def test_join_query(self) -> None:
ev = Entity("events", "ev")
gm = Entity("groupedmessage", "gm")
join = Join([Relationship(ev, "grouped", gm)])
query = (Query("discover", join).set_select([
Column("group_id", ev),
Column("status", gm),
Function("avg", [Column("retention_days", ev)], "avg"),
]).set_groupby([Column("group_id", ev),
Column("status", gm)]).set_where([
Condition(Column("project_id", ev), Op.EQ,
self.project_id),
Condition(Column("project_id", gm), Op.EQ,
self.project_id),
Condition(Column("timestamp", ev), Op.GTE,
self.base_time),
Condition(Column("timestamp", ev), Op.LT,
self.next_time),
]))
response = self.post("/discover/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200
assert data["data"] == []
def test_invalid_query() -> None:
with pytest.raises(InvalidQueryError,
match=re.escape("queries must have a valid dataset")):
Query(dataset=1, match=Entity("events")) # type: ignore
with pytest.raises(InvalidQueryError,
match=re.escape("queries must have a valid dataset")):
Query(dataset="", match=Entity("events"))
with pytest.raises(InvalidQueryError,
match=re.escape("queries must have a valid Entity")):
Query(dataset="discover", match="events") # type: ignore
with pytest.raises(
InvalidConditionError,
match=re.escape(
"invalid condition: LHS of a condition must be a Column, CurriedFunction or Function, not <class 'snuba_sdk.aliased_expression.AliasedExpression'>"
),
):
(Query("discover", Entity("events")).set_select(
[AliasedExpression(Column("transaction"), "tn")]).set_where([
Condition(AliasedExpression(Column("project_id"), "pi"), Op.IN,
(1, ))
] # type: ignore
))
def test_invalid_subquery() -> None:
with pytest.raises(
InvalidQueryError,
match=re.escape(
"inner query is invalid: query must have at least one expression in select"
),
):
Query("discover", Query(dataset="discover",
match=Entity("events"))).set_select(
[Column("event_id"),
Column("title")])
with pytest.raises(
InvalidQueryError,
match=re.escape(
"inner query is invalid: query must have at least one expression in select"
),
):
Query(
"discover",
Query(
dataset="discover",
match=Entity("events"),
select=[Column("title"), Column("timestamp")],
),
).set_match(Query(dataset="discover",
match=Entity("events"))).set_select([
Function("uniq", [Column("new_event")],
"uniq_event"),
Column("title")
])
def test_entity(name: Any, sample: Any, formatted: Optional[str],
exception: Optional[Exception]) -> None:
if exception is not None:
with pytest.raises(type(exception), match=re.escape(str(exception))):
Entity(name, sample)
else:
entity = Entity(name, sample)
assert entity.name == name
assert entity.sample == sample
if formatted is not None:
assert TRANSLATOR.visit(entity) == formatted
def test_invalid_query() -> None:
with pytest.raises(InvalidQuery,
match=re.escape("queries must have a valid dataset")):
Query(dataset=1, match=Entity("events")) # type: ignore
with pytest.raises(InvalidQuery,
match=re.escape("queries must have a valid dataset")):
Query(dataset="", match=Entity("events"))
with pytest.raises(InvalidQuery,
match=re.escape("queries must have a valid Entity")):
Query(dataset="discover", match="events") # type: ignore
def _check_releases_have_health_data(
organization_id: int,
project_ids: List[int],
release_versions: List[str],
start: datetime,
end: datetime,
) -> Set[str]:
"""
Returns a set of all release versions that have health data within a given period of time.
