def create_app(config_name):
app = Flask(__name__)
app.config.from_object(config[config_name])
config[config_name].init_app(app)
if os.environ.get('SQLALCHEMY_POOL_SIZE'):
# 上传进程内部加载sqlalchemy时需要控制每个进程的数据库连接池大小
print('根据环境变量设置数据库连接池大小为:', os.environ.get('SQLALCHEMY_POOL_SIZE'))
app.config['SQLALCHEMY_POOL_SIZE'] = int(
os.environ.get('SQLALCHEMY_POOL_SIZE'))
db.init_app(app)
print('connect to {}'.format(app.config['SQLALCHEMY_DATABASE_URI']))
try:
aios_redis.init_app(app)
print('connect to {}'.format(app.config['REDIS_URL']))
# 每次项目重启时清空缓存，如有redis实现的消息队列时，需要采取措施及时保存队列信息，以便不丢失消息
init_pubsub(aios_redis)
# aios_redis.flushdb()
except Exception as err:
print('warning: Redis服务出现异常!!!', err)
try:
from prometheus_flask_exporter import PrometheusMetrics
metrics = PrometheusMetrics(app)
# static information as metric
metrics.info('ifaios_metrics', 'ifaios_cs', version="v2")
except Exception as err:
pass
# 注册蓝本
from app.api import api_blueprint
app.register_blueprint(api_blueprint)
from app.static import static_blueprint
app.register_blueprint(static_blueprint)
from app.common import common_blueprint
app.register_blueprint(common_blueprint)
return app
def create_app(test_config=None):
# create and configure the app
app = Flask(__name__, static_folder="build/static", template_folder="build")
dir_name = "logs"
try:
# Create log Directory
os.mkdir(dir_name)
print("Directory ", dir_name, " Created ")
except FileExistsError:
print("Directory ", dir_name, " already exists")
# app.logger.removeHandler(default_handler)
handler = RotatingFileHandler("logs/orders.log", maxBytes=10000, backupCount=1)
handler.setLevel(logging.DEBUG)
app.logger.addHandler(handler)
es_host_url = os.getenv("ES_HOST_URL")
# if es url is set, enable logging to elasticsearch
if es_host_url:
es_handler = ElasticsearchLogHandler(os.getenv("ES_HOST_URL"))
app.logger.addHandler(es_handler)
app.logger.setLevel(logging.DEBUG)
app.config.from_object("config")
app.register_blueprint(mock)
app.register_blueprint(index_blueprint)
# set up prometheus metrics exporting
metrics = PrometheusMetrics(app)
# static information as metric
metrics.info("AnomalyDetectorDemo", "Demo application for PAD/LAD", version="0.1")
return app
def init_flask_metrics(flask_app, export_defaults=True, **kwargs):
global flask_metrics, enabled
try:
localconfig = anchore_engine.configuration.localconfig.get_config()
metrics_config = localconfig.get('metrics', {})
enabled = bool(metrics_config.get('enable', False))
if not enabled:
enabled = bool(metrics_config.get('enabled', False))
except Exception as err:
logger.warn(
"unable to determine if metrics are enabled - exception: " +
str(err))
enabled = False
if not enabled:
flask_metrics = disabled_flask_metrics()
return (True)
if not flask_metrics:
flask_metrics = PrometheusMetrics(flask_app,
export_defaults=export_defaults)
flask_metrics.info('anchore_service_info',
"Anchore Service Static Information",
version=version,
**kwargs)
return (True)
def init_flask_metrics(flask_app, export_defaults=True, **kwargs):
global flask_metrics, enabled
try:
localconfig = anchore_engine.configuration.localconfig.get_config()
metrics_config = localconfig.get('metrics', {})
enabled = bool(metrics_config.get('enable', False))
if not enabled:
enabled = bool(metrics_config.get('enabled', False))
except Exception as err:
logger.warn(
"unable to determine if metrics are enabled - exception: " +
str(err))
enabled = False
if not enabled:
flask_metrics = disabled_flask_metrics()
return (True)
if not flask_metrics:
# Build a blueprint for metrics, wrapped in auth
flask_metrics = PrometheusMetrics(metrics_blueprint,
export_defaults=export_defaults)
# Note: this must be after the addition of PrometheusMetrics to the blueprint in order to ensure proper ordering of before_request and after_request handling by prometheus counters
metrics_blueprint.before_request(auth_function_factory())
flask_app.register_blueprint(metrics_blueprint)
flask_metrics.info('anchore_service_info',
