301 lines
9.5 KiB
Python
301 lines
9.5 KiB
Python
import os
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import pandas as pd
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import geopandas as gpd
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import numpy as np
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import zipfile
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from shapely.geometry.base import BaseGeometry
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from shapely.geometry import base as shapely_base
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from fastapi import File, Form, UploadFile, HTTPException
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from fastapi.responses import JSONResponse
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from core.config import UPLOAD_FOLDER, MAX_FILE_MB, VALID_WKT_PREFIXES
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from services.upload_file.read_csv.reader_csv import read_csv
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from services.upload_file.read_shp.reader_shp import read_shp
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from services.upload_file.read_gdb.reader_gdb import read_gdb
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from services.upload_file.read_mpk.reader_mpk import read_mpk
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from services.upload_file.read_pdf.reader_pdf import convert_df, read_pdf
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from services.upload_file.geom_detector.geometry_detector import detect_and_build_geometry
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from services.upload_file.geom_detector.geometry_detector import attach_polygon_geometry_auto
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from database.connection import engine
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from database.models import Base
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from pydantic import BaseModel
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from typing import List, Optional
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from shapely import wkt
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from sqlalchemy import text
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Base.metadata.create_all(bind=engine)
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def is_geom_empty(g):
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if g is None:
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return True
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if isinstance(g, float) and pd.isna(g):
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return True
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if isinstance(g, BaseGeometry):
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return g.is_empty
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return False
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def safe_json(value):
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"""Konversi aman untuk semua tipe numpy/pandas/shapely ke tipe JSON-serializable"""
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if isinstance(value, (np.int64, np.int32)):
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return int(value)
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if isinstance(value, (np.float64, np.float32)):
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return float(value)
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if isinstance(value, pd.Timestamp):
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return value.isoformat()
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if isinstance(value, shapely_base.BaseGeometry):
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return str(value) # convert to WKT string
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if pd.isna(value):
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return None
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return value
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def detect_zip_type(zip_path: str) -> str:
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with zipfile.ZipFile(zip_path, "r") as zip_ref:
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files = zip_ref.namelist()
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if any(f.lower().endswith(".gdb/") or ".gdb/" in f.lower() for f in files):
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return "gdb"
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if any(f.lower().endswith(ext) for ext in [".gdbtable", ".gdbtablx", ".gdbindexes", ".spx"] for f in files):
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return "gdb"
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if any(f.lower().endswith(".shp") for f in files):
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return "shp"
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return "unknown"
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def process_data(df: pd.DataFrame, ext: str):
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result = detect_and_build_geometry(df, master_polygons=None)
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if not hasattr(result, "geometry") or result.geometry.isna().all():
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result = attach_polygon_geometry_auto(result)
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if isinstance(result, gpd.GeoDataFrame) and "geometry" in result.columns:
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geom_type = ", ".join([g for g in result.geometry.geom_type.unique() if g]) \
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if not result.empty else "None"
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null_geom = result.geometry.isna().sum()
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print(f"[INFO] Tipe Geometry: {geom_type}")
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print(f"[INFO] Jumlah geometry kosong: {null_geom}")
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else:
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response = {
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"message": "Tidak menemukan tabel yang relevan.",
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"file_type": ext,
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"rows": 0,
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"columns": 0,
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"geometry_valid": 0,
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"geometry_empty": 0,
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"geometry_valid_percent": 0,
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"warnings": [],
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"warning_examples": [],
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"preview": []
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}
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return JSONResponse(content=response)
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result = result.replace([pd.NA, float('inf'), float('-inf')], None)
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if isinstance(result, gpd.GeoDataFrame) and 'geometry' in result.columns:
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result['geometry'] = result['geometry'].apply(
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lambda g: g.wkt if g is not None else None
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)
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empty_count = result['geometry'].apply(is_geom_empty).sum()
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valid_count = len(result) - empty_count
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match_percentage = (valid_count / len(result)) * 100
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warnings = []
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if empty_count > 0:
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warnings.append(
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f"{empty_count} dari {len(result)} baris tidak memiliki geometry yang valid "
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f"({100 - match_percentage:.2f}% data gagal cocok)."
