1503 lines
68 KiB
Python
1503 lines
68 KiB
Python
"""ISCE2 D-InSAR engine backed by a WSL pipeline script."""
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from __future__ import annotations
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import json
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import os
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import shlex
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, List
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from ..config import get_env_text, read_bool_env, settings
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from .base import DinsarEngine, EngineAvailability, EngineProfile, RunRequest, RunResult
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from ..utils import normalize_satellite_family
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from ..services.dinsar_naming import (
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PAIR_META_FILENAME,
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build_fallback_pair_key,
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build_run_key,
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find_json_sidecar,
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write_run_metadata,
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)
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from ..services.dinsar_result_layout_service import (
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normalize_isce2_run_layout,
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)
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from ..services.isce2_result_validator import validate_isce2_result_files
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LT1_FIXED_WAVELENGTH = 0.23793052222222222
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DEFAULT_TARGET_GRID_SIZE_M = 10
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DEFAULT_BBOX_MARGIN = 0.05
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DEFAULT_COH_THRESHOLD = 0.05
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DEFAULT_REFERENCE_MODE = "coh_median"
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DEFAULT_REFERENCE_COH_THRESHOLD = 0.30
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DEFAULT_DERAMP_MODE = "plane"
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DEFAULT_DERAMP_COH_THRESHOLD = 0.30
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DEFAULT_DENSE_OFFSETS = True
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DEFAULT_RUBBERSHEET_RANGE = True
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DEFAULT_RUBBERSHEET_AZIMUTH = True
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DEFAULT_IONOSPHERE_CORRECTION = True
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DEFAULT_RUBBER_SHEET_SNR_THRESHOLD = 5.0
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DEFAULT_RUBBER_SHEET_FILTER_SIZE = 9
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DEFAULT_DENSE_WINDOW_WIDTH = 64
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DEFAULT_DENSE_WINDOW_HEIGHT = 64
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DEFAULT_DENSE_SEARCH_WIDTH = 20
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DEFAULT_DENSE_SEARCH_HEIGHT = 20
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DEFAULT_DENSE_SKIP_WIDTH = 32
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DEFAULT_DENSE_SKIP_HEIGHT = 32
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ORBIT_MARGIN_MIN_SEC = 60.0
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ORBIT_MARGIN_MAX_SEC = 120.0
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TARGET_GRID_SIZE_MIN_M = 5
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TARGET_GRID_SIZE_MAX_M = 100
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RERUN_MODE_UNFINISHED_ONLY = "unfinished_only"
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RESUME_STAGE_CHOICES = {"", "unwrap", "geocode", "export"}
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REFERENCE_MODE_CHOICES = {"none", "coh_median"}
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DERAMP_MODE_CHOICES = {"none", "plane"}
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def _read_env(name: str, default: str = "") -> str:
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return get_env_text(name, default) or default
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def _read_bool_env(name: str, default: bool = False) -> bool:
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return read_bool_env(name, default)
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def _windows_path_to_wsl_mount(path: str) -> str:
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text = str(path or "").strip()
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if not text:
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return ""
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drive, tail = os.path.splitdrive(os.path.normpath(text))
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if not drive:
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return text.replace("\\", "/")
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drive_letter = drive.rstrip(":").lower()
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normalized_tail = tail.replace("\\", "/")
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return f"/mnt/{drive_letter}/{normalized_tail}"
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def _join_argv_for_log(argv: List[str]) -> str:
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return " ".join(shlex.quote(str(item)) for item in argv if str(item))
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def _normalize_rerun_mode(value: Any) -> str:
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normalized = str(value or "").strip().lower()
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return normalized if normalized == RERUN_MODE_UNFINISHED_ONLY else "rerun_all"
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def _normalize_optional_path(value: Any) -> str:
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text = str(value or "").strip()
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if not text:
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return ""
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return os.path.normpath(os.path.abspath(text))
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def _prefer_prepared_dem_variant(path: str) -> str:
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normalized = _normalize_optional_path(path)
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if not normalized or normalized.lower().endswith(".wgs84"):
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return normalized
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prepared = normalized + ".wgs84"
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if os.path.isfile(prepared) and os.path.isfile(prepared + ".xml"):
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return prepared
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return normalized
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def _load_json_file(path: str) -> Dict[str, Any]:
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try:
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with open(path, "r", encoding="utf-8") as fp:
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payload = json.load(fp)
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return payload if isinstance(payload, dict) else {}
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except Exception:
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return {}
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def _find_isce2_export_outputs(export_dir: str) -> Dict[str, str]:
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normalized_export_dir = _normalize_optional_path(export_dir)
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if not normalized_export_dir or not os.path.isdir(normalized_export_dir):
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return {}
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outputs: Dict[str, str] = {}
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with os.scandir(normalized_export_dir) as entries:
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files = sorted(
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[entry for entry in entries if entry.is_file()],
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key=lambda entry: entry.name.lower(),
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)
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for entry in files:
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lower_name = entry.name.lower()
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if lower_name.endswith(("_disp_full.tif", "_disp_full.tiff")):
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continue
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if "disp" not in outputs and (
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lower_name in {"disp.tif", "disp.tiff"}
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or lower_name.endswith(("_disp.tif", "_disp.tiff"))
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):
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outputs["disp"] = entry.path
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continue
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if "coh" not in outputs and (
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lower_name in {"coh.tif", "coh.tiff"}
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or lower_name.endswith(("_coh.tif", "_coh.tiff"))
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):
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outputs["coh"] = entry.path
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return outputs
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class Isce2Engine(DinsarEngine):
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@property
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def engine_code(self) -> str:
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return "isce2"
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@property
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def engine_label(self) -> str:
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return "ISCE2（WSL）"
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@property
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def default_timeout_seconds(self) -> int:
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return max(60, int(settings.ISCE2_PER_TASK_TIMEOUT_SECONDS or 43200))
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# ------------------------------------------------------------------
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# Config helpers
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# ------------------------------------------------------------------
