### Install Django MongoDB Backend

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/install

Installs the 'django-mongodb-backend' package and its required dependencies, including PyMongo and Django, using pip within an activated virtual environment.

```bash
pip install django-mongodb-backend
```

--------------------------------

### Create and Activate Virtual Environment (macOS/Linux)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/install

Creates a Python virtual environment named 'venv' and activates it. This isolates project dependencies. Replace 'python' if a different interpreter is needed.

```bash
python -m venv venv
source venv/bin/activate
```

--------------------------------

### Start Django Development Server

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/connect-mongodb

Runs the Django development server to verify the project setup and MongoDB connection. Access the running application via `http://127.0.0.1:8000/`.

```bash
python manage.py runserver
```

--------------------------------

### Create and Activate Virtual Environment (Windows)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/install

Creates a Python virtual environment named 'venv' and activates it on Windows. This isolates project dependencies. Replace 'python' if a different interpreter is needed.

```bash
python -m venv venv
. venv\Scripts\activate
```

--------------------------------

### Start Django Development Server

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-admin

This command starts the Django development server, making your application accessible via a web browser. It's typically used for development and testing purposes. Once running, you can access your application at the specified local URL.

```bash
python manage.py runserver

```

--------------------------------

### Create Django Project with MongoDB Template

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/connect-mongodb

Creates a new Django project named 'quickstart' using a custom template that includes MongoDB-specific configurations for migrations and primary keys.

```bash
django-admin startproject quickstart --template https://github.com/mongodb-labs/django-mongodb-project/archive/refs/heads/5.1.x.zip
```

--------------------------------

### Start Python Shell for Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/write-data

This command starts the Python interactive shell within your Django project environment, allowing you to execute Python code that interacts with your Django models and database.

```bash
python manage.py shell
```

--------------------------------

### Start Transaction as Context Manager - Django MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/transactions

Starts a database transaction using the `transaction.atomic()` context manager in Django MongoDB Backend. This creates an atomic block where all database operations are guaranteed to be performed as a single unit. Changes are committed upon successful exit from the `with` block or rolled back on exception.

```python
from django_mongodb_backend import transaction

def insert_movie_transaction():
    with transaction.atomic():
        Movie.objects.create(
            title="Poor Things",
            runtime=141,
            genres=["Comedy", "Romance"]
        )

```

--------------------------------

### Import Models and Modules for Django MongoDB Shell

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Imports necessary models (`Movie`, `Award`) and modules (`timezone`, `datetime`) for interacting with MongoDB data through the Django shell. This setup is required before running query examples.

```python
from <your application name>.models import Movie, Award
from django.utils import timezone
from datetime import datetime
```

--------------------------------

### Configure App URLs

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

Defines URL patterns for the 'sample_mflix' Django app, mapping specific URL paths to the corresponding views. This includes URLs for displaying recent movies, listing viewers, and the application's root index.

```python
from django.urls import path

from . import views

urlpatterns = [
    path("recent_movies/", views.recent_movies, name="recent_movies"),
    path("viewers_list/", views.viewers_list, name="viewers_list"),
    path("", views.index, name="index"),
]
```

--------------------------------

### Include App in Django Project Settings

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

This Python code snippet shows how to add the 'sample_mflix' application to your Django project's `INSTALLED_APPS` setting in `settings.py`. This step is crucial for Django to recognize and utilize the application's models, views, and templates.

```python
INSTALLED_APPS = [
    'sample_mflix.apps.SampleMflixConfig',
    'quickstart.apps.MongoAdminConfig',
    'quickstart.apps.MongoAuthConfig',
    'quickstart.apps.MongoContentTypesConfig',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
]
```

--------------------------------

### Create Django App with MongoDB Template

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

This command creates a new Django application named 'sample_mflix' using a custom template from a specified GitHub URL. This template is pre-configured to work with MongoDB, ensuring necessary settings like 'default_auto_field' are included.

```bash
python manage.py startapp sample_mflix --template https://github.com/mongodb-labs/django-mongodb-app/archive/refs/heads/5.1.x.zip
```

--------------------------------

### Create and Apply Django Database Migrations

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

These bash commands are used to generate database migration files for the 'sample_mflix' app and then apply those migrations to the database. This process ensures that your database schema reflects the changes made to your Django models, such as the addition of 'Movie', 'Award', and 'Viewer' models.

```bash
python manage.py makemigrations sample_mflix
python manage.py migrate
```

--------------------------------

### Start Transaction as Decorator - Django MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/transactions

Starts a database transaction using the `@transaction.atomic` decorator in Django MongoDB Backend. This ensures that all database operations within the decorated function are atomic. If the function completes successfully, changes are committed; otherwise, they are rolled back.

```python
from django_mongodb_backend import transaction

@transaction.atomic
def insert_movie_transaction():
    Movie.objects.create(
        title="Poor Things",
        runtime=141,
        genres=["Comedy", "Romance"]
    )

