consultoria-as
f395d67136
- Base de datos SQLite con información de vehículos - Dashboard web con Flask y Bootstrap - Scripts de web scraping para RockAuto - Interfaz CLI para consultas - Documentación completa del proyecto Incluye: - 12 marcas de vehículos - 10,923 modelos - 10,919 especificaciones de motores - 12,075 combinaciones modelo-año-motor
394 lines
13 KiB
Python
394 lines
13 KiB
Python
#!/usr/bin/env python3
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"""
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Scraper de Ford y Chevrolet
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- Procesa de 5 en 5 años
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- Espera 3 minutos (180 segundos) entre lotes para activar VPN
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- Presiona ENTER para saltar la espera
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- Años: 1975-2026
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"""
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import requests
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from bs4 import BeautifulSoup
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import sqlite3
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import time
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import re
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import os
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import sys
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import threading
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from urllib.parse import unquote
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# Detectar ruta base del proyecto
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SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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if os.path.basename(SCRIPT_DIR) == "vehicle_scraper":
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BASE_DIR = os.path.dirname(SCRIPT_DIR)
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else:
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BASE_DIR = SCRIPT_DIR
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DB_PATH = os.path.join(BASE_DIR, "vehicle_database", "vehicle_database.db")
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BASE_URL = "https://www.rockauto.com/en/catalog"
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# Marcas a scrapear (Nissan ya fue procesado)
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BRANDS = ["FORD", "CHEVROLET"]
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# Años de 1975 a 2026 (orden descendente)
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ALL_YEARS = list(range(2026, 1974, -1))
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# Configuración de lotes
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BATCH_SIZE = 5 # años por lote
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WAIT_TIME = 180 # 3 minutos entre lotes
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session = requests.Session()
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session.headers.update({
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
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'Accept': 'text/html,application/xhtml+xml',
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'Accept-Language': 'en-US,en;q=0.9',
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})
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# Variable global para controlar salto de espera
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skip_wait = False
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def wait_with_skip(seconds, message=""):
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"""Espera que se puede saltar presionando ENTER"""
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global skip_wait
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skip_wait = False
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print(f"\n{'*'*60}")
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print(f" {message}")
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print(f" ACTIVA/CAMBIA EL VPN AHORA")
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print(f" >>> Presiona ENTER para saltar la espera <<<")
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print(f"{'*'*60}")
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# Usar threading para detectar input
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def check_input():
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global skip_wait
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try:
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input()
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skip_wait = True
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except:
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pass
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input_thread = threading.Thread(target=check_input, daemon=True)
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input_thread.start()
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for sec in range(seconds, 0, -1):
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if skip_wait:
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print(f"\n >>> ESPERA SALTADA <<<")
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return
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mins = sec // 60
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secs = sec % 60
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print(f"\r Continuando en {mins}:{secs:02d}... (ENTER para saltar) ", end="", flush=True)
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time.sleep(1)
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print()
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def clean_name(name):
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name = unquote(name.replace('+', ' '))
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return re.sub(r'\s+', ' ', name).strip().upper()
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def get_soup(url, retries=3):
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for attempt in range(retries):
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try:
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time.sleep(0.5)
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response = session.get(url, timeout=15)
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if response.status_code == 200:
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return BeautifulSoup(response.content, 'html.parser')
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elif response.status_code == 403:
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print(f"\n [!] Bloqueado (403) - Cambia el VPN")
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return None
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except Exception as e:
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if attempt < retries - 1:
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time.sleep(3)
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else:
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print(f"\n Error: {e}")
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return None
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def get_models(brand, year):
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brand_url = brand.lower().replace(' ', '+')
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soup = get_soup(f"{BASE_URL}/{brand_url},{year}")
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if not soup:
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return []
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models = set()
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for link in soup.find_all('a', href=True):
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pattern = rf'/catalog/{re.escape(brand_url)},{year},([^,/]+)'
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match = re.search(pattern, link['href'], re.I)
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if match:
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model = clean_name(match.group(1))
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if model and not model.isdigit() and len(model) > 1:
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models.add(model)
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return sorted(models)
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def get_engines(brand, year, model):
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brand_url = brand.lower().replace(' ', '+')
