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feat: enable ETag header for dashboard GET requests #10963

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Sep 29, 2020
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1 change: 1 addition & 0 deletions superset/config.py
Original file line number Diff line number Diff line change
Expand Up @@ -297,6 +297,7 @@ def _try_json_readsha( # pylint: disable=unused-argument
# Experimental feature introducing a client (browser) cache
"CLIENT_CACHE": False,
"ENABLE_EXPLORE_JSON_CSRF_PROTECTION": False,
"ENABLE_DASHBOARD_ETAG_HEADER": False,
"KV_STORE": False,
"PRESTO_EXPAND_DATA": False,
# Exposes API endpoint to compute thumbnails
Expand Down
28 changes: 24 additions & 4 deletions superset/utils/decorators.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@
import logging
from datetime import datetime, timedelta
from functools import wraps
from typing import Any, Callable, Iterator
from typing import Any, Callable, Iterator, Optional

from contextlib2 import contextmanager
from flask import request
Expand Down Expand Up @@ -46,7 +46,12 @@ def stats_timing(stats_key: str, stats_logger: BaseStatsLogger) -> Iterator[floa
stats_logger.timing(stats_key, now_as_float() - start_ts)


def etag_cache(max_age: int, check_perms: Callable[..., Any]) -> Callable[..., Any]:
def etag_cache(
max_age: int,
check_perms: Callable[..., Any],
get_last_modified: Optional[Callable[..., Any]] = None,
skip: Optional[Callable[..., Any]] = None,
) -> Callable[..., Any]:
"""
A decorator for caching views and handling etag conditional requests.

Expand All @@ -69,7 +74,7 @@ def wrapper(*args: Any, **kwargs: Any) -> ETagResponseMixin:
# for POST requests we can't set cache headers, use the response
# cache nor use conditional requests; this will still use the
# dataframe cache in `superset/viz.py`, though.
if request.method == "POST":
if request.method == "POST" or (skip and skip(*args, **kwargs)):
return f(*args, **kwargs)

response = None
Expand All @@ -89,13 +94,28 @@ def wrapper(*args: Any, **kwargs: Any) -> ETagResponseMixin:
raise
logger.exception("Exception possibly due to cache backend.")

# if cache is stale?
if get_last_modified:
content_changed_time = get_last_modified(*args, **kwargs)
if (
response
and response.last_modified
and response.last_modified.timestamp()
< content_changed_time.timestamp()
):
response = None
else:
# if caller didn't provide content's last_modified time, assume
# its cache won't be stale.
content_changed_time = datetime.utcnow()
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add a comment here why content_changed_time is set to now()

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We use this content_changed_time as cache's last_modified time.
for dashboard content_changed_time is dashboard entity's latest updated time (like metadata, chart metadata changed time etc). this data is from a callback function.
for explore_json, the cache is query results and there is no entity's latest modified time to use. so we use request time (now) as cache's last_modified time.

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I know generalizing too soon is not a good practice, but I wonder if we should pass a callable called is_stale here. It would simplify the decorator logic, and since it would be defined closer to the dashboard it might simplify the logic there as well.

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at first i thought is_stale is a good idea. but when start refactor it, i found last_modified time is needed by decorator function(to set header). So is_stale (only boolean value) is not enough.
So instead of using is_stale return true or false, I prefer to keep get_last_modified, and use last_modified time to invalid cache.


# if no response was cached, compute it using the wrapped function
if response is None:
response = f(*args, **kwargs)

# add headers for caching: Last Modified, Expires and ETag
response.cache_control.public = True
response.last_modified = datetime.utcnow()
response.last_modified = content_changed_time
expiration = max_age if max_age != 0 else FAR_FUTURE
response.expires = response.last_modified + timedelta(
seconds=expiration
Expand Down
78 changes: 38 additions & 40 deletions superset/views/core.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,17 @@
import backoff
import pandas as pd
import simplejson as json
from flask import abort, flash, g, Markup, redirect, render_template, request, Response
from flask import (
abort,
flash,
g,
make_response,
Markup,
redirect,
render_template,
request,
Response,
)
from flask_appbuilder import expose
from flask_appbuilder.models.sqla.interface import SQLAInterface
from flask_appbuilder.security.decorators import has_access, has_access_api
Expand Down Expand Up @@ -114,9 +124,12 @@
_deserialize_results_payload,
apply_display_max_row_limit,
bootstrap_user_data,
check_dashboard_perms,
check_datasource_perms,
check_slice_perms,
get_cta_schema_name,
get_dashboard,
get_dashboard_changedon_dt,
get_dashboard_extra_filters,
get_datasource_info,
get_form_data,
Expand Down Expand Up @@ -1585,49 +1598,32 @@ def publish( # pylint: disable=no-self-use
return json_success(json.dumps({"published": dash.published}))

