예제 #1
0
    def save(self, project, raw=False):
        from sentry.tasks.post_process import index_event_tags
        data = self.data

        project = Project.objects.get_from_cache(id=project)

        # Check to make sure we're not about to do a bunch of work that's
        # already been done if we've processed an event with this ID. (This
        # isn't a perfect solution -- this doesn't handle ``EventMapping`` and
        # there's a race condition between here and when the event is actually
        # saved, but it's an improvement. See GH-7677.)
        try:
            event = Event.objects.get(
                project_id=project.id,
                event_id=data['event_id'],
            )
        except Event.DoesNotExist:
            pass
        else:
            self.logger.info('duplicate.found',
                             exc_info=True,
                             extra={
                                 'event_uuid': data['event_id'],
                                 'project_id': project.id,
                                 'model': Event.__name__,
                             })
            return event

        # First we pull out our top-level (non-data attr) kwargs
        event_id = data.pop('event_id')
        level = data.pop('level')
        culprit = data.pop('transaction', None)
        if not culprit:
            culprit = data.pop('culprit', None)
        logger_name = data.pop('logger', None)
        server_name = data.pop('server_name', None)
        site = data.pop('site', None)
        checksum = data.pop('checksum', None)
        fingerprint = data.pop('fingerprint', None)
        platform = data.pop('platform', None)
        release = data.pop('release', None)
        dist = data.pop('dist', None)
        environment = data.pop('environment', None)

        # unused
        time_spent = data.pop('time_spent', None)
        message = data.pop('message', '')

        if not culprit:
            # if we generate an implicit culprit, lets not call it a
            # transaction
            transaction_name = None
            culprit = generate_culprit(data, platform=platform)
        else:
            transaction_name = culprit

        culprit = force_text(culprit)

        recorded_timestamp = data.pop('timestamp')
        date = datetime.fromtimestamp(recorded_timestamp)
        date = date.replace(tzinfo=timezone.utc)

        kwargs = {
            'platform': platform,
        }

        event = Event(project_id=project.id,
                      event_id=event_id,
                      data=data,
                      time_spent=time_spent,
                      datetime=date,
                      **kwargs)
        event._project_cache = project

        # convert this to a dict to ensure we're only storing one value per key
        # as most parts of Sentry dont currently play well with multiple values
        tags = dict(data.get('tags') or [])
        tags['level'] = LOG_LEVELS[level]
        if logger_name:
            tags['logger'] = logger_name
        if server_name:
            tags['server_name'] = server_name
        if site:
            tags['site'] = site
        if environment:
            tags['environment'] = environment
        if transaction_name:
            tags['transaction'] = transaction_name

        if release:
            # dont allow a conflicting 'release' tag
            if 'release' in tags:
                del tags['release']
            release = Release.get_or_create(
                project=project,
                version=release,
                date_added=date,
            )

            tags['sentry:release'] = release.version

        if dist and release:
            dist = release.add_dist(dist, date)
            tags['sentry:dist'] = dist.name
        else:
            dist = None

        event_user = self._get_event_user(project, data)
        if event_user:
            # dont allow a conflicting 'user' tag
            if 'user' in tags:
                del tags['user']
            tags['sentry:user'] = event_user.tag_value

        # At this point we want to normalize the in_app values in case the
        # clients did not set this appropriately so far.
        normalize_in_app(data)

        for plugin in plugins.for_project(project, version=None):
            added_tags = safe_execute(plugin.get_tags,
                                      event,
                                      _with_transaction=False)
            if added_tags:
                # plugins should not override user provided tags
                for key, value in added_tags:
                    tags.setdefault(key, value)

        for path, iface in six.iteritems(event.interfaces):
            for k, v in iface.iter_tags():
                tags[k] = v
            # Get rid of ephemeral interface data
            if iface.ephemeral:
                data.pop(iface.get_path(), None)

        # tags are stored as a tuple
        tags = tags.items()

        data['tags'] = tags
        data['fingerprint'] = fingerprint or ['{{ default }}']

        # prioritize fingerprint over checksum as its likely the client defaulted
        # a checksum whereas the fingerprint was explicit
        if fingerprint:
            hashes = [
                md5_from_hash(h)
                for h in get_hashes_from_fingerprint(event, fingerprint)
            ]
        elif checksum:
            if HASH_RE.match(checksum):
                hashes = [checksum]
            else:
                hashes = [md5_from_hash([checksum]), checksum]
            data['checksum'] = checksum
        else:
            hashes = [md5_from_hash(h) for h in get_hashes_for_event(event)]

