def run_test():
# 引入测试逻辑服务类
from services import pony_orm_test_service as pots
from db import db
print('进行测试业务逻辑')
# pony db 数据库引擎初始化
db.init_db(True, True, False)
pots.add_data_artist_for_mysql()
pots.add_data_artist_for_oracle()
pass
def run():
try:
print('run,当前时间=>', get_now_time())
# 使用时 再次声明，表示在这里使用的是全局变量，而不是局部变量
global org_id
global that_week_min
global that_week_max
print(org_id, that_week_min, that_week_max)
# 开始lmt实际逻辑
# 引入罗美特逻辑服务类
from services import pony_orm_lmt_service as pols
from db import db
print('...机构号:', org_id, '进行罗美特业务逻辑-数据清洗')
# 从通用配置里拿出以下三个配置
is_show_sql, is_mysql_create_tables, is_oracle_create_tables = ccfa[
'is_show_sql'], ccfa['is_mysql_create_tables'], ccfa[
'is_oracle_create_tables']
# pony db 数据库引擎初始化
db.init_db(is_show_sql, is_mysql_create_tables,
is_oracle_create_tables)
# 开始吧
# 首先根据周二日期that_week_min 去查询SCADA_REPORT_XN_MID【ScadaReportXNMid】表
srxm_list_that_week_min, srxm_qr = pols.deal_with_data_for_oracle_srxm_select_where_with_org_id(
org_id, that_week_min)
# Mysql数据处理 和 MySQLToOracle入库
if len(srxm_list_that_week_min) >= 1:
# 查询出数据 去执行数据转移代码
print(
'...机构号:', org_id,
'...Oracle...srxm_list...len...查询ScadaReportXNMid总条数: ' +
str(len(srxm_list_that_week_min)), ' 时间: ', that_week_min,
'去执行数据清洗')
# 打印一条直线 95个'-'
util.print_a_line(95)
pols.datas_from_mid_to_week_wash_data_oracle(
org_id, srxm_list_that_week_min, srxm_qr, that_week_min,
that_week_max)
else:
# 未查询出数据 输出提示即可
print(
'...机构号:', org_id,
'...Oracle...srxm_list...len...查询ScadaReportXNMid总条数: ' +
str(len(srxm_list_that_week_min)), ' 时间: ', that_week_min,
'无需执行数据清洗 跳出程序')
return True
except Exception as e:
print("run Exception Error:%s" % e)
return False
finally:
pass
# 打印一条直线 95个'-'
util.print_a_line(95)
# 走到这里的话 那就代表run执行完毕
return True
def populate():
engine = connect_db(config.dev.DB_URI)
init_db(engine)
Session = sessionmaker(bind=engine, autoflush=True)
session = Session()
#test_team_orm(session)
#test_team_season_orm(session)
#test_player_orm(session)
#test_player_season_orm(session)
#test_salary_orm(session)
#spotrac_salaries(session)
session.close()
def get_db_conn():
try:
db_conn = init_db(get_db_settings())
except psycopg2.OperationalError:
return None, format_error(
"Parâmetros de conexão incorretos ou banco de dados não disponível"
)
return db_conn, None
def create_app(test_config=None):
"""
Creates app
"""
app = Flask(__name__, instance_relative_config=True)
app.config.from_mapping(
# Make sure to change debug to False in production env
DEBUG=config('DEBUG', default=False),
SECRET_KEY=config('SECRET_KEY', default='dev'), # CHANGE THIS!!!!
LOGFILE=config('LOGFILE', os.path.join(
app.instance_path, 'logs/debug.log')),
CACHE_TYPE=config('CACHE_TYPE', 'simple'), # Configure caching
# Long cache times probably ok for ML api
CACHE_DEFAULT_TIMEOUT=config('CACHE_DEFAULT_TIMEOUT', 300),
TESTING=config('TESTING', default='TRUE'),
)
# Enable CORS header support
CORS(app)
##############
### Routes ###
##############
@app.route('/', methods=['GET'])
def home():
return "This is an example app"
@app.route('/image/<sid>', methods=['GET'])
def get_image(sid: str = None, num_img: int = 1):
if sid is None:
raise HTTPException(400, 'Bad Request. Must submit valid SID')
return send_file(
fetch_images(sid, num_img),
mimetype='image/png')
#############
###Logging###
#############
# Change logging.INFO to logging.DEBUG to get full logs. Will be a crapload of information.
# May significantly impair performance if writing logfile to disk (or network drive).
# To enable different services, see README.md
gunicorn_logger = logging.getLogger('gunicorn.error')
app.logger.handlers.extend(gunicorn_logger.handlers)
app.logger.setLevel(gunicorn_logger.level)
app.logger.info('Application logging Set')
# File logging. Remove in PROD
if app.config['TESTING'] == 'TRUE':
app.logger.info('Using TESTING log config.')
logging.basicConfig(
filename=app.config['LOGFILE'],
level=logging.INFO,
format='[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s', datefmt='%Y-%m-%d %H:%M:%S %z')
logging.getLogger('flask_cors').level = logging.INFO
# Register database functions. Will allow db.close() to run on teardown
from db import db
db.init_db()
app.logger.info('Database functionality initialized. Click commands available.')
