Example #1
0
    def process_insert(
        self,
        event: Mapping[str, Any],
        metadata: Optional[KafkaMessageMetadata] = None
    ) -> Optional[Mapping[str, Any]]:
        if not self._should_process(event):
            return None

        processed = {"deleted": 0}
        extract_project_id(processed, event)
        self._extract_event_id(processed, event)
        processed["retention_days"] = enforce_retention(
            event,
            datetime.strptime(event["datetime"],
                              settings.PAYLOAD_DATETIME_FORMAT),
        )

        self.extract_required(processed, event)

        data = event.get("data", {})
        # HACK: https://sentry.io/sentry/snuba/issues/802102397/
        if not data:
            logger.error("No data for event: %s", event, exc_info=True)
            return None
        self.extract_common(processed, event, metadata)
        self.extract_custom(processed, event, metadata)

        sdk = data.get("sdk", None) or {}
        self.extract_sdk(processed, sdk)

        tags = _as_dict_safe(data.get("tags", None))
        self.extract_promoted_tags(processed, tags)
        self.extract_tags_custom(processed, event, tags, metadata)

        contexts = data.get("contexts", None) or {}
        self.extract_promoted_contexts(processed, contexts, tags)
        self.extract_contexts_custom(processed, event, contexts, metadata)

        processed["contexts.key"], processed[
            "contexts.value"] = extract_extra_contexts(contexts)
        processed["tags.key"], processed["tags.value"] = extract_extra_tags(
            tags)
        processed["_tags_flattened"] = flatten_nested_field(
            processed["tags.key"], processed["tags.value"])

        exception = (data.get("exception",
                              data.get("sentry.interfaces.Exception", None))
                     or {})
        stacks = exception.get("values", None) or []
        self.extract_stacktraces(processed, stacks)

        if metadata is not None:
            processed["offset"] = metadata.offset
            processed["partition"] = metadata.partition

        return processed
Example #2
0
    def __fill_common(self, span: MutableMapping[str, Any],
                      data: Mapping[str, Any]) -> None:
        """
        Fills in the fields that have the same structure between transactions and spans
        but that come from a different dictionary.
        """
        span["start_ts"], span["start_ns"] = self.__extract_timestamp(
            data["start_timestamp"], )
        span["finish_ts"], span["finish_ns"] = self.__extract_timestamp(
            data["timestamp"], )
        duration_secs = (span["finish_ts"] - span["start_ts"]).total_seconds()
        # duration is in milliseconds
        span["duration_ms"] = max(int(duration_secs * 1000), 0)

        tags = _as_dict_safe(data.get("tags", None))
        span["tags.key"], span["tags.value"] = extract_extra_tags(tags)
Example #3
0
    def test_extract_tags(self):
        orig_tags = {
            "sentry:user": "******",
            "level": "the_level",
            "logger": "the_logger",
            "server_name": "the_servername",
            "transaction": "the_transaction",
            "environment": "the_enviroment",
            "sentry:release": "the_release",
            "sentry:dist": "the_dist",
            "site": "the_site",
            "url": "the_url",
            "extra_tag": "extra_value",
            "null_tag": None,
        }
        tags = orig_tags.copy()
        output = {}

        enforce_table_writer(self.dataset).get_stream_loader().get_processor(
        ).extract_promoted_tags(output, tags)

        assert output == {
            "sentry:dist": "the_dist",
            "environment": u"the_enviroment",
            "level": u"the_level",
            "logger": u"the_logger",
            "sentry:release": "the_release",
            "server_name": u"the_servername",
            "site": u"the_site",
            "transaction": u"the_transaction",
            "url": u"the_url",
            "sentry:user": u"the_user",
        }
        assert tags == orig_tags

        extra_output = {}
        extra_output["tags.key"], extra_output[
            "tags.value"] = extract_extra_tags(tags)

        valid_items = [(k, v) for k, v in sorted(orig_tags.items()) if v]
        assert extra_output == {
            "tags.key": [k for k, v in valid_items],
            "tags.value": [v for k, v in valid_items],
        }
    def _process_tags(
        self,
        processed: MutableMapping[str, Any],
        event_dict: EventDict,
    ) -> None:

