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views.py
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views.py
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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
import collections.abc
import contextlib
import copy
import datetime
import itertools
import json
import logging
import math
import operator
import os
import sys
import traceback
import warnings
from bisect import insort_left
from collections import defaultdict
from functools import cache, cached_property
from json import JSONDecodeError
from pathlib import Path
from typing import TYPE_CHECKING, Any, Collection, Iterator, Mapping, MutableMapping, Sequence
from urllib.parse import unquote, urlencode, urljoin, urlparse, urlsplit
import configupdater
import flask.json
import lazy_object_proxy
import re2
import sqlalchemy as sqla
from croniter import croniter
from flask import (
Response,
abort,
before_render_template,
current_app,
flash,
g,
has_request_context,
make_response,
redirect,
render_template,
request,
send_from_directory,
session as flask_session,
url_for,
)
from flask_appbuilder import BaseView, ModelView, expose
from flask_appbuilder._compat import as_unicode
from flask_appbuilder.actions import action
from flask_appbuilder.const import FLAMSG_ERR_SEC_ACCESS_DENIED
from flask_appbuilder.models.sqla.filters import BaseFilter
from flask_appbuilder.urltools import get_order_args, get_page_args, get_page_size_args
from flask_appbuilder.widgets import FormWidget
from flask_babel import lazy_gettext
from itsdangerous import URLSafeSerializer
from jinja2.utils import htmlsafe_json_dumps, pformat # type: ignore
from markupsafe import Markup, escape
from pendulum.datetime import DateTime
from pendulum.parsing.exceptions import ParserError
from sqlalchemy import and_, case, desc, func, inspect, or_, select, union_all
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import joinedload
from wtforms import BooleanField, validators
import airflow
from airflow import models, plugins_manager, settings
from airflow.api.common.airflow_health import get_airflow_health
from airflow.api.common.mark_tasks import (
set_dag_run_state_to_failed,
set_dag_run_state_to_queued,
set_dag_run_state_to_success,
set_state,
)
from airflow.assets import Asset, AssetAlias
from airflow.auth.managers.models.resource_details import AccessView, DagAccessEntity, DagDetails
from airflow.configuration import AIRFLOW_CONFIG, conf
from airflow.exceptions import (
AirflowConfigException,
AirflowException,
AirflowNotFoundException,
ParamValidationError,
RemovedInAirflow3Warning,
)
from airflow.executors.executor_loader import ExecutorLoader
from airflow.hooks.base import BaseHook
from airflow.jobs.job import Job
from airflow.jobs.scheduler_job_runner import SchedulerJobRunner
from airflow.jobs.triggerer_job_runner import TriggererJobRunner
from airflow.models import Connection, DagModel, DagTag, Log, Trigger, XCom
from airflow.models.asset import AssetDagRunQueue, AssetEvent, AssetModel, DagScheduleAssetReference
from airflow.models.dag import get_asset_triggered_next_run_info
from airflow.models.dagrun import RUN_ID_REGEX, DagRun, DagRunType
from airflow.models.errors import ParseImportError
from airflow.models.serialized_dag import SerializedDagModel
from airflow.models.taskinstance import TaskInstance, TaskInstanceNote
from airflow.plugins_manager import PLUGINS_ATTRIBUTES_TO_DUMP
from airflow.providers_manager import ProvidersManager
from airflow.security import permissions
from airflow.ti_deps.dep_context import DepContext
from airflow.ti_deps.dependencies_deps import SCHEDULER_QUEUED_DEPS
from airflow.timetables._cron import CronMixin
from airflow.timetables.base import DataInterval, TimeRestriction
from airflow.timetables.simple import ContinuousTimetable
from airflow.utils import json as utils_json, timezone, usage_data_collection, yaml
from airflow.utils.airflow_flask_app import get_airflow_app
from airflow.utils.api_migration import mark_fastapi_migration_done
