Files
insar-management-system-v2/backend/app/services/pyint_input_assets_service.py
T
Harmon 5290b071b3 feat(isce2): harden managed production flow
- add one-time base DEM preparation utility and prepared-first DEM resolution

- support geocode resume/full-geocode and guard large unprepared DEMs

- repair missing completion files during in-place ISCE2 publish rebuild

- add ISCE2 stabilization update log
2026-04-27 07:52:20 +08:00

731 lines
26 KiB
Python

"""PyINT input-asset resolution and materialization helpers."""
from __future__ import annotations
import json
import os
import shutil
from datetime import datetime
from typing import Any, Dict, List
from ..config import settings
from .orbit_converter import get_source_orbit_inventory
from .pyint_service import (
discover_lt1_archives,
infer_scene_date_from_archives,
infer_task_identity,
validate_pyint_root_dir,
)
VALID_DEM_MODES = {"local_fabdem", "opentopo", "prepared_file"}
VALID_ORBIT_POLICIES = {"validate_only", "require_txt", "stage_txt"}
VALID_PRECISE_ORBIT_MODES = {"replace", "replace_and_validate"}
def _utc_now_text() -> str:
return datetime.utcnow().isoformat(timespec="seconds") + "Z"
def _normalize_path(path: Any) -> str:
text = str(path or "").strip().strip('"').strip("'")
if not text:
return ""
return os.path.normpath(os.path.abspath(text))
def _copy_json_safe(value: Any) -> Any:
return json.loads(json.dumps(value, ensure_ascii=False, default=str))
def _normalize_lt1_satellite(value: Any) -> str:
text = str(value or "").strip().upper().replace("-", "").replace("_", "")
if "LT1A" in text:
return "LT1A"
if "LT1B" in text:
return "LT1B"
if text in {"A", "LTA"}:
return "LT1A"
if text in {"B", "LTB"}:
return "LT1B"
return ""
def _infer_satellite_from_archives(paths: List[str]) -> str:
satellites = {
satellite
for path in paths
for satellite in [_normalize_lt1_satellite(os.path.basename(path))]
if satellite
}
if len(satellites) == 1:
return next(iter(satellites))
return ""
def _get_dem_mode() -> str:
raw_mode = str(getattr(settings, "PYINT_DEM_MODE", "local_fabdem") or "local_fabdem").strip().lower()
if raw_mode not in VALID_DEM_MODES:
return "local_fabdem"
return raw_mode
def _get_orbit_policy() -> str:
raw_policy = str(getattr(settings, "PYINT_ORBIT_POLICY", "require_txt") or "require_txt").strip().lower()
if raw_policy not in VALID_ORBIT_POLICIES:
return "require_txt"
return raw_policy
def _get_orbit_pool_root() -> str:
explicit = _normalize_path(getattr(settings, "PYINT_ORBIT_POOL_TXT", ""))
if explicit:
return explicit
return _normalize_path(settings.ORBIT_POOL_ENVI)
def get_pyint_precise_orbit_bridge_summary() -> Dict[str, Any]:
mode = str(getattr(settings, "PYINT_LT1_PRECISE_ORBIT_MODE", "replace") or "replace").strip().lower()
if mode not in VALID_PRECISE_ORBIT_MODES:
mode = "replace"
return {
"enabled": bool(getattr(settings, "PYINT_LT1_PRECISE_ORBIT_ENABLED", True)),
"mode": mode,
"strict": bool(getattr(settings, "PYINT_LT1_PRECISE_ORBIT_STRICT", True)),
"validate_with_orb_filt": bool(getattr(settings, "PYINT_LT1_PRECISE_ORBIT_VALIDATE_WITH_ORB_FILT", False)),
"backup": bool(getattr(settings, "PYINT_LT1_PRECISE_ORBIT_BACKUP", True)),
"orb_filt_degree": max(1, int(getattr(settings, "PYINT_LT1_PRECISE_ORBIT_ORB_FILT_DEGREE", 5) or 5)),
}
def _prepared_dem_variants(value: Any) -> List[str]:
text = str(value or "").strip().strip('"').strip("'")
if not text:
return []
normalized = _normalize_path(text)
if not normalized:
return []
root, ext = os.path.splitext(normalized)
if ext.lower() == ".wgs84":
candidates = [normalized, root]
elif not ext:
candidates = [normalized + ".wgs84", normalized]