"""
if not release_versions:
return set()
query = Query(
dataset="sessions",
match=Entity("sessions"),
select=[Column("release")],
groupby=[Column("release")],
where=[
Condition(Column("started"), Op.GTE, start),
Condition(Column("started"), Op.LT, end),
Condition(Column("org_id"), Op.EQ, organization_id),
Condition(Column("project_id"), Op.IN, project_ids),
Condition(Column("release"), Op.IN, release_versions),
],
)
data = snuba.raw_snql_query(query, referrer="snuba.sessions.check_releases_have_health_data")[
"data"
]
return {row["release"] for row in data}
def test_sub_query(self) -> None:
inner_query = (Query("discover", Entity("discover_events")).set_select(
[Function("count", [], "count")
]).set_groupby([Column("project_id"),
Column("tags[custom_tag]")]).set_where([
Condition(Column("type"), Op.NEQ,
"transaction"),
Condition(Column("project_id"), Op.EQ,
self.project_id),
Condition(Column("timestamp"), Op.GTE,
self.base_time),
Condition(Column("timestamp"), Op.LT,
self.next_time),
]))
query = (Query("discover", inner_query).set_select(
[Function("avg", [Column("count")], "avg_count")]).set_orderby([
OrderBy(Function("avg", [Column("count")], "avg_count"),
Direction.ASC)
]).set_limit(1000))
response = self.post("/discover/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200, data
assert data["data"] == [{"avg_count": 1.0}]
def test_join_validate_match(
conditions: ConditionGroup,
entity: Entity,
exception: Optional[Exception],
) -> None:
other_join_entity = Entity("test_b", "tb", None, SCHEMA)
join2_conditions = [
Condition(Column("required1", other_join_entity), Op.IN, [1, 2, 3]),
Condition(Column("required2", other_join_entity), Op.EQ, 1),
Condition(Column("time", other_join_entity), Op.GTE, BEFORE),
Condition(Column("time", other_join_entity), Op.LT, AFTER),
*conditions,
]
query = Query(
dataset="test",
match=Join([Relationship(entity, "has", other_join_entity)]),
select=[
Column("test1", entity),
Column("required1", other_join_entity)
],
where=join2_conditions,
)
if exception is not None:
with pytest.raises(type(exception), match=re.escape(str(exception))):
validate_required_columns(query)
else:
validate_required_columns(query)
def test_simple(self) -> None:
query = Query(
dataset="sessions",
match=Entity("org_sessions"),
select=[Column("org_id"), Column("project_id")],
groupby=[Column("org_id"), Column("project_id")],
where=[
Condition(Column("started"), Op.GTE,
datetime.utcnow() - timedelta(hours=6)),
Condition(Column("started"), Op.LT, datetime.utcnow()),
],
granularity=Granularity(3600),
)
response = self.app.post(
"/sessions/snql",
data=query.snuba(),
)
data = json.loads(response.data)
assert response.status_code == 200, response.data
assert len(data["data"]) == 2
assert data["data"][0]["org_id"] == self.org_id
assert data["data"][0]["project_id"] == self.project_id
assert data["data"][1]["org_id"] == self.org_id
assert data["data"][1]["project_id"] == self.project_id2
def test_invalid_query_set() -> None:
query = Query("discover", Entity("events"))
tests: Mapping[str, Sequence[Any]] = {
"match": (0, "0 must be a valid Entity"),
"select": (
(0, [], [0]),
"select clause must be a non-empty list of Column and/or Function",
),
"groupby": (
[0, [0]],
"groupby clause must be a list of Column and/or Function",
),
"where": ([0, [0]], "where clause must be a list of Condition"),
"having": ([0, [0]], "having clause must be a list of Condition"),
"orderby": ([0, [0]], "orderby clause must be a list of OrderBy"),
"limitby": ("a", "limitby clause must be a LimitBy"),