```

--------------------------------

### Import Models and Utilities for Django MongoDB Shell

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/raw-queries

Imports necessary models (`Movie`, `Theater`) and utilities (`timezone`, `datetime`) for interacting with MongoDB from the Django Python interactive shell. These imports are required before running any code examples.

```python
from <your application name>.models import Movie, Theater
from django.utils import timezone
from datetime import datetime
```

--------------------------------

### Retrieve One Document in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Retrieves a single document from a MongoDB collection using the `get()` method in Django. This method requires a query filter and raises an error if zero or multiple documents match. The `first()` method can be used to safely retrieve one document from a potentially larger result set. The example retrieves a movie by its title.

```python
Movie.objects.get(title="Finding Nemo")
```

--------------------------------

### Django Views for Displaying Data

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

Implements Django views to handle HTTP requests and render data from the defined MongoDB models. Includes a basic index view, a view to display recent movies, and a view to list viewers, rendering data to specified HTML templates.

```python
from django.http import HttpResponse
from django.shortcuts import render

from .models import Movie, Viewer

def index(request):
    return HttpResponse("Hello, world. You're at the application index.")

def recent_movies(request):
    movies = Movie.objects.order_by("-released")[:5]
    return render(request, "recent_movies.html", {"movies": movies})

def viewers_list(request):
    viewers = Viewer.objects.order_by("name")[:10]
    return render(request, "viewers_list.html", {"viewers": viewers})
```

--------------------------------

### Configure Project URLs to Include App URLs

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

Integrates the 'sample_mflix' app's URLs into the main project's URL configuration. This involves including the app's `urls.py` file under the project's root URL path, allowing access to the app's defined views through the main application.

```python
from django.contrib import admin
from django.urls import include, path

urlpatterns = [
    path("admin/", admin.site.urls),
    path("", include("sample_mflix.urls")),
]
```

--------------------------------

### Create Viewers List HTML Template

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

This HTML template displays an alphabetical list of viewers in a table format. It iterates through a 'viewers' list provided by the Django view, showing each viewer's name and email. If no viewers are found, it displays a 'No viewer found' message spanning both columns.

```html
<!DOCTYPE html>
<html lang="en">
<head>
   <meta charset="UTF-8">
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <title>Viewers List</title>
</head>
<body>
   <h1>Alphabetical Viewers List</h1>
   <table>
      <thead>
            <tr>
               <th>Name</th>
               <th>Email</th>
            </tr>
      </thead>
      <tbody>
            {% for viewer in viewers %}
               <tr>
                  <td>{{ viewer.name }}</td>
                  <td>{{ viewer.email }}</td>
               </tr>
            {% empty %}
               <tr>
                  <td colspan="2">No viewer found.</td>
               </tr>
            {% endfor %}
      </tbody>
   </table>
</body>
</html>
```

--------------------------------

### Insert Viewer Object into MongoDB with Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/write-data

Creates and inserts a new Viewer document into the MongoDB 'users' collection using the Django ORM. This example shows how to add viewer information such as name and email.

```python
viewer = Viewer.objects.create(
    name="Abigail Carter",
    email="abigail.carter@fakegmail.com"
)
```

--------------------------------

### Create Recent Movies HTML Template

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

This HTML template is used to display a list of the five most recent movies. It iterates through a 'movies' list provided by the Django view, formatting each movie's title and release date. If no movies are found, it displays a 'No movies found' message.

```html
<!DOCTYPE html>
<html lang="en">
<head>
   <meta charset="UTF-8">
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <title>Recent Movies</title>
</head>
<body>
   <h1>Five Most Recent Movies</h1>
   <ul>
      {% for movie in movies %}
            <li>
               <strong>{{ movie.title }}</strong> (Released: {{ movie.released }})
            </li>
      {% empty %}
            <li>No movies found.</li>
      {% endfor %}
   </ul>
</body>
</html>
```

--------------------------------

### Create Compound Index in Django Model

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This example shows how to create a compound index on multiple fields ('title' and 'cook_time') within a Django model. The index is defined in the model's Meta class, specifying the fields to be included in the compound index.

```python
class Meta:
    db_table = "recipes"
    indexes = [
        models.Index(fields=["title", "cook_time"]),
    ]
```

--------------------------------

### Create Embedded Document Index in Django Model

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This example demonstrates how to create an index on an embedded document field ('nutrition') in a Django model. This index is useful for queries that specify the entire embedded document.

```python
class Meta:
    db_table = "recipes"
    indexes = [
        models.Index(fields=["nutrition"]),
    ]
```

--------------------------------

### Read First Matching Document with Django and MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/crud

Retrieves the first document that matches the query criteria using Django's filter() followed by first(). This is a safe way to get a single document when multiple matches are possible, avoiding errors from get().

```python
Movie.objects.filter(title="Boyhood").first()
```

--------------------------------

### Run Raw Database Queries in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Enables running complex MongoDB queries not supported by Django's standard query API using the `raw_aggregate()` method. This method allows passing a MongoDB aggregation pipeline as an argument for custom query execution. Refer to the external guide for detailed instructions.

```python
# Example usage would involve defining an aggregation pipeline
# See external documentation for specific syntax and examples.
```

