iframe-proxy | Sunbelt Computer Software

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# Copyright 2018 Google LLC
# Licensed 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.
# [START functions_tips_infinite_retries]
from datetime import datetime, timezone
# [END functions_tips_infinite_retries]
# [START functions_tips_gcp_apis]
# [END functions_tips_gcp_apis]
# [START functions_tips_infinite_retries]
# The 'python-dateutil' package must be included in requirements.txt.
from dateutil import parser
# [END functions_tips_infinite_retries]
# [START functions_tips_retry]
from google.cloud import error_reporting
# [END functions_tips_retry]
# [START functions_tips_gcp_apis]
from google.cloud import pubsub_v1
# [END functions_tips_gcp_apis]
# [START functions_tips_connection_pooling]
import requests
# [END functions_tips_connection_pooling]
# Placeholder
def file_wide_computation():
    return 1
# Placeholder
def function_specific_computation():
    return 1
# [START functions_tips_lazy_globals]
# Always initialized (at cold-start)
non_lazy_global = file_wide_computation()
# Declared at cold-start, but only initialized if/when the function executes
lazy_global = None
def lazy_globals(request):
    HTTP Cloud Function that uses lazily-initialized globals.
        request (flask.Request): The request object.
        <http://flask.pocoo.org/docs/1.0/api/#flask.Request>
    Returns:
        The response text, or any set of values that can be turned into a
        Response object using `make_response`
        <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>.
    global lazy_global, non_lazy_global
    # This value is initialized only if (and when) the function is called
    if not lazy_global:
        lazy_global = function_specific_computation()
    return 'Lazy: {}, non-lazy: {}.'.format(lazy_global, non_lazy_global)
# [END functions_tips_lazy_globals]
# [START functions_tips_connection_pooling]
# Create a global HTTP session (which provides connection pooling)
session = requests.Session()
def connection_pooling(request):
    HTTP Cloud Function that uses a connection pool to make HTTP requests.
        request (flask.Request): The request object.
        <http://flask.pocoo.org/docs/1.0/api/#flask.Request>
    Returns:
        The response text, or any set of values that can be turned into a
        Response object using `make_response`
        <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>.
    # The URL to send the request to
    url = 'http://example.com'
    # Process the request
    response = session.get(url)
    response.raise_for_status()
    return 'Success!'
# [END functions_tips_connection_pooling]
# [START functions_tips_gcp_apis]
# Create a global Pub/Sub client to avoid unneeded network activity
pubsub = pubsub_v1.PublisherClient()
def gcp_api_call(request):
    HTTP Cloud Function that uses a cached client library instance to
    reduce the number of connections required per function invocation.
        request (flask.Request): The request object.
    Returns:
        The response text, or any set of values that can be turned into a
        Response object using `make_response`
        <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>.
    project = os.getenv('GCP_PROJECT')
    request_json = request.get_json()
    topic_name = request_json['topic']
    topic_path = pubsub.topic_path(project, topic_name)
    # Process the request
    data = 'Test message'.encode('utf-8')
    pubsub.publish(topic_path, data=data)
    return '1 message published'
# [END functions_tips_gcp_apis]
# [START functions_tips_infinite_retries]
def avoid_infinite_retries(data, context):
    """Background Cloud Function that only executes within a certain
    time period after the triggering event.
        data (dict): The event payload.
        context (google.cloud.functions.Context): The event metadata.
    Returns:
        None; output is written to Stackdriver Logging
    timestamp = context.timestamp
    event_time = parser.parse(timestamp)
    event_age = (datetime.now(timezone.utc) - event_time).total_seconds()
    event_age_ms = event_age * 1000
    # Ignore events that are too old
    max_age_ms = 10000
    if event_age_ms > max_age_ms:
        print('Dropped {} (age {}ms)'.format(context.event_id, event_age_ms))
        return 'Timeout'
    # Do what the function is supposed to do
    print('Processed {} (age {}ms)'.format(context.event_id, event_age_ms))
# [END functions_tips_infinite_retries]
# [START functions_tips_retry]
error_client = error_reporting.Client()
def retry_or_not(data, context):
    """Background Cloud Function that demonstrates how to toggle retries.
        data (dict): The event payload.
        context (google.cloud.functions.Context): The event metadata.
    Returns:
        None; output is written to Stackdriver Logging
    if data.data.get('retry'):
        try_again = True
        try_again = False
        raise RuntimeError('I failed you')
    except RuntimeError:
        error_client.report_exception()
        if try_again:
            raise  # Raise the exception and try again
        else:
            pass   # Swallow the exception and don't retry
# [END functions_tips_retry]
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