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4b529fd 9575e05 4b529fd 9575e05 4b529fd 9575e05 4b529fd 9575e05 4b529fd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 | import requests
from bs4 import BeautifulSoup
from datetime import datetime
import pandas as pd
import time
from typing import List, Dict
import threading
from app.logger import get_app_logger
logger = get_app_logger("scraper")
# Global event to signal stopping of scraping tasks
stop_event = threading.Event()
BASE_URL = "https://komoditas.batangkab.go.id/statistik_komo"
KOMODITAS_MAPPING = {
34: {"id": 1, "nama": "Bawang Merah"},
35: {"id": 2, "nama": "Bawang Putih"},
3: {"id": 3, "nama": "Beras IR-64 (KW Medium)"},
46: {"id": 4, "nama": "Beras IR-64 (KW Premium)"},
30: {"id": 5, "nama": "Cabe Merah Besar Keriting"},
31: {"id": 6, "nama": "Cabe Merah Besar Teropong"},
32: {"id": 7, "nama": "Cabe Rawit Merah"},
33: {"id": 8, "nama": "Cabe Rawit Hijau"},
11: {"id": 9, "nama": "Daging Ayam Ras"},
12: {"id": 10, "nama": "Daging Ayam Kampung"},
10: {"id": 11, "nama": "Daging Sapi Murni (Has)"},
14: {"id": 12, "nama": "Telur Ayam Ras"},
15: {"id": 13, "nama": "Telur Ayam Kampung"},
63: {"id": 14, "nama": "Jeruk (1 kg)"},
23: {"id": 15, "nama": "Jagung Pipilan Kering"},
42: {"id": 16, "nama": "Kacang Hijau"},
43: {"id": 17, "nama": "Kacang Tanah"},
27: {"id": 18, "nama": "Kacang Kedelai Import"},
28: {"id": 19, "nama": "Kacang Kedelai Lokal"},
44: {"id": 20, "nama": "Ketela Pohon"},
60: {"id": 21, "nama": "Pisang Ambon/Pisang Lokal (1 kg)"},
48: {"id": 22, "nama": "Ikan Bandeng"},
64: {"id": 23, "nama": "Ikan Kembung"},
49: {"id": 24, "nama": "Ikan Asin Teri"},
57: {"id": 25, "nama": "Udang Jerbung"},
24: {"id": 26, "nama": "Tepung Terigu"},
25: {"id": 27, "nama": "Tepung Terigu Segitiga Biru (KW medium)"},
5: {"id": 28, "nama": "Gula Pasir Lokal (KW Medium)"},
38: {"id": 29, "nama": "Garam Beryodium Bata"},
39: {"id": 30, "nama": "Garam Beryodium Halus"},
45: {"id": 31, "nama": "LPG 3 KG"},
7: {"id": 32, "nama": "Minyak Goreng Bimoli Botol"},
8: {"id": 33, "nama": "Minyak Goreng Curah (Tanpa Merk)"},
41: {"id": 34, "nama": "Mie Instan Merk Indomie Kari Ayam"},
18: {"id": 35, "nama": "Susu Kental Manis Merk Bendera"},
19: {"id": 36, "nama": "Susu Kental Manis Merk Indomilk"},
21: {"id": 37, "nama": "Susu Bubuk Merk Indomilk Coklat"},
22: {"id": 38, "nama": "Susu Bubuk Merk Indomilk Full Cream"},
61: {"id": 39, "nama": "Dancow Vanila (400 - 500 gram)"},
62: {"id": 40, "nama": "Susu Balita (SGM atau sejenisnya 400 gram)"},
50: {"id": 41, "nama": "Pupuk UREA"},
51: {"id": 42, "nama": "Pupuk SP-36"},
52: {"id": 43, "nama": "Pupuk ZA"},
53: {"id": 44, "nama": "Pupuk KCL"},
54: {"id": 45, "nama": "Semen Tiga Roda"},
55: {"id": 46, "nama": "Semen Gresik"},
56: {"id": 47, "nama": "Semen Holcim"},
58: {"id": 48, "nama": "Tempe (1 kg)"},
59: {"id": 49, "nama": "Tahu Mentah (1 kg)"}
}
BULAN_MAP = {
"januari": "01", "februari": "02", "maret": "03", "april": "04",
"mei": "05", "juni": "06", "juli": "07", "agustus": "08",
"september": "09", "oktober": "10", "november": "11", "desember": "12"
}
NAMA_PASAR = {
1: "Pasar Batang",
2: "Pasar Bandar",
3: "Pasar Limpung"
}
def convert_tanggal_indo(tanggal_text: str) -> str:
try:
parts = tanggal_text.strip().lower().split()
hari = parts[0].zfill(2)
bulan = BULAN_MAP[parts[1]]
tahun = parts[2]
return f"{tahun}-{bulan}-{hari}"
except:
return None
def clean_harga(value: str) -> float:
"""
Cleans price string into float. Handles Indonesian formats (e.g., 13.500,00 or 13500,00).
