Cursor Pagination Example

antusystem — Mon, 02 Sep 2024 22:31:08 +0000

Hi, I wanted to share an example of the Cursor Pagination Pattern (or Cursor Paging Pattern) because when I was searching for one I could only find example of the cases that move forward but not backward, and neither how to handle the data at the start and end.

You can see the repository for this here but I will try to explain everything here.

I use Python Poetry as the package management tool, so for this example I asume you have it already. First thing to do is install the dependencies with poetry install. You could also use pip to install them with: pip install pymongo loguru.

Now we also need a Mongo database, you can download MongoDB Community Edition here, and you can configure it with this guide.

Now that we have the dependencies installed and the database we can add data to it. For that we can use this:

from pymongo import MongoClient

# Data to add
sample_posts = [
    {"title": "Post 1", "content": "Content 1", "date": datetime(2023, 8, 1)},
    {"title": "Post 2", "content": "Content 2", "date": datetime(2023, 8, 2)},
    {"title": "Post 3", "content": "Content 3", "date": datetime(2023, 8, 3)},
    {"title": "Post 4", "content": "Content 4", "date": datetime(2023, 8, 4)},
    {"title": "Post 5", "content": "Content 5", "date": datetime(2023, 8, 5)},
    {"title": "Post 6", "content": "Content 6", "date": datetime(2023, 8, 6)},
    {"title": "Post 7", "content": "Content 7", "date": datetime(2023, 8, 7)},
    {"title": "Post 8", "content": "Content 8", "date": datetime(2023, 8, 8)},
    {"title": "Post 9", "content": "Content 9", "date": datetime(2023, 8, 9)},
    {"title": "Post 10", "content": "Content 10", "date": datetime(2023, 8, 10)},
    {"title": "Post 11", "content": "Content 11", "date": datetime(2023, 8, 11)},
]
# Creating connection
token = "mongodb://localhost:27017"
client = MongoClient(token)
cursor_db = client.cursor_db.content
cursor_db.insert_many(sample_posts)

With that we create a connection to a local database to the collection content. Then we add the values from sample_posts to it. Now that we have data to search we can start to query it. Let's start to search and read the data until the end.

# Import libraries
from bson.objectid import ObjectId
from datetime import datetime

from loguru import logger
from pymongo import MongoClient

# Use token to connect to local database
token = "mongodb://localhost:27017"
client = MongoClient(token)
# Access cursor_db collection (it will be created if it does not exist)
cursor_db = client.cursor_db.content
default_page_size = 5

def fetch_next_page(cursor, page_size = None):
    # Use the provided page_size or use a default value
    page_size = page_size or default_page_size  

    # Check if there is a cursor
    if cursor:
        # Get documents with `_id` greater than the cursor
        query = {"_id": {'$gt': cursor}}
    else:
        # Get everything
        query = {}
    # Sort in ascending order by `_id`
    sort_order = 1 

    # Define the aggregation pipeline
    pipeline = [
        {"$match": query},  # Filter based on the cursor
        {"$sort": {"_id": sort_order}},  # Sort documents by `_id`
        {"$limit": page_size + 1},  # Limit results to page_size + 1 to check if there's a next page
        # {"$project": {"_id": 1, "title": 1, "content": 1}}  # In case you want to return only certain attributes
    ]

    # Execute the aggregation pipeline
    results = list(cursor_db.aggregate(pipeline))
    # logger.debug(results)

    # Validate if some data was found
    if not results: raise ValueError("No data found")

    # Check if there are more documents than the page size
    if len(results) > page_size:
        # Deleting extra document
        results.pop(-1)
        # Set the cursor for the next page
        next_cursor = results[-1]['_id']
        # Set the previous cursor
        if cursor:
            # in case the cursor have data
            prev_cursor = results[0]['_id']
        else:
            # In case the cursor don't have data (first page)
            prev_cursor = None
        # Indicate you haven't reached the end of the data
        at_end = False
    else:
        # Indicate that there are not more pages available (last page reached)
        next_cursor = None
        # Set the cursor for the previous page
        prev_cursor = results[0]['_id']
        # Indicate you have reached the end of the data
        at_end = True
    return results, next_cursor, prev_cursor, at_end


