import csv
from typing import Dict, List

def _match_record(pattern: Dict[str, str], item: Dict[str, str]) -> float:
    return all(k in item and item[k]==val for k, val in pattern.items())

def check_csv(result: str, rules: Dict[str, List[Dict[str, str]]]) -> float:
    """
    Args:
        result (str): path to csv file
        rules (Dict[str, List[Dict[str, str]]]): dict like
          {
            "expect": [{key: value}]
            "unexpect": [{key: value}]
          }

    Returns:
        float
    """

    expect_metrics = [False] * len(rules.get("expect", []))
    unexpect_metric = True
    with open(result) as f:
        reader = csv.DictReader(f)
        
        for rcd in reader:
            for i, r in enumerate(rules.get("expect", [])):
                expect_metrics[i] = expect_metrics[i] or _match_record(r, rcd)
            unexpect_metric = unexpect_metric and all(_match_record(r, rcd) for r in rules.get("unexpect", []))
    return float(all(expect_metrics) and unexpect_metric)