body.write(f"--{boundary}\r\n".encode("utf-8"))
if filename:
body.write(
f'Content-Disposition: form-data; name="{name}"; '
f'filename="{filename}"\r\n'.encode("utf-8")
)
body.write(f"Content-Type: {content_type}\r\n".encode("utf-8"))
else:
body.write(
f'Content-Disposition: form-data; name="{name}"\r\n'.encode(
"utf-8"
)
)
body.write(b"\r\n")
body.write(data)
body.write(b"\r\n")
_write_field("run_id", "", "text/plain", (run.run_id or "").encode("utf-8"))
_write_field("run_key", "", "text/plain", str(run_key or "").encode("utf-8"))
with open(tmp_zip, "rb") as fh:
_write_field(
"result_zip",
os.path.basename(tmp_zip),
"application/zip",
fh.read(),
)
body.write(f"--{boundary}--\r\n".encode("utf-8"))
upload_url = f"{server_url}/api/cluster/upload-result/{item.id}"
req = urllib.request.Request(
upload_url,
data=body.getvalue(),
headers={
"Content-Type": f"multipart/form-data; boundary={boundary}",
**_cluster_request_headers(),
},
method="POST",
)
with urllib.request.urlopen(req, timeout=_cluster_transfer_timeout()) as resp:
result = json.loads(resp.read().decode("utf-8"))
await task_service.add_log(
task_id,
"INFO",
f"[cluster] Results uploaded: "
f"registered={result.get('registered', False)} "
f"processed={result.get('processed', 0)}",
)
return bool(result.get("registered", False))
except urllib.error.HTTPError as exc:
body_text = ""
try:
body_text = exc.read().decode("utf-8", errors="replace")
except Exception:
pass
await task_service.add_log(
task_id,
"WARNING",
f"[cluster] Upload HTTP {exc.code}: {body_text[:300]}",
)
raise RuntimeError(
f"Upload failed HTTP {exc.code}: {body_text[:200]}"
) from exc
finally:
try:
if os.path.isfile(tmp_zip):
os.unlink(tmp_zip)
except Exception:
pass
+48
View File
@@ -20,6 +20,7 @@ from ..models import (
SARSceneGeoORM,
SceneOrbitBindingORM,
SourceProductAssetORM,
SystemTaskORM,
SystemWorkerHeartbeatORM,
)
from ..idl_service import get_idl_status
@@ -1434,6 +1435,50 @@ async def _check_wsl_runtime() -> Dict[str, Any]:
return status
STUCK_TASK_THRESHOLD_SECONDS = read_int_env(
"HEALTH_STUCK_TASK_THRESHOLD_SECONDS",
3600,
minimum=300,
maximum=86400,
)
async def _check_stuck_tasks() -> Dict[str, Any]:
"""Detect RUNNING tasks whose updated_at has not changed for too long."""
from datetime import timedelta
from ..database import AsyncSessionLocal
async with AsyncSessionLocal() as db:
now = datetime.utcnow()
cutoff = now - timedelta(seconds=STUCK_TASK_THRESHOLD_SECONDS)
result = await db.execute(
select(SystemTaskORM).where(
SystemTaskORM.status == "RUNNING",
SystemTaskORM.updated_at < cutoff,
).order_by(SystemTaskORM.updated_at.asc())
)
stuck = result.scalars().all()
items = []
for task in stuck:
minutes_stuck = max(0.0, (now - task.updated_at).total_seconds()) / 60.0
items.append({
"task_id": task.task_id,
"task_type": task.task_type,
"task_name": task.task_name,
"progress": task.progress,
"message": task.message,
"stuck_minutes": round(minutes_stuck, 1),
"started_at": task.started_at.isoformat() if task.started_at else None,
"last_updated_at": task.updated_at.isoformat() if task.updated_at else None,
})
return {
"ok": len(items) == 0,
"stuck_count": len(items),
"threshold_seconds": STUCK_TASK_THRESHOLD_SECONDS,
"stuck_tasks": items,
}
async def get_health_status(
include_external: bool = True,
include_details: bool = False,
@@ -1464,6 +1509,7 @@ async def get_health_status(
asset_inventory_status = await _check_asset_inventory()
wsl_runtime_status = await _check_wsl_runtime()
pairing_system_status = await pairing_state_service.get_pairing_system_status()
stuck_task_status = await _check_stuck_tasks()
engines_status = {"ok": None, "overall": None, "engines": []}
if full or include_details:
engines_status = await _check_dinsar_engines()
@@ -1482,6 +1528,7 @@ async def get_health_status(
asset_inventory_status.get("ok"),
wsl_runtime_status.get("ok"),
pairing_system_status.get("ok"),
stuck_task_status.get("ok"),
(not settings.TIMESERIES_ENABLED) or timeseries_result_catalog_status.get("ok"),
(not (settings.GAMMA_SBAS_ENABLED or settings.LANDSAR_SBAS_ENABLED))
or sbas_insar_result_catalog_status.get("ok"),
@@ -1511,6 +1558,7 @@ async def get_health_status(
"asset_inventory": asset_inventory_status,
"wsl_runtime": wsl_runtime_status,
"pairing_system": pairing_system_status,
"stuck_tasks": stuck_task_status,
"idl": {
"ok": idl_ok,
"status": idl_status,
+52 -19
View File
@@ -23,6 +23,11 @@ from ..models import SystemJobORM, DinsarResultORM, HazardPointORM, DinsarTaskIt
from ..scheduler import scan_data_job
from .data_service import data_service
from .asset_inventory_service import asset_inventory_service
