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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
env/ | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*,cover | ||
.hypothesis/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
target/ | ||
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# IPython Notebook | ||
.ipynb_checkpoints | ||
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# pyenv | ||
.python-version | ||
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# celery beat schedule file | ||
celerybeat-schedule | ||
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# dotenv | ||
.env | ||
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# virtualenv | ||
venv/ | ||
ENV/ | ||
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# Spyder project settings | ||
.spyderproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# PyCharm project settings | ||
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.idea | ||
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# Project specific settings | ||
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p_settings_*.py | ||
!p_settings_TEMPLATE.py | ||
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config.json | ||
config_dev.json | ||
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# GitStuff | ||
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*.orig | ||
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# CampFlow Stuff | ||
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workspace/ | ||
results/ | ||
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# example outputs | ||
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01_District_cool_e4.png | ||
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# output folder | ||
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output/ | ||
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# Markdown preview | ||
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README.html | ||
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# Do not ignore static folder | ||
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!/vdistrict/static |
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> Just stopping by to let us know about some issue you encountered with vDistrict? | ||
Please feel free to delete all of this text and tell us what you think! | ||
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> If you want to suggest larger changes and/or adding new features to vDistrict, | ||
please make sure to briefly answer the following few questions. For more | ||
information on how to contribute to vDistrict, see our | ||
[Contributors guide](../../doc/contributer.md). | ||
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> __Before submitting the issue, | ||
please delete these first lines. Thanks for contributing!__ | ||
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## What is the problem? | ||
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- ... | ||
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## Why do we want to solve it? | ||
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- ... | ||
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## How do we want to solve it? | ||
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- ... |
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> Thank you for making a Merge Request to vDistrict! | ||
> Please consider these points before submitting: | ||
> - Mention the issue that | ||
this Pull Request intends to solve, and briefly describe what the main changes | ||
are. | ||
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> If you know someone who could review your code, please assign the person | ||
below. If not, no worries, we will find someone for you. | ||
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> __Before submitting the merge request, | ||
please delete these first lines. Thanks again for your MR!__ | ||
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## Issue that is solved with this Merge Request? | ||
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- ... | ||
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## What are the main changes? | ||
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- ... |
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# vDistrict - Django Project to collect and demonstrate functionalities of EBC Django-apps. | ||
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## Introduction | ||
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This repository contains a Django project to demonstrate the functionalities of several Django apps original developed at the [Institute for Energy Efficient Buildings and Indoor Climate](https://www.ebc.eonerc.rwth-aachen.de/cms/~dmzz/E-ON-ERC-EBC/). Among these are the TEASER and uesgraph API, as well as a GIS-based | ||
interactive webpage. | ||
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This repository is currently mainted by the [Institute for Digital Networking of Buildings, Energy Supply Systems and Users](mailto:[email protected]) , if you have any questions don't hesitate to contact us. | ||
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We've set up this repository for testing and learning purposes. However, first you need | ||
to learn how to configure your databases and the Django settings. | ||
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## Quick Guide installation and configuration | ||
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In this Quick Guide we assume you already have the connection details (IP, Port, | ||
database name, username and password) for 3DCityDB (PostGIS) and InfluxDB. If not and | ||
you are an administrator you can follow the | ||
[administrator guide using docker](./doc/dev_docker.md), otherwise you should ask your supervisor. | ||
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First you need to ensure that you have installed all dependencies, we provide two installation guides for: | ||
1. [Installation for Windows](./doc/user_windows.md) | ||
2. [Installation for Linux](./doc/user_linux.md) | ||
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In addition you need to configure you Django settings. You can use this guide to [create your own settings](./doc/settings.md). | ||
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Please use this database if you want to run the tests: | ||
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Now you can run the migrations and work with vDistrict: | ||
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Run to create and synchronize the models (after the first `migrate` you will | ||
get some errors, that the table `building` already exists, please just ignore it) | ||
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$ python manage.py migrate | ||
$ python manage.py migrate --fake-initial | ||
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## First steps | ||
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After you followed the instructions above you can run your local Django server | ||
with: | ||
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$ ./vDistrict python manage.py runserver | ||
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## Version | ||
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This is version 0.1.0. In development phase we will not guarantee to use strict semantic | ||
versioning. | ||
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## Reference | ||
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The actual main part of 'django-citydb' is developed for: | ||
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(1) Remmen, P. Automated Calibration of Non-Residential Urban Building Energy Modeling = Automatisierte Kalibrierung von Simulationsmodellen Für Nichtwohngebäude Im Städtischen Maßstab, 1. Auflage.; E.ON Energy Research Center, RWTH Aachen University: Aachen, 2022. [Link](https://publications.rwth-aachen.de/record/843586/files/843586.pdf) | ||
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Current status of the code will be updated continously. List of publications: | ||
