B04페이지 컨셉 완료

This commit is contained in:
2026-07-18 15:26:17 +09:00
parent db08cc98ad
commit 73e455b698
3 changed files with 223 additions and 26 deletions
+152 -26
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@@ -1,7 +1,10 @@
"""B03 원본 입력 파일 메타데이터 분석."""
import logging
import math
import re
from pathlib import Path
from threading import get_ident
from typing import Any
import laspy
@@ -9,6 +12,117 @@ import numpy as np
import rasterio
from pyproj import CRS
logger = logging.getLogger(__name__)
_CUSTOM_VERTICAL_AUTHORITY_PATTERN = re.compile(
r',?\s*AUTHORITY\["EPSG","(9995|99999)"\]',
re.IGNORECASE,
)
_CUSTOM_VERTICAL_WARNING_PATTERN = re.compile(
r"proj_create_from_database: crs not found: EPSG:(9995|99999)",
re.IGNORECASE,
)
class _CustomVerticalCrsWarningFilter(logging.Filter):
"""알려진 사설 수직 CRS 경고만 B03 안내 로그로 변환한다."""
def __init__(self, source: Path) -> None:
super().__init__()
self.source = source
self.thread_id = get_ident()
self.logged_codes: set[str] = set()
def filter(self, record: logging.LogRecord) -> bool:
if get_ident() != self.thread_id:
return True
match = _CUSTOM_VERTICAL_WARNING_PATTERN.search(record.getMessage())
if match is None:
return True
code = f"EPSG:{match.group(1)}"
if code not in self.logged_codes:
logger.info(
"사용자 정의 수직 CRS 코드를 보존합니다: file=%s code=%s",
self.source.name,
code,
)
self.logged_codes.add(code)
return False
def _component_metadata(crs: CRS) -> dict[str, Any]:
"""CRS 구성 요소를 JSON 저장 가능한 메타데이터로 변환한다."""
authority = crs.to_authority()
epsg = crs.to_epsg()
return {
"name": crs.name,
"type": crs.type_name,
"epsg": epsg,
"authority": (
{"name": authority[0], "code": authority[1]} if authority is not None else None
),
}
def normalize_crs_metadata(crs: Any | None) -> dict[str, Any]:
"""복합 CRS를 수평·수직 구성 요소로 분리해 일관된 상태를 반환한다."""
if crs is None:
return {
"crs": None,
"epsg": None,
"horizontal_crs": None,
"vertical_crs": None,
"crs_status": "missing_crs",
}
parsed = crs if isinstance(crs, CRS) else CRS.from_user_input(crs)
components = parsed.sub_crs_list or [parsed]
horizontal = next(
(item for item in components if item.is_projected or item.is_geographic),
None,
)
vertical = next((item for item in components if item.is_vertical), None)
horizontal_metadata = _component_metadata(horizontal) if horizontal is not None else None
vertical_metadata = _component_metadata(vertical) if vertical is not None else None
horizontal_epsg = horizontal_metadata["epsg"] if horizontal_metadata is not None else None
if horizontal_epsg is None:
status = "unknown_horizontal_crs"
elif vertical_metadata is not None and vertical_metadata["epsg"] is None:
status = "custom_vertical_crs"
else:
status = "identified"
return {
"crs": crs.to_string(),
"epsg": horizontal_epsg,
"horizontal_crs": horizontal_metadata,
"vertical_crs": vertical_metadata,
"crs_status": status,
}
def _log_crs_status(source: Path, metadata: dict[str, Any]) -> None:
"""정상화된 CRS 상태를 B03 도메인 로그로 남긴다."""
if metadata["crs_status"] == "custom_vertical_crs":
logger.info(
"사용자 정의 수직 CRS를 보존합니다: file=%s horizontal_epsg=%s vertical=%s",
source.name,
metadata["epsg"],
metadata["vertical_crs"]["name"],
)
elif metadata["crs_status"] == "unknown_horizontal_crs":
logger.warning("수평 CRS를 EPSG로 식별하지 못했습니다: file=%s", source.name)
def _prepare_prj_wkt(text: str) -> tuple[str, list[str]]:
"""KNGeoid24 사설 EPSG 표식만 파싱용 WKT에서 분리한다."""
if "KNGeoid24" not in text:
return text, []
codes = sorted({f"EPSG:{code}" for code in _CUSTOM_VERTICAL_AUTHORITY_PATTERN.findall(text)})
return _CUSTOM_VERTICAL_AUTHORITY_PATTERN.sub("", text), codes
def analyze_las_metadata(path: str | Path) -> dict[str, Any]:
"""LAS/LAZ 헤더와 분류 통계를 메모리에 전체 적재하지 않고 분석한다."""