"Anchore Service Static Information",
version=version,
**kwargs)
return (True)
class Server:
def __init__(self,log_level=logging.DEBUG):
self.app = Flask(__name__)
self.app.logger.setLevel(log_level)
self.metrics = PrometheusMetrics(self.app)
self.metrics.info('app_info', 'Version info', version=__version__)
self.cv = ComputerVision()
self.app.register_blueprint(self.cv.blueprint, url_prefix='/v1/')
self.app.config['SWAGGER'] = {
'title': 'Corona Medical Monitors Camera Monitoring API',
'uiversion': 3,
'openapi': '3.0.2',
'version': __version__
}
self.swagger = Swagger(self.app)
@self.app.route('/ping/')
def ping() ->str:
"""
ping
---
description: get a pong
"""
return 'pong'
def integrate_prometheus_metrics(app: Flask, restful_api: Api):
# metrics = RESTfulPrometheusMetrics(app, restful_api)
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Application info', version='1.0.3')
metrics.register_default(
metrics.summary('by_path_method_time_stamp_summary',
'Request summary by request paths, method, timestamp',
labels={
'path': lambda: request.path,
'method': lambda: request.method,
'status': lambda r: r.status_code,
'time_stamp': lambda: time.time()
}))
return metrics
def _setup_metrics(self):
metrics = PrometheusMetrics(self.app)
metrics.info('flask_app_info',
'Application info',
version=os.environ.get('GIT_COMMIT') or 'unknown')
metrics.info('flask_app_built_at', 'Application build timestamp').set(
float(os.environ.get('BUILD_TIMESTAMP') or '0'))
action_summary = Summary('webhook_proxy_actions',
'Action invocation metrics',
labelnames=('http_route', 'http_method',
'action_type', 'action_index'))
return action_summary
def create_app():
app = Flask(__name__, instance_relative_config=True)
app.config.from_object(Config)
app.url_map.converters['oid'] = ObjectIdConverter
db.init_app(app)
auth.init_app(app)
views.init_app(app)
metrics = PrometheusMetrics(app)
metrics.info('backend_info', 'Backend Information', version='1.0.0')
@app.route('/ping')
@metrics.do_not_track()
def ping():
return 'pong'
return app
def _setup_metrics(self):
metrics = PrometheusMetrics(self.app)
metrics.info(
"flask_app_info",
"Application info",
version=os.environ.get("GIT_COMMIT") or "unknown",
)
metrics.info("flask_app_built_at", "Application build timestamp").set(
float(os.environ.get("BUILD_TIMESTAMP") or "0"))
action_summary = Summary(
"webhook_proxy_actions",
"Action invocation metrics",
labelnames=("http_route", "http_method", "action_type",
"action_index"),
)
return action_summary
def create_app():
"""Create Flask App."""
app = Flask(__name__, static_folder="static")
# Register blueprints
app.register_blueprint(index_blueprint)
app.register_blueprint(api)
sql_db = os.getenv("SQL_CONNECT", "sqlite://")
app.config['SQLALCHEMY_DATABASE_URI'] = sql_db
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
# Setup Prometheus Metrics
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Log Anomaly Detector', version='v0.1.0.beta1')
# Initialize db and tables
db.init_app(app)
with app.app_context():
db.create_all()
return app
def init_flask_metrics(flask_app, export_defaults=True, **kwargs):
global flask_metrics, enabled
auth_enabled = True
try:
localconfig = anchore_engine.configuration.localconfig.get_config()
metrics_config = localconfig.get("metrics", {})
# Handle typo in config. enabled == enable
enabled = bool(metrics_config.get("enable", False))
if not enabled:
enabled = bool(metrics_config.get("enabled", False))
auth_enabled = not bool(metrics_config.get("auth_disabled", False))
except Exception as err:
logger.warn(
"unable to determine if metrics are enabled - exception: " +
str(err))
enabled = False
if not enabled:
flask_metrics = disabled_flask_metrics()
return True
if not flask_metrics:
flask_metrics = PrometheusMetrics(flask_app,
export_defaults=export_defaults,
group_by_endpoint=True)
if auth_enabled:
flask_app.before_request(metrics_auth(flask_metrics.path))
flask_metrics.info("anchore_service_info",
"Anchore Service Static Information",
version=version,
