from typing import List, Dict
from pathlib import Path
import csv

REQUIRED_KEYS=["date", "time", "field", "visitor", "home"]

def validate_keys(header: List[str]) -> bool:
    required_keys = REQUIRED_KEYS
    return all(key in header for key in required_keys)

def write_sportspress_csv(data: List[Dict], file: Path, only_with_outcome:bool = False):
    """
    Writes sports event data to a CSV file in a specific format.

    Parameters:
    - data (List[Dict]): List of dictionaries where each dictionary represents a sports event.
    - file_path (Path): The Path object representing the file path where the CSV file will be created.
    - only_with_outcome (bool, optional): If True, only events with outcomes will be included in the CSV. Default is False.

    Returns:
    None

    Example:
    >>> data = [...]  # List of dictionaries representing sports events
    >>> file_path = Path("output.csv")
    >>> write_sportspress_csv(data, file_path)
    """

    header = data[0].keys()

    if not validate_keys(header):
        raise KeyError(f"Missing Keys. Requires: {REQUIRED_KEYS}, provided: {list(header)}")

    writer = csv.writer(file)

    fieldnames = [
        "Format", #Competitive or Friendly
        # "Competition",
        "Season",
        # "Date Format",
        "Date",
        "Time",
        "Venue",
        "Team",
        "Results",
        "Outcome",
        # "Players",
        # "Performance",
    ]

    # Write the header
    writer.writerow(fieldnames)

    # Write the data
    for row in data:
        if only_with_outcome and not row.get('has_result'):
            continue
        writer.writerow(
            [
                row["datetime"].strftime("%Y/%m/%d"),
                row["datetime"].strftime("%H:%M"),
                row.get("field", ""),
                row["home"],
                "|".join([str(row.get(k,"")) for k in [ 
                    "home_runs_for_inning_1",
                    "home_runs_for_inning_2",
                    "home_runs_for_inning_3",
                    "home_runs_for_inning_4",
                    "home_runs_for_inning_5",
                    "home_runs_for_inning_6",
                    "home_runs_for_inning_7",
                    "home_runs_for_inning_8",
                    "home_runs_for_inning_9",
                    "home_runs_for_inning_10",
                    "home_runs_for",
                    "home_errors",
                    "home_hits"
                ]]),
                row.get("home_outcome")
                ]
            )
        writer.writerow(
            [
                "",
                "",
                "",
                row["visitor"],
                "|".join([str(row.get(k,"")) for k in [ 
                    # "visitor_runs_for_inning_1",
                    # "visitor_runs_for_inning_2",
                    # "visitor_runs_for_inning_3",
                    # "visitor_runs_for_inning_4",
                    # "visitor_runs_for_inning_5",
                    # "visitor_runs_for_inning_6",
                    # "visitor_runs_for_inning_7",
                    # "visitor_runs_for_inning_8",
                    # "visitor_runs_for_inning_9",
                    # "visitor_runs_for_inning_10",
                    "visitor_runs_for",
                    "visitor_errors",
                    "visitor_hits"
                ]]),
                row.get("visitor_outcome")
                ]
            )