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views.py
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views.py
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# -*- coding: utf-8 -*-
#
# 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.
#
import copy
import itertools
import json
import logging
import math
import os
import socket
import traceback
from collections import defaultdict
from datetime import timedelta
import markdown
import nvd3
import pendulum
import sqlalchemy as sqla
from flask import (
redirect, request, Markup, Response, render_template,
make_response, flash, jsonify, send_file, escape, url_for)
from flask._compat import PY2
from flask_appbuilder import BaseView, ModelView, expose, has_access
from flask_appbuilder.actions import action
from flask_appbuilder.models.sqla.filters import BaseFilter
from flask_babel import lazy_gettext
from past.builtins import unicode
from pygments import highlight, lexers
from pygments.formatters import HtmlFormatter
from sqlalchemy import func, or_, desc, and_, union_all
from wtforms import SelectField, validators
import airflow
from airflow import configuration as conf
from airflow import models, jobs
from airflow import settings
from airflow.api.common.experimental.mark_tasks import (set_dag_run_state_to_success,
set_dag_run_state_to_failed)
from airflow.models import DagRun, errors
from airflow.models.connection import Connection
from airflow.models.slamiss import SlaMiss
from airflow.models.taskfail import TaskFail
from airflow.models.xcom import XCom
from airflow.ti_deps.dep_context import DepContext, QUEUE_DEPS, SCHEDULER_DEPS
from airflow.utils import timezone
from airflow.utils.dates import infer_time_unit, scale_time_units
from airflow.utils.db import provide_session
from airflow.utils.helpers import alchemy_to_dict, render_log_filename
from airflow.utils.json import json_ser
from airflow.utils.state import State
from airflow.www import utils as wwwutils
from airflow.www.app import app, appbuilder
from airflow.www.decorators import action_logging, gzipped, has_dag_access
from airflow.www.forms import (DateTimeForm, DateTimeWithNumRunsForm,
DateTimeWithNumRunsWithDagRunsForm,
DagRunForm, ConnectionForm)
from airflow.www.widgets import AirflowModelListWidget
if PY2:
from cStringIO import StringIO
else:
from io import StringIO
PAGE_SIZE = conf.getint('webserver', 'page_size')
if os.environ.get('SKIP_DAGS_PARSING') != 'True':
dagbag = models.DagBag(settings.DAGS_FOLDER)
else:
dagbag = models.DagBag
def get_date_time_num_runs_dag_runs_form_data(request, session, dag):
dttm = request.args.get('execution_date')
if dttm:
dttm = pendulum.parse(dttm)
else:
dttm = dag.latest_execution_date or timezone.utcnow()
base_date = request.args.get('base_date')
if base_date:
base_date = timezone.parse(base_date)
else:
# The DateTimeField widget truncates milliseconds and would loose
# the first dag run. Round to next second.
base_date = (dttm + timedelta(seconds=1)).replace(microsecond=0)
default_dag_run = conf.getint('webserver', 'default_dag_run_display_number')
num_runs = request.args.get('num_runs')
num_runs = int(num_runs) if num_runs else default_dag_run
DR = models.DagRun
drs = (
session.query(DR)
.filter(
DR.dag_id == dag.dag_id,
DR.execution_date <= base_date)
.order_by(desc(DR.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 dttm == 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]
dttm = dr.execution_date
dr_state = dr.state
return {
'dttm': dttm,
'base_date': base_date,
'num_runs': num_runs,
'execution_date': dttm.isoformat(),
'dr_choices': dr_choices,
'dr_state': dr_state,
}
######################################################################################
# BaseViews
######################################################################################
class AirflowBaseView(BaseView):
route_base = ''
def render(self, template, **context):
return render_template(template,
base_template=self.appbuilder.base_template,
appbuilder=self.appbuilder,
**context)
class Airflow(AirflowBaseView):
@expose('/health')
@provide_session
def health(self, session=None):
"""
An endpoint helping check the health status of the Airflow instance,
including metadatabase and scheduler.