from airflow.utils.dag_edges import dag_edges
from airflow.utils.db import get_query_count
from airflow.utils.docs import get_doc_url_for_provider, get_docs_url
from airflow.utils.helpers import exactly_one
from airflow.utils.log import secrets_masker
from airflow.utils.log.log_reader import TaskLogReader
from airflow.utils.net import get_hostname
from airflow.utils.session import NEW_SESSION, create_session, provide_session
from airflow.utils.state import DagRunState, State, TaskInstanceState
from airflow.utils.strings import to_boolean
from airflow.utils.task_group import TaskGroup, task_group_to_dict
from airflow.utils.timezone import td_format, utcnow
from airflow.utils.types import NOTSET, DagRunTriggeredByType
from airflow.version import version
from airflow.www import auth, utils as wwwutils
from airflow.www.decorators import action_logging, gzipped
from airflow.www.extensions.init_auth_manager import get_auth_manager, is_auth_manager_initialized
from airflow.www.forms import (
DagRunEditForm,
DateTimeForm,
TaskInstanceEditForm,
create_connection_form_class,
)
from airflow.www.widgets import AirflowModelListWidget, AirflowVariableShowWidget
if TYPE_CHECKING:
from sqlalchemy.orm import Session
from airflow.auth.managers.models.batch_apis import IsAuthorizedDagRequest
from airflow.models.dag import DAG
from airflow.models.operator import Operator
PAGE_SIZE = conf.getint("webserver", "page_size")
FILTER_TAGS_COOKIE = "tags_filter"
FILTER_STATUS_COOKIE = "dag_status_filter"
FILTER_LASTRUN_COOKIE = "last_run_filter"
LINECHART_X_AXIS_TICKFORMAT = (
"function (d, i) { let xLabel;"
"if (i === undefined) {xLabel = d3.time.format('%H:%M, %d %b %Y')(new Date(parseInt(d)));"
"} else {xLabel = d3.time.format('%H:%M, %d %b')(new Date(parseInt(d)));} return xLabel;}"
)
SENSITIVE_FIELD_PLACEHOLDER = "RATHER_LONG_SENSITIVE_FIELD_PLACEHOLDER"
logger = logging.getLogger(__name__)
def sanitize_args(args: dict[str, Any]) -> dict[str, Any]:
"""
Remove all parameters starting with `_`.
:param args: arguments of request
:return: copy of the dictionary passed as input with args starting with `_` removed.
"""
return {key: value for key, value in args.items() if not key.startswith("_")}
# Following the release of https://github.com/python/cpython/issues/102153 in Python 3.9.17 on
# June 6, 2023, we are adding extra sanitization of the urls passed to get_safe_url method to make it works
# the same way regardless if the user uses latest Python patchlevel versions or not. This also follows
# a recommended solution by the Python core team.
#
# From: https://github.com/python/cpython/commit/d28bafa2d3e424b6fdcfd7ae7cde8e71d7177369
#
# We recommend that users of these APIs where the values may be used anywhere
# with security implications code defensively. Do some verification within your
# code before trusting a returned component part. Does that ``scheme`` make
# sense? Is that a sensible ``path``? Is there anything strange about that
# ``hostname``? etc.
#
# C0 control and space to be stripped per WHATWG spec.
# == "".join([chr(i) for i in range(0, 0x20 + 1)])
_WHATWG_C0_CONTROL_OR_SPACE = (
"\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x0c"
"\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f "
)
def get_safe_url(url):
"""Given a user-supplied URL, ensure it points to our web server."""
if not url:
return url_for("Airflow.index")
# If the url contains semicolon, redirect it to homepage to avoid
# potential XSS. (Similar to https://github.com/python/cpython/pull/24297/files (bpo-42967))
if ";" in unquote(url):
return url_for("Airflow.index")
url = url.lstrip(_WHATWG_C0_CONTROL_OR_SPACE)
host_url = urlsplit(request.host_url)
redirect_url = urlsplit(urljoin(request.host_url, url))
if not (redirect_url.scheme in ("http", "https") and host_url.netloc == redirect_url.netloc):
return url_for("Airflow.index")
# This will ensure we only redirect to the right scheme/netloc
return redirect_url.geturl()
def build_scarf_url(dags_count: int) -> str:
"""
Build the URL for the Scarf usage data collection.
