Я должен сравнить два температурных фрейма и передать его пользователю с помощью колбы. Мои данные находятся в базе данных MariaDb.
Итак, запрос Get, который я получаю, - это две сравниваемые температуры: start_date, end_date и значение сравнения
Когда я получаю GET-запрос в колбеЯ создаю первый кадр данных для первой температуры и создаю второй кадр данных для второй температуры </p>
<pre><code>import flask
import pandas as pd
from sqlalchemy import create_engine, text
# engine creation
engine = create_engine("mysql+pymysql://user:pass@localhost/db", echo=True)
conn_sql_alchemy = engine.connect()
# function to create dataframe for
def create_dataframe(obj, start_date, end_date):
# with obj, start_date and end_date I create a request like this one
sql_sp_query = text("select timestamp, value from db.tldata where pointId = (select Id from db.device_pointList where DeviceId = ( select Id from db.device where device_instance =200) and ObjectId = 9 and object='trendLog') and timestamp between '2019-10-30 00:00:00' and '2019-10-31 23:59:59'")
#creation of dataframe
pd_datas = pd.read_sql_query(sql_sp_query, conn_sql_alchemy, index_col="timestamp")
# return dataframe
return pd_datas
# flask route
@app.route('/analyse_co/<object_sp>/<object_ai>/<start_date>/<end_date>/<difference>')
def analyse_co(object_sp, object_ai, start_date, end_date, difference):
print('creation of dataframe for object_ai')
pd_ai_datas = create_dataframe(object_ai, start_date, end_date)
print(pd_ai_datas)
print('creation of dataframe for object_sp')
pd_sp_datas = create_dataframe(object_sp, start_date, end_date)
print(pd_sp_datas)
return 'finish'
Когда я пробую свое приложение в режиме разработки, я получаю ожидаемый результат, я получаюдва моих кадра данных напечатаны на консоли, а на веб-странице см. «Готово»
Результат на консоли:
creation of dataframe for object_ai
2019-11-08 08:34:32,113 INFO sqlalchemy.engine.base.Engine select timestamp, value from db.tldata where pointId = (select Id from db.device_pointList where DeviceId = ( select Id from db.device where device_instance =200) and ObjectId = 7 and object='trendLog') and timestamp between '2019-10-30 00:00:00' and '2019-10-31 23:59:59'
2019-11-08 08:34:32,114 INFO sqlalchemy.engine.base.Engine {}
timestamp value
2019-10-30 00:00:00 10.475613
2019-10-30 00:15:00 8.461939
2019-10-30 00:30:00 5.507755
2019-10-30 00:45:00 8.461939
2019-10-30 01:00:00 5.507755
... ...
2019-10-31 22:45:00 10.641429
2019-10-31 23:00:00 1.556020
2019-10-31 23:15:00 11.016837
2019-10-31 23:30:00 8.576020
2019-10-31 23:45:00 9.379898
[192 rows x 1 columns]
creation of dataframe for object_sp
2019-11-08 08:34:32,222 INFO sqlalchemy.engine.base.Engine select timestamp, value from db.tldata where pointId = (select Id from db.device_pointList where DeviceId = ( select Id from db.device where device_instance =200) and ObjectId = 9 and object='trendLog') and timestamp between '2019-10-30 00:00:00' and '2019-10-31 23:59:59'
2019-11-08 08:34:32,223 INFO sqlalchemy.engine.base.Engine {}
timestamp value
2019-10-30 00:00:00 14.265137
2019-10-30 00:15:00 15.733887
2019-10-30 00:30:00 17.308594
2019-10-30 00:45:00 18.942383
2019-10-30 01:00:00 20.517090
... ...
2019-10-31 22:45:00 03.228516
2019-10-31 23:00:00 04.716309
2019-10-31 23:15:00 06.372070
2019-10-31 23:30:00 07.834961
2019-10-31 23:45:00 09.363281
[192 rows x 1 columns]
10.23.1.41 - - [08/Nov/2019 08:34:32] "GET /analyse_co/200.tl9/200.tl7/2019-10-30/2019-10-31/2 HTTP/1.1" 200 -
Когда я пробую свое приложение, используя nginx и gunicorn в HTTPS, в журнале я просто вижусоздание моего первого информационного кадра, второй игнорируется, и у меня нет ошибки на моей веб-странице, я вижу, закончить ...
Nov 8 08:35:04 rockpro64 gunicorn[24608]: creation of dataframe for object_ai
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-11-08 08:35:04,050 INFO sqlalchemy.engine.base.Engine select timestamp, value from db.tldata where pointId = (select Id from db.device_pointList where DeviceId = ( select Id from db.device where device_instance =200) and ObjectId = 7 and object='trendLog') and timestamp between '2019-10-30 00:00:00' and '2019-10-31 23:59:59'
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-11-08 08:35:04,050 INFO sqlalchemy.engine.base.Engine {}
Nov 8 08:35:04 rockpro64 gunicorn[24608]: value
Nov 8 08:35:04 rockpro64 gunicorn[24608]: timestamp
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-30 00:00:00 10.475613
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-30 00:15:00 8.461939
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-30 00:30:00 5.507755
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-30 00:45:00 8.461939
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-30 01:00:00 5.507755
Nov 8 08:35:04 rockpro64 gunicorn[24608]: ... ...
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-31 22:45:00 10.641429
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-31 23:00:00 1.556020
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-31 23:15:00 11.016837
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-31 23:30:00 8.576020
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-10-31 23:45:00 9.379898
Nov 8 08:35:04 rockpro64 gunicorn[24608]: [192 rows x 1 columns]
Nov 8 08:35:04 rockpro64 gunicorn[24608]: creation of dataframe for object_sp
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-11-08 08:35:04,187 INFO sqlalchemy.engine.base.Engine select timestamp, value from db.tldata where pointId = (select Id from db.device_pointList where DeviceId = ( select Id from db.device where device_instance =200) and ObjectId = 9 and object='trendLog') and timestamp between '2019-10-30 00:00:00' and '2019-10-31 23:59:59'
Nov 8 08:35:04 rockpro64 gunicorn[24608]: 2019-11-08 08:35:04,187 INFO sqlalchemy.engine.base.Engine {}