"""
BJ = jobs.BaseJob
payload = {}
scheduler_health_check_threshold = timedelta(seconds=conf.getint('scheduler',
'scheduler_health_check_threshold'
))
latest_scheduler_heartbeat = None
payload['metadatabase'] = {'status': 'healthy'}
try:
latest_scheduler_heartbeat = session.query(func.max(BJ.latest_heartbeat)).\
filter(BJ.state == 'running', BJ.job_type == 'SchedulerJob').\
scalar()
except Exception:
payload['metadatabase']['status'] = 'unhealthy'
if not latest_scheduler_heartbeat:
scheduler_status = 'unhealthy'
else:
if timezone.utcnow() - latest_scheduler_heartbeat <= scheduler_health_check_threshold:
scheduler_status = 'healthy'
else:
scheduler_status = 'unhealthy'
payload['scheduler'] = {'status': scheduler_status,
'latest_scheduler_heartbeat': str(latest_scheduler_heartbeat)}
return wwwutils.json_response(payload)
@expose('/home')
@has_access
@provide_session
def index(self, session=None):
DM = models.DagModel
hide_paused_dags_by_default = conf.getboolean('webserver',
'hide_paused_dags_by_default')
show_paused_arg = request.args.get('showPaused', 'None')
default_dag_run = conf.getint('webserver', 'default_dag_run_display_number')
num_runs = request.args.get('num_runs')
num_runs = int(num_runs) if num_runs else default_dag_run
def get_int_arg(value, default=0):
try:
return int(value)
except ValueError:
return default
arg_current_page = request.args.get('page', '0')
arg_search_query = request.args.get('search', None)
dags_per_page = PAGE_SIZE
current_page = get_int_arg(arg_current_page, default=0)
if show_paused_arg.strip().lower() == 'false':
hide_paused = True
elif show_paused_arg.strip().lower() == 'true':
hide_paused = False
else:
hide_paused = hide_paused_dags_by_default
# read orm_dags from the db
query = session.query(DM).filter(
~DM.is_subdag, DM.is_active
)
# optionally filter out "paused" dags
if hide_paused:
query = query.filter(~DM.is_paused)
if arg_search_query:
query = query.filter(sqla.func.lower(DM.dag_id) == arg_search_query.lower())
import_errors = session.query(errors.ImportError).all()
for ie in import_errors:
flash(
"Broken DAG: [{ie.filename}] {ie.stacktrace}".format(ie=ie),
"error")
from airflow.plugins_manager import import_errors as plugin_import_errors
for filename, stacktrace in plugin_import_errors.items():
flash(
"Broken plugin: [{filename}] {stacktrace}".format(
stacktrace=stacktrace,
filename=filename),
"error")
# Get all the dag id the user could access
filter_dag_ids = appbuilder.sm.get_accessible_dag_ids()
if 'all_dags' not in filter_dag_ids:
query = query.filter(DM.dag_id.in_(filter_dag_ids))
query = query.order_by(DM.dag_id)
start = current_page * dags_per_page
end = start + dags_per_page
dags = query.offset(start).limit(dags_per_page).all()
num_of_all_dags = query.count()
num_of_pages = int(math.ceil(num_of_all_dags / float(dags_per_page)))
auto_complete_data = set()
for row in query.with_entities(DM.dag_id, DM.owners):
auto_complete_data.add(row.dag_id)
auto_complete_data.add(row.owners)
return self.render(
'airflow/dags.html',
dags=dags,
hide_paused=hide_paused,
current_page=current_page,
search_query=arg_search_query if arg_search_query else '',
page_size=dags_per_page,
num_of_pages=num_of_pages,
num_dag_from=start + 1,
num_dag_to=min(end, num_of_all_dags),
num_of_all_dags=num_of_all_dags,
paging=wwwutils.generate_pages(current_page, num_of_pages,
search=arg_search_query,
showPaused=not hide_paused),
auto_complete_data=auto_complete_data,
num_runs=num_runs)
@expose('/dag_stats')
@has_access
@provide_session
def dag_stats(self, session=None):
dr = models.DagRun
filter_dag_ids = appbuilder.sm.get_accessible_dag_ids()
dag_state_stats = session.query(dr.dag_id, dr.state, sqla.func.count(dr.state))\
.group_by(dr.dag_id, dr.state)
payload = {}
if filter_dag_ids:
if 'all_dags' not in filter_dag_ids:
dag_state_stats = dag_state_stats.filter(dr.dag_id.in_(filter_dag_ids))