**kwargs)
return True
import datetime
import json
import logging
import os
import re
import requests
import sys
import time
app = Flask(__name__)
# Setup Prometheus Metrics for Flask app
metrics = PrometheusMetrics(app, defaults_prefix="magtape")
# Static information as metric
metrics.info("app_info", "Application info", version="0.6")
# Set logging config
log = logging.getLogger("werkzeug")
log.disabled = True
magtape_log_level = os.environ["MAGTAPE_LOG_LEVEL"]
app.logger.setLevel(magtape_log_level)
# Set Global variables
cluster = os.environ["MAGTAPE_CLUSTER_NAME"]
magtape_namespace_name = os.environ["MAGTAPE_NAMESPACE_NAME"]
magtape_pod_name = os.environ["MAGTAPE_POD_NAME"]
# Set Slack related variables
slack_enabled = os.environ["MAGTAPE_SLACK_ENABLED"]
slack_passive = os.environ["MAGTAPE_SLACK_PASSIVE"]
import logging
import boto3
import simplejson as json
import urllib.parse
import uuid
import os
from boto3.dynamodb.conditions import Key, Attr
from flask import request
from flask import Response
from flask import Blueprint
from prometheus_flask_exporter import PrometheusMetrics
app = Flask(__name__)
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Database process')
bp = Blueprint('app', __name__)
#with open('config.json') as file:
# data = json.load(file)
# default to us-east-1 if no region is specified
# (us-east-1 is the default/only supported region for a starter account)
region = os.getenv('AWS_REGION', 'us-east-1')
# these must be present; if they are missing, we should probably bail now
access_key = os.getenv('AWS_ACCESS_KEY_ID')
secret_access_key = os.getenv('AWS_SECRET_ACCESS_KEY')
# this is only needed for starter accounts
session_token = os.getenv('AWS_SESSION_TOKEN')
class Flacon(object):
"""Wrapper around Flask."""
LOG_FORMAT = (
"[%(asctime)s] %(levelname)s %(module)s "
"[%(filename)s:%(funcName)s:%(lineno)d] (%(thread)d): %(message)s"
)
def __init__(self, app_or_name, registry=None):
"""Build a new Flacon.
Args:
Either a flask.Flask or the name of the calling module.
"""
if isinstance(app_or_name, flask.Flask):
self.app = app_or_name
else:
# Convenience constructor.
self.app = flask.Flask(app_or_name)
# Most small applications will work behind a reverse proxy and will
# need this. If you don't want it, create the app yourself.
self.app.wsgi_app = ProxyFix(self.app.wsgi_app)
# The blueprints with our views.
self.blueprint = flask.Blueprint(
"flacon", __name__, template_folder="templates"
)
self.host = "0.0.0.0"
self.port = 8080
self.debug = False
self.log_level = None
self.twisted = False
self.gunicorn = False
self.threads = None
self.metrics = None
self.is_setup = False
self.setup_blueprint()
self.setup_prometheus(registry)
self.setup_sentry(sentry_dsn=None)
def setup_blueprint(self):
"""Initialize the blueprint."""
# Register endpoints.
self.blueprint.add_url_rule("/", "status", self.status)
self.blueprint.add_url_rule("/healthy", "health", self.healthy)
self.blueprint.add_url_rule("/ready", "ready", self.ready)
self.blueprint.add_url_rule("/threads", "threads", self.threads_bt)
def _add_routes(self):
"""Add some nice default routes."""
if self.app.has_static_folder:
self.add_url_rule("/favicon.ico", "favicon", self.favicon)
self.add_url_rule("/", "__default_redirect_to_status", self.redirect_to_status)
def setup(self, args=None):
if self.is_setup:
return
# Args.
if args is None:
parser = self.get_argparser()
args = parser.parse_args()
self.host = args.host
self.port = args.port
self.debug = args.debug
self.log_level = args.log_level
self.twisted = args.twisted
self.gunicorn = args.gunicorn
self.threads = args.threads
if not args.disable_embedded_logging:
self.setup_logging(self.log_level)
# Flask things
self._add_routes()
self.app.register_blueprint(self.blueprint, url_prefix="/-")
def _context():
return {"flacon": self}
# Add 'flacon' to the context.
self.app.context_processor(_context)
self.is_setup = True
@staticmethod
def get_argparser(parser=None):
"""Customize a parser to get the correct options."""
parser = parser or argparse.ArgumentParser()
parser.add_argument("--host", default="0.0.0.0", help="Host listen address")
parser.add_argument("--port", "-p", default=9050, help="Listen port", type=int)
parser.add_argument(
"--debug",
"-d",
default=False,
action="store_true",
help="Enable debug mode",
)
parser.add_argument(
"--log-level",
"-l",
default="INFO",
help="Log Level, empty string to disable.",
)
parser.add_argument(
"--twisted",
default=False,
action="store_true",
help="Use twisted to server requests.",
)
parser.add_argument(
"--gunicorn",
default=False,
action="store_true",
help="Use gunicorn to server requests.",
)
parser.add_argument(
"--threads", default=None, help="Number of threads to use.", type=int
)
parser.add_argument(
"--disable-embedded-logging",
default=False,
action="store_true",
help="Disable embedded logging configuration",
)
return parser
def setup_logging(self, log_level):
"""Setup logging."""
if not log_level:
return
# Remove existing logger.
self.app.config["LOGGER_HANDLER_POLICY"] = "never"
self.app.logger.propagate = True
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter(self.LOG_FORMAT))
self.app.logger.addHandler(handler)
self.app.logger.setLevel(logging.getLevelName(log_level))
self.app.logger.info("Logging initialized.")
def setup_prometheus(self, registry=None):
"""Setup Prometheus."""
kwargs = {}
if registry:
kwargs["registry"] = registry
self.metrics = PrometheusMetrics(self.app, **kwargs)
try:
version = pkg_resources.require(self.app.name)[0].version
except pkg_resources.DistributionNotFound:
version = "unknown"
self.metrics.info(
"app_info", "Application info", version=version, appname=self.app.name
)
self.app.logger.info("Prometheus is enabled.")
def setup_sentry(self, sentry_dsn):
sentry_dsn = sentry_dsn or os.getenv("SENTRY_DSN", None)
if not Sentry or not sentry_dsn:
return
sentry = Sentry(dsn=sentry_dsn)
sentry.init_app(self.app)
self.app.logger.info("Sentry is enabled.")
def add_url_rule(self, route, endpoint, handler):
"""Add a new url route.
Args:
See flask.Flask.add_url_route().
"""
self.app.add_url_rule(route, endpoint, handler)
@property
def name(self):
"""Return the name of the current application."""
return self.app.import_name
def redirect_to_status(self):
"""Redirect to the flacon index."""
return flask.redirect(flask.url_for("flacon.status"))
def status(self):
return flask.render_template("flacon/status.html")
def is_healthy(self):
return True
def healthy(self):
"""Return 200 is healthy, else 500.
Override is_healthy() to change the health check.
"""
try:
if self.is_healthy():
return "OK", 200
else:
return "FAIL", 500
except Exception as e:
self.app.logger.exception(e)
return str(e), 500
def is_ready(self):
return True
def ready(self):
"""Return 200 is ready, else 500.
Override is_ready() to change the readiness check.
"""
try:
if self.is_ready():
return "OK", 200
else:
return "FAIL", 500
except Exception as e:
self.app.logger.exception()
return str(e), 500
def threads_bt(self):
"""Display thread backtraces."""
import threading
import traceback
threads = {}
for thread in threading.enumerate():
frames = sys._current_frames().get(thread.ident)
if frames:
stack = traceback.format_stack(frames)
else:
stack = []
threads[thread] = "".join(stack)
return flask.render_template("flacon/threads.html", threads=threads)
def favicon(self):
return flask.send_from_directory(
self.app.static_folder, "favicon.ico", mimetype="image/vnd.microsoft.icon"
)
def run(self, **options):
"""Run the application."""
if not self.is_setup:
self.setup()
if self.twisted:
self.run_with_twisted(**options)
elif self.gunicorn:
self.run_with_gunicorn(**options)
else:
self.run_with_werkzeug(**options)
def run_with_werkzeug(self, **options):
"""Run with werkzeug simple wsgi container."""
threaded = self.threads is not None and (self.threads > 0)
self.app.run(
host=self.host,
port=self.port,
debug=self.debug,
threaded=threaded,
**options
)
def run_with_twisted(self, **options):
"""Run with twisted."""
from twisted.internet import reactor
from twisted.python import log
import flask_twisted
twisted = flask_twisted.Twisted(self.app)
if self.threads:
reactor.suggestThreadPoolSize(self.threads)
if self.log_level:
log.startLogging(sys.stderr)
twisted.run(host=self.host, port=self.port, debug=self.debug, **options)
def run_with_gunicorn(self, **options):
"""Run with gunicorn."""