"limit": (100000, "limit '100000' is capped at 10,000"),
"offset": ("", "offset '' must be an integer"),
"granularity": (-1, "granularity '-1' must be at least 1"),
}
match, err = tests["match"]
with pytest.raises(InvalidQuery, match=re.escape(err)):
query.set_match(match)
for val in tests["select"][0]:
with pytest.raises(InvalidQuery, match=re.escape(tests["select"][1])):
query.set_select(val)
for val in tests["groupby"][0]:
with pytest.raises(InvalidQuery, match=re.escape(tests["groupby"][1])):
query.set_groupby(val)
for val in tests["where"][0]:
with pytest.raises(InvalidQuery, match=re.escape(tests["where"][1])):
query.set_where(val)
for val in tests["having"][0]:
with pytest.raises(InvalidQuery, match=re.escape(tests["having"][1])):
query.set_having(val)
for val in tests["orderby"][0]:
with pytest.raises(InvalidQuery, match=re.escape(tests["orderby"][1])):
query.set_orderby(val)
with pytest.raises(InvalidQuery, match=re.escape(tests["limitby"][1])):
query.set_limitby(tests["limitby"][0])
with pytest.raises(InvalidExpression, match=re.escape(tests["limit"][1])):
query.set_limit(tests["limit"][0])
with pytest.raises(InvalidExpression, match=re.escape(tests["offset"][1])):
query.set_offset(tests["offset"][0])
with pytest.raises(InvalidExpression,
match=re.escape(tests["granularity"][1])):
query.set_granularity(tests["granularity"][0])
def get_snql_query(self) -> Query:
return Query(
dataset=self.dataset.value,
match=Entity(self.dataset.value),
select=self.select,
where=self.where,
groupby=self.groupby,
limit=self.limit,
)
def build_project_usage_outcomes(start__stop, project):
start, stop = start__stop
# XXX(epurkhiser): Tsdb used to use day buckets, where the end would
# represent a whole day. Snuba queries more accurately thus we must
# capture the entire last day
end = stop + timedelta(days=1)
query = Query(
dataset=Dataset.Outcomes.value,
match=Entity("outcomes"),
select=[
Column("outcome"),
Column("category"),
Function("sum", [Column("quantity")], "total"),
],
where=[
Condition(Column("timestamp"), Op.GTE, start),
Condition(Column("timestamp"), Op.LT, end),
Condition(Column("project_id"), Op.EQ, project.id),
Condition(Column("org_id"), Op.EQ, project.organization_id),
Condition(
Column("outcome"), Op.IN,
[Outcome.ACCEPTED, Outcome.FILTERED, Outcome.RATE_LIMITED]),
Condition(
Column("category"),
Op.IN,
[*DataCategory.error_categories(), DataCategory.TRANSACTION],
),
],
groupby=[Column("outcome"), Column("category")],
granularity=Granularity(ONE_DAY),
)
data = raw_snql_query(query, referrer="reports.outcomes")["data"]
return (
# Accepted errors
sum(row["total"] for row in data
if row["category"] in DataCategory.error_categories()
and row["outcome"] == Outcome.ACCEPTED),
# Dropped errors
sum(row["total"] for row in data
if row["category"] in DataCategory.error_categories()
and row["outcome"] == Outcome.RATE_LIMITED),
# accepted transactions
sum(row["total"] for row in data
if row["category"] == DataCategory.TRANSACTION
and row["outcome"] == Outcome.ACCEPTED),
# Dropped transactions
sum(row["total"] for row in data
if row["category"] == DataCategory.TRANSACTION
and row["outcome"] == Outcome.RATE_LIMITED),
)
def get_snql_query(self) -> Query:
return Query(
dataset=self.dataset.value,
match=Entity(self.dataset.value),
select=self.select,
where=self.where,
having=self.having,
groupby=self.groupby,
orderby=[OrderBy(self.time_column, Direction.ASC)],
granularity=self.granularity,
limit=self.limit,
)
def test_escape_edge_cases(self) -> None:
query = (Query("events", Entity("events")).set_select(
[Function("count", [], "times_seen")]).set_where([