data = {}
for dag_id, state, count in dag_state_stats:
if dag_id not in data:
data[dag_id] = {}
data[dag_id][state] = count
if 'all_dags' in filter_dag_ids:
filter_dag_ids = [dag_id for dag_id, in session.query(models.DagModel.dag_id)]
for dag_id in filter_dag_ids:
payload[dag_id] = []
for state in State.dag_states:
count = data.get(dag_id, {}).get(state, 0)
payload[dag_id].append({
'state': state,
'count': count,
'dag_id': dag_id,
'color': State.color(state)
})
return wwwutils.json_response(payload)
@expose('/task_stats')
@has_access
@provide_session
def task_stats(self, session=None):
TI = models.TaskInstance
DagRun = models.DagRun
Dag = models.DagModel
filter_dag_ids = appbuilder.sm.get_accessible_dag_ids()
payload = {}
if not filter_dag_ids:
return
LastDagRun = (
session.query(
DagRun.dag_id,
sqla.func.max(DagRun.execution_date).label('execution_date')
)
.join(Dag, Dag.dag_id == DagRun.dag_id)
.filter(DagRun.state != State.RUNNING, Dag.is_active)
.group_by(DagRun.dag_id)
.subquery('last_dag_run')
)
RunningDagRun = (
session.query(DagRun.dag_id, DagRun.execution_date)
.join(Dag, Dag.dag_id == DagRun.dag_id)
.filter(DagRun.state == State.RUNNING, Dag.is_active)
.subquery('running_dag_run')
)
# Select all task_instances from active dag_runs.
# If no dag_run is active, return task instances from most recent dag_run.
LastTI = (
session.query(TI.dag_id.label('dag_id'), TI.state.label('state'))
.join(LastDagRun,
and_(LastDagRun.c.dag_id == TI.dag_id,
LastDagRun.c.execution_date == TI.execution_date))
)
RunningTI = (
session.query(TI.dag_id.label('dag_id'), TI.state.label('state'))
.join(RunningDagRun,
and_(RunningDagRun.c.dag_id == TI.dag_id,
RunningDagRun.c.execution_date == TI.execution_date))
)
UnionTI = union_all(LastTI, RunningTI).alias('union_ti')
qry = (
session.query(UnionTI.c.dag_id, UnionTI.c.state, sqla.func.count())
.group_by(UnionTI.c.dag_id, UnionTI.c.state)
)
data = {}
for dag_id, state, count in qry:
if 'all_dags' in filter_dag_ids or dag_id in filter_dag_ids:
if dag_id not in data:
data[dag_id] = {}
data[dag_id][state] = count
session.commit()
if 'all_dags' in filter_dag_ids:
filter_dag_ids = [dag_id for dag_id, in session.query(models.DagModel.dag_id)]
for dag_id in filter_dag_ids:
payload[dag_id] = []
for state in State.task_states:
count = data.get(dag_id, {}).get(state, 0)
payload[dag_id].append({
'state': state,
'count': count,
'dag_id': dag_id,
'color': State.color(state)
})
return wwwutils.json_response(payload)
@expose('/code')
@has_dag_access(can_dag_read=True)
@has_access
@provide_session
def code(self, session=None):
dm = models.DagModel
dag_id = request.args.get('dag_id')
dag = session.query(dm).filter(dm.dag_id == dag_id).first()
try:
with wwwutils.open_maybe_zipped(dag.fileloc, 'r') as f:
code = f.read()
html_code = highlight(
code, lexers.PythonLexer(), HtmlFormatter(linenos=True))
except IOError as e:
html_code = str(e)
return self.render(
'airflow/dag_code.html', html_code=html_code, dag=dag, title=dag_id,
root=request.args.get('root'),
demo_mode=conf.getboolean('webserver', 'demo_mode'))
@expose('/dag_details')
@has_dag_access(can_dag_read=True)
@has_access
@provide_session
def dag_details(self, session=None):
dag_id = request.args.get('dag_id')
dag = dagbag.get_dag(dag_id)
title = "DAG details"
root = request.args.get('root', '')
TI = models.TaskInstance
states = (
session.query(TI.state, sqla.func.count(TI.dag_id))
.filter(TI.dag_id == dag_id)
.group_by(TI.state)
.all()
)
active_runs = models.DagRun.find(
dag_id=dag.dag_id,
state=State.RUNNING,
external_trigger=False,
session=session
)
return self.render(
'airflow/dag_details.html',
dag=dag, title=title, root=root, states=states, State=State, active_runs=active_runs)
@app.errorhandler(404)
def circles(self):
return render_template(