        tags: Mapping[str, Any] = _as_dict_safe(event_dict["data"].get(
            "tags", None))
        processed["tags.key"], processed["tags.value"] = extract_extra_tags(
            tags)
        promoted_tags = {
            col: tags[col]
            for col in self.PROMOTED_TAGS if col in tags
        }
        processed["release"] = promoted_tags.get(
            "sentry:release",
            event_dict.get("release"),
        )
        processed["environment"] = promoted_tags.get("environment")
        processed["user"] = promoted_tags.get("sentry:user", "")
        processed["dist"] = _unicodify(
            promoted_tags.get("sentry:dist", event_dict["data"].get("dist")), )
    def process_message(self, message, metadata) -> Optional[ProcessedMessage]:
        processed = {"deleted": 0}
        if not (isinstance(message, (list, tuple)) and len(message) >= 2):
            return None
        version = message[0]
        if version not in (0, 1, 2):
            return None
        type_, event = message[1:3]
        if type_ != "insert":
            return None

        data = event["data"]
        event_type = data.get("type")
        if event_type != "transaction":
            return None
        extract_base(processed, event)
        processed["retention_days"] = enforce_retention(
            event,
            datetime.fromtimestamp(data["timestamp"]),
        )
        if not data.get("contexts", {}).get("trace"):
            return None

        transaction_ctx = data["contexts"]["trace"]
        trace_id = transaction_ctx["trace_id"]
        try:
            processed["event_id"] = str(uuid.UUID(processed["event_id"]))
            processed["trace_id"] = str(uuid.UUID(trace_id))
            processed["span_id"] = int(transaction_ctx["span_id"], 16)
            processed["transaction_op"] = _unicodify(
                transaction_ctx.get("op") or "")
            processed["transaction_name"] = _unicodify(
                data.get("transaction") or "")
            processed[
                "start_ts"], processed["start_ms"] = self.__extract_timestamp(
                    data["start_timestamp"], )

            status = transaction_ctx.get("status", None)
            if status:
                int_status = SPAN_STATUS_NAME_TO_CODE.get(
                    status, UNKNOWN_SPAN_STATUS)
            else:
                int_status = UNKNOWN_SPAN_STATUS

            processed["transaction_status"] = int_status

            if data["timestamp"] - data["start_timestamp"] < 0:
                # Seems we have some negative durations in the DB
                metrics.increment("negative_duration")
        except Exception:
            # all these fields are required but we saw some events go through here
            # in the past.  For now bail.
            return
        processed["finish_ts"], processed[
            "finish_ms"] = self.__extract_timestamp(data["timestamp"], )

        duration_secs = (processed["finish_ts"] -
                         processed["start_ts"]).total_seconds()
        processed["duration"] = max(int(duration_secs * 1000), 0)

        processed["platform"] = _unicodify(event["platform"])

        tags = _as_dict_safe(data.get("tags", None))
        processed["tags.key"], processed["tags.value"] = extract_extra_tags(
            tags)
        processed["_tags_flattened"] = flatten_nested_field(
            processed["tags.key"], processed["tags.value"])

        promoted_tags = {
            col: tags[col]
            for col in self.PROMOTED_TAGS if col in tags
        }
        processed["release"] = promoted_tags.get(
            "sentry:release",
            event.get("release"),
        )
        processed["environment"] = promoted_tags.get("environment")

        contexts = _as_dict_safe(data.get("contexts", None))

        user_dict = data.get("user", data.get("sentry.interfaces.User",
                                              None)) or {}
        geo = user_dict.get("geo", None) or {}
        if "geo" not in contexts and isinstance(geo, dict):
            contexts["geo"] = geo

        measurements = data.get("measurements")
        if measurements is not None:
            try:
                (
                    processed["measurements.key"],
                    processed["measurements.value"],
                ) = extract_nested(measurements,
                                   lambda value: float(value["value"]))
            except Exception:
                # Not failing the event in this case just yet, because we are still
                # developing this feature.
                logger.error(
                    "Invalid measurements field.",
                    extra={"measurements": measurements},
                    exc_info=True,
                )
        request = data.get("request", data.get("sentry.interfaces.Http",
                                               None)) or {}
        http_data: MutableMapping[str, Any] = {}
        extract_http(http_data, request)
        processed["http_method"] = http_data["http_method"]
        processed["http_referer"] = http_data["http_referer"]

        processed["contexts.key"], processed[
            "contexts.value"] = extract_extra_contexts(contexts)
        processed["_contexts_flattened"] = flatten_nested_field(
            processed["contexts.key"], processed["contexts.value"])

        processed["dist"] = _unicodify(
            promoted_tags.get("sentry:dist", data.get("dist")), )

        user_data = {}
        extract_user(user_data, user_dict)
        processed["user"] = promoted_tags.get("sentry:user", "")
        processed["user_name"] = user_data["username"]
        processed["user_id"] = user_data["user_id"]
        processed["user_email"] = user_data["email"]
        ip_address = _ensure_valid_ip(user_data["ip_address"])