Condition(Column("project_id"), Op.EQ, self.project_id),
Condition(Column("timestamp"), Op.GTE, self.base_time),
Condition(Column("timestamp"), Op.LT, self.next_time),
Condition(Column("environment"), Op.EQ, "\\' \n \\n \\"),
]))
response = self.post("/events/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200, data
def run_outcomes_query_timeseries(query: QueryDefinition) -> ResultSet:
snql_query = Query(
dataset=query.dataset.value,
match=Entity(query.match),
select=query.select_params,
groupby=query.group_by + [Column(TS_COL)],
where=query.conditions,
limit=Limit(10000),
offset=Offset(0),
granularity=Granularity(query.rollup),
)
result_timeseries = raw_snql_query(snql_query, referrer="outcomes.timeseries")
return _format_rows(result_timeseries["data"], query)
def get_snql_query(self) -> Query:
self.validate_having_clause()
return Query(
dataset=self.dataset.value,
match=Entity(self.dataset.value),
select=self.select,
where=self.where,
having=self.having,
groupby=self.groupby,
orderby=self.orderby,
limit=self.limit,
offset=self.offset,
)
def test_basic(self) -> None:
now = datetime.now()
self._insert_event_for_time(now)
query = (Query(dataset="events", match=Entity("events")).set_select([
Function("count", [], "count")
]).set_groupby([Column("project_id")]).set_where([
Condition(Column("project_id"), Op.EQ, self.project.id),
Condition(Column("timestamp"), Op.GTE, now - timedelta(days=1)),
Condition(Column("timestamp"), Op.LT, now + timedelta(days=1)),
]))
result = snuba.raw_snql_query(query)
assert len(result["data"]) == 1
assert result["data"][0] == {"count": 1, "project_id": self.project.id}
def test_orderby(self) -> None:
self.project_id3 = next(self.id_iter)
self.org_id2 = next(self.id_iter)
self.generate_session_events(self.org_id2, self.project_id3)
query = Query(
dataset="sessions",
match=Entity("org_sessions"),
select=[Column("org_id"), Column("project_id")],
groupby=[Column("org_id"), Column("project_id")],
where=[
Condition(Column("started"), Op.GTE,
datetime.utcnow() - timedelta(hours=6)),
Condition(Column("started"), Op.LT, datetime.utcnow()),
],
granularity=Granularity(3600),
orderby=[OrderBy(Column("org_id"), Direction.ASC)],
)
response = self.app.post(
"/sessions/snql",
data=query.snuba(),
)
data = json.loads(response.data)
assert response.status_code == 200, response.data
assert len(data["data"]) == 3
assert data["data"][0]["org_id"] == self.org_id
assert data["data"][0]["project_id"] == self.project_id
assert data["data"][1]["org_id"] == self.org_id
assert data["data"][1]["project_id"] == self.project_id2
assert data["data"][2]["org_id"] == self.org_id2
assert data["data"][2]["project_id"] == self.project_id3
query = query.set_orderby(
[OrderBy(Column("org_id"), Direction.DESC)], )
response = self.app.post(
"/sessions/snql",
data=query.snuba(),
)
data = json.loads(response.data)
assert response.status_code == 200, response.data
assert len(data["data"]) == 3
assert data["data"][0]["org_id"] == self.org_id2
assert data["data"][0]["project_id"] == self.project_id3
assert data["data"][1]["org_id"] == self.org_id
assert data["data"][1]["project_id"] == self.project_id
assert data["data"][2]["org_id"] == self.org_id
assert data["data"][2]["project_id"] == self.project_id2
def _get_project_releases_count(
organization_id: int,
project_ids: Sequence[int],
scope: str,
stats_period: Optional[str] = None,
environments: Optional[Sequence[str]] = None,
) -> int:
"""
Fetches the total count of releases/project combinations
"""
if stats_period is None:
stats_period = "24h"
