"""Write your solution in this file.

You can execute and test your answer by pressing 'Try Answer' in the side panel,
or by running `python test_answer.py <test_case_path>` on the command line.

For example:
    python test_answer.py inputs/large.json
"""


def analyze_requests(log_path):
    """Implement your solution here.

    Arguments:
        log_path: String with path of Nginx access logfile.

    Returns:
        A list of strings, representing the URLs with the largest average processing time.
    """

    lines = []
    with open(log_path) as fp:
        line = fp.readline()

        while line:
            lines.append(line.strip())
            line = fp.readline()

    requests = []
    for line in lines:
        requests.append([line.split(' ')[6], float(line.split(' ')[-1])])

    counts = {}
    for req in requests:
        if req[0] in counts:
            counts[req[0]] += 1
        else:
            counts[req[0]] = 1

    duration = {}
    for req in requests:
        if req[0] in duration:
            duration[req[0]] += req[1]
        else:
            duration[req[0]] = req[1]

    avg_time = {}
    for k1 in counts:
        for k2 in duration:
            if k1 == k2:
                avg_time[k1] = duration[k1]/counts[k1]

    sorted_avg_time = sorted(avg_time.items(), key=lambda x:x[1], reverse=True)

    results = []
    for i in range(15):
        results.append(sorted_avg_time[i][0])

    return results