@logger.catch
def main():
    """Main function."""
    # Get the first page
    results, next_cursor, prev_cursor, at_end = fetch_next_page(None)
    logger.info(f"{results = }")
    logger.info(f"{next_cursor = }")
    logger.info(f"{prev_cursor = }")
    logger.info(f"{at_end = }")

if __name__:
    main()
    logger.info("--- Execution end ---")

That code return this:

2024-09-02 08:55:24.388 | INFO     | __main__:main:73 - results = [{'_id': ObjectId('66bdfdcf7a0667fd1888c20c'), 'title': 'Post 1', 'content': 'Content 1', 'date': datetime.datetime(2023, 8, 1, 0, 0)}, {'_id': ObjectId('66bdfdcf7a0667fd1888c20d'), 'title': 'Post 2', 'content': 'Content 2', 'date': datetime.datetime(2023, 8, 2, 0, 0)}, {'_id': ObjectId('66bdfdcf7a0667fd1888c20e'), 'title': 'Post 3', 'content': 'Content 3', 'date': datetime.datetime(2023, 8, 3, 0, 0)}, {'_id': ObjectId('66bdfdcf7a0667fd1888c20f'), 'title': 'Post 4', 'content': 'Content 4', 'date': datetime.datetime(2023, 8, 4, 0, 0)}, {'_id': ObjectId('66bdfdcf7a0667fd1888c210'), 'title': 'Post 5', 'content': 'Content 5', 'date': datetime.datetime(2023, 8, 5, 0, 0)}]
2024-09-02 08:55:24.388 | INFO     | __main__:main:74 - next_cursor = ObjectId('66bdfdcf7a0667fd1888c210')
2024-09-02 08:55:24.388 | INFO     | __main__:main:75 - prev_cursor = None
2024-09-02 08:55:24.388 | INFO     | __main__:main:76 - at_end = False
2024-09-02 08:55:24.388 | INFO     | __main__:<module>:79 - --- Execution end ---

You can see that the cursor points to a next page and the previous one is None, also, it identifies that it is not the end of the data. To obtain this values we must have a better look at the function fetch_next_page. In there we can see that we defined the page_size, the query, the sort_order, and then we create the pipeline to the aggregation operation. To identify if there is another page of information we use the $limit operator, we give the value of page_size + 1 to check if there is, in fact, another page with that + 1. To actually check it we use the expresion len(results) > page_size, in case the number of data returned is greater than page_size then there is another page; on the contrary, this is the last page.

For the case where there is a next page we must delete the last element from the list of information we queried, because that was the + 1 in the pipeline, we need to set next_cursor with the _id from the current last value from the list, and set the prev_cursor (the previous cursor) according to the case, if there was a cursor that means that there is data before this one, in the other case, that means this is the first group of data, so there is no previous information, therefore, the cursor should be the first _id from the data found or None.

Now that we know how to search the data and add some important validation we must enable a way to traverse it forward, for that we will use the input command to request from the user running the script to write the direction to move, though, right now it will only be forward (f). We can update our main function to do it like this:


@logger.catch
def main():
    """Main function."""
    # Get the first page
    results, next_cursor, prev_cursor, at_end = fetch_next_page(None)
    logger.info(f"{results = }")
    logger.info(f"{next_cursor = }")
    logger.info(f"{prev_cursor = }")
    logger.info(f"{at_end = }")
    # Checking if there is more data to show
    if next_cursor:
        # Enter a cycle to traverse the data
        while(True):
            print(125 * "*")
            # Ask for the user to move forward or cancel the execution
            inn = input("Can only move Forward (f) or Cancel (c): ")

            # Execute action acording to the input
            if inn == "f":
                results, next_cursor, prev_cursor, at_end = fetch_next_page(next_cursor, default_page_size)
            elif inn == "c":
                logger.warning("------- Canceling execution -------")
                break
            else:
                # In case the user sends something that is not a valid option
                print("Not valid action, it can only move in the opposite direction.")
                continue
            logger.info(f"{results = }")
            logger.info(f"{next_cursor = }")
            logger.info(f"{prev_cursor = }")
            logger.info(f"{at_end = }")
    else:
        logger.warning("There is not more data to show")

With this we are able to traverse the data until the end, but when it reaches the end it returns to the beginning and the cycle starts again, so we must add some validations to avoid that and also to move backwards. For that we will create the function fetch_previous_page and add some changes to the main function:

def fetch_previous_page(cursor, page_size = None):
    # Use the provided page_size or fallback to the class attribute
    page_size = page_size or default_page_size  