# Special rule that we support sorting by the last 24h only.
if scope.endswith("_24h"):
stats_period = "24h"
_, stats_start, _ = get_rollup_starts_and_buckets(stats_period)
where = [
Condition(Column("started"), Op.GTE, stats_start),
Condition(Column("started"), Op.LT, datetime.now()),
Condition(Column("project_id"), Op.IN, project_ids),
Condition(Column("org_id"), Op.EQ, organization_id),
]
if environments is not None:
where.append(Condition(Column("environment"), Op.IN, environments))
having = []
# Filter out releases with zero users when sorting by either `users` or `crash_free_users`
if scope in ["users", "crash_free_users"]:
having.append(Condition(Column("users"), Op.GT, 0))
query = Query(
dataset="sessions",
match=Entity("sessions"),
select=[
Function(
"uniqExact",
[Column("release"), Column("project_id")],
alias="count")
],
where=where,
having=having,
)
data = snuba.raw_snql_query(
query, referrer="snuba.sessions.get_project_releases_count")["data"]
return data[0]["count"] if data else 0
def get_snql_query(self) -> Query:
self.validate_having_clause()
return Query(
dataset=self.dataset.value,
match=Entity(self.dataset.value, sample=self.sample_rate),
select=self.columns,
array_join=self.array_join,
where=self.where,
having=self.having,
groupby=self.groupby,
orderby=self.orderby,
limit=self.limit,
offset=self.offset,
limitby=self.limitby,
turbo=self.turbo,
)
def test_cache(self):
"""Minimal test to verify if use_cache works"""
results = snuba.raw_snql_query(
Query(
"events",
Entity("events"),
select=[Column("event_id")],
where=[
Condition(Column("project_id"), Op.EQ, self.project.id),
Condition(Column("timestamp"), Op.GTE,
timezone.now() - timedelta(days=1)),
Condition(Column("timestamp"), Op.LT, timezone.now()),
],
limit=Limit(1),
),
use_cache=True,
)
assert results["data"] == []
def query_p95(interval):
start, stop = interval
query = Query(
dataset=Dataset.Transactions.value,
match=Entity("transactions"),
select=[
Column("transaction_name"),
Function("quantile(0.95)", [Column("duration")], "p95"),
],
where=[
Condition(Column("finish_ts"), Op.GTE, start),
Condition(Column("finish_ts"), Op.LT,
stop + timedelta(days=1)),
Condition(Column("transaction_name"), Op.IN,
transaction_names),
Condition(Column("project_id"), Op.EQ, project.id),
],
groupby=[Column("transaction_name")],
)
return raw_snql_query(query, referrer="reports.key_transactions.p95")
def build_key_errors(interval, project):
start, stop = interval
# Take the 3 most frequently occuring events
query = Query(
dataset=Dataset.Events.value,
match=Entity("events"),
select=[Column("group_id"), Function("count", [])],
where=[
Condition(Column("timestamp"), Op.GTE, start),
Condition(Column("timestamp"), Op.LT, stop + timedelta(days=1)),
Condition(Column("project_id"), Op.EQ, project.id),
],
groupby=[Column("group_id")],
orderby=[OrderBy(Function("count", []), Direction.DESC)],
limit=Limit(3),
)
query_result = raw_snql_query(query, referrer="reports.key_errors")
key_errors = query_result["data"]
return [(e["group_id"], e["count()"]) for e in key_errors]
def test_tags_in_groupby(self) -> None:
query = (Query("events", Entity("events")).set_select([
Function("count", [], "times_seen"),
Function("min", [Column("timestamp")], "first_seen"),
Function("max", [Column("timestamp")], "last_seen"),
]).set_groupby([Column("tags[k8s-app]")]).set_where([
Condition(Column("project_id"), Op.EQ, self.project_id),
Condition(Column("timestamp"), Op.GTE, self.base_time),
Condition(Column("timestamp"), Op.LT, self.next_time),
Condition(Column("tags[k8s-app]"), Op.NEQ, ""),
Condition(Column("type"), Op.NEQ, "transaction"),
]).set_orderby([
OrderBy(
Function("max", [Column("timestamp")], "last_seen"),
Direction.DESC,
