Diq: A Pythonic Object Serializer

Diq is a lightweight and flexible Python library that enables easy serialization of class instances into dictionaries. It supports renaming fields dynamically, custom serialization logic, and automatic attribute extraction.

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✨ Features

• 🔹 Convert class instances into dictionaries with dictify()
• 🔹 Rename attributes dynamically using field->new_name
• 🔹 Custom serialization via _dictify_{field}() methods
• 🔹 Automatic attribute detection (no need to list fields manually)
• 🔹 Lightweight and dependency-free

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📦 Installation

pip install diq

🚀 Quick Start

1️⃣ Basic Usage

from diq import Dictify

class User(Dictify):
    def __init__(self, username, email):
        self.username = username
        self.email = email

user = User("john_doe", "john@example.com")
print(user.dictify())  # {'username': 'john_doe', 'email': 'john@example.com'}

2️⃣ Select Specific Fields

print(user.dictify("username"))  
# {'username': 'john_doe'}

3️⃣ Rename Fields

print(user.dictify("username->user", "email->contact"))
# {'user': 'john_doe', 'contact': 'john@example.com'}

4️⃣ Custom Serialization for Specific Fields

from datetime import datetime

from diq import Dictify

class User(Dictify):
    def __init__(self, username, created_at):
        self.username = username
        self.created_at = created_at

    def _dictify_created_at(self):
        return self.created_at.strftime('%Y-%m-%d')

user = User("john_doe", datetime(2025, 3, 15))
print(user.dictify())  
# {'username': 'john_doe', 'created_at': '2025-03-15'}

📝 License

Diq is released under the MIT License.

🤝 Contributing

Contributions are welcome! Feel free to submit issues or pull requests.

📮 Contact

• GitHub: https://github.com/Jyonn/diq
• PyPI: https://pypi.org/project/diq