:meta private:
"""
if not settings.is_usage_data_collection_enabled():
return ""
scarf_domain = "https://apacheairflow.gateway.scarf.sh"
platform_sys, platform_arch = usage_data_collection.get_platform_info()
db_version = usage_data_collection.get_database_version()
db_name = usage_data_collection.get_database_name()
executor = usage_data_collection.get_executor()
python_version = usage_data_collection.get_python_version()
plugin_counts = usage_data_collection.get_plugin_counts()
plugins_count = plugin_counts["plugins"]
flask_blueprints_count = plugin_counts["flask_blueprints"]
appbuilder_views_count = plugin_counts["appbuilder_views"]
appbuilder_menu_items_count = plugin_counts["appbuilder_menu_items"]
timetables_count = plugin_counts["timetables"]
dag_bucket = usage_data_collection.to_bucket(dags_count)
plugins_bucket = usage_data_collection.to_bucket(plugins_count)
timetable_bucket = usage_data_collection.to_bucket(timetables_count)
# Path Format:
# /{version}/{python_version}/{platform}/{arch}/{database}/{db_version}/{executor}/{num_dags}/{plugin_count}/{flask_blueprint_count}/{appbuilder_view_count}/{appbuilder_menu_item_count}/{timetables}
#
# This path redirects to a Pixel tracking URL
scarf_url = (
f"{scarf_domain}/webserver"
f"/{version}/{python_version}"
f"/{platform_sys}/{platform_arch}/{db_name}/{db_version}/{executor}/{dag_bucket}"
f"/{plugins_bucket}/{flask_blueprints_count}/{appbuilder_views_count}/{appbuilder_menu_items_count}/{timetable_bucket}"
)
return scarf_url
def get_date_time_num_runs_dag_runs_form_data(www_request, session, dag):
"""Get Execution Data, Base Date & Number of runs from a Request."""
date_time = www_request.args.get("execution_date")
run_id = www_request.args.get("run_id")
# First check run id, then check execution date, if not fall back on the latest dagrun
if run_id:
dagrun = dag.get_dagrun(run_id=run_id, session=session)
date_time = dagrun.execution_date
elif date_time:
date_time = _safe_parse_datetime(date_time)
else:
date_time = dag.get_latest_execution_date(session=session) or timezone.utcnow()
base_date = www_request.args.get("base_date")
if base_date:
base_date = _safe_parse_datetime(base_date)
else:
# The DateTimeField widget truncates milliseconds and would loose
# the first dag run. Round to next second.
base_date = (date_time + datetime.timedelta(seconds=1)).replace(microsecond=0)
default_dag_run = conf.getint("webserver", "default_dag_run_display_number")
num_runs = www_request.args.get("num_runs", default=default_dag_run, type=int)
# When base_date has been rounded up because of the DateTimeField widget, we want
# to use the execution_date as the starting point for our query just to ensure a
# link targeting a specific dag run actually loads that dag run. If there are
# more than num_runs dag runs in the "rounded period" then those dagruns would get
# loaded and the actual requested run would be excluded by the limit(). Once
# the user has changed base date to be anything else we want to use that instead.
query_date = base_date
if date_time < base_date <= date_time + datetime.timedelta(seconds=1):
query_date = date_time
drs = session.scalars(
select(DagRun)
.where(DagRun.dag_id == dag.dag_id, DagRun.execution_date <= query_date)
.order_by(desc(DagRun.execution_date))
.limit(num_runs)
).all()
dr_choices = []
dr_state = None
for dr in drs:
dr_choices.append((dr.execution_date.isoformat(), dr.run_id))
if date_time == dr.execution_date:
dr_state = dr.state
# Happens if base_date was changed and the selected dag run is not in result
if not dr_state and drs:
dr = drs[0]
date_time = dr.execution_date
dr_state = dr.state
return {
"dttm": date_time,
"base_date": base_date,
"num_runs": num_runs,
"execution_date": date_time.isoformat(),
"dr_choices": dr_choices,
"dr_state": dr_state,
}
def _safe_parse_datetime(v, *, allow_empty=False, strict=True) -> datetime.datetime | None:
"""
Parse datetime and return error message for invalid dates.
:param v: the string value to be parsed
:param allow_empty: Set True to return none if empty str or None
:param strict: if False, it will fall back on the dateutil parser if unable to parse with pendulum
"""
if allow_empty is True and not v:
return None
try:
return timezone.parse(v, strict=strict)
except (TypeError, ParserError):
abort(400, f"Invalid datetime: {v!r}")
def node_dict(node_id, label, node_class):
return {
"id": node_id,
"value": {"label": label, "rx": 5, "ry": 5, "class": node_class},
}
def dag_to_grid(dag: DagModel, dag_runs: Sequence[DagRun], session: Session) -> dict[str, Any]:
"""
Create a nested dict representation of the DAG's TaskGroup and its children.
Used to construct the Graph and Grid views.
