feat: translating facets values using taxonomies

Makefile

@@ -137,6 +137,11 @@ import-dataset: guard-filepath
 	@echo "🔎 Importing data …"
 	${DOCKER_COMPOSE} run --rm api python3 -m app import /opt/search/data/${filepath} ${args} --num-processes=2
 
+import-taxonomies:
+	@echo "🔎 Importing taxonomies …"
+	${DOCKER_COMPOSE} run --rm api python3 -m app import-taxonomies ${args}
+
+
 
 #-------#
 # Tests #

README.md

@@ -107,6 +107,7 @@ Now you can go to :
 or 
 - http://localhost:8000/static/off.html to access to lit components search page
 
+To look into the data, you may use elasticvue, going to http://127.0.0.1:8080/ and reaching  http://127.0.0.1:9200 cluster: `docker-cluster` (unless you changed env variables).
 
 #### Pre-Commit
 
@@ -141,6 +142,10 @@ Typical import time is 45-60 minutes.
 If you want to skip updates (eg. because you don't have a Redis installed), 
 use `make import-dataset filepath='products.jsonl.gz' args="--skip-updates"`
 
+You should also import taxonomies:
+
+`make import-taxonomies`
+
 
 ## Fundings
 

app/api.py

@@ -109,6 +109,14 @@ def check_facets_are_valid(index_id: str | None, facets: list[str] | None) -> No
         raise HTTPException(status_code=400, detail=json.dumps(errors))
 
 
+def parse_langs(langs: str | None) -> list[str]:
+    return langs.split(",") if langs else ["en"]
+
+
+def get_main_lang(langs: list[str] | None) -> str:
+    return langs[0] if langs else "en"
+
+
 @app.get("/search")
 def search(
     q: Annotated[
@@ -183,11 +191,13 @@ def search(
             status_code=400,
             detail=f"Maximum number of returned results is 10 000 (here: page * page_size = {page * page_size})",
         )
-    langs_list = langs.split(",") if langs else ["en"]
+    langs_list = parse_langs(langs)
+    main_lang = get_main_lang(langs_list)
     # search
     return app_search.search(
         q=q,
         langs=langs_list,
+        main_lang=main_lang,
         page_size=page_size,
         page=page,
         fields=fields.split(",") if fields else None,

app/config.py

@@ -185,14 +185,6 @@ class FieldConfig(BaseModel):
         ),
     ] = True
 
-    @model_validator(mode="after")
-    def taxonomy_name_should_be_used_for_taxonomy_type_only(self):
-        """Validator that checks that `taxonomy_name` is only provided for
-        fields with type `taxonomy`."""
-        if self.type is not FieldType.taxonomy and self.taxonomy_name is not None:
-            raise ValueError("taxonomy_name should be provided for taxonomy type only")
-        return self
-
     @model_validator(mode="after")
     def bucket_agg_should_be_used_for_keyword_and_numeric_types_only(self):
         """Validator that checks that `bucket_agg` is only provided for

app/facets.py

@@ -11,6 +11,7 @@
     QueryAnalysis,
     SearchResponse,
 )
+from .taxonomy_es import get_taxonomy_names
 
 
 def safe_get_index_config(
@@ -44,9 +45,69 @@ def check_all_facets_fields_are_agg(
     return errors
 
