refactor folder structure
This commit is contained in:
dmsanhrProject
parent
a4420a5159
commit
9c856c75da
3
.gitignore
vendored
3
.gitignore
vendored
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@ -1,11 +1,14 @@
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.env
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main_old.py
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main_mess.py
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sijalinmaja.json
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venv/
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pdf/
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data_cache/
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service_tmp/
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testing/
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test-ai/
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uploads/
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scrapp/
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@ -4,16 +4,58 @@ import os
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load_dotenv()
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API_VERSION = "2.1.3"
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POSTGIS_URL = os.getenv("POSTGIS_URL")
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UPLOAD_FOLDER = Path(os.getenv("UPLOAD_FOLDER", "./uploads"))
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MAX_FILE_MB = int(os.getenv("MAX_FILE_MB", 200))
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MAX_FILE_MB = int(os.getenv("MAX_FILE_MB", 30))
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ALLOWED_ORIGINS = [
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"http://localhost:3000",
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"http://127.0.0.1:3000",
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"http://localhost:5173",
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"http://127.0.0.1:5173",
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"192.168.60.24:5173",
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"http://labai.polinema.ac.id:666",
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]
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REFERENCE_DB_URL = os.getenv("REFERENCE_DB_URL")
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REFERENCE_SCHEMA = os.getenv("REFERENCE_SCHEMA", "batas_wilayah")
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REF_COLUMN_MAP = {
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'desa': 'NAMOBJ',
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'kecamatan': 'NAMA_KECAMATAN',
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'kabupaten': 'NAMOBJ'
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}
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DESA_REF = "WADMKD"
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KEC_REF = "WADMKC"
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KAB_REF = "WADMKK"
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CACHE_FOLDER = Path(os.getenv("CACHE_FOLDER", "./cache"))
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VALID_WKT_PREFIXES = (
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"POINT",
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"POINT Z",
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"POINT M",
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"POINT ZM",
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"MULTIPOINT",
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"MULTIPOINT Z",
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"MULTIPOINT M",
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"MULTIPOINT ZM",
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"LINESTRING",
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"LINESTRING Z",
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"LINESTRING M",
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"LINESTRING ZM",
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"MULTILINESTRING",
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"MULTILINESTRING Z",
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"MULTILINESTRING M",
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"MULTILINESTRING ZM",
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"POLYGON",
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"POLYGON Z",
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"POLYGON M",
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"POLYGON ZM",
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"MULTIPOLYGON",
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"MULTIPOLYGON Z",
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"MULTIPOLYGON M",
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"MULTIPOLYGON ZM",
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"GEOMETRYCOLLECTION",
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"GEOMETRYCOLLECTION Z",
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"GEOMETRYCOLLECTION M",
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"GEOMETRYCOLLECTION ZM",
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)
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410
main.py
410
main.py
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@ -1,415 +1,29 @@
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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 FastAPI, 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
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from services.reader_csv import read_csv
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from services.reader_shp import read_shp
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from services.reader_gdb import read_gdb
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from services.reader_pdf import convert_df, read_pdf
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from services.geometry_detector import detect_and_build_geometry
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from services.geometry_detector import attach_polygon_geometry_auto
