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修复数据库初始化问题、删除过时的数据库格式方法、修复空停用词错误。

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Showing 5 changed files with 112 additions and 276 deletions
... ... @@ -35,6 +35,8 @@ class AsyncWordCloudGenerator:
jieba.add_word(word)
def load_stop_words(self):
if not os.path.exists(self.stop_words_file):
return set()
with open(self.stop_words_file, 'r', encoding='utf-8') as f:
return set(f.read().strip().split('\n'))
... ...
... ... @@ -24,7 +24,7 @@ except ImportError:
logger.error("错误: 无法导入config.py配置文件")
sys.exit(1)
from MindSpider.config import settings
from config import settings
class DatabaseManager:
def __init__(self):
... ...
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
MindSpider AI爬虫项目 - 数据库初始化脚本
用于创建项目所需的所有数据库表
MindSpider 数据库初始化（SQLAlchemy 2.x 异步引擎）
此脚本创建 MindSpider 扩展表（与 MediaCrawler 原始表分离）。
支持 MySQL 与 PostgreSQL，需已有可连接的数据库实例。
数据模型定义位置：
- MindSpider/schema/models_sa.py
"""
from __future__ import annotations
import asyncio
import os
from typing import Optional
from loguru import logger
from sqlalchemy.ext.asyncio import create_async_engine
from sqlalchemy import text
from models_sa import Base
# 导入 models_bigdata 以确保所有表类被注册到 Base.metadata
# models_bigdata 现在也使用 models_sa 的 Base，所以所有表都在同一个 metadata 中
import models_bigdata # noqa: F401 # 导入以注册所有表类
import sys
import pymysql
from pathlib import Path
from MindSpider.config import settings
# 添加项目根目录到路径
project_root = Path(__file__).parent.parent
sys.path.append(str(project_root))
# 导入配置
try:
import config
except ImportError:
print("错误: 无法导入config.py配置文件")
print("请确保config.py文件存在于项目根目录")
sys.exit(1)
def create_database_connection():
"""创建数据库连接"""
try:
connection = pymysql.connect(
host=settings.db_host,
port=settings.db_port,
user=settings.db_user,
password=settings.db_password,
charset=settings.db_charset,
autocommit=True
)
print(f"成功连接到MySQL服务器: {settings.db_host}:{settings.db_port}")
return connection
except Exception as e:
print(f"连接数据库失败: {e}")
return None
def create_database(connection):
"""创建数据库"""
try:
cursor = connection.cursor()
cursor.execute(f"CREATE DATABASE IF NOT EXISTS `{settings.db_name}` CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci")
cursor.execute(f"USE `{settings.db_name}`")
print(f"数据库 '{settings.db_name}' 创建/选择成功")
return True
except Exception as e:
print(f"创建数据库失败: {e}")
return False
def execute_sql_file(connection, sql_file_path, description=""):
"""执行SQL文件"""
if not os.path.exists(sql_file_path):
print(f"警告: SQL文件不存在: {sql_file_path}")
return False
try:
cursor = connection.cursor()
with open(sql_file_path, 'r', encoding='utf-8') as f:
sql_content = f.read()
# 分割SQL语句（简单实现，按分号分割）
sql_statements = [stmt.strip() for stmt in sql_content.split(';') if stmt.strip()]
success_count = 0
error_count = 0
for stmt in sql_statements:
if not stmt or stmt.startswith('--'):
continue
try:
cursor.execute(stmt)
success_count += 1
except Exception as e:
error_count += 1
print(f"执行SQL语句失败: {str(e)[:100]}...")
print(f"{description} - 成功执行: {success_count} 条语句, 失败: {error_count} 条语句")
return error_count == 0
except Exception as e:
print(f"执行SQL文件失败 {sql_file_path}: {e}")
return False
def main():
"""主函数"""
print("=" * 60)
print("MindSpider AI爬虫项目 - 数据库初始化")
print("=" * 60)
# 检查配置
print("检查数据库配置...")
print(f"数据库主机: {settings.db_host}")
print(f"数据库端口: {settings.db_port}")
print(f"数据库名称: {settings.db_name}")
print(f"数据库用户: {settings.db_user}")
print(f"字符集: {settings.db_charset}")
print()
# 创建数据库连接
print("正在连接数据库...")
connection = create_database_connection()
if not connection:
print("数据库初始化失败！")
return False
try:
# 创建数据库
print("正在创建/选择数据库...")
if not create_database(connection):
return False
# 获取SQL文件路径
schema_dir = Path(__file__).parent
mediacrawler_sql = schema_dir.parent / "DeepSentimentCrawling" / "MediaCrawler" / "schema" / "tables.sql"
mindspider_sql = schema_dir / "mindspider_tables.sql"
print()
print("开始执行SQL脚本...")