 
+def _get_translations(
+    lang: str, items: list[tuple[str, str]], index_config: config.IndexConfig
+) -> dict[tuple[str, str], str]:
+    # go from field_name to taxonomy
+    field_names = set([field_name for _, field_name in items])
+    field_taxonomy: dict[str, str] = {
+        # note: the `or ""` is only to make typing understand it can't be None
+        field_name: index_config.fields[field_name].taxonomy_name or ""
+        for field_name in field_names
+        if index_config.fields[field_name].taxonomy_name
+    }
+    # fetch items names
+    items_to_fetch = [
+        (id, field_taxonomy[field_name])
+        for id, field_name in items
+        if field_name in field_taxonomy
+    ]
+    items_names = get_taxonomy_names(items_to_fetch, index_config)
+    # compute best translations
+    translations: dict[tuple[str, str], str] = {}
+    for id, field_name in items:
+        item_translations = None
+        names = (
+            items_names.get((id, field_taxonomy[field_name]))
+            if field_name in field_taxonomy
+            else None
+        )
+        if names:
+            item_translations = names.get(lang, None)
+            # fold back to main language for item
+            if not item_translations:
+                main_lang = id.split(":", 1)[0]
+                item_translations = names.get(main_lang, None)
+            # fold back to english
+            if not translations:
+                item_translations = names.get("en", None)
+        # eventually translate
+        if item_translations:
+            translations[(id, field_name)] = item_translations[0]
+    return translations
+
+
+def translate_facets_values(
+    lang: str, facets: FacetsInfos, index_config: config.IndexConfig
+):
+    """Translate values of facets"""
+    # harvest items to translate
+    items = [
+        (item.key, field_name)
+        for field_name, info in facets.items()
+        for item in info.items
+    ]
+    translations = _get_translations(lang, items, index_config)
+    # translate facets
+    for field_name, info in facets.items():
+        for item in info.items:
+            item.name = translations.get((item.key, field_name), item.name)
+
+
 def build_facets(
     search_result: SearchResponse,
     query_analysis: QueryAnalysis,
+    lang: str,
     index_config: config.IndexConfig,
     facets_names: list[str] | None,
 ) -> FacetsInfos:
@@ -114,8 +175,7 @@ def build_facets(
         #             key="--none--",
         #             # TODO: translate in target language ?
         #             name="None",
-        #             # Note: this depends on search_result.is_count_exact,
-        #             # but we leave it to user to verify
+        #             # Note:translate_facets_values leave it to user to verify
         #             count=search_result.count - items_count,
         #             # FIXME: compute selected !
         #             selected=False,
@@ -136,5 +196,6 @@ def build_facets(
             items=facet_items,
             count_error_margin=count_error_margin,
         )
-
+    # translate
+    translate_facets_values(lang, facets, index_config)
     return facets

app/search.py

@@ -40,6 +40,7 @@ def search(
     page_size: int,
     fields: list[str] | None,
     langs: list[str],
+    main_lang: str,
     facets: list[str] | None,
 ) -> SearchResponse:
     """Run a search"""
@@ -83,7 +84,9 @@ def search(
         page_size=page_size,
         projection=projection,
     )
-    search_result.facets = build_facets(search_result, query, index_config, facets)
+    search_result.facets = build_facets(
+        search_result, query, main_lang, index_config, facets
+    )
     # remove aggregations to avoid sending too much information
     search_result.aggregations = None
     return search_result

app/taxonomy_es.py

@@ -0,0 +1,26 @@
+"""Operations on taxonomies in Elastic Search"""
+
+from elasticsearch_dsl import Search
+from elasticsearch_dsl.query import Q
+
+from app.config import IndexConfig
+
+
+def get_taxonomy_names(
+    items: list[tuple[str, str]],
+    config: IndexConfig,
+) -> dict[tuple[str, str], dict[str, list[str]]]:
+    """Given a set of terms in different taxonomies, return their names"""
+    filters = []
+    for id, taxonomy_name in items:
+        # match one term
+        filters.append(Q("term", id=id) & Q("term", taxonomy_name=taxonomy_name))
+    query = (
+        Search(index=config.taxonomy.index.name)
+        .filter("bool", should=filters, minimum_should_match=1)
+        .params(size=len(filters))
+    )
+    return {
+        (result.id, result.taxonomy_name): result.names.to_dict()
+        for result in query.execute().hits
+    }

data/config/openfoodfacts.yml

@@ -56,20 +56,25 @@ indices:
         type: text
       categories_tags:
         type: keyword
+        taxonomy_name: category
         bucket_agg: true
       labels_tags:
         type: keyword
+        taxonomy_name: label
         bucket_agg: true
       countries_tags:
         type: keyword
         bucket_agg: true
+        taxonomy_name: country
       states_tags:
         type: keyword
         bucket_agg: true
+        taxonomy_name: state
       origins_tags:
         type: keyword
       ingredients_tags:
         type: keyword
+        taxonomy_name: ingredient
       unique_scans_n:
         type: integer
       scans_n:
@@ -93,6 +98,7 @@ indices:
         type: integer
       allergens_tags:
         type: keyword
+        taxonomy_name: allergen
       ecoscore_data:
         type: disabled
       ecoscore_score:
@@ -123,16 +129,6 @@ indices:
         type: integer
       completeness:
         type: float
-    facets:
-      # include all fields
-      default:
-        order:
-        - categories_tags
-        - brands_tags
-        - labels_tags
-        - ecoscore_grade
-        - nova_groups
-        - ecoscore_grade
     document_denylist:
     - '8901552007122'
     lang_separator: _

tests/unit/data/openfoodfacts_config.yml

@@ -56,9 +56,11 @@ indices:
         type: text
       categories_tags:
         type: keyword
+        taxonomy_name: category
         bucket_agg: true
       labels_tags:
         type: keyword
+        taxonomy_name: label
         bucket_agg: true
       countries_tags:
         type: keyword