from .cluster_transport import (
_is_remote_worker,
materialize_cluster_input,
upload_cluster_result,
)
from .dinsar_compat_service import dinsar_compat_service
from .dinsar_naming import build_run_key
from .dinsar_production_service import dinsar_production_service
@@ -156,6 +161,22 @@ def _normalize_positive_int(value: Any) -> Optional[int]:
return parsed if parsed > 0 else None
def _cluster_source_task_dir_ready(path: str) -> bool:
if not path or not os.path.isdir(path):
return False
for child_name in ("master", "slave"):
child_dir = os.path.join(path, child_name)
if not os.path.isdir(child_dir):
return False
try:
with os.scandir(child_dir) as entries:
if not any(entries):
return False
except OSError:
return False
return True
def _dedupe_existing_dirs(paths: Any) -> List[str]:
ordered: List[str] = []
for raw_path in paths or []:
@@ -3254,6 +3275,10 @@ async def _handle_landsar_cluster_item(job: SystemJobORM) -> None:
raise ValueError(f"LandSAR cluster item not found: {item_id}")
await db.refresh(item)
source_task_dir = os.path.normpath(str(item.source_task_dir or ""))
if source_task_dir and not _cluster_source_task_dir_ready(source_task_dir):
await materialize_cluster_input(item, source_task_dir, job.task_id)
item_status = str(item.status or "").strip().upper()
if item_status in {"COMPLETED", "FAILED", "SKIPPED", "CANCELLED"}:
await dinsar_production_service.finalize_cluster_run_if_complete(run, db=db)
@@ -3491,26 +3516,34 @@ async def _handle_landsar_cluster_item(job: SystemJobORM) -> None:
db=db,
)
try:
publish_result = await result_catalog_service.publish_from_sources(db, [managed_run_dir])
processed_count = int(publish_result.get("processed", 0) or 0)
failed_count = int(publish_result.get("failed", 0) or 0)
if processed_count > 0:
await result_catalog_service.rebuild_catalog(db, full_rebuild=True)
if processed_count != 1 or failed_count != 0:
raise RuntimeError(f"expected processed=1 failed=0, got processed={processed_count} failed={failed_count}")
await task_service.add_log(
job.task_id,
"INFO",
f"[cluster {item_index}/{total_items}] Published {item_label}",
)
except Exception as exc:
publish_error = str(exc)
await task_service.add_log(
job.task_id,
"WARNING",
f"[cluster {item_index}/{total_items}] Result catalog publish failed for {item_label}: {publish_error}",
# ---- Post-flight: upload or local publish ----
if _is_remote_worker():
upload_success = await upload_cluster_result(
item, run, managed_run_dir, run_key, job.task_id,
)
if not upload_success:
raise RuntimeError("Cluster result upload failed or not registered.")
else:
try:
publish_result = await result_catalog_service.publish_from_sources(db, [managed_run_dir])
processed_count = int(publish_result.get("processed", 0) or 0)
failed_count = int(publish_result.get("failed", 0) or 0)
if processed_count > 0:
await result_catalog_service.rebuild_catalog(db, full_rebuild=True)
if processed_count != 1 or failed_count != 0:
raise RuntimeError(f"expected processed=1 failed=0, got processed={processed_count} failed={failed_count}")
await task_service.add_log(
job.task_id,
"INFO",
f"[cluster {item_index}/{total_items}] Published {item_label}",
)
except Exception as exc:
publish_error = str(exc)
await task_service.add_log(
job.task_id,
"WARNING",
f"[cluster {item_index}/{total_items}] Result catalog publish failed for {item_label}: {publish_error}",
)
await task_service.add_log(
job.task_id,
+21
View File
@@ -5,3 +5,24 @@ JOB_WORKER_ALLOWED_TYPES=LANDSAR_CLUSTER_ITEM
JOB_WORKER_CONCURRENCY=1
JOB_WORKER_POLL_INTERVAL=1.0
LANDSAR_CLUSTER_WORKER_ID=
CLUSTER_MAIN_SERVER_URL=http://192.168.1.62
CLUSTER_SHARED_TOKEN=
CLUSTER_TRANSFER_TIMEOUT_SECONDS=3600
PYTHON_PATH=C:\ProgramData\anaconda3\envs\InSAR\python.exe
LANDSAR_ENABLED=true
LANDSAR_HOME=E:\LandSAR
LANDSAR_EXTRA_HOME=D:\Code\Insar_management_system_v2\third_party\LandSAR
LANDSAR_CONSOLE_EXE=E:\LandSAR\InSAR_Console.exe
LANDSAR_WORK_ROOT=E:\LandSAR_Work
LANDSAR_DEM_PATH=E:\DEM\SRTMDEM_RSP_SARscape_global_int16.tif
LANDSAR_LICENSE_MODE=netVersion
LANDSAR_LICENSE_HOST=127.0.0.1
LANDSAR_LICENSE_PORT=6666
LANDSAR_CONFIG_ROW=netVersion,zh,127.0.0.1,6666
LANDSAR_CONFIG_AUTO_WRITE=true
LANDSAR_AUTH_SERVER_EXE=D:\Code\Insar_management_system_v2\third_party\LandSAR\tools\_portable_release\LandSAR_auth_tools_win64\landsar_net_auth_server.exe
LANDSAR_AUTH_SERVER_AUTO_START=true
LANDSAR_AUTH_SERVER_HOST=127.0.0.1
LANDSAR_AUTH_SERVER_PORT=6666
LANDSAR_DINSAR_TIMEOUT_SECONDS=43200
+4
View File
@@ -37,10 +37,14 @@
LandSAR D-InSAR/SBAS 鐨勫叏鐞?DEM 涓€娆℃€?Int16 鏍囧噯鍖栥€佸尯鍩熻鍓?tif銆佺敓浜ч厤缃拰 guardrail 绾﹀畾銆?