"""
query = session.execute(
select(
TaskInstance.task_id,
TaskInstance.run_id,
TaskInstance.state,
TaskInstance.try_number,
func.min(TaskInstanceNote.content).label("note"),
func.count(func.coalesce(TaskInstance.state, sqla.literal("no_status"))).label("state_count"),
func.min(TaskInstance.queued_dttm).label("queued_dttm"),
func.min(TaskInstance.start_date).label("start_date"),
func.max(TaskInstance.end_date).label("end_date"),
)
.join(TaskInstance.task_instance_note, isouter=True)
.where(
TaskInstance.dag_id == dag.dag_id,
TaskInstance.run_id.in_([dag_run.run_id for dag_run in dag_runs]),
)
.group_by(TaskInstance.task_id, TaskInstance.run_id, TaskInstance.state, TaskInstance.try_number)
.order_by(TaskInstance.task_id, TaskInstance.run_id)
)
grouped_tis: dict[str, list[TaskInstance]] = collections.defaultdict(
list,
((task_id, list(tis)) for task_id, tis in itertools.groupby(query, key=lambda ti: ti.task_id)),
)
@cache
def get_task_group_children_getter() -> operator.methodcaller:
sort_order = conf.get("webserver", "grid_view_sorting_order", fallback="topological")
if sort_order == "topological":
return operator.methodcaller("topological_sort")
if sort_order == "hierarchical_alphabetical":
return operator.methodcaller("hierarchical_alphabetical_sort")
raise AirflowConfigException(f"Unsupported grid_view_sorting_order: {sort_order}")
def task_group_to_grid(item: Operator | TaskGroup) -> dict[str, Any]:
if not isinstance(item, TaskGroup):
def _mapped_summary(ti_summaries: list[TaskInstance]) -> Iterator[dict[str, Any]]:
run_id = ""
record: dict[str, Any] = {}
def set_overall_state(record):
for state in wwwutils.priority:
if state in record["mapped_states"]:
record["state"] = state
break
# When turning the dict into JSON we can't have None as a key,
# so use the string that the UI does.
with contextlib.suppress(KeyError):
record["mapped_states"]["no_status"] = record["mapped_states"].pop(None)
for ti_summary in ti_summaries:
if run_id != ti_summary.run_id:
run_id = ti_summary.run_id
if record:
set_overall_state(record)
yield record
record = {
"task_id": ti_summary.task_id,
"run_id": run_id,
"queued_dttm": ti_summary.queued_dttm,
"start_date": ti_summary.start_date,
"end_date": ti_summary.end_date,
"mapped_states": {ti_summary.state: ti_summary.state_count},
"state": None, # We change this before yielding
}
continue
record["queued_dttm"] = min(
filter(None, [record["queued_dttm"], ti_summary.queued_dttm]), default=None
)
record["start_date"] = min(
filter(None, [record["start_date"], ti_summary.start_date]), default=None
)
# Sometimes the start date of a group might be before the queued date of the group
if (
record["queued_dttm"]
and record["start_date"]
and record["queued_dttm"] > record["start_date"]
):
record["queued_dttm"] = None
record["end_date"] = max(
filter(None, [record["end_date"], ti_summary.end_date]), default=None
)
record["mapped_states"][ti_summary.state] = ti_summary.state_count
if record:
set_overall_state(record)
yield record
if item_is_mapped := item.get_needs_expansion():
instances = list(_mapped_summary(grouped_tis[item.task_id]))
else:
instances = [
{
"task_id": task_instance.task_id,
"run_id": task_instance.run_id,
"state": task_instance.state,
"queued_dttm": task_instance.queued_dttm,
"start_date": task_instance.start_date,
"end_date": task_instance.end_date,
"try_number": task_instance.try_number,
"note": task_instance.note,
}
for task_instance in grouped_tis[item.task_id]
]
setup_teardown_type = {}
if item.is_setup is True:
setup_teardown_type["setupTeardownType"] = "setup"
elif item.is_teardown is True:
setup_teardown_type["setupTeardownType"] = "teardown"
return {
"id": item.task_id,
"instances": instances,
"label": item.label,
"extra_links": item.extra_links,
"is_mapped": item_is_mapped,
"has_outlet_datasets": any(isinstance(i, (Asset, AssetAlias)) for i in (item.outlets or [])),
"operator": item.operator_name,
"trigger_rule": item.trigger_rule,
**setup_teardown_type,
}
# Task Group
task_group = item
children = [task_group_to_grid(child) for child in get_task_group_children_getter()(item)]
def get_summary(dag_run: DagRun):
child_instances = [
item
for sublist in (child["instances"] for child in children if "instances" in child)
for item in sublist
if item["run_id"] == dag_run.run_id
if item
]
children_queued_dttms = (item["queued_dttm"] for item in child_instances)