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@property
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def _enabled(self) -> bool:
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return _read_bool_env("ISCE2_ENABLED", False)
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@property
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def _distro(self) -> str:
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return _read_env("ISCE2_WSL_DISTRO", "Ubuntu-24.04")
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@property
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def _python(self) -> str:
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return _read_env(
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"ISCE2_PYTHON",
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"/home/administrator/miniconda3/envs/isce2/bin/python",
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)
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@property
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def _runtime_id(self) -> str:
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return _read_env("ISCE2_RUNTIME_ID", settings.ISCE2_RUNTIME_ID or "isce2_runtime_v1")
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@property
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def _dem_path(self) -> str:
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explicit = _prefer_prepared_dem_variant(_read_env("ISCE2_DEM_PATH", ""))
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if explicit:
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return explicit
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base = _read_env("IDL_DINSAR_DEM_BASE_FILE", "")
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return _prefer_prepared_dem_variant(base) if base else ""
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@property
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def _orbit_pool_isce2(self) -> str:
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return _read_env("ORBIT_POOL_ISCE2", "") or _read_env("ISCE2_ORBIT_DIR", "")
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@property
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def _work_root(self) -> str:
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return _read_env("ISCE2_WORK_ROOT", "")
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@property
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def _output_root(self) -> str:
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return _read_env("ISCE2_OUTPUT_ROOT", "")
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@property
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def _smoke_test(self) -> bool:
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return _read_bool_env("ISCE2_SMOKE_TEST_ENABLED", False)
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@property
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def _stripmap_app(self) -> str:
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return _read_env(
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"ISCE2_STRIPMAP_APP",
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"/home/administrator/miniconda3/envs/isce2/lib/python3.11"
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"/site-packages/isce/applications/stripmapApp.py",
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)
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@property
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def _pipeline_script(self) -> str:
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explicit = _read_env("ISCE2_PIPELINE_SCRIPT", "")
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if explicit:
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return explicit
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local_script = (
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Path(__file__).resolve().parent.parent
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/ "isce2_pipeline"
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/ "run_lt1_dinsar_pipeline.py"
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)
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return _windows_path_to_wsl_mount(str(local_script))
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# ------------------------------------------------------------------
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# Profiles
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# ------------------------------------------------------------------
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def _legacy_get_profiles(self) -> List[EngineProfile]:
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return [
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EngineProfile(
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code="lt1_stripmap",
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label="LT-1 条带模式",
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description="通过 WSL 环境运行 LT-1 条带模式 D-InSAR 处理流程。",
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params_schema={
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"force": {
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"label": "强制重建工作目录",
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"type": "boolean",
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"default": False,
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"description": "如果工作目录已经存在，先删除旧目录再重新处理。",
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"recommendation": "仅在确认旧结果可以丢弃时启用。",
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},
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"target_grid_size_m": {
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"label": "目标网格尺寸（米）",
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"type": "number",
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"default": DEFAULT_TARGET_GRID_SIZE_M,
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"step": 1,
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"min": TARGET_GRID_SIZE_MIN_M,
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"max": TARGET_GRID_SIZE_MAX_M,
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"description": "控制多视尺度和地理编码输出粒度，系统会自动换算内部处理参数。",
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"recommendation": "建议优先使用 10；希望保留更多细节可尝试 5，若更看重稳定性和效率可提高到 15 或 20。",
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},
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"bbox": {
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"label": "地理编码范围",
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"type": "string",
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"default": "",
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"placeholder": "南,北,西,东",
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"description": "手工指定地理编码范围，格式为南、北、西、东。",
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"recommendation": "通常留空即可，让系统自动估算；只有在你明确知道目标范围时再手工填写。",
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},
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"coh_threshold": {
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"label": "相干性阈值",
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"type": "number",
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"default": DEFAULT_COH_THRESHOLD,
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"step": 0.01,
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"min": 0,
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"max": 1,
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"description": "导出位移结果时，低于该阈值的像元会被掩膜。",
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"recommendation": "默认 0.05 便于先看全量结果；正式成果更建议从 0.10 起用。",
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},
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"bbox_margin": {
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"label": "范围外扩量（度）",
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"type": "number",
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"default": DEFAULT_BBOX_MARGIN,
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"step": 0.01,
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"min": 0,
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"description": "自动估算地理编码范围后，向四周额外扩展的角度。",
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"recommendation": "推荐 0.05；如果边缘仍有裁切，可逐步提高到 0.08 或 0.10。",
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},
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"wavelength": {
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"label": "雷达波长（米）",
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"type": "number",
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"default": LT1_FIXED_WAVELENGTH,
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"step": 0.000001,
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"readonly": True,
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"include_in_payload": False,
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"description": "LT-1 固定参数，用于位移量换算。",
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"recommendation": "系统已锁定，不允许修改。",
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},
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"orbit_margin_sec": {
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"label": "精轨裁剪时间余量（秒）",
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"type": "number",
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"default": ORBIT_MARGIN_MIN_SEC,
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"step": 1,
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"min": ORBIT_MARGIN_MIN_SEC,
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"max": ORBIT_MARGIN_MAX_SEC,
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"description": "生成精轨 XML 时，在场景开始和结束时刻前后额外保留的时间。",
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"recommendation": "建议优先使用 60；如果元数据时间标签偏紧或边界异常，可提高到 90 或 120。",
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},
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},
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),
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]
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def get_profiles(self) -> List[EngineProfile]:
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return [
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EngineProfile(
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code="lt1_stripmap",
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label="LT-1 Stripmap",
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description=(
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"Managed LT-1 stripmap D-InSAR production in WSL with the standard "
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"ISCE2 enhancement steps and split-spectrum ionosphere correction enabled by default."
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),