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)
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if empty_count > 0:
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examples = result[result['geometry'].apply(is_geom_empty)].head(500)
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warning_examples = examples.to_dict(orient="records")
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else:
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warning_examples = []
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preview_data = result.to_dict(orient="records")
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preview_safe = [
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{k: safe_json(v) for k, v in row.items()} for row in preview_data
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]
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warning_safe = [
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{k: safe_json(v) for k, v in row.items()} for row in warning_examples
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]
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response = {
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"message": "File berhasil dibaca dan dianalisis.",
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"file_type": ext,
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"rows": int(len(result)),
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"columns": list(map(str, result.columns)),
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"geometry_valid": int(valid_count),
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"geometry_empty": int(empty_count),
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"geometry_valid_percent": float(round(match_percentage, 2)),
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"warnings": warnings,
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"warning_examples": warning_safe,
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"preview": preview_safe
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}
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# return JSONResponse(content=response)
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return response
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async def handle_upload_file(file: UploadFile = File(...), page: Optional[str] = Form(""), sheet: Optional[str] = Form("")):
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fname = file.filename
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ext = os.path.splitext(fname)[1].lower()
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contents = await file.read()
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size_mb = len(contents) / (1024*1024)
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if size_mb > MAX_FILE_MB:
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raise HTTPException(status_code=413, detail="Ukuran File Terlalu Besar")
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tmp_path = UPLOAD_FOLDER / fname
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with open(tmp_path, "wb") as f:
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f.write(contents)
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try:
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df = None
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print('ext', ext)
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if ext == ".csv":
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df = read_csv(str(tmp_path))
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elif ext == ".xlsx":
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df = read_csv(str(tmp_path), sheet)
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elif ext == ".mpk":
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df = read_mpk(str(tmp_path))
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elif ext == ".pdf":
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tbl = read_pdf(tmp_path, page)
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if len(tbl) == 0:
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response = {
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"message": "Tidak ditemukan tabel valid",
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"tables": tbl,
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"file_type": ext
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}
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return JSONResponse(content=response)
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elif len(tbl) > 1:
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response = {
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"message": "File berhasil dibaca dan dianalisis.",
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"tables": tbl,
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"file_type": ext
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}
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return JSONResponse(content=response)
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else:
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df = convert_df(tbl[0])
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elif ext == ".zip":
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zip_type = detect_zip_type(str(tmp_path))
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if zip_type == "shp":
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print("[INFO] ZIP terdeteksi sebagai Shapefile.")
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df = read_shp(str(tmp_path))
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elif zip_type == "gdb":
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print("[INFO] ZIP terdeteksi sebagai Geodatabase (GDB).")
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df = read_gdb(str(tmp_path))
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else:
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raise HTTPException(
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status_code=400,
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detail="ZIP file tidak mengandung SHP atau GDB yang valid."
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)
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else:
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raise HTTPException(status_code=400, detail="Unsupported file type")
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if df is None or (hasattr(df, "empty") and df.empty):
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return JSONResponse({"error": "No valid table detected"}, status_code=400)
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res = process_data(df, ext)
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tmp_path.unlink(missing_ok=True)
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return JSONResponse(content=res)
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except Exception as e:
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print(f"[ERROR] {e}")
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return JSONResponse({"error": str(e)}, status_code=500)
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# finally:
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# db_session.close()
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class PdfRequest(BaseModel):
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title: str
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columns: List[str]
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rows: List[List]
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async def handle_process_pdf(payload: PdfRequest):
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try:
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df = convert_df(payload.model_dump())
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if df is None or (hasattr(df, "empty") and df.empty):
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return JSONResponse({"error": "No valid table detected"}, status_code=400)
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res = process_data(df, '.pdf')
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return JSONResponse(content=res)
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except Exception as e:
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print(f"[ERROR] {e}")
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return JSONResponse({"error": str(e)}, status_code=500)
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# finally:
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# db_session.close()
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class UploadRequest(BaseModel):
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title: str
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rows: List[dict]
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columns: List[str]
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def handle_to_postgis(payload: UploadRequest):
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try:
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table_name = payload.title.lower().replace(" ", "_").replace("-","_")
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df = pd.DataFrame(payload.rows)
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print(f"[INFO] Diterima {len(df)} baris data dari frontend.")
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if "geometry" in df.columns:
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df["geometry"] = df["geometry"].apply(
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lambda g: wkt.loads(g) if isinstance(g, str) and g.strip().upper().startswith(VALID_WKT_PREFIXES) else None
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)
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gdf = gpd.GeoDataFrame(df, geometry="geometry", crs="EPSG:4326")
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else:
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raise HTTPException(status_code=400, detail="Kolom geometry tidak ditemukan dalam data.")
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with engine.begin() as conn:
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conn.execute(text(f"DROP TABLE IF EXISTS {table_name}"))
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gdf.to_postgis(table_name, engine, if_exists="replace", index=False)
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with engine.begin() as conn:
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conn.execute(text(f'ALTER TABLE "{table_name}" ADD COLUMN _id SERIAL PRIMARY KEY;'))
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print(f"[INFO] Tabel '{table_name}' berhasil dibuat di PostGIS ({len(gdf)} baris).")
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return {
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"table_name": table_name,
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"status": "success",
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"message": f"Tabel '{table_name}' berhasil diunggah ke PostGIS.",
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"total_rows": len(gdf),
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"geometry_type": list(gdf.geom_type.unique())
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}
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except Exception as e:
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print(f"[ERROR] Gagal upload ke PostGIS: {e}")
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raise HTTPException(status_code=500, detail=str(e)) |