else:
candidates = [normalized]
unique: List[str] = []
seen: set[str] = set()
for candidate in candidates:
item = _normalize_path(candidate)
if not item or item in seen:
continue
seen.add(item)
unique.append(item)
return unique
def _resolve_prepared_dem_path() -> Dict[str, str]:
explicit_value = getattr(settings, "PYINT_PREPARED_DEM_PATH", "")
explicit_candidates = _prepared_dem_variants(explicit_value)
if str(explicit_value or "").strip():
for candidate in explicit_candidates:
if os.path.isfile(candidate):
return {
"path": candidate,
"resolved_from": "explicit",
}
return {
"path": "",
"resolved_from": "explicit",
}
sources = [
("isce2_dem_path", getattr(settings, "ISCE2_DEM_PATH", "")),
("idl_dinsar_dem_base_file", getattr(settings, "IDL_DINSAR_DEM_BASE_FILE", "")),
]
for source_name, raw_value in sources:
for candidate in _prepared_dem_variants(raw_value):
if os.path.isfile(candidate):
return {
"path": candidate,
"resolved_from": source_name,
}
return {
"path": "",
"resolved_from": "",
}
def _inspect_prepared_dem_path(path: Any) -> Dict[str, Any]:
normalized = _normalize_path(path)
if not normalized:
return {
"path": "",
"exists": False,
"kind": "",
"gamma_par_path": "",
"gamma_par_exists": False,
"xml_path": "",
"xml_exists": False,
"hdr_path": "",
"hdr_exists": False,
"vrt_path": "",
"vrt_exists": False,
"open_path": "",
}
gamma_par_path = normalized + ".par"
xml_path = normalized + ".xml"
hdr_path = normalized + ".hdr"
vrt_path = normalized + ".vrt"
path_exists = os.path.isfile(normalized)
gamma_par_exists = os.path.isfile(gamma_par_path)
xml_exists = os.path.isfile(xml_path)
hdr_exists = os.path.isfile(hdr_path)
vrt_exists = os.path.isfile(vrt_path)
kind = ""
open_path = ""
if path_exists and gamma_par_exists:
kind = "gamma_ready"
open_path = normalized
elif path_exists and (xml_exists or hdr_exists or vrt_exists):
kind = "source_dem"
open_path = vrt_path if vrt_exists else normalized
return {
"path": normalized,
"exists": path_exists,
"kind": kind,
"gamma_par_path": gamma_par_path,
"gamma_par_exists": gamma_par_exists,
"xml_path": xml_path,
"xml_exists": xml_exists,
"hdr_path": hdr_path,
"hdr_exists": hdr_exists,
"vrt_path": vrt_path,
"vrt_exists": vrt_exists,
"open_path": open_path,
}
def get_pyint_dem_summary() -> Dict[str, Any]:
mode = _get_dem_mode()
strict = bool(getattr(settings, "PYINT_DEM_STRICT", True))
cache_root = _normalize_path(settings.PYINT_DEM_ROOT)
fabdem_root = _normalize_path(getattr(settings, "PYINT_FABDEM_ROOT", ""))
prepared_dem_resolution = _resolve_prepared_dem_path()
prepared_dem_info = _inspect_prepared_dem_path(prepared_dem_resolution.get("path"))
opentopo_dem_type = str(getattr(settings, "PYINT_OPENTOPO_DEM_TYPE", "SRTMGL1") or "SRTMGL1").strip() or "SRTMGL1"
opentopo_api_key = str(getattr(settings, "PYINT_OPENTOPO_API_KEY", "") or "").strip()
warnings: List[str] = []
blockers: List[str] = []
source_root = ""
source_exists = False
if mode == "local_fabdem":
source_root = fabdem_root
source_exists = bool(source_root and os.path.isdir(source_root))
elif mode == "prepared_file":
source_root = str(prepared_dem_info.get("path") or "")
source_exists = bool(prepared_dem_info.get("exists"))
cache_root_exists = bool(cache_root and os.path.isdir(cache_root))
if mode == "local_fabdem":
if not fabdem_root:
message = "未配置 PYINT_FABDEM_ROOT。"
if strict:
blockers.append(message)
else:
warnings.append(message)
elif not os.path.isdir(fabdem_root):
message = f"本地 FABDEM 根目录不存在: {fabdem_root}"
if strict:
blockers.append(message)
else:
warnings.append(message)
elif mode == "opentopo":