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params_schema={
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"force": {
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"label": "Rebuild Work Dir",
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"type": "boolean",
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"default": False,
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"section": "Execution",
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"description": "Delete the existing work directory before rerunning the task.",
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"recommendation": "Use only when the previous work directory can be discarded.",
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},
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"target_grid_size_m": {
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"label": "Target Grid Size (m)",
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||
"type": "number",
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"default": DEFAULT_TARGET_GRID_SIZE_M,
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"step": 1,
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"min": TARGET_GRID_SIZE_MIN_M,
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"max": TARGET_GRID_SIZE_MAX_M,
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"section": "Execution",
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"description": "Controls multilook scale and geocoded output spacing.",
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"recommendation": "Use 10 by default; try 5 for more detail or 15-20 for more stability.",
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},
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"bbox": {
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"label": "Geocode BBox",
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"type": "string",
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"default": "",
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"placeholder": "south,north,west,east",
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"section": "Execution",
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"description": "Optional manual geocode bounding box.",
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"recommendation": "Leave empty unless you need to constrain the output area.",
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},
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"coh_threshold": {
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"label": "Coherence Threshold",
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"type": "number",
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"default": DEFAULT_COH_THRESHOLD,
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"step": 0.01,
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"min": 0,
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"max": 1,
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"section": "Delivery",
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"description": "Masks displacement pixels below this coherence threshold in the exported product.",
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"recommendation": "Use 0.05 for broad inspection and 0.10+ for stricter delivery.",
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},
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"reference_mode": {
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"label": "Reference Mode",
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"type": "string",
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"default": DEFAULT_REFERENCE_MODE,
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"enum": sorted(REFERENCE_MODE_CHOICES),
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"section": "Delivery",
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"description": "Normalizes the final displacement field before delivery.",
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"recommendation": "Use coh_median for production so the result is centered on stable high-coherence pixels.",
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},
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"reference_coh_threshold": {
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"label": "Reference Coh Threshold",
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"type": "number",
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"default": DEFAULT_REFERENCE_COH_THRESHOLD,
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"step": 0.01,
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"min": 0,
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"max": 1,
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"section": "Delivery",
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"description": "Minimum coherence used when selecting pixels for displacement referencing.",
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"recommendation": "Use 0.30 by default; raise it only when you have enough high-quality support pixels.",
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},
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"deramp_mode": {
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"label": "Deramp Mode",
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"type": "string",
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"default": DEFAULT_DERAMP_MODE,
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"enum": sorted(DERAMP_MODE_CHOICES),
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||
"section": "Delivery",
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"description": "Removes long-wavelength ramp residuals after referencing.",
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||
"recommendation": "Use plane for LT-1 production unless you are explicitly debugging raw ISCE2 output.",
|
||
},
|
||
"deramp_coh_threshold": {
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||
"label": "Deramp Coh Threshold",
|
||
"type": "number",
|
||
"default": DEFAULT_DERAMP_COH_THRESHOLD,
|
||
"step": 0.01,
|
||
"min": 0,
|
||
"max": 1,
|
||
"section": "Delivery",
|
||
"description": "Minimum coherence used when selecting pixels for deramp fitting.",
|
||
"recommendation": "Use 0.30 by default so the ramp is fitted on cleaner support pixels.",
|
||
},
|
||
"bbox_margin": {
|
||
"label": "BBox Margin (deg)",
|
||
"type": "number",
|
||
"default": DEFAULT_BBOX_MARGIN,
|
||
"step": 0.01,
|
||
"min": 0,
|
||
"section": "Execution",
|
||
"description": "Extra degree margin added to the auto-estimated geocode bounding box.",
|
||
"recommendation": "Use 0.05 by default; increase only if edges are clipped.",
|
||
},
|
||
"ionosphere_correction": {
|
||
"label": "Enable Split-Spectrum Ionosphere Correction",
|
||
"type": "boolean",
|
||
"default": DEFAULT_IONOSPHERE_CORRECTION,
|
||
"section": "Enhancement",
|
||
"description": "Runs the split-spectrum dispersive correction branch before geocode and export.",
|
||
"recommendation": "Keep enabled by default; disable it when the correction itself is suspected to degrade a scene.",
|
||
},
|
||
"dense_offsets": {
|
||
"label": "Enable Dense Offsets",
|
||
"type": "boolean",
|
||
"default": DEFAULT_DENSE_OFFSETS,
|
||
"section": "Enhancement",
|
||
"description": "Run ISCE2 dense offset estimation before fine resampling.",
|
||
"recommendation": "Keep enabled for LT-1 stripmap production.",
|
||
},
|
||
"rubbersheet_range": {
|
||
"label": "Enable Range Rubbersheeting",
|
||
"type": "boolean",
|
||
"default": DEFAULT_RUBBERSHEET_RANGE,
|
||
"section": "Enhancement",
|
||
"description": "Update range offsets with dense offsets before fine resampling.",
|
||
"recommendation": "Keep enabled for LT-1 stripmap production.",
|
||
},
|
||
"rubbersheet_azimuth": {
|
||
"label": "Enable Azimuth Rubbersheeting",
|
||
"type": "boolean",
|
||
"default": DEFAULT_RUBBERSHEET_AZIMUTH,
|
||
"section": "Enhancement",
|
||
"description": "Update azimuth offsets with dense offsets before fine resampling.",
|
||
"recommendation": "Keep enabled for LT-1 stripmap production.",
|
||
},
|
||
"rubber_sheet_snr_threshold": {
|
||
"label": "Rubbersheet SNR Threshold",
|
||
"type": "number",
|
||
"default": DEFAULT_RUBBER_SHEET_SNR_THRESHOLD,
|
||
"step": 0.5,
|
||
"min": 0,
|
||
"section": "Enhancement",
|
||
"description": "SNR threshold used when masking dense offsets for rubbersheeting.",
|
||
"recommendation": "Start with 5.0 unless a scene-specific diagnosis suggests otherwise.",
|
||
},
|
||
"rubber_sheet_filter_size": {
|
||
"label": "Rubbersheet Filter Size",
|
||
"type": "number",
|
||
"default": DEFAULT_RUBBER_SHEET_FILTER_SIZE,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Median filter size used when smoothing masked dense offsets.",
|
||
"recommendation": "Start with 9.",
|
||
},
|
||
"dense_window_width": {
|
||
"label": "Dense Window Width",
|
||
"type": "number",
|
||
"default": DEFAULT_DENSE_WINDOW_WIDTH,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Dense offset correlation window width.",
|
||
"recommendation": "Start with 64.",
|
||
},
|
||
"dense_window_height": {
|
||
"label": "Dense Window Height",
|
||
"type": "number",
|
||
"default": DEFAULT_DENSE_WINDOW_HEIGHT,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Dense offset correlation window height.",
|
||
"recommendation": "Start with 64.",
|
||
},
|
||
"dense_search_width": {
|
||
"label": "Dense Search Width",
|
||
"type": "number",
|
||
"default": DEFAULT_DENSE_SEARCH_WIDTH,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Dense offset search width.",
|
||
"recommendation": "Start with 20.",
|
||
},
|
||
"dense_search_height": {
|
||
"label": "Dense Search Height",
|
||
"type": "number",
|
||
"default": DEFAULT_DENSE_SEARCH_HEIGHT,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Dense offset search height.",
|
||
"recommendation": "Start with 20.",
|
||
},
|
||
"dense_skip_width": {
|
||
"label": "Dense Skip Width",
|
||
"type": "number",
|
||
"default": DEFAULT_DENSE_SKIP_WIDTH,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Dense offset sampling stride in range direction.",
|
||
"recommendation": "Start with 32.",
|
||
},
|
||
"dense_skip_height": {
|
||
"label": "Dense Skip Height",
|
||
"type": "number",
|
||
"default": DEFAULT_DENSE_SKIP_HEIGHT,
|
||
"step": 1,
|
||
"min": 1,
|
||
"section": "Enhancement",
|
||
"description": "Dense offset sampling stride in azimuth direction.",
|
||
"recommendation": "Start with 32.",
|
||
},
|
||
"wavelength": {
|
||
"label": "Radar Wavelength (m)",
|
||
"type": "number",
|
||
"default": LT1_FIXED_WAVELENGTH,
|
||
"step": 0.000001,
|
||
"readonly": True,
|
||
"include_in_payload": False,
|
||
"section": "Execution",
|
||
"description": "Fixed LT-1 radar wavelength used for displacement conversion.",
|
||
"recommendation": "This value is locked by the system.",
|
||
},
|
||
"orbit_margin_sec": {
|
||
"label": "Orbit Margin (sec)",
|
||