--------------------------------

### Query by Primary Key (ObjectId)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Query a document by its primary key, which is stored as a MongoDB ObjectId. This example retrieves a 'Movie' document using its ObjectId.

```python
from bson import ObjectId

Movie.objects.get(pk=ObjectId("573a1394f29313caabce0d37"))
```

```python
from bson import ObjectId

Movie.objects.get(id=ObjectId("573a1394f29313caabce0d37"))
```

--------------------------------

### Similarity Search with SearchMoreLikeThis in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

The SearchMoreLikeThis expression finds documents that are similar to one or more provided example documents or query criteria. It leverages the MongoDB moreLikeThis operator for relevance scoring.

```python
Movie.objects.annotate(score=SearchMoreLikeThis([  
    {"title": "The Godfather"}, {"genres": ["Crime", "Drama"]}  
]))
```

--------------------------------

### Retrieve Matching Documents in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Queries a MongoDB collection for documents that match specific criteria using the `filter()` method in Django. This method accepts a query filter to specify conditions, returning a QuerySet of matching documents. An example filters for movies with a runtime of 300.

```python
Movie.objects.filter(runtime=300)
```

--------------------------------

### Execute SearchEquals Query (Python)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

Demonstrates how to use the `SearchEquals` expression to find documents where a specific field matches an exact value. This example queries the `movies` collection for documents with the title 'Finding Nemo'. Requires an index with 'token' type on the 'title' field.

```python
Movie.objects.annotate(score=SearchEquals(path="title", value="Finding Nemo"))
```

--------------------------------

### Python Django Comparison Lookup Example

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Illustrates using the 'lte' (less than or equal to) field lookup in Django with MongoDB to filter documents based on a numerical field. This allows for range-based queries. The general syntax is Model.objects.filter(<field name>__<lookup type>=<value>).

```python
Movie.objects.filter(runtime__lte=50)
```

--------------------------------

### Annotate and Filter JSONField with KT Expressions

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Use KT expressions with Django's annotate() method to create new fields based on JSONField data. This example annotates movies with a 'score' based on 'imdb.rating' and then orders them by this score in descending order.

```python
from django.db.models.fields.json import KT

Movie.objects.annotate(score=KT("imdb__rating")).all().order_by("-score")
```

--------------------------------

### Create Unique Single Field Index in Django Model

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This example demonstrates how to create a unique single field index on the 'cuisine' field of a Django model by setting the 'unique=True' option on the model field. This prevents duplicate values in the 'cuisine' field.

```python
cuisine = models.CharField(max_length=200, unique=True)
```

--------------------------------

### Query with Multiple Criteria using Q Objects in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

This Python code snippet demonstrates how to use Q objects to construct complex queries with multiple matching criteria. It filters Movie documents where the title starts with 'Funny' or 'Laugh' and the genres array does not contain 'Comedy'. This method is useful for building dynamic and intricate search conditions.

```python
Movie.objects.filter(
    (Q(title__startswith="Funny") | Q(title__startswith="Laugh"))
    & ~Q(genres__contains=["Comedy"])
)
```

--------------------------------

### Define GeoDjango Models for Geospatial Data

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/geodjango

Define Django models using `django.contrib.gis.db.models` for geospatial fields and `django_mongodb_backend.fields.EmbeddedModelField` for embedded documents. This example shows a `Theater` model with a `Location` embedded model containing a `PointField`.

```python
from django.contrib.gis.db import models
from django_mongodb_backend.models import EmbeddedModel
from django_mongodb_backend.fields import EmbeddedModelField

class Location(EmbeddedModel):
    address = models.JSONField(null=True)
    geo = models.PointField()

class Theater(models.Model):
    theater_id = models.IntegerField(default=0, db_column="theaterId")
    location = EmbeddedModelField(Location, null=True, blank=True)

    class Meta:
        db_table = "theaters"
        managed = False

    def __str__(self):
        return self.theater_id
```

--------------------------------

### Django Models for MongoDB Collections

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-app

Defines Django models for 'movies' and 'users' collections in MongoDB, utilizing django-mongodb-backend for embedded documents and arrays. The Movie model includes an EmbeddedModelField for awards and an ArrayField for genres. Managed = False indicates the models do not create or manage database tables directly.

```python
from django.db import models
from django.conf import settings
from django_mongodb_backend.fields import EmbeddedModelField, ArrayField
from django_mongodb_backend.models import EmbeddedModel

class Award(EmbeddedModel):
    wins = models.IntegerField(default=0)
    nominations = models.IntegerField(default=0)
    text = models.CharField(max_length=100)

class Movie(models.Model):
    title = models.CharField(max_length=200)
    plot = models.TextField(blank=True)
    runtime = models.IntegerField(default=0)
    released = models.DateTimeField("release date", null=True, blank=True)
    awards = EmbeddedModelField(Award, null=True, blank=True)
    genres = ArrayField(models.CharField(max_length=100), null=True, blank=True)

    class Meta:
        db_table = "movies"
        managed = False

    def __str__(self):
        return self.title

class Viewer(models.Model):
    name = models.CharField(max_length=100)
    email = models.CharField(max_length=200)

    class Meta:
        db_table = "users"
        managed = False

    def __str__(self):
        return self.name
```