# 1. 执行MediaCrawler的原始表结构
if mediacrawler_sql.exists():
print("1. 创建MediaCrawler基础表...")
execute_sql_file(connection, str(mediacrawler_sql), "MediaCrawler基础表")
else:
print("警告: MediaCrawler SQL文件不存在，跳过基础表创建")
# 2. 执行MindSpider扩展表结构
print("2. 创建MindSpider扩展表...")
if mindspider_sql.exists():
execute_sql_file(connection, str(mindspider_sql), "MindSpider扩展表")
else:
print("错误: MindSpider SQL文件不存在")
return False
print()
print("=" * 60)
print("数据库初始化完成！")
print("=" * 60)
# 显示创建的表
cursor = connection.cursor()
cursor.execute("SHOW TABLES")
tables = cursor.fetchall()
print(f"数据库 '{settings.db_name}' 中共创建了 {len(tables)} 个表:")
for table in tables:
print(f" - {table[0]}")
print()
print("数据库初始化成功完成！您现在可以开始使用MindSpider了。")
return True
except Exception as e:
print(f"数据库初始化过程中发生错误: {e}")
return False
finally:
if connection:
connection.close()
print("数据库连接已关闭")
from config import settings
def _env(key: str, default: Optional[str] = None) -> Optional[str]:
v = os.getenv(key)
return v if v not in (None, "") else default
def _build_database_url() -> str:
# 优先 DATABASE_URL
database_url = settings.DATABASE_URL if hasattr(settings, "DATABASE_URL") else None
if database_url:
return database_url
dialect = (settings.DB_DIALECT or "mysql").lower()
host = settings.DB_HOST or "localhost"
port = str(settings.DB_PORT or ("3306" if dialect == "mysql" else "5432"))
user = settings.DB_USER or "root"
password = settings.DB_PASSWORD or ""
db_name = settings.DB_NAME or "mindspider"
if dialect in ("postgresql", "postgres"):
return f"postgresql+asyncpg://{user}:{password}@{host}:{port}/{db_name}"
return f"mysql+aiomysql://{user}:{password}@{host}:{port}/{db_name}"
async def _create_views_if_needed(engine_dialect: str):
# 视图为可选；仅当业务需要时创建。两端使用通用 SQL 聚合避免方言函数。
# 如不需要视图，可跳过。
engine_dialect = engine_dialect.lower()
v_topic_crawling_stats = (
"CREATE OR REPLACE VIEW v_topic_crawling_stats AS\n"
"SELECT dt.topic_id, dt.topic_name, dt.extract_date, dt.processing_status,\n"
" COUNT(DISTINCT ct.task_id) AS total_tasks,\n"
" SUM(CASE WHEN ct.task_status = 'completed' THEN 1 ELSE 0 END) AS completed_tasks,\n"
" SUM(CASE WHEN ct.task_status = 'failed' THEN 1 ELSE 0 END) AS failed_tasks,\n"
" SUM(COALESCE(ct.total_crawled,0)) AS total_content_crawled,\n"
" SUM(COALESCE(ct.success_count,0)) AS total_success_count,\n"
" SUM(COALESCE(ct.error_count,0)) AS total_error_count\n"
"FROM daily_topics dt\n"
"LEFT JOIN crawling_tasks ct ON dt.topic_id = ct.topic_id\n"
"GROUP BY dt.topic_id, dt.topic_name, dt.extract_date, dt.processing_status"
)
v_daily_summary = (
"CREATE OR REPLACE VIEW v_daily_summary AS\n"
"SELECT dn.crawl_date AS crawl_date,\n"
" COUNT(DISTINCT dn.news_id) AS total_news,\n"
" COUNT(DISTINCT dn.source_platform) AS platforms_covered,\n"
" (SELECT COUNT(*) FROM daily_topics WHERE extract_date = dn.crawl_date) AS topics_extracted,\n"
" (SELECT COUNT(*) FROM crawling_tasks WHERE scheduled_date = dn.crawl_date) AS tasks_created\n"
"FROM daily_news dn\n"
"GROUP BY dn.crawl_date\n"
"ORDER BY dn.crawl_date DESC"
)
# PostgreSQL 的 CREATE OR REPLACE VIEW 也可用；两端均执行
from sqlalchemy.ext.asyncio import AsyncEngine
engine: AsyncEngine = create_async_engine(_build_database_url())
async with engine.begin() as conn:
await conn.execute(text(v_topic_crawling_stats))
await conn.execute(text(v_daily_summary))
await engine.dispose()
async def main() -> None:
database_url = _build_database_url()
engine = create_async_engine(database_url, pool_pre_ping=True, pool_recycle=1800)
# 由于 models_bigdata 和 models_sa 现在共享同一个 Base，所有表都在同一个 metadata 中
# 只需创建一次，SQLAlchemy 会自动处理表之间的依赖关系
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# 保持原有视图创建和释放逻辑
dialect_name = engine.url.get_backend_name()
await _create_views_if_needed(dialect_name)
await engine.dispose()
logger.info("[init_database_sa] 数据表与视图创建完成")
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)
asyncio.run(main())
... ...