@@ -19,6 +133,8 @@ def analyze_las_metadata(path: str | Path) -> dict[str, Any]:
dimension_names = list(point_format.dimension_names)
point_count = int(header.point_count)
crs = header.parse_crs()
crs_metadata = normalize_crs_metadata(crs)
_log_crs_status(source, crs_metadata)
metadata: dict[str, Any] = {
"file": source.name,
"version": f"{header.version.major}.{header.version.minor}",
@@ -35,8 +151,7 @@ def analyze_las_metadata(path: str | Path) -> dict[str, Any]:
"scale": [float(value) for value in header.scales],
"offset": [float(value) for value in header.offsets],
"has_crs": crs is not None,
"crs": crs.to_string() if crs else None,
"epsg": crs.to_epsg() if crs else None,
**crs_metadata,
"has_classification": "classification" in dimension_names,
"has_rgb": all(name in dimension_names for name in ("red", "green", "blue")),
"has_intensity": "intensity" in dimension_names,
@@ -75,17 +190,21 @@ def analyze_prj_metadata(path: str | Path) -> dict[str, Any]:
metadata["error"] = "PRJ 파일이 비어 있습니다."
return metadata
parse_text, custom_authority_codes = _prepare_prj_wkt(text)
try:
crs = CRS.from_wkt(text)
crs = CRS.from_wkt(parse_text)
except Exception as exc:
metadata["error"] = str(exc)
return metadata
crs_metadata = normalize_crs_metadata(crs)
_log_crs_status(source, crs_metadata)
metadata.update(
{
"epsg": crs.to_epsg(),
**crs_metadata,
"name": crs.name,
"authority": crs.to_authority(),
"custom_authority_codes": custom_authority_codes,
"is_valid": True,
}
)
@@ -119,28 +238,35 @@ def analyze_tfw_metadata(path: str | Path) -> dict[str, Any]:
def analyze_tif_metadata(path: str | Path) -> dict[str, Any]:
"""TIF/GeoTIFF 데이터셋의 공간 및 밴드 메타데이터를 분석한다."""
source = Path(path)
with rasterio.open(source) as dataset:
crs = dataset.crs
bounds = dataset.bounds
return {
"file": source.name,
"width": int(dataset.width),
"height": int(dataset.height),
"count": int(dataset.count),
"dtypes": list(dataset.dtypes),
"nodata": float(dataset.nodata) if dataset.nodata is not None else None,
"crs": crs.to_string() if crs else None,
"epsg": crs.to_epsg() if crs else None,
"bounds": {
"left": float(bounds.left),
"bottom": float(bounds.bottom),
"right": float(bounds.right),
"top": float(bounds.top),
},
"transform": [float(value) for value in list(dataset.transform)[:6]],
"resolution": [float(value) for value in dataset.res],
"likely_type": "dem" if dataset.count == 1 else "image",
}
rasterio_logger = logging.getLogger("rasterio._env")
warning_filter = _CustomVerticalCrsWarningFilter(source)
rasterio_logger.addFilter(warning_filter)
try:
with rasterio.open(source) as dataset:
crs = dataset.crs
crs_metadata = normalize_crs_metadata(crs)
_log_crs_status(source, crs_metadata)
bounds = dataset.bounds
return {
"file": source.name,
"width": int(dataset.width),
"height": int(dataset.height),
"count": int(dataset.count),
"dtypes": list(dataset.dtypes),
"nodata": float(dataset.nodata) if dataset.nodata is not None else None,
**crs_metadata,
"bounds": {
"left": float(bounds.left),
"bottom": float(bounds.bottom),
"right": float(bounds.right),
"top": float(bounds.top),
},
"transform": [float(value) for value in list(dataset.transform)[:6]],
"resolution": [float(value) for value in dataset.res],
"likely_type": "dem" if dataset.count == 1 else "image",
}
finally:
