【动态更新】弃用deprecated登记
由于各项目代码更新频率不一致，导致项目中存在已弃用或即将弃用的方法，故在此记录一下，方便查找，
以下的时间并非弃用时间，仅代表我发现的时间
SQLAlchemy：
2022-04-29更新
警告内容：
SADeprecationWarning: The Engine.table_names() method is deprecated and will be removed in a future release. Please refer to Inspector.get_table_names(). (deprecated since: 1.4)
调整方案：
tables_list = engine.table_names()
# 改为
from sqlalchemy import inspect
insp = inspect(engine)
tables_list = insp.get_table_names()
2023-02-10更新
警告内容:
AttributeError: 'Engine' object has no attribute 'execute'
自SQLAlchemy 2.0 开始变化
调整方案:
engine.execute(stmt)
# 改为
with engine.connect() as conn:
result = conn.execute(stmt)
conn.commit()
参考：https://stackoverflow.com/a/75316945
2023-02-23更新
警告内容:
'OptionEngine' object has no attribute 'execute'
自SQLAlchemy 2.0 开始变化
调整方案:
df = pd.read_sql_query(sql, engine)
# 改为
from sqlalchemy import text
df = pd.DataFrame(engine.connect().execute(text(sql)))
参考：https://stackoverflow.com/a/75309321
2023-03-28更新
LegacyCursorResult弃用
# LegacyCursorResult弃用
sqlalchemy.engine.cursor.LegacyCursorResult
# 改为
sqlalchemy.engine.cursor.CursorResult
2023-06-27更新
2.0开始，需要在SQL语句外用text()方法包裹才能执行
AttributeError: 'str' object has no attribute '_execute_on_connection'
session.execute('DELETE FROM table')
# 改为
from sqlalchemy import text
session.execute(text('DELETE FROM table'))
2023-06-29更新
2.0开始，表的元数据映射有一些变化
metadata = MetaData(engine)
table = Table('table_name', metadata, autoload=True)
报错：
expected schema argument to be a string, got .
改为
# 多线程下可复用metadata对象，而不需要重复创建
metadata = MetaData()
metadata.reflect(bind=engine)
table = Table('table_name', metadata, autoload=True)
第二种：
# 多线程下可复用metadata对象，而不需要重复创建
metadata = MetaData()
table = Table('table_name', metadata, autoload_with=engine)
其中第一种方式会映射所有表的元数据，耗时会比较长，而且数据库中表变化后，需要重新映射；
第二种方法是只映射某个表，所以效率更高一些。
两种方式各有优劣，比如如果数据库中表相对固定，更推荐第一种方式，否则推荐第二种
Pandas
2022-04-29更新
警告内容：
FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
调整方案：
df = df.append(df_table)
# 改为
df = pd.concat([df, df_table])
2022-10-24更新
警告内容：
FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`
调整方案：
df.log[:, ['a', 'b']] = [1, 2]
# 改为
df[['a', 'b']] = [1, 2]
2023-05-30更新
警告内容：
FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`
调整方案：
df.loc[:, df.columns != 'B'] = df.loc[:, df.columns != 'B'].fillna('')
# 改为
cols_to_fill = df.select_dtypes(include=[np.number]).columns.difference(['B'])
df[cols_to_fill] = df[cols_to_fill].fillna('')
Flask
2022-08-18更新
警告内容：
/app/swagger_server/app.py:37: DeprecationWarning: 'app.json_encoder' is deprecated and will be removed in Flask 2.3. Customize 'app.json_provider_class' or 'app.json' instead.
调整方案：
待补充…
Jupyter
2023-03-28更新
之前jupyerhub集成jupyterlab需要安装插件jupyterlab/hub-extension，但jupyter labextension install安装插件的方式已经弃用且该插件也已经弃用
>>> jupyter labextension install @jupyterlab/hub-extension
(Deprecated) Installing extensions with the jupyter labextension install command is now deprecated and will be removed in a future major version of JupyterLab.
调整方案：
修改jupterhub配置文件即可换成jupyterlab界面
>>> vim /etc/jupyterhub/jupyterhub_config.py
# - You can set `notebook_dir` to `/` and `default_url` to `/tree/home/{username}` to allow people to
# navigate the whole filesystem from their notebook server, but still start in their home directory.
# - Start with `/notebooks` instead of `/tree` if `default_url` points to a notebook instead of a directory.
# - You can set this to `/lab` to have JupyterLab start by default, rather than Jupyter Notebook.
# Default: ''
c.Spawner.default_url = '/lab'