"type": "number",
|
||
"default": ORBIT_MARGIN_MIN_SEC,
|
||
"step": 1,
|
||
"min": ORBIT_MARGIN_MIN_SEC,
|
||
"max": ORBIT_MARGIN_MAX_SEC,
|
||
"section": "Execution",
|
||
"description": "Extra time margin preserved when clipping the precise orbit XML.",
|
||
"recommendation": "Use 60 by default; raise to 90-120 only if scene timing is tight.",
|
||
},
|
||
},
|
||
),
|
||
]
|
||
|
||
def normalize_extra(self, extra: Dict[str, Any] | None) -> Dict[str, Any]:
|
||
normalized: Dict[str, Any] = dict(extra or {})
|
||
normalized.pop("wavelength", None)
|
||
|
||
if "force" in normalized:
|
||
normalized["force"] = bool(normalized["force"])
|
||
|
||
if "bbox" in normalized and normalized["bbox"] is not None:
|
||
normalized["bbox"] = str(normalized["bbox"]).strip()
|
||
|
||
if "target_grid_size_m" in normalized and normalized["target_grid_size_m"] is not None:
|
||
try:
|
||
grid_size = float(normalized["target_grid_size_m"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("目标网格尺寸必须为数字。") from exc
|
||
if int(grid_size) != grid_size:
|
||
raise ValueError("目标网格尺寸必须使用整数米。")
|
||
grid_size = int(grid_size)
|
||
if grid_size < TARGET_GRID_SIZE_MIN_M or grid_size > TARGET_GRID_SIZE_MAX_M:
|
||
raise ValueError(
|
||
f"目标网格尺寸必须在 {TARGET_GRID_SIZE_MIN_M} 到 {TARGET_GRID_SIZE_MAX_M} 米之间。"
|
||
)
|
||
normalized["target_grid_size_m"] = grid_size
|
||
|
||
if "coh_threshold" in normalized and normalized["coh_threshold"] is not None:
|
||
try:
|
||
coh_threshold = float(normalized["coh_threshold"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("相干性阈值必须为数字。") from exc
|
||
if coh_threshold < 0 or coh_threshold > 1:
|
||
raise ValueError("相干性阈值必须在 0 到 1 之间。")
|
||
normalized["coh_threshold"] = coh_threshold
|
||
|
||
if "reference_mode" in normalized and normalized["reference_mode"] is not None:
|
||
reference_mode = str(normalized["reference_mode"]).strip().lower()
|
||
if reference_mode not in REFERENCE_MODE_CHOICES:
|
||
supported_modes = ", ".join(sorted(REFERENCE_MODE_CHOICES))
|
||
raise ValueError(f"reference_mode must be one of: {supported_modes}")
|
||
normalized["reference_mode"] = reference_mode
|
||
|
||
if "reference_coh_threshold" in normalized and normalized["reference_coh_threshold"] is not None:
|
||
try:
|
||
reference_coh_threshold = float(normalized["reference_coh_threshold"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("reference_coh_threshold must be numeric") from exc
|
||
if reference_coh_threshold < 0 or reference_coh_threshold > 1:
|
||
raise ValueError("reference_coh_threshold must be between 0 and 1")
|
||
normalized["reference_coh_threshold"] = reference_coh_threshold
|
||
|
||
if "deramp_mode" in normalized and normalized["deramp_mode"] is not None:
|
||
deramp_mode = str(normalized["deramp_mode"]).strip().lower()
|
||
if deramp_mode not in DERAMP_MODE_CHOICES:
|
||
supported_modes = ", ".join(sorted(DERAMP_MODE_CHOICES))
|
||
raise ValueError(f"deramp_mode must be one of: {supported_modes}")
|
||
normalized["deramp_mode"] = deramp_mode
|
||
|
||
if "deramp_coh_threshold" in normalized and normalized["deramp_coh_threshold"] is not None:
|
||
try:
|
||
deramp_coh_threshold = float(normalized["deramp_coh_threshold"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("deramp_coh_threshold must be numeric") from exc
|
||
if deramp_coh_threshold < 0 or deramp_coh_threshold > 1:
|
||
raise ValueError("deramp_coh_threshold must be between 0 and 1")
|
||
normalized["deramp_coh_threshold"] = deramp_coh_threshold
|
||
|
||
if "bbox_margin" in normalized and normalized["bbox_margin"] is not None:
|
||
try:
|
||
bbox_margin = float(normalized["bbox_margin"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("范围外扩量必须为数字。") from exc
|
||
if bbox_margin < 0:
|
||
raise ValueError("范围外扩量不能小于 0。")
|
||
normalized["bbox_margin"] = bbox_margin
|
||
|
||
for bool_key in ("ionosphere_correction", "dense_offsets", "rubbersheet_range", "rubbersheet_azimuth"):
|
||
if bool_key in normalized:
|
||
normalized[bool_key] = bool(normalized[bool_key])
|
||
|
||
if "rubber_sheet_snr_threshold" in normalized and normalized["rubber_sheet_snr_threshold"] is not None:
|
||
try:
|
||
snr_threshold = float(normalized["rubber_sheet_snr_threshold"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("rubber_sheet_snr_threshold must be numeric") from exc
|
||
if snr_threshold < 0:
|
||
raise ValueError("rubber_sheet_snr_threshold must be non-negative")
|
||
normalized["rubber_sheet_snr_threshold"] = snr_threshold
|
||
|
||
for int_key in (
|
||
"rubber_sheet_filter_size",
|
||
"dense_window_width",
|
||
"dense_window_height",
|
||
"dense_search_width",
|
||
"dense_search_height",
|
||
"dense_skip_width",
|
||
"dense_skip_height",
|
||
):
|
||
if int_key not in normalized or normalized[int_key] is None:
|
||
continue
|
||
try:
|
||
numeric_value = float(normalized[int_key])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError(f"{int_key} must be numeric") from exc
|
||
if int(numeric_value) != numeric_value:
|
||
raise ValueError(f"{int_key} must be an integer")
|
||
if int(numeric_value) <= 0:
|
||
raise ValueError(f"{int_key} must be greater than 0")
|
||
normalized[int_key] = int(numeric_value)
|
||
|
||
if "orbit_margin_sec" in normalized and normalized["orbit_margin_sec"] is not None:
|
||
try:
|
||
orbit_margin = float(normalized["orbit_margin_sec"])
|
||
except (TypeError, ValueError) as exc:
|
||
raise ValueError("精轨裁剪时间余量必须为数字。") from exc
|
||
if orbit_margin < ORBIT_MARGIN_MIN_SEC or orbit_margin > ORBIT_MARGIN_MAX_SEC:
|
||
raise ValueError(
|
||
f"精轨裁剪时间余量必须在 {int(ORBIT_MARGIN_MIN_SEC)} 到 {int(ORBIT_MARGIN_MAX_SEC)} 秒之间。"
|
||
)
|
||
normalized["orbit_margin_sec"] = orbit_margin
|
||
|
||
if "full_geocode" in normalized:
|
||
normalized["full_geocode"] = bool(normalized["full_geocode"])
|
||
|
||
if "resume_from" in normalized and normalized["resume_from"] is not None:
|
||
resume_from = str(normalized["resume_from"]).strip().lower()
|
||
if resume_from not in RESUME_STAGE_CHOICES:
|
||
raise ValueError("resume_from must be one of: unwrap, geocode, export")
|
||
normalized["resume_from"] = resume_from
|
||
|
||
if bool(normalized.get("force")) and str(normalized.get("resume_from") or "").strip():
|
||
raise ValueError("force cannot be used together with resume_from")
|
||
|
||
return normalized
|
||
|
||
# ------------------------------------------------------------------
|
||
# Availability
|
||
# ------------------------------------------------------------------
|
||
|
||
def check_available(self) -> EngineAvailability:
|
||
if not self._enabled:
|
||
return EngineAvailability(
|
||
engine_code=self.engine_code,
|
||
status="unavailable",
|
||
available=False,
|
||
checks=[
|
||
{
|
||
"name": "ISCE2_ENABLED",
|
||
"ok": False,
|
||
"detail": "ISCE2_ENABLED=false",
|
||
}
|
||
],
|
||
message="ISCE2 is disabled. Set ISCE2_ENABLED=true to enable it.",
|
||
)
|
||
|
||
from ..services.wsl_service import check_wsl_environment
|
||
|
||
report = check_wsl_environment(
|
||
distro=self._distro,
|
||
python_cmd=self._python,
|
||
stripmap_app_path=self._stripmap_app,
|
||
pipeline_script_path=self._pipeline_script,
|
||
dem_path_win=self._dem_path,
|
||
orbit_dir_win=self._orbit_pool_isce2,
|
||
output_dir_win=self._output_root,
|
||
smoke_test=self._smoke_test,
|
||
)
|
||
|
||
checks_list = [
|
||
{"name": check.name, "ok": check.ok, "detail": check.detail, "skipped": check.skipped}
|
||
for check in report.checks
|
||
]
|
||
|
||
if report.overall_ok:
|
||
status = "ok"
|
||
available = True
|
||
else:
|
||
critical_failed = [check for check in report.checks if not check.ok and not check.skipped]
|
||
status = "unavailable" if critical_failed else "degraded"
|
||
available = False
|
||
|
||
return EngineAvailability(
|
||
engine_code=self.engine_code,
|
||
status=status,
|
||
available=available,
|
||
checks=checks_list,
|
||
message=report.message,
|
||
)
|
||
|
||
# ------------------------------------------------------------------
|
||
# Task discovery
|
||
# ------------------------------------------------------------------
|
||
|
||
def _has_completed_task_result(self, task_dir: str, profile_code: str) -> bool:
|
||
task_name = os.path.basename(os.path.normpath(task_dir))
|
||
pair_meta = find_json_sidecar(task_dir, PAIR_META_FILENAME, max_levels=0) or {}
|
||
task_alias = str(pair_meta.get("task_alias") or task_name).strip() or task_name
|
||
satellite_family = normalize_satellite_family(
|
||
pair_meta.get("master_satellite") or pair_meta.get("slave_satellite")
|
||
)
|
||
pair_key = str(pair_meta.get("pair_key") or "").strip() or build_fallback_pair_key(
|
||
task_alias,
|
||
task_dir,
|
||
satellite_family=satellite_family,
|
||
)
|
||
pointer_path = os.path.join(
|
||
settings.DINSAR_PRODUCT_DIR,
|
||
pair_key,
|
||
"current",
|
||
f"{self.engine_code}__{str(profile_code or '').strip()}.json",
|
||
)
|
||
if not os.path.isfile(pointer_path):
|
||
return False
|
||
|
||
payload = _load_json_file(pointer_path)
|
||
if str(payload.get("status") or "").strip().upper() != "COMPLETED":
|
||
return False
|
||
|
||
primary_file = _normalize_optional_path(payload.get("primary_file"))
|
||
source_files = payload.get("source_files") if isinstance(payload.get("source_files"), list) else []
|
||
validation = validate_isce2_result_files(primary_file, source_files)
|
||
if not bool(validation.get("accepted")):
|
||
return False
|
||
|
||
manifest_path = _normalize_optional_path(payload.get("manifest_path"))
|
||
if manifest_path and os.path.isfile(manifest_path):
|
||
return True
|
||
|
||
output_dir = _normalize_optional_path(payload.get("output_dir"))
|
||
if output_dir and os.path.isfile(os.path.join(output_dir, "execution_manifest.json")):
|
||
return True
|
||
return False
|
||
|
||
def validate_root_dir(
|
||
self,
|
||
root_dir: str,
|
||
num_to_process: int = 0,
|
||
rerun_mode: str = "rerun_all",
|
||
) -> Dict[str, Any]:
|
||
normalized_root = os.path.normpath(os.path.abspath(str(root_dir or "").strip()))
|
||
if not root_dir or not os.path.isdir(normalized_root):
|
||
raise ValueError(f"ISCE2 root_dir does not exist or is not a directory: {root_dir}")
|
||
|
||
if self._looks_like_task_dir(normalized_root):
|
||
task_dirs = [normalized_root]
|
||
invalid_candidates: List[Dict[str, Any]] = []
|
||
mode = "single_task_dir"
|
||
else:
|
||
task_dirs = []
|
||
invalid_candidates = []
|
||
for entry in self._iter_child_dirs(normalized_root):
|
||
if not entry.name.lower().startswith("task_"):
|
||
continue
|
||
missing = self._missing_task_subdirs(entry.path)
|
||
if missing:
|
||
invalid_candidates.append(
|
||
{"name": entry.name, "path": entry.path, "missing_subdirs": missing}
|
||
)
|
||
continue
|
||
task_dirs.append(os.path.normpath(entry.path))
|
||
mode = "task_root_dir"
|
||
|
||
if not task_dirs:
|
||
detail = ""
|
||
if invalid_candidates:
|
||
formatted = ", ".join(
|
||
f"{item['name']} missing {','.join(item['missing_subdirs'])}"
|
||
for item in invalid_candidates[:5]
|
||
)
|
||
detail = f" Invalid candidates: {formatted}."