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from core.config import API_VERSION, ALLOWED_ORIGINS
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from database.connection import engine
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from database.models import Base
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import time
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from datetime import datetime, timedelta
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import pathlib
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from fastapi.middleware.cors import CORSMiddleware
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from routes.router import router as system_router
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from routes.upload_file_router import router as upload_router
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from routes.auth_router import router as auth_router
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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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UPLOAD_FOLDER.mkdir(parents=True, exist_ok=True)
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apiVersion = "2.1.3"
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app = FastAPI(
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title="ETL Geo Upload Service",
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version=apiVersion,
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version=API_VERSION,
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description="Upload Automation API"
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)
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origins = [
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"http://localhost:3000",
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"http://127.0.0.1:3000",
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"http://localhost:5173",
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"http://127.0.0.1:5173",
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"192.168.60.24:5173",
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"http://labai.polinema.ac.id:666",
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]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_origins=ALLOWED_ORIGINS,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Create upload_logs table if not exists
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Base.metadata.create_all(bind=engine)
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def generate_table_name(filename: str, prefix: str = "data"):
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name = pathlib.Path(filename).stem
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ts = time.strftime("%Y%m%d%H%M%S")
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safe = "".join([c if c.isalnum() or c=='_' else '_' for c in name])
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return f"{prefix}_{safe}_{ts}"
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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) # ubah ke 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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from datetime import datetime
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@app.get("/status", tags=["System"])
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async def server_status():
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utc_time = datetime.utcnow()
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wib_time = utc_time + timedelta(hours=7)
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formatted_time = wib_time.strftime("%d-%m-%Y %H:%M:%S")
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response = {
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"status": "success",
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"message": "Server is running smoothly ✅",
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"data": {
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"service": "upload_automation",
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"status_code": 200,
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"timestamp": f"{formatted_time} WIB"
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},
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"meta": {
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"version": apiVersion,
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"environment": "deployment"
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}
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}
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return response
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@app.post("/upload")
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async def 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="File too large")
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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 == ".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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@app.post("/process-pdf")
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async def upload_file(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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VALID_WKT_PREFIXES = (
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"POINT",
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"POINT Z",
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"POINT M",
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"POINT ZM",
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"MULTIPOINT",
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"MULTIPOINT Z",
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"MULTIPOINT M",
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"MULTIPOINT ZM",
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"LINESTRING",
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"LINESTRING Z",
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"LINESTRING M",
