我习惯在Django和gunicorn上开发Web应用程序.

对于Django,Django应用程序中的任何应用程序模块都可以通过django.conf.settings获取部署设置."settings.py"是用Python编写的,因此可以动态定义任意设置和预处理.

在gunicorn的情况下,它按优先顺序有三个配置位置,并且一个设置注册表类实例组合这些.(但通常这些设置仅用于gunicorn而不是应用程序.)

1. 命令行参数.
2. 配置文件.(像Django一样,用Python编写,可以动态地设置任意设置.)
3. 贴纸应用程序设置.

对于Pyramid,根据Pyramid文档,部署设置通常可以放入pyramid.registry.Registry().settings中.但它似乎仅在存在pyramid.router.Router()实例时才被访问.那就是pyramid.threadlocal.get_current_registry().settings在应用程序"main.py"的启动过程中返回None.

例如,我通常在SQLAlchemy模型模块中定义一些业务逻辑,这需要部署设置如下.

myapp/models.py

from sqlalchemy import Table, Column, Types
from sqlalchemy.orm import mapper
from pyramid.threadlocal import get_current_registry
from myapp.db import session, metadata

settings = get_current_registry().settings

mytable = Table('mytable', metadata,
    Column('id', Types.INTEGER, primary_key=True,)
    (other columns)...
)

class MyModel(object):
    query = session.query_property()
    external_api_endpoint = settings['external_api_uri']
    timezone = settings['timezone']

    def get_api_result(self):
        (interact with external api ...)

mapper(MyModel, mytable)

但是,"settings ['external_api_endpoint']"会引发TypeError异常,因为"settings"为None.

我想了两个解决方案.

• 定义一个callable,它接受"models.py"中的"config"参数,"main.py"使用Configurator()实例调用它.

  myapp/models.py

  from sqlalchemy import Table, …

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我想将ed25519私钥(由ssh-keygen命令生成)转换为ppk文件.但我得到了错误.

无法加载私钥(无法识别的密码名称)

有人能帮我吗？

• 测试openssh版本:OpenSSH_7.6p1, OpenSSL 1.1.0g 2 Nov 2017和OpenSSH_7.6p1, OpenSSL 1.0.2n 7 Dec 2017(在CoreOS和ArchLinux docker容器上)

• 测试腻子版本:0.70 64bit,0.70 32bit和snapshot(在Windows 10)

我的程序如下.

1.生成ed25519私钥

# ssh-keygen -t ed25519 -a 100
Generating public/private ed25519 key pair.
Enter file in which to save the key (/root/.ssh/id_ed25519):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /root/.ssh/id_ed25519.
Your public key has been saved in /root/.ssh/id_ed25519.pub.
The key …

我正在尝试ALS通过TrainValidationSplit.

它运作良好，但我想知道哪种超参数组合是最好的。评估后如何获得最佳参数？

from pyspark.ml.recommendation import ALS
from pyspark.ml.tuning import TrainValidationSplit, ParamGridBuilder
from pyspark.ml.evaluation import RegressionEvaluator

df = sqlCtx.createDataFrame(
    [(0, 0, 4.0), (0, 1, 2.0), (1, 1, 3.0), (1, 2, 4.0), (2, 1, 1.0), (2, 2, 5.0)],
    ["user", "item", "rating"],
)

df_test = sqlCtx.createDataFrame(
    [(0, 0), (0, 1), (1, 1), (1, 2), (2, 1), (2, 2)],
    ["user", "item"],
)

als = ALS()

param_grid = ParamGridBuilder().addGrid(
    als.rank,
    [10, 15],
).addGrid(
    als.maxIter,
    [10, 15],
).build()

evaluator = RegressionEvaluator(
    metricName="rmse", …

在JanusGraph中,我想获得一些Date属性的min().

由于min()和max()都只支持Numbertype,我使用map{it.get().getTime()}.但奇怪的结果.

怎么做 ？

• JanusGraph版本:github master(大约2周前建立)
• Gremlin版本:3.2.6

架构定义

gremlin> mgmt = graph.openManagement()
==>org.janusgraph.graphdb.database.management.ManagementSystem@496a8a94

gremlin> person = mgmt.makeVertexLabel('Person').make()
==>Person

gremlin> t_created = mgmt.makePropertyKey('t_created').dataType(Date.class).cardinality(SINGLE).make()
==>t_created

gremlin> t_modified = mgmt.makePropertyKey('t_modified').dataType(Date.class).cardinality(SINGLE).make()
==>t_modified

gremlin> mgmt.buildIndex('i_t_created', Vertex.class).addKey(t_created).buildMixedIndex('search')
==>i_t_created

gremlin> mgmt.buildIndex('i_t_modified', Vertex.class).addKey(t_modified).buildMixedIndex('search')
==>i_t_modified

gremlin> mgmt.commit()
==>null

我的gremlin控制台代码

gremlin> person = g.addV('Person').property('t_created', new Date()).property('t_modified', new Date()).next()
==>v[16488]

gremlin> g.tx().commit()
==>null

gremlin> g.V(person).properties()
==>vp[t_created->Tue Sep 05 07:40:16 ]
==>vp[t_modified->Tue Sep 05 07:40:16 ]

gremlin> g.V(person).values('t_created', 't_modified')
==>Tue Sep 05 07:40:16 UTC 2017
==>Tue …