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Why write configuration files
In the development process , We often use some fixed parameters or constants . For these more fixed and commonly used parts , It is often written to a fixed file , Avoid repetition in different module code to keep the core code clean .
This fixed file can be written directly into a .py
file , for example settings.py
or config.py
, The advantage of this is that it can directly pass through under the same project import
To import parts of it ; But if we need to be in other Not Python The platform of When sharing configuration files , Write it as a single .py
It's not a good choice .
In this case, we should choose the general configuration file type to store these fixed parts . At present, the commonly used and popular configuration file format types are mainly ini
、 json
、 toml
、 yaml
、 xml
etc. , These types of configuration files can be parsed through standard library or third-party library .
ini
namely Initialize Initialization means , Early on Windows The storage format of the configuration file on the . ini
The writing of the document is easy to understand , It's often simpler , Usually by the section (Section)、 key (key) And the value (value) form , It's like this :
[localdb]host = 127.0.0.1user = rootpassword = 123456port = 3306database = mysql
Python Built in configparser
Standard library , We can directly use it on ini
File parsing . If we save the above content in a name called db.ini
In the file of , And then use read()
Method to parse and read , Finally through items()
Method to get all the key value pairs under the specified node .
>>> from configparser import ConfigParser>>> cfg = ConfigParser()>>> cfg.read("/Users/Bobot/db.ini")['/Users/Bobot/db.ini']>>> cfg.items("localdb")[('host', '127.0.0.1'), ('user', 'root'), ('password', '123456'), ('port', '3306'), ('database', 'mysql')]
It should be noted that , configparser
The default value will be In the form of strings present , So that's why we're in db.ini
There are no quotation marks in the document, but the reason why the literal quantity is written directly on it .
After getting the key value pair , I actually converted it into a dictionary , And then through unpacking the way to wear reference , Keep the code simple :
#!pip install pymysqlimport pymysqlfrom configparser import ConfigParsercfg = ConfigParser()cfg.read("/Users/Bobot/db.ini")db_cfg = dict(cfg.items("localdb"))con = pymysql.connect(**db_cfg)
json
Format can be said to be a common form of documents , It is also a popular data exchange format on the Internet . besides , json
Sometimes it's a configuration file .
such as npm
(JavaScript Package management tools are similar to Python Of pip
)、 And Microsoft's widely used VSCode Editor , All use json
Write configuration parameters .
and configparser
equally ,Python Also built in json
Standard library , Can pass load()
and loads()
Method to import files and strings json
Content .
{ "localdb":{ "host": "127.0.0.1", "user": "root", "password": "123456", "port": 3306, "database": "mysql" }}
We save the above as db.json
After reading and parsing , json
Library to read json The file is relatively simple and easy , And it's easy to parse into Python The dictionary object of .
>>> import json>>> from pprint import pprint>>> >>> with open('/Users/Bobot/db.json') as j:... cfg = json.load(j)['localdb']... >>> pprint(cfg){'database': 'mysql', 'host': '127.0.0.1', 'password': '123456', 'port': 3306, 'user': 'root'}
Use json
The disadvantage of file configuration is that syntax standards are strictly limited , One of the criticisms is You can't write notes in it , Unless you take json
Other types of Superset As an alternative (VSCode You can write notes in json
The parameter configuration file is one of the alternatives ); At the same time Nesting too deep The problem of , It's easy to make mistakes , It should not be used to write too long or complex parameter configuration information .
toml
Format ( or tml
Format ) yes Github cofounder Tom Preston-Werner A configuration file format is proposed . According to Wikipedia , toml
It was first put forward in 2013 year 7 month , Seven years ago ; It's also in some ways related to what we're going to talk about later yaml
The document is somewhat similar to , But if you know yaml There are dozens of pages in the specification of ( No mistake. , It's really dozens of pages ……) When , Maybe you really don't want to write such a complicated configuration file , toml
The format is a good choice .toml
The format is roughly as follows :
01-toml style You can see it here toml
It's kind of similar to what I said before ini
file . But it's better than ini
Expanded more content .
In the sample image, we can see , In addition to the basic string , For example, time stamp 、 Boolean value 、 Arrays and so on are further supported , And the style and Python The original way of writing is very similar .
Of course, there won't be too much introduction here toml
Some specifications of the format , Someone has translated the official specification document , Interested friends can check directly .