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model_url = model.lower().replace(' ', '+')
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soup = get_soup(f"{BASE_URL}/{brand_url},{year},{model_url}")
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if not soup:
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return ['STANDARD']
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engines = set()
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for link in soup.find_all('a', href=True):
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pattern = rf'/catalog/{re.escape(brand_url)},{year},{re.escape(model_url)},([^,/]+)'
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match = re.search(pattern, link['href'], re.I)
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if match:
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engine = clean_name(match.group(1))
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if engine and re.search(r'\d+\.?\d*L|V\d|I\d|H\d|HYBRID|ELECTRIC|DIESEL', engine, re.I):
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engines.add(engine)
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return sorted(engines) if engines else ['STANDARD']
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def save_to_db(conn, brand, year, model, engine):
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cursor = conn.cursor()
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try:
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cursor.execute("INSERT OR IGNORE INTO brands (name) VALUES (?)", (brand,))
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cursor.execute("SELECT id FROM brands WHERE name = ?", (brand,))
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brand_id = cursor.fetchone()[0]
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cursor.execute("INSERT OR IGNORE INTO years (year) VALUES (?)", (year,))
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cursor.execute("SELECT id FROM years WHERE year = ?", (year,))
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year_id = cursor.fetchone()[0]
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cursor.execute("INSERT OR IGNORE INTO engines (name) VALUES (?)", (engine,))
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cursor.execute("SELECT id FROM engines WHERE name = ?", (engine,))
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engine_id = cursor.fetchone()[0]
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cursor.execute("INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)", (brand_id, model))
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cursor.execute("SELECT id FROM models WHERE brand_id = ? AND name = ?", (brand_id, model))
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model_id = cursor.fetchone()[0]
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cursor.execute(
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"INSERT OR IGNORE INTO model_year_engine (model_id, year_id, engine_id) VALUES (?, ?, ?)",
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(model_id, year_id, engine_id)
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)
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return cursor.rowcount > 0
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except Exception as e:
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print(f" DB Error: {e}")
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return False
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def get_existing_years(conn, brand):
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"""Obtiene los años que ya existen para esta marca"""
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cursor = conn.cursor()
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cursor.execute("""
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SELECT DISTINCT y.year
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FROM years y
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JOIN model_year_engine mye ON y.id = mye.year_id
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JOIN models m ON mye.model_id = m.id
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JOIN brands b ON m.brand_id = b.id
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WHERE b.name = ?
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""", (brand,))
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return set(row[0] for row in cursor.fetchall())
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def process_batch(conn, brand, years_batch, batch_num, total_batches):
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"""Procesa un lote de 5 años"""
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print(f"\n{'='*60}")
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print(f"[{brand}] LOTE {batch_num}/{total_batches}: Años {years_batch}")
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print('='*60)
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batch_saved = 0
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batch_total = 0
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for year in years_batch:
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print(f"\n[{brand} - Año {year}] Obteniendo modelos... ", end="", flush=True)
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models = get_models(brand, year)
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print(f"{len(models)} modelos encontrados")
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if not models:
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print(f" No se encontraron modelos para {year}")
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continue
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for model in models:
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engines = get_engines(brand, year, model)
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for engine in engines:
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batch_total += 1
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if save_to_db(conn, brand, year, model, engine):
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batch_saved += 1
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print(f" {model} - {engine}")
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# Guardar cambios del lote
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conn.commit()
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print(f"\n>> Lote {batch_num} completado: {batch_saved} nuevos de {batch_total} encontrados")
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return batch_saved, batch_total
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def get_brand_batches(conn, brand):
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"""Obtiene los lotes disponibles para una marca"""
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existing = get_existing_years(conn, brand)
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years_to_process = [y for y in ALL_YEARS if y not in existing]
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if not years_to_process:
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return [], existing
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batches = [years_to_process[i:i+BATCH_SIZE] for i in range(0, len(years_to_process), BATCH_SIZE)]
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return batches, existing
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def process_brand(conn, brand, start_batch=1):
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"""Procesa una marca completa desde un lote específico"""
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print(f"\n{'#'*60}")
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print(f" PROCESANDO MARCA: {brand}")
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print(f"{'#'*60}")
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# Verificar qué años ya existen
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existing = get_existing_years(conn, brand)
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print(f"Años existentes de {brand}: {len(existing)} años")
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if existing:
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print(f" Rango existente: {min(existing)}-{max(existing)}")
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# Filtrar solo los que faltan
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years_to_process = [y for y in ALL_YEARS if y not in existing]
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if not years_to_process:
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print(f"\n[OK] {brand}: Todos los años ya están en la base de datos!")