    # Check if there is a cursor
    if cursor:
        # Get documents with `_id` less than the cursor
        query = {'_id': {'$lt': cursor}}
    else:
        # Get everything
        query = {}
    # Sort in descending order by `_id`
    sort_order = -1  

    # Define the aggregation pipeline
    pipeline = [
        {"$match": query},  # Filter based on the cursor
        {"$sort": {"_id": sort_order}},  # Sort documents by `_id`
        {"$limit": page_size + 1},  # Limit results to page_size + 1 to check if there's a next page
        # {"$project": {"_id": 1, "title": 1, "content": 1}}  # In case you want to return only certain attributes
    ]

    # Execute the aggregation pipeline
    results = list(cursor_db.aggregate(pipeline))

    # Validate if some data was found
    if not results: raise ValueError("No data found")

    # Check if there are more documents than the page size
    if len(results) > page_size:
        # Deleting extra document
        results.pop(-1)
        # Reverse the results to maintain the correct order
        results.reverse()
        # Set the cursor for the previous page
        prev_cursor = results[0]['_id']
        # Set the cursor for the next page
        next_cursor = results[-1]['_id']
        # Indicate you are not at the start of the data
        at_start = False
    else:
        # Reverse the results to maintain the correct order
        results.reverse()
        # Indicate that there are not more previous pages available (initial page reached)
        prev_cursor = None
        # !!!!
        next_cursor = results[-1]['_id']
        # Indicate you have reached the start of the data
        at_start = True
    return results, next_cursor, prev_cursor, at_start

Extremely similar to fetch_next_page, but the query (in case the conditions are met) use the operator $lt and sort_order must be -1 to bring the data in the needed order. Now, when validating if len(results) > page_size, in case the condition is true, then it removes the extra element and reverse the order of the data for it to be shown correctly then set the previous cursor to the first element of the data and the next cursor to the last. On the contrary, the data is reverse, the previous cursor is set to None (because there is not previous data), and set the next cursor to the last value of the list. In both cases, a boolean variable called at_start is defined to identify this situation. Now we must add the interaction with the user to go backwards in the main function, so there are 3 situation to handle in case we are at the beginning, the end, or in the middle of the data: only going forward, only going backwards, and going forward o backward:

@logger.catch
def main():
    """Main function."""
    # Get the first page
    results, next_cursor, prev_cursor, at_end = fetch_next_page(None)
    logger.info(f"{results = }")
    logger.info(f"{next_cursor = }")
    logger.info(f"{prev_cursor = }")
    logger.info(f"{at_end = }")
    # Checking if there is more data to show
    if not(at_start and at_end):
        # Enter a cycle to traverse the data
        while(True):
            print(125 * "*")
            # Ask for the user to move forward or cancel the execution
            if at_end:
                inn = input("Can only move Backward (b) or Cancel (c): ")
                stage = 0
            elif at_start:
                inn = input("Can only move Forward (f) or Cancel (c): ")
                stage = 1
            else:
                inn = input("Can move Forward (f), Backward (b), or Cancel (c): ")
                stage = 2

            # Execute action acording to the input
            if inn == "f" and stage in [1, 2]:
                results, next_cursor, prev_cursor, at_end = fetch_next_page(next_cursor, page_size)
                # For this example, you must reset here the value, otherwise you lose the reference of the cursor
                at_start = False
            elif inn == "b" and stage in [0, 2]:
                results, next_cursor, prev_cursor, at_start = fetch_previous_page(prev_cursor, page_size)
                # For this example, you must reset here the value, otherwise you lose the reference of the cursor
                at_end = False
            elif inn == "c":
                logger.warning("------- Canceling execution -------")
                break
            else:
                print("Not valid action, it can only move in the opposite direction.")
                continue
            logger.info(f"{results = }")
            logger.info(f"{next_cursor = }")
            logger.info(f"{prev_cursor = }")
            logger.info(f"{at_start = }")
            logger.info(f"{at_end = }")
    else:
        logger.warning("There is not more data to show")

We added validation to the users input to identify the stage where we are while traversing the data, also note that at_start and at_end after the execution of fetch_next_page and fetch_previous_page respectively which are needed to reset after reaching those limits. Now you can reach the end of the data and go backwards until the start. The validation after getting the first page of data was update to check if the flags at_start and at_end are True, which will indicate that there is no more data to show.

