Namespace package for api_24sea.ai, as indicated by PEP 420.
Project description
api-24sea-ai
api-24sea-ai is an extension package for API-24SEA that provides tools to interact with the AI models hosted on the 24SEA platform.
Installation
The package supports Python [3.8:3.12). To install it, run the following command in your terminal:
pip install api-24sea-ai
Importing the package
# %%
# **Package Imports**
# - From the Python Standard Library
import logging
import os
import sys
# - From third party libraries
import pandas as pd
import dotenv # <-- Not necessary to api-24sea-ai per se, but useful for
# loading environment variables. Install it with
# `pip install python-dotenv`
# - Local imports
from api_24sea.ai.version import __version__, parse_version
# %%
# **Package Versions**
print("Working Folder: ", os.getcwd())
print(f"Python Version: {sys.version}")
print(f"Pandas Version: {pd.__version__}")
print(f"Package {parse_version(__version__)}")
# **Notebook Configuration**
logging.basicConfig(level=logging.INFO)
Setting up the environment variables (optional)
This step assumes that you have a file structure similar to the following one:
.
├── env
│ └── .env
├── notebooks
│ └── example.ipynb
└── requirements.txt
The [.env]{.title-ref} file should look like this:
API_24SEA_USERNAME=your_value
API_24SEA_PASSWORD=your_value
With this in mind, the following code snippet shows how to load the environment variables from the [.env]{.title-ref} file:
# %%
# **Load Environment Variables from .env File**
_ = dotenv.load_dotenv("../env/.env")
if _:
print("Environment Variables Loaded Successfully")
print(os.getenv("API_24SEA_USERNAME"))
print(os.getenv("API_24SEA_PASSWORD"))
else:
raise Exception("Environment Variables Not Loaded")
print("Environment Variables Loaded Successfully")
print(os.getenv("API_24SEA_USERNAME"))
# print(os.getenv("API_24SEA_PASSWORD")) # <-- Avoid printing sensitive info
else:
raise Exception("Environment Variables Not Loaded")
###Performing AI model predictions
# %%
# **Authenticating AI Client and Viewing Models Overview**
from api_24sea.ai.core import AsyncAPI
api = AsyncAPI()
api.authenticate() # <-- Ensure that the environment variables are set
api.models_overview # <-- View the models overview
# %%
# **Making Predictions**
api.get_predictions(
sites="WF",
locations="A01",
model="mean_WF_A01_some_ai_model",
start_timestamp="2020-03-01",
end_timestamp="2020-06-01",
).head()
Project Structure
.
├── .azure/
├── .github/
├── docs/
├── api-24sea/
│ └── ai/
│ ├── __init__.py
│ ├── core.py
│ ├── schemas.py
│ ├── utils.py
│ └── version.py
├── notebooks/
├── tasks/
├── tests/
├── .flake8
├── .gitignore
├── .pre-commit-config.yaml
├── .pylintrc
├── .bitbucket-pipelines.yml
├── bumpversion.py
├── invoke.yaml
├── pyproject.toml
├── README.md
├── VERSION
└── LICENSE
License
The package is licensed under the GNU General Public License v3.0.
Project details
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