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"LINESTRING ZM",
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"MULTILINESTRING",
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"MULTILINESTRING Z",
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"MULTILINESTRING M",
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"MULTILINESTRING ZM",
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"POLYGON",
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"POLYGON Z",
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"POLYGON M",
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"POLYGON ZM",
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"MULTIPOLYGON",
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"MULTIPOLYGON Z",
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"MULTIPOLYGON M",
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"MULTIPOLYGON ZM",
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"GEOMETRYCOLLECTION",
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"GEOMETRYCOLLECTION Z",
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"GEOMETRYCOLLECTION M",
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"GEOMETRYCOLLECTION ZM",
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)
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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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@app.post("/upload_to_postgis")
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def upload_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}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
|
||||
# Register routers
|
||||
app.include_router(system_router, tags=["System"])
|
||||
app.include_router(auth_router, prefix="/auth", tags=["Auth"])
|
||||
app.include_router(upload_router, prefix="/upload", tags=["Upload"])
|
||||
|
|
|
|||
15
routes/auth_router.py
Normal file
15
routes/auth_router.py
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
from fastapi import APIRouter
|
||||
from core.config import API_VERSION
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
@router.get("/login")
|
||||
async def login():
|
||||
return {"status": "success"}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
28
routes/router.py
Normal file
28
routes/router.py
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
from fastapi import APIRouter
|
||||
from datetime import datetime, timedelta
|
||||
from core.config import API_VERSION
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
@router.get("/status")
|
||||
async def server_status():
|
||||
utc_time = datetime.utcnow()
|
||||
wib_time = utc_time + timedelta(hours=7)
|
||||
formatted_time = wib_time.strftime("%d-%m-%Y %H:%M:%S")
|
||||
|
||||
return {
|
||||
"status": "success",
|
||||
"message": "Server is running smoothly ✅",
|
||||
"data": {
|
||||
"service": "upload_automation",
|
||||
"timestamp": f"{formatted_time} WIB"
|
||||
},
|
||||
"meta": {"version": API_VERSION, "environment": "deployment"}
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
34
routes/upload_file_router.py
Normal file
34
routes/upload_file_router.py
Normal file
|
|
@ -0,0 +1,34 @@
|
|||
|
||||
from fastapi import APIRouter, File, Form, UploadFile
|
||||
from pydantic import BaseModel
|
||||
from typing import List, Optional
|
||||
from services.upload_file.upload import handle_upload_file, handle_process_pdf, handle_to_postgis
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("/file")
|
||||
async def upload_file(file: UploadFile = File(...), page: Optional[str] = Form(""), sheet: Optional[str] = Form("")):
|
||||
return await handle_upload_file(file, page, sheet)
|
||||
|
||||
|
||||
|
||||
class PdfRequest(BaseModel):
|
||||
title: str
|
||||
columns: List[str]
|
||||
rows: List[List]
|
||||
|
||||
@router.post("/process-pdf")
|
||||
async def upload_file(payload: PdfRequest):
|
||||
return await handle_process_pdf(payload)
|
||||
|
||||
|
||||
|
||||
class UploadRequest(BaseModel):
|
||||
title: str
|
||||
rows: List[dict]
|
||||
columns: List[str]
|
||||
|
||||
@router.post("/to-postgis")
|
||||
def upload_to_postgis(payload: UploadRequest):
|
||||
return handle_to_postgis(payload)
|
||||
0
services/auth/auth.py
Normal file
0
services/auth/auth.py
Normal file
|
|
@ -8,7 +8,7 @@ from shapely import wkt
|
|||
from rapidfuzz import process, fuzz
|
||||
from sqlalchemy import create_engine
|
||||
from shapely.geometry.base import BaseGeometry
|
||||
from core.config import REFERENCE_DB_URL, REFERENCE_SCHEMA
|
||||
from core.config import REFERENCE_DB_URL, REFERENCE_SCHEMA, DESA_REF, KEC_REF, KAB_REF
|
||||
|
||||
# ============================================================
|
||||
# KONFIGURASI DAN KONSTANTA
|
||||
|
|
@ -362,9 +362,9 @@ def attach_polygon_geometry_auto(df: pd.DataFrame):
|
|||
return df
|
||||
|
||||
# kolom di referensi
|
||||
desa_ref = "WADMKD"
|
||||
kec_ref = "WADMKC"
|
||||
kab_ref = "WADMKK"
|
||||
desa_ref = DESA_REF
|
||||
kec_ref = KEC_REF
|
||||
kab_ref = KAB_REF
|
||||
|
||||
if desa_col is not None:
|
||||
df[desa_col] = df[desa_col].astype(str).apply(lambda x: normalize_name(x, "desa"))
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
import pdfplumber
|
||||
import re
|
||||
import pandas as pd
|
||||
from services.filter_column import filter_geo_admin_column
|
||||
from services.upload_file.read_pdf.filter_column import filter_geo_admin_column
|
||||
|
||||
def is_number(s):
|
||||
if s is None:
|
||||
298
services/upload_file/upload.py
Normal file
298
services/upload_file/upload.py
Normal file
|
|
@ -0,0 +1,298 @@
|
|||
import os
|
||||
import pandas as pd
|
||||
import geopandas as gpd
|
||||
import numpy as np
|
||||
import zipfile
|
||||
from shapely.geometry.base import BaseGeometry
|
||||
from shapely.geometry import base as shapely_base
|
||||
from fastapi import File, Form, UploadFile, HTTPException
|
||||
from fastapi.responses import JSONResponse
|
||||
from core.config import UPLOAD_FOLDER, MAX_FILE_MB, VALID_WKT_PREFIXES
|
||||
from services.upload_file.read_csv.reader_csv import read_csv
|
||||
