Pull database logic out of core.py and transaction.py

docker-compose.yml

@@ -8,7 +8,6 @@ services:
     build:
       context: .
       dockerfile: Dockerfile
-    platform: linux/amd64
     environment:
       - APP_HOST=0.0.0.0
       - APP_PORT=8083

stac_fastapi/elasticsearch/stac_fastapi/elasticsearch/core.py

@@ -6,8 +6,6 @@
 from urllib.parse import urljoin
 
 import attr
-import elasticsearch
-from elasticsearch_dsl import Q, Search
 from fastapi import HTTPException
 from overrides import overrides
 
@@ -17,26 +15,17 @@
 from stac_pydantic.shared import MimeTypes
 
 from stac_fastapi.elasticsearch import serializers
-from stac_fastapi.elasticsearch.config import ElasticsearchSettings
+from stac_fastapi.elasticsearch.database_logic import DatabaseLogic
 from stac_fastapi.elasticsearch.session import Session
 
 # from stac_fastapi.elasticsearch.types.error_checks import ErrorChecks
 from stac_fastapi.types.core import BaseCoreClient
-from stac_fastapi.types.errors import NotFoundError
 from stac_fastapi.types.stac import Collection, Collections, Item, ItemCollection
 
 logger = logging.getLogger(__name__)
 
 NumType = Union[float, int]
 
-ITEMS_INDEX = "stac_items"
-COLLECTIONS_INDEX = "stac_collections"
-
-
-def mk_item_id(item_id: str, collection_id: str):
-    """Make the Elasticsearch document _id value from the Item id and collection."""
-    return f"{item_id}|{collection_id}"
-
 
 @attr.s
 class CoreCrudClient(BaseCoreClient):
@@ -49,25 +38,14 @@ class CoreCrudClient(BaseCoreClient):
     collection_serializer: Type[serializers.Serializer] = attr.ib(
         default=serializers.CollectionSerializer
     )
-    settings = ElasticsearchSettings()
-    client = settings.create_client
+    database = DatabaseLogic()
 
     @overrides
     def all_collections(self, **kwargs) -> Collections:
         """Read all collections from the database."""
         base_url = str(kwargs["request"].base_url)
-        try:
-            collections = self.client.search(
-                index=COLLECTIONS_INDEX, query={"match_all": {}}
-            )
-        except elasticsearch.exceptions.NotFoundError:
-            raise NotFoundError("No collections exist")
-        serialized_collections = [
-            self.collection_serializer.db_to_stac(
-                collection["_source"], base_url=base_url
-            )
-            for collection in collections["hits"]["hits"]
-        ]
+        serialized_collections = self.database.get_all_collections(base_url=base_url)
+
         links = [
             {
                 "rel": Relations.root.value,
@@ -94,12 +72,8 @@ def all_collections(self, **kwargs) -> Collections:
     def get_collection(self, collection_id: str, **kwargs) -> Collection:
         """Get collection by id."""
         base_url = str(kwargs["request"].base_url)
-        try:
-            collection = self.client.get(index=COLLECTIONS_INDEX, id=collection_id)
-        except elasticsearch.exceptions.NotFoundError:
-            raise NotFoundError(f"Collection {collection_id} not found")
-
-        return self.collection_serializer.db_to_stac(collection["_source"], base_url)
+        collection = self.database.find_collection(collection_id=collection_id)
+        return self.collection_serializer.db_to_stac(collection, base_url)
 
     @overrides
     def item_collection(
@@ -108,24 +82,10 @@ def item_collection(
         """Read an item collection from the database."""
         links = []
         base_url = str(kwargs["request"].base_url)
-        search = Search(using=self.client, index="stac_items")
 
-        collection_filter = Q(
-            "bool", should=[Q("match_phrase", **{"collection": collection_id})]
+        serialized_children, count = self.database.get_item_collection(
+            collection_id=collection_id, limit=limit, base_url=base_url
         )
-        search = search.query(collection_filter)
-        try:
-            count = search.count()
-        except elasticsearch.exceptions.NotFoundError:
-            raise NotFoundError("No items exist")
-        # search = search.sort({"id.keyword" : {"order" : "asc"}})
-        search = search.query()[0:limit]
-        collection_children = search.execute().to_dict()
-
-        serialized_children = [
-            self.item_serializer.db_to_stac(item["_source"], base_url=base_url)
-            for item in collection_children["hits"]["hits"]
-        ]
 
         context_obj = None
         if self.extension_is_enabled("ContextExtension"):
@@ -146,15 +106,8 @@ def item_collection(
     def get_item(self, item_id: str, collection_id: str, **kwargs) -> Item:
         """Get item by item id, collection id."""
         base_url = str(kwargs["request"].base_url)
-        try:
-            item = self.client.get(
-                index=ITEMS_INDEX, id=mk_item_id(item_id, collection_id)
-            )
-        except elasticsearch.exceptions.NotFoundError:
-            raise NotFoundError(
-                f"Item {item_id} does not exist in Collection {collection_id}"
-            )
-        return self.item_serializer.db_to_stac(item["_source"], base_url)
+        item = self.database.get_one_item(item_id=item_id, collection_id=collection_id)
+        return self.item_serializer.db_to_stac(item, base_url)
 
