255 lines
9.8 KiB
Python
255 lines
9.8 KiB
Python
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#!/usr/local/bin/python
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# -*- coding: utf-8 -*-
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# apk add py-mysqldb or
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import platform
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from datetime import datetime
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import time
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import sys
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import os
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import MySQLdb
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from sqlalchemy import create_engine
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from sqlalchemy.types import NVARCHAR
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from sqlalchemy import inspect
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from sqlalchemy.sql import text
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import pandas as pd
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import traceback
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import akshare as ak
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# 使用环境变量获得数据库。兼容开发模式可docker模式。
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MYSQL_HOST = os.environ.get('MYSQL_HOST') if (os.environ.get('MYSQL_HOST') != None) else "localhost"
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MYSQL_USER = os.environ.get('MYSQL_USER') if (os.environ.get('MYSQL_USER') != None) else "root"
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MYSQL_PWD = os.environ.get('MYSQL_PWD') if (os.environ.get('MYSQL_PWD') != None) else "1212"
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MYSQL_DB = os.environ.get('MYSQL_DB') if (os.environ.get('MYSQL_DB') != None) else "stock_data"
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MYSQL_PORT = os.environ.get('MYSQL_PORT') if (os.environ.get('MYSQL_PORT') != None) else "3306"
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print("MYSQL_HOST :", MYSQL_HOST, ",MYSQL_USER :", MYSQL_USER, ",MYSQL_DB :", MYSQL_DB)
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MYSQL_CONN_URL = "mysql+mysqldb://" + MYSQL_USER + ":" + MYSQL_PWD + "@" + MYSQL_HOST + ":" + MYSQL_PORT + "/" + MYSQL_DB + "?charset=utf8mb4"
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print("MYSQL_CONN_URL :", MYSQL_CONN_URL)
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__version__ = "2.0.0"
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# 每次发布时候更新。
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def engine():
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engine = create_engine(MYSQL_CONN_URL)
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#encoding='utf8', convert_unicode=True)
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return engine
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def engine_to_db(to_db):
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MYSQL_CONN_URL_NEW = "mysql+mysqldb://" + MYSQL_USER + ":" + MYSQL_PWD + "@" + MYSQL_HOST + ":" + MYSQL_PORT + "/" + to_db + "?charset=utf8mb4"
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engine = create_engine(MYSQL_CONN_URL_NEW)
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#encoding='utf8', convert_unicode=True)
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return engine
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# 通过数据库链接 engine。
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def conn():
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try:
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db = MySQLdb.connect(MYSQL_HOST, MYSQL_USER, MYSQL_PWD, MYSQL_DB, charset="utf8")
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# db.autocommit = True
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except Exception as e:
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print("conn error :", e)
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db.autocommit(on=True)
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return db.cursor()
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# 定义通用方法函数，插入数据库表，并创建数据库主键，保证重跑数据的时候索引唯一。
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def insert_db(data, table_name, write_index, primary_keys):
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# 插入默认的数据库。
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insert_other_db(MYSQL_DB, data, table_name, write_index, primary_keys)
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# 增加一个插入到其他数据库的方法。
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def insert_other_db(to_db, data, table_name, write_index, primary_keys):
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# 定义engine
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engine_mysql = engine_to_db(to_db)
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# 使用 http://docs.sqlalchemy.org/en/latest/core/reflection.html
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# 使用检查检查数据库表是否有主键。
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insp = inspect(engine_mysql)
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col_name_list = data.columns.tolist()
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# 如果有索引，把索引增加到varchar上面。
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if write_index:
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# 插入到第一个位置：
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col_name_list.insert(0, data.index.name)
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print(col_name_list)
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data.to_sql(name=table_name, con=engine_mysql, schema=to_db, if_exists='append',
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dtype={col_name: NVARCHAR(length=255) for col_name in col_name_list}, index=write_index)
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# print(insp.get_pk_constraint(table_name))
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# print()
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# print(type(insp))
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# 判断是否存在主键
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if insp.get_pk_constraint(table_name)['constrained_columns'] == []:
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with engine_mysql.connect() as con:
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try:
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# 使用 text 包裹 SQL 语句
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con.execute(text('ALTER TABLE `%s` ADD PRIMARY KEY (`%s`)' % (table_name, primary_keys)))
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except Exception as e:
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print("################## ADD PRIMARY KEY ERROR :", e)
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def fetch_all_data(table_name):
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engine_mysql = engine_to_db(MYSQL_DB)
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data = pd.read_sql_table(table_name, engine_mysql)
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return data
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def check_db_table(table_name):
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# 判断是否已存在此表。
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engine_mysql = engine_to_db(MYSQL_DB)
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insp = inspect(engine_mysql)
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if insp.has_table(table_name):
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return True
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else:
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return False
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def check_db_table_last_date(table_name):
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engine_mysql = engine_to_db(MYSQL_DB)
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insp = inspect(engine_mysql)
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if not insp.has_table(table_name):
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return None
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sql = f"SELECT `日期` FROM `{table_name}` ORDER BY `日期` DESC LIMIT 1"
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# params = (table_name,)
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result = select(sql)#, params)
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if not result:
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return None
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date_str = result[0][0]
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if not date_str:
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return None
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try:
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extracted_date_str = date_str.split(' ')[0]
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return datetime.strptime(extracted_date_str, "%Y-%m-%d").date()
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except ValueError:
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return None
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# 插入数据。
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def insert(sql, params=()):
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with conn() as db:
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print("insert sql:" + sql)
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try:
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db.execute(sql, params)
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except Exception as e:
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print("error :", e)