if not opentopo_api_key:
message = "DEM 策略为 OpenTopography,但未配置 PYINT_OPENTOPO_API_KEY。"
if strict:
blockers.append(message)
else:
warnings.append(message)
elif mode == "prepared_file":
if not prepared_dem_info.get("path"):
if prepared_dem_resolution.get("resolved_from") == "explicit":
message = "PYINT_PREPARED_DEM_PATH 已配置,但目标文件不存在。"
else:
message = (
"未配置 PYINT_PREPARED_DEM_PATH,且未能从 ISCE2_DEM_PATH / "
"IDL_DINSAR_DEM_BASE_FILE 解析现有 DEM。"
)
if strict:
blockers.append(message)
else:
warnings.append(message)
elif prepared_dem_info.get("kind") not in {"gamma_ready", "source_dem"}:
message = (
"现有 DEM 缺少可识别 sidecar,至少需要同名 .par,或 .xml/.hdr/.vrt 中的一个: "
+ str(prepared_dem_info.get("path") or "")
)
if strict:
blockers.append(message)
else:
warnings.append(message)
if not cache_root:
blockers.append("未配置 PYINT_DEM_ROOT。")
elif not cache_root_exists:
warnings.append(f"DEM 缓存目录当前不存在,运行时将尝试创建: {cache_root}")
status = "ok"
if blockers:
status = "blocked"
elif warnings:
status = "warning"
if mode == "local_fabdem":
detail = "使用本地 FABDEM 瓦片目录,由 PyINT 在 DEMDIR 中生成运行期 DEM。"
elif mode == "prepared_file":
if prepared_dem_info.get("kind") == "gamma_ready":
detail = "使用现有 Gamma DEM,运行时将直接注入到 PyINT 模板。"
else:
detail = "使用现有系统 DEM,运行时将按任务覆盖区裁剪并转换为本次任务的 Gamma DEM。"
else:
detail = f"使用 OpenTopography 在线 DEM 源,DEM 类型为 {opentopo_dem_type}。"
return {
"mode": mode,
"strict": strict,
"source_root": source_root,
"source_exists": source_exists,
"cache_root": cache_root,
"cache_root_exists": cache_root_exists,
"fabdem_root": fabdem_root,
"prepared_dem_path": str(prepared_dem_info.get("path") or ""),
"prepared_dem_resolved_from": str(prepared_dem_resolution.get("resolved_from") or ""),
"prepared_dem_kind": str(prepared_dem_info.get("kind") or ""),
"prepared_dem_open_path": str(prepared_dem_info.get("open_path") or ""),
"prepared_dem_support": {
"gamma_par_exists": bool(prepared_dem_info.get("gamma_par_exists")),
"xml_exists": bool(prepared_dem_info.get("xml_exists")),
"hdr_exists": bool(prepared_dem_info.get("hdr_exists")),
"vrt_exists": bool(prepared_dem_info.get("vrt_exists")),
},
"opentopo_dem_type": opentopo_dem_type,
"opentopo_api_key_configured": bool(opentopo_api_key),
"status": status,
"detail": detail,
"warnings": warnings,
"blockers": blockers,
"allow_submit": not blockers,
}
def _load_orbit_inventory() -> Dict[str, Any]:
pool_root = _get_orbit_pool_root()
if not pool_root:
return {
"pool_root": "",
"pool_exists": False,
"files": {},
"warnings": ["未配置 PYINT_ORBIT_POOL_TXT,且 ORBIT_POOL_ENVI 为空。"],
}
if not os.path.isdir(pool_root):
return {
"pool_root": pool_root,
"pool_exists": False,
"files": {},
"warnings": [f"轨道池目录不存在: {pool_root}"],
}
inventory = get_source_orbit_inventory(pool_root, recursive=True)
return {
"pool_root": pool_root,
"pool_exists": True,
"files": inventory.get("files", {}),
"warnings": list(inventory.get("errors", []) or []),
"duplicate_count": int(inventory.get("duplicate_count", 0) or 0),
}
def get_pyint_orbit_context() -> Dict[str, Any]:
return _load_orbit_inventory()
def _resolve_orbit_file(
*,
role: str,
satellite: str,
date_text: str,
pool_root: str,
orbit_files: Dict[str, Dict[str, Any]],
) -> Dict[str, Any]:
satellite_text = _normalize_lt1_satellite(satellite)
normalized_date = str(date_text or "").strip()
expected_name = (
f"{satellite_text}_GpsData_GAS_C_{normalized_date}.txt"
if satellite_text and normalized_date
else ""
)
result: Dict[str, Any] = {
"role": role,
"satellite": satellite_text,
"date": normalized_date,
"expected_name": expected_name,
"pool_root": pool_root,
"resolved": False,
"path": "",
"resolution_method": "",