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[GityGML Import and Export for Dynamic Building Perfomance Simulation](https://www.researchgate.net/publication/308368722_CityGML_Import_and_Export_for_Dynamic_Building_Performance_Simulation_in_Modelica) | ||
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## Contact | ||
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Code is maintained by TU Berlin Institute for Digital Networking of Buildings, Energy Supply Systems and Users. [Contact Us](mailto:[email protected]) | ||
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## License | ||
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[MIT](LICENSE) | ||
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## Acknowledgements | ||
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`django-citydb` has been developed within public funded projects | ||
and with financial support by BMWK (Federal Ministry for Economics and Climate Action) | ||
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<img src="resources/bmwk_en_2023.png" width="200"> |
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# Overview of all available databases | ||
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| | PostGIS IP | PostGIS Port | PostGIS Name | PostGIS Username | PostGIS Password | Influx IP | Influx Port | Influx Name | Influx Username | Influx Password | | ||
|--------|----------------|--------------|--------------|------------------|------------------|----------------|-------------|-------------|-----------------|-----------------| | ||
| 1 Diss | 137.226.248.78 | 1101 | diss | | | 137.226.248.78 | 8086 | diss | | | | ||
| 2 lth | 137.226.248.78 | 1100 | da_lth | admin | admin | 137.226.248.78 | 8086 | ba_lth | admin | admin | | ||
| 3 | | | | | | | | | | | | ||
| 4 | | | | | | | | | | | | ||
| | | | | | | | | | | | | ||
| | | | | | | | | | | | | ||
| | | | | | | | | | | | | ||
| | | | | | | | | | | | | ||
| | | | | | | | | | | | | ||
| | | | | | | | | | | | |
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# Administrator Guide Using Docker | ||
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To set up databases, we will guide you through 2 steps: | ||
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1. Start `3dcitydb` docker with `PostgreSQL` and `PostGIS` | ||
2. Start `InfluxDB` docker | ||
3. Migrate EnergyADE and UtilityNetworksADE | ||
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If you don't know docker, have a look at: https://docs.docker.com/. There is a helpful | ||
docker cheat sheet available here: | ||
https://www.docker.com/sites/default/files/Docker_CheatSheet_08.09.2016_0.pdf. | ||
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We assume you have docker already installed on you system, if not, use this guide: | ||
https://docs.docker.com/engine/installation/linux/docker-ce/ubuntu/#install-docker-ce. | ||
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## 1. 3DCityDB | ||
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First we want to start a docker, that contains a `PostgreSQL` database, with | ||
`PostGIS` extension and one database, with 3DCityDB schema. | ||
- run the docker with: | ||
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$ docker run -dit --name {YOURNAME} -p {YOURPORT}:5432 -e "SRID=25832" -e "SRSNAME=urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH" -e "CITYDBNAME={YOURDB}" -e "POSTGRES_USER=admin" -e "POSTGRES_PASSWORD=admin" tumgis/3dcitydb-postgis | ||
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- --name for docker container name (e.g. citydb-docker) | ||
- -p is to expose the postgres port 5432 (e.g. 5432:5432) | ||
- CITYDBNAME for Database Name (e.g. citydb) | ||
- POSTGRES_USER for Database user name (e. g. admin) | ||
- POSTGRES_PASSWORD for Password (e. g. admin) | ||
- SRID set the SRID reference (standardvalues / needed for 3dcitydb) ("25832") | ||
- SRSName set the SRSName reference (standardvalues / needed for 3dcitydb) ("urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH") | ||
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## 2. InfluxDB | ||
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In addition to semantic data we store time series data using `InfluxDB`, to run the docker do the following: | ||
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- pull the influxdb docker image | ||
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$ docker pull influxdb | ||
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For persistence it is recommended, that you are using a mounted or shared folder | ||
where you can store your backups to (in our example we are creating a folder in | ||
media at the host machine) | ||
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- run the docker with the http api port 8086 exposed | ||
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$ docker run --name=influxdb -d -p 8086:8086 -v /media/influxdb_backup/:/backup influxdb | ||
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- jump into the influxdb console for Database and User creation | ||
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$ docker exec -it influxdb bash | ||
$ influx | ||
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# CREATE DATABASE vdistrict | ||
# CREATE USER vdistrict WITH PASSWORD 'vdistrict' WITH ALL PRIVILEGES | ||
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For Backup and restore have a look here: | ||
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https://www.influxdata.com/blog/backuprestore-of-influxdb-fromto-docker-containers/ | ||
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## 3. Migrate EnergyADE and UtilityNetworksADE | ||
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1. Start 3DCityDB Importer/Exporter https://github.com/3dcitydb/importer-exporter | ||
2. Select tab "Datenbank" and enter your database configuration and connect your database ("Verbinden") | ||
3. Select tab "ADE Manager" and chose the path to `vDistrict/schema_mappings/EnergyADE_mapping` folder in this repository | ||
4. Select "ADE registrieren" | ||
5. Repeat step 3 and 4 with `vDistrict/schema_mappings/UtilityNetworksADE_mapping` | ||
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## Important Note : Restore | ||
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## InfluxDB | ||
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As i ran into quite a few problems while actually restoring the data, i would like to share my way how i got it to work: | ||
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1. create a docker container with a shared influxdb folder like: `-v /your/path/here:/var/lib/influxdb` | ||
2. exec into the container with `exec -it containername /bin/bash` | ||
3. restore your data with the restore command found in the link above (quickstart: `influxd restore -metadir /var/lib/influxdb/meta -datadir /var/lib/influxdb/data -database yourdatabase /backup/yourdatabase.backup`) | ||
4. restart your container with "docker restart influxdb" | ||
6. Enjoy your backup! | ||
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Troubleshooting if needed: | ||
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4. after done that you should restart the influxdb service (but that is not working, thus you have to follow the workaraound in step 5.) | ||
5. Check if the data / meta / and wal directories with your database exist in the shared folder mentioned in 1. If no (i have no glue). So if yes, simply start another docker container | ||
with for example : `docker run --name=influxdb -d -p 8086:8086 -v /media/influxdb_backup/:/backup -v /your/path/here:/var/lib/influxdb influxdb` (Attention: the second shared folder | ||
with the actual data is very much needed :) ) | ||
6. Enjoy your backup! | ||
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#### Postgres | ||
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A very simple approach to backup and restore the postgres docker is explained here: | ||
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https://stackoverflow.com/questions/24718706/backup-restore-a-dockerized-postgresql-database/29913462#29913462 |
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C:\Program Files\Dymola 2019\Modelica\Library\python_interface\dymola.egg |
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