--------------------------------

### Combine Search Expressions with Bitwise Operators in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

This example shows how to combine Atlas Search expressions using bitwise OR (|) operator. It uses `SearchText` and `SearchIn` classes. The `|` operator allows documents to match either the first expression or the second, or both. The result is a Django ORM query annotated with the combined expression's score.

```python
expr = SearchText(path="plot", query="heartwarming") | SearchIn(path="genres", value=["Romance", "Comedy"])
Movie.objects.annotate(score=expr)
```

--------------------------------

### Query JSONField Nested Field

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Query data within a JSONField by chaining field names with double underscores. This example filters movies where the nested 'votes' field within 'imdb' exceeds 900000.

```python
Movie.objects.filter(imdb__votes__gt=900000)
```

--------------------------------

### Sort Query Results by Field in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

This Python example shows how to sort query results in ascending order based on a specified field using the order_by() method. It filters Movie documents by title and then sorts them by the 'released' field. This is useful for presenting data in a structured and predictable manner.

```python
Movie.objects.filter(title__startswith="Rocky").order_by("released")
```

--------------------------------

### Vector Search Query with Relevance Score in Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-vector-search

This example extends the basic vector search to include the relevance score for each document. It uses the `values()` method to retrieve the 'title' and 'score' fields, ordering the results by relevance. The output displays a QuerySet of dictionaries containing movie titles and their corresponding scores.

```python
vector_values = [float(i % 10) * 0.1 for i in range(1536)]
MovieWithEmbeddings.objects.annotate(
    score=SearchVector(
        path="plot_embedding",
        query_vector=vector_values,
        limit=5,
        num_candidates=150,
        exact=False,
    )
).values("title", "score")
```

--------------------------------

### Python Django Text Match Lookup Example

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Demonstrates how to use the 'contains' field lookup in Django with the MongoDB backend to find documents where a field's text value partially matches a given string. This is useful for partial string searches. The syntax follows Model.objects.filter(<field name>__<lookup type>=<value>).

```python
Movie.objects.filter(plot__contains="coming-of-age")
```

--------------------------------

### Read Single Document with Django and MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/crud

Retrieves a single document from a MongoDB collection that matches the query criteria using Django's get() method. This method is suitable when expecting exactly one result. It raises an error if zero or multiple documents match the query.

```python
Movie.objects.get(title="Boyhood")
```

--------------------------------

### Exclude Matching Documents in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Excludes documents from a MongoDB collection that do not meet specified search criteria using the `exclude()` method in Django. This method takes exclusion criteria as arguments. The example excludes documents released before a specific date using the `lt` field lookup.

```python
Movie.objects.exclude(released__lt=timezone.make_aware(datetime(1980, 1, 1)))
```

--------------------------------

### Handle Transaction Errors in Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/transactions

Implement error handling around Django's atomic code blocks to manage exceptions during transactions. If a transaction fails, Django might not roll back changes, necessitating manual restoration of original field values to maintain data consistency. This example reverts a title change if the save operation fails.

```python
from django.db import transaction, DatabaseError

# Assume Movie model is defined elsewhere

movie = Movie.objects.get(title="Jurassic Park")  
movie.title = "Jurassic Park I"  
try:  
    with transaction.atomic():  
        movie.save()
except DatabaseError:
    movie.title = "Jurassic Park" # Revert title change on error

if movie.title == "Jurassic Park I":  
    movie.plot = "An industrialist invites experts to visit his theme park of cloned dinosaurs. After a power failure," \
    "   the creatures run loose, putting everyone's lives, including his grandchildren's, in danger."
    movie.save()
```

--------------------------------

### Create Django Admin User

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-admin

This command-line utility creates a superuser account for accessing the Django admin site. It prompts for username, email, and password to set up the administrator credentials. Ensure you are in your project's root directory before running.

```bash
python manage.py createsuperuser

```

```bash
Username: admin
Email address: admin@example.com
Password: <admin-password>
Password (again): <admin-password>

```

--------------------------------

### Run Django Database Migrations for MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/models

These bash commands are used to manage database migrations for your Django project when using MongoDB. `makemigrations` creates migration files for your application, and `migrate` applies those migrations to create or update collections.

```bash
python manage.py makemigrations <application name>
python manage.py migrate
```

--------------------------------

### Define Django Recipe Model with MongoDB Backend

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This Python code defines the `Nutrition` and `Recipe` models. The `Recipe` model is configured to map to a MongoDB collection named 'recipes' using `django_mongodb_backend`.

```python
from django.db import models
from django.db.models import Q, F
from django_mongodb_backend.models import EmbeddedModel
from django_mongodb_backend.fields import EmbeddedModelField, ArrayField

class Nutrition(EmbeddedModel):
    calories = models.IntegerField(default=0)
    carb_grams = models.IntegerField(default=0)
    protein_grams = models.IntegerField(default=0)

class Recipe(models.Model):
    title = models.CharField(max_length=200)
    cuisine = models.CharField(max_length=200)
    cook_time = models.IntegerField(default=0)
    allergens = ArrayField(models.CharField(max_length=100), null=True, blank=True)
    nutrition = EmbeddedModelField(Nutrition, null=True, blank=True)

    class Meta:
        db_table = "recipes"

    def __str__(self):
        return self.title

