"""Library of the project."""
# pylint: disable=wrong-import-position

# %% IMPORTS

__import__("pysqlite3")

import functools
import os
import sys

# https://docs.trychroma.com/troubleshooting#sqlite
sys.modules["sqlite3"] = sys.modules.pop("pysqlite3")

import chromadb
import openai
import tiktoken
from chromadb.utils import embedding_functions

# %% CONFIGS

DATABASE_COLLECTION = "resume"
DATABASE_PATH = "database"

EMBEDDING_MODEL = "text-embedding-ada-002"

ENCODING_NAME = "cl100k_base"
ENCODING_OUTPUT_LIMIT = 8191

MODEL_NAME = "gpt-3.5-turbo-16k"
MODEL_INPUT_LIMIT = 16_385
MODEL_TEMPERATURE = 0.9

OPENAI_API_KEY = os.environ["OPENAI_API_KEY"]

# %% TYPINGS

Collection = chromadb.Collection

# %% FUNCTIONS


def get_language_model(
    model: str = MODEL_NAME,
    api_key: str = OPENAI_API_KEY,
    temperature: float = MODEL_TEMPERATURE,
) -> openai.ChatCompletion:
    """Get an OpenAI ChatCompletion model."""
    openai.api_key = api_key  # configure the API key globally
    return functools.partial(
        openai.ChatCompletion.create, model=model, temperature=temperature
    )


def get_database_client(path: str) -> chromadb.API:
    """Get a persistent client to the Chroma DB."""
    settings = chromadb.Settings(allow_reset=True, anonymized_telemetry=False)
    return chromadb.PersistentClient(path=path, settings=settings)


def get_encoding_function(encoding_name: str = ENCODING_NAME) -> tiktoken.Encoding:
    """Get the encoding function for OpenAI models."""
    return tiktoken.get_encoding(encoding_name=encoding_name).encode


def get_embedding_function(
    model_name: str = EMBEDDING_MODEL, api_key: str = OPENAI_API_KEY
) -> embedding_functions.EmbeddingFunction:
    """Get the embedding function for Chroma DB collections."""
    return embedding_functions.OpenAIEmbeddingFunction(
        model_name=model_name, api_key=api_key
    )