children_start_dates = (item["start_date"] for item in child_instances)
children_end_dates = (item["end_date"] for item in child_instances)
children_states = {item["state"] for item in child_instances}
group_state = next((state for state in wwwutils.priority if state in children_states), None)
group_queued_dttm = min(filter(None, children_queued_dttms), default=None)
group_start_date = min(filter(None, children_start_dates), default=None)
group_end_date = max(filter(None, children_end_dates), default=None)
# Sometimes the start date of a group might be before the queued date of the group
if group_queued_dttm and group_start_date and group_queued_dttm > group_start_date:
group_queued_dttm = None
return {
"task_id": task_group.group_id,
"run_id": dag_run.run_id,
"state": group_state,
"queued_dttm": group_queued_dttm,
"start_date": group_start_date,
"end_date": group_end_date,
}
def get_mapped_group_summaries():
mapped_ti_query = session.execute(
select(TaskInstance.task_id, TaskInstance.state, TaskInstance.run_id, TaskInstance.map_index)
.where(
TaskInstance.dag_id == dag.dag_id,
TaskInstance.task_id.in_(child["id"] for child in children),
TaskInstance.run_id.in_(r.run_id for r in dag_runs),
)
.order_by(TaskInstance.task_id, TaskInstance.run_id)
)
# Group tis by run_id, and then map_index.
mapped_tis: Mapping[str, Mapping[int, list[TaskInstance]]] = defaultdict(
lambda: defaultdict(list)
)
for ti in mapped_ti_query:
mapped_tis[ti.run_id][ti.map_index].append(ti)
def get_mapped_group_summary(run_id: str, mapped_instances: Mapping[int, list[TaskInstance]]):
child_instances = [
item
for sublist in (child["instances"] for child in children if "instances" in child)
for item in sublist
if item and item["run_id"] == run_id
]
children_queued_dttms = (item["queued_dttm"] for item in child_instances)
children_start_dates = (item["start_date"] for item in child_instances)
children_end_dates = (item["end_date"] for item in child_instances)
children_states = {item["state"] for item in child_instances}
# TODO: This assumes TI map index has a one-to-one mapping to
# its parent mapped task group, which will not be true when we
# allow nested mapping in the future.
mapped_states: MutableMapping[str, int] = defaultdict(int)
for mi_values in mapped_instances.values():
child_states = {mi.state for mi in mi_values}
state = next(s for s in wwwutils.priority if s in child_states)
value = state.value if state is not None else "no_status"
mapped_states[value] += 1
group_state = next((state for state in wwwutils.priority if state in children_states), None)
group_queued_dttm = min(filter(None, children_queued_dttms), default=None)
group_start_date = min(filter(None, children_start_dates), default=None)
group_end_date = max(filter(None, children_end_dates), default=None)
return {
"task_id": task_group.group_id,
"run_id": run_id,
"state": group_state,
"queued_dttm": group_queued_dttm,
"start_date": group_start_date,
"end_date": group_end_date,
"mapped_states": mapped_states,
}
return [get_mapped_group_summary(run_id, tis) for run_id, tis in mapped_tis.items()]
# We don't need to calculate summaries for the root
if task_group.group_id is None:
return {
"id": task_group.group_id,
"label": task_group.label,
"children": children,
"instances": [],
}
if next(task_group.iter_mapped_task_groups(), None) is not None:
return {
"id": task_group.group_id,
"label": task_group.label,
"children": children,
"tooltip": task_group.tooltip,
"instances": get_mapped_group_summaries(),
"is_mapped": True,
}
group_summaries = [get_summary(dr) for dr in dag_runs]
return {
"id": task_group.group_id,
"label": task_group.label,
"children": children,
"tooltip": task_group.tooltip,
"instances": group_summaries,
}
return task_group_to_grid(dag.task_group)
def get_key_paths(input_dict):
"""Return a list of dot-separated dictionary paths."""
for key, value in input_dict.items():
if isinstance(value, dict):
for sub_key in get_key_paths(value):
yield f"{key}.{sub_key}"
else:
yield key
def get_value_from_path(key_path, content):
"""Return the value from a dictionary based on dot-separated path of keys."""
elem = content
for x in key_path.strip(".").split("."):
try:
x = int(x)
elem = elem[x]
except ValueError:
elem = elem.get(x)
return elem
def get_task_stats_from_query(qry):
"""
Return a dict of the task quantity, grouped by dag id and task status.
