216. Method Chaining with Self-Returning Methods

🔹 1. Basic Method Chaining

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class User:
    def __init__(self, name):
        self.name = name
        self.email = None

    def set_email(self, email):
        self.email = email
        return self  # Returning self enables chaining

    def display(self):
        print(f"User: {self.name}, Email: {self.email}")
        return self  # Returning self allows further chaining

user = User("Alice").set_email("[e-mail]").display()

🔍 Key Takeaway:

• Each method returns self, allowing multiple calls in one line.

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🔹 2. Chaining Methods for a Fluent API

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class FluentMath:
    def __init__(self, value=0):
        self.value = value

    def add(self, x):
        self.value += x
        return self

    def subtract(self, x):
        self.value -= x
        return self

    def multiply(self, x):
        self.value *= x
        return self

    def result(self):
        print(f"Result: {self.value}")
        return self

math = FluentMath().add(10).subtract(3).multiply(2).result()

🔍 Key Takeaway:

• This pattern is common in mathematical operations or data transformations.

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🔹 3. Using Method Chaining in a Configuration Builder

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class Config:
    def __init__(self):
        self.settings = {}

    def set(self, key, value):
        self.settings[key] = value
        return self

    def show(self):
        print(self.settings)
        return self

config = Config().set("debug", True).set("theme", "dark").show()

🔍 Key Takeaway:

• Used for builder patterns, where configuration is set dynamically.

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🔹 4. Method Chaining for String Processing

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class StringProcessor:
    def __init__(self, text):
        self.text = text

    def to_upper(self):
        self.text = self.text.upper()
        return self

    def replace(self, old, new):
        self.text = self.text.replace(old, new)
        return self

    def show(self):
        print(self.text)
        return self

processor = StringProcessor("hello world").to_upper().replace("WORLD", "Python").show()

🔍 Key Takeaway:

• Useful in text processing, making transformations clearer.

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🔹 5. Chaining for Logging System

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class Logger:
    def __init__(self):
        self.logs = []

    def log(self, message):
        self.logs.append(message)
        return self

    def show(self):
        print("\n".join(self.logs))
        return self

Logger().log("Starting program").log("Processing data").log("Finished execution").show()

🔍 Key Takeaway:

• Logging chains make debugging simpler and cleaner.

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🔹 6. Method Chaining for HTTP Requests (Mock Example)

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class Request:
    def __init__(self):
        self.url = None
        self.method = "GET"
        self.headers = {}

    def set_url(self, url):
        self.url = url
        return self

    def set_method(self, method):
        self.method = method
        return self

    def add_header(self, key, value):
        self.headers[key] = value
        return self

    def send(self):
        print(f"Sending {self.method} request to {self.url} with headers {self.headers}")
        return self

Request().set_url("https://api.example.com").set_method("POST").add_header("Auth", "Bearer token").send()

🔍 Key Takeaway:

• Mimics real-world APIs like Requests, improving readability.

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🔹 7. Chaining in File Operations

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class FileHandler:
    def __init__(self, filename):
        self.filename = filename
        self.content = ""

    def write(self, text):
        self.content += text + "\n"
        return self

    def save(self):
        with open(self.filename, "w") as f:
            f.write(self.content)
        return self

FileHandler("sample.txt").write("Hello").write("World!").save()

🔍 Key Takeaway:

• Fluent API for file handling can simplify file writing.

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🔹 8. Using Method Chaining in a Fluent Query Builder

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class QueryBuilder:
    def __init__(self):
        self.query = "SELECT * FROM table"

    def where(self, condition):
        self.query += f" WHERE {condition}"
        return self

    def order_by(self, column):
        self.query += f" ORDER BY {column}"
        return self

    def execute(self):
        print(f"Executing: {self.query}")
        return self

query = QueryBuilder().where("age > 18").order_by("name").execute()

🔍 Key Takeaway:

• Chained SQL queries improve readability.

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🔹 9. Chaining in Data Pipelines

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class DataPipeline:
    def __init__(self, data):
        self.data = data

    def filter(self, condition):
        self.data = [x for x in self.data if condition(x)]
        return self

    def sort(self):
        self.data.sort()
        return self

    def display(self):
        print(self.data)
        return self

DataPipeline([5, 3, 8, 1, 2]).filter(lambda x: x > 2).sort().display()

🔍 Key Takeaway:

• Useful for data transformations.

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🔹 10. Chaining with Decorators

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class Profile:
    def __init__(self, name):
        self.name = name
        self.bio = ""

    def set_bio(self, bio):
        self.bio = bio
        return self

    def show(self):
        print(f"Profile: {self.name}, Bio: {self.bio}")
        return self

@staticmethod
def create(name):
    return Profile(name)

Profile.create("John").set_bio("Software Engineer").show()

🔍 Key Takeaway:

• Combining method chaining with decorators for user-friendly creation.

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🚀 Summary: When to Use Method Chaining?

Use Case

Example

Configuration Builders

Config().set("key", "value").set("debug", True).show()

Data Processing Pipelines

DataPipeline(data).filter(condition).sort().display()

String Transformations

StringProcessor("text").to_upper().replace("old", "new").show()

Logging Systems

Logger().log("Step 1").log("Step 2").show()

SQL Query Builders

QueryBuilder().where("id=1").order_by("name").execute()

HTTP Requests

Request().set_url("api.com").set_method("POST").send()