search
HomeBackend DevelopmentPython TutorialPython Web框架Pylons中使用MongoDB的例子

Pylons 经过漫长的开发,终于放出了 1.0 版本。对于正规的产品开发来说,1.0 版本的意义很大,这表明 Pylons 的 API 终于稳定下来了。

Pylons 虽是山寨 Rails 而生,但作为一个纯 Python 的 Web 框架,它有一个鲜明的特点:可定制性强。框架每一层都没重新发明轮子,而是尽量整合现有的 Python 库。在 MVC 的 Model 层,Pylons 默认支持 SQLAlchemy。现在 NoSQL 很火 MongoDB 很热。在 Pylons 中应用 MongoDB 也很简单。下面是一个简单的示例。

在 PROJECT/model/__init__.py 中定义 MongoDB 初始化函数和映射对象:

复制代码 代码如下:

from ming import Session

from ming import schema
from ming.orm import MappedClass
from ming.orm import FieldProperty, ForeignIdProperty, RelationProperty
from ming.orm import ThreadLocalORMSession

session = None

def init_single_model(model_class):
    model_class.__mongometa__.session = session

class Page(MappedClass):
    class __mongometa__:
        session = session
        name = 'pages'

    _id = FieldProperty(schema.ObjectId)
    title = FieldProperty(str)
    content = FieldProperty(str)

def init_model(engine):
    global session
    session = ThreadLocalORMSession(doc_session=Session(engine))
    init_single_model(Page)
    MappedClass.compile_all()

在 PROJECT/config/environment.py 中进行初始化:

复制代码 代码如下:

from ..model import init_model
from ming.datastore import DataStore

def load_environment(global_conf, app_conf):

    ...

    # Create the Mako TemplateLookup, with the default auto-escaping
    config['pylons.app_globals'].mako_lookup = TemplateLookup(
        directories=paths['templates'],
        error_handler=handle_mako_error,
        module_directory=os.path.join(app_conf['cache_dir'], 'templates'),
        input_encoding='utf-8', default_filters=['escape'],
        imports=['from webhelpers.html import escape'])

    # Setup the mongodb database engine
    init_model(DataStore(config['database.uri']))

    # CONFIGURATION OPTIONS HERE (note: all config options will override
    # any Pylons config options)

    return config

最后在 development.ini 中加入 MongoDB 的配置项:

复制代码 代码如下:

[app:main]
database.uri = mongodb://localhost:27017/test

如果需要在程序安装时初始化一些数据, 可以在 PROJECT/websetup.py 中加入

复制代码 代码如下:

"""Setup the wukong application"""
import logging

import pylons.test

from .config.environment import load_environment
from . import model

log = logging.getLogger(__name__)

def setup_app(command, conf, vars):
    """Place any commands to setup wukong here"""
    # Don't reload the app if it was loaded under the testing environment
    if not pylons.test.pylonsapp:
        load_environment(conf.global_conf, conf.local_conf)

        log.info("Adding demo data.")
        page = model.Page(title='demo', content='This is for demo.')
        model.session.flush()
        log.info("Successfully set up.")

这里使用了 Ming 库来连接 MongoDB 并做简单的 ORM。Ming 库是对 PyMongo 的 ORM 包装库。它是 SourceForge 用 TurboGears 和 MongoDB 对网站进行重构的副产物。使用起来有点象 SQLAlchemy ORM 。在上面的示例中,也可以把 Ming 替换成 MongoKit 或其它 MongoDB 的 ORM 库,甚至直接用 PyMongo 也无不可。
有种感觉,MongoDB 会火。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

Learn the Differences Between Python's 'for' and 'while' LoopsLearn the Differences Between Python's 'for' and 'while' LoopsMay 08, 2025 am 12:11 AM

ThekeydifferencesbetweenPython's"for"and"while"loopsare:1)"For"loopsareidealforiteratingoversequencesorknowniterations,while2)"while"loopsarebetterforcontinuinguntilaconditionismetwithoutpredefinediterations.Un

Python concatenate lists with duplicatesPython concatenate lists with duplicatesMay 08, 2025 am 12:09 AM

In Python, you can connect lists and manage duplicate elements through a variety of methods: 1) Use operators or extend() to retain all duplicate elements; 2) Convert to sets and then return to lists to remove all duplicate elements, but the original order will be lost; 3) Use loops or list comprehensions to combine sets to remove duplicate elements and maintain the original order.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version