Adding new Managed VMs samples.

managed_vms/.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*,cover
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/

managed_vms/README.md

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+## Google App Engine Managed VMs Python Samples
+
+These are samples for using Python on Google App Engine Managed VMs. These samples are typically referenced from the [docs](https://cloud.google.com/appengine/docs).
+
+See our other [Google Cloud Platform github repos](https://github.com/GoogleCloudPlatform) for sample applications and
+scaffolding for other frameworks and use cases.
+
+## Run Locally
+
+Some samples have specific instructions. If there is a README in the sample folder, pleaese refer to it for any additional steps required to run the sample.
+
+In general, the samples typically require:
+
+1. Install the [Google Cloud SDK](https://cloud.google.com/sdk/), including the [gcloud tool](https://cloud.google.com/sdk/gcloud/), and [gcloud app component](https://cloud.google.com/sdk/gcloud-app).
+
+2. Setup the gcloud tool. This provides authentication to Google Cloud APIs and services.
+
+   ```
+   gcloud init
+   ```
+
+3. Clone this repo.
+
+   ```
+   git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
+   cd python-docs-samples/managed_vms
+   ```
+
+4. Open a sample folder, create a virtualenv, install dependencies, and run the sample:
+
+   ```
+   cd hello-world
+   virtualenv env
+   source env/bin/activate
+   pip install -r requirements.txt
+   python main.py
+   ```
+
+5. Visit the application at [http://localhost:8080](http://localhost:8080).
+
+
+## Deploying
+
+Some samples in this repositories may have special deployment instructions. Refer to the readme in the sample directory.
+
+1. Use the [Google Developers Console](https://console.developer.google.com)  to create a project/app id. (App id and project id are identical)
+
+2. Setup the gcloud tool, if you haven't already.
+
+   ```
+   gcloud init
+   ```
+
+3. Use gcloud to deploy your app.
+
+   ```
+   gcloud preview app deploy app.yaml
+   ```
+
+4. Congratulations!  Your application is now live at `your-app-id.appspot.com`
+
+## Contributing changes
+
+* See [CONTRIBUTING.md](../CONTRIBUTING.md)
+
+## Licensing
+
+* See [LICENSE](../LICENSE)

managed_vms/analytics/.dockerignore

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+.dockerignore
+Dockerfile
+.git
+.hg
+.svn
+env
+*.pyc
+__pycache__

managed_vms/analytics/Dockerfile

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+FROM gcr.io/google_appengine/python
+
+# Change the -p argument to use Python 2.7 if desired.
+RUN virtualenv /env -p python3.4
+
+# Set virtualenv environment variables. This is equivalent to running
+# source /env/bin/activate.
+ENV VIRTUAL_ENV /env
+ENV PATH /env/bin:$PATH
+
+ADD requirements.txt /app/
+RUN pip install -r requirements.txt
+ADD . /app/
+
+CMD gunicorn -b :$PORT main:app

managed_vms/analytics/README.md

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+# Google Analytics Measurement Protocol sample for Google App Engine Managed VMs
+
+This sample demonstrates how to use the [Google Analytics Measurement Protocol](https://developers.google.com/analytics/devguides/collection/protocol/v1/) (or any other SQL server) on [Google App Engine Managed VMs](https://cloud.google.com/appengine).
+
+## Setup
+
+Before you can run or deploy the sample, you will need to do the following:
+
+1. Create a Google Analytics Property and obtain the Tracking ID.
+
+2. Update the environment variables in  in ``app.yaml`` with your Tracking ID.
+
+## Running locally
+
+Refer to the [top-level README](../README.md) for instructions on running and deploying.
+
+You will need to set the following environment variables via your shell before running the sample:
+
+    $ export GA_TRACKING_ID=[your Tracking ID]
+    $ python main.py

managed_vms/analytics/app.yaml

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+runtime: custom
+vm: true
+
+#[START env]
+env_variables:
+    GA_TRACKING_ID: your-tracking-id
+#[END env]