```

--------------------------------

### Add Application to Django Settings

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/models

This Python code snippet shows how to add your Django application module to the INSTALLED_APPS list in your project's settings.py file. This step is necessary for Django to recognize and use your defined models.

```python
INSTALLED_APPS = [
    '<application module>',
    # Include other app modules here
]
```

--------------------------------

### Run Atlas Search Phrase Query with Highlight - Python Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/raw-queries

Executes an Atlas Search query using the `$search` aggregation stage to find documents matching a specific phrase with a given slop. It also utilizes the `$project` stage with `$meta: 'searchHighlights'` to return highlighted portions of the matched text. This requires an existing Atlas Search index covering the specified field.

```python
movies = Movie.objects.raw_aggregate([
    {
        "$search": {
            "index": "<search-index-name>",
            "phrase": {
                "path": "plot",
                "query": "whirlwind romance",
                "slop": 3
            },
            "highlight": {
                "path": "plot"
            }
        }
    },
    {
        "$project": {
            "title": 1,
            "highlight": {"$meta": "searchHighlights"}
        }
    }
])

for m in movies:
    print(f"Title: {m.title}, text match details: {m.highlight}\n")
```

--------------------------------

### Exit Python Shell

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/write-data

Exits the current Python interactive shell session.

```python
exit()
```

--------------------------------

### Automatically Configure MongoDB Connection in Django (Python)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/connect

This snippet demonstrates how to use the `parse_uri()` function to automatically configure the `DATABASES` setting for a MongoDB connection in Django. It requires the `django_mongodb_backend` library and takes a MongoDB connection URI and database name as input.

```python
import django_mongodb_backend

MONGODB_URI = "mongodb+srv://my_user:my_password@cluster0.example.mongodb.net/?retryWrites=true&w=majority"
DATABASES["default"] = django_mongodb_backend.parse_uri(MONGODB_URI, db_name="<database name>")
```

--------------------------------

### Register Django Model with Admin Site

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/create-admin

This Python code snippet registers a Django model ('Viewer') with the Django admin site. This allows instances of the 'Viewer' model to be managed (viewed, created, edited, deleted) through the admin interface. It requires importing the 'admin' module and the model itself.

```python
from django.contrib import admin

from .models import Viewer

admin.site.register(Viewer)

```

--------------------------------

### Import Models and Modules in Python Shell

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-vector-search

Imports the necessary `MovieWithEmbeddings` model from your Django application's models and prepares the Python interactive shell environment for database interactions.

```python
from <your application name>.models import MovieWithEmbeddings

```

--------------------------------

### Create Partial Index in Django Model

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This snippet shows how to create a partial index on the 'cuisine' field, which only indexes documents where 'cook_time' is less than 30. Partial indexes are created using the 'condition' argument with a Q object.

```python
class Meta:
    db_table = "recipes"
    indexes = [
        models.Index(fields=["cuisine"],
                     condition=Q(cook_time__lt=30),
                     name="fast_cuisine_idx"),
    ]
```

--------------------------------

### Configure Django Database Settings for MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/connect-mongodb

Updates the `DATABASES` setting in Django's `settings.py` file to use the `django-mongodb-backend` for connecting to a MongoDB deployment. Requires a connection string URI and optionally a database name.

```python
DATABASES = {
   "default": django_mongodb_backend.parse_uri("<connection string URI>", db_name="<database name>"),
}
```

--------------------------------

### Create MongoDB Indexes in Django Meta Class

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This Python code snippet demonstrates how to define MongoDB indexes for a Django model by specifying the `indexes` option within the model's `Meta` class. It shows the basic structure for adding one or more `models.Index` definitions.

```python
class Meta:
    indexes = [
        models.Index(<first index definition>),
        models.Index(<second index definition>),
        # add more indexes here
    ]

```

--------------------------------

### Manually Configure Django Database Settings for MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/connect

Manually configure your Django project's connection to MongoDB by updating the DATABASES variable in your settings.py file. This method requires specifying engine, host, name, user, password, port, and optional connection options.

```python
DATABASES = {
    "default": {
        "ENGINE": "django_mongodb_backend",
        "HOST": "mongodb+srv://cluster0.example.mongodb.net",
        "NAME": "my_database",
        "USER": "my_user",
        "PASSWORD": "my_password",
        "PORT": 27017,
        "OPTIONS": {
            "retryWrites": "true",
            "w": "majority",
        },
    },
}
```

