├── .gitignore ├── Docker ├── pull_pubsub_docker │ ├── Your_key.json │ ├── requirements.txt │ ├── Dockerfile │ └── config_geo_pubsub_pull.py └── push_pubsub_docker │ ├── Your_key.json │ ├── requirements.txt │ ├── Dockerfile │ └── config_geo_pubsub_push.py ├── images ├── geo_bq-arch.png ├── visual-map.png ├── geo_bq-push-4.png ├── geo_bq-subs-3.png ├── geo_bq_pull-5.png ├── geo_bq-schema-6.png └── geo_bq-topic-2.png ├── resources ├── requirements.txt ├── geocoded_journeys.json ├── setup.yaml ├── setup.sh ├── data │ ├── Mobile-GPS-Trip1001.csv │ ├── Mobile-GPS-Trip1006.csv │ ├── Mobile-GPS-Trip1003.csv │ ├── Mobile-GPS-Trip1.csv │ ├── Mobile-GPS-Trip1002.csv │ ├── Mobile-GPS-Trip100.csv │ ├── Mobile-GPS-Trip1000.csv │ ├── Mobile-GPS-Trip1004.csv │ ├── Mobile-GPS-Trip1005.csv │ └── Mobile-GPS-Trip10.csv └── Freeways-Metadata-2010_01_01-copyright-san-diego.txt ├── CONTRIBUTING.md ├── config_geo_pubsub_push.py ├── web └── bqapi.html ├── config_geo_pubsub_pull.py ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store -------------------------------------------------------------------------------- /Docker/pull_pubsub_docker/Your_key.json: -------------------------------------------------------------------------------- 1 | { 2 | REPLACE FILE WITH YOUR ACTUAL CREDENTIAL FILE 3 | } -------------------------------------------------------------------------------- /Docker/push_pubsub_docker/Your_key.json: -------------------------------------------------------------------------------- 1 | { 2 | REPLACE FILE WITH YOUR ACTUAL CREDENTIAL FILE 3 | } -------------------------------------------------------------------------------- /images/geo_bq-arch.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/geo_bq-arch.png -------------------------------------------------------------------------------- /images/visual-map.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/visual-map.png -------------------------------------------------------------------------------- /images/geo_bq-push-4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/geo_bq-push-4.png -------------------------------------------------------------------------------- /images/geo_bq-subs-3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/geo_bq-subs-3.png -------------------------------------------------------------------------------- /images/geo_bq_pull-5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/geo_bq_pull-5.png -------------------------------------------------------------------------------- /images/geo_bq-schema-6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/geo_bq-schema-6.png -------------------------------------------------------------------------------- /images/geo_bq-topic-2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GoogleCloudPlatform/bigquery-reverse-geolocation/HEAD/images/geo_bq-topic-2.png -------------------------------------------------------------------------------- /resources/requirements.txt: -------------------------------------------------------------------------------- 1 | gcloud>=0.7.1 2 | google-api-python-client>=1.3.2 3 | google-apitools>=0.4.10 4 | pyYAML>=3.11 5 | oauth2client>=1.4.12 6 | python-dateutil==2.4.2 7 | httplib2==0.9.1 8 | googlemaps>=2.3.0 -------------------------------------------------------------------------------- /Docker/pull_pubsub_docker/requirements.txt: -------------------------------------------------------------------------------- 1 | gcloud>=0.7.1 2 | google-api-python-client>=1.3.2 3 | google-apitools>=0.4.10 4 | pyYAML>=3.11 5 | oauth2client>=1.4.12 6 | python-dateutil==2.4.2 7 | httplib2==0.9.1 8 | googlemaps>=2.3.0 -------------------------------------------------------------------------------- /Docker/push_pubsub_docker/requirements.txt: -------------------------------------------------------------------------------- 1 | gcloud>=0.7.1 2 | google-api-python-client>=1.3.2 3 | google-apitools>=0.4.10 4 | pyYAML>=3.11 5 | oauth2client>=1.4.12 6 | python-dateutil==2.4.2 7 | httplib2==0.9.1 8 | googlemaps>=2.3.0 -------------------------------------------------------------------------------- /resources/geocoded_journeys.json: -------------------------------------------------------------------------------- 1 | [ 2 | {"name": "VehicleID", "type": "integer", "mode": "required" }, 3 | {"name": "UTCTime", "type": "timestamp", "mode": "required" }, 4 | {"name": "Offset", "type": "float", "mode" : "nullable"}, 5 | {"name": "Address", "type": "string", "mode" : "nullable"}, 6 | {"name": "Zipcode", "type": "string", "mode" : "nullable"}, 7 | {"name": "Speed", "type": "float", "mode" : "nullable"}, 8 | {"name": "Bearing", "type": "float", "mode" : "nullable"}, 9 | {"name": "Elevation", "type": "float", "mode" : "nullable"}, 10 | {"name": "Latitude", "type": "float", "mode" : "required"}, 11 | {"name": "Longitude", "type": "float", "mode" : "required"} 12 | ] -------------------------------------------------------------------------------- /resources/setup.yaml: -------------------------------------------------------------------------------- 1 | # [START setup] 2 | env: 3 | # Change to your project ID 4 | PROJECT_ID: 'your-project-id' 5 | # Change to datasetid 6 | DATASET_ID: 'sandiego_freeways' 7 | # Change to tableid 8 | TABLE_ID: 'geocoded_journeys' 9 | # Change this to your pubsub topic 10 | PUBSUB_TOPIC: 'projects/your-project-id/topics/traffic' 11 | # Change the following to your rootdir 12 | ROOTDIR: '/tmp/creds/data' 13 | # Change the following to your pull subscription 14 | SUBSCRIPTION: 'projects/your-project-id/subscriptions/mysubscription' 15 | # Change to your Google Maps API Key, see https://developers.google.com/maps/web-services/ 16 | MAPS_API_KEY: 'Your-server-key' 17 | # [END setup] 18 | -------------------------------------------------------------------------------- /resources/setup.sh: -------------------------------------------------------------------------------- 1 | # Copyright 2016 Google Inc. All rights reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | #you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # # 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. 9 | # See the License for the specific language governing permissions and 10 | # setup.sh 11 | mkdir /tmp/creds 12 | bq mk sandiego_freeways 13 | bq mk --schema geocoded_journeys.json sandiego_freeways.geocoded_journeys 14 | mkdir /tmp/creds/data 15 | cp data/* /tmp/creds/data/ 16 | cp setup.yaml /tmp/creds/ 17 | -------------------------------------------------------------------------------- /Docker/pull_pubsub_docker/Dockerfile: -------------------------------------------------------------------------------- 1 | # Copyright 2016 Google Inc. All rights reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | #you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # 14 | # geo_pubsub_pull 15 | # 16 | # VERSION 0.0.1 17 | 18 | FROM python:2.7 19 | RUN mkdir -p /usr/src/app 20 | WORKDIR /usr/src/app 21 | COPY requirements.txt /usr/src/app/ 22 | RUN pip install --no-cache-dir -r requirements.txt 23 | COPY . /usr/src/app 24 | CMD ["python", "./config_geo_pubsub_pull.py"] -------------------------------------------------------------------------------- /Docker/push_pubsub_docker/Dockerfile: -------------------------------------------------------------------------------- 1 | # Copyright 2016 Google Inc. All rights reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | #you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # 14 | # geo_pubsub_push 15 | # 16 | # VERSION 0.0.1 17 | 18 | FROM python:2.7 19 | RUN mkdir -p /usr/src/app 20 | WORKDIR /usr/src/app 21 | COPY requirements.txt /usr/src/app/ 22 | RUN pip install --no-cache-dir -r requirements.txt 23 | COPY . /usr/src/app 24 | CMD ["python", "./config_geo_pubsub_push.py"] -------------------------------------------------------------------------------- /resources/data/Mobile-GPS-Trip1001.csv: -------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,175200.63,A,3318.5976,N,11718.4095,W,23.610,258.285,041110,0,W,A*1E 3 | $GPRMC,175203.63,A,3318.5893,N,11718.4298,W,22.283,228.066,041110,0,W,A*1F 4 | $GPRMC,175206.63,A,3318.5734,N,11718.4439,W,21.014,218.548,041110,0,W,A*10 5 | $GPRMC,175209.63,A,3318.5629,N,11718.4579,W,16.684,239.600,041110,0,W,A*10 6 | $GPRMC,175218.63,A,3318.5596,N,11718.4707,W,10.625,265.237,041110,0,W,A*18 7 | $GPRMC,175221.63,A,3318.5597,N,11718.4871,W,20.147,277.219,041110,0,W,A*12 8 | $GPRMC,175224.63,A,3318.5631,N,11718.5085,W,24.130,279.171,041110,0,W,A*1D 9 | $GPRMC,175227.63,A,3318.5661,N,11718.5347,W,27.252,278.339,041110,0,W,A*1D 10 | $GPRMC,175230.63,A,3318.5683,N,11718.5612,W,26.076,279.947,041110,0,W,A*15 11 | $GPRMC,175233.63,A,3318.5717,N,11718.5875,W,26.292,278.262,041110,0,W,A*10 12 | $GPRMC,175236.63,A,3318.5752,N,11718.6130,W,24.197,278.938,041110,0,W,A*1F 13 | $GPRMC,175239.63,A,3318.5788,N,11718.6348,W,19.553,276.434,041110,0,W,A*17 14 | $GPRMC,175242.63,A,3318.5809,N,11718.6477,W,6.666,277.536,041110,0,W,A*2F 15 | $GPRMC,175303.63,A,3318.5810,N,11718.6586,W,12.555,243.345,041110,0,W,A*1F 16 | $GPRMC,175306.63,A,3318.5713,N,11718.6683,W,19.414,199.366,041110,0,W,A*1A 17 | $GPRMC,175309.63,A,3318.5531,N,11718.6730,W,24.792,192.942,041110,0,W,A*1A 18 | -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | Want to contribute? Great! First, read this page (including the small print at the end). 2 | 3 | ### Before you contribute 4 | Before we can use your code, you must sign the 5 | [Google Individual Contributor License Agreement] 6 | (https://cla.developers.google.com/about/google-individual) 7 | (CLA), which you can do online. The CLA is necessary mainly because you own the 8 | copyright to your changes, even after your contribution becomes part of our 9 | codebase, so we need your permission to use and distribute your code. We also 10 | need to be sure of various other things—for instance that you'll tell us if you 11 | know that your code infringes on other people's patents. You don't have to sign 12 | the CLA until after you've submitted your code for review and a member has 13 | approved it, but you must do it before we can put your code into our codebase. 14 | Before you start working on a larger contribution, you should get in touch with 15 | us first through the issue tracker with your idea so that we can help out and 16 | possibly guide you. Coordinating up front makes it much easier to avoid 17 | frustration later on. 18 | 19 | ### Code reviews 20 | All submissions, including submissions by project members, require review. We 21 | use Github pull requests for this purpose. 