'airflow/circles.html', hostname=socket.getfqdn()), 404
@app.errorhandler(500)
def show_traceback(self):
from airflow.utils import asciiart as ascii_
return render_template(
'airflow/traceback.html',
hostname=socket.getfqdn(),
nukular=ascii_.nukular,
info=traceback.format_exc()), 500
@expose('/pickle_info')
@has_access
def pickle_info(self):
d = {}
filter_dag_ids = appbuilder.sm.get_accessible_dag_ids()
if not filter_dag_ids:
return wwwutils.json_response({})
dag_id = request.args.get('dag_id')
dags = [dagbag.dags.get(dag_id)] if dag_id else dagbag.dags.values()
for dag in dags:
if 'all_dags' in filter_dag_ids or dag.dag_id in filter_dag_ids:
if not dag.is_subdag:
d[dag.dag_id] = dag.pickle_info()
return wwwutils.json_response(d)
@expose('/rendered')
@has_dag_access(can_dag_read=True)
@has_access
@action_logging
def rendered(self):
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
execution_date = request.args.get('execution_date')
dttm = pendulum.parse(execution_date)
form = DateTimeForm(data={'execution_date': dttm})
root = request.args.get('root', '')
dag = dagbag.get_dag(dag_id)
task = copy.copy(dag.get_task(task_id))
ti = models.TaskInstance(task=task, execution_date=dttm)
try:
ti.render_templates()
except Exception as e:
flash("Error rendering template: " + str(e), "error")
title = "Rendered Template"
html_dict = {}
for template_field in task.__class__.template_fields:
content = getattr(task, template_field)
if template_field in wwwutils.get_attr_renderer():
html_dict[template_field] = \
wwwutils.get_attr_renderer()[template_field](content)
else:
html_dict[template_field] = (
"<pre><code>" + str(content) + "</pre></code>")
return self.render(
'airflow/ti_code.html',
html_dict=html_dict,
dag=dag,
task_id=task_id,
execution_date=execution_date,
form=form,
root=root,
title=title)
@expose('/get_logs_with_metadata')
@has_dag_access(can_dag_read=True)
@has_access
@action_logging
@provide_session
def get_logs_with_metadata(self, session=None):
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
execution_date = request.args.get('execution_date')
dttm = pendulum.parse(execution_date)
if request.args.get('try_number') is not None:
try_number = int(request.args.get('try_number'))
else:
try_number = None
metadata = request.args.get('metadata')
metadata = json.loads(metadata)
response_format = request.args.get('format', 'json')
# metadata may be null
if not metadata:
metadata = {}
# Convert string datetime into actual datetime
try:
execution_date = timezone.parse(execution_date)
except ValueError:
error_message = (
'Given execution date, {}, could not be identified '
'as a date. Example date format: 2015-11-16T14:34:15+00:00'.format(
execution_date))
response = jsonify({'error': error_message})
response.status_code = 400
return response
logger = logging.getLogger('airflow.task')
task_log_reader = conf.get('core', 'task_log_reader')
handler = next((handler for handler in logger.handlers
if handler.name == task_log_reader), None)
ti = session.query(models.TaskInstance).filter(
models.TaskInstance.dag_id == dag_id,
models.TaskInstance.task_id == task_id,
models.TaskInstance.execution_date == dttm).first()
try:
if ti is None:
logs = ["*** Task instance did not exist in the DB\n"]
metadata['end_of_log'] = True
else:
dag = dagbag.get_dag(dag_id)
ti.task = dag.get_task(ti.task_id)
logs, metadatas = handler.read(ti, try_number, metadata=metadata)
metadata = metadatas[0]
for i, log in enumerate(logs):
if PY2 and not isinstance(log, unicode):
logs[i] = log.decode('utf-8')
if response_format == 'json':
message = logs[0] if try_number is not None else logs
return jsonify(message=message, metadata=metadata)
file_obj = StringIO('\n'.join(logs))
filename_template = conf.get('core', 'LOG_FILENAME_TEMPLATE')
attachment_filename = render_log_filename(ti, try_number, filename_template)
return send_file(file_obj, as_attachment=True,