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# 查询数据
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# def select(sql, params=()):
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# with conn() as db:
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# print("select sql:" + sql)
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# try:
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# db.execute(sql, params)
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# except Exception as e:
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# print("error :", e)
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# result = db.fetchall()
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# return result
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def select(sql, params=None):
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# 假设conn()是一个有效的数据库连接函数
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with conn() as db:
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try:
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db.execute(sql, params)
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result = db.fetchall()
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return result
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except Exception as e:
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print(f"Error executing SQL query: {e}")
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return None
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# 计算数量
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def select_count(sql, params=()):
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with conn() as db:
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print("select sql:" + sql)
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try:
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db.execute(sql, params)
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except Exception as e:
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print("error :", e)
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result = db.fetchall()
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# 只有一个数组中的第一个数据
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if len(result) == 1:
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return int(result[0][0])
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else:
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return 0
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def delete_table(table_name):
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with conn() as db:
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drop_table_query = f"DROP TABLE IF EXISTS `{table_name}`"
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db.execute(drop_table_query)
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print(f"表 {table_name} 已删除，准备重新获取数据")
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# # 通用函数。获得日期参数。
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# def run_with_args(run_fun):
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# tmp_datetime_show = datetime.datetime.now() # 修改成默认是当日执行 + datetime.timedelta()
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# tmp_hour_int = int(tmp_datetime_show.strftime("%H"))
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# if tmp_hour_int < 12 :
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# # 判断如果是每天 中午 12 点之前运行，跑昨天的数据。
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# tmp_datetime_show = (tmp_datetime_show + datetime.timedelta(days=-1))
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# tmp_datetime_str = tmp_datetime_show.strftime("%Y-%m-%d %H:%M:%S.%f")
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# print("\n######################### hour_int %d " % tmp_hour_int)
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# str_db = "MYSQL_HOST :" + MYSQL_HOST + ", MYSQL_USER :" + MYSQL_USER + ", MYSQL_DB :" + MYSQL_DB
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# print("\n######################### " + str_db + " ######################### ")
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# print("\n######################### begin run %s %s #########################" % (run_fun, tmp_datetime_str))
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# start = time.time()
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# # 要支持数据重跑机制，将日期传入。循环次数
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# if len(sys.argv) == 3:
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# # python xxx.py 2017-07-01 10
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# tmp_year, tmp_month, tmp_day = sys.argv[1].split("-")
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# loop = int(sys.argv[2])
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# tmp_datetime = datetime.datetime(int(tmp_year), int(tmp_month), int(tmp_day))
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# for i in range(0, loop):
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# # 循环插入多次数据，重复跑历史数据使用。
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# # time.sleep(5)
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# tmp_datetime_new = tmp_datetime + datetime.timedelta(days=i)
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# try:
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# run_fun(tmp_datetime_new)
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# except Exception as e:
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# print("error :", e)
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# traceback.print_exc()
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# elif len(sys.argv) == 2:
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# # python xxx.py 2017-07-01
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# tmp_year, tmp_month, tmp_day = sys.argv[1].split("-")
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# tmp_datetime = datetime.datetime(int(tmp_year), int(tmp_month), int(tmp_day))
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# try:
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# run_fun(tmp_datetime)
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# except Exception as e:
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# print("error :", e)
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# traceback.print_exc()
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# else:
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# # tmp_datetime = datetime.datetime.now() + datetime.timedelta(days=-1)
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# try:
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# run_fun(tmp_datetime_show) # 使用当前时间
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# except Exception as e:
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# print("error :", e)
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# traceback.print_exc()
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# print("######################### finish %s , use time: %s #########################" % (
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# tmp_datetime_str, time.time() - start))
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# # 设置基础目录，每次加载使用。
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# bash_stock_tmp = "/data/cache/hist_data_cache/%s/%s/"
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# if not os.path.exists(bash_stock_tmp):
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# os.makedirs(bash_stock_tmp) # 创建多个文件夹结构。
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# print("######################### init tmp dir #########################")
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# # 增加读取股票缓存方法。加快处理速度。
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# def get_hist_data_cache(code, date_start, date_end):
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# cache_dir = bash_stock_tmp % (date_end[0:7], date_end)
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# # 如果没有文件夹创建一个。月文件夹和日文件夹。方便删除。
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# # print("cache_dir:", cache_dir)
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# if not os.path.exists(cache_dir):
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# os.makedirs(cache_dir)
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# cache_file = cache_dir + "%s^%s.gzip.pickle" % (date_end, code)
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# # 如果缓存存在就直接返回缓存数据。压缩方式。
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# if os.path.isfile(cache_file):
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# print("######### read from cache #########", cache_file)
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# return pd.read_pickle(cache_file, compression="gzip")
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# else:
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# print("######### get data, write cache #########", code, date_start, date_end)
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# stock = ak.stock_zh_a_hist(symbol= code, start_date=date_start, end_date=date_end, adjust="")
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# stock.columns = ['date', 'open', 'close', 'high', 'low', 'volume', 'amount', 'amplitude', 'quote_change',
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# 'ups_downs', 'turnover']
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# if stock is None:
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# return None
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# stock = stock.sort_index(0) # 将数据按照日期排序下。
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# print(stock)
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# stock.to_pickle(cache_file, compression="gzip")
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# return stock
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