|
||
raise ValueError(
|
||
"ISCE2 root_dir must be either a single task directory containing "
|
||
"'master' and 'slave', or a parent directory containing valid Task_* subdirectories."
|
||
f"{detail}"
|
||
)
|
||
|
||
discovered_task_count = len(task_dirs)
|
||
skipped_completed_count = 0
|
||
selected_task_dirs = task_dirs
|
||
if _normalize_rerun_mode(rerun_mode) == RERUN_MODE_UNFINISHED_ONLY:
|
||
selected_task_dirs = []
|
||
for task_dir in task_dirs:
|
||
if self._has_completed_task_result(task_dir, "lt1_stripmap"):
|
||
skipped_completed_count += 1
|
||
continue
|
||
selected_task_dirs.append(task_dir)
|
||
|
||
selected_count = int(num_to_process or 0)
|
||
if selected_count > 0:
|
||
selected_task_dirs = selected_task_dirs[:selected_count]
|
||
|
||
return {
|
||
"root_dir": normalized_root,
|
||
"mode": mode,
|
||
"task_dirs": selected_task_dirs,
|
||
"task_count": len(selected_task_dirs),
|
||
"selected_task_count": len(selected_task_dirs),
|
||
"discovered_task_count": discovered_task_count,
|
||
"skipped_completed_count": skipped_completed_count,
|
||
"invalid_candidates": invalid_candidates,
|
||
}
|
||
|
||
def _build_lt1_manifest_payload(
|
||
self,
|
||
*,
|
||
request: RunRequest,
|
||
task_dir: str,
|
||
task_name: str,
|
||
task_alias: str,
|
||
pair_key: str,
|
||
run_key: str,
|
||
work_dir: str,
|
||
output_dir: str,
|
||
orbit_output_dir: str,
|
||
wsl_task_dir: str,
|
||
wsl_work_dir: str,
|
||
wsl_output_dir: str,
|
||
wsl_orbit_output_dir: str,
|
||
wsl_orbit_root: str,
|
||
wsl_dem: str,
|
||
force: bool,
|
||
target_grid_size_m: int,
|
||
bbox: str,
|
||
coh_threshold: Any,
|
||
reference_mode: str,
|
||
reference_coh_threshold: Any,
|
||
deramp_mode: str,
|
||
deramp_coh_threshold: Any,
|
||
bbox_margin: Any,
|
||
dense_offsets: bool,
|
||
rubbersheet_range: bool,
|
||
rubbersheet_azimuth: bool,
|
||
ionosphere_correction: bool,
|
||
rubber_sheet_snr_threshold: Any,
|
||
rubber_sheet_filter_size: Any,
|
||
dense_window_width: Any,
|
||
dense_window_height: Any,
|
||
dense_search_width: Any,
|
||
dense_search_height: Any,
|
||
dense_skip_width: Any,
|
||
dense_skip_height: Any,
|
||
wavelength: Any,
|
||
orbit_margin_sec: Any,
|
||
full_geocode: bool,
|
||
resume_from: str,
|
||
pair_meta: Dict[str, Any],
|
||
) -> Dict[str, Any]:
|
||
return {
|
||
"job_id": request.job_id,
|
||
"profile": request.profile,
|
||
"task_name": task_name,
|
||
"task_alias": task_alias,
|
||
"pair_key": pair_key,
|
||
"run_key": run_key,
|
||
"paths": {
|
||
"source_root_windows": os.path.normpath(
|
||
str((request.extra or {}).get("__source_root_override") or request.root_dir)
|
||
),
|
||
"task_dir_windows": os.path.normpath(task_dir),
|
||
"task_dir_wsl": wsl_task_dir,
|
||
"work_dir_windows": work_dir,
|
||
"work_dir_wsl": wsl_work_dir,
|
||
"output_dir_windows": output_dir,
|
||
"output_dir_wsl": wsl_output_dir,
|
||
"orbit_output_dir_windows": orbit_output_dir,
|
||
"orbit_output_dir_wsl": wsl_orbit_output_dir,
|
||
"orbit_root_windows": self._orbit_pool_isce2,
|
||
"orbit_root_wsl": wsl_orbit_root,
|
||
"dem_path_windows": self._dem_path,
|
||
"dem_path_wsl": wsl_dem,
|
||
},
|
||
"params": {
|
||
"force": bool(force),
|
||
"target_grid_size_m": int(target_grid_size_m),
|
||
"bbox": str(bbox or "").strip(),
|
||
"coh_threshold": coh_threshold,
|
||
"reference_mode": str(reference_mode or "").strip(),
|
||
"reference_coh_threshold": reference_coh_threshold,
|
||
"deramp_mode": str(deramp_mode or "").strip(),
|
||
"deramp_coh_threshold": deramp_coh_threshold,
|
||
"bbox_margin": bbox_margin,
|
||
"dense_offsets": bool(dense_offsets),
|
||
"rubbersheet_range": bool(rubbersheet_range),
|
||
"rubbersheet_azimuth": bool(rubbersheet_azimuth),
|
||
"ionosphere_correction": bool(ionosphere_correction),
|
||
"rubber_sheet_snr_threshold": rubber_sheet_snr_threshold,
|
||
"rubber_sheet_filter_size": rubber_sheet_filter_size,
|
||
"dense_window_width": dense_window_width,
|
||
"dense_window_height": dense_window_height,
|
||
"dense_search_width": dense_search_width,
|
||
"dense_search_height": dense_search_height,
|
||
"dense_skip_width": dense_skip_width,
|
||
"dense_skip_height": dense_skip_height,
|
||
"wavelength": wavelength,
|
||
"orbit_margin_sec": orbit_margin_sec,
|
||
"full_geocode": bool(full_geocode),
|
||
"resume_from": str(resume_from or "").strip(),
|
||
"split_spectrum": bool(ionosphere_correction),
|
||
},
|
||
"pair_meta": dict(pair_meta or {}),
|
||
}
|
||
|
||
@staticmethod
|
||
def _iter_child_dirs(root_dir: str):
|
||
with os.scandir(root_dir) as entries:
|
||
child_dirs = [entry for entry in entries if entry.is_dir()]
|
||
child_dirs.sort(key=lambda entry: entry.name.lower())
|
||
return child_dirs
|
||
|
||
@staticmethod
|
||
def _missing_task_subdirs(task_dir: str) -> List[str]:
|
||
missing: List[str] = []
|
||
for subdir in ("master", "slave"):
|
||
if not os.path.isdir(os.path.join(task_dir, subdir)):
|
||
missing.append(subdir)
|
||
return missing
|
||
|
||
def _looks_like_task_dir(self, task_dir: str) -> bool:
|
||
return not self._missing_task_subdirs(task_dir)
|
||
|
||
# ------------------------------------------------------------------
|
||
# Run
|
||
# ------------------------------------------------------------------
|
||
|
||
def run(self, request: RunRequest) -> RunResult:
|
||
if not self._enabled:
|
||
return RunResult(
|
||
success=False,
|
||
engine_code=self.engine_code,
|
||
profile=request.profile,
|
||
job_id=request.job_id,
|
||
error="ISCE2 is disabled.",
|
||
)
|
||
|
||
if request.profile != "lt1_stripmap":
|
||
return RunResult(
|
||
success=False,
|
||
engine_code=self.engine_code,
|
||
profile=request.profile,
|
||
job_id=request.job_id,
|
||
error=f"Unknown profile: {request.profile}",
|
||
)
|
||
|
||
return self._run_lt1_stripmap(request)
|
||
|
||
def _run_lt1_stripmap(self, request: RunRequest) -> RunResult:
|
||
from ..services.wsl_broker import wsl_broker
|
||
from ..services.wsl_runtime_registry import get_wsl_runtime
|
||
from ..services.wsl_service import windows_path_to_wsl
|
||
|
||
extra = self.normalize_extra(request.extra)
|
||
validation = self.validate_root_dir(
|
||
request.root_dir,
|
||
request.num_to_process,
|
||
str((request.extra or {}).get("__rerun_mode") or "rerun_all"),
|
||
)
|
||
task_dirs: List[str] = validation["task_dirs"]
|
||
total_tasks = len(task_dirs)
|
||
run_started_at = datetime.utcnow()
|
||
run_started_at_text = run_started_at.isoformat(timespec="seconds") + "Z"
|
||
run_key = str(extra.get("__managed_run_key") or "").strip() or build_run_key(
|
||
self.engine_code,
|
||
request.profile,
|
||
started_at=run_started_at,
|
||
)
|
||
progress_callback = request.progress_callback
|
||
runtime = get_wsl_runtime(self._runtime_id)
|
||
managed_run_dir_override = _normalize_optional_path(extra.get("__managed_run_dir"))