attachment_filename=attachment_filename)
except AttributeError as e:
error_message = ["Task log handler {} does not support read logs.\n{}\n"
.format(task_log_reader, str(e))]
metadata['end_of_log'] = True
return jsonify(message=error_message, error=True, metadata=metadata)
@expose('/log')
@has_dag_access(can_dag_read=True)
@has_access
@action_logging
@provide_session
def log(self, session=None):
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
execution_date = request.args.get('execution_date')
dttm = pendulum.parse(execution_date)
form = DateTimeForm(data={'execution_date': dttm})
dag = dagbag.get_dag(dag_id)
ti = session.query(models.TaskInstance).filter(
models.TaskInstance.dag_id == dag_id,
models.TaskInstance.task_id == task_id,
models.TaskInstance.execution_date == dttm).first()
num_logs = 0
if ti is not None:
num_logs = ti.next_try_number - 1
if ti.state == State.UP_FOR_RESCHEDULE:
# Tasks in reschedule state decremented the try number
num_logs += 1
logs = [''] * num_logs
root = request.args.get('root', '')
return self.render(
'airflow/ti_log.html',
logs=logs, dag=dag, title="Log by attempts",
dag_id=dag.dag_id, task_id=task_id,
execution_date=execution_date, form=form,
root=root)
@expose('/task')
@has_dag_access(can_dag_read=True)
@has_access
@action_logging
def task(self):
TI = models.TaskInstance
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
# Carrying execution_date through, even though it's irrelevant for
# this context
execution_date = request.args.get('execution_date')
dttm = pendulum.parse(execution_date)
form = DateTimeForm(data={'execution_date': dttm})
root = request.args.get('root', '')
dag = dagbag.get_dag(dag_id)
if not dag or task_id not in dag.task_ids:
flash(
"Task [{}.{}] doesn't seem to exist"
" at the moment".format(dag_id, task_id),
"error")
return redirect('/')
task = copy.copy(dag.get_task(task_id))
task.resolve_template_files()
ti = TI(task=task, execution_date=dttm)
ti.refresh_from_db()
ti_attrs = []
for attr_name in dir(ti):
if not attr_name.startswith('_'):
attr = getattr(ti, attr_name)
if type(attr) != type(self.task): # noqa
ti_attrs.append((attr_name, str(attr)))
task_attrs = []
for attr_name in dir(task):
if not attr_name.startswith('_'):
attr = getattr(task, attr_name)
if type(attr) != type(self.task) and \
attr_name not in wwwutils.get_attr_renderer(): # noqa
task_attrs.append((attr_name, str(attr)))
# Color coding the special attributes that are code
special_attrs_rendered = {}
for attr_name in wwwutils.get_attr_renderer():
if hasattr(task, attr_name):
source = getattr(task, attr_name)
special_attrs_rendered[attr_name] = \
wwwutils.get_attr_renderer()[attr_name](source)
no_failed_deps_result = [(
"Unknown",
"All dependencies are met but the task instance is not running. In most "
"cases this just means that the task will probably be scheduled soon "
"unless:<br/>\n- The scheduler is down or under heavy load<br/>\n{}\n"
"<br/>\nIf this task instance does not start soon please contact your "
"Airflow administrator for assistance.".format(
"- This task instance already ran and had it's state changed manually "
"(e.g. cleared in the UI)<br/>" if ti.state == State.NONE else ""))]
# Use the scheduler's context to figure out which dependencies are not met
dep_context = DepContext(SCHEDULER_DEPS)
failed_dep_reasons = [(dep.dep_name, dep.reason) for dep in
ti.get_failed_dep_statuses(
dep_context=dep_context)]
title = "Task Instance Details"
return self.render(
'airflow/task.html',
task_attrs=task_attrs,
ti_attrs=ti_attrs,
failed_dep_reasons=failed_dep_reasons or no_failed_deps_result,
task_id=task_id,
execution_date=execution_date,
special_attrs_rendered=special_attrs_rendered,
form=form,
root=root,
dag=dag, title=title)
@expose('/xcom')
@has_dag_access(can_dag_read=True)
@has_access
@action_logging