:param qry: The data in the format (<dag id>, <task state>, <is dag running>, <task count>),
ordered by <dag id> and <is dag running>
"""
data = {}
last_dag_id = None
has_running_dags = False
for dag_id, state, is_dag_running, count in qry:
if last_dag_id != dag_id:
last_dag_id = dag_id
has_running_dags = False
elif not is_dag_running and has_running_dags:
continue
if is_dag_running:
has_running_dags = True
if dag_id not in data:
data[dag_id] = {}
data[dag_id][state] = count
return data
def redirect_or_json(origin, msg, status="", status_code=200):
"""
Return json which allows us to more elegantly handle side effects in-page.
This is useful because some endpoints are called by javascript.
"""
if request.headers.get("Accept") == "application/json":
if status == "error" and status_code == 200:
status_code = 500
return Response(response=msg, status=status_code, mimetype="application/json")
else:
if status:
flash(msg, status)
else:
flash(msg)
return redirect(origin)
######################################################################################
# Error handlers
######################################################################################
def not_found(error):
"""Show Not Found on screen for any error in the Webserver."""
return (
render_template(
"airflow/error.html",
hostname=get_hostname() if conf.getboolean("webserver", "EXPOSE_HOSTNAME") else "",
status_code=404,
error_message="Page cannot be found.",
),
404,
)
def method_not_allowed(error):
"""Show Method Not Allowed on screen for any error in the Webserver."""
return (
render_template(
"airflow/error.html",
hostname=get_hostname() if conf.getboolean("webserver", "EXPOSE_HOSTNAME") else "",
status_code=405,
error_message="Received an invalid request.",
),
405,
)
def show_traceback(error):
"""Show Traceback for a given error."""
if not is_auth_manager_initialized():
# this is the case where internal API component is used and auth manager is not used/initialized
return ("Error calling the API", 500)
is_logged_in = get_auth_manager().is_logged_in()
return (
render_template(
"airflow/traceback.html",
python_version=sys.version.split(" ")[0] if is_logged_in else "redacted",
airflow_version=version if is_logged_in else "redacted",
hostname=(
get_hostname()
if conf.getboolean("webserver", "EXPOSE_HOSTNAME") and is_logged_in
else "redacted"
),
info=(
traceback.format_exc()
if conf.getboolean("webserver", "EXPOSE_STACKTRACE") and is_logged_in
else "Error! Please contact server admin."
),
),
500,
)
######################################################################################
# BaseViews
######################################################################################
class AirflowBaseView(BaseView):
"""Base View to set Airflow related properties."""
from airflow import macros
route_base = ""
extra_args = {
# Make our macros available to our UI templates too.
"macros": macros,
"get_docs_url": get_docs_url,
}
if not conf.getboolean("core", "unit_test_mode"):
executor, _ = ExecutorLoader.import_default_executor_cls()
extra_args["sqlite_warning"] = settings.engine and (settings.engine.dialect.name == "sqlite")
if not executor.is_production:
extra_args["production_executor_warning"] = executor.__name__
extra_args["otel_metrics_on"] = conf.getboolean("metrics", "otel_on")
extra_args["otel_traces_on"] = conf.getboolean("traces", "otel_on")
line_chart_attr = {
"legend.maxKeyLength": 200,
}
def render_template(self, *args, **kwargs):
# Add triggerer_job only if we need it
if TriggererJobRunner.is_needed():
kwargs["triggerer_job"] = lazy_object_proxy.Proxy(TriggererJobRunner.most_recent_job)
if "dag" in kwargs:
kwargs["can_edit_dag"] = get_auth_manager().is_authorized_dag(
method="PUT", details=DagDetails(id=kwargs["dag"].dag_id)
)
url_serializer = URLSafeSerializer(current_app.config["SECRET_KEY"])
kwargs["dag_file_token"] = url_serializer.dumps(kwargs["dag"].fileloc)
return super().render_template(
*args,
# Cache this at most once per request, not for the lifetime of the view instance
scheduler_job=lazy_object_proxy.Proxy(SchedulerJobRunner.most_recent_job),
**kwargs,
)
class Airflow(AirflowBaseView):
"""Main Airflow application."""
