Add linking between datasets

Hazard ID and Exposure ID fields should render as links
to respective pages. Requires changing id to dataset_id
to not conflict with page ids.

_data/schemas/rdl-02.yml

@@ -6,7 +6,7 @@
 # RDS-attributes: common fields
 # Contribution (dataset)
 dataset_fields:
-  - field_name: id
+  - field_name: dataset_id
     label: ID of dataset
     required: true
   - field_name: title
@@ -378,7 +378,10 @@ loss:
       - probabilistic
   - field_name: hazard_id
     label: Hazard ID
+    display_template: display/dataset_link.html
   - field_name: exposure_id
     label: Exposure ID
+    display_template: display/dataset_link.html
   - field_name: vulnerability_id
-    label: Vulnerability ID
+    label: Vulnerability ID
+    display_template: display/dataset_link.html

_datasets/afghanistan-drought-risk.md

@@ -5,6 +5,7 @@ contact_point:
 creator:
   name: GFDRR
   url: https://www.gfdrr.org
+dataset_id: AFG_lss-drought
 description: Annual average losses in agricultural production (USD) and affected population,
   both for the baseline reference and future projections (2050)
 details: "To better understand natural hazard and disaster risk, the World Bank and\
@@ -15,7 +16,6 @@ details: "To better understand natural hazard and disaster risk, the World Bank
   \ This publication describes the applied methods and main results of the project."
 exposure: null
 hazard: null
-id: AFG_lss-drought
 license: CC-BY-4.0
 loss:
   approach: analytical

_datasets/afghanistan-flood-risk.md

@@ -5,6 +5,7 @@ contact_point:
 creator:
   name: GFDRR
   url: https://www.gfdrr.org
+dataset_id: AFG_lss-flood
 description: Average Annual Losses (AAL) for current population (AALpop), current
   asset (AALnowUSD), population SSP scenarios at 2050 (AALpopSP1-5), asset SSP scenarios
   at 2050 (AAL_usd_SP1-5).
@@ -16,7 +17,6 @@ details: "To better understand natural hazard and disaster risk, the World Bank
   \ This publication describes the applied methods and main results of the project."
 exposure: null
 hazard: null
-id: AFG_lss-flood
 license: CC-BY-4.0
 loss:
   approach: analytical

_datasets/global-flood-depth-damage-functions.md

@@ -4,6 +4,7 @@ contact_point:
   name: Mattia Amadio
 creator:
   name: Huizinga, J.
+dataset_id: https://publications.jrc.ec.europa.eu/repository/handle/JRC105688
 description: This dataset contains damage curves depicting fractional damage function
   of water depth as well as maximum damage values for a variety of assets and land
   use classes.
@@ -21,7 +22,6 @@ details: Based on an extensive literature survey concave damage curves have been
   assessment in countries where no damage model is currently available.
 exposure: null
 hazard: null
-id: https://publications.jrc.ec.europa.eu/repository/handle/JRC105688
 license: CC-BY-4.0
 loss: null
 project: null

_datasets/global-flood-hazard-maps.md

@@ -5,6 +5,7 @@ contact_point:
 creator:
   name: Fathom
   url: https://www.fathom.global/
+dataset_id: FTH_v3
 description: Probabilistic modelling of fluvial and pluvial flood hazard
 details: "The FATHOM flood-hazard model is a global gridded dataset of flood hazard\
   \ produced at the global scale. It provides flood extent and water depth to ground\
@@ -33,7 +34,6 @@ hazard:
   intensity: wd:cm
   occurrence_range: 1/10 to 1/1000 years
   processes: coastal_flood, fluvial_flood, pluvial_flood
-id: FTH_v3
 license: Commercial
 loss: null
 project: null

_datasets/rooftop-classification-map-of-dominica.md

@@ -7,6 +7,7 @@ creator:
   email: [email protected]
   name: Isabelle Tingzon
   url: https://issa-tingzon.github.io/
+dataset_id: ortho_DOM
 description: Building footprint polygons of Dominica with corresponding roof type
   and roof material attributes predicted from RGB orthophotos taken in 2018-2019,
   in the aftermath of Hurricane Maria.
@@ -26,7 +27,6 @@ exposure:
   quantity_kind: area
   taxonomy: Custom roof type and roof material taxonomy
 hazard: null
-id: ortho_DOM
 license: CC-BY-4.0
 loss: null
 project: Digital Earth for Resilient Housing and Infrastructure in the Caribbean

_datasets/rooftop-classification-map-of-saint-lucia.md

@@ -7,6 +7,7 @@ creator:
   email: [email protected]
   name: Isabelle Tingzon
   url: https://issa-tingzon.github.io/
+dataset_id: ortho_LCA
 description: 'Building footprint polygons of Saint Lucia with corresponding roof type
   and roof material attributes predicted from RGB orthophotos taken in 2022. '
 details: 'The vector dataset depicts building footprint polygons of Saint Lucia with
@@ -24,7 +25,6 @@ exposure:
   quantity_kind: area
   taxonomy: Custom roof type and roof material taxonomy
 hazard: null
-id: ortho_LCA
 license: CC-BY-4.0
 loss: null
 project: Digital Earth for Resilient Housing and Infrastructure in the Caribbean

_includes/display/dataset_link.html

@@ -0,0 +1,22 @@
+<tr>
+  {% assign field_name = include.field.field_name %}
+  {% assign risk_data_type = page["risk_data_type"] | first %}
+  {% if field_name == "hazard_id" %}
+    {% assign linked_id = page[risk_data_type].hazard_id %}
+  {% elsif field_name == "exposure_id" %}
+    {% assign linked_id = page[risk_data_type].exposure_id %}
+  {% endif %}
+
+  {% assign linked_dataset = site.datasets | where:"dataset_id", linked_id | first %}
+  {% if linked_dataset %}
+    <th>{{ include.field.label | split:" " | first }}</th>
+    <td class="{{field_name}}">
+      <a href="{{ linked_dataset.url }}">{{ linked_dataset.title }}</a>
+    </td>
+  {% else %}
+    <th>{{ include.field.label }}</th>
+    <td class="{{field_name}}">
+      {{ linked_id }}
+    </td>
+  {% endif %}
+

import/rdl2jkan.py

@@ -290,7 +290,7 @@ def make_dataset_frontmatter(dataset):
         # required; throw if missing
         "contact_point": dataset["contact_point"],
         "creator": dataset["creator"],
-        "id": dataset["id"],
+        "dataset_id": dataset["id"],
         "license": dataset["license"],
         "publisher": dataset["publisher"],
         "resources": [make_resource(resource) for resource in dataset["resources"]],
@@ -349,7 +349,7 @@ def write_frontmatter(metadata, output_path):
                 dataset_frontmatter = make_dataset_frontmatter(dataset_json)
                 write_frontmatter(dataset_frontmatter, datasets_output_dir)
             except Exception as e:
-                logging.error(f"While writing {dataset_json.get("title", "a dataset with a missing title")} (id: {dataset_json.get("id", "missing")})",exc_info=e)
+                logging.error(f"While writing {dataset_json.get("title", "a dataset with a missing title")} (dataset_id: {dataset_json.get("dataset_id", "missing")})",exc_info=e)
 
 
     print("\nAll done! Please enjoy your datasets :)\n",