- [LANDSAR_CLUSTER_WORKER_DEPLOYMENT_20260624.md](LANDSAR_CLUSTER_WORKER_DEPLOYMENT_20260624.md)
LandSAR D-InSAR 集群 worker 的队列分片设计、主服务器 IP 白名单、远端 Windows 节点 192.168.1.6 部署和运行约束。
- [LANDSAR_CLUSTER_DATA_TRANSPORT_DESIGN_20260625.md](LANDSAR_CLUSTER_DATA_TRANSPORT_DESIGN_20260625.md)
LandSAR 集群数据搬运(HTTP Task_Pool 下载 + 结果回传)、Windows 集群运维(Task Scheduler 开机自启 + 心跳监控)。
- [UNC_SOURCE_ARCHIVE_AND_MATERIALIZE_DESIGN_20260615.md](UNC_SOURCE_ARCHIVE_AND_MATERIALIZE_DESIGN_20260615.md)
LT-1/Sentinel-1 鏈湴婧愬帇缂╁寘绠$悊銆佸寘鍐?XML/manifest 璧勪骇鍖栥€佹湰鍦?Task_Pool materialize锛屼互鍙?UNC 閫€鍑哄悗鐨勬湰鏈洪儴缃茶竟鐣屻€?
- [SOURCE_ARCHIVE_INTEGRITY_AUDIT_20260620.md](SOURCE_ARCHIVE_INTEGRITY_AUDIT_20260620.md)
LT-1/Sentinel-1 婧愬帇缂╁寘瀹屾暣鎬у璁$殑鐙珛浠诲姟銆佸閲忚涔夈€佹暟鎹簱瀛楁鍜岄棶棰樼櫥璁拌鍒欍€?
- [SOURCE_ORBIT_ASSET_SCAN_OPERATIONS_20260626.md](SOURCE_ORBIT_ASSET_SCAN_OPERATIONS_20260626.md)
LT-1/Sentinel-1 source/orbit asset scan operations: incremental filtering, parser process isolation, concurrency defaults, timeout recovery, and orbit binding semantics.
- [DINSAR_PRODUCTION_CORES_OVERVIEW.md](DINSAR_PRODUCTION_CORES_OVERVIEW.md)
鏃х増 ENVI/SARscape銆両SCE2銆丟amma/PyINT D-InSAR 鐢熶骇鏍稿績璇存槑銆侷SCE2 鐩稿叧鍐呭浠呬綔鍘嗗彶鑳屾櫙銆?
- [SBAS_INSAR_CURRENT_WORKFLOW.md](SBAS_INSAR_CURRENT_WORKFLOW.md)
@@ -0,0 +1,235 @@
# LandSAR 集群数据搬运与运维设计(2026-06-25)
## 背景
[LANDSAR_CLUSTER_WORKER_DEPLOYMENT_20260624.md](LANDSAR_CLUSTER_WORKER_DEPLOYMENT_20260624.md) 已完成集群调度骨架:主服务器提交 LandSAR 集群任务 → 按 pair 拆分为 `LANDSAR_CLUSTER_ITEM` → 本机或远端 worker 通过 DB 队列领取执行。
该文档留下了两个明确缺口:
1. **数据搬运**:远端 worker 执行 `engine.run()` 时读取 `item.source_task_dir`(如 `D:\Task_Pool\DInSAR\Task_20250601_20250612\master`),该路径在远端不存在。
2. **结果回传**:远端 worker 处理完成后,标准产品包在远端本地磁盘,不会自动进入主服务器 D-InSAR catalog。
本文档定义这两个能力的设计,以及 Windows 集群运维方案。
## 设计目标
- 不依赖 Windows 文件共享(SMB)、映射盘符、UNC 路径
- 不要求主服务器和 worker 共用盘符或路径结构
- Worker 节点可以动态增减,配置简单
- 复用现有 `SOURCE_PRODUCT_DIRS` 压缩包源池和 `TASK_POOL_ROOT` 体系
- 传输失败利用队列系统自带的重试机制
## 架构总览
```
主服务器 (192.168.1.62) 远端 Worker (192.168.1.6 / .7 / ...)