@expose("/health")
def health(self):
"""
Check the health status of the Airflow instance.
Includes metadatabase, scheduler and triggerer.
"""
airflow_health_status = get_airflow_health()
return flask.json.jsonify(airflow_health_status)
@expose("/home")
@auth.has_access_view()
def index(self):
"""Home view."""
from airflow.models.dag import DagOwnerAttributes
hide_paused_dags_by_default = conf.getboolean("webserver", "hide_paused_dags_by_default")
default_dag_run = conf.getint("webserver", "default_dag_run_display_number")
num_runs = request.args.get("num_runs", default=default_dag_run, type=int)
current_page = request.args.get("page", default=0, type=int)
arg_search_query = request.args.get("search")
arg_tags_filter = request.args.getlist("tags")
arg_status_filter = request.args.get("status")
arg_lastrun_filter = request.args.get("lastrun")
arg_sorting_key = request.args.get("sorting_key", "dag_id")
arg_sorting_direction = request.args.get("sorting_direction", default="asc")
if request.args.get("reset_tags") is not None:
flask_session[FILTER_TAGS_COOKIE] = None
# Remove the reset_tags=reset from the URL
return redirect(url_for("Airflow.index"))
if arg_lastrun_filter == "reset_filter":
flask_session[FILTER_LASTRUN_COOKIE] = None
return redirect(url_for("Airflow.index"))
filter_tags_cookie_val = flask_session.get(FILTER_TAGS_COOKIE)
filter_lastrun_cookie_val = flask_session.get(FILTER_LASTRUN_COOKIE)
# update filter args in url from session values if needed
if (not arg_tags_filter and filter_tags_cookie_val) or (
not arg_lastrun_filter and filter_lastrun_cookie_val
):
tags = arg_tags_filter or (filter_tags_cookie_val and filter_tags_cookie_val.split(","))
lastrun = arg_lastrun_filter or filter_lastrun_cookie_val
return redirect(url_for("Airflow.index", tags=tags, lastrun=lastrun))
if arg_tags_filter:
flask_session[FILTER_TAGS_COOKIE] = ",".join(arg_tags_filter)
if arg_lastrun_filter:
arg_lastrun_filter = arg_lastrun_filter.strip().lower()
flask_session[FILTER_LASTRUN_COOKIE] = arg_lastrun_filter
if arg_status_filter is None:
filter_status_cookie_val = flask_session.get(FILTER_STATUS_COOKIE)
if filter_status_cookie_val:
arg_status_filter = filter_status_cookie_val
else:
arg_status_filter = "active" if hide_paused_dags_by_default else "all"
flask_session[FILTER_STATUS_COOKIE] = arg_status_filter
else:
status = arg_status_filter.strip().lower()
flask_session[FILTER_STATUS_COOKIE] = status
arg_status_filter = status
dags_per_page = PAGE_SIZE
start = current_page * dags_per_page
end = start + dags_per_page
# Get all the dag id the user could access
filter_dag_ids = get_auth_manager().get_permitted_dag_ids(user=g.user)
with create_session() as session:
# read orm_dags from the db
dags_query = select(DagModel).where(DagModel.is_active)
if arg_search_query:
escaped_arg_search_query = arg_search_query.replace("_", r"\_")
dags_query = dags_query.where(
DagModel.dag_id.ilike("%" + escaped_arg_search_query + "%", escape="\\")
| DagModel._dag_display_property_value.ilike(
"%" + escaped_arg_search_query + "%", escape="\\"
)
| DagModel.owners.ilike("%" + escaped_arg_search_query + "%", escape="\\")
)
if arg_tags_filter:
dags_query = dags_query.where(DagModel.tags.any(DagTag.name.in_(arg_tags_filter)))
dags_query = dags_query.where(DagModel.dag_id.in_(filter_dag_ids))
filtered_dag_count = get_query_count(dags_query, session=session)
if filtered_dag_count == 0 and len(arg_tags_filter):
flash(
"No matching DAG tags found.",
"warning",
)
flask_session[FILTER_TAGS_COOKIE] = None
return redirect(url_for("Airflow.index"))
# find DAGs which have a RUNNING DagRun
running_dags = dags_query.join(DagRun, DagModel.dag_id == DagRun.dag_id).where(
(DagRun.state == DagRunState.RUNNING) | (DagRun.state == DagRunState.QUEUED)