        # TODO(dcramer): temp workaround for complexity
        data['message'] = message
        event_type = eventtypes.get(data.get('type', 'default'))(data)
        event_metadata = event_type.get_metadata()
        # TODO(dcramer): temp workaround for complexity
        del data['message']

        data['type'] = event_type.key
        data['metadata'] = event_metadata

        # index components into ``Event.message``
        # See GH-3248
        if event_type.key != 'default':
            if 'sentry.interfaces.Message' in data and \
                    data['sentry.interfaces.Message']['message'] != message:
                message = u'{} {}'.format(
                    message,
                    data['sentry.interfaces.Message']['message'],
                )

        if not message:
            message = ''
        elif not isinstance(message, six.string_types):
            message = force_text(message)

        for value in six.itervalues(event_metadata):
            value_u = force_text(value, errors='replace')
            if value_u not in message:
                message = u'{} {}'.format(message, value_u)

        if culprit and culprit not in message:
            culprit_u = force_text(culprit, errors='replace')
            message = u'{} {}'.format(message, culprit_u)

        message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)

        event.message = message
        kwargs['message'] = message

        received_timestamp = event.data.get('received') or float(
            event.datetime.strftime('%s'))
        group_kwargs = kwargs.copy()
        group_kwargs.update({
            'culprit': culprit,
            'logger': logger_name,
            'level': level,
            'last_seen': date,
            'first_seen': date,
            'active_at': date,
            'data': {
                'last_received': received_timestamp,
                'type': event_type.key,
                # we cache the events metadata on the group to ensure its
                # accessible in the stream
                'metadata': event_metadata,
            },
        })

        if release:
            group_kwargs['first_release'] = release

        try:
            group, is_new, is_regression, is_sample = self._save_aggregate(
                event=event, hashes=hashes, release=release, **group_kwargs)
        except HashDiscarded:
            event_discarded.send_robust(
                project=project,
                sender=EventManager,
            )

            metrics.incr(
                'events.discarded',
                skip_internal=True,
                tags={
                    'organization_id': project.organization_id,
                    'platform': platform,
                },
            )
            raise
        else:
            event_saved.send_robust(
                project=project,
                sender=EventManager,
            )

        event.group = group
        # store a reference to the group id to guarantee validation of isolation
        event.data.bind_ref(event)

        # When an event was sampled, the canonical source of truth
        # is the EventMapping table since we aren't going to be writing out an actual
        # Event row. Otherwise, if the Event isn't being sampled, we can safely
        # rely on the Event table itself as the source of truth and ignore
        # EventMapping since it's redundant information.
        if is_sample:
            try:
                with transaction.atomic(
                        using=router.db_for_write(EventMapping)):
                    EventMapping.objects.create(project=project,
                                                group=group,
                                                event_id=event_id)
            except IntegrityError:
                self.logger.info('duplicate.found',
                                 exc_info=True,
                                 extra={
                                     'event_uuid': event_id,
                                     'project_id': project.id,
                                     'group_id': group.id,
                                     'model': EventMapping.__name__,
                                 })
                return event

        environment = Environment.get_or_create(
            project=project,
            name=environment,
        )

        group_environment, is_new_group_environment = GroupEnvironment.get_or_create(
            group_id=group.id,
            environment_id=environment.id,
            defaults={
                'first_release_id': release.id if release else None,
            },
        )

        if release:
            ReleaseEnvironment.get_or_create(
                project=project,
                release=release,
                environment=environment,
                datetime=date,
            )

            ReleaseProjectEnvironment.get_or_create(
                project=project,
                release=release,
                environment=environment,
                datetime=date,
            )

            grouprelease = GroupRelease.get_or_create(
                group=group,
                release=release,
                environment=environment,
                datetime=date,
            )

        counters = [
            (tsdb.models.group, group.id),
            (tsdb.models.project, project.id),
        ]

        if release:
            counters.append((tsdb.models.release, release.id))

        tsdb.incr_multi(counters,
                        timestamp=event.datetime,
                        environment_id=environment.id)

        frequencies = [
            # (tsdb.models.frequent_projects_by_organization, {
            #     project.organization_id: {
            #         project.id: 1,
            #     },
            # }),
            # (tsdb.models.frequent_issues_by_project, {
            #     project.id: {
            #         group.id: 1,
            #     },
            # })
            (tsdb.models.frequent_environments_by_group, {
                group.id: {
                    environment.id: 1,
                },
            })
        ]

        if release:
            frequencies.append((tsdb.models.frequent_releases_by_group, {
                group.id: {
                    grouprelease.id: 1,
                },
            }))

        tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)

        UserReport.objects.filter(
            project=project,
            event_id=event_id,
        ).update(
            group=group,
            environment=environment,
        )