@provide_session
def xcom(self, session=None):
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
# Carrying execution_date through, even though it's irrelevant for
# this context
execution_date = request.args.get('execution_date')
dttm = pendulum.parse(execution_date)
form = DateTimeForm(data={'execution_date': dttm})
root = request.args.get('root', '')
dm_db = models.DagModel
ti_db = models.TaskInstance
dag = session.query(dm_db).filter(dm_db.dag_id == dag_id).first()
ti = session.query(ti_db).filter(ti_db.dag_id == dag_id and ti_db.task_id == task_id).first()
if not ti:
flash(
"Task [{}.{}] doesn't seem to exist"
" at the moment".format(dag_id, task_id),
"error")
return redirect('/')
xcomlist = session.query(XCom).filter(
XCom.dag_id == dag_id, XCom.task_id == task_id,
XCom.execution_date == dttm).all()
attributes = []
for xcom in xcomlist:
if not xcom.key.startswith('_'):
attributes.append((xcom.key, xcom.value))
title = "XCom"
return self.render(
'airflow/xcom.html',
attributes=attributes,
task_id=task_id,
execution_date=execution_date,
form=form,
root=root,
dag=dag, title=title)
@expose('/run')
@has_dag_access(can_dag_edit=True)
@has_access
@action_logging
def run(self):
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
origin = request.args.get('origin')
dag = dagbag.get_dag(dag_id)
task = dag.get_task(task_id)
execution_date = request.args.get('execution_date')
execution_date = pendulum.parse(execution_date)
ignore_all_deps = request.args.get('ignore_all_deps') == "true"
ignore_task_deps = request.args.get('ignore_task_deps') == "true"
ignore_ti_state = request.args.get('ignore_ti_state') == "true"
from airflow.executors import GetDefaultExecutor
executor = GetDefaultExecutor()
valid_celery_config = False
valid_kubernetes_config = False
try:
from airflow.executors.celery_executor import CeleryExecutor
valid_celery_config = isinstance(executor, CeleryExecutor)
except ImportError:
pass
try:
from airflow.contrib.executors.kubernetes_executor import KubernetesExecutor
valid_kubernetes_config = isinstance(executor, KubernetesExecutor)
except ImportError:
pass
if not valid_celery_config and not valid_kubernetes_config:
flash("Only works with the Celery or Kubernetes executors, sorry", "error")
return redirect(origin)
ti = models.TaskInstance(task=task, execution_date=execution_date)
ti.refresh_from_db()
# Make sure the task instance can be queued
dep_context = DepContext(
deps=QUEUE_DEPS,
ignore_all_deps=ignore_all_deps,
ignore_task_deps=ignore_task_deps,
ignore_ti_state=ignore_ti_state)
failed_deps = list(ti.get_failed_dep_statuses(dep_context=dep_context))
if failed_deps:
failed_deps_str = ", ".join(
["{}: {}".format(dep.dep_name, dep.reason) for dep in failed_deps])
flash("Could not queue task instance for execution, dependencies not met: "
"{}".format(failed_deps_str),
"error")
return redirect(origin)
executor.start()
executor.queue_task_instance(
ti,
ignore_all_deps=ignore_all_deps,
ignore_task_deps=ignore_task_deps,
ignore_ti_state=ignore_ti_state)
executor.heartbeat()
flash(
"Sent {} to the message queue, "
"it should start any moment now.".format(ti))
return redirect(origin)
@expose('/delete')
@has_dag_access(can_dag_edit=True)
@has_access
@action_logging
def delete(self):
from airflow.api.common.experimental import delete_dag
from airflow.exceptions import DagNotFound, DagFileExists
dag_id = request.args.get('dag_id')
origin = request.args.get('origin') or "/"
try:
delete_dag.delete_dag(dag_id)
except DagNotFound:
flash("DAG with id {} not found. Cannot delete".format(dag_id), 'error')
return redirect(request.referrer)
except DagFileExists:
flash("Dag id {} is still in DagBag. "
"Remove the DAG file first.".format(dag_id),
'error')
return redirect(request.referrer)
flash("Deleting DAG with id {}. May take a couple minutes to fully"
" disappear.".format(dag_id))