from services.upload_file.read_shp.reader_shp import read_shp
|
||||
from services.upload_file.read_gdb.reader_gdb import read_gdb
|
||||
from services.upload_file.read_pdf.reader_pdf import convert_df, read_pdf
|
||||
from services.upload_file.geom_detector.geometry_detector import detect_and_build_geometry
|
||||
from services.upload_file.geom_detector.geometry_detector import attach_polygon_geometry_auto
|
||||
from database.connection import engine
|
||||
from database.models import Base
|
||||
from pydantic import BaseModel
|
||||
from typing import List, Optional
|
||||
from shapely import wkt
|
||||
from sqlalchemy import text
|
||||
Base.metadata.create_all(bind=engine)
|
||||
|
||||
|
||||
def is_geom_empty(g):
|
||||
if g is None:
|
||||
return True
|
||||
if isinstance(g, float) and pd.isna(g):
|
||||
return True
|
||||
if isinstance(g, BaseGeometry):
|
||||
return g.is_empty
|
||||
return False
|
||||
|
||||
|
||||
def safe_json(value):
|
||||
"""Konversi aman untuk semua tipe numpy/pandas/shapely ke tipe JSON-serializable"""
|
||||
if isinstance(value, (np.int64, np.int32)):
|
||||
return int(value)
|
||||
if isinstance(value, (np.float64, np.float32)):
|
||||
return float(value)
|
||||
if isinstance(value, pd.Timestamp):
|
||||
return value.isoformat()
|
||||
if isinstance(value, shapely_base.BaseGeometry):
|
||||
return str(value) # convert to WKT string
|
||||
if pd.isna(value):
|
||||
return None
|
||||
return value
|
||||
|
||||
|
||||
def detect_zip_type(zip_path: str) -> str:
|
||||
with zipfile.ZipFile(zip_path, "r") as zip_ref:
|
||||
files = zip_ref.namelist()
|
||||
|
||||
if any(f.lower().endswith(".gdb/") or ".gdb/" in f.lower() for f in files):
|
||||
return "gdb"
|
||||
|
||||
if any(f.lower().endswith(ext) for ext in [".gdbtable", ".gdbtablx", ".gdbindexes", ".spx"] for f in files):
|
||||
return "gdb"
|
||||
|
||||
if any(f.lower().endswith(".shp") for f in files):
|
||||
return "shp"
|
||||
|
||||
return "unknown"
|
||||
|
||||
def process_data(df: pd.DataFrame, ext: str):
|
||||
result = detect_and_build_geometry(df, master_polygons=None)
|
||||
|
||||
if not hasattr(result, "geometry") or result.geometry.isna().all():
|
||||
result = attach_polygon_geometry_auto(result)
|
||||
|
||||
if isinstance(result, gpd.GeoDataFrame) and "geometry" in result.columns:
|
||||
geom_type = ", ".join([g for g in result.geometry.geom_type.unique() if g]) \
|
||||
if not result.empty else "None"
|
||||
|
||||
null_geom = result.geometry.isna().sum()
|
||||
print(f"[INFO] Tipe Geometry: {geom_type}")
|
||||
print(f"[INFO] Jumlah geometry kosong: {null_geom}")
|
||||
else:
|
||||
response = {
|
||||
"message": "Tidak menemukan tabel yang relevan.",
|
||||
"file_type": ext,
|
||||
"rows": 0,
|
||||
"columns": 0,
|
||||
"geometry_valid": 0,
|
||||
"geometry_empty": 0,
|
||||
"geometry_valid_percent": 0,
|
||||
"warnings": [],
|
||||
"warning_examples": [],
|
||||
"preview": []
|
||||
}
|
||||
|
||||
return JSONResponse(content=response)
|
||||
|
||||
result = result.replace([pd.NA, float('inf'), float('-inf')], None)
|
||||
if isinstance(result, gpd.GeoDataFrame) and 'geometry' in result.columns:
|
||||
result['geometry'] = result['geometry'].apply(
|
||||
lambda g: g.wkt if g is not None else None
|
||||
)
|
||||
|
||||
empty_count = result['geometry'].apply(is_geom_empty).sum()
|
||||
valid_count = len(result) - empty_count
|
||||
match_percentage = (valid_count / len(result)) * 100
|
||||
|
||||
warnings = []
|
||||
if empty_count > 0:
|
||||
warnings.append(
|
||||
f"{empty_count} dari {len(result)} baris tidak memiliki geometry yang valid "
|
||||
f"({100 - match_percentage:.2f}% data gagal cocok)."
|
||||
)
|
||||
|
||||
if empty_count > 0:
|
||||
examples = result[result['geometry'].apply(is_geom_empty)].head(500)
|
||||
warning_examples = examples.to_dict(orient="records")
|
||||
else:
|
||||
warning_examples = []
|
||||
|
||||
preview_data = result.to_dict(orient="records")
|
||||
|
||||
preview_safe = [
|
||||
{k: safe_json(v) for k, v in row.items()} for row in preview_data
|
||||
]
|
||||
|
||||
warning_safe = [
|
||||
{k: safe_json(v) for k, v in row.items()} for row in warning_examples
|
||||
]
|
||||
|
||||
response = {
|
||||
"message": "File berhasil dibaca dan dianalisis.",
|
||||
"file_type": ext,
|
||||
"rows": int(len(result)),
|
||||
"columns": list(map(str, result.columns)),
|
||||
"geometry_valid": int(valid_count),
|
||||
"geometry_empty": int(empty_count),
|
||||
"geometry_valid_percent": float(round(match_percentage, 2)),
|
||||
"warnings": warnings,
|
||||
"warning_examples": warning_safe,
|
||||
"preview": preview_safe
|
||||
}
|
||||
|
||||
# return JSONResponse(content=response)
|
||||
return response
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
async def handle_upload_file(file: UploadFile = File(...), page: Optional[str] = Form(""), sheet: Optional[str] = Form("")):
|
||||
fname = file.filename
|
||||
ext = os.path.splitext(fname)[1].lower()
|
||||
contents = await file.read()
|
||||
size_mb = len(contents) / (1024*1024)
|
||||
if size_mb > MAX_FILE_MB:
|
||||
raise HTTPException(status_code=413, detail="File too large")
|
||||
tmp_path = UPLOAD_FOLDER / fname
|
||||
with open(tmp_path, "wb") as f:
|
||||
f.write(contents)
|
||||
try:
|
||||
df = None
|
||||
print('ext', ext)
|
||||
|
||||
if ext == ".csv":
|
||||
df = read_csv(str(tmp_path))
|
||||
elif ext == ".xlsx":
|
||||
df = read_csv(str(tmp_path), sheet)
|
||||
elif ext == ".pdf":
|
||||
tbl = read_pdf(tmp_path, page)
|
||||
if len(tbl) == 0:
|
||||
response = {
|
||||
"message": "Tidak ditemukan tabel valid",
|
||||
"tables": tbl,
|
||||
"file_type": ext
|
||||
}
|
||||
return JSONResponse(content=response)
|
||||
elif len(tbl) > 1:
|
||||
response = {
|
||||
"message": "File berhasil dibaca dan dianalisis.",
|
||||
"tables": tbl,
|
||||
"file_type": ext
|
||||
}
|
||||
return JSONResponse(content=response)
|
||||
else:
|
||||
df = convert_df(tbl[0])
|
||||
elif ext == ".zip":
|
||||
zip_type = detect_zip_type(str(tmp_path))
|
||||
|
||||
if zip_type == "shp":
|
||||
print("[INFO] ZIP terdeteksi sebagai Shapefile.")