"""
MindSpider 数据库初始化（SQLAlchemy 2.x 异步引擎）
此脚本创建 MindSpider 扩展表（与 MediaCrawler 原始表分离）。
支持 MySQL 与 PostgreSQL，需已有可连接的数据库实例。
数据模型定义位置：
- MindSpider/schema/models_sa.py
"""
from __future__ import annotations
import asyncio
import os
from typing import Optional
from loguru import logger
from sqlalchemy.ext.asyncio import create_async_engine
from sqlalchemy import text
from models_sa import Base
# 导入 models_bigdata 以确保所有表类被注册到 Base.metadata
# models_bigdata 现在也使用 models_sa 的 Base，所以所有表都在同一个 metadata 中
import models_bigdata # noqa: F401 # 导入以注册所有表类
import sys
from pathlib import Path
# 添加项目根目录到路径
project_root = Path(__file__).parent.parent
sys.path.append(str(project_root))
from config import settings
def _env(key: str, default: Optional[str] = None) -> Optional[str]:
v = os.getenv(key)
return v if v not in (None, "") else default
def _build_database_url() -> str:
# 优先 DATABASE_URL
database_url = settings.DATABASE_URL if hasattr(settings, "DATABASE_URL") else None
if database_url:
return database_url
dialect = (settings.DB_DIALECT or "mysql").lower()
host = settings.DB_HOST or "localhost"
port = str(settings.DB_PORT or ("3306" if dialect == "mysql" else "5432"))
user = settings.DB_USER or "root"
password = settings.DB_PASSWORD or ""
db_name = settings.DB_NAME or "mindspider"
if dialect in ("postgresql", "postgres"):
return f"postgresql+asyncpg://{user}:{password}@{host}:{port}/{db_name}"
return f"mysql+aiomysql://{user}:{password}@{host}:{port}/{db_name}"
async def _create_views_if_needed(engine_dialect: str):
# 视图为可选；仅当业务需要时创建。两端使用通用 SQL 聚合避免方言函数。
# 如不需要视图，可跳过。
engine_dialect = engine_dialect.lower()
v_topic_crawling_stats = (
"CREATE OR REPLACE VIEW v_topic_crawling_stats AS\n"
"SELECT dt.topic_id, dt.topic_name, dt.extract_date, dt.processing_status,\n"
" COUNT(DISTINCT ct.task_id) AS total_tasks,\n"
" SUM(CASE WHEN ct.task_status = 'completed' THEN 1 ELSE 0 END) AS completed_tasks,\n"
" SUM(CASE WHEN ct.task_status = 'failed' THEN 1 ELSE 0 END) AS failed_tasks,\n"
" SUM(COALESCE(ct.total_crawled,0)) AS total_content_crawled,\n"
" SUM(COALESCE(ct.success_count,0)) AS total_success_count,\n"
" SUM(COALESCE(ct.error_count,0)) AS total_error_count\n"
"FROM daily_topics dt\n"
"LEFT JOIN crawling_tasks ct ON dt.topic_id = ct.topic_id\n"
"GROUP BY dt.topic_id, dt.topic_name, dt.extract_date, dt.processing_status"
)
v_daily_summary = (
"CREATE OR REPLACE VIEW v_daily_summary AS\n"
"SELECT dn.crawl_date AS crawl_date,\n"
" COUNT(DISTINCT dn.news_id) AS total_news,\n"
" COUNT(DISTINCT dn.source_platform) AS platforms_covered,\n"
" (SELECT COUNT(*) FROM daily_topics WHERE extract_date = dn.crawl_date) AS topics_extracted,\n"
" (SELECT COUNT(*) FROM crawling_tasks WHERE scheduled_date = dn.crawl_date) AS tasks_created\n"
"FROM daily_news dn\n"
"GROUP BY dn.crawl_date\n"
"ORDER BY dn.crawl_date DESC"
)
# PostgreSQL 的 CREATE OR REPLACE VIEW 也可用；两端均执行
from sqlalchemy.ext.asyncio import AsyncEngine
engine: AsyncEngine = create_async_engine(_build_database_url())
async with engine.begin() as conn:
await conn.execute(text(v_topic_crawling_stats))
await conn.execute(text(v_daily_summary))
await engine.dispose()
async def main() -> None:
database_url = _build_database_url()
engine = create_async_engine(database_url, pool_pre_ping=True, pool_recycle=1800)
# 由于 models_bigdata 和 models_sa 现在共享同一个 Base，所有表都在同一个 metadata 中
# 只需创建一次，SQLAlchemy 会自动处理表之间的依赖关系
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# 保持原有视图创建和释放逻辑
dialect_name = engine.url.get_backend_name()
await _create_views_if_needed(dialect_name)
await engine.dispose()
logger.info("[init_database_sa] 数据表与视图创建完成")
if __name__ == "__main__":
asyncio.run(main())
... ... @@ -34,6 +34,8 @@ pymysql==1.1.0
aiomysql==0.2.0
aiosqlite==0.21.0
redis>=4.6.0
SQLAlchemy==2.0.35
asyncpg==0.29.0
# ===== 爬虫相关 =====
playwright==1.45.0
... ... @@ -64,6 +66,7 @@ tqdm>=4.65.0
tenacity==8.2.2
loguru>=0.7.0
pydantic==2.5.2
pydantic-settings==2.2.1
# ===== 开发工具（可选） =====
pytest>=7.4.0
... ...