22 | 23 | ### The small print 24 | Contributions made by corporations are covered by a different agreement than 25 | the one above, the 26 | [Software Grant and Corporate Contributor License Agreement] 27 | (https://cla.developers.google.com/about/google-corporate). -------------------------------------------------------------------------------- /resources/data/Mobile-GPS-Trip1006.csv: -------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,204606.61,A,3313.4470,N,11723.5048,W,27.624,176.084,041110,0,W,A*1C 3 | $GPRMC,204609.61,A,3313.4176,N,11723.5024,W,39.720,174.940,041110,0,W,A*13 4 | $GPRMC,204612.61,A,3313.3791,N,11723.5002,W,46.646,175.232,041110,0,W,A*13 5 | $GPRMC,204615.61,A,3313.3395,N,11723.4938,W,47.504,168.438,041110,0,W,A*11 6 | $GPRMC,204618.61,A,3313.3013,N,11723.4801,W,45.377,157.465,041110,0,W,A*1E 7 | $GPRMC,204621.61,A,3313.2661,N,11723.4613,W,43.104,155.632,041110,0,W,A*19 8 | $GPRMC,204624.61,A,3313.2336,N,11723.4429,W,40.821,155.093,041110,0,W,A*10 9 | $GPRMC,204627.61,A,3313.2035,N,11723.4260,W,39.011,155.897,041110,0,W,A*11 10 | $GPRMC,204630.61,A,3313.1743,N,11723.4103,W,37.792,156.458,041110,0,W,A*1A 11 | $GPRMC,204633.61,A,3313.1456,N,11723.3952,W,38.037,155.643,041110,0,W,A*19 12 | $GPRMC,204636.61,A,3313.1160,N,11723.3796,W,38.676,155.806,041110,0,W,A*16 13 | $GPRMC,204639.61,A,3313.0863,N,11723.3637,W,38.956,155.777,041110,0,W,A*1C 14 | $GPRMC,204642.61,A,3313.0568,N,11723.3475,W,38.301,155.821,041110,0,W,A*16 15 | $GPRMC,204645.61,A,3313.0282,N,11723.3324,W,36.327,156.266,041110,0,W,A*11 16 | $GPRMC,204648.61,A,3313.0035,N,11723.3189,W,27.326,153.572,041110,0,W,A*11 17 | $GPRMC,204651.61,A,3312.9864,N,11723.3095,W,18.535,154.197,041110,0,W,A*11 18 | $GPRMC,204654.61,A,3312.9769,N,11723.3048,W,8.175,153.999,041110,0,W,A*26 19 | -------------------------------------------------------------------------------- /resources/data/Mobile-GPS-Trip1003.csv: -------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,184512.62,A,3318.1740,N,11720.6742,W,9.965,242.788,041110,0,W,A*28 3 | $GPRMC,184515.62,A,3318.1653,N,11720.6858,W,18.616,217.840,041110,0,W,A*18 4 | $GPRMC,184518.62,A,3318.1477,N,11720.6984,W,27.568,212.621,041110,0,W,A*1B 5 | $GPRMC,184521.62,A,3318.1259,N,11720.7133,W,32.224,213.429,041110,0,W,A*1E 6 | $GPRMC,184524.62,A,3318.1010,N,11720.7311,W,34.377,213.069,041110,0,W,A*17 7 | $GPRMC,184527.62,A,3318.0765,N,11720.7497,W,33.547,214.049,041110,0,W,A*1E 8 | $GPRMC,184530.62,A,3318.0533,N,11720.7660,W,30.417,209.163,041110,0,W,A*11 9 | $GPRMC,184533.62,A,3318.0322,N,11720.7807,W,26.569,213.473,041110,0,W,A*1B 10 | $GPRMC,184536.62,A,3318.0150,N,11720.7941,W,21.059,212.500,041110,0,W,A*1F 11 | $GPRMC,184539.62,A,3318.0039,N,11720.8029,W,11.066,212.839,041110,0,W,A*1E 12 | $GPRMC,184627.62,A,3317.9936,N,11720.8093,W,10.021,196.724,041110,0,W,A*1D 13 | $GPRMC,184630.62,A,3317.9827,N,11720.8057,W,16.639,147.728,041110,0,W,A*1B 14 | $GPRMC,184633.62,A,3317.9692,N,11720.7940,W,21.395,150.945,041110,0,W,A*1C 15 | $GPRMC,184636.62,A,3317.9512,N,11720.7848,W,23.921,168.891,041110,0,W,A*1F 16 | $GPRMC,184639.62,A,3317.9317,N,11720.7819,W,24.963,174.920,041110,0,W,A*10 17 | $GPRMC,184642.62,A,3317.9105,N,11720.7799,W,26.975,175.667,041110,0,W,A*12 18 | $GPRMC,184645.62,A,3317.8876,N,11720.7747,W,28.756,167.905,041110,0,W,A*13 19 | $GPRMC,184648.62,A,3317.8631,N,11720.7639,W,29.353,157.485,041110,0,W,A*1D 20 | $GPRMC,184651.62,A,3317.8404,N,11720.7501,W,30.279,150.816,041110,0,W,A*19 21 | $GPRMC,184654.62,A,3317.8191,N,11720.7356,W,28.835,153.020,041110,0,W,A*14 22 | $GPRMC,184657.62,A,3317.7966,N,11720.7250,W,27.316,166.975,041110,0,W,A*15 23 | $GPRMC,184700.62,A,3317.7740,N,11720.7219,W,27.720,175.518,041110,0,W,A*15 24 | $GPRMC,184703.62,A,3317.7517,N,11720.7190,W,27.628,175.253,041110,0,W,A*15 25 | $GPRMC,184706.62,A,3317.7293,N,11720.7174,W,26.998,173.474,041110,0,W,A*11 26 | $GPRMC,184709.62,A,3317.7086,N,11720.7113,W,26.712,164.221,041110,0,W,A*15 27 | $GPRMC,184712.62,A,3317.6896,N,11720.6995,W,24.950,145.631,041110,0,W,A*1C 28 | $GPRMC,184715.62,A,3317.6757,N,11720.6816,W,24.567,133.386,041110,0,W,A*13 29 | $GPRMC,184718.62,A,3317.6617,N,11720.6640,W,23.563,130.079,041110,0,W,A*15 30 | $GPRMC,184721.62,A,3317.6484,N,11720.6469,W,22.254,130.885,041110,0,W,A*17 31 | $GPRMC,184724.62,A,3317.6361,N,11720.6305,W,21.493,130.346,041110,0,W,A*19 32 | $GPRMC,184727.62,A,3317.6253,N,11720.6159,W,19.627,130.595,041110,0,W,A*1F 33 | $GPRMC,184730.62,A,3317.6162,N,11720.6029,W,17.141,129.053,041110,0,W,A*10 34 | $GPRMC,184733.62,A,3317.6079,N,11720.5911,W,16.058,133.112,041110,0,W,A*1E 35 | $GPRMC,184736.62,A,3317.5985,N,11720.5810,W,15.503,148.779,041110,0,W,A*1D 36 | $GPRMC,184739.62,A,3317.5850,N,11720.5793,W,15.970,194.270,041110,0,W,A*1A 37 | $GPRMC,184742.62,A,3317.5718,N,11720.5875,W,16.668,210.921,041110,0,W,A*17 38 | $GPRMC,184745.62,A,3317.5583,N,11720.5957,W,17.424,213.511,041110,0,W,A*16 39 | $GPRMC,184748.62,A,3317.5454,N,11720.6036,W,16.895,211.940,041110,0,W,A*10 40 | $GPRMC,184751.62,A,3317.5331,N,11720.6117,W,16.214,213.622,041110,0,W,A*14 41 | -------------------------------------------------------------------------------- /resources/Freeways-Metadata-2010_01_01-copyright-san-diego.txt: -------------------------------------------------------------------------------- 1 | This file contains the copyright information for the data "San Diego" data sets. 2 | 3 | Data Set: "Freeway Data - 30 sec." 4 | Original Data Source: California DOT (Caltrans) Performance Measurement System (PeMS) 5 | Copyright owner: Public domain 6 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 7 | 8 | Data Set: "Freeway Data - 5 min." 9 | Original Data Source: California DOT (Caltrans) Performance Measurement System (PeMS) 10 | Copyright owner: Public domain 11 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 12 | 13 | Data Set: "Freeway Data - Daily" 14 | Original Data Source: California DOT (Caltrans) Performance Measurement System (PeMS) 15 | Copyright owner: Public domain 16 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 17 | 18 | Data Set: "Freeway Data - Hourly" 19 | Original Data Source: California DOT (Caltrans) Performance Measurement System (PeMS) 20 | Copyright owner: Public domain 21 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 22 | 23 | Data Set: "Freeway Detector Configuration" 24 | Original Data Source: California DOT (Caltrans) Performance Measurement System (PeMS) 25 | Copyright owner: Public domain 26 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 27 | 28 | Data Set: "Freeway Incident and Lane Closure Detector Locations" 29 | Original Data Source: California DOT (Caltrans) Performance Measurement System (PeMS) 30 | Copyright owner: Public domain 31 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 32 | 33 | Data Set: "Freeway incidents" 34 | Original Data Source: California Highway Patrol (CHP) 35 | Copyright owner: Public domain 36 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 37 | 38 | Data Set: "Freeway Lane Closures" 39 | Original Data Source: California DOT (Caltrans) Lane Closure System 40 | Copyright owner: Public domain 41 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 42 | 43 | Data Set: "GPS Trips Dataset" 44 | Original Data Source: ALK Co-Pilot 45 | Copyright owner: ALK Technologies 46 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 47 | 48 | Data Set: "GPS Trips Gridded Dataset" 49 | Original Data Source: ALK Co-Pilot 50 | Copyright owner: ALK Technologies 51 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 52 | 53 | Data Set: "GPS Trips - One point per link" 54 | Original Data Source: ALK Co-Pilot 55 | Copyright owner: ALK Technologies 56 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 57 | 58 | Data Set: "Grip Map Data" 59 | Original Data Source: ALK Co-Pilot 60 | Copyright owner: ALK Technologies 61 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 62 | 63 | Data Set: "Hourly weather data" 64 | Original Data Source: National Weather Service 65 | Copyright owner: Public domain 66 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) 67 | 68 | Data Set: "Maps of Coverage Area" 69 | Original Data Source: AlK Technologies (Figure 4 only) 70 | Copyright owner: AlK Technologies (Figure 4 only) 71 | License: Creative Commons Attribution-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-sa/3.0/legalcode) -------------------------------------------------------------------------------- /Docker/push_pubsub_docker/config_geo_pubsub_push.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # Copyright 2016 Google Inc. All Rights Reserved. 3 | # 4 | # Licensed under the Apache License, Version 2.0 (the "License"); 5 | # you may not use this file except in compliance with the License. 6 | # You may obtain a copy of the License at 7 | # 8 | # http://www.apache.org/licenses/LICENSE-2.0 9 | # 10 | # Unless required by applicable law or agreed to in writing, software 11 | # distributed under the License is distributed on an "AS IS" BASIS, 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | # See the License for the specific language governing permissions and 14 | # limitations under the License. 15 | 16 | """ 17 | This script reads traffic sensor data from a set of csv files, adding vehicle id, geo encodes the files and publishes that data 18 | to PubSub. If you run it on a GCE instance, this instance must be 19 | created with the "Cloud Platform" Project Access enabled. Click on 20 | "Show advanced options" when creating the image to find this setting. 21 | 22 | Before you run the script, create one PubSub topic, in the same project as the 23 | GCE instance you will run on, to publish to. Edit the TRAFFIC_TOPIC or you can 24 | pass in the names as a command-line argument. 25 | 26 | Before you run this script, download some demo data files (~2GB): 27 | curl -O \ 28 | http://storage.googleapis.com/aju-sd-traffic/unzipped/Freeways-5Minaa2010-01-01_to_2010-02-15.csv 29 | Or, for a smaller test file, you can use: 30 | http://storage.googleapis.com/aju-sd-traffic/unzipped/Freeways-5Minaa2010-01-01_to_2010-02-15_test2.csv 31 | These files contain real traffic sensor data from San Diego freeways. 32 | See this file for copyright info: 33 | http://storage.googleapis.com/aju-sd-traffic/freeway_detector_config/Freeways-Metadata-2010_01_01/copyright(san%20diego).txt 34 | 35 | Usage: 36 | 37 | Run the script passing in the location of the folder that contains the csv files 38 | % python geo_pubsub.py --fileloc 'your_folder_location' 39 | Run 'python traffic_pubsub_generator.py -h' for more information. 40 | """ 41 | import argparse 42 | import base64 43 | import csv 44 | import datetime 45 | import random 46 | import sys 47 | import time 48 | import os 49 | import datetime 50 | import yaml 51 | import googlemaps 52 | 53 | from apiclient import discovery 54 | from dateutil.parser import parse 55 | import httplib2 56 | from oauth2client import client as oauth2client 57 | 58 | with open("/tmp/creds/setup.yaml", 'r') as varfile: 59 | cfg = yaml.load(varfile) 60 | 61 | # default; set to your traffic topic. Can override on command line. 62 | TRAFFIC_TOPIC = cfg["env"]["PUBSUB_TOPIC"] 63 | PUBSUB_SCOPES = ['https://www.googleapis.com/auth/pubsub'] 64 | NUM_RETRIES = 3 65 | ROOTDIR = cfg["env"]["ROOTDIR"] 66 | 67 | 68 | def create_pubsub_client(http=None): 69 | credentials = oauth2client.GoogleCredentials.get_application_default() 70 | if credentials.create_scoped_required(): 71 | credentials = credentials.create_scoped(PUBSUB_SCOPES) 72 | if not http: 73 | http = httplib2.Http() 74 | credentials.authorize(http) 75 | return discovery.build('pubsub', 'v1', http=http) 76 | 77 | 78 | def publish(client, pubsub_topic, data_line, msg_attributes=None): 79 | """Publish to the given pubsub topic.""" 80 | data = base64.b64encode(data_line) 81 | msg_payload = {'data': data} 82 | if msg_attributes: 83 | msg_payload['attributes'] = msg_attributes 84 | body = {'messages': [msg_payload]} 85 | resp = client.projects().topics().publish( 86 | topic=pubsub_topic, body=body).execute(num_retries=NUM_RETRIES) 87 | return resp 88 | 89 | def create_timestamp(hms,dmy): 90 | """Format two time/date columns as a datetime object""" 91 | h = int(hms[0:2]) 92 | m = int(hms[2:4]) 93 | s = int(hms[4:6]) 94 | #print "{0} {1} {2}".format(h,m,s) 95 | d= int(dmy[0:2]) 96 | m = int(dmy[2:4]) 97 | y = int(dmy[4:6]) + 2000 98 | #print "{0} {1} {2}".format(d,m,y) 99 | return (str(datetime.datetime(y,m,d,h,m,s))) 100 | 101 | 102 | def main(argv): 103 | parser = argparse.ArgumentParser() 104 | 105 | parser.add_argument("--fileloc", default=ROOTDIR, help="input folder with csv files") 106 | parser.add_argument("--topic", default=TRAFFIC_TOPIC, 107 | help="The pubsub 'traffic' topic to publish to. " + 108 | "Should already exist.") 109 | 110 | args = parser.parse_args() 111 | 112 | pubsub_topic = args.topic 113 | print "Publishing to pubsub 'traffic' topic: %s" % pubsub_topic 114 | 115 | rootdir = args.fileloc 116 | print "Folder to process: %s" % rootdir 117 | 118 | 119 | client = create_pubsub_client() 120 | 121 | for subdir, dirs, files in os.walk(rootdir): 122 | for file in files: 123 | #San Diego data file names include trip ID, use this to identify each journey 124 | name_ext = file.split(".") 