managed_vms/analytics/main.py

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+# Copyright 2015 Google Inc. All Rights Reserved.
+#
+# 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 app]
+import os
+
+from flask import Flask
+import requests
+
+
+app = Flask(__name__)
+
+
+# Environment variables are defined in app.yaml.
+GA_TRACKING_ID = os.environ['GA_TRACKING_ID']
+
+
+def track_event(category, action, label=None, value=None):
+    data = {
+        'v': '1',  # API Version.
+        'tid': GA_TRACKING_ID,  # Tracking ID / Property ID.
+        # Anonymous Client Identifier. Ideally, this should be a UUID that
+        # is associated with particular user, device, or browser instance.
+        'cid': '555',
+        't': 'event',  # Event hit type.
+        'ec': category,  # Event category.
+        'ea': action,  # Event action.
+        'el': label,  # Event label.
+        'ev': value,  # Event valueself.
+    }
+
+    response = requests.post(
+        'http://www.google-analytics.com/collect', data=data)
+
+    # If the request fails, this will raise a RequestException. Depending
+    # on your application's needs, this may be a non-error and can be caught
+    # by the caller.
+    response.raise_for_status()
+
+
+@app.route('/')
+def track_example():
+    track_event(
+        category='Example',
+        action='test action')
+    return 'Event tracked.'
+
+
+if __name__ == '__main__':
+    # This is used when running locally. Gunicorn is used to run the
+    # application on Google App Engine. See CMD in Dockerfile.
+    app.run(host='127.0.0.1', port=8080, debug=True)
+# [END app]

managed_vms/analytics/requirements.txt

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+Flask==0.10.1
+gunicorn==19.4.5
+requests[security]==2.9.1

managed_vms/cloudsql/.dockerignore

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+.dockerignore
+Dockerfile
+.git
+.hg
+.svn
+env
+*.pyc
+__pycache__

managed_vms/cloudsql/Dockerfile

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+FROM gcr.io/google_appengine/python
+
+# Change the -p argument to use Python 2.7 if desired.
+RUN virtualenv /env -p python3.4
+
+# Set virtualenv environment variables. This is equivalent to running
+# source /env/bin/activate.
+ENV VIRTUAL_ENV /env
+ENV PATH /env/bin:$PATH
+
+ADD requirements.txt /app/
+RUN pip install -r requirements.txt
+ADD . /app/
+
+CMD gunicorn -b :$PORT main:app

managed_vms/cloudsql/README.md

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+# Python Google Cloud SQL sample for Google App Engine Managed VMs
+
+This sample demonstrates how to use [Google Cloud SQL](https://cloud.google.com/sql/) (or any other SQL server) on [Google App Engine Managed VMs](https://cloud.google.com/appengine).
+
+## Setup
+
+Before you can run or deploy the sample, you will need to do the following:
+
+1. Create a Cloud SQL instance. You can do this from the [Google Developers Console](https://console.developers.google.com) or via the [Cloud SDK](https://cloud.google.com/sdk). To create it via the SDK use the following command:
+
+        $ gcloud sql instances create [your-instance-name] \
+            --assign-ip \
+            --authorized-networks 0.0.0.0/0 \
+            --tier D0
+
+2. Create a new user and database for the application. The easiest way to do this is via the [Google Developers Console](https://console.developers.google.com/project/_/sql/instances/example-instance2/access-control/users). Alternatively, you can use MySQL tools such as the command line client or workbench, but you will need to set a root password for your database using `gcloud sql instances set-root-password`.
+
+3. Update the connection string in ``app.yaml`` with your instance values.
+
+4. Finally, run ``create_tables.py`` to ensure that the database is properly configured and to create the tables needed for the sample.
+
+## Running locally
+
+Refer to the [top-level README](../README.md) for instructions on running and deploying.
+
+You will need to set the following environment variables via your shell before running the sample:
+
+    $ export SQLALCHEMY_DATABASE_URI=[your connection string]
+    $ python main.py

managed_vms/cloudsql/app.yaml

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+runtime: custom
+vm: true
+
+#[START env]
+env_variables:
+    # Replace user, password, and host with the values obtained when
+    # configuring your Cloud SQL instance.
+    SQLALCHEMY_DATABASE_URI: mysql+pymysql://user:password@host/db
+    # If you are connecting over SSL, you can specify your certificates by
+    # using a connection string such as:
+    #    > mysql+pymysql://user:password@host/db?
+    #    ssl_key=client-key.pem?ssl_cert=client-cert.pem?ssl_ca=server-ca.pem
+#[END env]

managed_vms/cloudsql/create_tables.py

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+#! /usr/bin/env python
+# Copyright 2015 Google Inc. All Rights Reserved.
+#
+# 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 all]
+
+from main import db
+
+
+if __name__ == '__main__':
+    print('Creating all database tables...')
+    db.create_all()
+    print('Done!')
+# [END all]