════════════════════════ ═══════════════════════════════════
[前端] 提交集群任务
[Router] POST /landsar-cluster/run
[Service] create_landsar_cluster_run()
│ 扫描 Task_* → 为每个 pair 创建
│ DinsarProductionRunItemORM +
│ LANDSAR_CLUSTER_ITEM 队列任务
[system_jobs 表] ◄─────────── claim_next_job ────── [run_landsar_cluster_worker.py]
┌────▼──────────────────┐
│ 检查 source_task_dir │
│ 本地是否存在 │
├────有─────────────────┤
│ → 跳到 LandSAR 执行 │
├────无─────────────────┤
│ 1. GET /api/cluster/ │
│ input-package/ │
│ 2. 解包到本地路径 │
└───────────────────────┘
LandSAR engine.run()
┌───────────────────────┐
│ POST /api/cluster/ │
│ upload-result/ │
│ → 主服务器写入结果目录 │
│ → catalog 登记 │
└───────────────────────┘
```
## 数据搬运详细设计
### 阶段 1: Pre-flight 输入数据下载
**触发时机**`_handle_landsar_cluster_item` 执行 `engine.run()` 之前。
**Worker 端流程**
1. 读取 `item.source_task_dir`,检查本地目录是否存在且包含 `master/``slave/``pair_metadata.json`
2. 若无 → 调用 `GET /api/cluster/input-package/{item_id}`
3. Worker 请求头携带 `X-Cluster-Token`,主服务器校验 `CLUSTER_SHARED_TOKEN`
4. 主服务器读取 `item.source_task_dir` 指向的现有 Task_Pool 目录
5. 将该 Task_Pool 目录打成 zip 流式返回给 worker
6. Worker 解包到 `item.source_task_dir`(保持与主服务器一致的路径结构)
7. Worker 对 zip 成员路径做目录逃逸校验,并校验解包后的 `master/``slave/` 目录可用
**主服务器新增 API**
```
GET /api/cluster/input-package/{item_id}
Header: X-Cluster-Token: <CLUSTER_SHARED_TOKEN>
Response: application/zip (streaming)
内容结构:
Task_YYYYMMDD_YYYYMMDD/
master/
<源文件...>
slave/
<源文件...>
orbit/
<精轨文件...>
pair_metadata.json
```
**当前实现边界**:主服务器不在传输接口里重新从 `SOURCE_PRODUCT_DIRS` 解包源压缩包;传输接口只打包已经由 Task_Pool 准备流程生成的 `item.source_task_dir`。如果主服务器上的 `source_task_dir` 不存在,接口返回 404,队列重试会保留失败信息。
### 阶段 2: Post-flight 结果上传
**触发时机**LandSAR 执行成功、execution manifest 构建完成后。
**Worker 端流程**
1. LandSAR 完成后,收集标准产品包文件列表(从 `task_result.source_files` 和 manifest 获取)
2. 调用 `POST /api/cluster/upload-result/{item_id}`
3. 以 multipart 或流式上传产品包(含 primary file、auxiliary files、metadata
4. 主服务器接收后写入该 item 的标准目录 `results_root_dir\runs\<run_key>`
5. 触发 catalog 登记(复用现有 `result_catalog_service.bootstrap` 或增量登记)
**主服务器新增 API**
```
POST /api/cluster/upload-result/{item_id}
Header: X-Cluster-Token: <CLUSTER_SHARED_TOKEN>
Body: multipart/form-data
- result_zip: managed run directory zip
- run_id: 集群 run ID
- run_key: 当前执行 run key
Response: { "registered": true, "processed": 1, "failed": 0, "catalog_path": "..." }
```
**上传后处理**
1. 校验文件完整性(与 manifest 对比)
2. 写入 `D:\production_results\dinsar\<engine_code>\<profile>\<task_name>\`
3. 调用 `result_catalog_service` 增量登记
4. 更新 `DinsarProductionExecutionORM` 指向最终结果路径
5. 返回登记结果给 worker
### 错误处理与重试
- 下载失败:worker 端抛异常 → `job_queue_service.mark_failed` → 按 `max_attempts` 自动重试
- 上传失败:同上,LandSAR 已完成的中间结果在 worker 本地保留(下次重试跳过 LandSAR,直接上传)
- 主服务器端打包失败:返回 500 + 错误详情,worker 捕获后走重试
- 超时控制:复用 `LANDSAR_DINSAR_TIMEOUT_SECONDS`,传输阶段额外设 `CLUSTER_TRANSFER_TIMEOUT_SECONDS`(默认 3600
## Windows 集群运维设计
### Worker 开机自启
每个 worker 节点配置一条 **Windows Task Scheduler** 任务:
```powershell
# 创建计划任务(以管理员身份运行)
$action = New-ScheduledTaskAction -Execute "powershell.exe" `
-Argument "-NoProfile -ExecutionPolicy Bypass -File D:\Code\Insar_management_system_v2\scripts\start_landsar_cluster_worker.ps1 -Background"
$trigger = New-ScheduledTaskTrigger -AtStartup
$settings = New-ScheduledTaskSettingsSet -RestartCount 3 -RestartInterval (New-TimeSpan -Minutes 1) `
-AllowStartIfOnBatteries -DontStopIfGoingOnBatteries
Register-ScheduledTask -TaskName "InSAR_LandSAR_Cluster_Worker" `
-Action $action -Trigger $trigger -Settings $settings `
-RunLevel Highest -Description "LandSAR 集群 Worker 常驻进程"
```
关键设置:
- 触发器:系统启动时
- 失败重试:3 次,间隔 1 分钟
- 运行级别:最高权限
- 不因电池模式停止(针对笔记本)
### Worker 监控
Worker 进程已内建心跳机制(`_touch_worker`),每隔 `JOB_WORKER_HEARTBEAT_INTERVAL` 秒向 `system_worker_heartbeats` 表写入心跳。主服务器健康检查页面可以展示:
- 各 worker 的 hostname / PID / worker_id
- 最后心跳时间
- 当前正在处理的 job 数量
- 历史完成/失败统计
### 代码同步
远端 worker 建议通过 Git 同步代码:
```powershell
# 在远端 192.168.1.6 上
cd D:\Code\Insar_management_system_v2
git fetch origin
git checkout <branch>
```
`.env` 文件不在 Git 中,需手动维护。远端 `.env``DATABASE_URL` 指向主服务器,LandSAR 路径指向远端本地。
## 配置新增项
主服务器 `.env` 新增:
```env
# 集群传输配置
CLUSTER_SHARED_TOKEN=<same-long-random-token-on-main-and-workers>
CLUSTER_TRANSFER_TIMEOUT_SECONDS=3600
CLUSTER_MATERIALIZE_TEMP_DIR=D:\Task_Pool\_cluster_temp
```
Worker 端 `.env` 新增(或保持现有模板字段):
```env
# 集群 worker 主服务器地址
CLUSTER_MAIN_SERVER_URL=http://192.168.1.62
