import os
from typing import Dict

from joj3_config_generator.models import answer, joj1, repo, result, task
from joj3_config_generator.models.const import ACTOR_CSV_PATH, JOJ3_LOG_PATH
from joj3_config_generator.transformers.answer import get_task_conf_from_answers
from joj3_config_generator.transformers.joj1 import get_task_conf_from_joj1
from joj3_config_generator.transformers.repo import (
    get_health_check_stage,
    get_teapot_stage,
)
from joj3_config_generator.transformers.task import get_conf_stage


def create_joj3_task_conf(answers: answer.Answers) -> task.Config:
    return get_task_conf_from_answers(answers)


def convert_joj1_conf(joj1_conf: joj1.Config) -> task.Config:
    return get_task_conf_from_joj1(joj1_conf)


def convert_joj3_conf(repo_conf: repo.Config, task_conf: task.Config) -> result.Config:
    # Create the base ResultConf object
    result_conf = result.Config(
        name=task_conf.task.name,
        # exact folder difference specified by type
        log_path=str(JOJ3_LOG_PATH),
        expire_unix_timestamp=int(task_conf.release.end_time.timestamp()),
        effective_unix_timestamp=int(task_conf.release.begin_time.timestamp()),
        actor_csv_path=str(ACTOR_CSV_PATH),  # students.csv position
        max_total_score=repo_conf.max_total_score,
        stage=result.Stage(sandbox_token=repo_conf.sandbox_token),
    )

    current_test = os.environ.get("PYTEST_CURRENT_TEST") is not None
    # Construct health check stage
    if not repo_conf.force_skip_health_check_on_test or not current_test:
        result_conf.stage.stages.append(get_health_check_stage(repo_conf))
    cached: Dict[str, None] = {}
    # Convert each stage in the task configuration
    for task_stage in task_conf.stages:
        result_conf.stage.stages.append(get_conf_stage(task_conf, task_stage, cached))
    if not repo_conf.force_skip_teapot_on_test or not current_test:
        result_conf.stage.post_stages.append(get_teapot_stage(repo_conf))

    return result_conf