125 | vehicleID = name_ext[0][15:] 126 | 127 | myfile = os.path.join(subdir,file) 128 | print myfile 129 | line_count = 0 130 | with open(myfile) as data_file: 131 | reader = csv.reader(data_file) 132 | for line in reader: 133 | line_count += 1 134 | # print "%s lines processed" % line_count 135 | if line_count > 1: 136 | #Convert NMEA GPS format to decimal degrees 137 | #see http://www.gpsinformation.org/dale/nmea.htm#position for NMEA GPS format details 138 | lat = float(line[3][0:2]) 139 | lng = float(line[5][0:3]) 140 | lng_minutes = float(line[5][3:])/60 141 | lat_minutes = float(line[3][2:])/60 142 | latitude = lat + lat_minutes 143 | longitude = 0 - (lng + lng_minutes) 144 | ts = create_timestamp(line[1],line[9]) 145 | msg_attributes = {'timestamp': ts} 146 | print "Vehicle ID: {0}, location: {1}, {2}; speed: {3} mph, bearing: {4} degrees".format(vehicleID, latitude,longitude, line[7], line[8]) 147 | proc_line = "{0}, {1}, {2}, {3} ,{4} ".format(vehicleID, latitude,longitude, line[7], line[8]) 148 | publish(client, pubsub_topic, proc_line, msg_attributes) 149 | 150 | if __name__ == '__main__': 151 | main(sys.argv) 152 | -------------------------------------------------------------------------------- /config_geo_pubsub_push.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # Copyright 2016 Google Inc. All Rights Reserved. 3 | # 4 | # Licensed under the Apache License, Version 2.0 (the "License"); 5 | # you may not use this file except in compliance with the License. 6 | # You may obtain a copy of the License at 7 | # 8 | # http://www.apache.org/licenses/LICENSE-2.0 9 | # 10 | # Unless required by applicable law or agreed to in writing, software 11 | # distributed under the License is distributed on an "AS IS" BASIS, 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | # See the License for the specific language governing permissions and 14 | # limitations under the License. 15 | 16 | """ 17 | This script reads traffic sensor data from a set of CSV files, 18 | adds vehicle IDs, geoencodes the files and publishes that data 19 | to Cloud Pub/Sub. If you run it on a GCE instance, this instance must be 20 | created with the "Cloud Platform" Project Access enabled. Click on 21 | "Show advanced options" when creating the image to find this setting. 22 | 23 | Before you run the script, create one Cloud Pub/Sub topic to publish to 24 | in the same project that the 25 | GCE instance you will run on. Edit TRAFFIC_TOPIC or you can 26 | pass in the topic name as a command-line argument. 27 | 28 | Before you run this script, download some demo data files (~2GB): 29 | curl -O \ 30 | http://storage.googleapis.com/aju-sd-traffic/unzipped/Freeways-5Minaa2010-01-01_to_2010-02-15.csv 31 | Or, for a smaller test file, you can use: 32 | http://storage.googleapis.com/aju-sd-traffic/unzipped/Freeways-5Minaa2010-01-01_to_2010-02-15_test2.csv 33 | These files contain real traffic sensor data from San Diego freeways. 34 | See this file for copyright info: 35 | http://storage.googleapis.com/aju-sd-traffic/freeway_detector_config/Freeways-Metadata-2010_01_01/copyright(san%20diego).txt 36 | 37 | Usage: 38 | 39 | Run the script passing in the location of the folder that contains the CSV files. 40 | % python geo_pubsub.py --fileloc 'your_folder_location' 41 | Run 'python traffic_pubsub_generator.py -h' for more information. 42 | """ 43 | import argparse 44 | import base64 45 | import csv 46 | import datetime 47 | import random 48 | import sys 49 | import time 50 | import os 51 | import datetime 52 | import yaml 53 | import googlemaps 54 | 55 | from apiclient import discovery 56 | from dateutil.parser import parse 57 | import httplib2 58 | from oauth2client import client as oauth2client 59 | 60 | with open("resources/setup.yaml", 'r') as varfile: 61 | cfg = yaml.load(varfile) 62 | 63 | # Defaults to an environment variable. 64 | # Change to your traffic topic name. Can override on command line. 65 | TRAFFIC_TOPIC = cfg["env"]["PUBSUB_TOPIC"] 66 | PUBSUB_SCOPES = ['https://www.googleapis.com/auth/pubsub'] 67 | NUM_RETRIES = 3 68 | ROOTDIR = cfg["env"]["ROOTDIR"] 69 | 70 | # [START createclient] 71 | def create_pubsub_client(http=None): 72 | credentials = oauth2client.GoogleCredentials.get_application_default() 73 | if credentials.create_scoped_required(): 74 | credentials = credentials.create_scoped(PUBSUB_SCOPES) 75 | if not http: 76 | http = httplib2.Http() 77 | credentials.authorize(http) 78 | return discovery.build('pubsub', 'v1', http=http) 79 | # [END createclient] 80 | 81 | # [START publish] 82 | def publish(client, pubsub_topic, data_line, msg_attributes=None): 83 | """Publish to the given pubsub topic.""" 84 | data = base64.b64encode(data_line) 85 | msg_payload = {'data': data} 86 | if msg_attributes: 87 | msg_payload['attributes'] = msg_attributes 88 | body = {'messages': [msg_payload]} 89 | resp = client.projects().topics().publish( 90 | topic=pubsub_topic, body=body).execute(num_retries=NUM_RETRIES) 91 | return resp 92 | # [END publish] 93 | 94 | def create_timestamp(hms,dmy): 95 | """Format two time/date columns as a datetime object""" 96 | h = int(hms[0:2]) 97 | m = int(hms[2:4]) 98 | s = int(hms[4:6]) 99 | 100 | d= int(dmy[0:2]) 101 | m = int(dmy[2:4]) 102 | y = int(dmy[4:6]) + 2000 103 | 104 | return (str(datetime.datetime(y,m,d,h,m,s))) 105 | 106 | 107 | def main(argv): 108 | parser = argparse.ArgumentParser() 109 | 110 | parser.add_argument("--fileloc", default=ROOTDIR, help="input folder with csv files") 111 | parser.add_argument("--topic", default=TRAFFIC_TOPIC, 112 | help="The pubsub 'traffic' topic to publish to. " + 113 | "Should already exist.") 114 | 115 | args = parser.parse_args() 116 | 117 | pubsub_topic = args.topic 118 | print "Publishing to pubsub 'traffic' topic: %s" % pubsub_topic 119 | 120 | rootdir = args.fileloc 121 | print "Folder to process: %s" % rootdir 122 | 123 | 124 | client = create_pubsub_client() 125 | 126 | for subdir, dirs, files in os.walk(rootdir): 127 | for file in files: 128 | # San Diego data file names include trip ID, so use this to identify each journey. 129 | name_ext = file.split(".") 130 | vehicleID = name_ext[0][15:] 131 | 132 | myfile = os.path.join(subdir,file) 133 | print myfile 134 | line_count = 0 135 | # [START processcsv] 136 | with open(myfile) as data_file: 137 | reader = csv.reader(data_file) 138 | for line in reader: 139 | line_count += 1 140 | 141 | if line_count > 1: 142 | # Convert NMEA GPS format to decimal degrees. 143 | # See http://www.gpsinformation.org/dale/nmea.htm#position for NMEA GPS format details. 144 | lat = float(line[3][0:2]) 145 | lng = float(line[5][0:3]) 146 | lng_minutes = float(line[5][3:])/60 147 | lat_minutes = float(line[3][2:])/60 148 | latitude = lat + lat_minutes 149 | longitude = 0 - (lng + lng_minutes) 150 | ts = create_timestamp(line[1],line[9]) 151 | msg_attributes = {'timestamp': ts} 152 | print "Vehicle ID: {0}, location: {1}, {2}; speed: {3} mph, bearing: {4} degrees".format(vehicleID, latitude,longitude, line[7], line[8]) 153 | proc_line = "{0}, {1}, {2}, {3} ,{4} ".format(vehicleID, latitude,longitude, line[7], line[8]) 154 | publish(client, pubsub_topic, proc_line, msg_attributes) 155 | # [END processcsv] 156 | 157 | if __name__ == '__main__': 158 | main(sys.argv) 159 | -------------------------------------------------------------------------------- /web/bqapi.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | BigQuery and Maps API 6 | 7 | 8 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 21 | 22 | 223 | 224 | 225 | 226 |
227 | 228 | 229 | -------------------------------------------------------------------------------- /resources/data/Mobile-GPS-Trip1.csv: -------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,015204.9,A,3255.215798,N,11713.835992,W,23.0,324.1,220310,,,A*48 3 | $GPRMC,015207.9,A,3255.229087,N,11713.844421,W,17.4,331.9,220310,,,A*41 4 | $GPRMC,015231.9,A,3255.233306,N,11713.847421,W,5.6,299.0,220310,,,A*7D 5 | $GPRMC,015234.9,A,3255.238362,N,11713.856787,W,9.0,296.0,220310,,,A*7B 6 | $GPRMC,015237.9,A,3255.233708,N,11713.869397,W,12.4,266.0,220310,,,A*43 7 | $GPRMC,015240.9,A,3255.217416,N,11713.887839,W,21.6,230.3,220310,,,A*44 8 | $GPRMC,015243.9,A,3255.194624,N,11713.913800,W,31.1,223.5,220310,,,A*48 9 | $GPRMC,015246.9,A,3255.172415,N,11713.935976,W,32.9,224.2,220310,,,A*4A 10 | $GPRMC,015249.9,A,3255.152885,N,11713.962017,W,33.9,231.1,220310,,,A*48 11 | $GPRMC,015252.9,A,3255.138177,N,11713.983415,W,27.8,233.3,220310,,,A*47 12 | $GPRMC,015255.9,A,3255.127282,N,11714.002321,W,21.2,235.6,220310,,,A*4F 13 | $GPRMC,015258.9,A,3255.114905,N,11714.022819,W,23.7,234.8,220310,,,A*4C 14 | $GPRMC,015301.9,A,3255.100868,N,11714.044429,W,28.4,231.7,220310,,,A*43 15 | $GPRMC,015304.9,A,3255.085487,N,11714.067032,W,29.6,231.2,220310,,,A*4E 16 | $GPRMC,015312.9,A,3255.053546,N,11714.111338,W,19.3,222.5,220310,,,A*44 17 | $GPRMC,015342.9,A,3255.050615,N,11714.113036,W,7.9,202.0,220310,,,A*7A 18 | $GPRMC,015345.9,A,3255.043115,N,11714.111218,W,8.4,180.4,220310,,,A*7B 19 | $GPRMC,015348.9,A,3255.031574,N,11714.099058,W,12.4,147.1,220310,,,A*42 20 | $GPRMC,015351.9,A,3255.013283,N,11714.072046,W,23.1,134.1,220310,,,A*4C 21 | $GPRMC,015354.9,A,3254.981435,N,11714.016910,W,45.4,128.8,220310,,,A*48 22 | $GPRMC,015357.9,A,3254.951994,N,11713.970549,W,49.8,128.5,220310,,,A*43 23 | $GPRMC,015400.9,A,3254.922718,N,11713.928436,W,51.0,130.4,220310,,,A*45 24 | $GPRMC,015403.9,A,3254.891098,N,11713.887599,W,55.0,135.1,220310,,,A*44 25 | $GPRMC,015406.9,A,3254.852655,N,11713.851145,W,58.9,142.6,220310,,,A*44 26 | $GPRMC,015409.9,A,3254.810846,N,11713.816228,W,61.8,145.9,220310,,,A*49 27 | $GPRMC,015412.9,A,3254.763945,N,11713.785034,W,64.2,150.9,220310,,,A*4B 28 | $GPRMC,015415.9,A,3254.716500,N,11713.756206,W,61.9,152.4,220310,,,A*4F 29 | $GPRMC,015418.9,A,3254.672601,N,11713.729487,W,57.9,152.6,220310,,,A*43 30 | $GPRMC,015421.9,A,3254.629098,N,11713.707455,W,56.3,155.8,220310,,,A*40 31 | $GPRMC,015424.9,A,3254.586038,N,11713.684148,W,55.9,155.1,220310,,,A*4A 32 | $GPRMC,015427.9,A,3254.544476,N,11713.659620,W,56.1,153.8,220310,,,A*44 33 | $GPRMC,015430.9,A,3254.503499,N,11713.634808,W,55.7,153.1,220310,,,A*43 34 | $GPRMC,015433.9,A,3254.461969,N,11713.609088,W,55.7,152.8,220310,,,A*41 35 | $GPRMC,015436.9,A,3254.421119,N,11713.583749,W,55.7,152.4,220310,,,A*48 36 | $GPRMC,015439.9,A,3254.379418,N,11713.558845,W,56.1,153.3,220310,,,A*4F 37 | $GPRMC,015442.9,A,3254.337004,N,11713.534251,W,55.7,153.2,220310,,,A*41 38 | $GPRMC,015445.9,A,3254.295386,N,11713.508401,W,55.7,151.9,220310,,,A*43 39 | $GPRMC,015448.9,A,3254.254970,N,11713.480281,W,56.8,149.3,220310,,,A*40 40 | $GPRMC,015451.9,A,3254.216240,N,11713.448350,W,57.2,143.3,220310,,,A*4E 41 | $GPRMC,015454.9,A,3254.179906,N,11713.410902,W,58.1,138.0,220310,,,A*4B 42 | $GPRMC,015457.9,A,3254.143882,N,11713.371081,W,58.7,136.9,220310,,,A*4F 43 | $GPRMC,015500.9,A,3254.109081,N,11713.330098,W,58.9,137.0,220310,,,A*42 44 | $GPRMC,015503.9,A,3254.073244,N,11713.291240,W,59.3,137.2,220310,,,A*42 45 | $GPRMC,015506.9,A,3254.036595,N,11713.249791,W,59.2,136.7,220310,,,A*44 46 | $GPRMC,015509.9,A,3254.000987,N,11713.208014,W,59.8,136.2,220310,,,A*41 47 | $GPRMC,015512.9,A,3253.962343,N,11713.169254,W,59.8,138.9,220310,,,A*44 48 | 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$GPRMC,015554.9,A,3253.523751,N,11712.554418,W,57.9,114.6,220310,,,A*43 62 | $GPRMC,015557.9,A,3253.501873,N,11712.501999,W,57.9,117.7,220310,,,A*49 63 | $GPRMC,015600.9,A,3253.476378,N,11712.454881,W,57.7,122.8,220310,,,A*47 64 | $GPRMC,015603.9,A,3253.447320,N,11712.408365,W,57.6,127.5,220310,,,A*4A 65 | $GPRMC,015606.9,A,3253.415793,N,11712.365566,W,57.1,132.2,220310,,,A*49 66 | $GPRMC,015609.9,A,3253.382766,N,11712.326346,W,56.8,136.2,220310,,,A*4A 67 | $GPRMC,015612.9,A,3253.345774,N,11712.290097,W,56.7,142.0,220310,,,A*45 68 | $GPRMC,015615.9,A,3253.306971,N,11712.258464,W,56.7,146.2,220310,,,A*44 69 | $GPRMC,015618.9,A,3253.266540,N,11712.230118,W,56.7,151.0,220310,,,A*44 70 | $GPRMC,015621.9,A,3253.223096,N,11712.206191,W,57.4,155.8,220310,,,A*4B 71 | $GPRMC,015624.9,A,3253.176498,N,11712.186055,W,58.7,160.5,220310,,,A*42 72 | $GPRMC,015627.9,A,3253.128224,N,11712.171940,W,58.9,164.8,220310,,,A*49 73 | $GPRMC,015630.9,A,3253.079457,N,11712.157227,W,58.9,165.8,220310,,,A*47 74 | 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$GPRMC,183403.62,A,3318.3066,N,11720.5759,W,28.943,211.380,041110,0,W,A*1B 101 | $GPRMC,183406.62,A,3318.2887,N,11720.5879,W,22.255,210.153,041110,0,W,A*1E 102 | $GPRMC,183409.62,A,3318.2732,N,11720.5977,W,19.294,207.191,041110,0,W,A*12 103 | $GPRMC,183412.62,A,3318.2591,N,11720.6062,W,21.181,212.478,041110,0,W,A*17 104 | $GPRMC,183415.62,A,3318.2445,N,11720.6202,W,23.891,213.601,041110,0,W,A*1B 105 | $GPRMC,183418.62,A,3318.2269,N,11720.6336,W,23.961,213.091,041110,0,W,A*19 106 | $GPRMC,183421.62,A,3318.2089,N,11720.6459,W,22.811,213.159,041110,0,W,A*13 107 | $GPRMC,183424.62,A,3318.1927,N,11720.6568,W,18.109,213.814,041110,0,W,A*12 108 | $GPRMC,183427.62,A,3318.1849,N,11720.6627,W,8.204,211.027,041110,0,W,A*25 109 | $GPRMC,183430.62,A,3318.1777,N,11720.6669,W,7.294,214.459,041110,0,W,A*25 110 | $GPRMC,183554.62,A,3318.1742,N,11720.6700,W,8.656,198.269,041110,0,W,A*29 111 | $GPRMC,183557.62,A,3318.1651,N,11720.6669,W,14.648,144.802,041110,0,W,A*13 112 | -------------------------------------------------------------------------------- /Docker/pull_pubsub_docker/config_geo_pubsub_pull.