"staged_path": "",
}
if not satellite_text:
result["error"] = f"{role} 场景未能识别 LT-1 卫星型号。"
return result
if not normalized_date:
result["error"] = f"{role} 场景未能识别成像日期。"
return result
stem = os.path.splitext(expected_name)[0]
item = orbit_files.get(stem)
if item and os.path.isfile(item.get("path", "")):
result.update(
{
"resolved": True,
"path": _normalize_path(item["path"]),
"resolution_method": "indexed_pool_scan",
}
)
return result
direct_candidate = os.path.join(pool_root, satellite_text, expected_name)
if os.path.isfile(direct_candidate):
result.update(
{
"resolved": True,
"path": _normalize_path(direct_candidate),
"resolution_method": "direct_satellite_subdir",
}
)
return result
flat_candidate = os.path.join(pool_root, expected_name)
if os.path.isfile(flat_candidate):
result.update(
{
"resolved": True,
"path": _normalize_path(flat_candidate),
"resolution_method": "direct_pool_root",
}
)
return result
result["error"] = f"轨道池中缺少 {expected_name}"
return result
def resolve_pyint_task_input_assets(
task_dir: str,
*,
dem_summary: Dict[str, Any] | None = None,
orbit_context: Dict[str, Any] | None = None,
) -> Dict[str, Any]:
task_dir = _normalize_path(task_dir)
task_identity = infer_task_identity(task_dir)
pair_meta = task_identity["pair_meta"]
archives = discover_lt1_archives(task_dir)
master_archives = list(archives.get("master", []) or [])
slave_archives = list(archives.get("slave", []) or [])
warnings: List[str] = []
blockers: List[str] = []
master_date = task_identity["master_date"] or infer_scene_date_from_archives(master_archives)
slave_date = task_identity["slave_date"] or infer_scene_date_from_archives(slave_archives)
master_satellite = _normalize_lt1_satellite(pair_meta.get("master_satellite")) or _infer_satellite_from_archives(master_archives)
slave_satellite = _normalize_lt1_satellite(pair_meta.get("slave_satellite")) or _infer_satellite_from_archives(slave_archives)
if not master_archives:
blockers.append("master/ 下未发现 LT-1 原始输入(LT1*.tar.gz 或 LT1*.tiff)。")
if not slave_archives:
blockers.append("slave/ 下未发现 LT-1 原始输入(LT1*.tar.gz 或 LT1*.tiff)。")
if not master_date:
blockers.append("未能识别主影像日期。")
if not slave_date:
blockers.append("未能识别从影像日期。")
orbit_policy = _get_orbit_policy()
orbit_context = orbit_context or get_pyint_orbit_context()
orbit_pool_root = orbit_context.get("pool_root", "")
orbit_pool_exists = bool(orbit_context.get("pool_exists"))
orbit_files = orbit_context.get("files", {}) or {}
orbit_warnings: List[str] = []
if orbit_context.get("warnings"):
orbit_warnings.extend(str(item) for item in orbit_context["warnings"] if item)
master_orbit = _resolve_orbit_file(
role="master",
satellite=master_satellite,
date_text=master_date,
pool_root=orbit_pool_root,
orbit_files=orbit_files,
)
slave_orbit = _resolve_orbit_file(
role="slave",
satellite=slave_satellite,
date_text=slave_date,
pool_root=orbit_pool_root,
orbit_files=orbit_files,
)
for orbit_item in (master_orbit, slave_orbit):
if orbit_item.get("resolved"):
continue
message = str(orbit_item.get("error") or f"{orbit_item.get('role')} 轨道缺失").strip()
if orbit_policy == "validate_only":
orbit_warnings.append(message)
else:
blockers.append(message)
if not orbit_pool_root:
if orbit_policy == "validate_only":
orbit_warnings.append("轨道池未配置,当前仅记录警告。")
else:
blockers.append("轨道池未配置。")
elif not orbit_pool_exists:
if orbit_policy == "validate_only":
orbit_warnings.append(f"轨道池目录不可用: {orbit_pool_root}")
else:
blockers.append(f"轨道池目录不可用: {orbit_pool_root}")
warnings.extend(orbit_warnings)
task_source = {
"task_dir": task_dir,
"task_name": task_identity["task_name"],
"task_alias": task_identity["task_alias"],