--------------------------------

### Filter and Project Document Fields using raw_aggregate()

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/raw-queries

This snippet demonstrates how to use the `raw_aggregate()` method on a Django MongoDB Backend model manager to filter documents by title and project specific fields. It takes an aggregation pipeline as input, consisting of `$match` and `$project` stages. The method returns deferred model instances, allowing for on-demand loading of additional fields.

```python
movies = Movie.objects.raw_aggregate([
    {" $match": {"title": "The Parent Trap"}},
    {" $project": {
        "title": 1,
        "released": 1
    }
}])

for m in movies:
    print(f"Plot of {m.title}, released on {m.released}: {m.plot}\n")
```

--------------------------------

### Expose MongoClient in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/raw-queries

This code snippet shows how to access the underlying MongoClient object from Django's database connections. This allows direct use of PyMongo driver methods, such as create_index(), which are not available through the Django ORM or raw_aggregate(). Replace '<DATABASES key>' with your specific database configuration key.

```python
from django.db import connections

client = connections["<DATABASES key>"].database.client
```

--------------------------------

### Run Atlas Search Query Syntax (Python)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

Illustrates the basic syntax for running an Atlas Search query using Django's `annotate()` method. It involves specifying a score argument with a search operator and field path.

```python
Model.objects.annotate(
   score=<Search Operator>(path="<field name", <additional arguments>)
)
```

--------------------------------

### Query Movies Collection by Runtime in Django/Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/query-data

This snippet demonstrates querying the 'movies' collection in MongoDB via Django models. It filters movies based on a runtime value less than a specified number (10) using the `filter()` method with a less-than lookup (`__lt`).

```python
Movie.objects.filter(runtime__lt=10)
```

--------------------------------

### Configure GeoDjango in Django Settings

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/geodjango

Add `django.contrib.gis` to the `INSTALLED_APPS` setting in your `settings.py` file to enable GeoDjango support. This is a prerequisite for using geospatial data features.

```python
INSTALLED_APPS = [
    "django.contrib.gis",
    # ... Other installed apps
]
```

--------------------------------

### Boost Relevance Score with SearchScoreOption in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

This snippet illustrates how to customize relevance scores using the `SearchScoreOption` class. It specifically shows how to boost the score of documents matching a `SearchEquals` expression by a factor of 3. This involves creating a `SearchScoreOption` with a 'boost' configuration and applying it to the `score` argument of the `SearchEquals` expression within a Django ORM query.

```python
boost = SearchScoreOption({"boost": {"value": 3}})
Movie.objects.annotate(
    score=SearchEquals(
        path="title",
        value="Life of Pi",
        score=boost
    )
)
```

--------------------------------

### Define Django MongoDB Models

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/raw-queries

Defines `Movie` and `Theater` models for use with Django MongoDB Backend. These models utilize `MongoManager` for MongoDB-specific operations and include inner `Meta` classes for database configuration and `__str__()` methods for string representation.

```python
from django.db import models
from django_mongodb_backend.fields import ArrayField
from django_mongodb_backend.managers import MongoManager

class Movie(models.Model):
    title = models.CharField(max_length=200)
    plot = models.TextField(blank=True)
    runtime = models.IntegerField(default=0)
    released = models.DateTimeField("release date", null=True, blank=True)
    genres = ArrayField(models.CharField(max_length=100), null=True, blank=True)
    objects = MongoManager()

    class Meta:
        db_table = "movies"
        managed = False

    def __str__(self):
        return self.title

class Theater(models.Model):
    theaterId = models.IntegerField(default=0)
    objects = MongoManager()

    class Meta:
        db_table = "theaters"
        managed = False

    def __str__(self):
        return self.theaterId
```

--------------------------------

### Insert Document into MongoDB using Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/crud

Demonstrates how to insert a new document into a MongoDB collection using Django MongoDB Backend. It shows two methods: using the `create()` method on the model manager for a single-step creation and saving, and creating a model instance first followed by calling the `save()` method.

```python
Movie.objects.create(title="Poor Things", runtime=141)
```

```python
movie = Movie(title="Poor Things", runtime=141)
movie.save()
```

--------------------------------

### Import Django and Datetime Modules

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/write-data

Imports necessary classes and modules from Django and the Python datetime library. These are required for working with models (Movie, Award, Viewer) and handling date/time objects, specifically for making timezone-aware datetimes.

```python
from sample_mflix.models import Movie, Award, Viewer
from django.utils import timezone
from datetime import datetime
```

--------------------------------

### Query Users Collection by Email in Django/Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/query-data

This snippet shows how to query the 'users' collection in MongoDB using Django models to find a user by their email address. It imports the necessary Viewer model and uses the `filter().first()` method to retrieve a single matching record.

```python
from sample_mflix.models import Movie, Viewer

Viewer.objects.filter(email="jason_momoa@gameofthron.es").first()
```

--------------------------------

### Import Models and Search Expressions (Python)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

Imports necessary models (`Movie`, `Theater`) and Atlas Search expression classes from `django_mongodb_backend.expressions`. These are required for running Atlas Search queries within the Django shell.

```python
from <your application name>.models import Movie, Theater
from django_mongodb_backend.expressions import (
     SearchEquals, SearchAutocomplete, SearchExists, SearchIn,
     SearchPhrase, SearchQueryString, SearchRange, SearchRegex,
     SearchText, SearchWildcard, SearchGeoShape, SearchGeoWithin,
     SearchMoreLikeThis, CompoundExpression, SearchScoreOption
)
```

