#!/usr/bin/env python3

# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.

import argparse
from functools import partial, reduce
import json
import operator
import os
import random
import string
from thclient import (TreeherderClient, TreeherderResultSetCollection,
                      TreeherderJobCollection)
import time

from runner import format_result_summary


def geometric_mean(iterable):
        filtered = list(filter(lambda x: x > 0, iterable))
        return (reduce(operator.mul, filtered)) ** (1.0 / len(filtered))


def format_testcase_name(name):
    temp = name.replace('http://localhost:8000/page_load_test/', '')
    temp = temp.replace('http://localhost:8000/tp6/', '')
    temp = temp.split('/')[0]
    temp = temp[0:80]
    return temp


def format_perf_data(perf_json, engine='servo'):
    suites = []
    measurement = "domComplete"  # Change this to an array when we have more

    def get_time_from_nav_start(timings, measurement):
        return timings[measurement] - timings['navigationStart']

    measurementFromNavStart = partial(get_time_from_nav_start,
                                      measurement=measurement)

    if (engine == 'gecko'):
        name = 'gecko.{}'.format(measurement)
    else:
        name = measurement

    suite = {
        "name": name,
        "value": geometric_mean(map(measurementFromNavStart, perf_json)),
        "subtests": []
    }
    for testcase in perf_json:
        if measurementFromNavStart(testcase) < 0:
            value = -1
            # print('Error: test case has negative timing. Test timeout?')
        else:
            value = measurementFromNavStart(testcase)

        suite["subtests"].append({
            "name": format_testcase_name(testcase["testcase"]),
            "value": value
        })

    suites.append(suite)

    return {
        "performance_data": {
            # https://bugzilla.mozilla.org/show_bug.cgi?id=1271472
            "framework": {"name": "servo-perf"},
            "suites": suites
        }
    }


def create_resultset_collection(dataset):
    print("[DEBUG] ResultSet Collection:")
    print(dataset)
    trsc = TreeherderResultSetCollection()

    for data in dataset:
        trs = trsc.get_resultset()

        trs.add_push_timestamp(data['push_timestamp'])
        trs.add_revision(data['revision'])
        trs.add_author(data['author'])
        # TODO: figure out where type is used
        # trs.add_type(data['type'])

        revisions = []
        for rev in data['revisions']:
            tr = trs.get_revision()

            tr.add_revision(rev['revision'])
            tr.add_author(rev['author'])
            tr.add_comment(rev['comment'])
            tr.add_repository(rev['repository'])

            revisions.append(tr)
        trs.add_revisions(revisions)

        trsc.add(trs)

    return trsc


def create_job_collection(dataset):
    print("[DEBUG] Job Collection:")
    print(dataset)

    tjc = TreeherderJobCollection()

    for data in dataset:
        tj = tjc.get_job()

        tj.add_revision(data['revision'])
        tj.add_project(data['project'])
        tj.add_coalesced_guid(data['job']['coalesced'])
        tj.add_job_guid(data['job']['job_guid'])
        tj.add_job_name(data['job']['name'])
        tj.add_job_symbol(data['job']['job_symbol'])
        tj.add_group_name(data['job']['group_name'])
        tj.add_group_symbol(data['job']['group_symbol'])
        tj.add_description(data['job']['desc'])
        tj.add_product_name(data['job']['product_name'])
        tj.add_state(data['job']['state'])
        tj.add_result(data['job']['result'])
        tj.add_reason(data['job']['reason'])
        tj.add_who(data['job']['who'])
        tj.add_tier(data['job']['tier'])
        tj.add_submit_timestamp(data['job']['submit_timestamp'])
        tj.add_start_timestamp(data['job']['start_timestamp'])
        tj.add_end_timestamp(data['job']['end_timestamp'])
        tj.add_machine(data['job']['machine'])

        tj.add_build_info(
            data['job']['build_platform']['os_name'],
            data['job']['build_platform']['platform'],
            data['job']['build_platform']['architecture']
        )

        tj.add_machine_info(
            data['job']['machine_platform']['os_name'],
            data['job']['machine_platform']['platform'],
            data['job']['machine_platform']['architecture']
        )

        tj.add_option_collection(data['job']['option_collection'])

        for artifact_data in data['job']['artifacts']:
            tj.add_artifact(
                artifact_data['name'],
                artifact_data['type'],
                artifact_data['blob']
            )
        tjc.add(tj)

        return tjc


# TODO: refactor this big function to smaller chunks
def submit(perf_data, failures, revision, summary, engine):

    print("[DEBUG] failures:")
    print(list(map(lambda x: x['testcase'], failures)))

    author = "{} <{}>".format(revision['author']['name'],
                              revision['author']['email'])

    dataset = [
        {
            # The top-most revision in the list of commits for a push.
            'revision': revision['commit'],
            'author': author,
            'push_timestamp': int(revision['author']['timestamp']),
            'type': 'push',
            # a list of revisions associated with the resultset. There should
            # be at least one.
            'revisions': [
                {
                    'comment': revision['subject'],
                    'revision': revision['commit'],
                    'repository': 'servo',
                    'author': author
                }
            ]
        }
    ]