"pair_key": task_identity["pair_key"],
"master_date": master_date,
"slave_date": slave_date,
"master_satellite": master_satellite,
"slave_satellite": slave_satellite,
"archives": {
"master": master_archives,
"slave": slave_archives,
},
}
precise_orbit_bridge = get_pyint_precise_orbit_bridge_summary()
orbits_summary = {
"policy": orbit_policy,
"pool_root": orbit_pool_root,
"pool_exists": orbit_pool_exists,
"master": master_orbit,
"slave": slave_orbit,
"resolved_count": int(bool(master_orbit.get("resolved"))) + int(bool(slave_orbit.get("resolved"))),
"missing_count": int(not master_orbit.get("resolved")) + int(not slave_orbit.get("resolved")),
"warnings": orbit_warnings,
"stage_mode": "copy" if orbit_policy == "stage_txt" or precise_orbit_bridge.get("enabled") else "none",
"precise_orbit_bridge": precise_orbit_bridge,
}
dem_payload = _copy_json_safe(dem_summary or get_pyint_dem_summary())
allow_submit = not blockers and bool(dem_payload.get("allow_submit", True))
return {
"task_name": task_identity["task_name"],
"task_alias": task_identity["task_alias"],
"pair_key": task_identity["pair_key"],
"task_dir": task_dir,
"master_date": master_date,
"slave_date": slave_date,
"master_satellite": master_satellite,
"slave_satellite": slave_satellite,
"archive_counts": {
"master": len(master_archives),
"slave": len(slave_archives),
},
"warnings": warnings,
"blockers": blockers,
"allow_submit": allow_submit,
"task_source": task_source,
"dem": dem_payload,
"orbit_resolution": {
"master": master_orbit,
"slave": slave_orbit,
},
"input_assets": {
"task_source": task_source,
"dem": dem_payload,
"orbits": orbits_summary,
},
}
def build_pyint_input_preview(root_dir: str, num_to_process: int = 0) -> Dict[str, Any]:
validation = validate_pyint_root_dir(root_dir, num_to_process)
dem_summary = get_pyint_dem_summary()
orbit_context = get_pyint_orbit_context()
warnings: List[str] = list(dem_summary.get("warnings") or [])
blockers: List[str] = list(dem_summary.get("blockers") or [])
task_summaries: List[Dict[str, Any]] = []
resolved_task_count = 0
missing_task_count = 0
for task_dir in validation.get("task_dirs", []) or []:
task_summary = resolve_pyint_task_input_assets(
task_dir,
dem_summary=dem_summary,
orbit_context=orbit_context,
)
task_summaries.append(task_summary)
if task_summary.get("warnings"):
warnings.extend(
f"{task_summary['task_alias']}: {item}"
for item in task_summary["warnings"]
)
if task_summary.get("blockers"):
blockers.extend(
f"{task_summary['task_alias']}: {item}"
for item in task_summary["blockers"]
)
if task_summary["input_assets"]["orbits"]["missing_count"] == 0:
resolved_task_count += 1
else:
missing_task_count += 1
allow_submit = not blockers
precise_orbit_bridge = get_pyint_precise_orbit_bridge_summary()
return {
"root_dir": validation["root_dir"],
"mode": validation["mode"],
"task_count": len(task_summaries),
"selected_task_count": len(task_summaries),
"allow_submit": allow_submit,
"warnings": warnings,
"blockers": blockers,
"invalid_candidates": validation.get("invalid_candidates", []),
"dem": dem_summary,
"orbits": {
"policy": _get_orbit_policy(),
"pool_root": orbit_context.get("pool_root", ""),
"pool_exists": bool(orbit_context.get("pool_exists")),
"resolved_task_count": resolved_task_count,
"missing_task_count": missing_task_count,
"duplicate_count": int(orbit_context.get("duplicate_count", 0) or 0),
"warnings": list(orbit_context.get("warnings") or []),
},
"precise_orbit_bridge": precise_orbit_bridge,
"tasks": task_summaries,
}
def summarize_preview_blockers(preview: Dict[str, Any], limit: int = 8) -> str:
