def __fill_status(self, span: MutableMapping[str, Any],
status: Optional[str]) -> None:
if status:
int_status = SPAN_STATUS_NAME_TO_CODE.get(status,
UNKNOWN_SPAN_STATUS)
else:
int_status = UNKNOWN_SPAN_STATUS
span["status"] = int_status
def _process_base_event_values(
self, processed: MutableMapping[str, Any],
event_dict: EventDict) -> MutableMapping[str, Any]:
extract_base(processed, event_dict)
transaction_ctx = event_dict["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(
event_dict["data"].get("transaction") or "")
processed["start_ts"], processed[
"start_ms"] = self.__extract_timestamp(
event_dict["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 event_dict["data"]["timestamp"] - event_dict["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(
event_dict["data"]["timestamp"], )
duration_secs = (processed["finish_ts"] -
processed["start_ts"]).total_seconds()
processed["duration"] = max(int(duration_secs * 1000), 0)
processed["platform"] = _unicodify(event_dict["platform"])
return processed
def convert_search_filter_to_snuba_query(search_filter):
name = search_filter.key.name
value = search_filter.value.value
if name in no_conversion:
return
elif name == "id" and search_filter.value.is_wildcard():
raise InvalidSearchQuery("Wildcard conditions are not permitted on `id` field.")
elif name == "environment":
# conditions added to env_conditions are OR'd
env_conditions = []
values = set(value if isinstance(value, (list, tuple)) else [value])
# the "no environment" environment is null in snuba
if "" in values:
values.remove("")
operator = "IS NULL" if search_filter.operator == "=" else "IS NOT NULL"
env_conditions.append(["environment", operator, None])
if len(values) == 1:
operator = "=" if search_filter.operator == "=" else "!="
env_conditions.append(["environment", operator, values.pop()])
elif values:
operator = "IN" if search_filter.operator == "=" else "NOT IN"
env_conditions.append(["environment", operator, values])
return env_conditions
elif name == "message":
if search_filter.value.is_wildcard():
# XXX: We don't want the '^$' values at the beginning and end of
# the regex since we want to find the pattern anywhere in the
# message. Strip off here
value = search_filter.value.value[1:-1]
return [["match", ["message", u"'(?i){}'".format(value)]], search_filter.operator, 1]
else:
# https://clickhouse.yandex/docs/en/query_language/functions/string_search_functions/#position-haystack-needle
# positionCaseInsensitive returns 0 if not found and an index of 1 or more if found
# so we should flip the operator here
operator = "=" if search_filter.operator == "!=" else "!="
# make message search case insensitive
return [["positionCaseInsensitive", ["message", u"'{}'".format(value)]], operator, 0]
elif (
name.startswith("stack.") or name.startswith("error.")
) and search_filter.value.is_wildcard():
# Escape and convert meta characters for LIKE expressions.
raw_value = search_filter.value.raw_value
like_value = raw_value.replace("%", "\\%").replace("_", "\\_").replace("*", "%")
operator = "LIKE" if search_filter.operator == "=" else "NOT LIKE"
return [name, operator, like_value]
elif name == "transaction.status":
internal_value = SPAN_STATUS_NAME_TO_CODE.get(search_filter.value.raw_value)
if internal_value is None:
raise InvalidSearchQuery(
u"Invalid value for transaction.status condition. Accepted values are {}".format(
", ".join(SPAN_STATUS_NAME_TO_CODE.keys())
)
)
return [name, search_filter.operator, internal_value]
else:
value = (
int(to_timestamp(value)) * 1000
if isinstance(value, datetime) and name != "timestamp"
else value
)
# Tags are never null, but promoted tags are columns and so can be null.
# To handle both cases, use `ifNull` to convert to an empty string and
# compare so we need to check for empty values.
if search_filter.key.is_tag:
name = ["ifNull", [name, "''"]]
# Handle checks for existence
if search_filter.operator in ("=", "!=") and search_filter.value.value == "":
if search_filter.key.is_tag:
return [name, search_filter.operator, value]
else:
# If not a tag, we can just check that the column is null.
return [["isNull", [name]], search_filter.operator, 1]
is_null_condition = None
if search_filter.operator == "!=" and not search_filter.key.is_tag:
# Handle null columns on inequality comparisons. Any comparison
# between a value and a null will result to null, so we need to
# explicitly check for whether the condition is null, and OR it
# together with the inequality check.
# We don't need to apply this for tags, since if they don't exist
# they'll always be an empty string.
is_null_condition = [["isNull", [name]], "=", 1]
if search_filter.value.is_wildcard():
condition = [["match", [name, u"'(?i){}'".format(value)]], search_filter.operator, 1]
else:
condition = [name, search_filter.operator, value]
# We only want to return as a list if we have the check for null
# present. Returning as a list causes these conditions to be ORed
# together. Otherwise just return the raw condition, so that it can be
# used correctly in aggregates.
if is_null_condition:
return [is_null_condition, condition]
else:
return condition
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)