Landing page

core/core/sustainability_labels/bootstrap_database.py

@@ -10,7 +10,7 @@
 def _get_localized_certificate_attribute(
     certificate_information: Dict[str, Dict[str, Any]],
     attribute: str,
-    language_order: List[str] = ["de", "en", "fr"],
+    language_order: List[str] = ["en", "de", "fr"],
 ) -> str:
     """
     Helper function to retrieve an `attribute` from `certificate_information`
@@ -27,7 +27,7 @@ def _get_localized_certificate_attribute(
        str: of the corresponding attribute in one language.
     """
     for language in language_order:
-        if language in certificate_information["languages"].keys():
+        if language in certificate_information["languages"]:
             return certificate_information["languages"][language][attribute]
     return ""
 
@@ -58,5 +58,5 @@ def _get_localized_certificate_attribute(
         ),
         social_conflict_minerals=certificate_information.get("social_conflict_minerals", None),
     )
-    for certificate_id, certificate_information in load_and_get_sustainability_labels().items()
+    for certificate_id, certificate_information in certificates.items()
 ]

landing-page/.gitignore

@@ -0,0 +1 @@
+poetry.lock

landing-page/README.md

@@ -0,0 +1,4 @@
+to rebuild the landing page run `python landing-page.py --no-cache` and push index.html
+
+make sure to portforward the postgres pod if you pass --no-cache.
+if you run `python landing-page.py` (without --no-cache), it will use old data and it will be alot faster. use it for quickly testing things.

landing-page/landing_page/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.1.0"

landing-page/landing_page/landing-page.md

@@ -0,0 +1,70 @@
+
+:: section#header div.container div.row
+
+# GreenDB: Sustainability Data for Consumer Products
+
+:: section div.container
+
+::: div.row
+:::: column.weight=5
+
+GreenDB is a publicly available database of sustainable products, scraped from European online shops on a weekly basis. As proxy for the products’ sustainability, it relies on sustainability labels, which are evaluated by experts. The GreenDB schema extends the well-known [Schema.org](https://www.schema.org){.link} Product definition and is compatible with standardized fine grained product taxonomies such as [GS1](https://gpc-browser.gs1.org){.link}.
+
+:::: column.weight=3 div.stats content.name=stats
+
+::: div.row div.ff
+
+[Data](https://doi.org/10.5281/zenodo.6078038){.btn}[Publications](#publications){.btn}[Demos](#demos){.btn}[Github](https://github.com/calgo-lab/green-db/){.btn}
+
+:: section div.container div.row content.name=plot_category_cred
+
+:: section div.container div.row
+## Sample
+::: div.ff content.name=excerpt
+
+:: section div.container
+## Schema
+
+### Products
+
+::: div.row div.ff div.table-wrapper
+| **column name** | timestamp | url | source | merchant | country | category | name | description | brand | sustainability_labels | price | currency | image_urls | gender | consumer_lifestage | colors | sizes | gtin | asin
+| -: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-:
+| **data type** | timestamp | text | text | text | text | text | text | text | text | array[text] | numeric | text | array[text] | text | text | array[text] | array[text] | int | text
+| **nullable** | no | no | no | no | no | no | no | no | no | no | no | no | no | yes | yes | yes | yes | yes | yes
+:::
+
+### Sustainability labels
+
+::: div.row div.ff div.table-wrapper
+| **column name** | id | timestamp | name | description | cred_credibility | eco_chemicals | eco_lifetime | eco_water | eco_inputs | eco_quality | eco_energy | eco_waste_air | eco_environmental_management | social_labour_rights | social_business_practice | social_social_rights | social_company_responsibility | social_conflict_minerals
+| -: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-:
+| **data type** | text | timestamp | text | text | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4 | int4
+| **nullable** | no | no | no | no | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes
+
+:: section#demos div.container
+
+## Demos
+
+::: div.row div.ff
+* [Product search demo](https://search.demo.calgo-lab.de/){.link}
+* [Automated extraction of product information](https://product-classification.demo.calgo-lab.de/){.link}
+* [Monitoring](https://monitoring.demo.calgo-lab.de/){.link}
+
+:: section#publications div.container
+
+## Publications
+
+::: div.row div.ff
+
+* [Flick, A., Jäger, S., Trajanovska, I., Biessmann, F. (2023). Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data. In: , et al. Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham.](https://doi.org/10.1007/978-3-031-28241-6_19){.link}
+* [Jäger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., and Bießmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908.](https://arxiv.org/abs/2205.02908){.link}
+* [Jäger, S., Flick, A., Sanchez Garcia, J. A., von den Driesch, K., Brendel, K., and Bießmann, F. (2022). GreenDB: A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods., ArXiv, abs/2207.10733.](https://arxiv.org/abs/2207.10733){.link}
+
+:: footer div.container div.row
+
+.
+
+:: div.overlay#label_overlay div.container div.row
+::: column.weight=5 content.name=label_name content.name=label_description
+::: column.weight=3 content.name=label_data