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # Copyright 2015 Google Inc. All Rights Reserved. 3 | # 4 | # Licensed under the Apache License, Version 2.0 (the "License"); 5 | # you may not use this file except in compliance with the License. 6 | # You may obtain a copy of the License at 7 | # 8 | # http://www.apache.org/licenses/LICENSE-2.0 9 | # 10 | # Unless required by applicable law or agreed to in writing, software 11 | # distributed under the License is distributed on an "AS IS" BASIS, 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | # See the License for the specific language governing permissions and 14 | # limitations under the License. 15 | """ 16 | This script reverse geocodes mesages pulled from a pub/sub queue (converts latitude & longitude to a street address), 17 | calculates the elevation above sea level, 18 | and converts from UTC time to local time by querying which timezone the locations fall in 19 | It then writes the data plus this added geographic context to the BigQuery table 20 | """ 21 | import sys 22 | import base64 23 | from apiclient import discovery 24 | from dateutil.parser import parse 25 | import httplib2 26 | import yaml 27 | import googlemaps 28 | import time 29 | import datetime 30 | import uuid 31 | import json 32 | import signal 33 | import sys 34 | # from oauth2client.client import GoogleCredentials 35 | from oauth2client import client as oauth2client 36 | 37 | with open("/tmp/creds/setup.yaml", 'r') as varfile: 38 | cfg = yaml.load(varfile) 39 | 40 | # default; set to your traffic topic. Can override on command line. 41 | TRAFFIC_TOPIC = cfg["env"]["PUBSUB_TOPIC"] 42 | PUBSUB_SCOPES = ['https://www.googleapis.com/auth/pubsub'] 43 | running_proc = True 44 | 45 | def signal_term_handler(signal, frame): 46 | global running_proc 47 | print "Exiting application" 48 | running_proc = False 49 | sys.exit(0) 50 | 51 | 52 | 53 | def create_pubsub_client(http=None): 54 | credentials = oauth2client.GoogleCredentials.get_application_default() 55 | if credentials.create_scoped_required(): 56 | credentials = credentials.create_scoped(PUBSUB_SCOPES) 57 | if not http: 58 | http = httplib2.Http() 59 | credentials.authorize(http) 60 | return discovery.build('pubsub', 'v1', http=http) 61 | 62 | def create_bigquery_client(): 63 | credentials = oauth2client.GoogleCredentials.get_application_default() 64 | # Construct the service object for interacting with the BigQuery API. 65 | return discovery.build('bigquery', 'v2', credentials=credentials) 66 | 67 | def stream_row_to_bigquery(bigquery, row, 68 | num_retries=5): 69 | # Generate a unique row id so retries 70 | # don't accidentally duplicate insert 71 | insert_all_data = { 72 | 'insertId': str(uuid.uuid4()), 73 | 'rows': [{'json': row}] 74 | } 75 | return bigquery.tabledata().insertAll( 76 | projectId=cfg["env"]["PROJECT_ID"], 77 | datasetId=cfg["env"]["DATASET_ID"], 78 | tableId=cfg["env"]["TABLE_ID"], 79 | body=insert_all_data).execute(num_retries=num_retries) 80 | 81 | #Use Maps API Geocoding service to convert lat,lng into a human readable address 82 | def reverse_geocode(gmaps, latitude, longitude): 83 | return gmaps.reverse_geocode((latitude, longitude)) 84 | 85 | #extract a named property e.g. formatted_address from the Geocoding API response. 86 | def extract_address(list, property): 87 | address = "" 88 | if(list[0] is not None): 89 | address = list[0][property] 90 | return address 91 | 92 | #extract a structured address component e.g. postal_code from a Geocoding API response 93 | def extract_component(list, property): 94 | val = "" 95 | for address in list: 96 | for component in address["address_components"]: 97 | if component["types"][0] == property: 98 | val = component["long_name"] 99 | break 100 | return val 101 | 102 | #calculate elevation using Google Maps Elevation API 103 | def get_elevation(gmaps, latitude, longitude): 104 | elevation = gmaps.elevation((latitude, longitude)) 105 | elevation_metres = None 106 | if(len(elevation)>0): 107 | elevation_metres = elevation[0]["elevation"] 108 | return elevation_metres 109 | 110 | #get the timezone including any DST offset for the time the GPS position was recorded 111 | def get_timezone(gmaps, latitude, longitude, posix_time): 112 | return gmaps.timezone((latitude, longitude), timestamp=posix_time) 113 | 114 | def get_local_time(timezone_response): 115 | # get offset from UTC 116 | rawOffset = float(timezone_response["rawOffset"]) 117 | # get any daylight savings offset 118 | dstOffset = float(timezone_response["dstOffset"]) 119 | 120 | # combine for total offset from UTC 121 | return rawOffset + dstOffset 122 | 123 | def main(argv): 124 | 125 | client = create_pubsub_client() 126 | 127 | # You can fetch multiple messages with a single API call. 128 | batch_size = 100 129 | 130 | # options to limit number of geocodes e.g to stay under daily quota. 131 | geocode_counter = 0 132 | geocode_limit = 10 133 | 134 | # option to wait for some time until daily quotas are reset 135 | wait_timeout = 2 136 | 137 | #create a Google Maps API client 138 | gmaps = googlemaps.Client(key=cfg["env"]["MAPS_API_KEY"]) 139 | subscription = cfg["env"]["SUBSCRIPTION"] 140 | 141 | # Create a POST body for the Pub/Sub request 142 | body = { 143 | # Setting ReturnImmediately to false instructs the API to wait 144 | # to collect the message up to the size of MaxEvents, or until 145 | # the timeout. 146 | 'returnImmediately': False, 147 | 'maxMessages': batch_size, 148 | } 149 | 150 | signal.signal(signal.SIGINT, signal_term_handler) 151 | while running_proc: 152 | #pull messages from Pubsub 153 | resp = client.projects().subscriptions().pull( 154 | subscription=subscription, body=body).execute() 155 | 156 | received_messages = resp.get('receivedMessages') 157 | 158 | 159 | if received_messages is not None: 160 | ack_ids = [] 161 | bq = create_bigquery_client() 162 | for received_message in received_messages: 163 | pubsub_message = received_message.get('message') 164 | if pubsub_message: 165 | # Process messages 166 | msg = base64.b64decode(str(pubsub_message.get('data'))) 167 | 168 | #we stored time as a message attribute 169 | ts = pubsub_message["attributes"]["timestamp"] 170 | 171 | # create a datetime object so we can get a POSIX timestamp for TimeZone API 172 | utc_time = datetime.datetime.strptime(ts, "%Y-%m-%d %H:%M:%S") 173 | posix_time = time.mktime(utc_time.timetuple()) 174 | 175 | #our messages are in a comma-separated string. 176 | #Split into a list 177 | data_list = msg.split(",") 178 | 179 | #extract latitude,longitude for input into Google Maps API calls 180 | latitude = float(data_list[1]) 181 | longitude = float(data_list[2]) 182 | 183 | #Contruct a row object that matches the BigQuery table schema 184 | row = { 'VehicleID': data_list[0], 'UTCTime': None, 'Offset': 0, 'Address':"", 'Zipcode':"", 'Speed':data_list[3], 'Bearing':data_list[4], 'Elevation':None, 'Latitude':latitude, 'Longitude': longitude } 185 | 186 | #Maps API Geocoding has a daily limit - this lets us limit API calls during development. 187 | if geocode_counter <= geocode_limit: 188 | 189 | #Reverse Geocode the latitude, longitude to get street address, city, region etc 190 | address_list = reverse_geocode(gmaps, latitude, longitude) 191 | 192 | #Save the formatted address for insert into BigQuery 193 | if(len(address_list) > 0): 194 | row["Address"] = extract_address(address_list, "formatted_address") 195 | #extract the zip or postal code if one is returned 196 | row["Zipcode"] = extract_component(address_list, "postal_code") 197 | 198 | #increment counter - in case you want to limit daily geocodes. 199 | geocode_counter += 1 200 | 201 | # get elevation 202 | row["Elevation"] = get_elevation(gmaps, latitude, longitude) 203 | 204 | # get the timezone, pass in original timestamp in case DST applied at that time 205 | timezone = get_timezone(gmaps, latitude, longitude, posix_time) 206 | 207 | #Store DST offset so can display/query UTC time as local time 208 | if(timezone["rawOffset"] is not None): 209 | row["Offset"] = get_local_time(timezone) 210 | 211 | row["UTCTime"] = ts 212 | 213 | # save a row to BigQuery 214 | result = stream_row_to_bigquery(bq, row) 215 | 216 | #Addresses can contain non-ascii characters, for simplicity we'll replace non ascii characters 217 | #This is just for command line output 218 | addr = row['Address'].encode('ascii', 'replace') 219 | msg = "Appended one row to BigQuery." 220 | print msg 221 | msg = "Address: {0}".format(addr) 222 | print msg 223 | msg = "Elevation: {0} metres".format(row["Elevation"]) 224 | print msg 225 | msg = "Timezone: {0}".format(timezone["timeZoneId"]) 226 | print msg 227 | print " " 228 | else: 229 | time.sleep(wait_timeout) 230 | geocode_counter = 0 231 | print "counter reset" 232 | 233 | # Get the message's ack ID 234 | ack_ids.append(received_message.get('ackId')) 235 | 236 | # Create a POST body for the acknowledge request 237 | ack_body = {'ackIds': ack_ids} 238 | 239 | # Acknowledge the message. 240 | client.projects().subscriptions().acknowledge( 241 | subscription=subscription, body=ack_body).execute() 242 | 243 | 244 | 245 | if __name__ == '__main__': 246 | main(sys.argv) 247 | -------------------------------------------------------------------------------- /config_geo_pubsub_pull.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # Copyright 2015 Google Inc. All Rights Reserved. 3 | # 4 | # Licensed under the Apache License, Version 2.0 (the "License"); 5 | # you may not use this file except in compliance with the License. 6 | # You may obtain a copy of the License at 7 | # 8 | # http://www.apache.org/licenses/LICENSE-2.0 9 | # 10 | # Unless required by applicable law or agreed to in writing, software 11 | # distributed under the License is distributed on an "AS IS" BASIS, 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | # See the License for the specific language governing permissions and 14 | # limitations under the License. 15 | """ 16 | This script reverse geocodes mesages pulled from a Google Cloud Pub/Sub queue (converts latitude & longitude to a street address), 17 | calculates the elevation above sea level, 18 | and converts from UTC time to local time by querying which timezone the locations fall in. 19 | It then writes the data plus this added geographic context to the BigQuery table. 20 | """ 21 | import sys 22 | import base64 23 | from apiclient import discovery 24 | from dateutil.parser import parse 25 | import httplib2 26 | import yaml 27 | import googlemaps 28 | import time 29 | import datetime 30 | import uuid 31 | import json 32 | import signal 33 | import sys 34 | # from oauth2client.client import GoogleCredentials 35 | from oauth2client import client as oauth2client 36 | 37 | with open("resources/setup.yaml", 'r') as varfile: 38 | cfg = yaml.load(varfile) 39 | 40 | # Uses an environment variable by default. Change this value to the name of your traffic topic. 