blockers = [str(item).strip() for item in (preview.get("blockers") or []) if str(item).strip()]
if not blockers:
return ""
if len(blockers) <= limit:
return "; ".join(blockers)
return "; ".join(blockers[:limit]) + f"; 其余 {len(blockers) - limit} 项已省略"
def materialize_pyint_input_assets(
*,
task_summary: Dict[str, Any],
input_assets_dir: str,
project_name: str = "",
) -> Dict[str, Any]:
input_assets_dir = _normalize_path(input_assets_dir)
os.makedirs(input_assets_dir, exist_ok=True)
record_enabled = bool(getattr(settings, "PYINT_RECORD_INPUT_ASSETS", True))
orbits_dir = os.path.join(input_assets_dir, "orbits")
dem_dir = os.path.join(input_assets_dir, "dem")
if record_enabled:
os.makedirs(orbits_dir, exist_ok=True)
os.makedirs(dem_dir, exist_ok=True)
manifest = _copy_json_safe(task_summary.get("input_assets") or {})
manifest["generated_at"] = _utc_now_text()
manifest["task_name"] = task_summary.get("task_name")
manifest["task_alias"] = task_summary.get("task_alias")
manifest["pair_key"] = task_summary.get("pair_key")
manifest["task_dir"] = task_summary.get("task_dir")
manifest["allow_submit"] = bool(task_summary.get("allow_submit"))
manifest["warnings"] = list(task_summary.get("warnings") or [])
manifest["blockers"] = list(task_summary.get("blockers") or [])
dem_summary = manifest.get("dem") or {}
if project_name:
dem_summary["resolved_output_dir"] = os.path.join(_normalize_path(settings.PYINT_DEM_ROOT), project_name)
manifest["dem"] = dem_summary
orbits_summary = manifest.get("orbits") or {}
staged_count = 0
precise_orbit_bridge = get_pyint_precise_orbit_bridge_summary()
should_stage_orbits = record_enabled and (
str(orbits_summary.get("policy") or "").strip().lower() == "stage_txt"
or precise_orbit_bridge.get("enabled")
)
if should_stage_orbits:
for role in ("master", "slave"):
orbit_item = orbits_summary.get(role) or {}
orbit_path = _normalize_path(orbit_item.get("path"))
expected_name = str(orbit_item.get("expected_name") or "").strip()
if not orbit_item.get("resolved") or not orbit_path or not expected_name:
continue
target_path = os.path.join(orbits_dir, expected_name)
if not os.path.exists(target_path):
shutil.copy2(orbit_path, target_path)
orbit_item["staged_path"] = target_path
orbit_item["stage_operation"] = "copied"
orbit_item["stage_reason"] = "precise_orbit_bridge" if precise_orbit_bridge.get("enabled") else "stage_txt_policy"
staged_count += 1
orbits_summary[role] = orbit_item
manifest["orbits"] = orbits_summary
materialized = {
"input_assets_dir": input_assets_dir,
"record_enabled": record_enabled,
"orbits_dir": orbits_dir if record_enabled else "",
"dem_dir": dem_dir if record_enabled else "",
"orbits_staged_count": staged_count,
"task_manifest_path": "",
"dem_summary_path": "",
"orbit_summary_path": "",
"input_assets": manifest,
}
if not record_enabled:
return materialized
task_manifest_path = os.path.join(input_assets_dir, "task_manifest.json")
dem_summary_path = os.path.join(dem_dir, "dem_summary.json")
orbit_summary_path = os.path.join(orbits_dir, "orbit_summary.json")
with open(task_manifest_path, "w", encoding="utf-8") as fp:
json.dump(manifest, fp, ensure_ascii=False, indent=2)
fp.write("\n")
with open(dem_summary_path, "w", encoding="utf-8") as fp:
json.dump(dem_summary, fp, ensure_ascii=False, indent=2)
fp.write("\n")
with open(orbit_summary_path, "w", encoding="utf-8") as fp:
json.dump(orbits_summary, fp, ensure_ascii=False, indent=2)
fp.write("\n")
materialized.update(
{
"task_manifest_path": task_manifest_path,
"dem_summary_path": dem_summary_path,
"orbit_summary_path": orbit_summary_path,
}
)
return materialized