|
||
managed_native_output_dir_override = _normalize_optional_path(extra.get("__managed_native_output_dir"))
|
||
managed_work_dir_override = _normalize_optional_path(extra.get("__managed_work_dir"))
|
||
managed_export_dir_override = _normalize_optional_path(extra.get("__managed_export_dir"))
|
||
managed_orbit_output_dir_override = _normalize_optional_path(extra.get("__managed_orbit_output_dir"))
|
||
source_root_override = _normalize_optional_path(extra.get("__source_root_override")) or os.path.normpath(request.root_dir)
|
||
has_managed_override = any(
|
||
[
|
||
managed_run_dir_override,
|
||
managed_native_output_dir_override,
|
||
managed_work_dir_override,
|
||
managed_export_dir_override,
|
||
managed_orbit_output_dir_override,
|
||
]
|
||
)
|
||
if has_managed_override and total_tasks > 1:
|
||
return RunResult(
|
||
success=False,
|
||
engine_code=self.engine_code,
|
||
profile=request.profile,
|
||
job_id=request.job_id,
|
||
error="Managed ISCE2 directory overrides require a single task request.",
|
||
)
|
||
|
||
def emit_progress(event_type: str, **payload: Any) -> None:
|
||
if not callable(progress_callback):
|
||
return
|
||
try:
|
||
progress_callback({"event": event_type, **payload})
|
||
except Exception:
|
||
return
|
||
|
||
timeout = max(60, int(request.timeout_seconds or self.default_timeout_seconds))
|
||
force = bool(extra.get("force"))
|
||
target_grid_size_m = int(extra.get("target_grid_size_m", DEFAULT_TARGET_GRID_SIZE_M))
|
||
bbox = extra.get("bbox", "")
|
||
coh_threshold = extra.get("coh_threshold", DEFAULT_COH_THRESHOLD)
|
||
reference_mode = str(
|
||
extra.get("reference_mode", DEFAULT_REFERENCE_MODE) or DEFAULT_REFERENCE_MODE
|
||
).strip().lower()
|
||
reference_coh_threshold = extra.get(
|
||
"reference_coh_threshold",
|
||
DEFAULT_REFERENCE_COH_THRESHOLD,
|
||
)
|
||
deramp_mode = str(
|
||
extra.get("deramp_mode", DEFAULT_DERAMP_MODE) or DEFAULT_DERAMP_MODE
|
||
).strip().lower()
|
||
deramp_coh_threshold = extra.get(
|
||
"deramp_coh_threshold",
|
||
DEFAULT_DERAMP_COH_THRESHOLD,
|
||
)
|
||
bbox_margin = extra.get("bbox_margin", DEFAULT_BBOX_MARGIN)
|
||
ionosphere_correction = bool(
|
||
extra.get("ionosphere_correction", DEFAULT_IONOSPHERE_CORRECTION)
|
||
)
|
||
dense_offsets = bool(extra.get("dense_offsets", DEFAULT_DENSE_OFFSETS))
|
||
rubbersheet_range = bool(extra.get("rubbersheet_range", DEFAULT_RUBBERSHEET_RANGE))
|
||
rubbersheet_azimuth = bool(extra.get("rubbersheet_azimuth", DEFAULT_RUBBERSHEET_AZIMUTH))
|
||
rubber_sheet_snr_threshold = extra.get(
|
||
"rubber_sheet_snr_threshold",
|
||
DEFAULT_RUBBER_SHEET_SNR_THRESHOLD,
|
||
)
|
||
rubber_sheet_filter_size = extra.get(
|
||
"rubber_sheet_filter_size",
|
||
DEFAULT_RUBBER_SHEET_FILTER_SIZE,
|
||
)
|
||
dense_window_width = extra.get("dense_window_width", DEFAULT_DENSE_WINDOW_WIDTH)
|
||
dense_window_height = extra.get("dense_window_height", DEFAULT_DENSE_WINDOW_HEIGHT)
|
||
dense_search_width = extra.get("dense_search_width", DEFAULT_DENSE_SEARCH_WIDTH)
|
||
dense_search_height = extra.get("dense_search_height", DEFAULT_DENSE_SEARCH_HEIGHT)
|
||
dense_skip_width = extra.get("dense_skip_width", DEFAULT_DENSE_SKIP_WIDTH)
|
||
dense_skip_height = extra.get("dense_skip_height", DEFAULT_DENSE_SKIP_HEIGHT)
|
||
wavelength = LT1_FIXED_WAVELENGTH
|
||
orbit_margin_sec = extra.get("orbit_margin_sec", ORBIT_MARGIN_MIN_SEC)
|
||
full_geocode = bool(extra.get("full_geocode"))
|
||
resume_from = str(extra.get("resume_from") or "").strip().lower()
|
||
|
||
wsl_isce2_pool = ""
|
||
if self._orbit_pool_isce2:
|
||
wsl_isce2_pool = windows_path_to_wsl(self._orbit_pool_isce2, distro=runtime.distro)
|
||
|
||
wsl_dem = ""
|
||
if self._dem_path:
|
||
wsl_dem = windows_path_to_wsl(self._dem_path, distro=runtime.distro)
|
||
|
||
task_results: List[Dict[str, Any]] = []
|
||
output_dirs: List[str] = []
|
||
pairs_processed = 0
|
||
pairs_failed = 0
|
||
|
||
for pair_index, task_dir in enumerate(task_dirs, start=1):
|
||
task_name = os.path.basename(os.path.normpath(task_dir))
|
||
pair_meta = find_json_sidecar(task_dir, PAIR_META_FILENAME, max_levels=0) or {}
|
||
task_alias = str(pair_meta.get("task_alias") or task_name).strip() or task_name
|
||
satellite_family = normalize_satellite_family(
|
||
pair_meta.get("master_satellite") or pair_meta.get("slave_satellite")
|
||
)
|
||
pair_key = str(pair_meta.get("pair_key") or "").strip() or build_fallback_pair_key(
|
||
task_alias,
|
||
task_dir,
|
||
satellite_family=satellite_family,
|
||
)
|
||
output_root = self._output_root or os.path.join(task_dir, "isce2_output")
|
||
run_dir = managed_run_dir_override or os.path.normpath(
|
||
os.path.join(output_root, pair_key, "runs", run_key)
|
||
)
|
||
native_output_dir = managed_native_output_dir_override or os.path.join(run_dir, "native")
|
||
work_dir = managed_work_dir_override or os.path.join(native_output_dir, "workflow")
|
||
export_dir = managed_export_dir_override or os.path.join(native_output_dir, "export")
|
||
orbit_output_dir = managed_orbit_output_dir_override or os.path.join(work_dir, "orbits")
|
||
wsl_task_dir = windows_path_to_wsl(task_dir, distro=runtime.distro)
|
||
wsl_work_dir = windows_path_to_wsl(work_dir, distro=runtime.distro)
|
||
wsl_output_dir = windows_path_to_wsl(export_dir, distro=runtime.distro)
|
||
wsl_orbit_output_dir = windows_path_to_wsl(orbit_output_dir, distro=runtime.distro)
|
||
emit_progress(
|
||
"pair_started",
|
||
pair_index=pair_index,
|
||
pair_total=total_tasks,
|
||
task_name=task_name,
|
||
task_alias=task_alias,
|
||
pair_key=pair_key,
|
||
task_dir=task_dir,
|
||
work_dir=work_dir,
|
||
output_dir=run_dir,
|
||
)
|
||
if not wsl_task_dir:
|
||
pairs_failed += 1
|
||
error_text = f"Unable to convert task dir to WSL path: {task_dir}"
|
||
emit_progress(
|
||
"pair_finished",
|
||
pair_index=pair_index,
|
||
pair_total=total_tasks,
|
||
task_name=task_name,
|
||
task_alias=task_alias,
|
||
pair_key=pair_key,
|
||
success=False,
|
||
returncode=-2,
|
||
error=error_text,
|
||
)
|
||
task_results.append(
|
||
{
|
||
"task_name": task_name,
|
||
"task_alias": task_alias,
|
||
"pair_key": pair_key,
|
||
"run_key": run_key,
|
||
"task_dir": task_dir,
|
||
"run_dir": run_dir,
|
||
"native_output_dir": native_output_dir,
|
||
"work_dir": work_dir,
|
||
"output_dir": run_dir,
|
||
"export_dir": export_dir,
|
||
"success": False,
|
||
"returncode": -2,
|
||
"error": error_text,
|
||
"stdout_tail": "",
|
||
"stderr_tail": "",
|
||
"command": "",
|
||
"wsl_task_dir": "",
|
||
"wsl_work_dir": "",
|
||
"wsl_output_dir": "",
|
||
}
|
||
)
|
||
continue
|
||
if not wsl_work_dir or not wsl_output_dir or not wsl_orbit_output_dir:
|
||
pairs_failed += 1
|
||
error_text = "Unable to convert ISCE2 work/output paths to WSL paths."