Note: I was facing a bug at this point which I cannot reproduce right now, but it was causing problems when going backward and reaching the start, the cursor was pointing to the wrong place and when you wanted to go forward it skip 1 element. To solve it I added a validation in fetch_previous_page if a parameter called prev_at_start (which is the previous value of at_start) to assing next_cursor the value results[0]['_id'] or, results[-1]['_id'] in case the previous stage was not at the beginning of the data. This will be ommited from now on, but I think is worth the mention.

Now that we can traverse the data from beginning to end and going forward or backward in it, we can create a class that have all this functions and call it to use the example. Also we must add the docstring so everything is documents correctly. The result of that are in this code:

"""Cursor Paging/Pagination Pattern Example."""
from bson.objectid import ObjectId
from datetime import datetime

from loguru import logger
from pymongo import MongoClient

class cursorPattern:
    """
    A class to handle cursor-based pagination for MongoDB collections.

    Attributes:
    -----------
    cursor_db : pymongo.collection.Collection
        The MongoDB collection used for pagination.
    page_size : int
        Size of the pages.

    """

    def __init__(self, page_size: int = 5) -> None:
        """Initializes the class.

        Sets up a connection to MongoDB and specifying 
        the collection to work with.

        """
        token = "mongodb://localhost:27017"
        client = MongoClient(token)
        self.cursor_db = client.cursor_db.content
        self.page_size = page_size

    def add_data(self,) -> None:
        """Inserts sample data into the MongoDB collection for demonstration purposes.

        Note:
        -----
        It should only use once, otherwise you will have repeated data.

        """
        sample_posts = [
            {"title": "Post 1", "content": "Content 1", "date": datetime(2023, 8, 1)},
            {"title": "Post 2", "content": "Content 2", "date": datetime(2023, 8, 2)},
            {"title": "Post 3", "content": "Content 3", "date": datetime(2023, 8, 3)},
            {"title": "Post 4", "content": "Content 4", "date": datetime(2023, 8, 4)},
            {"title": "Post 5", "content": "Content 5", "date": datetime(2023, 8, 5)},
            {"title": "Post 6", "content": "Content 6", "date": datetime(2023, 8, 6)},
            {"title": "Post 7", "content": "Content 7", "date": datetime(2023, 8, 7)},
            {"title": "Post 8", "content": "Content 8", "date": datetime(2023, 8, 8)},
            {"title": "Post 9", "content": "Content 9", "date": datetime(2023, 8, 9)},
            {"title": "Post 10", "content": "Content 10", "date": datetime(2023, 8, 10)},
            {"title": "Post 11", "content": "Content 11", "date": datetime(2023, 8, 11)},
        ]
        self.cursor_db.insert_many(sample_posts)

    def _fetch_next_page(
        self, cursor: ObjectId | None, page_size: int | None = None
    ) -> tuple[list, ObjectId | None, ObjectId | None, bool]:
        """Retrieves the next page of data based on the provided cursor.

        Parameters:
        -----------
        cursor : ObjectId | None
            The current cursor indicating the last document of the previous page.
        page_size : int | None
            The number of documents to retrieve per page (default is the class's page_size).

        Returns:
        --------
        tuple:
            - results (list): The list of documents retrieved.
            - next_cursor (ObjectId | None): The cursor pointing to the start of the next page, None in case is the last page.
            - prev_cursor (ObjectId | None): The cursor pointing to the start of the previous page, None in case is the start page.
            - at_end (bool): Whether this is the last page of results.
        """
        # Use the provided page_size or fallback to the class attribute
        page_size = page_size or self.page_size  

        # Check if there is a cursor
        if cursor:
            # Get documents with `_id` greater than the cursor
            query = {"_id": {'$gt': cursor}}
        else:
            # Get everything
            query = {}
        # Sort in ascending order by `_id`
        sort_order = 1 

        # Define the aggregation pipeline
        pipeline = [
            {"$match": query},  # Filter based on the cursor
            {"$sort": {"_id": sort_order}},  # Sort documents by `_id`
            {"$limit": page_size + 1},  # Limit results to page_size + 1 to check if there's a next page
            # {"$project": {"_id": 1, "title": 1, "content": 1}}  # In case you want to return only certain attributes
        ]