41 | # Can override on the command line. 42 | TRAFFIC_TOPIC = cfg["env"]["PUBSUB_TOPIC"] 43 | PUBSUB_SCOPES = ['https://www.googleapis.com/auth/pubsub'] 44 | running_proc = True 45 | 46 | def signal_term_handler(signal, frame): 47 | global running_proc 48 | print "Exiting application" 49 | running_proc = False 50 | sys.exit(0) 51 | 52 | 53 | 54 | def create_pubsub_client(http=None): 55 | credentials = oauth2client.GoogleCredentials.get_application_default() 56 | if credentials.create_scoped_required(): 57 | credentials = credentials.create_scoped(PUBSUB_SCOPES) 58 | if not http: 59 | http = httplib2.Http() 60 | credentials.authorize(http) 61 | return discovery.build('pubsub', 'v1', http=http) 62 | 63 | def create_bigquery_client(): 64 | credentials = oauth2client.GoogleCredentials.get_application_default() 65 | # Construct the service object for interacting with the BigQuery API. 66 | return discovery.build('bigquery', 'v2', credentials=credentials) 67 | 68 | def stream_row_to_bigquery(bigquery, row, 69 | num_retries=5): 70 | # Generate a unique row ID so retries 71 | # don't accidentally insert duplicates. 72 | insert_all_data = { 73 | 'insertId': str(uuid.uuid4()), 74 | 'rows': [{'json': row}] 75 | } 76 | return bigquery.tabledata().insertAll( 77 | projectId=cfg["env"]["PROJECT_ID"], 78 | datasetId=cfg["env"]["DATASET_ID"], 79 | tableId=cfg["env"]["TABLE_ID"], 80 | body=insert_all_data).execute(num_retries=num_retries) 81 | 82 | # Use Maps API Geocoding service to convert lat,lng into a human readable address. 83 | def reverse_geocode(gmaps, latitude, longitude): 84 | return gmaps.reverse_geocode((latitude, longitude)) 85 | 86 | # Extract a named property, e.g. formatted_address, from the Geocoding API response. 87 | def extract_address(list, property): 88 | address = "" 89 | if(list[0] is not None): 90 | address = list[0][property] 91 | return address 92 | 93 | # Extract a structured address component, e.g. postal_code, from a Geocoding API response. 94 | def extract_component(list, property): 95 | val = "" 96 | for address in list: 97 | for component in address["address_components"]: 98 | if component["types"][0] == property: 99 | val = component["long_name"] 100 | break 101 | return val 102 | 103 | # Calculate elevation using Google Maps Elevation API. 104 | def get_elevation(gmaps, latitude, longitude): 105 | elevation = gmaps.elevation((latitude, longitude)) 106 | elevation_metres = None 107 | if(len(elevation)>0): 108 | elevation_metres = elevation[0]["elevation"] 109 | return elevation_metres 110 | 111 | # Get the timezone including any DST offset for the time the GPS position was recorded. 112 | def get_timezone(gmaps, latitude, longitude, posix_time): 113 | return gmaps.timezone((latitude, longitude), timestamp=posix_time) 114 | 115 | def get_local_time(timezone_response): 116 | # get offset from UTC 117 | rawOffset = float(timezone_response["rawOffset"]) 118 | # get any daylight savings offset 119 | dstOffset = float(timezone_response["dstOffset"]) 120 | 121 | # combine for total offset from UTC 122 | return rawOffset + dstOffset 123 | 124 | # [START maininit] 125 | def main(argv): 126 | 127 | client = create_pubsub_client() 128 | 129 | # You can fetch multiple messages with a single API call. 130 | batch_size = 100 131 | 132 | # Options to limit number of geocodes e.g to stay under daily quota. 133 | geocode_counter = 0 134 | geocode_limit = 10 135 | 136 | # Option to wait for some time until daily quotas are reset. 137 | wait_timeout = 2 138 | # [END maininit] 139 | # [START createmaps] 140 | # Create a Google Maps API client. 141 | gmaps = googlemaps.Client(key=cfg["env"]["MAPS_API_KEY"]) 142 | subscription = cfg["env"]["SUBSCRIPTION"] 143 | 144 | # Create a POST body for the Cloud Pub/Sub request. 145 | body = { 146 | # Setting ReturnImmediately to False instructs the API to wait 147 | # to collect the message up to the size of MaxEvents, or until 148 | # the timeout. 149 | 'returnImmediately': False, 150 | 'maxMessages': batch_size, 151 | } 152 | # [END createmaps] 153 | signal.signal(signal.SIGINT, signal_term_handler) 154 | #[START pullmsgs] 155 | while running_proc: 156 | # Pull messages from Cloud Pub/Sub 157 | resp = client.projects().subscriptions().pull( 158 | subscription=subscription, body=body).execute() 159 | 160 | received_messages = resp.get('receivedMessages') 161 | # [END pullmsgs] 162 | 163 | 164 | if received_messages is not None: 165 | ack_ids = [] 166 | bq = create_bigquery_client() 167 | for received_message in received_messages: 168 | pubsub_message = received_message.get('message') 169 | if pubsub_message: 170 | # process messages 171 | msg = base64.b64decode(str(pubsub_message.get('data'))) 172 | 173 | # We stored time as a message attribute. 174 | ts = pubsub_message["attributes"]["timestamp"] 175 | 176 | # Create a datetime object so we can get a POSIX timestamp for TimeZone API. 177 | utc_time = datetime.datetime.strptime(ts, "%Y-%m-%d %H:%M:%S") 178 | posix_time = time.mktime(utc_time.timetuple()) 179 | 180 | # Our messages are in a comma-separated string. 181 | #Split into a list 182 | data_list = msg.split(",") 183 | #[START extract] 184 | # Extract latitude,longitude for input into Google Maps API calls. 185 | latitude = float(data_list[1]) 186 | longitude = float(data_list[2]) 187 | 188 | # Construct a row object that matches the BigQuery table schema. 189 | row = { 'VehicleID': data_list[0], 'UTCTime': None, 'Offset': 0, 'Address':"", 'Zipcode':"", 'Speed':data_list[3], 'Bearing':data_list[4], 'Elevation':None, 'Latitude':latitude, 'Longitude': longitude } 190 | 191 | # Maps API Geocoding has a daily limit - this lets us limit API calls during development. 192 | if geocode_counter <= geocode_limit: 193 | 194 | # Reverse geocode the latitude, longitude to get street address, city, region, etc. 195 | address_list = reverse_geocode(gmaps, latitude, longitude) 196 | # [END extract] 197 | #Save the formatted address for insert into BigQuery. 198 | if(len(address_list) > 0): 199 | row["Address"] = extract_address(address_list, "formatted_address") 200 | #extract the zip or postal code if one is returned 201 | row["Zipcode"] = extract_component(address_list, "postal_code") 202 | 203 | # Increment counter - in case you want to limit daily geocodes. 204 | geocode_counter += 1 205 | 206 | # get elevation 207 | row["Elevation"] = get_elevation(gmaps, latitude, longitude) 208 | 209 | # Get the timezone, pass in original timestamp in case DST applied at that time. 210 | timezone = get_timezone(gmaps, latitude, longitude, posix_time) 211 | 212 | # Store DST offset so can display/query UTC time as local time. 213 | if(timezone["rawOffset"] is not None): 214 | row["Offset"] = get_local_time(timezone) 215 | 216 | row["UTCTime"] = ts 217 | # [START saverow] 218 | # save a row to BigQuery 219 | result = stream_row_to_bigquery(bq, row) 220 | # [END saverow] 221 | 222 | # Addresses can contain non-ascii characters, for simplicity we'll replace non ascii characters. 223 | # This is just for command line output. 224 | addr = row['Address'].encode('ascii', 'replace') 225 | msg = "Appended one row to BigQuery." 226 | print msg 227 | msg = "Address: {0}".format(addr) 228 | print msg 229 | msg = "Elevation: {0} metres".format(row["Elevation"]) 230 | print msg 231 | msg = "Timezone: {0}".format(timezone["timeZoneId"]) 232 | print msg 233 | print " " 234 | else: 235 | time.sleep(wait_timeout) 236 | geocode_counter = 0 237 | print "counter reset" 238 | 239 | # Get the message's ack ID. 240 | ack_ids.append(received_message.get('ackId')) 241 | 242 | # Create a POST body for the acknowledge request. 243 | ack_body = {'ackIds': ack_ids} 244 | 245 | # Acknowledge the message. 246 | client.projects().subscriptions().acknowledge( 247 | subscription=subscription, body=ack_body).execute() 248 | 249 | 250 | 251 | if __name__ == '__main__': 252 | main(sys.argv) 253 | -------------------------------------------------------------------------------- /resources/data/Mobile-GPS-Trip100.csv: -------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,190045.9,A,3343.365608,N,11722.015312,W,67.7,314.8,280510,,,A*40 3 | $GPRMC,190048.9,A,3343.402875,N,11722.066660,W,67.3,311.8,280510,,,A*4A 4 | $GPRMC,190051.9,A,3343.439079,N,11722.118501,W,66.9,309.4,280510,,,A*4C 5 | $GPRMC,190054.9,A,3343.474122,N,11722.167744,W,65.5,307.6,280510,,,A*47 6 | $GPRMC,190057.9,A,3343.503726,N,11722.218558,W,64.4,304.4,280510,,,A*42 7 | $GPRMC,190100.9,A,3343.533659,N,11722.274867,W,66.1,302.1,280510,,,A*44 8 | $GPRMC,190103.9,A,3343.559059,N,11722.330174,W,64.3,299.3,280510,,,A*46 9 | $GPRMC,190106.9,A,3343.583456,N,11722.388422,W,64.5,296.2,280510,,,A*42 10 | $GPRMC,190109.2,A,3343.599184,N,11722.434435,W,64.9,293.9,280510,,,A*43 11 | $GPRMC,190112.9,A,3343.624403,N,11722.510083,W,66.0,291.6,280510,,,A*45 12 | $GPRMC,190115.9,A,3343.639683,N,11722.574286,W,65.5,287.3,280510,,,A*45 13 | $GPRMC,190118.9,A,3343.652945,N,11722.636594,W,64.4,284.4,280510,,,A*45 14 | $GPRMC,190121.9,A,3343.665131,N,11722.700303,W,65.9,282.9,280510,,,A*4B 15 | $GPRMC,190124.9,A,3343.678070,N,11722.765158,W,66.7,283.4,280510,,,A*48 16 | $GPRMC,190127.9,A,3343.691192,N,11722.828668,W,65.1,283.5,280510,,,A*47 17 | $GPRMC,190130.9,A,3343.704651,N,11722.894593,W,67.1,284.2,280510,,,A*46 18 | $GPRMC,190133.9,A,3343.716767,N,11722.959053,W,66.4,283.2,280510,,,A*48 19 | $GPRMC,190136.9,A,3343.730309,N,11723.023990,W,66.4,283.5,280510,,,A*41 20 | $GPRMC,190139.9,A,3343.744011,N,11723.087053,W,66.5,283.8,280510,,,A*43 21 | $GPRMC,190142.9,A,3343.756666,N,11723.152785,W,67.3,283.3,280510,,,A*43 22 | $GPRMC,190145.9,A,3343.769918,N,11723.217415,W,66.3,283.0,280510,,,A*44 23 | $GPRMC,190148.9,A,3343.780337,N,11723.283713,W,67.5,282.0,280510,,,A*47 24 | $GPRMC,190151.9,A,3343.793132,N,11723.347459,W,66.3,282.4,280510,,,A*4D 25 | $GPRMC,190154.9,A,3343.804764,N,11723.410927,W,66.5,278.9,280510,,,A*43 26 | $GPRMC,190157.9,A,3343.811479,N,11723.476126,W,65.9,275.0,280510,,,A*49 27 | $GPRMC,190200.9,A,3343.812150,N,11723.540012,W,64.4,270.5,280510,,,A*4B 28 | $GPRMC,190203.9,A,3343.811227,N,11723.603978,W,64.2,269.0,280510,,,A*42 29 | $GPRMC,190206.9,A,3343.810356,N,11723.670711,W,65.3,270.0,280510,,,A*4C 30 | $GPRMC,190209.9,A,3343.813060,N,11723.735531,W,64.7,273.8,280510,,,A*48 31 | $GPRMC,190212.9,A,3343.817248,N,11723.799969,W,64.5,276.5,280510,,,A*43 32 | $GPRMC,190215.9,A,3343.829823,N,11723.864408,W,64.5,283.0,280510,,,A*46 33 | $GPRMC,190218.9,A,3343.845384,N,11723.927483,W,65.6,286.1,280510,,,A*44 34 | $GPRMC,190221.9,A,3343.863488,N,11723.992086,W,68.3,290.7,280510,,,A*47 35 | $GPRMC,190224.9,A,3343.892853,N,11724.057104,W,70.8,297.7,280510,,,A*4F 36 | $GPRMC,190227.9,A,3343.923708,N,11724.115388,W,70.2,300.6,280510,,,A*43 37 | $GPRMC,190230.9,A,3343.950433,N,11724.174459,W,68.9,297.8,280510,,,A*45 38 | $GPRMC,190233.9,A,3343.972331,N,11724.235143,W,68.3,292.6,280510,,,A*4A 39 | $GPRMC,190236.9,A,3343.988613,N,11724.300184,W,68.5,287.7,280510,,,A*40 40 | $GPRMC,190239.9,A,3344.001703,N,11724.364800,W,67.8,282.7,280510,,,A*40 41 | $GPRMC,190242.9,A,3344.011842,N,11724.433179,W,66.4,278.6,280510,,,A*4C 42 | $GPRMC,190245.9,A,3344.014662,N,11724.498311,W,65.2,272.9,280510,,,A*4F 43 | $GPRMC,190248.9,A,3344.014320,N,11724.560954,W,63.9,269.3,280510,,,A*41 44 | $GPRMC,190251.9,A,3344.012624,N,11724.626091,W,63.4,268.0,280510,,,A*40 45 | $GPRMC,190254.9,A,3344.012316,N,11724.689055,W,61.8,268.7,280510,,,A*45 46 | $GPRMC,190257.9,A,3344.012228,N,11724.746562,W,57.2,269.5,280510,,,A*45 47 | $GPRMC,190300.9,A,3344.009497,N,11724.803647,W,59.0,268.3,280510,,,A*4F 48 | $GPRMC,190303.9,A,3344.006987,N,11724.866272,W,62.0,268.3,280510,,,A*46 49 | $GPRMC,190306.9,A,3344.007905,N,11724.929225,W,63.6,271.4,280510,,,A*48 50 | $GPRMC,190309.9,A,3344.013212,N,11724.989723,W,63.3,277.4,280510,,,A*45 51 | $GPRMC,190312.9,A,3344.023506,N,11725.054065,W,64.1,282.3,280510,,,A*4B 52 | $GPRMC,190315.9,A,3344.038529,N,11725.117806,W,64.9,286.7,280510,,,A*48 53 | $GPRMC,190318.9,A,3344.059985,N,11725.178815,W,64.6,292.6,280510,,,A*48 54 | $GPRMC,190321.9,A,3344.083364,N,11725.234030,W,63.0,296.8,280510,,,A*4F 55 | $GPRMC,190324.9,A,3344.114197,N,11725.291797,W,65.4,301.7,280510,,,A*4C 56 | $GPRMC,190327.9,A,3344.141255,N,11725.344002,W,62.8,304.8,280510,,,A*41 57 | $GPRMC,190330.9,A,3344.171962,N,11725.394631,W,63.0,306.7,280510,,,A*44 58 | $GPRMC,190333.9,A,3344.205767,N,11725.446188,W,64.6,307.7,280510,,,A*41 59 | $GPRMC,190336.9,A,3344.237305,N,11725.497195,W,64.5,307.1,280510,,,A*40 60 | $GPRMC,190339.9,A,3344.270761,N,11725.550114,W,65.9,307.5,280510,,,A*40 61 | $GPRMC,190342.9,A,3344.307555,N,11725.604928,W,69.1,308.1,280510,,,A*42 62 | $GPRMC,190345.9,A,3344.347576,N,11725.659625,W,72.3,310.4,280510,,,A*4E 63 | $GPRMC,190348.9,A,3344.376609,N,11725.711244,W,66.7,307.0,280510,,,A*47 64 | $GPRMC,190351.9,A,3344.409985,N,11725.767971,W,68.5,304.4,280510,,,A*4C 65 | $GPRMC,190354.9,A,3344.439029,N,11725.824300,W,66.4,301.0,280510,,,A*4F 66 | $GPRMC,190357.9,A,3344.465933,N,11725.883418,W,66.5,297.2,280510,,,A*49 67 | $GPRMC,190400.9,A,3344.484306,N,11725.941726,W,64.0,291.7,280510,,,A*4A 68 | $GPRMC,190403.9,A,3344.500488,N,11726.003068,W,64.6,288.7,280510,,,A*4A 69 | $GPRMC,190406.2,A,3344.512913,N,11726.055320,W,67.6,285.6,280510,,,A*4B 70 | $GPRMC,190409.9,A,3344.531198,N,11726.133573,W,66.3,283.5,280510,,,A*45 71 | $GPRMC,190412.9,A,3344.541062,N,11726.196095,W,65.4,280.9,280510,,,A*45 72 | $GPRMC,190415.9,A,3344.550297,N,11726.259788,W,64.1,281.2,280510,,,A*4F 73 | $GPRMC,190418.9,A,3344.561079,N,11726.321816,W,63.1,282.8,280510,,,A*4A 74 | $GPRMC,190422.2,A,3344.577063,N,11726.391557,W,64.5,285.5,280510,,,A*4E 75 | $GPRMC,190425.9,A,3344.599432,N,11726.462605,W,62.1,292.1,280510,,,A*4D 76 | $GPRMC,190428.9,A,3344.623319,N,11726.517668,W,63.2,296.6,280510,,,A*45 77 | $GPRMC,190431.9,A,3344.651955,N,11726.572779,W,63.7,300.1,280510,,,A*44 78 | $GPRMC,190434.9,A,3344.675702,N,11726.631498,W,64.9,296.9,280510,,,A*4C 79 | $GPRMC,190437.9,A,3344.699100,N,11726.687205,W,64.0,297.5,280510,,,A*42 80 | $GPRMC,190440.9,A,3344.725472,N,11726.744078,W,66.1,298.8,280510,,,A*43 81 | $GPRMC,190443.9,A,3344.750733,N,11726.802488,W,64.6,297.7,280510,,,A*47 82 | $GPRMC,190446.9,A,3344.778280,N,11726.862066,W,67.4,298.3,280510,,,A*4D 83 | $GPRMC,190449.9,A,3344.806644,N,11726.923996,W,70.1,298.4,280510,,,A*4E 84 | $GPRMC,190452.9,A,3344.836687,N,11726.986859,W,70.9,299.6,280510,,,A*4E 85 | $GPRMC,190455.9,A,3344.865579,N,11727.048368,W,70.1,300.5,280510,,,A*44 86 | $GPRMC,190458.9,A,3344.900256,N,11727.104043,W,69.6,307.5,280510,,,A*4A 87 | $GPRMC,190501.2,A,3344.932364,N,11727.144690,W,71.5,311.7,280510,,,A*4E 88 | $GPRMC,190504.9,A,3344.980519,N,11727.205151,W,68.4,316.1,280510,,,A*41 89 | $GPRMC,190507.9,A,3345.025636,N,11727.248651,W,69.9,322.4,280510,,,A*4B 90 | $GPRMC,190510.9,A,3345.076310,N,11727.287022,W,70.6,327.7,280510,,,A*4A 91 | $GPRMC,190513.9,A,3345.128044,N,11727.321130,W,69.3,329.9,280510,,,A*43 92 | $GPRMC,190516.9,A,3345.174752,N,11727.357011,W,65.0,327.9,280510,,,A*4D 93 | $GPRMC,190519.9,A,3345.216792,N,11727.392927,W,63.6,324.1,280510,,,A*47 94 | $GPRMC,190522.9,A,3345.257351,N,11727.434369,W,64.9,319.5,280510,,,A*48 95 | $GPRMC,190525.9,A,3345.298782,N,11727.479202,W,66.4,315.8,280510,,,A*4D 96 | $GPRMC,190528.9,A,3345.333032,N,11727.528964,W,65.8,309.7,280510,,,A*4F 97 | $GPRMC,190531.9,A,3345.370614,N,11727.581012,W,68.4,308.6,280510,,,A*48 98 | $GPRMC,190534.9,A,3345.408460,N,11727.632233,W,70.3,309.8,280510,,,A*4F 99 | $GPRMC,190537.9,A,3345.447648,N,11727.691623,W,74.4,308.2,280510,,,A*4B 100 | $GPRMC,190540.9,A,3345.483474,N,11727.747260,W,71.9,308.1,280510,,,A*4C 101 | $GPRMC,190543.9,A,3345.519999,N,11727.803733,W,71.2,308.1,280510,,,A*44 102 | $GPRMC,190546.9,A,3345.551709,N,11727.862143,W,70.9,304.4,280510,,,A*4F 103 | $GPRMC,190549.9,A,3345.583658,N,11727.923435,W,71.7,300.6,280510,,,A*43 104 | $GPRMC,190552.9,A,3345.615197,N,11727.988438,W,73.1,297.5,280510,,,A*45 105 | $GPRMC,190555.9,A,3345.639226,N,11728.053550,W,71.9,293.3,280510,,,A*42 106 | $GPRMC,190558.9,A,3345.658519,N,11728.118540,W,70.1,289.3,280510,,,A*4E 107 | $GPRMC,190601.9,A,3345.673730,N,11728.185609,W,71.9,286.9,280510,,,A*47 108 | $GPRMC,190604.2,A,3345.692340,N,11728.236714,W,71.0,295.3,280510,,,A*42 109 | $GPRMC,190607.2,A,3345.719847,N,11728.300389,W,71.1,301.4,280510,,,A*41 110 | $GPRMC,190610.2,A,3345.752305,N,11728.359029,W,71.4,305.1,280510,,,A*44 111 | $GPRMC,190614.2,A,3345.801376,N,11728.431356,W,69.7,311.2,280510,,,A*43 112 | $GPRMC,190617.9,A,3345.852244,N,11728.491665,W,69.6,317.9,280510,,,A*4E 113 | $GPRMC,190620.9,A,3345.900198,N,11728.536584,W,71.3,322.4,280510,,,A*49 114 | $GPRMC,190623.9,A,3345.951179,N,11728.578686,W,72.6,324.4,280510,,,A*4A 115 | $GPRMC,190626.2,A,3345.986543,N,11728.610067,W,72.3,322.8,280510,,,A*48 116 | $GPRMC,190629.9,A,3346.041993,N,11728.663767,W,71.3,320.1,280510,,,A*47 117 | $GPRMC,190632.9,A,3346.084996,N,11728.715379,W,71.8,313.3,280510,,,A*43 118 | $GPRMC,190635.9,A,3346.121348,N,11728.768673,W,70.8,308.3,280510,,,A*4D 119 | $GPRMC,190638.9,A,3346.152428,N,11728.828318,W,71.8,305.3,280510,,,A*4A 120 | $GPRMC,190641.9,A,3346.188403,N,11728.884130,W,70.9,307.2,280510,,,A*47 121 | $GPRMC,190644.9,A,3346.229294,N,11728.938317,W,71.6,312.1,280510,,,A*4A 122 | $GPRMC,190647.9,A,3346.271214,N,11728.990747,W,71.1,315.6,280510,,,A*48 123 | $GPRMC,190650.9,A,3346.316817,N,11729.038282,W,71.4,320.8,280510,,,A*4C 124 | $GPRMC,190653.9,A,3346.369252,N,11729.078402,W,72.5,327.5,280510,,,A*4E 125 | $GPRMC,190656.9,A,3346.422603,N,11729.112880,W,72.5,330.5,280510,,,A*4E 126 | $GPRMC,190659.9,A,3346.472974,N,11729.147639,W,69.5,331.3,280510,,,A*4A 127 | $GPRMC,190702.9,A,3346.526652,N,11729.178904,W,71.2,332.3,280510,,,A*4E 128 | $GPRMC,190705.9,A,3346.577552,N,11729.212578,W,70.0,331.8,280510,,,A*4D 129 | $GPRMC,190708.9,A,3346.628747,N,11729.243797,W,68.5,333.0,280510,,,A*4E 130 | $GPRMC,190711.9,A,3346.678938,N,11729.275887,W,69.3,332.4,280510,,,A*4C 131 | $GPRMC,190714.9,A,3346.729588,N,11729.308756,W,69.2,331.8,280510,,,A*4D 132 | $GPRMC,190717.9,A,3346.780250,N,11729.340259,W,68.2,332.2,280510,,,A*41 133 | $GPRMC,190720.9,A,3346.830072,N,11729.371904,W,69.3,332.7,280510,,,A*47 134 | $GPRMC,190723.9,A,3346.881196,N,11729.404521,W,69.5,332.6,280510,,,A*4C 135 | $GPRMC,190726.9,A,3346.934214,N,11729.434836,W,69.3,333.0,280510,,,A*46 136 | 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-------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,190551.62,A,3317.5540,N,11720.6061,W,15.768,32.437,041110,0,W,A*29 3 | $GPRMC,190554.62,A,3317.5639,N,11720.5979,W,15.915,33.001,041110,0,W,A*26 4 | $GPRMC,190557.62,A,3317.5750,N,11720.5894,W,14.499,34.081,041110,0,W,A*2E 5 | $GPRMC,190600.62,A,3317.5850,N,11720.5823,W,13.738,22.695,041110,0,W,A*27 6 | $GPRMC,190603.62,A,3317.5972,N,11720.5809,W,15.042,352.364,041110,0,W,A*1E 7 | $GPRMC,190606.62,A,3317.6081,N,11720.5897,W,16.313,314.205,041110,0,W,A*1A 8 | $GPRMC,190609.62,A,3317.6166,N,11720.6047,W,18.147,309.247,041110,0,W,A*1C 9 | $GPRMC,190612.62,A,3317.6262,N,11720.6207,W,20.391,311.072,041110,0,W,A*18 10 | 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-------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,202518.61,A,3318.5604,N,11718.6545,W,34.774,12.693,041110,0,W,A*2B 3 | $GPRMC,202521.61,A,3318.5899,N,11718.6461,W,36.634,13.098,041110,0,W,A*27 4 | $GPRMC,202524.61,A,3318.6209,N,11718.6381,W,37.781,12.531,041110,0,W,A*22 5 | $GPRMC,202527.61,A,3318.6514,N,11718.6293,W,38.186,11.756,041110,0,W,A*26 6 | $GPRMC,202530.61,A,3318.6797,N,11718.6216,W,32.275,9.745,041110,0,W,A*1A 7 | $GPRMC,202533.61,A,3318.7031,N,11718.6180,W,22.894,12.421,041110,0,W,A*20 8 | $GPRMC,202536.61,A,3318.7194,N,11718.6155,W,15.395,11.997,041110,0,W,A*2E 9 | $GPRMC,202539.61,A,3318.7284,N,11718.6147,W,6.864,14.534,041110,0,W,A*17 10 | $GPRMC,202545.61,A,3318.7350,N,11718.6137,W,6.932,12.536,041110,0,W,A*15 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$GPRMC,203657.61,A,3314.1527,N,11723.2059,W,45.503,235.303,041110,0,W,A*13 216 | $GPRMC,203700.61,A,3314.1290,N,11723.2406,W,44.698,223.810,041110,0,W,A*1B 217 | $GPRMC,203703.61,A,3314.1005,N,11723.2672,W,42.777,211.109,041110,0,W,A*11 218 | $GPRMC,203706.61,A,3314.0690,N,11723.2853,W,40.773,205.964,041110,0,W,A*12 219 | $GPRMC,203709.61,A,3314.0392,N,11723.3018,W,38.955,206.896,041110,0,W,A*16 220 | $GPRMC,203712.61,A,3314.0117,N,11723.3179,W,32.528,205.478,041110,0,W,A*16 221 | $GPRMC,203715.61,A,3313.9913,N,11723.3296,W,22.361,204.393,041110,0,W,A*18 222 | $GPRMC,203718.61,A,3313.9802,N,11723.3355,W,9.670,203.166,041110,0,W,A*29 223 | $GPRMC,203800.61,A,3313.9678,N,11723.3415,W,19.772,206.681,041110,0,W,A*16 224 | $GPRMC,203803.61,A,3313.9490,N,11723.3527,W,29.755,207.956,041110,0,W,A*13 225 | $GPRMC,203806.61,A,3313.9241,N,11723.3701,W,37.463,212.229,041110,0,W,A*14 226 | $GPRMC,203809.61,A,3313.8955,N,11723.3920,W,42.301,212.914,041110,0,W,A*1D 227 | $GPRMC,203812.61,A,3313.8655,N,11723.4158,W,42.018,215.795,041110,0,W,A*13 228 | $GPRMC,203815.61,A,3313.8366,N,11723.4400,W,40.960,214.957,041110,0,W,A*1C 229 | $GPRMC,203818.61,A,3313.8083,N,11723.4648,W,40.851,215.555,041110,0,W,A*1B 230 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 5 | 6 | This tutorial shows how to use Google Cloud Platform to build an app that 7 | receives telemetric data about geolocation, processes it, and then stores the 8 | processed and transformed data for further analysis. 9 | 10 | The instructions in this readme show you how to run the tutorial by using 11 | Google Cloud Shell with Docker. You can find a version of this tutorial that 12 | uses your own development environment, without Docker, [on the Google Cloud 13 | Platform website](https://cloud.google.com/solutions/reverse-geocoding-geolocation-telemetry-cloud-maps-api). 14 | 15 | Cloud Shell provides a ready runtime environment and can save you several steps 16 | and some time. However, Cloud Shell times out after 60 minutes of inactivity 17 | and can cost you some repeated work, if that happens. For example, anything 18 | copied to the /tmp directory will be lost. 19 | 20 | Docker provides some automation in deployment that can also make the tutorial 21 | easier to run and save you time. However, if you're not familiar with Docker, 22 | or simply want to see every step in action, you might prefer to run through the 23 | full, manual tutorial steps yourself. 24 | 25 | The tutorial: 26 | 27 | * Starts with traffic data stored in CSV files. 28 | * Processes messages in a Google Cloud Pub/Sub queue. 29 | * Reverse geocodes latitude and longitude to convert the coordinates to a street 30 | address. 31 | * Calculates the elevation above sea level. 32 | * Converts from Coordinated Universal Time (UTC) to local time by querying which 33 | timezone each location is in. 34 | * Writes the data, with the added geographic contextual information, to a 35 | BigQuery dataset for your analysis. 36 | * Visualizes the data as heat maps superimposed over a map of the San Diego metro 37 | area. 38 | 39 | # Costs 40 | 41 | This tutorial uses billable components of Google Cloud Platform, including: 42 | 43 | * 1 Compute Engine virtual machine (g1-small) 44 | * Google Cloud Storage Standard (5 GB) 45 | * Google BigQuery (5 GB storage, 5 GB streaming inserts) 46 | * Google Cloud Pub/Sub (< 200k operations) 47 | * Google Maps API 48 | 49 | The cost of running this tutorial will vary depending on run time. Use the [pricing calculator estimate](https://cloud.google.com/products/calculator/#id=11387bdd-be66-4083-b814-01176faa20a0) to see a cost estimate based on your projected usage. New Cloud Platform users 50 | may be eligible for a [free trial](https://cloud.google.com/free-trial). 51 | 52 | The Maps API standard plan offers a free quota and pay-as-you-go billing after 53 | the quota has been exceeded. If you have an existing license for the Maps API 54 | or have a Maps APIs Premium Plan, [see the documentation first](https://developers.google.com/maps/documentation/javascript/get-api-key#premium-auth) for some important notes. You can purchase a Maps APIs Premium Plan for higher 55 | quotas. 