colouring-montreal/etl/README.md

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# Creating a Colouring London database from scratch
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## Data downloading
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The scripts in this directory are used to extract, transform and load (ETL) the core datasets
for Colouring London:
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1. Building geometries, sourced from Ordnance Survey (OS) MasterMap (Topography Layer)
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1. Unique Property Reference Numbers (UPRNs), sourced from Ordnance Survey AddressBase
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To get the required datasets, you'll need to complete the following steps:
1. Sign up for the Ordnance Survey [Data Exploration License](https://www.ordnancesurvey.co.uk/business-government/licensing-agreements/data-exploration-sign-up). You should receive an e-mail with a link to log in to the platform (this could take up to a week).
2. Navigate to https://orders.ordnancesurvey.co.uk/orders and click the button for: ✏️ Order. From here you should be able to click another button to add a product.
3. Drop a rectangle or Polygon over London and make the following selections, clicking the "Add to basket" button for each:
![](screenshot/MasterMap.png)
<p></p>
![](screenshot/AddressBase.png)
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4. You should be then able to check out your basket and download the files. Note: there may be multiple `.zip` files to download for MasterMap due to the size of the dataset.
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5. Unzip the AddressBase `.zip` in a convenient location. We will use the unzipped folder in later steps. Rename the folder as appropriate (make sure this folder doesn't contain the original `.zip` file). Note: this folder also contains `.zip` files, do not unzip at this stage as a script will do this later.
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6. Unzip the MasterMap `.zip` files and move all the `.gz` files from each to a single folder in a convenient location. We will use this folder in later steps.
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## Prerequisites
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You should already have set up PostgreSQL and created a database. Make sure to create environment variables to use `psql` if you haven't already:
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```bash
export PGPASSWORD=<pgpassword>
export PGUSER=<username>
export PGHOST=localhost
export PGDATABASE=<colouringlondondb>
```
Create the core database tables:
```bash
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cd ~/colouring-london
psql < migrations/001.core.up.sql
```
There is some performance benefit to creating indexes after bulk loading data.
Otherwise, it's fine to run all the migrations at this point and skip the index
creation steps below.
Install GNU parallel, this is used to speed up loading bulk data.
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## Make data available to Ubuntu
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If you didn't download the OS files to the Ubuntu machine where you are setting up your Colouring London application, you will need to make them available there. If you are using Virtualbox, you could host share a the two folders containing the files (one for MasterMap, one for AddressBase) with the VM via a shared folder (e.g. [see these instructions for Mac](https://medium.com/macoclock/share-folder-between-macos-and-ubuntu-4ce84fb5c1ad)).
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## Process and load Ordnance Survey data
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The scripts should be run in the following order:
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```bash
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cd ~/colouring-london/etl
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```
Extract the addressBase dataset.
```bash
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sudo ./extract_addressbase.sh ./addressbase_dir
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```
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<!-- ERROR 1: Couldn't fetch requested layer 'BasicLandPropertyUnit'! -->
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Extract the MasterMap data (this step could take a while).
```bash
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sudo ./extract_mastermap.sh ./mastermap_dir
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```
Filter MasterMap 'building' polygons and any others referenced by addressbase.
```bash
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sudo ./filter_transform_mastermap_for_loading.sh ./addressbase_dir ./mastermap_dir
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```
Load all building outlines.
```bash
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sudo ./load_geometries.sh ./mastermap_dir
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```
Index geometries.
```bash
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psql < ../migrations/002.index-geometries.up.sql
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```
Create a building record per outline.
```bash
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sudo ./create_building_records.sh
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```
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Ensure you have the `colouringlondon` environment activated, then add UPRNs where they match.
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```bash
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source colouringlondon/bin/activate
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load_uprns.py ./addressbase_dir
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````
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Run the remaining migrations in `../migrations` to create the rest of the database structure.
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```bash
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ls ~/colouring-london/migrations/*.up.sql 2>/dev/null | while read -r migration; do psql < $migration; done;
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```
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# [WIP] Updating the Colouring London database with new OS data
TODO: this section should instruct how to update and existing db