return app
def init_app():
db.init_db()
key = get_key()
if key == 'q':
sys.stdout.write(restoreCursor)
sys.stdout.flush()
sys.exit(0)
elif key == 'r':
reset = True
elif key == 'p' or key == ' ':
pause = True
elif key == 's':
if reset: reset = not reset
if pause: pause = not pause
if __name__ == '__main__':
db.init_db()
reset = False
pause = True # chron starts paused
user, sound, task = menu.get_user(),\
menu.get_sound(),\
menu.get_task()
case = task['pomotime'] * 60
case_break = task['breaktime'] * 60
welcome_msg(user[1])
instance = vlc.Instance()
player = instance.media_player_new()
BASE_DIR = path.dirname(path.realpath(__file__))
media = instance.media_new(path.join(BASE_DIR, 'sounds/'+sound))
from flask import Flask, jsonify, request
from db.db import init_db
from db.db import db_session
from models.dataModel import *
from models.outputModel import *
app = Flask(__name__)
init_db()
from methods import methods
from Routes import router
@app.route('/<id>/<date_initial>/<date_end>', methods=["GET"])
def display(id, date_initial, date_end):
return router.view(id, date_initial, date_end)
if __name__ == "__main__":
app.run(port=3000)
def maintain_db(args: argparse.Namespace) -> None:
"""
Initialize the database with Messages and Tasks tables. Just calles
init_db() from the db module.
"""
db.init_db()
from peewee import *
from db.db import init_db
db = init_db()
print(db)
class BaseModel(Model):
"""A base model that will use our Postgresql database"""
class Meta:
database = db
class HealthCheckModel(BaseModel):
# memid = AutoField()
url = CharField()
duration = FloatField()
response_code = IntegerField()
date = DateTimeField()
class Meta:
table_name = 'health_check'
try:
HealthCheckModel.create_table()
except Exception as e:
print(e)
def run():
try:
print('run,当前时间=>', get_now_time())
# 使用时 再次声明，表示在这里使用的是全局变量，而不是局部变量
global org_id
global that_day_min
global that_day_max
print(org_id, that_day_min, that_day_max)
# 开始lmt实际逻辑
# 引入罗美特逻辑服务类
from services import pony_orm_lmt_service as pols
from db import db
print('...机构号:', org_id, '进行罗美特业务逻辑')
# 从通用配置里拿出以下三个配置
is_show_sql, is_mysql_create_tables, is_oracle_create_tables = cc[
'is_show_sql'], cc['is_mysql_create_tables'], cc[
'is_oracle_create_tables']
# pony db 数据库引擎初始化
db.init_db(is_show_sql, is_mysql_create_tables,
is_oracle_create_tables)
# 方法1
# # 首先 通过日期查询当前日期是否已经写入lmt Oracle数据库
# srxm_list, srxm_qr = pols.deal_with_data_for_oracle_srxm_select_where(that_day_min)
# # 有的话 先删除
# if len(srxm_list) >= 1:
# # 删除
# pols.deal_with_data_for_oracle_srxm_del_all(srxm_qr)
# 方法2 直接查询和删除 一体化 按道理 第二种性能更好 一块提交事务
# 通过that_day_min和that_day_max 拿出所有的对应日 肯定不会跨年 跨月 所以不用理会
this_year, this_month, days_list = util.get_days_list_from_day_min_to_day_max(
that_day_min, that_day_max)
# pols.deal_with_data_for_oracle_srxm_del_all_with_where(org_id, that_day_min)
# 使用更改版 - 循环日期进行删除
print('...机构号:', org_id, '...循环删除...共需删除天份数为：', str(len(days_list)),
'天数对应日期范围:', that_day_min, that_day_max)
for this_day in days_list:
pols.deal_with_data_for_oracle_srxm_del_all_with_where2(
org_id, this_year, this_month, this_day)
# 删除之后 在从MySQL数据库查询出来当前日期数据 经过数据再次处理之后 写入lmt Oracle数据库
# 查询所有 不用这个
# pols.deal_with_data_for_mysql_mrm_select_all()
# 条件查询 使用
mrm_list, mrm_qr = pols.deal_with_data_for_mysql_mrm_select_where(
that_day_min, that_day_max)
# Mysql数据处理 和 MySQLToOracle入库
if len(mrm_list) >= 1:
# 查询出数据 去执行数据转移代码
print(
'...机构号:', org_id,
'...MySQL...mrm_list...len...查询MeterReportMonth总条数: ' +
str(len(mrm_list)), ' 时间范围: ', that_day_min, ' to ',
that_day_max, '去执行数据转移')
pols.datas_from_mysql_to_oracle(org_id, mrm_list, mrm_qr)
else:
# 未查询出数据 输出提示即可
print(
'...机构号:', org_id,
'...MySQL...mrm_list...len...查询MeterReportMonth总条数: ' +
str(len(mrm_list)), ' 时间范围: ', that_day_min, ' to ',
that_day_max, '无需执行数据转移')
return True
except Exception as e:
print("run Exception Error:%s" % e)
return False
finally:
pass
# 打印一条直线 95个'-'
util.print_a_line(95)
# 走到这里的话 那就代表run执行完毕
return True