56 | 57 | You must have a Maps for Work license for any application that restricts 58 | access, such as behind a firewall or on a corporate intranet. For more details 59 | about Google Maps API pricing and plans, see [the online documentation](https://developers.google.com/maps/pricing-and-plans/). 60 | 61 | # Before you begin 62 | 63 | 1. [Select or create a Cloud Platform Console project](https://console.cloud.google.com/project). 64 | 2. [Enable billing for your project](https://console.cloud.google.com/billing). 65 | 3. Click the following link to enable the required Cloud Platform APIs. If 66 | prompted, be sure to select the project you created in step 1. 67 | 68 | [Enable APIs](https://console.developers.google.com/start/api?target=%22console%22&id=bigquery,pubsub,storage_component,storage_api,geocoding_backend,elevation_backend,timezone_backend,maps_backend) 69 | 70 | 71 | 72 | These APIs include: 73 | 74 | * BigQuery API 75 | * Pubsub API 76 | * Google Cloud Storage 77 | * Google Maps Geocoding API 78 | * Google Maps Elevation API 79 | * Google Maps Time Zone API 80 | * Google Maps Javascript API 81 | 82 | # Creating credentials 83 | 84 | For this tutorial, you'll need the following credentials: 85 | 86 | * A Google Maps API server key. 87 | * A Maps API browser key. 88 | * A credentials file for the service account key. 89 | * An OAuth 2.0 client ID. 90 | 91 | ## Google Maps API credentials 92 | 93 | If you don't already have them, you'll need Google Maps API keys. 94 | 95 | ### Get a server key 96 | 97 | 1. Click the following link to open the Cloud Console in the Credentials page. If you have more than one project, you might be prompted to select a 98 | project. 99 | 100 | [Create credentials](https://console.developers.google.com/apis/credentials?target=%22console%22) 101 | 102 | 2. Click Create credentials > API key > Server key. 103 | 3. Name the key "Maps tutorial server key". 104 | 4. Click Create. 105 | 5. Click Ok to dismiss the dialog box that shows you the new key. You can retrieve your 106 | keys from the Cloud Console anytime. 107 | 6. Stay on the page. 108 | 109 | ### Get a browser key 110 | 111 | The browser key is a requirement for using the Maps Javascript API. Follow 112 | these steps: 113 | 114 | 1. Click Create credentials and then select API key. 115 | 2. Click Browser key. 116 | 3. Name the key "Maps tutorial browser key". 117 | 4. Click Create. 118 | 5. Click Ok to dismiss the dialog box that shows you the new key. 119 | 6. Stay on the page. 120 | 121 | Important: Keep your API keys secure. Publicly exposing your credentials can result in 122 | your account being compromised, which could lead to unexpected charges on your 123 | account. To keep your API keys secure, [follow these best practices](https://support.google.com/cloud/answer/6310037). 124 | 125 | ## Service account credentials 126 | 127 | Create service account credentials and download the JSON file. Follow these 128 | steps: 129 | 130 | 1. Click Create credentials and then select Service account key. 131 | 2. Select New service account. 132 | 3. Name the account "Maps tutorial service account". 133 | 4. The key type is JSON. 134 | 5. Click Create. 135 | 6. The Cloud Console automatically downloads to your computer the JSON file that 136 | contains the service account key. Note the location of this file. 137 | 7. Click Close to dismiss the dialog box that shows you the new key. If you need to, you can 138 | retrieve the key file later. 139 | 140 | ### Upload the JSON file 141 | 142 | You must upload the service account credential file to a Google Cloud Storage 143 | bucket so that you can transfer it to Cloud Shell in an upcoming step. 144 | 145 | 1. In the Cloud Platform Console, [go to the Cloud Storage browser.](https://console.cloud.google.com/storage/browser) 146 | 2. Click Create bucket. 147 | 3. In the Create bucket dialog, specify the following attributes: 148 | 1. A unique bucket name, subject to the [bucket name requirements](https://cloud-dot-devsite.googleplex.com/storage/docs/bucket-naming#requirements). 149 | 2. A [storage class](https://cloud-dot-devsite.googleplex.com/storage/docs/storage-classes). 150 | 3. A location where bucket data will be stored. 151 | 4. Click Create. 152 | 5. In the Cloud Console, click the name of your new bucket. 153 | 6. Click Upload files. 154 | 7. Browse to the JSON file and confirm the upload. 155 | 156 | ## OAuth 2.0 client ID 157 | 158 | Create a client ID that you can use to authenticate end-user requests to 159 | BigQuery. Follow these steps: 160 | 161 | 1. Find the IPv4 address of your computer. For example, in your browser, view a 162 | page such as [http://ip-lookup.net](http://ip-lookup.net). If your computer is on a corporate intranet, you need to get the address from 163 | your operating system. For example, run ifconfing on Linux or ipconfig -all on Windows. 164 | 1. In the Cloud Console, click Create credentials and then select OAuth client ID. 165 | 2. Select Web application. 166 | 3. In the Name field, enter "Maps API client ID". 167 | 4. In the Restrictions section, in Authorized JavaScript origins, add the following two origin URLs. Replace [YOUR\_IP\_ADDRESS] with the IPv4 168 | address of your computer. 169 | 170 | 171 | ``` 172 | http://[YOUR_IP_ADDRESS]:8000 173 | https://[YOUR_IP_ADDRESS]:8000 174 | ``` 175 | Adding these URLs enables an end user to access BigQuery data through 176 | JavaScript running in a browser. You need this authorization for an upcoming 177 | section of the tutorial, when you display a visualization of data on a map in 178 | your web browser. 179 | 180 | 5. Click Save to generate the new client ID. 181 | 182 | # Setting up Cloud Pub/Sub 183 | 184 | Cloud Pub/Sub is the messaging queue that handles moving the data from CSV 185 | files to BigQuery. You'll need to create a topic, which publishes the messages, and a subscription, which receives the published messages. 186 | 187 | ## Create a Cloud Pub/Sub topic 188 | 189 | The topic publishes the messages. Follow these steps to create the topic: 190 | 191 | 1. Browse to the Pub/Sub topic list page in the Cloud Console: 192 | 193 | [Open the Pub/Sub page](https://console.developers.google.com/cloudpubsub/topicList) 194 | 195 | 2. Click Create topic. A dialog box opens. 196 | 3. In the Name field, add "traffic" to the end of the path that is provided for you. The path 197 | is determined by the system. You can provide only a name for the topic. 198 | 4. Click Create. The dialog box closes. 199 | 5. Stay on the page. 200 | 201 | ## Creating a Cloud Pub/Sub subscription 202 | 203 | The subscription receives the published messages. Follow these steps to create 204 | the subscription: 205 | 206 | 1. In the topic list, in the row that contains the traffic topic, click the downward arrow on the right-hand end of the row. 207 | 2. Click New subscription to open the Create a new subscription page. 208 | 3. In the Subscription name field, add "mysubscription" to the end of the path that is provided for you. 209 | 4. Set the Delivery Type to Pull, if it isn't already set by default. 210 | 5. Click Create. 211 | 212 | # Preparing to run the code 213 | 214 | Follow these steps to prepare to run the code. 215 | 216 | 1. Open Cloud Shell. In the Cloud Platform console, in the upper-right corner, 217 | click the Activate Google Cloud Shell icon. 218 | 2. In Cloud Shell, clone this repository. 219 | 3. Change directory to resources: 220 | 221 | cd geo\_bq/resources 222 | 223 | 1. Edit setup.yaml. Use your favorite command-line text editor. 224 | 225 | 1. For PROJECT\_ID, replace your-project-id with your project's ID string. Keep the single quotation marks in this and all 226 | other values that you replace. 227 | 2. For DATASET\_ID, don't change sandiego\_freeways. 228 | 3. For TABLE\_ID, don't change geocoded\_journeys. 229 | 4. For PUBSUB\_TOPIC, replace your-project-id with your project's ID string. 230 | 5. For ROOTDIR, replace the provided path with /tmp/creds/data. 231 | 6. For SUBSCRIPTION, replace your-project-id with your project's ID string. 232 | 7. For MAPS\_API\_KEY, replace Your-server-key with the server key you created. You can see your credentials by clicking the 233 | following link: 234 | 235 | [View credentials](https://console.developers.google.com/apis/credentials?target=%22console%22) 236 | 237 | 8. Save and close the file. 238 | 239 | 1. Run the following command: 240 | 241 | 242 | ``` 243 | bash setup.sh 244 | ``` 245 | The setup.sh script performs the following steps for you: 246 | 247 | * Creates a BigQuery dataset and a table schema to receive the traffic data. 248 | * Creates a directory structure, /tmp/creds/data, that you use to store your service account credentials (the JSON file you 249 | uploaded to your bucket) and the traffic data. 250 | * Copies the data files from your GitHub clone to the data directory. 251 | 252 | 1. Change directory to /tmp/creds: 253 | 254 | cd /tmp/creds 255 | 256 | 1. Copy your credentials file. Run the following command. Replace [YOUR\_BUCKET] 257 | with the name of your Cloud Storage bucket and [YOUR\_CREDENTIALS\_FILE] with 258 | the name of the file: 259 | 260 | gsutil cp gs://[YOUR\_BUCKET]/[YOUR\_CREDENTIALS\_FILE].json . 261 | 262 | # Pushing data to Cloud Pub/Sub 263 | 264 | Next, run the code to push the traffic data to Cloud Pub/Sub. Run the following 265 | command. Replace [YOUR\_CREDENTIALS\_FILE] with the name of the file. 266 | 267 | docker run -e 268 | "GOOGLE\_APPLICATION\_CREDENTIALS=/tmp/creds/[YOUR\_CREDENTIALS\_FILE].json" 269 | --name 270 | map-push -v /tmp/creds:/tmp/creds 271 | gcr.io/cloud-solutions-images/map-pushapp 272 | 273 | After Docker finishes initializing, you should see repeated lines of output 274 | like this one: 275 | 276 | 277 | ``` 278 | Vehicle ID: 1005, location: 33.2354833333, -117.387343333; speed: 44.698 mph, 279 | bearing: 223.810 degrees 280 | ``` 281 | It can take some time to push all the data to Pub/Sub. 282 | 283 | # Loading the data into BigQuery 284 | 285 | BigQuery pulls the data by using the Cloud Pub/Sub subscription. To get it 286 | going, run the following command. Replace [YOUR\_CREDENTIALS\_FILE] with the 287 | name of the file. 288 | 289 | docker run -e 290 | "GOOGLE\_APPLICATION\_CREDENTIALS=/tmp/creds/[YOUR\_CREDENTIALS\_FILE].json" 291 | --name 292 | map-app -v /tmp/creds:/tmp/creds 293 | gcr.io/cloud-solutions-images/map-pullapp 294 | 295 | After Docker finishes initializing, you should see repeated lines of output 296 | like this one: 297 | 298 | 299 | ``` 300 | Appended one row to BigQuery. Address: 11th St, Oceanside, CA 92058, USA 301 | ``` 302 | It can take some to pull all the data from the topic. When it’s done, the 303 | terminal window will stop showing lines of output as it waits for further data. 304 | You can exit the process at any time by pressing Control+C. If Cloud Shell 305 | times out, you can simply click the reconnect link. 306 | 307 | # Analyzing the data 308 | 309 | Now that the you have transcoded and loaded the data into BigQuery, you can use 310 | BigQuery to gain insights. This section of the tutorial shows you how to use 311 | the BigQuery console run a few simple queries against this data. 312 | 313 | 1. Open the [BigQuery Console](https://bigquery.cloud.google.com/queries/). 314 | 2. Select the sandiego\_freeways database. 315 | 1. Click the Compose Query button. 316 | 2. In the New Query text box, enter the following query that produces average speed by zip code: 317 | 318 | 319 | ``` 320 | SELECT AVG(Speed) avg_speed, Zipcode FROM [sandiego_freeways.geocoded_journeys] 321 | WHERE Zipcode <> '' 322 | GROUP BY Zipcode ORDER BY avg_speed DESC 323 | ``` 324 | # Visualizing the data 325 | 326 | You can use Google Maps to visualize the data you stored in BigQuery. This 327 | tutorial shows you how to superimpose a heat map visualization onto a map of 328 | the region. The heat map shows the volume of traffic activity captured in the 329 | data in BigQuery. 