AIdevs2

Small helper lib/app to make AIdevs nicer

Design

Each solution has it's own file that should implement one and only one function (no typing in return as we don't know what will be the future):

The filename is a task name followed by .py and stored in the solutions directory.

def get_answer(task_details_response: dict):
    answer = None

    # Do whatever it takes to give answer for a given task info

    return answer

Usage

Couple of examples:

# Create and activate .venv && install deps
$ python -m venv .venv
$ source .venv/bin/activate
$ pip install -r requirements.txt

# Export your API_KEY:
$ export AIDEVS_API_KEY=<your API Key>

# For tasks that require OpenAI API Key:
$ export AIDEVS_OPENAI_API_KEY=<your OpenAI API Key>

# Get the task details
$ python main.py -q <task_name>
 # Example
 $ python main.py -q helloapi

# If the task doesn't have endpoint API it also has the option
# to be resolved by talking to OpenAI endpoint, use local flag, example:
$ python main.py -q lesson_3_task_2 -l

# Use solutions/<task_name>.py to sent an answer
$ python main.py -q <task_name> -s
  # Example
  $ python main.py -q helloapi -s

# Use solutions/<task_name>.py to sent an answer, but with using
# cache file which stores token, example:
$ python main.py -q helloapi
$ python main.py -s # max 180s after previous

# Manually provide an answer to a previous task
$ python main.py -q helloapi
  >  INFO:lib.aidevutils:Success response: 
  >	{'code': 0, 'msg': 'please return value of "cookie" field as answer', 'cookie': 'aidevs_494d129d'}
$ python main.py -a aidevs_494d129d # max 180s after previous


# Enable debug, just use -d flag
$ python main.py -q helloapi -d