"""
if value is None:
return 0.0
value = str(value).strip()
if value in ("", "-", "0"):
return 0.0
# Remove currency symbols and other non-numeric chars except comma and dot
import re
value = re.sub(r'[^\d,.]', '', value)
# Handle Indonesian format: dots as thousands, comma as decimal
# Or common web format: commas as thousands, dot as decimal
# If both present, assume last one is decimal
if "," in value and "." in value:
if value.rfind(",") > value.rfind("."):
# Dot is thousands, comma is decimal
value = value.replace(".", "").replace(",", ".")
else:
# Comma is thousands, dot is decimal
value = value.replace(",", "")
elif "," in value:
# Only comma: if it looks like decimal (e.g. 13500,00), replace with dot
# If it looks like thousands (e.g. 13,500), remove it
if len(value.split(",")[-1]) <= 2: # Likely decimal
value = value.replace(",", ".")
else:
value = value.replace(",", "")
try:
return float(value)
except (ValueError, TypeError):
return 0.0
def is_summary_row(text: str) -> bool:
text = text.lower()
keywords = ["harga tertinggi", "harga rata", "harga terendah"]
return any(k in text for k in keywords)
def scraping_hari_ini(target_date: datetime = None) -> pd.DataFrame:
if target_date is None:
target_date = datetime.now()
hasil = []
logger.info("=" * 50)
logger.info(f"πΈοΈ Memulai proses scraping untuk tanggal {target_date.strftime('%Y-%m-%d')}")
logger.info("=" * 50)
stop_event.clear()
for scraping_id, info in KOMODITAS_MAPPING.items():
database_id = info["id"]
nama_komoditas = info["nama"]
if stop_event.is_set():
logger.warning("π Scraping dihentikan atas permintaan pengguna.")
break
params = {
"id_komoditi": scraping_id,
"bulan": target_date.month,
"tahun": target_date.year
}
try:
response = requests.get(BASE_URL, params=params, timeout=30)
if response.status_code != 200:
logger.warning(f"β οΈ Gagal mengambil data ID {scraping_id} (HTTP {response.status_code})")
continue
soup = BeautifulSoup(response.text, "html.parser")
table = soup.find("table")
if not table:
continue
rows = table.find_all("tr")
found_data = False
for row in rows[1:]:
cols = row.find_all(["td", "th"])
data = [col.get_text(strip=True) for col in cols]
if len(data) < 4 or is_summary_row(data[0]):
continue
tanggal = convert_tanggal_indo(data[0])
if not tanggal or tanggal != target_date.strftime("%Y-%m-%d"):
continue
found_data = True
for pasar_id, harga in enumerate([clean_harga(data[1]), clean_harga(data[2]), clean_harga(data[3])], start=1):
hasil.append({
"komoditas_id": database_id,
"komoditas_nama": nama_komoditas,
"pasar_id": pasar_id,
"tanggal": tanggal,
"harga": harga
})
if found_data:
logger.info(f"β
Scraping sukses untuk {nama_komoditas} (ID {scraping_id} -> DB ID {database_id})")
time.sleep(0.5)
except Exception as e:
logger.error(f"β Error scraping ID {scraping_id}: {e}")
df = pd.DataFrame(hasil)
logger.info(f"π Total baris hasil scraping: {len(df)}")
return df
def upload_to_mysql(df: pd.DataFrame, engine) -> Dict:
pasar_berhasil = set()
pasar_harga_0 = set()
komoditas_berhasil = []
komoditas_harga_0 = []
stats = {
"total_insert": 0,
"total_update": 0,
"total_skip": 0,
"total_harga_0": 0,
"pasar_berhasil": [],
"pasar_harga_0": [],
"komoditas_berhasil_count": 0,
"komoditas_harga_0_count": 0
}
logger.info("π Memulai proses upload ke database MySQL...")