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return 0, 0
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print(f"\nAños por procesar para {brand}: {len(years_to_process)}")
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print(f" De {max(years_to_process)} a {min(years_to_process)}")
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# Dividir en lotes de 5
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batches = [years_to_process[i:i+BATCH_SIZE] for i in range(0, len(years_to_process), BATCH_SIZE)]
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total_batches = len(batches)
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print(f"Lotes de {BATCH_SIZE} años: {total_batches} lotes")
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if start_batch > 1:
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print(f"\n>>> Comenzando desde el lote {start_batch} <<<")
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total_saved = 0
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total_found = 0
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for i, batch in enumerate(batches, 1):
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# Saltar lotes anteriores al inicial
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if i < start_batch:
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continue
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saved, found = process_batch(conn, brand, batch, i, total_batches)
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total_saved += saved
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total_found += found
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# Si no es el último lote, esperar para cambiar VPN
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if i < total_batches:
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wait_with_skip(WAIT_TIME, f"PAUSA DE {WAIT_TIME//60} MINUTOS - [{brand}] Lotes restantes: {total_batches - i}")
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return total_saved, total_found
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def show_batch_menu(conn):
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"""Muestra menú para seleccionar marca y lote inicial"""
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print("\n" + "="*60)
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print(" MENÚ DE SELECCIÓN DE LOTES")
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print("="*60)
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brand_info = {}
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for i, brand in enumerate(BRANDS, 1):
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batches, existing = get_brand_batches(conn, brand)
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brand_info[brand] = {'batches': batches, 'existing': existing}
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if batches:
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print(f"\n {i}. {brand}")
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print(f" Años existentes: {len(existing)}")
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print(f" Lotes pendientes: {len(batches)}")
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for j, batch in enumerate(batches, 1):
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print(f" Lote {j}: años {batch[0]}-{batch[-1]}")
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else:
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print(f"\n {i}. {brand} - [COMPLETO]")
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print(f"\n 0. Procesar todo desde el inicio")
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print("="*60)
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# Seleccionar marca
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while True:
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try:
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choice = input("\nSelecciona marca (0 para todo): ").strip()
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if choice == '0' or choice == '':
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return None, 1 # Procesar todo
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brand_idx = int(choice) - 1
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if 0 <= brand_idx < len(BRANDS):
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selected_brand = BRANDS[brand_idx]
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break
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print("Opción inválida")
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except ValueError:
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print("Ingresa un número válido")
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batches = brand_info[selected_brand]['batches']
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if not batches:
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print(f"\n{selected_brand} ya está completo!")
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return selected_brand, 1
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# Seleccionar lote
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print(f"\n--- Lotes de {selected_brand} ---")
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for j, batch in enumerate(batches, 1):
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print(f" {j}. Lote {j}: años {batch[0]}-{batch[-1]}")
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while True:
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try:
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batch_choice = input(f"\nComenzar desde lote (1-{len(batches)}): ").strip()
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if batch_choice == '':
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return selected_brand, 1
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batch_num = int(batch_choice)
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if 1 <= batch_num <= len(batches):
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return selected_brand, batch_num
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print(f"Ingresa un número entre 1 y {len(batches)}")
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except ValueError:
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print("Ingresa un número válido")
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def main():
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print("="*60)
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print(" SCRAPER FORD, CHEVROLET")
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print(f" Años: 1975-2026 | Lotes de {BATCH_SIZE} años")
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print(f" Pausa entre lotes: {WAIT_TIME//60} minutos")
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print(" >>> Presiona ENTER para saltar esperas <<<")
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print("="*60)
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# Verificar base de datos
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if not os.path.exists(DB_PATH):
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print(f"\n[ERROR] Base de datos no encontrada: {DB_PATH}")
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print("Verifica que la ruta sea correcta.")
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sys.exit(1)
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print(f"\nBase de datos: {DB_PATH}")
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conn = sqlite3.connect(DB_PATH)
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# Mostrar estado inicial
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print(f"\nMarcas a procesar: {', '.join(BRANDS)}")
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print(f"Rango de años: {min(ALL_YEARS)}-{max(ALL_YEARS)} ({len(ALL_YEARS)} años)")
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# Menú de selección de lotes
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selected_brand, start_batch = show_batch_menu(conn)
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grand_total_saved = 0
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grand_total_found = 0
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brand_stats = {}
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# Determinar qué marcas procesar
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if selected_brand:
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# Solo procesar la marca seleccionada desde el lote indicado
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brands_to_process = [selected_brand]
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start_batches = {selected_brand: start_batch}
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else:
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# Procesar todas las marcas desde el inicio
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brands_to_process = BRANDS
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start_batches = {brand: 1 for brand in BRANDS}
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for brand in brands_to_process:
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saved, found = process_brand(conn, brand, start_batches.get(brand, 1))
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brand_stats[brand] = {'saved': saved, 'found': found}
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grand_total_saved += saved
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grand_total_found += found
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# Pausa entre marcas (si hay otra marca por procesar)
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if brand != brands_to_process[-1]:
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wait_with_skip(WAIT_TIME, f"PAUSA ENTRE MARCAS - Siguiente: {brands_to_process[brands_to_process.index(brand)+1]}")
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conn.close()
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print("\n" + "="*60)
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print(" RESUMEN FINAL")
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print("="*60)
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for brand, stats in brand_stats.items():
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print(f" {brand}:")
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print(f" Encontrados: {stats['found']}")
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print(f" Nuevos guardados: {stats['saved']}")
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print("-"*60)
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print(f" TOTAL:")
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print(f" Vehículos encontrados: {grand_total_found}")
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print(f" Nuevos guardados: {grand_total_saved}")
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print("="*60)
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if __name__ == "__main__":
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main()
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