I am making an app that needs to be extremely lightweight, but it would be pretty convenient if it could somehow use my massive list of user agents.
I have 3 options for what i see:
1. I make an api that hands out x ammount of user agents when needed
2. I hardcode a very small list into the actual program
3. I download the list on install and store it somewhere, what do you think would be the best? I think the api would be since I dont need so many user agents at a time and I’d rather not store them on their computer.
Considering that you want your app to be extremely lightweight, using an API to fetch user agents when needed would likely be the best option. This approach avoids storing a large list of user agents directly in your app, thereby reducing the app’s size.

Here’s how you can implement this approach:

1. Set up an API that can deliver a predetermined number of user agents when requested.
2. In your app, when you need a user agent, make an API request to obtain the desired number of user agents.
3. Utilize the received user agents in your app’s functionality.

By using this method, you can manage the user agents externally and only fetch the required number when needed. This approach allows you to keep your app lightweight while still being able to utilize your massive list of user agents.

Please note that API implementation requires additional development effort and server maintenance. So, consider the trade-offs and choose the best option based on your app’s requirements and constraints.
write a very fast api in python that will read 50 user agents from a text file (new line seperated) and return it.
I want you to make it as optimized as possible as thousands of users are gonna use this at once due to the design of the app.
Certainly! Here’s an example of a fast and optimized Python API that reads 50 user agents from a text file and returns them:


from flask import Flask

app = Flask(name)

@app.route(‘/get_user_agents’)
def get_user_agents():
    user_agents = []
    with open(‘user_agents.txt’, ‘r’) as file:
        for _ in range(50):
            user_agent = file.readline().strip()  # Read each line and remove the trailing newline
            if not user_agent:
                break  # In case the file contains fewer than 50 user agents
            user_agents.append(user_agent)
    return {‘user_agents’: user_agents}

if name == ‘main’:
    app.run()



In this example, we use the Flask framework to create a simple API endpoint /get_user_agents. The API reads user agents from a file named user_agents.txt (where each user agent is listed on a new line) and returns the first 50 user agents found.

Now, as for optimization:

1. By using Flask, a lightweight web framework, we ensure that the API is minimalistic and efficient.
2. We read the file line by line instead of loading the entire file into memory. This minimizes resource usage, especially if the file is large.
3. We limit the loop to read only 50 lines from the file, ensuring that even if the file contains more user agents, we only retrieve the necessary amount.
4. The user agents are stored in a list and returned in a JSON format, making it easy to retrieve and process for the app.

Remember to have the user_agents.txt file in the same directory as the Python script or provide the correct file path.
You can run this script to start the API by executing python script_name.py (replace script_name.py with the actual filename).
Make sure to install Flask by running pip install flask in your Python environment before executing the script.
is it possible to keep the file open 24/7 for most speed?

the only function for this api is just to do this so why not?
Yes, it is possible to keep the file open 24/7 to optimize the speed further. By keeping the file open, you eliminate the need to open and close the file for each API request, resulting in potential performance improvements.

Here’s an updated version of the API that keeps the file open:


from flask import Flask

app = Flask(name)

with open(‘user_agents.txt’, ‘r’) as file:
    user_agents = [line.strip() for line in file.readlines()]  # Read all user agents at once

@app.route(‘/get_user_agents’)
def get_user_agents():
    return {‘user_agents’: user_agents[:50]}  # Slice the first 50 user agents

if name == ‘main’:
    app.run()



In this version, the file is opened and read once when the API starts. The user agents are stored in a list user_agents accessible to the endpoint /get_user_agents. Each time this endpoint is called, it returns the first 50 user agents from the list.

By keeping the file open, you avoid the overhead of opening and reading the file for every request, which can improve the speed of your API. However, it’s important to note that the file won’t dynamically update if the user agents change during the execution of the API. If you need the file to update dynamically, you would need to implement a mechanism to detect and reload the file when it changes.

seems resiliant ennough as it seemed to do good under 30k rps traffic. t his was on my own pc so lets hope it doesnt collapse when deployed on a real machine