import gunicorn.app.base
from gunicorn.six import iteritems
import multiprocessing
class FlaconApplication(gunicorn.app.base.BaseApplication):
def __init__(self, app, options=None):
self.options = options or {}
self.application = app
super(FlaconApplication, self).__init__()
def load_config(self):
config = dict(
[
(key, value)
for key, value in iteritems(self.options)
if key in self.cfg.settings and value is not None
]
)
for key, value in iteritems(config):
self.cfg.set(key.lower(), value)
def load(self):
return self.application
options = {
"bind": "%s:%s" % (self.host, self.port),
"workers": self.threads or ((multiprocessing.cpu_count() * 2) + 1),
"debug": self.debug,
**options,
}
FlaconApplication(self.app, options).run()
from flask import Response
import jwt
from prometheus_flask_exporter import PrometheusMetrics
import requests
import simplejson as json
# The application
app = Flask(__name__)
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'User process')
bp = Blueprint('app', __name__)
db = {
"name": "http://172.17.0.1:30004/api/v1/datastore",
"endpoint": ["read", "write", "delete", "update"]
}
@bp.route('/', methods=['GET'])
@metrics.do_not_track()
def hello_world():
return ("If you are reading this in a browser, your service is "
"operational. Switch to curl/Postman/etc to interact using the "
"other HTTP verbs.")
import datetime
import json
import logging
import os
import re
import requests
import sys
import time
app = Flask(__name__)
# Setup Prometheus Metrics for Flask app
metrics = PrometheusMetrics(app, defaults_prefix="magtape")
# Static information as metric
metrics.info("app_info", "Application info", version="v2.3.0-prerelease")
# Set logging config
log = logging.getLogger("werkzeug")
log.disabled = True
magtape_log_level = os.environ["MAGTAPE_LOG_LEVEL"]
app.logger.setLevel(magtape_log_level)
# Set Global variables
cluster = os.environ["MAGTAPE_CLUSTER_NAME"]
magtape_namespace_name = os.environ["MAGTAPE_NAMESPACE_NAME"]
magtape_pod_name = os.environ["MAGTAPE_POD_NAME"]
# Set Slack related variables
slack_enabled = os.environ["MAGTAPE_SLACK_ENABLED"]
slack_passive = os.environ["MAGTAPE_SLACK_PASSIVE"]
from flask import Flask, g, request, redirect, render_template, flash
from flask_httpauth import HTTPBasicAuth
from prometheus_flask_exporter import PrometheusMetrics
from docker_helper import read_configuration
from config import configure, add_rule, delete_rule
app = Flask(__name__)
app.config['SECRET_KEY'] = read_configuration('SECRET_KEY',
'/var/secrets/flask', 'InSecure')
auth = HTTPBasicAuth()
metrics = PrometheusMetrics(app)
metrics.info('flask_app_info',
'Application info',
version=os.environ.get('GIT_COMMIT') or 'unknown')
metrics.info('flask_app_built_at', 'Application build timestamp').set(
float(os.environ.get('BUILD_TIMESTAMP') or '0'))
logging.basicConfig(
format='%(asctime)s [%(levelname)s] %(module)s.%(funcName)s - %(message)s')
logger = logging.getLogger('redirect-service')
logger.setLevel(logging.INFO)
_rules = {'simple': {}, 'regex': [], 'admin': None}
@app.route('/', methods=['GET'], defaults={'_': None})
@app.route('/<path:_>', methods=['GET', 'POST'])
import datetime
import json
import logging
import os
import re
import requests
import sys
import time
app = Flask(__name__)
# Setup Prometheus Metrics for Flask app
metrics = PrometheusMetrics(app, defaults_prefix="magtape")
# Static information as metric
metrics.info("app_info", "Application info", version="v2.3.3")
# Set logging config
log = logging.getLogger("werkzeug")
log.disabled = True
magtape_log_level = os.environ["MAGTAPE_LOG_LEVEL"]
app.logger.setLevel(magtape_log_level)
# Set Global variables
cluster = os.environ["MAGTAPE_CLUSTER_NAME"]
magtape_namespace_name = os.environ["MAGTAPE_NAMESPACE_NAME"]
magtape_pod_name = os.environ["MAGTAPE_POD_NAME"]
# Set Slack related variables
slack_enabled = os.environ["MAGTAPE_SLACK_ENABLED"]
slack_passive = os.environ["MAGTAPE_SLACK_PASSIVE"]
import simplejson as json
# Local libraries
import tracing
# The application
# Integer value 0 <= v < 100, denoting proportion of
# calls to `get_song` to return 500 from
PERCENT_ERROR = 50
app = Flask(__name__)
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Music process')
tracer = tracing.SimpleTracer("s2")
db = {
"name": "http://*****:*****@bp.route('/health')
@metrics.do_not_track()
def health():
return Response("", status=200, mimetype="application/json")
import cv2
import werkzeug
from PIL import Image
from numpy import asarray
logging.basicConfig(level=logging.INFO)
logging.info("Setting LOGLEVEL to INFO")
# Declare a flask app
app = Flask(__name__)
api = Api(app)
metrics = PrometheusMetrics(app)
metrics.info("app_info", "App Info, this can be anything you want", version="1.0.0")
app.config['MONGO_URI'] = os.environ.get('MONGO_URL')
mongo = PyMongo(app)
# Model saved with Keras model.save()
MODEL_PATH = './models/datty.h5'
# Load your own trained model
model = load_model(MODEL_PATH)
# model._make_predict_function() # Necessary
print('Model loaded. Check http://127.0.0.1:5000/...')
