Esempio n. 1
0
def signature_summary(request, params):
    """Return a list of specific aggregations"""
    context = {}

    params["signature"] = "=" + params["signature"][0]
    params["_aggs.signature"] = [
        "hang_type",
        "process_type",
        "startup_crash",
        "dom_fission_enabled",
        "_histogram.uptime",
    ]
    params["_results_number"] = 0
    params["_facets"] = [
        "platform_pretty_version",
        "cpu_arch",
        "process_type",
        "flash_version",
    ]
    params["_histogram.uptime"] = ["product"]
    params["_histogram_interval.uptime"] = 60
    params["_aggs.adapter_vendor_id"] = ["adapter_device_id"]
    params["_aggs.android_cpu_abi.android_manufacturer.android_model"] = [
        "android_version"
    ]
    params["_aggs.product.version"] = ["_cardinality.install_time"]

    # If the user has permissions, show exploitability.
    all_fields = SuperSearchFields().get()
    if request.user.has_perms(
            all_fields["exploitability"]["permissions_needed"]):
        params["_histogram.date"] = ["exploitability"]

    api = SuperSearchUnredacted()

    # Now make the actual request with all expected parameters.
    try:
        search_results = api.get(**params)
    except BadArgumentError as e:
        # We need to return the error message in some HTML form for jQuery to
        # pick it up.
        return http.HttpResponseBadRequest(render_exception(e))

    facets = search_results["facets"]

    _transform_uptime_summary(facets)
    _transform_graphics_summary(facets)
    _transform_mobile_summary(facets)
    _transform_exploitability_summary(facets)

    context["query"] = search_results
    context["product_version_total"] = search_results["total"]
    if "signature" in facets and len(facets["signature"]) > 0:
        context["signature_stats"] = SignatureStats(
            search_results["facets"]["signature"][0], search_results["total"])

    return render(request, "signature/signature_summary.html", context)
def signature_summary(request, params):
    """Return a list of specific aggregations"""
    context = {}

    params['signature'] = '=' + params['signature'][0]
    params['_aggs.signature'] = [
        'hang_type',
        'process_type',
        'startup_crash',
        '_histogram.uptime',
    ]
    params['_results_number'] = 0
    params['_facets'] = [
        'platform_pretty_version',
        'cpu_arch',
        'process_type',
        'flash_version',
    ]
    params['_histogram.uptime'] = ['product']
    params['_histogram_interval.uptime'] = 60
    params['_aggs.adapter_vendor_id'] = ['adapter_device_id']
    params['_aggs.android_cpu_abi.android_manufacturer.android_model'] = [
        'android_version'
    ]
    params['_aggs.product.version'] = ['_cardinality.install_time']

    # If the user has permissions, show exploitability.
    all_fields = SuperSearchFields().get()
    if has_permissions(
        request.user, all_fields['exploitability']['permissions_needed']
    ):
        params['_histogram.date'] = ['exploitability']

    api = SuperSearchUnredacted()

    # Now make the actual request with all expected parameters.
    try:
        search_results = api.get(**params)
    except BadArgumentError as e:
        # We need to return the error message in some HTML form for jQuery to
        # pick it up.
        return http.HttpResponseBadRequest(render_exception(e))

    facets = search_results['facets']

    _transform_uptime_summary(facets)
    _transform_graphics_summary(facets)
    _transform_mobile_summary(facets)
    _transform_exploitability_summary(facets)

    context['query'] = search_results
    context['product_version_total'] = search_results['total']
    if 'signature' in facets and len(facets['signature']) > 0:
        context['signature_stats'] = SignatureStats(search_results['facets']['signature'][0],
                                                    search_results['total'])

    return render(request, 'signature/signature_summary.html', context)
Esempio n. 3
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def get_topcrashers_stats(**kwargs):
    """Return the results of a search. """
    params = kwargs
    range_type = params.pop("_range_type")
    dates = get_date_boundaries(params)

    params["_aggs.signature"] = [
        "platform",
        "is_garbage_collecting",
        "hang_type",
        "process_type",
        "startup_crash",
        "_histogram.uptime",
        "_cardinality.install_time",
    ]
    params["_histogram_interval.uptime"] = 60