        # Execute the aggregation pipeline
        results = list(self.cursor_db.aggregate(pipeline))
        # logger.debug(results)

        # Validate if some data was found
        if not results: raise ValueError("No data found")

        # Check if there are more documents than the page size
        if len(results) > page_size:
            # Deleting extra document
            results.pop(-1)
            # Set the cursor for the next page
            next_cursor = results[-1]['_id']
            # Set the previous cursor
            if cursor:
                # in case the cursor have data
                prev_cursor = results[0]['_id']
            else:
                # In case the cursor don't have data (first time)
                prev_cursor = None
            # Indicate you haven't reached the end of the data
            at_end = False
        else:
            # Indicate that there are not more pages available (last page reached)
            next_cursor = None
            # Set the cursor for the previous page
            prev_cursor = results[0]['_id']
            # Indicate you have reached the end of the data
            at_end = True
        return results, next_cursor, prev_cursor, at_end

    def _fetch_previous_page(
        self, cursor: ObjectId | None, page_size: int | None = None, 
    ) -> tuple[list, ObjectId | None, ObjectId | None, bool]:
        """Retrieves the previous page of data based on the provided cursor.

        Parameters:
        -----------
        cursor : ObjectId | None
            The current cursor indicating the first document of the current page.
        page_size : int
            The number of documents to retrieve per page.
        prev_at_start : bool
            Indicates whether the previous page was the first page.

        Returns:
        --------
        tuple:
            - results (list): The list of documents retrieved.
            - next_cursor (ObjectId | None): The cursor pointing to the start of the next page, None in case is the last page.
            - prev_cursor (ObjectId | None): The cursor pointing to the start of the previous page, None in case is the start page.
            - at_start (bool): Whether this is the first page of results.
        """
        # Use the provided page_size or fallback to the class attribute
        page_size = page_size or self.page_size  

        # Check if there is a cursor
        if cursor:
            # Get documents with `_id` less than the cursor
            query = {'_id': {'$lt': cursor}}
        else:
            # Get everything
            query = {}
        # Sort in descending order by `_id`
        sort_order = -1  

        # Define the aggregation pipeline
        pipeline = [
            {"$match": query},  # Filter based on the cursor
            {"$sort": {"_id": sort_order}},  # Sort documents by `_id`
            {"$limit": page_size + 1},  # Limit results to page_size + 1 to check if there's a next page
            # {"$project": {"_id": 1, "title": 1, "content": 1}}  # In case you want to return only certain attributes
        ]

        # Execute the aggregation pipeline
        results = list(self.cursor_db.aggregate(pipeline))

        # Validate if some data was found
        if not results: raise ValueError("No data found")

        # Check if there are more documents than the page size
        if len(results) > page_size:
            # Deleting extra document
            results.pop(-1)
            # Reverse the results to maintain the correct order
            results.reverse()
            # Set the cursor for the previous page
            prev_cursor = results[0]['_id']
            # Set the cursor for the next page
            next_cursor = results[-1]['_id']
            # Indicate you are not at the start of the data
            at_start = False
        else:
            # Reverse the results to maintain the correct order
            results.reverse()
            # Indicate that there are not more previous pages available (initial page reached)
            prev_cursor = None
            # if prev_at_start:
            #     # in case before was at the starting page
            #     logger.warning("Caso 1")
            #     next_cursor = results[0]['_id']
            # else:
            #     # in case before was not at the starting page
            #     logger.warning("Caso 2")
            #     next_cursor = results[-1]['_id']
            next_cursor = results[-1]['_id']
            # Indicate you have reached the start of the data
            at_start = True
        return results, next_cursor, prev_cursor, at_start