        if ip_address:
            if ip_address.version == 4:
                processed["ip_address_v4"] = str(ip_address)
            elif ip_address.version == 6:
                processed["ip_address_v6"] = str(ip_address)

        processed["partition"] = metadata.partition
        processed["offset"] = metadata.offset

        sdk = data.get("sdk", None) or {}
        processed["sdk_name"] = _unicodify(sdk.get("name") or "")
        processed["sdk_version"] = _unicodify(sdk.get("version") or "")

        if processed["sdk_name"] == "":
            metrics.increment("missing_sdk_name")
        if processed["sdk_version"] == "":
            metrics.increment("missing_sdk_version")

        return InsertBatch([processed])
    def process_message(
            self, message: Tuple[int, str, Any],
            metadata: KafkaMessageMetadata) -> Optional[ProcessedMessage]:
        processed: MutableMapping[str, Any] = {"deleted": 0}
        if not (isinstance(message, (list, tuple)) and len(message) >= 2):
            return None
        version = message[0]
        if version not in (0, 1, 2):
            return None
        type_, event = message[1:3]
        if type_ != "insert":
            return None

        data = event["data"]
        event_type = data.get("type")
        if event_type != "transaction":
            return None
        extract_base(processed, event)

        try:
            # We are purposely using a naive datetime here to work with the
            # rest of the codebase. We can be confident that clients are only
            # sending UTC dates.
            processed["retention_days"] = enforce_retention(
                event,
                datetime.utcfromtimestamp(data["timestamp"]),
            )
        except EventTooOld:
            return None

        if not data.get("contexts", {}).get("trace"):
            return None

        transaction_ctx = data["contexts"]["trace"]
        trace_id = transaction_ctx["trace_id"]
        processed["event_id"] = str(uuid.UUID(processed["event_id"]))
        processed["trace_id"] = str(uuid.UUID(trace_id))
        processed["span_id"] = int(transaction_ctx["span_id"], 16)
        processed["transaction_op"] = _unicodify(
            transaction_ctx.get("op") or "")
        processed["transaction_name"] = _unicodify(
            data.get("transaction") or "")
        processed["start_ts"], processed[
            "start_ms"] = self.__extract_timestamp(data["start_timestamp"], )
        status = transaction_ctx.get("status", None)
        if status:
            int_status = SPAN_STATUS_NAME_TO_CODE.get(status,
                                                      UNKNOWN_SPAN_STATUS)
        else:
            int_status = UNKNOWN_SPAN_STATUS

        processed["transaction_status"] = int_status
        if data["timestamp"] - data["start_timestamp"] < 0:
            # Seems we have some negative durations in the DB
            metrics.increment("negative_duration")

        processed["finish_ts"], processed[
            "finish_ms"] = self.__extract_timestamp(data["timestamp"], )

        duration_secs = (processed["finish_ts"] -
                         processed["start_ts"]).total_seconds()
        processed["duration"] = max(int(duration_secs * 1000), 0)

        processed["platform"] = _unicodify(event["platform"])

        tags: Mapping[str, Any] = _as_dict_safe(data.get("tags", None))
        processed["tags.key"], processed["tags.value"] = extract_extra_tags(
            tags)

        promoted_tags = {
            col: tags[col]
            for col in self.PROMOTED_TAGS if col in tags
        }
        processed["release"] = promoted_tags.get(
            "sentry:release",
            event.get("release"),
        )
        processed["environment"] = promoted_tags.get("environment")

        contexts: MutableMapping[str, Any] = _as_dict_safe(
            data.get("contexts", None))

        user_dict = data.get("user", data.get("sentry.interfaces.User",
                                              None)) or {}
        geo = user_dict.get("geo", None) or {}
        if "geo" not in contexts and isinstance(geo, dict):
            contexts["geo"] = geo

        measurements = data.get("measurements")
        if measurements is not None:
            try:
                (
                    processed["measurements.key"],
                    processed["measurements.value"],
                ) = extract_nested(
                    measurements,
                    lambda value: float(value["value"])
                    if (value is not None and isinstance(
                        value.get("value"), numbers.Number)) else None,
                )
            except Exception:
                # Not failing the event in this case just yet, because we are still
                # developing this feature.
                logger.error(
                    "Invalid measurements field.",
                    extra={"measurements": measurements},
                    exc_info=True,
                )