|
||||
df = read_shp(str(tmp_path))
|
||||
|
||||
elif zip_type == "gdb":
|
||||
print("[INFO] ZIP terdeteksi sebagai Geodatabase (GDB).")
|
||||
df = read_gdb(str(tmp_path))
|
||||
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail="ZIP file tidak mengandung SHP atau GDB yang valid."
|
||||
)
|
||||
else:
|
||||
raise HTTPException(status_code=400, detail="Unsupported file type")
|
||||
|
||||
if df is None or (hasattr(df, "empty") and df.empty):
|
||||
return JSONResponse({"error": "No valid table detected"}, status_code=400)
|
||||
|
||||
res = process_data(df, ext)
|
||||
|
||||
tmp_path.unlink(missing_ok=True)
|
||||
|
||||
return JSONResponse(content=res)
|
||||
|
||||
except Exception as e:
|
||||
print(f"[ERROR] {e}")
|
||||
return JSONResponse({"error": str(e)}, status_code=500)
|
||||
|
||||
# finally:
|
||||
# db_session.close()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
class PdfRequest(BaseModel):
|
||||
title: str
|
||||
columns: List[str]
|
||||
rows: List[List]
|
||||
|
||||
async def handle_process_pdf(payload: PdfRequest):
|
||||
try:
|
||||
df = convert_df(payload.model_dump())
|
||||
if df is None or (hasattr(df, "empty") and df.empty):
|
||||
return JSONResponse({"error": "No valid table detected"}, status_code=400)
|
||||
|
||||
res = process_data(df, '.pdf')
|
||||
|
||||
return JSONResponse(content=res)
|
||||
|
||||
except Exception as e:
|
||||
print(f"[ERROR] {e}")
|
||||
|
||||
return JSONResponse({"error": str(e)}, status_code=500)
|
||||
|
||||
# finally:
|
||||
# db_session.close()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
class UploadRequest(BaseModel):
|
||||
title: str
|
||||
rows: List[dict]
|
||||
columns: List[str]
|
||||
|
||||
def handle_to_postgis(payload: UploadRequest):
|
||||
try:
|
||||
table_name = payload.title.lower().replace(" ", "_").replace("-","_")
|
||||
|
||||
df = pd.DataFrame(payload.rows)
|
||||
print(f"[INFO] Diterima {len(df)} baris data dari frontend.")
|
||||
|
||||
if "geometry" in df.columns:
|
||||
df["geometry"] = df["geometry"].apply(
|
||||
lambda g: wkt.loads(g) if isinstance(g, str) and g.strip().upper().startswith(VALID_WKT_PREFIXES) else None
|
||||
)
|
||||
gdf = gpd.GeoDataFrame(df, geometry="geometry", crs="EPSG:4326")
|
||||
else:
|
||||
raise HTTPException(status_code=400, detail="Kolom geometry tidak ditemukan dalam data.")
|
||||
|
||||
with engine.begin() as conn:
|
||||
conn.execute(text(f"DROP TABLE IF EXISTS {table_name}"))
|
||||
|
||||
gdf.to_postgis(table_name, engine, if_exists="replace", index=False)
|
||||
|
||||
with engine.begin() as conn:
|
||||
conn.execute(text(f'ALTER TABLE "{table_name}" ADD COLUMN _id SERIAL PRIMARY KEY;'))
|
||||
|
||||
print(f"[INFO] Tabel '{table_name}' berhasil dibuat di PostGIS ({len(gdf)} baris).")
|
||||
|
||||
return {
|
||||
"table_name": table_name,
|
||||
"status": "success",
|
||||
"message": f"Tabel '{table_name}' berhasil diunggah ke PostGIS.",
|
||||
"total_rows": len(gdf),
|
||||
"geometry_type": list(gdf.geom_type.unique())
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
print(f"[ERROR] Gagal upload ke PostGIS: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
Loading…
Reference in New Issue
Block a user