CLUSTER_SHARED_TOKEN=<same-long-random-token-on-main-and-workers>
CLUSTER_TRANSFER_TIMEOUT_SECONDS=3600
```
`CLUSTER_MAIN_SERVER_URL` 用于 worker 构造下载/上传 API 的完整 URL。未配置时默认使用 `DATABASE_URL` 中的 host 推断。
`CLUSTER_SHARED_TOKEN` 是集群传输接口的专用共享密钥,主服务器和所有远端 worker 必须一致且非空;未配置时 `/api/cluster/...` 接口返回 503。
## 实现路线图
| 阶段 | 内容 | 依赖 |
| --- | --- | --- |
| 1 | 主服务器 `GET /api/cluster/input-package/{item_id}` | Task_Pool `source_task_dir` |
| 2 | Worker handler 增加 pre-flight download + extract | 阶段 1 |
| 3 | 主服务器 `POST /api/cluster/upload-result/{item_id}` | `result_catalog_service` |
| 4 | Worker handler 增加 post-flight upload | 阶段 3 |
| 5 | 端到端测试(主服务器 + 远端 .6) | 阶段 1-4 |
| 6 | Windows Task Scheduler 开机自启配置 | 阶段 5 |
## 当前状态(2026-06-26
- [x] 集群调度骨架(提交 → 拆 item → DB 队列 → worker 领取 → LandSAR 执行)
- [x] Worker 入口脚本 + 启动/停止脚本
- [x] Worker 心跳上报
- [x] 本机集群模式验证通过(`SameSite=lax` Cookie 修复后)
- [x] 数据搬运 pre-flightHTTP 下载 Task_Pool zip + 安全解压)
- [x] 结果上传 post-flightHTTP 上传结果 zip + catalog 登记)
- [x] 集群传输接口 `CLUSTER_SHARED_TOKEN` 鉴权
- [ ] 远端 .6 端到端测试
- [ ] Worker 开机自启
## 相关文档
- [LANDSAR_CLUSTER_WORKER_DEPLOYMENT_20260624.md](LANDSAR_CLUSTER_WORKER_DEPLOYMENT_20260624.md) — 集群调度骨架与部署记录
- [LANDSAR_DEM_PREPARATION_CONTRACT_20260618.md](LANDSAR_DEM_PREPARATION_CONTRACT_20260618.md) — LandSAR DEM 准备约定
- [THREE_SENSOR_LOCAL_PRODUCTION_CONTRACT_20260616.md](THREE_SENSOR_LOCAL_PRODUCTION_CONTRACT_20260616.md) — 三数据本机生产约定
- [DINSAR_TASK_POOL_THREE_ENGINE_REFACTOR_20260614.md](DINSAR_TASK_POOL_THREE_ENGINE_REFACTOR_20260614.md) — Task_Pool 与三引擎 refactor
@@ -0,0 +1,69 @@
# Source And Orbit Asset Scan Operations
Last updated: 2026-06-26
This document records the current operational contract for LT-1 and Sentinel-1 source-product and precise-orbit asset scans.
## Source Product Scan
Source-product scans are incremental, but they are not implemented as a strict two-phase "discover everything first, parse later" pipeline. The current implementation streams candidates:
1. Enumerate one candidate archive or SAFE path.
2. Read file stat information.
3. Check the existing `source_product_assets` row by normalized path.
4. Skip unchanged cached rows before parsing metadata.
5. Submit only changed or new rows to the source metadata parser.
The log field `skipped=N` means unchanged candidates were filtered before metadata extraction. The log field `changed/new=N` means candidates that missed the cache check and were submitted for metadata parsing.
An unchanged source asset can be skipped only when the cached row is active, belongs to the same root, has the current parser version, has an allowed parse status, and has matching file size and mtime.
## Source Metadata Parser Isolation
Source archive metadata parsing runs in a process-backed worker pool. This is intentional: a single corrupt or slow archive can block a Python thread indefinitely, while a child process can be terminated and replaced.
Current defaults:
```env
ASSET_SCAN_PARSE_WORKERS=16
ASSET_SCAN_PARSE_INFLIGHT=64
ASSET_SCAN_PARSE_TIMEOUT_SECONDS=600
```
Runtime guardrails:
- `ASSET_SCAN_PARSE_WORKERS` is capped at 32 inside the service.
- `ASSET_SCAN_PARSE_INFLIGHT` is capped at `workers * 4`.
- Each source file parse has a per-file timeout. On timeout, the worker process is terminated, the file is recorded as a parse issue, and the scan continues.
- Unexpected parser process exit is handled as a per-file parse failure, then the worker slot is restarted.
- Stale results from replaced worker generations are ignored.
On the current production server, `16/64` is the baseline configuration. During the 2026-06-26 scan audit, this used about 12% total CPU, kept more than 100 GB memory available, and drove the D: source archive volume at roughly 1.3 GB/s reads. If future scans remain stable and disk queue length stays reasonable, `24/96` can be tested, but `16/64` is the current default.
## Orbit Asset Scan
Precise-orbit scans are incremental. Unchanged orbit files are skipped before metadata parsing when the cached row is active, belongs to the same root, has native format `TXT` or `EOF`, has the current parser version, has parse status `OK`, and has matching file size and mtime.
LT-1 orbit scans also synchronize the configured production TXT orbit pool when applicable. Sentinel-1 EOF files remain registered as orbit assets and are used for scene binding.