        # save the event unless its been sampled
        if not is_sample:
            try:
                with transaction.atomic(using=router.db_for_write(Event)):
                    event.save()
            except IntegrityError:
                self.logger.info('duplicate.found',
                                 exc_info=True,
                                 extra={
                                     'event_uuid': event_id,
                                     'project_id': project.id,
                                     'group_id': group.id,
                                     'model': Event.__name__,
                                 })
                return event

            index_event_tags.delay(
                organization_id=project.organization_id,
                project_id=project.id,
                group_id=group.id,
                environment_id=environment.id,
                event_id=event.id,
                tags=tags,
                date_added=event.datetime,
            )

        if event_user:
            tsdb.record_multi(
                (
                    (tsdb.models.users_affected_by_group, group.id,
                     (event_user.tag_value, )),
                    (tsdb.models.users_affected_by_project, project.id,
                     (event_user.tag_value, )),
                ),
                timestamp=event.datetime,
                environment_id=environment.id,
            )
        if release:
            if is_new:
                buffer.incr(ReleaseProject, {'new_groups': 1}, {
                    'release_id': release.id,
                    'project_id': project.id,
                })
            if is_new_group_environment:
                buffer.incr(ReleaseProjectEnvironment, {'new_issues_count': 1},
                            {
                                'project_id': project.id,
                                'release_id': release.id,
                                'environment_id': environment.id,
                            })

        safe_execute(Group.objects.add_tags,
                     group,
                     environment,
                     tags,
                     _with_transaction=False)

        if not raw:
            if not project.first_event:
                project.update(first_event=date)
                first_event_received.send(project=project,
                                          group=group,
                                          sender=Project)

        eventstream.publish(
            group=group,
            event=event,
            is_new=is_new,
            is_sample=is_sample,
            is_regression=is_regression,
            is_new_group_environment=is_new_group_environment,
            primary_hash=hashes[0],
            # We are choosing to skip consuming the event back
            # in the eventstream if it's flagged as raw.
            # This means that we want to publish the event
            # through the event stream, but we don't care
            # about post processing and handling the commit.
            skip_consume=raw,
        )

        metrics.timing(
            'events.latency',
            received_timestamp - recorded_timestamp,
            tags={
                'project_id': project.id,
            },
        )

        return event
예제 #2
0
    def save(self, project, raw=False):
        from sentry.tasks.post_process import index_event_tags
        data = self.data

        project = Project.objects.get_from_cache(id=project)

        # Check to make sure we're not about to do a bunch of work that's
        # already been done if we've processed an event with this ID. (This
        # isn't a perfect solution -- this doesn't handle ``EventMapping`` and
        # there's a race condition between here and when the event is actually
        # saved, but it's an improvement. See GH-7677.)
        try:
            event = Event.objects.get(
                project_id=project.id,
                event_id=data['event_id'],
            )
        except Event.DoesNotExist:
            pass
        else:
            self.logger.info(
                'duplicate.found',
                exc_info=True,
                extra={
                    'event_uuid': data['event_id'],
                    'project_id': project.id,
                    'model': Event.__name__,
                }
            )
            return event

        # First we pull out our top-level (non-data attr) kwargs
        event_id = data.pop('event_id')
        level = data.pop('level')
        transaction_name = data.pop('transaction', None)
        culprit = data.pop('culprit', None)
        logger_name = data.pop('logger', None)
        server_name = data.pop('server_name', None)
        site = data.pop('site', None)
        checksum = data.pop('checksum', None)
        fingerprint = data.pop('fingerprint', None)
        platform = data.pop('platform', None)
        release = data.pop('release', None)
        dist = data.pop('dist', None)
        environment = data.pop('environment', None)

        # unused
        time_spent = data.pop('time_spent', None)
        message = data.pop('message', '')

        if not culprit:
            if transaction_name:
                culprit = transaction_name
            else:
                culprit = generate_culprit(data, platform=platform)

        culprit = force_text(culprit)
        if transaction_name:
            transaction_name = force_text(transaction_name)

        recorded_timestamp = data.pop('timestamp')
        date = datetime.fromtimestamp(recorded_timestamp)
        date = date.replace(tzinfo=timezone.utc)

        kwargs = {
            'platform': platform,
        }

        event = Event(
            project_id=project.id,
            event_id=event_id,
            data=data,
            time_spent=time_spent,
            datetime=date,
            **kwargs
        )
        event._project_cache = project
        data = event.data.data