# Upon success return to origin.
return redirect(origin)
@expose('/trigger')
@has_dag_access(can_dag_edit=True)
@has_access
@action_logging
@provide_session
def trigger(self, session=None):
dag_id = request.args.get('dag_id')
origin = request.args.get('origin') or "/"
dag = session.query(models.DagModel).filter(models.DagModel.dag_id == dag_id).first()
if not dag:
flash("Cannot find dag {}".format(dag_id))
return redirect(origin)
execution_date = timezone.utcnow()
run_id = "manual__{0}".format(execution_date.isoformat())
dr = DagRun.find(dag_id=dag_id, run_id=run_id)
if dr:
flash("This run_id {} already exists".format(run_id))
return redirect(origin)
run_conf = {}
dag.create_dagrun(
run_id=run_id,
execution_date=execution_date,
state=State.RUNNING,
conf=run_conf,
external_trigger=True
)
flash(
"Triggered {}, "
"it should start any moment now.".format(dag_id))
return redirect(origin)
def _clear_dag_tis(self, dag, start_date, end_date, origin,
recursive=False, confirmed=False):
if confirmed:
count = dag.clear(
start_date=start_date,
end_date=end_date,
include_subdags=recursive,
include_parentdag=recursive,
)
flash("{0} task instances have been cleared".format(count))
return redirect(origin)
tis = dag.clear(
start_date=start_date,
end_date=end_date,
include_subdags=recursive,
include_parentdag=recursive,
dry_run=True,
)
if not tis:
flash("No task instances to clear", 'error')
response = redirect(origin)
else:
details = "\n".join([str(t) for t in tis])
response = self.render(
'airflow/confirm.html',
message=("Here's the list of task instances you are about "
"to clear:"),
details=details)
return response
@expose('/clear')
@has_dag_access(can_dag_edit=True)
@has_access
@action_logging
def clear(self):
dag_id = request.args.get('dag_id')
task_id = request.args.get('task_id')
origin = request.args.get('origin')
dag = dagbag.get_dag(dag_id)
execution_date = request.args.get('execution_date')
execution_date = pendulum.parse(execution_date)
confirmed = request.args.get('confirmed') == "true"
upstream = request.args.get('upstream') == "true"
downstream = request.args.get('downstream') == "true"
future = request.args.get('future') == "true"
past = request.args.get('past') == "true"
recursive = request.args.get('recursive') == "true"
dag = dag.sub_dag(
task_regex=r"^{0}$".format(task_id),
include_downstream=downstream,
include_upstream=upstream)
end_date = execution_date if not future else None
start_date = execution_date if not past else None
return self._clear_dag_tis(dag, start_date, end_date, origin,
recursive=recursive, confirmed=confirmed)
@expose('/dagrun_clear')
@has_dag_access(can_dag_edit=True)
@has_access
@action_logging
def dagrun_clear(self):
dag_id = request.args.get('dag_id')
origin = request.args.get('origin')
execution_date = request.args.get('execution_date')
confirmed = request.args.get('confirmed') == "true"
dag = dagbag.get_dag(dag_id)
execution_date = pendulum.parse(execution_date)
start_date = execution_date
end_date = execution_date
return self._clear_dag_tis(dag, start_date, end_date, origin,
recursive=True, confirmed=confirmed)
@expose('/blocked')
@has_access
@provide_session
def blocked(self, session=None):
DR = models.DagRun
filter_dag_ids = appbuilder.sm.get_accessible_dag_ids()
payload = []
if filter_dag_ids:
dags = (
session.query(DR.dag_id, sqla.func.count(DR.id))
.filter(DR.state == State.RUNNING)
.group_by(DR.dag_id)
)
if 'all_dags' not in filter_dag_ids:
dags = dags.filter(DR.dag_id.in_(filter_dag_ids))
dags = dags.all()
for dag_id, active_dag_runs in dags:
max_active_runs = 0
if dag_id in dagbag.dags:
max_active_runs = dagbag.dags[dag_id].max_active_runs
payload.append({
'dag_id': dag_id,
'active_dag_run': active_dag_runs,
'max_active_runs': max_active_runs,
})
return wwwutils.json_response(payload)
def _mark_dagrun_state_as_failed(self, dag_id, execution_date, confirmed, origin):
if not execution_date:
flash('Invalid execution date', 'error')
return redirect(origin)
execution_date = pendulum.parse(execution_date)
dag = dagbag.get_dag(dag_id)
if not dag: