mongoforge-odm 0.1.1

A Django-inspired MongoDB ODM for Python

🔧 MongoForge

A Django-inspired MongoDB ODM for Python — define document schemas as classes with typed fields, validate data automatically, and perform CRUD operations through a clean manager API.

Built on PyMongo.

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✨ Features

• Declarative schemas — define documents as Python classes with typed fields
• 10 built-in field types — StringField, IntField, FloatField, BoolField, ListField, DateTimeField, DictField, ObjectIdField, EmbeddedField + extensible BaseField
• Rich validation — required, min/max length, min/max value, regex, choices, custom validators
• Metaclass magic — automatic field collection, inheritance, collection naming
• Manager API — create, bulk_create, all, first, get, filter, count, update, update_one, update_many, delete_one, delete_many
• Django-style filter operators — age__gte=18, name__in=[...], status__ne="inactive" (supports: gt, gte, lt, lte, ne, in, nin)
• Auto timestamps — DateTimeField(auto_now=True) and auto_now_add=True
• Attribute access — user.name instead of user["name"]
• Serialization — to_mongo() and from_mongo() for round-trip conversion
• Abstract models & inheritance — share fields across model hierarchies

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📦 Installation

# Clone the repository
git clone https://github.com/Sourabh7singh/MongoForge
cd MongoForge

# Create and activate a virtual environment
python -m venv env
env\Scripts\activate      # Windows
# source env/bin/activate # macOS/Linux

# Install dependencies
pip install pymongo python-dotenv python-slugify

# For running tests (no live MongoDB needed)
pip install pytest mongomock

Environment Setup

Create a .env file in the project root:

MONGO_URI=mongodb://localhost:27017/
DATABASE_NAME=mongoforge

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🚀 Quick Start

Define a Model

from mongoforge import MongoForge
from mongoforge.fields import StringField, IntField, BoolField, DateTimeField, ListField

class User(MongoForge):
    name     = StringField(required=True, min_length=2, max_length=100)
    email    = StringField(required=True, regex=r"^[\w.+-]+@[\w-]+\.[\w.-]+$")
    age      = IntField(min_value=0, max_value=150)
    is_admin = BoolField(default=False)
    tags     = ListField(StringField())
    created  = DateTimeField(auto_now_add=True)
    updated  = DateTimeField(auto_now=True)

    class Meta:
        collection = "users"

Create & Validate

user = User(name="Saurabh", email="[e-mail]", age=25)

# Validate before saving
user.validate()  # raises ValidationError if invalid

# Serialize to MongoDB document
doc = user.to_mongo()

# Insert into database
User.objects.create(doc)

Query

# Get all documents
User.objects.all()                        # → list[dict]

# Filter with operators
User.objects.filter(age__gte=18)          # age >= 18
User.objects.filter(name__in=["Alice", "Bob"])

# Get single document
User.objects.get({"email": "[e-mail]"})

# Count
User.objects.count()

Update & Delete

# Update by ID
User.objects.update(id="...", update_data={"name": "Updated Name"})

# Update many
User.objects.update_many({"age": {"$gte": 30}}, {"is_admin": True})

# Delete
User.objects.delete_one({"name": "Alice"})
User.objects.delete_many({"age": {"$lt": 18}})

Validation in Action

from mongoforge.exceptions import ValidationError

user = User(name="A", email="not-an-email", age=-5)
try:
    user.validate()
except ValidationError as exc:
    print(exc)
    # Validation failed. name: Minimum length is 2; email: Value does not match regex ...; age: Minimum value is 0
    print(exc.errors)
    # {'name': ['Minimum length is 2'], 'email': ['Value does not match regex ...'], 'age': ['Minimum value is 0']}

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📋 Field Types

Field	Python Type	Extra Options
StringField	str	min_length, max_length, regex
IntField	int	min_value, max_value
FloatField	float	—
BoolField	bool	—
ListField	list	field (inner field for item validation)
DateTimeField	datetime	auto_now, auto_now_add
DictField	dict	—
ObjectIdField	ObjectId	Auto-generates if None
EmbeddedField	dict	document_class (stub — Phase 4)

Common options (all fields): required, default, unique, choices, validators, null

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🏗️ Architecture

Model Class  →  MongoForgeMeta (metaclass)  →  collects fields + attaches MongoManager
                                                          │
                    ┌─────────────────────────────────────┘
                    ▼
              MongoManager (cls.objects)
              ├── CreateMixin   →  create(), bulk_create()
              ├── ReadMixin     →  all(), first(), get(), filter(), count()
              ├── UpdateMixin   →  update(), update_one(), update_many()
              └── DeleteMixin   →  delete_one(), delete_many()

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🧪 Running Tests

Tests use mongomock — no live MongoDB required.

# With venv activated
python -m pytest mongoforge/tests/ -v

# Or using venv python directly
env\Scripts\python.exe -m pytest mongoforge/tests/ -v

148 tests covering:

• All 10 field types + validation paths
• Model instances, attribute access, serialization
• Metaclass, inheritance, abstract models
• Full CRUD operations + filter operators
• Exception hierarchy + formatting

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🗺️ Roadmap

Phase	Description	Status
Phase 1	Fields & Schema	✅ ~95%
Phase 2	QuerySet (chainable queries)	⬜ Not started
Phase 3	Model Lifecycle (save(), delete(), reload(), dirty tracking)	🔶 ~50%
Phase 4	Relationships (EmbeddedDocument, ReferenceField)	⬜ Not started
Phase 5	Indexes, Middleware & CLI	⬜ Not started
Phase 6	Packaging & Developer Experience	🔶 ~30%

See implementation_plan.md for the full roadmap with target APIs.