rasterio_logger.removeFilter(warning_filter)
def analyze_input_metadata(path: str | Path) -> dict[str, Any]:
+1
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@@ -266,4 +266,5 @@ if __name__ == "__main__":
host=SERVER_HOST,
port=SERVER_PORT,
reload=DEBUG,
access_log=False,
)
+70
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@@ -0,0 +1,70 @@
import sys
import os
from pathlib import Path
# Add project root to sys.path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from B03_FileInput.B03_FileInput_Engine_Analyze import (
analyze_prj_metadata,
analyze_tif_metadata,
analyze_las_metadata,
)
BASE_DIR = Path("D:/02_Software_Prog/임도설계 및 견적자동화 프로그램 개발")
PRJ_PATH = BASE_DIR / "storage/1/3/acb9170b-9ac8-49b3-82a0-51cfa32bb42d/B03_FileInput/input/prj/result.prj"
TIF_PATH = BASE_DIR / "storage/1/3/acb9170b-9ac8-49b3-82a0-51cfa32bb42d/B03_FileInput/input/tif/result.tif"
LAS_PATH = BASE_DIR / "storage/1/3/acb9170b-9ac8-49b3-82a0-51cfa32bb42d/B03_FileInput/input/las/cloud_merged.las"
def run_tests():
print("--- 1. Testing PRJ Metadata Extraction ---")
if PRJ_PATH.exists():
prj_meta = analyze_prj_metadata(PRJ_PATH)
print("PRJ Metadata:")
for k, v in prj_meta.items():
print(f" {k}: {v}")
# Assertions based on PLAN.md expectations
assert prj_meta.get("epsg") == 5187, f"Expected horizontal EPSG to be 5187, got {prj_meta.get('epsg')}"
assert prj_meta.get("crs_status") == "custom_vertical_crs", f"Expected custom_vertical_crs, got {prj_meta.get('crs_status')}"
assert prj_meta.get("vertical_crs") is not None, "Expected vertical_crs metadata to be present"
assert "KNGeoid24" in prj_meta["vertical_crs"]["name"], f"Expected KNGeoid24 in vertical crs name, got {prj_meta['vertical_crs']['name']}"
print("PRJ test passed successfully.")
else:
print(f"PRJ file not found at {PRJ_PATH}")
print("\n--- 2. Testing TIF Metadata Extraction ---")
if TIF_PATH.exists():
tif_meta = analyze_tif_metadata(TIF_PATH)
print("TIF Metadata:")
for k, v in tif_meta.items():
print(f" {k}: {v}")
assert tif_meta.get("epsg") == 5187, f"Expected EPSG to be 5187, got {tif_meta.get('epsg')}"
assert tif_meta.get("crs_status") == "identified", f"Expected identified, got {tif_meta.get('crs_status')}"
assert tif_meta.get("vertical_crs") is None, "Expected no vertical crs for TIF file"
print("TIF test passed successfully.")
else:
print(f"TIF file not found at {TIF_PATH}")
print("\n--- 3. Testing LAS Metadata Extraction ---")
if LAS_PATH.exists():
las_meta = analyze_las_metadata(LAS_PATH)
print("LAS Metadata:")
for k, v in las_meta.items():
# Exclude large dimensions output for print readability
if k == "point_format":
print(f" {k}: id={v.get('id')}, num_dimensions={len(v.get('dimensions', []))}")
else:
print(f" {k}: {v}")
assert las_meta.get("epsg") == 5187, f"Expected EPSG to be 5187, got {las_meta.get('epsg')}"
assert las_meta.get("crs_status") == "custom_vertical_crs", f"Expected custom_vertical_crs, got {las_meta.get('crs_status')}"
assert las_meta.get("vertical_crs") is not None, "Expected vertical_crs metadata to be present"
assert "KNGeoid24" in las_meta["vertical_crs"]["name"], f"Expected KNGeoid24 in vertical crs name, got {las_meta['vertical_crs']['name']}"
print("LAS test passed successfully.")
else:
print(f"LAS file not found at {LAS_PATH}")
if __name__ == "__main__":
run_tests()