from dotenv import load_dotenv
from .fetchers import fetch_oesm_data, fetch_epoch_remote_data, fetch_onet_database
from .enrichments import enrich_with_task_estimateability, enrich_with_task_estimates
from .postprocessors import check_for_insanity, create_df_tasks
from .generators import GENERATORS
from .run import Run
from .constants import GRAY
import seaborn as sns
import matplotlib as mpl
from pathlib import Path
from typings import Optional

def run(output_dir: Optional[str] = None):
    if output_dir is None:
        output_dir = Path(".")

    load_dotenv()
    _setup_graph_rendering()

    current_run = Run()

    # Fetchers (fetchers.py)
    current_run.onet_conn, current_run.onet_version = fetch_onet_database(current_run.meta)
    current_run.oesm_df, current_run.oesm_version = fetch_oesm_data(current_run.meta)
    current_run.epoch_df, current_run.epoch_version = fetch_epoch_remote_data(current_run.meta)

    # Enrichments (enrichments.py)
    current_run.task_estimateability_df = enrich_with_task_estimateability(current_run)
    current_run.task_estimates_df = enrich_with_task_estimates(current_run)

    # Postprocessors (postprocessors.py)
    create_df_tasks(current_run)
    check_for_insanity(current_run)

    # Generators (generators/)
    for gen in GENERATORS:
        gen(current_run, output_dir)


def _setup_graph_rendering():
    mpl.rcParams.update({
        'figure.facecolor' : GRAY['50'],
        'axes.facecolor'   : GRAY['50'],
        'axes.edgecolor'   : GRAY['100'],
        'axes.labelcolor'  : GRAY['700'],
        'xtick.color'      : GRAY['700'],
        'ytick.color'      : GRAY['700'],
        'font.family'      : 'Inter',
        'font.size'        : 11,
    })


    sns.set_style("white")