     @staticmethod
     def _return_date(interval_str):
@@ -238,125 +191,63 @@ def get_search(
 
         return resp
 
-    @staticmethod
-    def bbox2poly(b0, b1, b2, b3):
-        """Transform bbox to polygon."""
-        poly = [[[b0, b1], [b2, b1], [b2, b3], [b0, b3], [b0, b1]]]
-        return poly
-
-    def post_search(self, search_request: Search, **kwargs) -> ItemCollection:
+    def post_search(self, search_request, **kwargs) -> ItemCollection:
         """POST search catalog."""
         base_url = str(kwargs["request"].base_url)
-        search = (
-            Search()
-            .using(self.client)
-            .index(ITEMS_INDEX)
-            .sort(
-                {"properties.datetime": {"order": "desc"}},
-                {"id": {"order": "desc"}},
-                {"collection": {"order": "desc"}},
-            )
-        )
+        search = self.database.create_search_object()
 
         if search_request.query:
             if type(search_request.query) == str:
                 search_request.query = json.loads(search_request.query)
             for (field_name, expr) in search_request.query.items():
                 field = "properties__" + field_name
                 for (op, value) in expr.items():
-                    if op != "eq":
-                        key_filter = {field: {f"{op}": value}}
-                        search = search.query(Q("range", **key_filter))
-                    else:
-                        search = search.query("match_phrase", **{field: value})
+                    search = self.database.create_query_filter(
+                        search=search, op=op, field=field, value=value
+                    )
 
         if search_request.ids:
-            id_list = []
-            for item_id in search_request.ids:
-                id_list.append(Q("match_phrase", **{"id": item_id}))
-            id_filter = Q("bool", should=id_list)
-            search = search.query(id_filter)
+            search = self.database.search_ids(
+                search=search, item_ids=search_request.ids
+            )
 
         if search_request.collections:
-            collection_list = []
-            for collection_id in search_request.collections:
-                collection_list.append(
-                    Q("match_phrase", **{"collection": collection_id})
-                )
-            collection_filter = Q("bool", should=collection_list)
-            search = search.query(collection_filter)
+            search = self.database.search_collections(
+                search=search, collection_ids=search_request.collections
+            )
 
         if search_request.datetime:
             datetime_search = self._return_date(search_request.datetime)
-            if "eq" in datetime_search:
-                search = search.query(
-                    "match_phrase", **{"properties__datetime": datetime_search["eq"]}
-                )
-            else:
-                search = search.filter(
-                    "range", properties__datetime={"lte": datetime_search["lte"]}
-                )
-                search = search.filter(
-                    "range", properties__datetime={"gte": datetime_search["gte"]}
-                )
+            search = self.database.search_datetime(
+                search=search, datetime_search=datetime_search
+            )
 
         if search_request.bbox:
             bbox = search_request.bbox
             if len(bbox) == 6:
                 bbox = [bbox[0], bbox[1], bbox[3], bbox[4]]
-            poly = self.bbox2poly(bbox[0], bbox[1], bbox[2], bbox[3])
-
-            bbox_filter = Q(
-                {
-                    "geo_shape": {
-                        "geometry": {
-                            "shape": {"type": "polygon", "coordinates": poly},
-                            "relation": "intersects",
-                        }
-                    }
-                }
-            )
-            search = search.query(bbox_filter)
+
+            search = self.database.search_bbox(search=search, bbox=bbox)
 
         if search_request.intersects:
-            intersect_filter = Q(
-                {
-                    "geo_shape": {
-                        "geometry": {
-                            "shape": {
-                                "type": search_request.intersects.type.lower(),
-                                "coordinates": search_request.intersects.coordinates,
-                            },
-                            "relation": "intersects",
-                        }
-                    }
-                }
+            self.database.search_intersects(
+                search=search, intersects=search_request.intersects
             )
-            search = search.query(intersect_filter)
 
         if search_request.sortby:
             for sort in search_request.sortby:
                 if sort.field == "datetime":
                     sort.field = "properties__datetime"
                 field = sort.field + ".keyword"
-                search = search.sort({field: {"order": sort.direction}})
+                search = self.database.sort_field(
+                    search=search, field=field, direction=sort.direction
+                )
 
-        try:
-            count = search.count()
-        except elasticsearch.exceptions.NotFoundError:
-            raise NotFoundError("No items exist")
-
-        # search = search.sort({"id.keyword" : {"order" : "asc"}})
-        search = search.query()[0 : search_request.limit]
-        response = search.execute().to_dict()
-
-        if len(response["hits"]["hits"]) > 0:
-            response_features = [
-                self.item_serializer.db_to_stac(item["_source"], base_url=base_url)
-                for item in response["hits"]["hits"]
-            ]
-        else:
-            response_features = []
+        count = self.database.search_count(search=search)
+
+        response_features = self.database.execute_search(
+            search=search, limit=search_request.limit, base_url=base_url
+        )
 
         # if self.extension_is_enabled("FieldsExtension"):
         #     if search_request.query is not None:
@@ -384,7 +275,7 @@ def post_search(self, search_request: Search, **kwargs) -> ItemCollection:
         else:
             limit = 10
             response_features = response_features[0:limit]
-        limit = 10
+
         context_obj = None
         if self.extension_is_enabled("ContextExtension"):
             context_obj = {