|
||
emit_progress(
|
||
"pair_finished",
|
||
pair_index=pair_index,
|
||
pair_total=total_tasks,
|
||
task_name=task_name,
|
||
task_alias=task_alias,
|
||
pair_key=pair_key,
|
||
success=False,
|
||
returncode=-2,
|
||
error=error_text,
|
||
)
|
||
task_results.append(
|
||
{
|
||
"task_name": task_name,
|
||
"task_alias": task_alias,
|
||
"pair_key": pair_key,
|
||
"run_key": run_key,
|
||
"task_dir": task_dir,
|
||
"run_dir": run_dir,
|
||
"native_output_dir": native_output_dir,
|
||
"work_dir": work_dir,
|
||
"output_dir": run_dir,
|
||
"export_dir": export_dir,
|
||
"success": False,
|
||
"returncode": -2,
|
||
"error": error_text,
|
||
"stdout_tail": "",
|
||
"stderr_tail": "",
|
||
"command": "",
|
||
"wsl_task_dir": wsl_task_dir,
|
||
"wsl_work_dir": wsl_work_dir,
|
||
"wsl_output_dir": wsl_output_dir,
|
||
}
|
||
)
|
||
continue
|
||
|
||
manifest_payload = self._build_lt1_manifest_payload(
|
||
request=request,
|
||
task_dir=task_dir,
|
||
task_name=task_name,
|
||
task_alias=task_alias,
|
||
pair_key=pair_key,
|
||
run_key=run_key,
|
||
work_dir=work_dir,
|
||
output_dir=export_dir,
|
||
orbit_output_dir=orbit_output_dir,
|
||
wsl_task_dir=wsl_task_dir,
|
||
wsl_work_dir=wsl_work_dir,
|
||
wsl_output_dir=wsl_output_dir,
|
||
wsl_orbit_output_dir=wsl_orbit_output_dir,
|
||
wsl_orbit_root=wsl_isce2_pool,
|
||
wsl_dem=wsl_dem,
|
||
force=force,
|
||
target_grid_size_m=target_grid_size_m,
|
||
bbox=bbox,
|
||
coh_threshold=coh_threshold,
|
||
reference_mode=reference_mode,
|
||
reference_coh_threshold=reference_coh_threshold,
|
||
deramp_mode=deramp_mode,
|
||
deramp_coh_threshold=deramp_coh_threshold,
|
||
bbox_margin=bbox_margin,
|
||
dense_offsets=dense_offsets,
|
||
rubbersheet_range=rubbersheet_range,
|
||
rubbersheet_azimuth=rubbersheet_azimuth,
|
||
ionosphere_correction=ionosphere_correction,
|
||
rubber_sheet_snr_threshold=rubber_sheet_snr_threshold,
|
||
rubber_sheet_filter_size=rubber_sheet_filter_size,
|
||
dense_window_width=dense_window_width,
|
||
dense_window_height=dense_window_height,
|
||
dense_search_width=dense_search_width,
|
||
dense_search_height=dense_search_height,
|
||
dense_skip_width=dense_skip_width,
|
||
dense_skip_height=dense_skip_height,
|
||
wavelength=wavelength,
|
||
orbit_margin_sec=orbit_margin_sec,
|
||
full_geocode=full_geocode,
|
||
resume_from=resume_from,
|
||
pair_meta=pair_meta,
|
||
)
|
||
broker_result = wsl_broker.run_manifest(
|
||
runtime_id=runtime.runtime_id,
|
||
operation="lt1_stripmap",
|
||
payload=manifest_payload,
|
||
job_id=f"{request.job_id}_{pair_key}",
|
||
timeout_seconds=timeout,
|
||
)
|
||
rc = broker_result.returncode
|
||
stdout = broker_result.stdout
|
||
stderr = broker_result.stderr
|
||
command = _join_argv_for_log(list(broker_result.argv))
|
||
|
||
success = False
|
||
layout_result: Dict[str, Any] = {}
|
||
validation_result: Dict[str, Any] = {}
|
||
error_text = stderr.strip() if stderr else ""
|
||
if rc == 0:
|
||
try:
|
||
os.makedirs(run_dir, exist_ok=True)
|
||
export_outputs = _find_isce2_export_outputs(export_dir)
|
||
disp_path = export_outputs.get("disp", "")
|
||
coh_path = export_outputs.get("coh", "")
|
||
if not disp_path:
|
||
raise FileNotFoundError(
|
||
f"No ISCE2 displacement GeoTIFF found under export dir: {export_dir}"
|
||
)
|
||
|
||
source_files = [disp_path]
|
||
if coh_path:
|
||
source_files.append(coh_path)
|
||
validation_result = validate_isce2_result_files(disp_path, source_files)
|
||
if not bool(validation_result.get("accepted")):
|
||
issues = validation_result.get("issues") or []
|
||
issue_text = "; ".join(str(item) for item in issues[:3]) or "unknown validation error"
|
||
raise RuntimeError(f"ISCE2 output validation failed: {issue_text}")
|
||
|
||
layout_result = normalize_isce2_run_layout(
|
||
run_dir,
|
||
primary_file=str(validation_result.get("primary_file") or disp_path),
|
||
source_files=list(validation_result.get("source_files") or source_files),
|
||
rewrite_metadata=False,
|
||
)
|
||
write_run_metadata(
|
||
run_dir,
|
||
{
|
||
"run_key": run_key,
|
||
"pair_key": pair_key,
|
||
"task_name": task_name,
|
||
"task_alias": task_alias,
|
||
"engine_code": self.engine_code,
|
||
"profile_code": request.profile,
|
||
"source_root": source_root_override,
|
||
"task_dir": os.path.normpath(task_dir),
|
||
"work_dir": work_dir,
|
||
"export_dir": export_dir,
|
||
"output_dir": run_dir,
|
||
"native_output_dir": layout_result["native_output_dir"],
|
||
"orbit_output_dir": orbit_output_dir,
|
||
"runtime_id": runtime.runtime_id,
|
||
"manifest_path_windows": broker_result.manifest.manifest_path_windows,
|
||
"manifest_path_wsl": broker_result.manifest.manifest_path_wsl,
|
||
"started_at": run_started_at_text,
|
||
"finished_at": datetime.utcnow().isoformat(timespec="seconds") + "Z",
|
||
"primary_file": layout_result["primary_file"],
|
||
"source_files": layout_result["source_files"],
|
||
"acceptance": validation_result,
|
||
"params": {
|
||
"force": force,
|
||
"target_grid_size_m": target_grid_size_m,
|
||
"bbox": bbox,
|
||
"coh_threshold": coh_threshold,
|
||
"reference_mode": reference_mode,
|
||
"reference_coh_threshold": reference_coh_threshold,
|
||
"deramp_mode": deramp_mode,
|
||
"deramp_coh_threshold": deramp_coh_threshold,
|
||
"bbox_margin": bbox_margin,
|
||
"ionosphere_correction": ionosphere_correction,
|
||
"dense_offsets": dense_offsets,
|
||
"rubbersheet_range": rubbersheet_range,
|
||
"rubbersheet_azimuth": rubbersheet_azimuth,
|
||
"rubber_sheet_snr_threshold": rubber_sheet_snr_threshold,
|
||
"rubber_sheet_filter_size": rubber_sheet_filter_size,
|
||
"dense_window_width": dense_window_width,
|
||
"dense_window_height": dense_window_height,
|
||
"dense_search_width": dense_search_width,
|
||
"dense_search_height": dense_search_height,
|
||
"dense_skip_width": dense_skip_width,
|
||
"dense_skip_height": dense_skip_height,
|
||
"wavelength": wavelength,
|
||
"orbit_margin_sec": orbit_margin_sec,
|
||
"split_spectrum": ionosphere_correction,
|
||
"ionosphere_correction": ionosphere_correction,
|
||
},
|
||
"master_path": pair_meta.get("master_path"),
|
||
"slave_path": pair_meta.get("slave_path"),
|
||
"master_satellite": pair_meta.get("master_satellite"),
|
||
"slave_satellite": pair_meta.get("slave_satellite"),
|