if df.empty:
logger.warning("β οΈ DataFrame kosong, tidak ada data yang diupload.")
return stats
with engine.begin() as conn:
for _, row in df.iterrows():
if stop_event.is_set():
logger.warning("π Upload database dihentikan atas permintaan pengguna.")
break
komoditas_id = int(row["komoditas_id"])
komoditas_nama = row["komoditas_nama"]
pasar_id = int(row["pasar_id"])
tanggal = row["tanggal"]
harga_baru = float(row["harga"])
pasar_nama = NAMA_PASAR.get(pasar_id, f"Pasar {pasar_id}")
if harga_baru <= 0:
stats["total_harga_0"] += 1
komoditas_harga_0.append(komoditas_id)
pasar_harga_0.add(pasar_nama)
continue
check_query = """
SELECT id, harga FROM harga_harian
WHERE komoditas_id = %s AND pasar_id = %s AND tanggal = %s LIMIT 1
"""
result = conn.exec_driver_sql(check_query, (komoditas_id, pasar_id, tanggal)).fetchone()
if result:
existing_id, harga_lama = result[0], float(result[1])
if harga_lama <= 0 and harga_baru > 0:
conn.exec_driver_sql("UPDATE harga_harian SET harga = %s WHERE id = %s", (harga_baru, existing_id))
stats["total_update"] += 1
komoditas_berhasil.append(komoditas_id)
pasar_berhasil.add(pasar_nama)
logger.info(f"βοΈ Update sukses: {komoditas_nama} di {pasar_nama} -> Rp {harga_baru:,.0f}")
else:
stats["total_skip"] += 1
else:
conn.exec_driver_sql(
"INSERT INTO harga_harian (komoditas_id, pasar_id, tanggal, harga) VALUES (%s, %s, %s, %s)",
(komoditas_id, pasar_id, tanggal, harga_baru)
)
stats["total_insert"] += 1
komoditas_berhasil.append(komoditas_id)
pasar_berhasil.add(pasar_nama)
logger.info(f"π₯ Insert sukses: {komoditas_nama} di {pasar_nama} -> Rp {harga_baru:,.0f}")
stats["pasar_berhasil"] = sorted(list(pasar_berhasil))
stats["pasar_harga_0"] = sorted(list(pasar_harga_0))
stats["komoditas_berhasil_count"] = len(set(komoditas_berhasil))
stats["komoditas_harga_0_count"] = len(set(komoditas_harga_0))
logger.info("=" * 50)
logger.info("π Ringkasan Upload Database:")
logger.info(f" β’ Insert Baru : {stats['total_insert']}")
logger.info(f" β’ Update Data : {stats['total_update']}")
logger.info(f" β’ Diabaikan : {stats['total_skip']}")
logger.info(f" β’ Harga Nol (0) : {stats['total_harga_0']}")
logger.info(f" β’ Pasar Sukses : {', '.join(stats['pasar_berhasil']) or '-'}")
logger.info("=" * 50)
return stats |