## Orbit Binding After Scan
Asset inventory scan requests default to `bind_orbits=true`. The frontend asset registration buttons also pass `bind_orbits: true`.
After a source scan or an orbit scan finishes, the backend runs scene-to-orbit binding. This is deliberately symmetric:
- If source products are scanned first and precise orbits are scanned later, the later orbit scan binds existing scenes.
- If precise orbits are scanned first and source products are scanned later, the later source scan binds the new scenes.
The binding step is currently a full re-evaluation of active LT-1/Sentinel-1 source scenes with source-product references. The scan itself is incremental; the binding pass is not yet limited to changed scenes or changed orbit windows.
## Operational Notes
If a scan must be stopped before retrying with new concurrency settings, stop the running worker processes and mark the active `system_jobs`, `system_tasks`, and `asset_inventory_states` rows as terminal failed states. This prevents the job queue from recovering and re-claiming the old job.
Recommended health checks during a source scan:
- Task log should show `workers=16` and `pending=64` / `active_or_queued=64` after the parser pool fills.
- `completed=X/Y` should keep increasing.
- Worker warnings such as `parse worker exited unexpectedly` or parse timeout should remain rare and file-specific.
- D: disk read throughput and queue length are better indicators than total CPU on the current server.
+161
View File
@@ -52,6 +52,162 @@ function Resolve-PythonPath {
throw "Python interpreter not found. Set PYTHON_PATH in .env or pass -PythonPath."
}
function Read-BoolDotEnvValue {
param(
[string]$Path,
[string]$Name,
[bool]$DefaultValue
)
$value = Read-DotEnvValue -Path $Path -Name $Name
if (-not $value) {
return $DefaultValue
}
return @("1", "true", "yes", "on") -contains $value.Trim().ToLowerInvariant()
}
function Read-IntDotEnvValue {
param(
[string]$Path,
[string]$Name,
[int]$DefaultValue
)
$value = Read-DotEnvValue -Path $Path -Name $Name
if (-not $value) {
return $DefaultValue
}
$parsed = 0
if ([int]::TryParse($value.Trim(), [ref]$parsed)) {
return $parsed
}
return $DefaultValue
}
function Test-TcpPort {
param(
[string]$HostName,
[int]$Port
)
try {
$client = [System.Net.Sockets.TcpClient]::new()
$async = $client.BeginConnect($HostName, $Port, $null, $null)
$ok = $async.AsyncWaitHandle.WaitOne(1000, $false)
if ($ok) {
$client.EndConnect($async)
}
$client.Close()
return $ok
} catch {
return $false
}
}
function Get-LandSARConfigEndpoint {
param(
[string]$Path
)
$row = Read-DotEnvValue -Path $Path -Name "LANDSAR_CONFIG_ROW"
if ($row) {
$parts = $row.Split(",") | ForEach-Object { $_.Trim() }
if ($parts.Count -ge 4) {
$port = 6666
[void][int]::TryParse($parts[3], [ref]$port)
return [pscustomobject]@{
Mode = $parts[0]
Host = $(if ($parts[2]) { $parts[2] } else { "127.0.0.1" })
Port = $port
}
}
}
return [pscustomobject]@{
Mode = $(Read-DotEnvValue -Path $Path -Name "LANDSAR_LICENSE_MODE")
Host = $(Read-DotEnvValue -Path $Path -Name "LANDSAR_LICENSE_HOST")
Port = $(Read-IntDotEnvValue -Path $Path -Name "LANDSAR_LICENSE_PORT" -DefaultValue 6666)
}
}
function Resolve-LandSARAuthServerPath {
param(
[string]$RepoRoot,
[string]$EnvPath
)
$explicit = Read-DotEnvValue -Path $EnvPath -Name "LANDSAR_AUTH_SERVER_EXE"
$candidates = @(
$explicit,
(Join-Path $RepoRoot "third_party\LandSAR\tools\_portable_release\LandSAR_auth_tools_win64\landsar_net_auth_server.exe"),
(Join-Path $RepoRoot "third_party\LandSAR\landsar_net_auth_server.exe")
) | Where-Object { $_ -and $_.Trim() } | Select-Object -Unique
foreach ($candidate in $candidates) {
if (Test-Path -LiteralPath $candidate) {
return (Resolve-Path -LiteralPath $candidate).Path
}
}
return $candidates | Select-Object -First 1
}
function Start-LandSARAuthServerIfNeeded {
param(
[string]$RepoRoot,
[string]$EnvPath
)
$endpoint = Get-LandSARConfigEndpoint -Path $EnvPath
$mode = $(if ($endpoint.Mode) { $endpoint.Mode } else { "netVersion" })
if ($mode.Trim().ToLowerInvariant() -ne "netversion") {
Write-Host "LandSAR auth: skipped for license mode $mode"
return
}
$clientHost = $(if ($endpoint.Host) { $endpoint.Host } else { "127.0.0.1" })
$clientPort = [int]$endpoint.Port
if (Test-TcpPort -HostName $clientHost -Port $clientPort) {
Write-Host "LandSAR auth: already listening on $clientHost`:$clientPort"
return
}
$autoStart = Read-BoolDotEnvValue -Path $EnvPath -Name "LANDSAR_AUTH_SERVER_AUTO_START" -DefaultValue $true
if (-not $autoStart) {
throw "LandSAR auth server is not listening on $clientHost`:$clientPort and LANDSAR_AUTH_SERVER_AUTO_START=false."