@has_access
@etag_cache(
0,
check_perms=check_dashboard_perms,
get_last_modified=get_dashboard_changedon_dt,
skip=lambda _self, dashboard_id_or_slug: not is_feature_enabled(
"ENABLE_DASHBOARD_ETAG_HEADER"
),
)
@expose("/dashboard/<dashboard_id_or_slug>/")
def dashboard( # pylint: disable=too-many-locals
self, dashboard_id_or_slug: str
) -> FlaskResponse:
"""Server side rendering for a dashboard"""
session = db.session()
qry = session.query(Dashboard)
if dashboard_id_or_slug.isdigit():
qry = qry.filter_by(id=int(dashboard_id_or_slug))
else:
qry = qry.filter_by(slug=dashboard_id_or_slug)
dash = get_dashboard(dashboard_id_or_slug)

dash = qry.one_or_none()
if not dash:
abort(404)

datasources = defaultdict(list)
slices_by_datasources = defaultdict(list)
for slc in dash.slices:
datasource = slc.datasource
if datasource:
datasources[datasource].append(slc)

if config["ENABLE_ACCESS_REQUEST"]:
for datasource in datasources:
if datasource and not security_manager.can_access_datasource(
datasource
):
flash(
__(
security_manager.get_datasource_access_error_msg(datasource)
),
"danger",
)
return redirect(
"superset/request_access/?" f"dashboard_id={dash.id}&"
)

slices_by_datasources[datasource].append(slc)
# Filter out unneeded fields from the datasource payload
datasources_payload = {
datasource.uid: datasource.data_for_slices(slices)
if is_feature_enabled("REDUCE_DASHBOARD_BOOTSTRAP_PAYLOAD")
else datasource.data
for datasource, slices in datasources.items()
for datasource, slices in slices_by_datasources.items()
}

dash_edit_perm = check_ownership(
Expand Down Expand Up @@ -1661,7 +1657,7 @@ def dashboard(**_: Any) -> None:
if is_feature_enabled("REMOVE_SLICE_LEVEL_LABEL_COLORS"):
# dashboard metadata has dashboard-level label_colors,
# so remove slice-level label_colors from its form_data
for slc in dashboard_data.get("slices"):
for slc in dashboard_data.get("slices") or []:
form_data = slc.get("form_data")
form_data.pop("label_colors", None)

Expand Down Expand Up @@ -1695,15 +1691,17 @@ def dashboard(**_: Any) -> None:
json.dumps(bootstrap_data, default=utils.pessimistic_json_iso_dttm_ser)
)

return self.render_template(
"superset/dashboard.html",
entry="dashboard",
standalone_mode=standalone_mode,
title=dash.dashboard_title,
custom_css=dashboard_data.get("css"),
bootstrap_data=json.dumps(
bootstrap_data, default=utils.pessimistic_json_iso_dttm_ser
),
return make_response(
self.render_template(
"superset/dashboard.html",
entry="dashboard",
standalone_mode=standalone_mode,
title=dash.dashboard_title,
custom_css=dashboard_data.get("css"),
bootstrap_data=json.dumps(
bootstrap_data, default=utils.pessimistic_json_iso_dttm_ser
),
)
)

@api
Expand Down
64 changes: 61 additions & 3 deletions superset/views/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,19 +16,27 @@
# under the License.
import logging
from collections import defaultdict
from datetime import date
from datetime import date, datetime
from typing import Any, Callable, DefaultDict, Dict, List, Optional, Set, Tuple, Union
from urllib import parse

import msgpack
import pyarrow as pa
import simplejson as json
from flask import g, request
from flask import abort, flash, g, redirect, request
from flask_appbuilder.security.sqla import models as ab_models
from flask_appbuilder.security.sqla.models import User
from flask_babel import gettext as __