||
"master_imaging_date": pair_meta.get("master_imaging_date"),
|
||
"slave_imaging_date": pair_meta.get("slave_imaging_date"),
|
||
"master_imaging_mode": pair_meta.get("master_imaging_mode"),
|
||
"slave_imaging_mode": pair_meta.get("slave_imaging_mode"),
|
||
"master_polarization": pair_meta.get("master_polarization"),
|
||
"slave_polarization": pair_meta.get("slave_polarization"),
|
||
"time_baseline_days": pair_meta.get("time_baseline_days"),
|
||
"spatial_baseline_meters": pair_meta.get("spatial_baseline_meters"),
|
||
"scene_center_distance_meters": pair_meta.get("scene_center_distance_meters"),
|
||
"scene_pair_uid": pair_meta.get("scene_pair_uid") or pair_meta.get("pair_uid"),
|
||
"pair_uid": pair_meta.get("pair_uid") or pair_meta.get("scene_pair_uid"),
|
||
"network_run_id": pair_meta.get("network_run_id"),
|
||
"network_edge_id": pair_meta.get("network_edge_id"),
|
||
"policy_version": pair_meta.get("policy_version"),
|
||
"selection_strategy": pair_meta.get("selection_strategy"),
|
||
},
|
||
)
|
||
output_dirs.append(run_dir)
|
||
pairs_processed += 1
|
||
success = True
|
||
except Exception as exc:
|
||
error_text = str(exc)
|
||
if stderr:
|
||
stderr = stderr.rstrip() + "\n" + error_text
|
||
else:
|
||
stderr = error_text
|
||
|
||
if not success:
|
||
pairs_failed += 1
|
||
|
||
emit_progress(
|
||
"pair_finished",
|
||
pair_index=pair_index,
|
||
pair_total=total_tasks,
|
||
task_name=task_name,
|
||
task_alias=task_alias,
|
||
pair_key=pair_key,
|
||
success=success,
|
||
returncode=rc,
|
||
error=error_text,
|
||
)
|
||
task_results.append(
|
||
{
|
||
"task_name": task_name,
|
||
"task_alias": task_alias,
|
||
"pair_key": pair_key,
|
||
"run_key": run_key,
|
||
"task_dir": task_dir,
|
||
"run_dir": run_dir,
|
||
"native_output_dir": (
|
||
layout_result.get("native_output_dir")
|
||
or native_output_dir
|
||
),
|
||
"work_dir": work_dir,
|
||
"output_dir": run_dir,
|
||
"export_dir": export_dir,
|
||
"primary_file": layout_result.get("primary_file", ""),
|
||
"source_files": layout_result.get("source_files", []),
|
||
"validation": validation_result,
|
||
"wsl_task_dir": wsl_task_dir,
|
||
"wsl_work_dir": wsl_work_dir,
|
||
"wsl_output_dir": wsl_output_dir,
|
||
"runtime_id": runtime.runtime_id,
|
||
"command": command,
|
||
"runner_argv": list(broker_result.argv),
|
||
"manifest_path_windows": broker_result.manifest.manifest_path_windows,
|
||
"manifest_path_wsl": broker_result.manifest.manifest_path_wsl,
|
||
"success": success,
|
||
"returncode": rc,
|
||
"stdout_tail": stdout[-3000:] if stdout else "",
|
||
"stderr_tail": stderr[-3000:] if stderr else "",
|
||
"error": error_text,
|
||
}
|
||
)
|
||
|
||
invalid_candidates = validation.get("invalid_candidates", [])
|
||
pairs_failed += len(invalid_candidates)
|
||
|
||
overall_success = pairs_processed > 0 or (pairs_processed == 0 and pairs_failed == 0)
|
||
failed_task_names = [
|
||
item["task_name"]
|
||
for item in task_results
|
||
if not item.get("success")
|
||
] + [item["name"] for item in invalid_candidates]
|
||
|
||
error = None
|
||
if not overall_success:
|
||
if failed_task_names:
|
||
error = f"All ISCE2 tasks failed: {', '.join(failed_task_names[:10])}"
|
||
else:
|
||
error = "ISCE2 run failed."
|
||
|
||
last_task_result = task_results[-1] if task_results else {}
|
||
return RunResult(
|
||
success=overall_success,
|
||
engine_code=self.engine_code,
|
||
profile=request.profile,
|
||
job_id=request.job_id,
|
||
pairs_processed=pairs_processed,
|
||
pairs_failed=pairs_failed,
|
||
output_dirs=output_dirs,
|
||
error=error,
|
||
detail={
|
||
"mode": validation["mode"],
|
||
"task_count": len(task_dirs),
|
||
"selected_tasks": [item.get("task_alias") or item.get("task_name") for item in task_results],
|
||
"invalid_candidates": invalid_candidates,
|
||
"task_results": task_results,
|
||
"run_key": run_key,
|
||
"started_at": run_started_at_text,
|
||
"force": force,
|
||
"timeout_seconds": timeout,
|
||
"target_grid_size_m": target_grid_size_m,
|
||
"coh_threshold": coh_threshold,
|
||
"reference_mode": reference_mode,
|
||
"reference_coh_threshold": reference_coh_threshold,
|
||
"deramp_mode": deramp_mode,
|
||
"deramp_coh_threshold": deramp_coh_threshold,
|
||
"bbox_margin": bbox_margin,
|
||
"ionosphere_correction": ionosphere_correction,
|
||
"dense_offsets": dense_offsets,
|
||
"rubbersheet_range": rubbersheet_range,
|
||
"rubbersheet_azimuth": rubbersheet_azimuth,
|
||
"rubber_sheet_snr_threshold": rubber_sheet_snr_threshold,
|
||
"rubber_sheet_filter_size": rubber_sheet_filter_size,
|
||
"dense_window_width": dense_window_width,
|
||
"dense_window_height": dense_window_height,
|
||
"dense_search_width": dense_search_width,
|
||
"dense_search_height": dense_search_height,
|
||
"dense_skip_width": dense_skip_width,
|
||
"dense_skip_height": dense_skip_height,
|
||
"wavelength": wavelength,
|
||
"orbit_margin_sec": orbit_margin_sec,
|
||
"split_spectrum": ionosphere_correction,
|
||
"ionosphere_correction": ionosphere_correction,
|
||
"runtime_id": runtime.runtime_id,
|
||
"command": last_task_result.get("command", ""),
|
||
"runner_argv": last_task_result.get("runner_argv", []),
|
||
"manifest_path_windows": last_task_result.get("manifest_path_windows", ""),
|
||
"manifest_path_wsl": last_task_result.get("manifest_path_wsl", ""),
|
||
"stdout_tail": last_task_result.get("stdout_tail", ""),
|
||
"stderr_tail": last_task_result.get("stderr_tail", ""),
|
||
"wsl_task_dir": last_task_result.get("wsl_task_dir", ""),
|
||
"wsl_work_dir": last_task_result.get("wsl_work_dir", ""),
|
||
"wsl_output_dir": last_task_result.get("wsl_output_dir", ""),
|
||
"wsl_orbit_pool": wsl_isce2_pool,
|
||
"wsl_dem": wsl_dem,
|
||
"wsl_work_root": (
|
||
os.path.dirname(str(last_task_result.get("wsl_work_dir") or "").strip())
|
||
if str(last_task_result.get("wsl_work_dir") or "").strip()
|
||
else (windows_path_to_wsl(self._work_root, distro=runtime.distro) if self._work_root else "")
|
||
),
|
||
"wsl_output_root": (
|
||
os.path.dirname(str(last_task_result.get("wsl_output_dir") or "").strip())
|
||
if str(last_task_result.get("wsl_output_dir") or "").strip()
|
||
else (windows_path_to_wsl(self._output_root, distro=runtime.distro) if self._output_root else "")
|
||
),
|
||
},
|
||
)
|