}
$authExe = Resolve-LandSARAuthServerPath -RepoRoot $RepoRoot -EnvPath $EnvPath
if (-not $authExe -or -not (Test-Path -LiteralPath $authExe)) {
throw "LandSAR auth server executable not found: $authExe. Set LANDSAR_AUTH_SERVER_EXE in .env."
}
$serverDir = Split-Path -Parent $authExe
$memoryBin = Join-Path $serverDir "dongle_0xa0.bin"
if (-not (Test-Path -LiteralPath $memoryBin)) {
$fallbackBin = Join-Path $RepoRoot "third_party\LandSAR\tools\dongle_0xa0.bin"
if (Test-Path -LiteralPath $fallbackBin) {
Copy-Item -LiteralPath $fallbackBin -Destination $memoryBin -Force
} else {
throw "LandSAR auth memory image missing: $memoryBin"
}
}
$bindHost = Read-DotEnvValue -Path $EnvPath -Name "LANDSAR_AUTH_SERVER_HOST"
if (-not $bindHost) {
$bindHost = $clientHost
}
$bindPort = Read-IntDotEnvValue -Path $EnvPath -Name "LANDSAR_AUTH_SERVER_PORT" -DefaultValue $clientPort
Write-Host "LandSAR auth: starting $authExe on $bindHost`:$bindPort"
Start-Process `
-FilePath $authExe `
-ArgumentList @("--host", $bindHost, "--port", [string]$bindPort) `
-WorkingDirectory $serverDir `
-WindowStyle Hidden | Out-Null
$deadline = (Get-Date).AddSeconds(5)
while ((Get-Date) -lt $deadline) {
if (Test-TcpPort -HostName $clientHost -Port $clientPort) {
Write-Host "LandSAR auth: started and reachable on $clientHost`:$clientPort"
return
}
Start-Sleep -Milliseconds 250
}
throw "LandSAR auth server was started but $clientHost`:$clientPort is not reachable."
}
$RepoRoot = (Resolve-Path -LiteralPath $RepoRoot).Path
$envPath = Join-Path $RepoRoot ".env"
$templatePath = Join-Path $RepoRoot "config\landsar_cluster_worker.env.example"
@@ -76,6 +232,10 @@ $allowedTypes = Read-DotEnvValue -Path $envPath -Name "JOB_WORKER_ALLOWED_TYPES"
if (-not $allowedTypes) {
$env:JOB_WORKER_ALLOWED_TYPES = "LANDSAR_CLUSTER_ITEM"
}
$clusterToken = Read-DotEnvValue -Path $envPath -Name "CLUSTER_SHARED_TOKEN"
if (-not $clusterToken) {
throw "CLUSTER_SHARED_TOKEN is required for LandSAR cluster input download and result upload."
}
$concurrency = Read-DotEnvValue -Path $envPath -Name "JOB_WORKER_CONCURRENCY"
if (-not $concurrency) {
$env:JOB_WORKER_CONCURRENCY = "1"
@@ -101,6 +261,7 @@ Write-Host "Log: $stdoutLog"
Write-Host "Mode: $(if ($Background) { 'background' } else { 'foreground' })"
Set-Location $RepoRoot
Start-LandSARAuthServerIfNeeded -RepoRoot $RepoRoot -EnvPath $envPath
if ($Background) {
if (Test-Path -LiteralPath $pidFile) {
@@ -0,0 +1,157 @@
param(
[string]$RepoRoot = (Resolve-Path (Join-Path $PSScriptRoot "..")).Path
)
$ErrorActionPreference = "Stop"
function Read-DotEnvValue {
param(
[string]$Path,
[string]$Name
)
if (-not (Test-Path -LiteralPath $Path)) {
return ""
}
$line = Get-Content -LiteralPath $Path |
Where-Object { $_ -match "^\s*$([regex]::Escape($Name))\s*=" } |
Select-Object -Last 1
if (-not $line) {
return ""
}
$value = ($line -split "=", 2)[1].Trim()
if (($value.StartsWith('"') -and $value.EndsWith('"')) -or ($value.StartsWith("'") -and $value.EndsWith("'"))) {
$value = $value.Substring(1, $value.Length - 2)
}
return $value
}
function Add-Check {
param(
[System.Collections.Generic.List[object]]$Rows,
[string]$Name,
[bool]$Ok,
[string]$Detail
)
$Rows.Add([pscustomobject]@{
Check = $Name
Ok = $Ok
Detail = $Detail
}) | Out-Null
}
$RepoRoot = (Resolve-Path -LiteralPath $RepoRoot).Path
$envPath = Join-Path $RepoRoot ".env"
$rows = [System.Collections.Generic.List[object]]::new()
Add-Check $rows "repo_root" (Test-Path -LiteralPath $RepoRoot) $RepoRoot
Add-Check $rows "env_file" (Test-Path -LiteralPath $envPath) $envPath
Add-Check $rows "worker_script" (Test-Path -LiteralPath (Join-Path $RepoRoot "run_landsar_cluster_worker.py")) (Join-Path $RepoRoot "run_landsar_cluster_worker.py")
Add-Check $rows "start_launcher" (Test-Path -LiteralPath (Join-Path $RepoRoot "scripts\start_landsar_cluster_worker.ps1")) (Join-Path $RepoRoot "scripts\start_landsar_cluster_worker.ps1")
Add-Check $rows "stop_launcher" (Test-Path -LiteralPath (Join-Path $RepoRoot "scripts\stop_landsar_cluster_worker.ps1")) (Join-Path $RepoRoot "scripts\stop_landsar_cluster_worker.ps1")