)
]).set_limit(1000))
response = self.post("/events/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200, data
def test_sessions_query(self) -> None:
query = (Query("sessions", Entity("sessions")).set_select(
[Column("project_id"), Column("release")]).set_groupby(
[Column("project_id"), Column("release")]).set_where([
Condition(Column("project_id"), Op.IN, [self.project_id]),
Condition(Column("org_id"), Op.EQ, self.org_id),
Condition(
Column("started"),
Op.GTE,
datetime(2021, 1, 1, 17, 5, 59, 554860),
),
Condition(Column("started"), Op.LT,
datetime(2022, 1, 1, 17, 6, 0, 554981)),
]).set_orderby([OrderBy(Column("sessions"),
Direction.DESC)]).set_limit(100))
response = self.post("/sessions/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200
assert data["data"] == []
def test_arrayjoin(self) -> None:
query = (Query("events", Entity("events")).set_select([
Function("count", [], "times_seen"),
Function("min", [Column("timestamp")], "first_seen"),
Function("max", [Column("timestamp")], "last_seen"),
]).set_groupby([Column("exception_frames.filename")]).set_array_join(
Column("exception_frames.filename")).set_where([
Condition(Column("exception_frames.filename"), Op.LIKE,
"%.java"),
Condition(Column("project_id"), Op.EQ, self.project_id),
Condition(Column("timestamp"), Op.GTE, self.base_time),
Condition(Column("timestamp"), Op.LT, self.next_time),
]).set_orderby([
OrderBy(
Function("max", [Column("timestamp")], "last_seen"),
Direction.DESC,
)
]).set_limit(1000))
response = self.post("/events/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200, data
assert len(data["data"]) == 6
def test_simple_query(self) -> None:
query = (Query("discover", Entity("discover_events")).set_select(
[Function("count", [], "count")]).set_groupby(
[Column("project_id"),
Column("tags[custom_tag]")]).set_where([
Condition(Column("type"), Op.NEQ, "transaction"),
Condition(Column("project_id"), Op.EQ, self.project_id),
Condition(Column("timestamp"), Op.GTE, self.base_time),
Condition(Column("timestamp"), Op.LT, self.next_time),
]).set_orderby([
OrderBy(Function("count", [], "count"), Direction.ASC)
]).set_limit(1000).set_consistent(True).set_debug(True))
response = self.post("/discover/snql", data=query.snuba())
data = json.loads(response.data)
assert response.status_code == 200, data
assert data["stats"]["consistent"]
assert data["data"] == [{
"count": 1,
"tags[custom_tag]": "custom_value",
"project_id": self.project_id,
}]
Direction,
Function,
Granularity,
Limit,
LimitBy,
Offset,
OrderBy,
Totals,
)
from snuba_sdk.query import Query
NOW = datetime(2021, 1, 2, 3, 4, 5, 6, timezone.utc)
tests = [
pytest.param(
Query("discover",
Entity("events")).set_select([Column("event_id")]).set_where([
Condition(Column("timestamp"), Op.GT, NOW)
]).set_limit(10).set_offset(1).set_granularity(3600),
(
"MATCH (events)",
"SELECT event_id",
"WHERE timestamp > toDateTime('2021-01-02T03:04:05.000006')",
"LIMIT 10",
"OFFSET 1",
"GRANULARITY 3600",
),
None,
id="basic query",
),
pytest.param(
Query(
def build_key_transactions(interval, project):
start, stop = interval
# Take the 3 most frequently occuring transactions
query = Query(
dataset=Dataset.Transactions.value,
match=Entity("transactions"),
select=[
Column("transaction_name"),
Function("count", []),
],
where=[
Condition(Column("finish_ts"), Op.GTE, start),
Condition(Column("finish_ts"), Op.LT, stop + timedelta(days=1)),
Condition(Column("project_id"), Op.EQ, project.id),
],
groupby=[Column("transaction_name")],
orderby=[OrderBy(Function("count", []), Direction.DESC)],
limit=Limit(3),
)
query_result = raw_snql_query(query, referrer="reports.key_transactions")
key_errors = query_result["data"]
transaction_names = map(lambda p: p["transaction_name"], key_errors)