import oauthlib.oauth2
import requests_oauthlib
from prometheus_flask_exporter import PrometheusMetrics
from edc_ogc import VERSION
from edc_ogc.ogc.client import OGCClient, OGCRequest
from edc_ogc.configapi import ConfigAPIDefaultLayers, ConfigAPI
from edc_ogc.mdi import Mdi, MdiError
# -------------- App setup --------------
app = Flask(__name__, static_url_path='/static')
app.url_map.strict_slashes = False
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Application info', version=VERSION)
# -------------- Logging setup --------------
logger = logging.getLogger(__name__)
logging.config.dictConfig({
'version': 1,
'formatters': {
'simple': {
'format': '%(levelname)s: %(message)s',
},
'verbose': {
'format': '[%(asctime)s][%(module)s] %(levelname)s: %(message)s',
}
},
from anomaly_detector.fact_store.api import FactStore
import os
from prometheus_client import Counter
from prometheus_flask_exporter import PrometheusMetrics
HUMAN_FEEDBACK_COUNT = Counter(
"aiops_human_feedback",
"count of number of human feedback provided by customer",
['customer_id', 'anomaly_status'])
HUMAN_FEEDBACK_ERROR_COUNT = Counter(
"aiops_human_feedback_error",
"count of human feedback not able to write to db", ['err_msg'])
app = Flask(__name__, static_folder="static")
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Log Anomaly Detector', version='v0.1.0.beta1')
@app.route("/")
def index():
"""Render main html page for fact_store."""
_id = request.args.get("lad_id")
_msg = request.args.get("message")
_is_anomaly = request.args.get("is_anomaly")
if _id is None:
return render_template("index.html")
return render_template("index.html",
id=_id,
msg=_msg,
is_anomaly=_is_anomaly)
from flask import Flask, request, jsonify
from prometheus_flask_exporter import PrometheusMetrics
import mysql.connector
import json
app = Flask(__name__)
app.config['JSONIFY_PRETTYPRINT_REGULAR'] = True
metrics = PrometheusMetrics(app)
metrics.info('app_info', 'Application info', version='1.0.3')
connection = None
cursor = None
def connect_database():
global connection
global cursor
connection = mysql.connector.connect(host='database',
port='3306',
user='******',
passwd='1234',
database='mydb')
cursor = connection.cursor()
@app.route('/')
def hello_world():
return "hello world"
import uuid
from prometheus_flask_exporter import PrometheusMetrics
ID = 0
SOURCE = 1
DESTINATION = 2
DEPARTURE_HOUR = 3
DEPARTURE_DAY = 4
DURATION = 5
CAPACITY = 6
app = Flask(__name__)
metrics = PrometheusMetrics(app)
connection = None
metrics.info('backend', 'Backend prometheus metrics', version='1.0.3')
def initialiaze_db_connection():
global connection
with open('config.json', 'r') as f:
config = json.load(f)
connection = mysql.connector.connect(**config)
connection.autocommit = True
@app.route('/hero-stats/', methods=['POST'])
def hero_stats() -> str:
global connection
)
application = app.app
# create tracer and put it in the application configuration
Configuration.tracer = init_jaeger_tracer("stub_api")
# create metrics and manager
metrics = PrometheusMetrics(application)
manager = Manager(application)
# Needed for session.
application.secret_key = Configuration.APP_SECRET_KEY
# static information as metric
metrics.info("stub_api_info", "Stub API info", version=__version__)
@app.route("/")
@metrics.do_not_track()
def base_url():
"""Redirect to UI by default."""