$databaseUrl = Read-DotEnvValue -Path $envPath -Name "DATABASE_URL"
$dbHost = ""
$dbPort = 5432
if ($databaseUrl -match "@(?<host>[^:/]+)(:(?<port>\d+))?/") {
$dbHost = $Matches.host
if ($Matches.port) {
$dbPort = [int]$Matches.port
}
}
Add-Check $rows "database_url" ([bool]$databaseUrl) $databaseUrl
if ($dbHost) {
$tcpOk = $false
try {
$tcpOk = [bool](Test-NetConnection -ComputerName $dbHost -Port $dbPort -InformationLevel Quiet -WarningAction SilentlyContinue)
} catch {
$tcpOk = $false
}
Add-Check $rows "database_tcp" $tcpOk "$dbHost`:$dbPort"
} else {
Add-Check $rows "database_tcp" $false "DATABASE_URL host could not be parsed"
}
$pythonPath = Read-DotEnvValue -Path $envPath -Name "PYTHON_PATH"
if (-not $pythonPath) {
$pythonPath = "C:\ProgramData\anaconda3\envs\InSAR\python.exe"
}
Add-Check $rows "python_path" (Test-Path -LiteralPath $pythonPath) $pythonPath
$landsarConsole = Read-DotEnvValue -Path $envPath -Name "LANDSAR_CONSOLE_EXE"
if (-not $landsarConsole) {
$landsarConsole = "D:\LandSAR\InSAR_Console.exe"
}
Add-Check $rows "landsar_console" (Test-Path -LiteralPath $landsarConsole) $landsarConsole
$landsarHome = Read-DotEnvValue -Path $envPath -Name "LANDSAR_HOME"
if (-not $landsarHome) {
$landsarHome = Split-Path -Parent $landsarConsole
}
Add-Check $rows "landsar_home" (Test-Path -LiteralPath $landsarHome) $landsarHome
$landsarExtraHome = Read-DotEnvValue -Path $envPath -Name "LANDSAR_EXTRA_HOME"
if (-not $landsarExtraHome) {
$landsarExtraHome = Join-Path $RepoRoot "third_party\LandSAR"
}
Add-Check $rows "landsar_extra_home" (Test-Path -LiteralPath $landsarExtraHome) $landsarExtraHome
$authExe = Read-DotEnvValue -Path $envPath -Name "LANDSAR_AUTH_SERVER_EXE"
if (-not $authExe) {
$authExe = Join-Path $RepoRoot "third_party\LandSAR\tools\_portable_release\LandSAR_auth_tools_win64\landsar_net_auth_server.exe"
}
Add-Check $rows "landsar_auth_exe" (Test-Path -LiteralPath $authExe) $authExe
$authMemory = Join-Path (Split-Path -Parent $authExe) "dongle_0xa0.bin"
$fallbackMemory = Join-Path $RepoRoot "third_party\LandSAR\tools\dongle_0xa0.bin"
Add-Check $rows "landsar_auth_memory" ((Test-Path -LiteralPath $authMemory) -or (Test-Path -LiteralPath $fallbackMemory)) "$authMemory or $fallbackMemory"
$authHost = Read-DotEnvValue -Path $envPath -Name "LANDSAR_AUTH_SERVER_HOST"
if (-not $authHost) {
$authHost = "127.0.0.1"
}
$authPortText = Read-DotEnvValue -Path $envPath -Name "LANDSAR_AUTH_SERVER_PORT"
$authPort = 6666
if ($authPortText) {
[void][int]::TryParse($authPortText, [ref]$authPort)
}
Add-Check $rows "landsar_auth_endpoint" ($authPort -gt 0) "$authHost`:$authPort"
$demPath = Read-DotEnvValue -Path $envPath -Name "LANDSAR_DEM_PATH"
if (-not $demPath) {
$demPath = "D:\DEM\SRTMDEM_RSP_SARscape_global_int16.tif"
}
Add-Check $rows "landsar_dem" (Test-Path -LiteralPath $demPath) $demPath
$workRoot = Read-DotEnvValue -Path $envPath -Name "LANDSAR_WORK_ROOT"
if (-not $workRoot) {
$workRoot = "D:\LandSAR_Work"
}
try {
New-Item -ItemType Directory -Force -Path $workRoot | Out-Null
$workRootOk = Test-Path -LiteralPath $workRoot
} catch {
$workRootOk = $false
}
Add-Check $rows "landsar_work_root" $workRootOk $workRoot
$allowedTypes = Read-DotEnvValue -Path $envPath -Name "JOB_WORKER_ALLOWED_TYPES"
Add-Check $rows "allowed_job_types" ($allowedTypes -eq "LANDSAR_CLUSTER_ITEM") $allowedTypes
$clusterMainUrl = Read-DotEnvValue -Path $envPath -Name "CLUSTER_MAIN_SERVER_URL"
Add-Check $rows "cluster_main_server_url" ([bool]$clusterMainUrl) $clusterMainUrl
$clusterToken = Read-DotEnvValue -Path $envPath -Name "CLUSTER_SHARED_TOKEN"
Add-Check $rows "cluster_shared_token" ([bool]$clusterToken) $(if ($clusterToken) { "configured" } else { "missing" })
$rows | Format-Table -AutoSize
$failed = @($rows | Where-Object { -not $_.Ok })
if ($failed.Count -gt 0) {
Write-Host ""
Write-Host "FAILED CHECKS:" -ForegroundColor Red
$failed | Format-Table -AutoSize
exit 1
}
Write-Host ""
Write-Host "All LandSAR cluster worker checks passed." -ForegroundColor Green