        # convert this to a dict to ensure we're only storing one value per key
        # as most parts of Sentry dont currently play well with multiple values
        tags = dict(data.get('tags') or [])
        tags['level'] = LOG_LEVELS[level]
        if logger_name:
            tags['logger'] = logger_name
        if server_name:
            tags['server_name'] = server_name
        if site:
            tags['site'] = site
        if environment:
            tags['environment'] = environment
        if transaction_name:
            tags['transaction'] = transaction_name

        if release:
            # dont allow a conflicting 'release' tag
            if 'release' in tags:
                del tags['release']
            release = Release.get_or_create(
                project=project,
                version=release,
                date_added=date,
            )

            tags['sentry:release'] = release.version

        if dist and release:
            dist = release.add_dist(dist, date)
            tags['sentry:dist'] = dist.name
        else:
            dist = None

        event_user = self._get_event_user(project, data)
        if event_user:
            # dont allow a conflicting 'user' tag
            if 'user' in tags:
                del tags['user']
            tags['sentry:user'] = event_user.tag_value

        # At this point we want to normalize the in_app values in case the
        # clients did not set this appropriately so far.
        normalize_in_app(data)

        for plugin in plugins.for_project(project, version=None):
            added_tags = safe_execute(plugin.get_tags, event, _with_transaction=False)
            if added_tags:
                # plugins should not override user provided tags
                for key, value in added_tags:
                    tags.setdefault(key, value)

        for path, iface in six.iteritems(event.interfaces):
            for k, v in iface.iter_tags():
                tags[k] = v
            # Get rid of ephemeral interface data
            if iface.ephemeral:
                data.pop(iface.get_path(), None)

        # tags are stored as a tuple
        tags = tags.items()

        data['tags'] = tags
        data['fingerprint'] = fingerprint or ['{{ default }}']

        # prioritize fingerprint over checksum as its likely the client defaulted
        # a checksum whereas the fingerprint was explicit
        if fingerprint:
            hashes = [md5_from_hash(h) for h in get_hashes_from_fingerprint(event, fingerprint)]
        elif checksum:
            if HASH_RE.match(checksum):
                hashes = [checksum]
            else:
                hashes = [md5_from_hash([checksum]), checksum]
            data['checksum'] = checksum
        else:
            hashes = [md5_from_hash(h) for h in get_hashes_for_event(event)]

        # TODO(dcramer): temp workaround for complexity
        data['message'] = message
        event_type = eventtypes.get(data.get('type', 'default'))(data)
        event_metadata = event_type.get_metadata()
        # TODO(dcramer): temp workaround for complexity
        del data['message']

        data['type'] = event_type.key
        data['metadata'] = event_metadata

        # index components into ``Event.message``
        # See GH-3248
        if event_type.key != 'default':
            if 'sentry.interfaces.Message' in data and \
                    data['sentry.interfaces.Message']['message'] != message:
                message = u'{} {}'.format(
                    message,
                    data['sentry.interfaces.Message']['message'],
                )

        if not message:
            message = ''
        elif not isinstance(message, six.string_types):
            message = force_text(message)

        for value in six.itervalues(event_metadata):
            value_u = force_text(value, errors='replace')
            if value_u not in message:
                message = u'{} {}'.format(message, value_u)

        if culprit and culprit not in message:
            culprit_u = force_text(culprit, errors='replace')
            message = u'{} {}'.format(message, culprit_u)

        message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)

        event.message = message
        kwargs['message'] = message

        received_timestamp = event.data.get('received') or float(event.datetime.strftime('%s'))
        group_kwargs = kwargs.copy()
        group_kwargs.update(
            {
                'culprit': culprit,
                'logger': logger_name,
                'level': level,
                'last_seen': date,
                'first_seen': date,
                'active_at': date,
                'data': {
                    'last_received': received_timestamp,
                    'type':
                    event_type.key,
                    # we cache the events metadata on the group to ensure its
                    # accessible in the stream
                    'metadata':
                    event_metadata,
                },
            }
        )

        if release:
            group_kwargs['first_release'] = release

        try:
            group, is_new, is_regression, is_sample = self._save_aggregate(
                event=event, hashes=hashes, release=release, **group_kwargs
            )
        except HashDiscarded:
            event_discarded.send_robust(
                project=project,
                sender=EventManager,
            )

            metrics.incr(
                'events.discarded',
                skip_internal=True,
                tags={
                    'organization_id': project.organization_id,
                    'platform': platform,
                },
            )
            raise
        else:
            event_saved.send_robust(
                project=project,
                event_size=event.size,
                sender=EventManager,
            )

        event.group = group
        # store a reference to the group id to guarantee validation of isolation
        event.data.bind_ref(event)