--------------------------------

### Define Movie Model - Django MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/transactions

Defines the `Movie` model for interacting with the `sample_mflix.movies` collection in MongoDB. It includes fields for title, plot, runtime, release date, and genres. The `Meta` class specifies the database table and that the model is not managed by Django's migrations.

```python
from django.db import models
from django_mongodb_backend.fields import ArrayField

class Movie(models.Model):
    title = models.CharField(max_length=200)
    plot = models.TextField(blank=True)
    runtime = models.IntegerField(default=0)
    released = models.DateTimeField("release date", null=True, blank=True)
    genres = ArrayField(models.CharField(max_length=100), null=True, blank=True)

    class Meta:
        db_table = "movies"
        managed = False

    def __str__(self):
        return self.title

```

--------------------------------

### Retrieve First Document from Query Set in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Retrieves the first document matching the specified filter criteria from a MongoDB collection using Django's ORM. This is useful when you only need a single record and want to optimize query performance. It chains the `first()` method after `filter()`.

```python
Movie.objects.filter(genres=["Crime", "Comedy"]).first()
```

--------------------------------

### Skip and Limit Query Results using Slicing in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

This Python snippet illustrates how to retrieve a specific subset of query results using array slicing. It filters Movie documents by the 'released' date and then returns the third and fourth results (index 2 to 4). This technique is essential for pagination and controlling data retrieval volume.

```python
Movie.objects.filter(released=timezone.make_aware(datetime(2010, 7, 16)))[2:4]
```

--------------------------------

### Perform Atlas Vector Search Query with Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-vector-search

Demonstrates how to construct and execute an Atlas Vector Search query using Django MongoDB Backend's `SearchVector` expression. This allows for semantic searching based on vector similarity, with options for filtering and controlling the search parameters.

```python
from django_mongodb_backend.expressions import SearchVector

Model.objects.annotate(
   score=SearchVector(
     path="<field name>",
     query_vector=[<vector values>],
     limit=<number>,
     num_candidates=<number>,
     exact=<boolean>,
     filter=<filter expression>
   )
)

```

--------------------------------

### Retrieve All Documents in Python (Django)

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Retrieves all documents from a MongoDB collection using the `all()` method on the model's manager in Django. This method returns a QuerySet containing all documents in the specified collection. No specific inputs are required beyond the model definition.

```python
Movie.objects.all()
```

--------------------------------

### Define a Django Model for MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/models

This Python code defines a basic Django model class that can be mapped to a MongoDB collection. It includes field definitions, an inner Meta class for model options like database table name and management, and a __str__() method for string representation.

```python
from django.db import models

class Movie(models.Model):
    title = models.CharField(max_length=200)
    plot = models.TextField(blank=True)
    runtime = models.IntegerField(default=0)
    released = models.DateTimeField("release date", null=True, blank=True)

    class Meta:
        db_table = "movies"
        managed = False

    def __str__(self):
        return self.title
```

--------------------------------

### Wildcard Search with SearchWildcard in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

The SearchWildcard expression allows for flexible string matching using wildcard characters like '*' and '?'. It searches a specified field against a query pattern. This is useful for partial string matches.

```python
Movie.objects.annotate(score=SearchWildcard(path="title", query="Star*"))
```

--------------------------------

### Perform full-text search with fuzzy matching using SearchText

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

The SearchText operator performs full-text searches on string fields, supporting fuzzy matching and configurable criteria. It requires a 'path' and a 'query' term. Optional parameters include 'fuzzy' for edit distance, 'match_criteria' (all/any), 'synonyms', and 'score'. This is suited for user-facing search functionalities.

```python
Movie.objects.annotate(score=SearchText(  
    path="plot",   
    query="sudden disappearance",   
    fuzzy={"maxEdits": 2},   
    match_criteria="all"  
))  
```

--------------------------------

### Create Multikey Index in Django Model

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This snippet illustrates the creation of a multikey index on an array field ('allergens') in a Django model. MongoDB automatically handles array fields as multikey indexes when an index is defined on them.

```python
class Meta:
    db_table = "recipes"
    indexes = [
        models.Index(fields=["allergens"], name="allergy_idx"),
    ]
```

--------------------------------

### Basic Vector Search Query in Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-vector-search

This code snippet demonstrates a basic vector search query on the `sample_mflix.embedded_movies` collection. It queries the `plot_embedding` field, limits results to 5 documents, and uses Approximate Nearest Neighbor (ANN) search with 150 candidates. The output shows the retrieved movie objects.

```python
vector_values = [float(i % 10) * 0.1 for i in range(1536)]
MovieWithEmbeddings.objects.annotate(
    score=SearchVector(
        path="plot_embedding",
        query_vector=vector_values,
        limit=5,
        num_candidates=150,
        exact=False,
    )
)
```

