update stg_orga BE + add orga BE to taux_transfo_prescripteurs

dbt/models/marts/taux_transformation_prescripteurs.sql

@@ -43,6 +43,7 @@ select
     c.*,
     organisations_libelles.libelle  as type_auteur_diagnostic_detaille,
     prescripteurs.type_prescripteur as type_prescripteur,
+    prescripteurs.zone_emploi       as bassin_emploi_prescripteur,
     prescripteurs."nom_département" as "nom_département_prescripteur",
     prescripteurs."région"          as "nom_région_prescripteur",
     case

dbt/models/staging/stg_organisations.sql

@@ -33,10 +33,5 @@ select
 from {{ source('emplois', 'organisations_v0') }} as organisations
 left join {{ ref('organisations_libelles') }} as organisations_libelles
     on organisations.type = organisations_libelles.type
--- (laurine) temporary : this join is made on a cleaned version of organisations.ville
--- and based on a levenshtein distance with the clean libelle_commune of the insee table
--- (cedex and integers are remove and the levenshtein distance helps to ignore typo errors or misleading accents)
--- This is done like this as long as the organisations.ville entries are yet not cleaned
--- but it will be removed when c1 work on adressses will be finished.
 left join {{ ref('stg_insee_appartenance_geo_communes') }} as appartenance_geo_communes
-    on levenshtein(unaccent(regexp_replace(regexp_replace(initcap(ville), ' \d+', '', 'g'), ' Cedex ?', '')), unaccent(appartenance_geo_communes.libelle_commune)) < 1 and ltrim(organisations."département", '0') = appartenance_geo_communes.code_dept
+    on organisations.code_commune = ltrim(appartenance_geo_communes.code_insee, '0')