    def start_pagination(self):
        """Inicia la navegacion de datos."""
        # Change page size in case you want it, only leave it here for reference
        page_size = None
        # Retrieve the first page of results
        results, next_cursor, prev_cursor, at_end = self._fetch_next_page(None, page_size)
        at_start = True
        logger.info(f"{results = }")
        logger.info(f"{next_cursor = }")
        logger.info(f"{prev_cursor = }")
        logger.info(f"{at_start = }")
        logger.info(f"{at_end = }")
        # if next_cursor:
        if not(at_start and at_end):
            while(True):
                print(125 * "*")
                if at_end:
                    inn = input("Can only move Backward (b) or Cancel (c): ")
                    stage = 0
                    # =====================================================
                    # You could reset at_end here, but in this example that
                    # will fail in case the user sends something different
                    # from Backward (b) or Cancel (c)
                    # =====================================================
                    # at_end = False
                elif at_start:
                    inn = input("Can only move Forward (f) or Cancel (c): ")
                    stage = 1
                    # =====================================================
                    # You could reset at_end here, but in this example that
                    # will fail in case the user sends something different
                    # from Forward (f) or Cancel (c)
                    # =====================================================
                    # at_start = False
                else:
                    inn = input("Can move Forward (f), Backward (b), or Cancel (c): ")
                    stage = 2

                # Execute action acording to the input
                if inn == "f" and stage in [1, 2]:
                    results, next_cursor, prev_cursor, at_end = self._fetch_next_page(next_cursor, page_size)
                    # For this example, you must reset here the value, otherwise you lose the reference of the cursor
                    at_start = False
                elif inn == "b" and stage in [0, 2]:
                    # results, next_cursor, prev_cursor, at_start = self._fetch_previous_page(prev_cursor, at_start, page_size)
                    results, next_cursor, prev_cursor, at_start = self._fetch_previous_page(prev_cursor, page_size)
                    # For this example, you must reset here the value, otherwise you lose the reference of the cursor
                    at_end = False
                elif inn == "c":
                    logger.warning("------- Canceling execution -------")
                    break
                else:
                    print("Not valid action, it can only move in the opposite direction.")
                    continue
                logger.info(f"{results = }")
                logger.info(f"{next_cursor = }")
                logger.info(f"{prev_cursor = }")
                logger.info(f"{at_start = }")
                logger.info(f"{at_end = }")
        else:
            logger.warning("There is not more data to show")

@logger.catch
def main():
    """Main function."""
    my_cursor = cursorPattern(page_size=5)
    # my_cursor.add_data()
    my_cursor.start_pagination()

if __name__:
    main()
    logger.info("--- Execution end ---")

The page_size was added as an attribute to the class cursorPattern for it to be easier to define the size of every page and added docstrings to the class and its methods.

Hope this will help/guide someone that needs to implement Cursor Pagination.

Best practice for starting with python in VSC?

antusystem — Fri, 28 Jan 2022 00:45:49 +0000

Hi, I would like to ask for your recommendation about coding in Python, mainly with VSC. I have time coding, but "never" that serious; now, I want to do it like it should be. I have read several Python standards but I have some doubts mainly in Linting, Testing, Virtuals Environments, and Docstrings. I have find some good extensions in VSC marketplace and (to me) the more relevant are installed with Python Official Extension.

Linting

I was reading about linting here and found several Linters for Python, before that I was using the only one I knew, Flake8. Now, I believe I will switch to Pylama (which has all from Flake8) with Bandit. Both of them are supported in the Python Official Extension by VSC, so I don't know if some knows an argument that will improve the use of both of them. Or if another extension is better to use them both.

I don't like that much code formatting, I feel like it causes more trouble when it changes things

Testing

I have little experience with test and I have only use the unittest, but reading here I believe Pytest is far more complete, should I change to it?

A "basic" test extension is installed with Python Official Extension from VSC, but I don't know if there are better extensions for this. I supposse it is compatible with unittest, pytest and nose. What I don't is how to do test in several Python version with VSC, I believe is a good practice, but I don't know if I must have installed all the other python's versions to do this.

Virtual Environments

I know VSC let you have at least 1 virtual environment but I don't know if I can have a venv for each folder (different projects but same workspace) without me changing it manually every time. Maybe is better to have a workspace from each project in this case?

Also, I don't know if I should use pyenv or venv to create the environment, their differences so far seems meaningless to me. I know that you can create conda environments too, but I have never done it, and VSC supports it. Maybe there is good extension for this, I don't trust the ones I have found yet.

Docstrings

I use the Numpy format, which is in the Python Official Extension, I complement this with Python Type Hint to write better documentation in my code. I don't think there is another extension that can help me to document my code.

Well, I know I might be asking for a lot, but I have read about it on my own, so I needed someone else's recommendation for this. Thanks for your help.

DEV Community: antusystem

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