        breakdowns = data.get("breakdowns")
        if breakdowns is not None:
            span_op_breakdowns = breakdowns.get("span_ops")
            if span_op_breakdowns is not None:
                try:
                    (
                        processed["span_op_breakdowns.key"],
                        processed["span_op_breakdowns.value"],
                    ) = extract_nested(
                        span_op_breakdowns,
                        lambda value: float(value["value"])
                        if (value is not None and isinstance(
                            value.get("value"), numbers.Number)) else None,
                    )
                except Exception:
                    # Not failing the event in this case just yet, because we are still
                    # developing this feature.
                    logger.error(
                        "Invalid breakdowns.span_ops field.",
                        extra={"span_op_breakdowns": span_op_breakdowns},
                        exc_info=True,
                    )

        request = data.get("request", data.get("sentry.interfaces.Http",
                                               None)) or {}
        http_data: MutableMapping[str, Any] = {}
        extract_http(http_data, request)
        processed["http_method"] = http_data["http_method"]
        processed["http_referer"] = http_data["http_referer"]

        skipped_contexts = settings.TRANSACT_SKIP_CONTEXT_STORE.get(
            processed["project_id"], set())
        for context in skipped_contexts:
            if context in contexts:
                del contexts[context]

        processed["contexts.key"], processed[
            "contexts.value"] = extract_extra_contexts(contexts)

        processed["dist"] = _unicodify(
            promoted_tags.get("sentry:dist", data.get("dist")), )

        user_data: MutableMapping[str, Any] = {}
        extract_user(user_data, user_dict)
        processed["user"] = promoted_tags.get("sentry:user", "")
        processed["user_name"] = user_data["username"]
        processed["user_id"] = user_data["user_id"]
        processed["user_email"] = user_data["email"]
        ip_address = _ensure_valid_ip(user_data["ip_address"])

        if ip_address:
            if ip_address.version == 4:
                processed["ip_address_v4"] = str(ip_address)
            elif ip_address.version == 6:
                processed["ip_address_v6"] = str(ip_address)

        processed["partition"] = metadata.partition
        processed["offset"] = metadata.offset

        sdk = data.get("sdk", None) or {}
        processed["sdk_name"] = _unicodify(sdk.get("name") or "")
        processed["sdk_version"] = _unicodify(sdk.get("version") or "")

        if processed["sdk_name"] == "":
            metrics.increment("missing_sdk_name")
        if processed["sdk_version"] == "":
            metrics.increment("missing_sdk_version")

        return InsertBatch([processed], None)
Example #7
0
    def process_message(self, message, metadata) -> Optional[ProcessedMessage]:
        if not (isinstance(message, (list, tuple)) and len(message) >= 2):
            return None
        version = message[0]
        if version not in (0, 1, 2):
            return None
        type_, event = message[1:3]
        if type_ != "insert":
            return None

        data = event["data"]
        event_type = data.get("type")
        if event_type != "transaction":
            return None

        ret: List[MutableMapping[str, Any]] = []

        # Add the transaction span
        transaction_ctx = data["contexts"].get("trace")
        if not transaction_ctx:
            metrics.increment("missing_trace_ctx")
            return None

        # Add the transaction root span
        processed = self.__init_span(event)
        processed["span_id"] = self.__safe_extract_int(
            "transaction:span_id", transaction_ctx["span_id"], False)
        if processed["span_id"] is None:
            return None
        processed["transaction_name"] = _unicodify(
            data.get("transaction") or "")
        processed["parent_span_id"] = self.__safe_extract_int(
            "transaction:parent_span_id",
            transaction_ctx.get("parent_span_id"), True)

        processed["description"] = _unicodify(data.get("transaction") or "")
        processed["op"] = _unicodify(transaction_ctx.get("op") or "")
        status = transaction_ctx.get("status", None)
        self.__fill_status(processed, status)
        self.__fill_common(processed, event["data"])
        ret.append(processed)

        spans = data.get("spans", [])
        for span in spans:
            processed = self.__init_span(event)
            processed["span_id"] = self.__safe_extract_int(
                "span:span_id", span["span_id"], False)
            if processed["span_id"] is None:
                return None
            processed["parent_span_id"] = self.__safe_extract_int(
                "span:parent_span_id", span.get("parent_span_id"), True)

            processed["description"] = span.get("description", "") or ""
            processed["op"] = span["op"]
            tags = _as_dict_safe(span.get("tags", None))
            processed["tags.key"], processed[
                "tags.value"] = extract_extra_tags(tags)

            status = span.get("status", None)
            self.__fill_status(processed, status)
            self.__fill_common(processed, span)
            ret.append(processed)

        if ret:
            return InsertBatch(ret)
        else:
            return None