### Installing JSONLite via pip

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This snippet demonstrates how to install the JSONLite library using pip, the Python package installer. It's a standard command-line installation process that fetches the package from PyPI.

```sh
pip install jsonlite
```

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

### JSONLite Data File Structure Example

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This JSON snippet illustrates the typical data layout within a JSONLite database file. It shows an array of objects under a 'data' key, where each object represents a document and includes an '_id' field along with other user-defined data fields.

```json
{
    "data": [
        {   "_id": 1,
            "name": "Alice",
            "age": 30
        },
        {   "_id": 2,
            "name": "Bob",
            "age": 25
        },
        {   "_id": 3,
            "name": "Charlie",
            "age": 20
        }
    ]
}
```

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

### Initializing JSONLite Database in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet shows how to initialize a JSONLite database instance by importing the `JSONlite` class and creating an object. The constructor takes the desired JSON file name as an argument, which will be used for data storage.

```python
from jsonlite import JSONlite

db = JSONlite('mydatabase.json')
```

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

### Patching PyMongo to Use JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet shows how to patch the `pymongo` library to use JSONLite as its backend, allowing interaction with local JSON files using the familiar `pymongo` API. It demonstrates connecting to a 'jsonlite://' URI and performing operations like `insert_one` and `drop` as if interacting with a MongoDB instance.

```python
from jsonlite import pymongo_patch

pymongo_patch()

from pymongo import MongoClient

client = MongoClient('jsonlite://database')
db = client.test_database
collection = db.test_collection
insert_result = collection.insert_one({"name": "Alice", "age": 30})
# Just like using pymongo
collection.drop()
```

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

### Finding a Single Document with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet shows how to retrieve a single document from the JSONLite database using the `find_one` method, based on a query criteria. It returns the first matching document as a dictionary or `None` if no document matches the criteria.

```python
document = db.find_one({"name": "John Doe"})
document
```

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

### Finding Multiple Documents with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet demonstrates how to query and retrieve multiple documents from the JSONLite database using the `find` method. It supports MongoDB-like query operators, such as `$gte` (greater than or equal to), to filter documents based on specified conditions.

```python
documents = db.find({"age": {"$gte": 25}})
documents
```

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

### Inserting a Single Document with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet demonstrates how to insert a single document into the JSONLite database using the `insert_one` method. It takes a dictionary representing the document and returns a result object containing the `inserted_id` of the newly added document.

```python
result = db.insert_one({"name": "John Doe", "age": 30})
result.inserted_id
```

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

### Updating a Single Document with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet illustrates updating a single document in the JSONLite database using the `update_one` method. It takes a query to identify the document and an update operation (e.g., `$set`) to modify its fields, returning counts of matched and modified documents.

```python
result = db.update_one({"name": "John Doe"}, {"$set": {"age": 31}})
result.matched_count, result.modified_count
```

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

### Inserting Multiple Documents with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet illustrates inserting multiple documents into the JSONLite database using the `insert_many` method. It accepts a list of dictionaries, each representing a document, and returns a result object with a list of `inserted_ids` for all added documents.

```python
result = db.insert_many([
    {"name": "Jane Doe", "age": 25},
    {"name": "Alice", "age": 28}
])
result.inserted_ids
```

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

### Updating Multiple Documents with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet shows how to update multiple documents in the JSONLite database using the `update_many` method. It applies the specified update operation to all documents that match the provided query criteria, returning the counts of matched and modified documents.

```python
result = db.update_many({"age": {"$gte": 25}}, {"$set": {"status": "active"}})
result.matched_count, result.modified_count
```

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

### Deleting a Single Document with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet demonstrates how to delete a single document from the JSONLite database using the `delete_one` method based on a query. It returns a result object containing the `deleted_count`, indicating how many documents were removed.

```python
result = db.delete_one({"name": "John Doe"})
result.deleted_count
```

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

### Deleting Multiple Documents with JSONLite in Python

Source: https://github.com/simpx/jsonlite/blob/main/README.md

This Python snippet illustrates how to delete multiple documents from the JSONLite database using the `delete_many` method. It removes all documents that match the specified query criteria, returning the total `deleted_count`.

```python
result = db.delete_many({"age": {"$lt": 30}})
result.deleted_count
```

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