It's a good fit Python The configuration file type has been created by developers 「 wheel 」, Currently in Github On Stars The largest number is uiri/toml
Version of , But the version only passed v0.5 edition toml
standard , But it is very simple in use , We can go through pip
Command to install
pip install toml
The parsing of this library is very simple , It's a little bit like json
The analytic usage of the library , That is, through load()
or loads()
To parse ; In the same way, the same is true of conversion and export .
For example, we now write the following into config.toml
in :
[mysql]host = "127.0.0.1"user = "root"port = 3306database = "test" [mysql.parameters] pool_size = 5 charset = "utf8" [mysql.fields] pandas_cols = [ "id", "name", "age", "date"]
And then we can go through toml
In the library load()
Method to read :
>>> import toml>>> import os>>> from pprint import pprint>>> cfg = toml.load(os.path.expanduser("~/Desktop/config.toml"))>>> pprint(cfg){'mysql': {'database': 'test', 'fields': {'pandas_cols': ['id', 'name', 'age', 'date']}, 'host': '127.0.0.1', 'parameters': {'charset': 'utf8', 'pool_size': 5}, 'port': 3306, 'user': 'root'}}
You can see toml
Files are indirectly converted to dictionary types , Of course, this is also json
How to write the version ( Replace single quotation marks with double quotation marks ), It is convenient for us to call or pass parameters later .
yaml
Format ( or yml
Format ) It is a popular configuration file at present , It was as early as 2001 By a person named Clark Evans The people who put forward ; At the same time, it is also a widely used configuration file type , Typical is Docker In the container docker-compose.yml
The configuration file , If you use Docker It's no stranger to those who deploy .yaml
The design of the document is from Python、XML And other places to get inspiration , So you can see the shadow of these parts clearly when you use it .
In the last section toml
I mentioned in the content that , yaml
The content of the specification can be said to be lengthy and complex , A good 80 There are so many pages ( Fight the strong , Terror is like this ……).
02-yaml Standard number of pages So interested friends can learn the relevant usage by themselves .
YAML Officials have already provided the corresponding Python Library to support , namely PyYAML
; Of course, we also need to install it in advance :
pip install pyyaml
Same as json
Kuhe toml
Like the library , adopt load()
Method to load .
It should be noted that , Use load()
Method There will be certain security risks , From Cisco Talos In this report, we can see that , If unknown or untrusted yaml
file , Then there may be the risk of being attacked and network security risks , Because it can directly call the corresponding Python Function to execute the command needed by the attacker , For example, in yaml
Write this paragraph in the file :
# Use Linux and macOS Don't try it easily !!python/object/apply:os.system ["rm -rf /"]
So it's better to use safe_load()
Instead of load()
Method .
This sum Python Built in string
Standard library Template
Class substitute()
Template method has the same security risks , So use safe_substitute()
It's the same thing to replace .
For example, we will now write some of the previous configuration information to config.yaml
In file :
mysql: host: "127.0.0.1" port: 3306 user: "root" password: "123456" database: "test" parameter: pool_size: 5 charset: "utf8" fields: pandas_cols: - id - name - age - date
And then we passed safe_load()
Method :
>>> import os>>> from pprint import pprint>>> >>> with open(os.path.expanduser("~/config.yaml"), "r") as config:... cfg = yaml.safe_load(config)... >>> pprint(cfg){'mysql': {'database': 'test', 'fields': {'pandas_cols': ['id', 'name', 'age', 'date']}, 'host': '127.0.0.1', 'parameter': {'charset': 'utf8', 'pool_size': 5}, 'password': '123456', 'port': 3306, 'user': 'root'}}
You can see the final result and the preceding toml
The analysis results of the library are basically consistent .
This article lists some mainstream and common configuration file types and their Python The reading method of , Some readers may find that there is no xml
Format type content . about xml
The configuration file may be associated with Java Friends who deal with language will meet more , but xml
The readability of the document is really daunting ; Yes xml
Friends who don't know the file can use Chrome The browser randomly enters a website and presses F12 After entering the developer, check out the dense html The element is .xml
The epitome of .
In addition to these mainstream profile types , Like some .cfg
、 .properties
Can be used as a configuration file , Even as mentioned at the beginning , You use one alone .py
File to write all kinds of configuration information as a configuration file to import is no problem , It's just that there may be barriers to cross language sharing . Therefore, this article only introduces , Interested friends can learn more about .
The complexity of the configuration file types listed in this article increases from top to bottom : ini < json ≈ toml < yaml
, There are advantages and disadvantages between them , You can choose according to your actual needs and team cooperation requirements .
source : The Internet
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