Returning GVL.JSON through Experiences API

src/fides/api/api/v1/endpoints/privacy_experience_endpoints.py

@@ -34,7 +34,11 @@
     get_fides_user_device_id_provided_identity,
 )
 from fides.api.util.endpoint_utils import fides_limiter, transform_fields
-from fides.api.util.tcf_util import TCF_COMPONENT_MAPPING, TCFExperienceContents
+from fides.api.util.tcf_util import (
+    TCF_COMPONENT_MAPPING,
+    TCFExperienceContents,
+    load_gvl,
+)
 from fides.common.api.v1 import urn_registry as urls
 from fides.config import CONFIG
 
@@ -264,6 +268,9 @@ def embed_experience_details(
     has_tcf_contents: bool = any(
         getattr(tcf_contents, component) for component in TCF_COMPONENT_MAPPING
     )
+    if has_tcf_contents:
+        privacy_experience.gvl = load_gvl()
+
     # Add fetched TCF contents to the Privacy Experience if applicable
     for component in TCF_COMPONENT_MAPPING:
         setattr(privacy_experience, component, getattr(tcf_contents, component))

src/fides/api/models/privacy_experience.py

@@ -223,6 +223,7 @@ class PrivacyExperience(Base):
     tcf_features: List = []
     tcf_special_features: List = []
     tcf_systems: List = []
+    gvl: Optional[Dict] = {}
 
     # Attribute that is cached on the PrivacyExperience object by "get_should_show_banner", calculated at runtime
     show_banner: bool

src/fides/api/schemas/privacy_experience.py

@@ -217,3 +217,4 @@ class PrivacyExperienceResponse(PrivacyExperienceWithId):
     experience_config: Optional[ExperienceConfigResponse] = Field(
         description="The Experience copy or language"
     )
+    gvl: Optional[Dict] = None

src/fides/api/util/tcf_util.py

@@ -1,4 +1,6 @@
+import json
 from enum import Enum
+from os.path import dirname, join
 from typing import Callable, Dict, List, Optional, Set, Tuple, Type, Union
 
 from fideslang.gvl import (
@@ -14,6 +16,7 @@
 from fideslang.gvl.models import Feature, Purpose
 from fideslang.models import LegalBasisForProcessingEnum
 from fideslang.validation import FidesKey
+from loguru import logger
 from sqlalchemy.engine.row import Row  # type:ignore[import]
 from sqlalchemy.orm import Query, Session
 
@@ -27,6 +30,16 @@
     TCFPurposeRecord,
     TCFVendorRecord,
 )
+from fides.config.helpers import load_file
+
+_gvl: Optional[Dict] = None
+
+GVL_PATH = join(
+    dirname(__file__),
+    "../../data",
+    "gvl.json",
+)
+
 
 TCFPurposeOrFeature = Union[TCFPurposeRecord, TCFFeatureRecord]
 
@@ -614,3 +627,15 @@ def systems_that_match_system_id(
             )
         }
     )
+
+
+def load_gvl() -> Dict:
+    global _gvl  # pylint: disable=W0603
+    if _gvl is None:
+        with open(load_file([GVL_PATH]), "r", encoding="utf-8") as file:
+            logger.info("Loading GVL from file")
+            _gvl = json.load(file)
+            return _gvl
+
+    logger.info("Loading GVL from memory")
+    return _gvl