)
lastrun_running_is_paused = session.execute(
running_dags.with_only_columns(DagModel.dag_id, DagModel.is_paused).distinct(DagModel.dag_id)
).all()
lastrun_running_count_active = len(
list(filter(lambda x: not x.is_paused, lastrun_running_is_paused))
)
lastrun_running_count_paused = len(list(filter(lambda x: x.is_paused, lastrun_running_is_paused)))
# find DAGs for which the latest DagRun is FAILED
subq_all = (
select(DagRun.dag_id, func.max(DagRun.start_date).label("start_date"))
.group_by(DagRun.dag_id)
.subquery()
)
subq_failed = (
select(DagRun.dag_id, func.max(DagRun.start_date).label("start_date"))
.where(DagRun.state == DagRunState.FAILED)
.group_by(DagRun.dag_id)
.subquery()
)
subq_join = (
select(subq_all.c.dag_id, subq_all.c.start_date)
.join(
subq_failed,
and_(
subq_all.c.dag_id == subq_failed.c.dag_id,
subq_all.c.start_date == subq_failed.c.start_date,
),
)
.subquery()
)
failed_dags = dags_query.join(subq_join, DagModel.dag_id == subq_join.c.dag_id)
lastrun_failed_is_paused_count = dict(
session.execute(
failed_dags.with_only_columns(DagModel.is_paused, func.count()).group_by(
DagModel.is_paused
)
).all()
)
lastrun_failed_count_active = lastrun_failed_is_paused_count.get(False, 0)
lastrun_failed_count_paused = lastrun_failed_is_paused_count.get(True, 0)
if arg_lastrun_filter == "running":
dags_query = running_dags
elif arg_lastrun_filter == "failed":
dags_query = failed_dags
all_dags = dags_query
active_dags = dags_query.where(~DagModel.is_paused)
paused_dags = dags_query.where(DagModel.is_paused)
status_is_paused = session.execute(
all_dags.with_only_columns(DagModel.dag_id, DagModel.is_paused).distinct(DagModel.dag_id)
).all()
status_count_active = len(list(filter(lambda x: not x.is_paused, status_is_paused)))
status_count_paused = len(list(filter(lambda x: x.is_paused, status_is_paused)))
all_dags_count = status_count_active + status_count_paused
if arg_status_filter == "active":
current_dags = active_dags
num_of_all_dags = status_count_active
lastrun_count_running = lastrun_running_count_active
lastrun_count_failed = lastrun_failed_count_active
elif arg_status_filter == "paused":
current_dags = paused_dags
num_of_all_dags = status_count_paused
lastrun_count_running = lastrun_running_count_paused
lastrun_count_failed = lastrun_failed_count_paused
else:
current_dags = all_dags
num_of_all_dags = all_dags_count
lastrun_count_running = lastrun_running_count_active + lastrun_running_count_paused
lastrun_count_failed = lastrun_failed_count_active + lastrun_failed_count_paused
if arg_sorting_key == "dag_id":
if arg_sorting_direction == "desc":
current_dags = current_dags.order_by(
func.coalesce(DagModel.dag_display_name, DagModel.dag_id).desc()
)
else:
current_dags = current_dags.order_by(
func.coalesce(DagModel.dag_display_name, DagModel.dag_id)
)
elif arg_sorting_key == "last_dagrun":
dag_run_subquery = (
select(
DagRun.dag_id,
sqla.func.max(DagRun.execution_date).label("max_execution_date"),
)
.group_by(DagRun.dag_id)
.subquery()
)
current_dags = current_dags.outerjoin(
dag_run_subquery, and_(dag_run_subquery.c.dag_id == DagModel.dag_id)
)
null_case = case((dag_run_subquery.c.max_execution_date.is_(None), 1), else_=0)
if arg_sorting_direction == "desc":
current_dags = current_dags.order_by(
null_case, dag_run_subquery.c.max_execution_date.desc()
)
else:
current_dags = current_dags.order_by(null_case, dag_run_subquery.c.max_execution_date)
else:
sort_column = DagModel.__table__.c.get(arg_sorting_key)
if sort_column is not None:
null_case = case((sort_column.is_(None), 1), else_=0)
if arg_sorting_direction == "desc":
current_dags = current_dags.order_by(null_case, sort_column.desc())
else:
current_dags = current_dags.order_by(null_case, sort_column)
dags: list[DagModel] = (