    trsc = create_resultset_collection(dataset)

    result = "success"
    # TODO: verify a failed test won't affect Perfherder visualization
    # if len(failures) > 0:
    #     result = "testfailed"

    hashlen = len(revision['commit'])
    job_guid = ''.join(
        random.choice(string.ascii_letters + string.digits) for i in range(hashlen)
    )

    if (engine == "gecko"):
        project = "servo"
        job_symbol = 'PLG'
        group_symbol = 'SPG'
        group_name = 'Servo Perf on Gecko'
    else:
        project = "servo"
        job_symbol = 'PL'
        group_symbol = 'SP'
        group_name = 'Servo Perf'

    dataset = [
        {
            'project': project,
            'revision': revision['commit'],
            'job': {
                'job_guid': job_guid,
                'product_name': project,
                'reason': 'scheduler',
                # TODO: What is `who` for?
                'who': 'Servo',
                'desc': 'Servo Page Load Time Tests',
                'name': 'Servo Page Load Time',
                # The symbol representing the job displayed in
                # treeherder.allizom.org
                'job_symbol': job_symbol,

                # The symbol representing the job group in
                # treeherder.allizom.org
                'group_symbol': group_symbol,
                'group_name': group_name,

                # TODO: get the real timing from the test runner
                'submit_timestamp': str(int(time.time())),
                'start_timestamp': str(int(time.time())),
                'end_timestamp': str(int(time.time())),

                'state': 'completed',
                'result': result,  # "success" or "testfailed"

                'machine': 'local-machine',
                # TODO: read platform from test result
                'build_platform': {
                    'platform': 'linux64',
                    'os_name': 'linux',
                    'architecture': 'x86_64'
                },
                'machine_platform': {
                    'platform': 'linux64',
                    'os_name': 'linux',
                    'architecture': 'x86_64'
                },

                'option_collection': {'opt': True},

                # jobs can belong to different tiers
                # setting the tier here will determine which tier the job
                # belongs to.  However, if a job is set as Tier of 1, but
                # belongs to the Tier 2 profile on the server, it will still
                # be saved as Tier 2.
                'tier': 1,

                # the ``name`` of the log can be the default of "buildbot_text"
                # however, you can use a custom name.  See below.
                # TODO: point this to the log when we have them uploaded to S3
                'log_references': [
                    {
                        'url': 'TBD',
                        'name': 'test log'
                    }
                ],
                # The artifact can contain any kind of structured data
                # associated with a test.
                'artifacts': [
                    {
                        'type': 'json',
                        'name': 'performance_data',
                        # TODO: include the job_guid when the runner actually
                        # generates one
                        # 'job_guid': job_guid,
                        'blob': perf_data
                    },
                    {
                        'type': 'json',
                        'name': 'Job Info',
                        # 'job_guid': job_guid,
                        "blob": {
                            "job_details": [
                                {
                                    "content_type": "raw_html",
                                    "title": "Result Summary",
                                    "value": summary
                                }
                            ]
                        }
                    }
                ],
                # List of job guids that were coalesced to this job
                'coalesced': []
            }
        }
    ]

    tjc = create_job_collection(dataset)

    # TODO: extract this read credential code out of this function.
    cred = {
        'client_id': os.environ['TREEHERDER_CLIENT_ID'],
        'secret': os.environ['TREEHERDER_CLIENT_SECRET']
    }

    client = TreeherderClient(server_url='https://treeherder.mozilla.org',
                              client_id=cred['client_id'],
                              secret=cred['secret'])

    # data structure validation is automatically performed here, if validation
    # fails a TreeherderClientError is raised
    client.post_collection('servo', trsc)
    client.post_collection('servo', tjc)


def main():
    parser = argparse.ArgumentParser(
        description=("Submit Servo performance data to Perfherder. "
                     "Remember to set your Treeherder credential as environment"
                     " variable \'TREEHERDER_CLIENT_ID\' and "
                     "\'TREEHERDER_CLIENT_SECRET\'"))
    parser.add_argument("perf_json",
                        help="the output json from runner")
    parser.add_argument("revision_json",
                        help="the json containing the servo revision data")
    parser.add_argument("--engine",
                        type=str,
                        default='servo',
                        help=("The engine to run the tests on. Currently only"
                              " servo and gecko are supported."))
    args = parser.parse_args()

    with open(args.perf_json, 'r') as f:
        result_json = json.load(f)

    with open(args.revision_json, 'r') as f:
        revision = json.load(f)

    perf_data = format_perf_data(result_json, args.engine)
    failures = list(filter(lambda x: x['domComplete'] == -1, result_json))
    summary = format_result_summary(result_json).replace('\n', '<br/>')

    submit(perf_data, failures, revision, summary, args.engine)
    print("Done!")


if __name__ == "__main__":
    main()