return redirect("api/v1/ui")
@app.route("/api/v1")
@metrics.do_not_track()
def api_v1():
"""Provide a listing of all available endpoints."""
paths = []
_GRAFANA_REDIRECT_URL = os.getenv(
"THOTH_AIDEVSECOPS_GRAFANA_REDIRECT_URL",
"https://github.com/thoth-station/elyra-aidevsecops-tutorial/blob/master/README.md",
)
application = Flask("aidevsecops-tutorial")
# Add Cross Origin Request Policy to all
CORS(application)
prometheus_metrics = PrometheusMetrics(application, group_by="endpoint")
# static information as metric
prometheus_metrics.info("aidevsecops_tutorial_app_info",
"App version deployed",
version=__version__)
model = Model()
# custom metric to expose model version
model_version_metric = prometheus_metrics.info(
"aidevsecops_tutorial_model_info",
"Model version deployed",
version=model.model_version, # label
)
@application.before_first_request
def before_first_request_callback():
"""Register callback, runs before first request to this service."""
import datetime
from flask import Flask, flash, request, redirect, url_for, render_template
from prometheus_flask_exporter import PrometheusMetrics
from werkzeug.utils import secure_filename
from flask import send_from_directory
from influxdb import InfluxDBClient
UPLOAD_FOLDER = None
ALLOWED_EXTENSIONS = set(['zip', 'rar', 'tar'])
CLIENT = None
DB_NAME = "users"
LOG_FILE = '/var/log/webserver'
app = Flask(__name__)
metrics = PrometheusMetrics(app)
metrics.info('webserver_info', 'Application info', version='1.0.3')
# Ensure that only allowed files will be uploaded
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/', methods=['GET', 'POST'])
def welcome():
"""
This function is used to render welcome page. We don't accept
POST/GET methods here because we use redirect.
"""
return render_template("index.html")
_LOGGER.setLevel(
logging.DEBUG if bool(int(os.getenv("AMUN_DEBUG", 0))) else logging.INFO)
# Expose for uWSGI.
app = connexion.App(__name__)
application = app.app
app.add_api(Configuration.SWAGGER_YAML_PATH)
metrics = PrometheusMetrics(application)
manager = Manager(application)
# Needed for session.
application.secret_key = Configuration.APP_SECRET_KEY
# static information as metric
metrics.info("amun_api_info", "Amun API info", version=__version__)
@app.route("/")
@metrics.do_not_track()
def base_url():
"""Redirect to UI by default."""
return redirect("api/v1/ui")
@app.route("/api/v1")
@metrics.do_not_track()
def api_v1():
"""Provide a listing of all available endpoints."""
paths = []
# create metrics and manager
metrics = PrometheusMetrics(application,
group_by="endpoint",
excluded_paths=[
"/liveness",
"/readiness",
"/api/v1/ui",
"/api/v1/openapi",
])
manager = Manager(application)
# Needed for session.
application.secret_key = Configuration.APP_SECRET_KEY
# static information as metric
metrics.info("user_api_info", "User API info", version=__service_version__)
_API_GAUGE_METRIC = metrics.info("user_api_schema_up2date",
"User API schema up2date")
class _GraphDatabaseWrapper:
"""A wrapper for lazy graph database adapter handling."""
_graph = GraphDatabase()
def __getattr__(self, item):
"""Connect to the database lazily on first call."""
if not self._graph.is_connected():
self._graph.connect()
return getattr(self._graph, item)
from dataclasses import dataclass, asdict
from enum import Enum
from typing import Dict
from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
from prometheus_flask_exporter import PrometheusMetrics
from jaeger_client import Config
from opentracing.propagation import Format
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
metrics = PrometheusMetrics(app)
metrics.info('workout_gateway', 'Workout Gateway', version='1.0.3')
config = Config(
config={
'sampler': {
'type': 'const',
'param': 1,
},
'logging': True,
},
service_name='workout-gateway',
validate=True,
)
tracer = config.initialize_tracer()
