#!/usr/bin/env python
from __future__ import print_function

from collections import defaultdict
from typing import Any, Dict, Iterable
import ujson

def analyze_url_coverage():
    # type: () -> None
    fn = 'var/url_coverage.txt' # TODO: make path more robust, maybe use json suffix
    calls = []
    for line in open(fn):
        calls.append(ujson.loads(line))

    show_slow_endpoints(calls)
    show_best_coverage(calls)
    show_which_tests_ran_endpoints(calls)

def show_slow_endpoints(calls):
    # type: (Iterable[Dict[str, Any]]) -> None
    tups = []
    for call in calls:
        tups.append((call['delay'], call['url'], call['method']))

    tups.sort(reverse=True)

    num = 10
    print('%d slowest endpoints' % (num,))

    for delay, url, method in tups[:num]:
        print('%.03f %s %s' % (delay, url, method))

    print()

def show_best_coverage(calls):
    # type: (Iterable[Dict[str, Any]]) -> None
    count = defaultdict(int) # type: Dict[str, int]

    for call in calls:
        count[call['url']] += 1

    counts = [(v, k) for k, v in count.items()]
    counts.sort(reverse=True)
    num = 10

    print('%d best covered endpoints' % (num,))
    for cnt, url in counts[:num]:
        print('%3d %s' % (cnt, url))

    print()

def show_which_tests_ran_endpoints(calls):
    # type: (Iterable[Dict[str, Any]]) -> None
    test_name_dct = defaultdict(list) # type: Dict[str, List[str]]

    for call in calls:
        url = call['url']
        test_name_dct[url].append(call['test_name'])

    for k in sorted(test_name_dct):
        print(k)
        for test_name in sorted(test_name_dct[k]):
            print('    %s' % (test_name,))
        print()

    print()

if __name__ == '__main__':
    analyze_url_coverage()