import superset.models.core as models
from superset import app, dataframe, db, is_feature_enabled, result_set
from superset import (
app,
dataframe,
db,
is_feature_enabled,
result_set,
security_manager,
)
from superset.connectors.connector_registry import ConnectorRegistry
from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
from superset.exceptions import SupersetException, SupersetSecurityException
Expand Down Expand Up @@ -298,6 +306,36 @@ def get_time_range_endpoints(
CONTAINER_TYPES = ["COLUMN", "GRID", "TABS", "TAB", "ROW"]


def get_dashboard(dashboard_id_or_slug: str,) -> Dashboard:
session = db.session()
qry = session.query(Dashboard)
if dashboard_id_or_slug.isdigit():
qry = qry.filter_by(id=int(dashboard_id_or_slug))
else:
qry = qry.filter_by(slug=dashboard_id_or_slug)
dashboard = qry.one_or_none()

if not dashboard:
abort(404)

return dashboard


def get_dashboard_changedon_dt(_self: Any, dashboard_id_or_slug: str) -> datetime:
"""
Get latest changed datetime for a dashboard. The change could be dashboard
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s/Get latest changed datetime for a dashboard.
/Get latest changed datetime for a dashboard and it's charts

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yes. I rename it to get_dashboard_latest_changedon_dt.

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can we get more specific with _self type ?

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I don't know what type to use here. do you have suggestion? (Sorry i am not an expert in Python)

metadata change, or any of its slice data change.

This function takes `self` since it must have the same signature as the
the decorated method.
"""
dash = get_dashboard(dashboard_id_or_slug)
dash_changed_on = dash.changed_on
slices_changed_on = max([s.changed_on for s in dash.slices])
# drop microseconds in datetime to match with last_modified header
return max(dash_changed_on, slices_changed_on).replace(microsecond=0)


def get_dashboard_extra_filters(
slice_id: int, dashboard_id: int
) -> List[Dict[str, Any]]:
Expand Down Expand Up @@ -490,6 +528,26 @@ def check_slice_perms(_self: Any, slice_id: int) -> None:
viz_obj.raise_for_access()


def check_dashboard_perms(_self: Any, dashboard_id_or_slug: str) -> None:
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best practice is to have a unit test for every function, it would be great if you could add some

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Yes, i agree. but this function is refactored out from dashboard function. it is tested in
https://github.com/apache/incubator-superset/blob/448a41a4e7563cafadea1e03feb5980151e8b56d/tests/security_tests.py#L665
I assume the old unit tests didn't break will be good enough.

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a good practice is to incrementally improve the state of the code, however it will be your call here

"""
Check if user can access a cached response from explore_json.

This function takes `self` since it must have the same signature as the
the decorated method.
"""

dash = get_dashboard(dashboard_id_or_slug)
datasources = list(dash.datasources)
if app.config["ENABLE_ACCESS_REQUEST"]:
for datasource in datasources:
if datasource and not security_manager.can_access_datasource(datasource):
flash(
__(security_manager.get_datasource_access_error_msg(datasource)),
"danger",
)
redirect("superset/request_access/?" f"dashboard_id={dash.id}&")


def _deserialize_results_payload(
payload: Union[bytes, str], query: Query, use_msgpack: Optional[bool] = False
) -> Dict[str, Any]:
Expand Down
12 changes: 12 additions & 0 deletions tests/utils_tests.py
Original file line number Diff line number Diff line change
Expand Up @@ -67,6 +67,7 @@
from superset.utils import schema
from superset.views.utils import (
build_extra_filters,
get_dashboard_changedon_dt,
get_form_data,
get_time_range_endpoints,
)
Expand Down Expand Up @@ -1134,3 +1135,14 @@ def test_get_form_data_token(self):
assert get_form_data_token({"token": "token_abcdefg1"}) == "token_abcdefg1"
generated_token = get_form_data_token({})
assert re.match(r"^token_[a-z0-9]{8}$", generated_token) is not None

def test_get_dashboard_changedon_dt(self) -> None:
slug = "world_health"
dashboard = db.session.query(Dashboard).filter_by(slug=slug).one()
dashboard_last_changedon = dashboard.changed_on
slices = dashboard.slices
slices_last_changedon = max([slc.changed_on for slc in slices])
# drop microsecond in datetime
assert get_dashboard_changedon_dt(self, slug) == max(
dashboard_last_changedon, slices_last_changedon
).replace(microsecond=0)