        # When an event was sampled, the canonical source of truth
        # is the EventMapping table since we aren't going to be writing out an actual
        # Event row. Otherwise, if the Event isn't being sampled, we can safely
        # rely on the Event table itself as the source of truth and ignore
        # EventMapping since it's redundant information.
        if is_sample:
            try:
                with transaction.atomic(using=router.db_for_write(EventMapping)):
                    EventMapping.objects.create(project=project, group=group, event_id=event_id)
            except IntegrityError:
                self.logger.info(
                    'duplicate.found',
                    exc_info=True,
                    extra={
                        'event_uuid': event_id,
                        'project_id': project.id,
                        'group_id': group.id,
                        'model': EventMapping.__name__,
                    }
                )
                return event

        environment = Environment.get_or_create(
            project=project,
            name=environment,
        )

        group_environment, is_new_group_environment = GroupEnvironment.get_or_create(
            group_id=group.id,
            environment_id=environment.id,
            defaults={
                'first_release_id': release.id if release else None,
            },
        )

        if release:
            ReleaseEnvironment.get_or_create(
                project=project,
                release=release,
                environment=environment,
                datetime=date,
            )

            ReleaseProjectEnvironment.get_or_create(
                project=project,
                release=release,
                environment=environment,
                datetime=date,
            )

            grouprelease = GroupRelease.get_or_create(
                group=group,
                release=release,
                environment=environment,
                datetime=date,
            )

        counters = [
            (tsdb.models.group, group.id),
            (tsdb.models.project, project.id),
        ]

        if release:
            counters.append((tsdb.models.release, release.id))

        tsdb.incr_multi(counters, timestamp=event.datetime, environment_id=environment.id)

        frequencies = [
            # (tsdb.models.frequent_projects_by_organization, {
            #     project.organization_id: {
            #         project.id: 1,
            #     },
            # }),
            # (tsdb.models.frequent_issues_by_project, {
            #     project.id: {
            #         group.id: 1,
            #     },
            # })
            (tsdb.models.frequent_environments_by_group, {
                group.id: {
                    environment.id: 1,
                },
            })
        ]

        if release:
            frequencies.append(
                (tsdb.models.frequent_releases_by_group, {
                    group.id: {
                        grouprelease.id: 1,
                    },
                })
            )

        tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)

        UserReport.objects.filter(
            project=project,
            event_id=event_id,
        ).update(
            group=group,
            environment=environment,
        )

        # save the event unless its been sampled
        if not is_sample:
            try:
                with transaction.atomic(using=router.db_for_write(Event)):
                    event.save()
            except IntegrityError:
                self.logger.info(
                    'duplicate.found',
                    exc_info=True,
                    extra={
                        'event_uuid': event_id,
                        'project_id': project.id,
                        'group_id': group.id,
                        'model': Event.__name__,
                    }
                )
                return event

            index_event_tags.delay(
                organization_id=project.organization_id,
                project_id=project.id,
                group_id=group.id,
                environment_id=environment.id,
                event_id=event.id,
                tags=tags,
                date_added=event.datetime,
            )

        if event_user:
            tsdb.record_multi(
                (
                    (tsdb.models.users_affected_by_group, group.id, (event_user.tag_value, )),
                    (tsdb.models.users_affected_by_project, project.id, (event_user.tag_value, )),
                ),
                timestamp=event.datetime,
                environment_id=environment.id,
            )
        if release:
            if is_new:
                buffer.incr(
                    ReleaseProject, {'new_groups': 1}, {
                        'release_id': release.id,
                        'project_id': project.id,
                    }
                )
            if is_new_group_environment:
                buffer.incr(
                    ReleaseProjectEnvironment, {'new_issues_count': 1}, {
                        'project_id': project.id,
                        'release_id': release.id,
                        'environment_id': environment.id,
                    }
                )

        safe_execute(Group.objects.add_tags, group, environment, tags, _with_transaction=False)

        if not raw:
            if not project.first_event:
                project.update(first_event=date)
                first_event_received.send_robust(project=project, group=group, sender=Project)

        eventstream.publish(
            group=group,
            event=event,
            is_new=is_new,
            is_sample=is_sample,
            is_regression=is_regression,
            is_new_group_environment=is_new_group_environment,
            primary_hash=hashes[0],
            # We are choosing to skip consuming the event back
            # in the eventstream if it's flagged as raw.
            # This means that we want to publish the event
            # through the event stream, but we don't care
            # about post processing and handling the commit.
            skip_consume=raw,
        )

        metrics.timing(
            'events.latency',
            received_timestamp - recorded_timestamp,
            tags={
                'project_id': project.id,
            },
        )

        return event