def query_p95(interval):
start, stop = interval
query = Query(
dataset=Dataset.Transactions.value,
match=Entity("transactions"),
select=[
Column("transaction_name"),
Function("quantile(0.95)", [Column("duration")], "p95"),
],
where=[
Condition(Column("finish_ts"), Op.GTE, start),
Condition(Column("finish_ts"), Op.LT,
stop + timedelta(days=1)),
Condition(Column("transaction_name"), Op.IN,
transaction_names),
Condition(Column("project_id"), Op.EQ, project.id),
],
groupby=[Column("transaction_name")],
)
return raw_snql_query(query, referrer="reports.key_transactions.p95")
query_result = query_p95((start, stop))
this_week_p95 = {}
for point in query_result["data"]:
this_week_p95[point["transaction_name"]] = point["p95"]
query_result = query_p95(
(start - timedelta(days=7), stop - timedelta(days=7)))
last_week_p95 = {}
for point in query_result["data"]:
last_week_p95[point["transaction_name"]] = point["p95"]
return [(
e["transaction_name"],
e["count()"],
project.id,
this_week_p95.get(e["transaction_name"], None),
last_week_p95.get(e["transaction_name"], None),
) for e in key_errors]
def build_project_series(start__stop, project):
start, stop = start__stop
rollup = ONE_DAY
resolution, series = tsdb.get_optimal_rollup_series(start, stop, rollup)
assert resolution == rollup, "resolution does not match requested value"
clean = partial(clean_series, start, stop, rollup)
def zerofill_clean(data):
return clean(zerofill(data, start, stop, rollup, fill_default=0))
# Note: this section can be removed
issue_ids = project.group_set.filter(status=GroupStatus.RESOLVED,
resolved_at__gte=start,
resolved_at__lt=stop).values_list(
"id", flat=True)
# TODO: The TSDB calls could be replaced with a SnQL call here
tsdb_range_resolved = _query_tsdb_groups_chunked(tsdb.get_range, issue_ids,
start, stop, rollup)
resolved_error_series = reduce(
merge_series,
map(clean, tsdb_range_resolved.values()),
clean([(timestamp, 0) for timestamp in series]),
)
# end
# Use outcomes to compute total errors and transactions
outcomes_query = Query(
dataset=Dataset.Outcomes.value,
match=Entity("outcomes"),
select=[
Column("time"),
Column("category"),
Function("sum", [Column("quantity")], "total"),
],
where=[
Condition(Column("timestamp"), Op.GTE, start),
Condition(Column("timestamp"), Op.LT, stop + timedelta(days=1)),
Condition(Column("project_id"), Op.EQ, project.id),
Condition(Column("org_id"), Op.EQ, project.organization_id),
Condition(Column("outcome"), Op.EQ, Outcome.ACCEPTED),
Condition(
Column("category"),
Op.IN,
[*DataCategory.error_categories(), DataCategory.TRANSACTION],
),
],
groupby=[Column("time"), Column("category")],
granularity=Granularity(rollup),
orderby=[OrderBy(Column("time"), Direction.ASC)],
)
outcome_series = raw_snql_query(outcomes_query,
referrer="reports.outcome_series")
total_error_series = OrderedDict()
for v in outcome_series["data"]:
if v["category"] in DataCategory.error_categories():
timestamp = int(to_timestamp(parse_snuba_datetime(v["time"])))
total_error_series[timestamp] = total_error_series.get(
timestamp, 0) + v["total"]
total_error_series = zerofill_clean(list(total_error_series.items()))
transaction_series = [(int(to_timestamp(parse_snuba_datetime(v["time"]))),
v["total"]) for v in outcome_series["data"]
if v["category"] == DataCategory.TRANSACTION]
transaction_series = zerofill_clean(transaction_series)
error_series = merge_series(
resolved_error_series,
total_error_series,
lambda resolved, total:
(resolved, total - resolved), # Resolved, Unresolved
)
# Format of this series: [(resolved , unresolved, transactions)]
return merge_series(
error_series,
transaction_series,
lambda errors, transactions: errors + (transactions, ),
)