330 | 331 | To keep the tutorial straightforward, the provided example uses OAuth 2.0 to 332 | authenticate the user for the BigQuery service. You could choose another 333 | approach that might be better-suited for your scenario. For example, you could 334 | export query results from BigQuery and create a static map layer that doesn’t 335 | require the end user to authenticate against BigQuery, or you could set up 336 | authentication by using a service account and a proxy server. 337 | 338 | To show the data visualization, follow these steps. 339 | 340 | ## Modify bqapi.html 341 | 342 | For these modifications, you need to use keys and credentials you created 343 | earlier. You can see these values in the Cloud Console on the [Credentials](https://console.developers.google.com/apis/credentials) page. 344 | 345 | 1. Make a copy of the file named bqapi.html. You can find the file in the following directory where you installed the 346 | source code: 347 | 348 | 349 | 350 | 351 | ``` 352 | geo_bq/web/ 353 | ``` 354 | 2. Open the file in a text editor. 355 | 3. In the following script element, in the src attribute, replace Your-Maps-API-Key with your Google Maps API browser key: 356 | 357 | 358 | ``` 359 | <script src="https://maps.googleapis.com/maps/api/js?libraries=visualization,drawing&key=Your-Maps-API-Key" 360 | ``` 361 | 1. For the clientId variable, replace Your-Client-ID with the[ OAuth 2.0 client ID](https://docs.google.com/document/d/1AwDrzSgIgzEFj1Se5q3CsPKups8UTgKzPv4jNc3z0ic/edit#heading=h.cbxggavwji9j) you created earlier. 362 | 2. For the projectId variable, replace the value string, Your-Project-ID, with the your project ID. 363 | 3. Save the file. 364 | 365 | ## Viewing the web page 366 | 367 | You can use Cloud Shell to view the web page. Follow these steps: 368 | 369 | 1. From the geo\_bq/web directory, run the following command to start the server: 370 | 371 | python -m SimpleHTTPServer 8080 372 | 373 | When the server is running, Cloud Shell prints the following message: 374 | 375 | Serving HTTP on 0.0.0.0 port 8080 ... 376 | 377 | 1. In the top-left corner of Cloud Shell, click Web preview and then click Preview on port 8080. Cloud Shell opens a new browser tab that connects to the web server. 378 | 2. In the new browser tab, note the origin URL. The origin URL has a format 379 | similar to the following example, where [RANDOM\_NUMBER] could be any value: 380 | 381 | https://8080-dot-[RANDOM\_NUMBER]-dot-devshell.appspot.com 382 | 383 | 1. In the Cloud Console, return to the [Credentials](https://console.developers.google.com/apis/credentials) page; 384 | 385 | 1. Click the name of your OAuth 2.0 client ID. 386 | 2. In the Restrictions section, add the origin URL you noted in the previous step. Do not add a port 387 | number. 388 | 389 | The origin URL that you provide in this step tells OAuth 2.0 that it's safe to 390 | accept requests from the Cloud Shell browser. Without this step, the web page 391 | can't use script to access the data you loaded into BigQuery. 392 | 393 | 3. Click Save. 394 | 4. In the browser tab that Cloud Shell opened, click the link for bqapi.html. If your browser has a pop-up blocker, turn it off for this site. 395 | 5. In the pop-up window, follow the OAuth 2.0 authentication prompts. You won't 396 | have to repeat this flow in this session if, for example, you reload the web 397 | page. 398 | 6. After the map has loaded, select the rectangle tool in the upper-left corner of 399 | the map. 400 | 7. Use the tool to draw a rectangle around the entire currently visible land mass 401 | on the map. 402 | 403 | The page shows a heat map. Exactly where the heat map regions display on the 404 | map depends on the data you loaded into BigQuery. 405 | 406 | For details about how the code works, see the tutorial on the Google Cloud 407 | Platform site. 408 | 409 | -------------------------------------------------------------------------------- /resources/data/Mobile-GPS-Trip10.csv: -------------------------------------------------------------------------------- 1 | NMEA Sentence Code,UTC Time,Status,Latitude,Latitude Direction,Longitude,Longitude Direction,Speed (knots),Track Angle (degrees true),Date,MagneticVariation,Magnetic Variation Direction,[FAA Mode]-Optional,Checksum 2 | $GPRMC,194940.3,A,3335.8164,N,11727.8691,W,32.80,259.60,300110,,*28 3 | $GPRMC,194943.3,A,3335.7808,N,11727.8755,W,29.20,210.00,300110,,*25 4 | $GPRMC,194946.3,A,3335.7390,N,11727.8659,W,41.20,180.90,300110,,*2A 5 | $GPRMC,194949.3,A,3335.7011,N,11727.8680,W,42.10,187.80,300110,,*2D 6 | $GPRMC,194952.3,A,3335.6643,N,11727.8860,W,47.50,202.40,300110,,*24 7 | $GPRMC,194955.3,A,3335.6329,N,11727.9132,W,44.20,217.50,300110,,*24 8 | $GPRMC,194958.3,A,3335.6068,N,11727.9416,W,41.70,224.90,300110,,*20 9 | $GPRMC,195001.3,A,3335.5912,N,11727.9755,W,37.20,237.90,300110,,*21 10 | $GPRMC,195004.3,A,3335.5966,N,11728.0142,W,35.80,265.80,300110,,*2F 11 | $GPRMC,195007.3,A,3335.6076,N,11728.0560,W,39.40,275.10,300110,,*2B 12 | $GPRMC,195010.3,A,3335.6066,N,11728.0942,W,36.70,265.90,300110,,*25 13 | $GPRMC,195013.3,A,3335.5929,N,11728.1294,W,37.20,252.00,300110,,*2F 14 | $GPRMC,195016.3,A,3335.5614,N,11728.1475,W,33.70,219.70,300110,,*2B 15 | $GPRMC,195019.3,A,3335.5223,N,11728.1574,W,41.50,207.20,300110,,*29 16 | $GPRMC,195022.3,A,3335.4946,N,11728.1828,W,43.00,220.10,300110,,*2D 17 | $GPRMC,195025.3,A,3335.4827,N,11728.2184,W,35.00,239.70,300110,,*2F 18 | $GPRMC,195028.3,A,3335.4946,N,11728.2617,W,38.70,274.60,300110,,*2B 19 | $GPRMC,195031.3,A,3335.5180,N,11728.2994,W,41.80,298.90,300110,,*28 20 | $GPRMC,195034.3,A,3335.5353,N,11728.3387,W,44.30,292.20,300110,,*27 21 | $GPRMC,195037.3,A,3335.5398,N,11728.3775,W,39.60,281.00,300110,,*25 22 | $GPRMC,195040.3,A,3335.5217,N,11728.4142,W,41.20,256.60,300110,,*21 23 | $GPRMC,195043.3,A,3335.5113,N,11728.4554,W,41.70,256.00,300110,,*25 24 | $GPRMC,195046.3,A,3335.5170,N,11728.4966,W,41.80,276.00,300110,,*25 25 | $GPRMC,195049.3,A,3335.5360,N,11728.5389,W,45.60,288.80,300110,,*20 26 | $GPRMC,195052.3,A,3335.5502,N,11728.5827,W,47.50,289.00,300110,,*2F 27 | $GPRMC,195055.3,A,3335.5640,N,11728.6274,W,47.10,289.10,300110,,*27 28 | $GPRMC,195058.3,A,3335.5773,N,11728.6712,W,46.00,289.40,300110,,*2B 29 | $GPRMC,195101.3,A,3335.5936,N,11728.7113,W,43.80,300.20,300110,,*24 30 | $GPRMC,195104.3,A,3335.6166,N,11728.7478,W,45.90,306.90,300110,,*2D 31 | $GPRMC,195107.3,A,3335.6424,N,11728.7780,W,43.50,310.60,300110,,*2B 32 | $GPRMC,195110.3,A,3335.6658,N,11728.8133,W,45.80,304.70,300110,,*2A 33 | $GPRMC,195113.3,A,3335.6789,N,11728.8573,W,48.00,288.30,300110,,*20 34 | $GPRMC,195116.3,A,3335.6892,N,11728.9043,W,49.10,284.70,300110,,*2F 35 | $GPRMC,195119.3,A,3335.7017,N,11728.9493,W,45.90,290.50,300110,,*2E 36 | $GPRMC,195122.3,A,3335.7159,N,11728.9921,W,45.90,290.40,300110,,*28 37 | $GPRMC,195125.3,A,3335.7259,N,11729.0336,W,43.60,286.30,300110,,*21 38 | $GPRMC,195128.3,A,3335.7113,N,11729.0702,W,37.60,258.70,300110,,*26 39 | $GPRMC,195132.3,A,3335.6662,N,11729.1037,W,40.90,217.30,300110,,*2D 40 | $GPRMC,195135.3,A,3335.6405,N,11729.1301,W,39.00,225.90,300110,,*23 41 | $GPRMC,195138.3,A,3335.6235,N,11729.1644,W,40.30,238.60,300110,,*21 42 | $GPRMC,195141.3,A,3335.6238,N,11729.1976,W,31.50,257.10,300110,,*22 43 | $GPRMC,195144.3,A,3335.6402,N,11729.2342,W,38.80,278.70,300110,,*29 44 | $GPRMC,195147.3,A,3335.6448,N,11729.2730,W,39.40,274.30,300110,,*20 45 | $GPRMC,195150.3,A,3335.6326,N,11729.3106,W,40.50,257.40,300110,,*22 46 | $GPRMC,195153.3,A,3335.6097,N,11729.3484,W,44.50,246.70,300110,,*20 47 | $GPRMC,195157.3,A,3335.5983,N,11729.4040,W,43.10,257.80,300110,,*2C 48 | $GPRMC,195200.3,A,3335.6045,N,11729.4464,W,39.30,270.60,300110,,*2B 49 | $GPRMC,195203.3,A,3335.5980,N,11729.4819,W,36.70,258.40,300110,,*2E 50 | $GPRMC,195206.3,A,3335.5713,N,11729.5051,W,35.50,224.90,300110,,*2D 51 | $GPRMC,195209.3,A,3335.5477,N,11729.5328,W,39.90,229.00,300110,,*2A 52 | $GPRMC,195212.3,A,3335.5339,N,11729.5698,W,39.50,242.00,300110,,*22 53 | $GPRMC,195215.3,A,3335.5312,N,11729.6057,W,33.30,254.90,300110,,*28 54 | $GPRMC,195218.3,A,3335.5490,N,11729.6416,W,38.50,286.90,300110,,*2B 55 | $GPRMC,195221.3,A,3335.5638,N,11729.6796,W,38.70,281.40,300110,,*22 56 | $GPRMC,195224.3,A,3335.5665,N,11729.7189,W,39.80,273.40,300110,,*25 57 | $GPRMC,195227.3,A,3335.5539,N,11729.7556,W,39.30,255.00,300110,,*21 58 | $GPRMC,195230.3,A,3335.5434,N,11729.7938,W,40.00,256.00,300110,,*21 59 | $GPRMC,195233.3,A,3335.5326,N,11729.8291,W,36.20,248.00,300110,,*2D 60 | $GPRMC,195236.3,A,3335.5103,N,11729.8531,W,33.50,226.80,300110,,*22 61 | $GPRMC,195239.3,A,3335.4740,N,11729.8571,W,38.20,204.20,300110,,*2F 62 | $GPRMC,195242.3,A,3335.4479,N,11729.8795,W,40.80,218.00,300110,,*28 63 | $GPRMC,195245.3,A,3335.4339,N,11729.9151,W,40.90,240.30,300110,,*2C 64 | $GPRMC,195248.3,A,3335.4246,N,11729.9518,W,38.60,250.80,300110,,*2B 65 | $GPRMC,195251.3,A,3335.4193,N,11729.9878,W,35.20,262.90,300110,,*2A 66 | $GPRMC,195254.3,A,3335.4260,N,11730.0208,W,32.30,282.10,300110,,*2C 67 | $GPRMC,195257.3,A,3335.4392,N,11730.0547,W,34.50,281.00,300110,,*2D 68 | $GPRMC,195300.3,A,3335.4381,N,11730.0907,W,36.10,268.20,300110,,*27 69 | $GPRMC,195303.3,A,3335.4256,N,11730.1268,W,38.20,252.30,300110,,*29 70 | $GPRMC,195306.3,A,3335.4127,N,11730.1637,W,37.60,257.10,300110,,*2B 71 | $GPRMC,195309.3,A,3335.4103,N,11730.2017,W,39.80,267.90,300110,,*2E 72 | $GPRMC,195312.3,A,3335.4169,N,11730.2384,W,39.80,281.00,300110,,*20 73 | $GPRMC,195315.3,A,3335.4355,N,11730.2701,W,39.80,301.10,300110,,*2B 74 | $GPRMC,195318.3,A,3335.4543,N,11730.3046,W,42.40,301.80,300110,,*2B 75 | $GPRMC,195321.3,A,3335.4732,N,11730.3405,W,42.30,301.80,300110,,*21 76 | $GPRMC,195324.3,A,3335.4897,N,11730.3764,W,39.90,295.00,300110,,*22 77 | $GPRMC,195327.3,A,3335.4995,N,11730.4160,W,42.30,284.80,300110,,*29 78 | $GPRMC,195330.3,A,3335.4959,N,11730.4551,W,39.50,264.90,300110,,*2C 79 | $GPRMC,195333.3,A,3335.4895,N,11730.4931,W,38.50,262.50,300110,,*2F 80 | $GPRMC,195336.3,A,3335.4939,N,11730.5312,W,37.10,277.90,300110,,*24 81 | $GPRMC,195339.3,A,3335.5073,N,11730.5681,W,38.80,292.10,300110,,*27 82 | $GPRMC,195342.3,A,3335.5261,N,11730.6058,W,41.80,297.10,300110,,*20 83 | $GPRMC,195345.3,A,3335.5405,N,11730.6426,W,38.10,292.20,300110,,*2F 84 | $GPRMC,195348.3,A,3335.5463,N,11730.6839,W,39.50,279.20,300110,,*20 85 | $GPRMC,195351.3,A,3335.5382,N,11730.7255,W,41.00,259.90,300110,,*22 86 | $GPRMC,195354.3,A,3335.5215,N,11730.7643,W,43.10,245.00,300110,,*2C 87 | $GPRMC,195357.3,A,3335.5033,N,11730.8016,W,42.00,237.00,300110,,*25 88 | $GPRMC,195400.3,A,3335.4767,N,11730.8302,W,41.70,221.20,300110,,*20 89 | $GPRMC,195403.3,A,3335.4463,N,11730.8481,W,39.90,207.30,300110,,*2C 90 | $GPRMC,195406.3,A,3335.4130,N,11730.8581,W,40.90,202.20,300110,,*21 91 | $GPRMC,195409.3,A,3335.3830,N,11730.8772,W,40.80,211.20,300110,,*2D 92 | $GPRMC,195412.3,A,3335.3546,N,11730.9076,W,43.90,219.90,300110,,*28 93 | $GPRMC,195415.3,A,3335.3383,N,11730.9484,W,44.40,240.50,300110,,*23 94 | $GPRMC,195418.3,A,3335.3211,N,11730.9887,W,43.50,236.60,300110,,*2F 95 | $GPRMC,195421.3,A,3335.2994,N,11731.0242,W,45.90,236.20,300110,,*27 96 | $GPRMC,195424.3,A,3335.2756,N,11731.0530,W,43.80,234.70,300110,,*20 97 | $GPRMC,195427.3,A,3335.2588,N,11731.0891,W,43.10,241.00,300110,,*28 98 | $GPRMC,195430.3,A,3335.2439,N,11731.1298,W,44.00,246.90,300110,,*2F 99 | $GPRMC,195433.3,A,3335.2337,N,11731.1696,W,43.40,250.30,300110,,*21 100 | $GPRMC,195436.3,A,3335.2232,N,11731.2093,W,41.50,252.10,300110,,*23 101 | $GPRMC,195439.3,A,3335.2135,N,11731.2474,W,40.30,251.80,300110,,*28 102 | $GPRMC,195442.3,A,3335.1983,N,11731.2833,W,40.60,238.50,300110,,*2A 103 | $GPRMC,195445.3,A,3335.1764,N,11731.3112,W,36.40,226.20,300110,,*2A 104 | $GPRMC,195449.3,A,3335.1321,N,11731.3252,W,34.90,192.50,300110,,*20 105 | $GPRMC,195452.3,A,3335.0965,N,11731.3282,W,40.30,189.10,300110,,*2B 106 | $GPRMC,195455.3,A,3335.0640,N,11731.3408,W,40.10,202.30,300110,,*20 107 | $GPRMC,195458.3,A,3335.0354,N,11731.3667,W,45.60,218.20,300110,,*2E 108 | $GPRMC,195501.3,A,3335.0165,N,11731.4039,W,43.50,232.10,300110,,*27 109 | $GPRMC,195504.3,A,3334.9916,N,11731.4374,W,45.00,227.60,300110,,*2C 110 | 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