--------------------------------

### Combine Search Expressions with CompoundExpression in Python

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

This snippet demonstrates using the CompoundExpression class to combine multiple Atlas Search criteria. It requires the `CompoundExpression`, `SearchExists`, `SearchText`, and `SearchIn` classes. The `must` argument specifies mandatory conditions, while `must_not` excludes documents matching certain criteria. This results in a Django ORM query annotated with a relevance score.

```python
plot_exists = SearchExists(path="plot")
plot_text = SearchText(path="plot", query="fast-paced")
genres_range = SearchIn(path="genres", value=["Romance", "Comedy"])
Movie.objects.annotate(
    score=CompoundExpression(
        must=[plot_exists, plot_text],
        must_not=[genres_range]
    )
)
```

--------------------------------

### Define Django Model with Embeddings for MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-vector-search

Defines a Django model `MovieWithEmbeddings` that maps to the `sample_mflix.embedded_movies` collection in MongoDB. It includes a `CharField` for the title, an `IntegerField` for runtime, and an `ArrayField` for the plot embeddings, suitable for vector search.

```python
from django.db import models
from django_mongodb_backend.fields import ArrayField

class MovieWithEmbeddings(models.Model):
    title = models.CharField(max_length=200)
    runtime = models.IntegerField(default=0)
    plot_embedding = ArrayField(models.FloatField(), size=1536, null=True, blank=True)

    class Meta:
        db_table = "embedded_movies"
        managed = False

    def __str__(self):
        return self.title

```

--------------------------------

### Create Compound Unique Index in Django Meta Class

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This Python code snippet defines the Meta class for a Django model, specifying a unique compound index on the 'title' and 'cuisine' fields using `models.UniqueConstraint`. This automatically creates an index in the database to enforce the uniqueness of combined 'title' and 'cuisine' values.

```python
class Meta:
    db_table = "recipes"
    constraints = [
        models.UniqueConstraint(fields=["title", "cuisine"],
                                name="unique_regional_meal"),
    ]
```

--------------------------------

### Create Single Field Index in Django Model

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/model-data/indexes

This snippet demonstrates how to create a single field index on the 'title' field of a Django model. This is achieved by defining an index in the model's Meta class. Alternatively, the db_index=True option can be set directly on the model field.

```python
class Meta:
    db_table = "recipes"
    indexes = [
        models.Index(fields=["title"], name="title_idx"),
    ]
```

```python
class Recipe(models.Model):
    title = models.CharField(max_length=200, db_index=True)
```

--------------------------------

### Perform Lucene-style text search with SearchQueryString

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

The SearchQueryString operator enables text, wildcard, regex, fuzzy, and range searches on string fields using Lucene-style queries. It requires a 'path' for the field and a 'query' string. An optional 'score' can be provided. This is useful for complex text searching within your Django application.

```python
Movie.objects.annotate(score=SearchQueryString(path="plot", query="romance AND (paris OR tokyo)"))  
```

--------------------------------

### Define Movie and Award Models for Django MongoDB

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/specify-a-query

Defines the `Award` and `Movie` models using Django's ORM, tailored for use with the Django MongoDB Backend. The `Movie` model includes fields for title, plot, runtime, release date, awards (as an embedded model), genres (as an array), and IMDb data (as JSON).

```python
from django.db import models
from django_mongodb_backend.models import EmbeddedModel
from django_mongodb_backend.fields import EmbeddedModelField, ArrayField

class Award(EmbeddedModel):
    wins = models.IntegerField(default=0)
    nominations = models.IntegerField(default=0)
    text = models.CharField(max_length=100)

class Movie(models.Model):
    title = models.CharField(max_length=200)
    plot = models.TextField(blank=True)
    runtime = models.IntegerField(default=0)
    released = models.DateTimeField("release date", null=True, blank=True)
    awards = EmbeddedModelField(Award)
    genres = ArrayField(models.CharField(max_length=100), null=True, blank=True)
    imdb = models.JSONField(null=True)

    class Meta:
        db_table = "movies"
        managed = False

    def __str__(self):
        return self.title
```

--------------------------------

### Phrase Matching Search with SearchPhrase in Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/interact-data/atlas-search

The SearchPhrase expression matches exact or near-exact sequences of terms within a field. It requires the field name and the phrase query. Optional parameters include 'slop' for word distance, 'synonyms' for synonym mappings, and 'score' for relevance configuration.

```python
Movie.objects.annotate(score=SearchPhrase(path="plot", query="space adventure", slop=2))
```

--------------------------------

### Insert Movie Object into MongoDB with Django

Source: https://www.mongodb.com/docs/languages/python/django-mongodb/current/get-started/write-data

Creates and inserts a new Movie document into the MongoDB database using the Django ORM. It demonstrates how to create related objects (Award) and set various fields including title, plot, runtime, release date, awards, and genres.

```python
movie_awards = Award(wins=122, nominations=245, text="Won 1 Oscar")
movie = Movie.objects.create(
    title="Minari",
    plot="A Korean-American family moves to an Arkansas farm in search of their own American Dream",
    runtime=217,
    released=timezone.make_aware(datetime(2020, 1, 26)),
    awards=movie_awards,
    genres=["Drama", "Comedy"]
)
```