    # We don't care about no results, only facets.
    params["_results_number"] = 0

    if params.get("process_type") in ("any", "all"):
        params["process_type"] = None

    if range_type == "build":
        params["build_id"] = [
            ">=" + datetime_to_build_id(dates[0]),
            "<" + datetime_to_build_id(dates[1]),
        ]

    api = SuperSearchUnredacted()
    search_results = api.get(**params)

    signatures_stats = []
    if search_results["total"] > 0:
        # Run the same query but for the previous date range, so we can
        # compare the rankings and show rank changes.
        delta = (dates[1] - dates[0]) * 2
        params["date"] = [
            ">=" + (dates[1] - delta).isoformat(),
            "<" + dates[0].isoformat(),
        ]
        params["_aggs.signature"] = ["platform"]
        params["_facets_size"] *= 2

        if range_type == "build":
            params["date"][1] = "<" + dates[1].isoformat()
            params["build_id"] = [
                ">=" + datetime_to_build_id(dates[1] - delta),
                "<" + datetime_to_build_id(dates[0]),
            ]

        previous_range_results = api.get(**params)
        previous_signatures = get_comparison_signatures(previous_range_results)

        for index, signature in enumerate(
                search_results["facets"]["signature"]):
            previous_signature = previous_signatures.get(signature["term"])
            signatures_stats.append(
                SignatureStats(
                    signature=signature,
                    num_total_crashes=search_results["total"],
                    rank=index,
                    platforms=models.Platform.objects.values(),
                    previous_signature=previous_signature,
                ))
    return signatures_stats
Esempio n. 4
0
def get_topcrashers_stats(**kwargs):
    """Return the results of a search. """
    params = kwargs
    range_type = params.pop('_range_type')
    dates = get_date_boundaries(params)

    params['_aggs.signature'] = [
        'platform',
        'is_garbage_collecting',
        'hang_type',
        'process_type',
        'startup_crash',
        '_histogram.uptime',
        '_cardinality.install_time',
    ]
    params['_histogram_interval.uptime'] = 60

    # We don't care about no results, only facets.
    params['_results_number'] = 0

    if params.get('process_type') in ('any', 'all'):
        params['process_type'] = None

    if range_type == 'build':
        params['build_id'] = [
            '>=' + datetime_to_build_id(dates[0]),
            '<' + datetime_to_build_id(dates[1])
        ]

    api = SuperSearchUnredacted()
    search_results = api.get(**params)

    signatures_stats = []
    if search_results['total'] > 0:
        # Run the same query but for the previous date range, so we can
        # compare the rankings and show rank changes.
        delta = (dates[1] - dates[0]) * 2
        params['date'] = [
            '>=' + (dates[1] - delta).isoformat(),
            '<' + dates[0].isoformat()
        ]
        params['_aggs.signature'] = [
            'platform',
        ]
        params['_facets_size'] *= 2

        if range_type == 'build':
            params['date'][1] = '<' + dates[1].isoformat()
            params['build_id'] = [
                '>=' + datetime_to_build_id(dates[1] - delta),
                '<' + datetime_to_build_id(dates[0])
            ]

        previous_range_results = api.get(**params)
        previous_signatures = get_comparison_signatures(previous_range_results)

        for index, signature in enumerate(search_results['facets']['signature']):
            previous_signature = previous_signatures.get(signature['term'])
            signatures_stats.append(SignatureStats(
                signature=signature,
                num_total_crashes=search_results['total'],
                rank=index,
                platforms=models.Platform.objects.values(),
                previous_signature=previous_signature,
            ))
    return signatures_stats