remove db logic

Author: jonhealy1

stac_fastapi/core/stac_fastapi/core/core.py

@@ -1,7 +1,6 @@
 """Item crud client."""
 import logging
 import re
-from base64 import urlsafe_b64encode
 from datetime import datetime as datetime_type
 from datetime import timezone
 from typing import Any, Dict, List, Optional, Set, Type, Union
@@ -193,66 +192,36 @@ async def landing_page(self, **kwargs) -> stac_types.LandingPage:
     async def all_collections(self, **kwargs) -> Collections:
         """Read all collections from the database.
 
-        Returns:
-            Collections: A `Collections` object containing all the collections in the database and
-                links to various resources.
+        Args:
+            **kwargs: Keyword arguments from the request.
 
-        Raises:
-            Exception: If any error occurs while reading the collections from the database.
+        Returns:
+            A Collections object containing all the collections in the database and links to various resources.
         """
-        request: Request = kwargs["request"]
-        base_url = str(kwargs["request"].base_url)
+        request = kwargs["request"]
+        base_url = str(request.base_url)
+        limit = int(request.query_params.get("limit", 10))
+        token = request.query_params.get("token")
 
-        limit = (
-            int(request.query_params["limit"])
-            if "limit" in request.query_params
-            else 10
-        )
-        token = (
-            request.query_params["token"] if "token" in request.query_params else None
+        collections, next_token = await self.database.get_all_collections(
+            token=token, limit=limit
         )
 
-        hits = await self.database.get_all_collections(limit=limit, token=token)
-
-        next_search_after = None
-        next_link = None
-        if len(hits) == limit:
-            last_hit = hits[-1]
-            next_search_after = last_hit["sort"]
-            next_token = urlsafe_b64encode(
-                ",".join(map(str, next_search_after)).encode()
-            ).decode()
-            paging_links = PagingLinks(next=next_token, request=request)
-            next_link = paging_links.link_next()
-
         links = [
-            {
-                "rel": Relations.root.value,
-                "type": MimeTypes.json,
-                "href": base_url,
-            },
-            {
-                "rel": Relations.parent.value,
-                "type": MimeTypes.json,
-                "href": base_url,
-            },
+            {"rel": Relations.root.value, "type": MimeTypes.json, "href": base_url},
+            {"rel": Relations.parent.value, "type": MimeTypes.json, "href": base_url},
             {
                 "rel": Relations.self.value,
                 "type": MimeTypes.json,
-                "href": urljoin(base_url, "collections"),
+                "href": f"{base_url}collections",
             },
         ]
 
-        if next_link:
+        if next_token:
+            next_link = PagingLinks(next=next_token, request=request).link_next()
             links.append(next_link)
 
-        return Collections(
-            collections=[
-                self.collection_serializer.db_to_stac(c["_source"], base_url=base_url)
-                for c in hits
-            ],
-            links=links,
-        )
+        return Collections(collections=collections, links=links)
 
     async def get_collection(self, collection_id: str, **kwargs) -> Collection:
         """Get a collection from the database by its id.

stac_fastapi/elasticsearch/stac_fastapi/elasticsearch/database_logic.py

@@ -291,32 +291,37 @@ class DatabaseLogic:
 
     async def get_all_collections(
         self, token: Optional[str], limit: int
-    ) -> Iterable[Dict[str, Any]]:
-        """Retrieve a list of all collections from the database.
+    ) -> Tuple[List[Dict[str, Any]], Optional[str]]:
+        """Retrieve a list of all collections from Elasticsearch, supporting pagination.
 
         Args:
-            token (Optional[str]): The token used to return the next set of results.
-            limit (int): Number of results to return
+            token (Optional[str]): The pagination token.
+            limit (int): The number of results to return.
 
         Returns:
-            collections (Iterable[Dict[str, Any]]): A list of dictionaries containing the source data for each collection.
-
-        Notes:
-            The collections are retrieved from the Elasticsearch database using the `client.search` method,
-            with the `COLLECTIONS_INDEX` as the target index and `size=limit` to retrieve records.
-            The result is a generator of dictionaries containing the source data for each collection.
+            A tuple of (collections, next pagination token if any).
         """
         search_after = None
         if token:
-            search_after = urlsafe_b64decode(token.encode()).decode().split(",")
-        collections = await self.client.search(
+            search_after = [token]
+
+        response = await self.client.search(
             index=COLLECTIONS_INDEX,
-            search_after=search_after,
-            size=limit,
-            sort={"id": {"order": "asc"}},
+            body={
+                "sort": [{"id": {"order": "asc"}}],
+                "size": limit,
+                "search_after": search_after,
+            },
         )
-        hits = collections["hits"]["hits"]
-        return hits
+
+        hits = response["hits"]["hits"]
+        collections = [hit["_source"] for hit in hits]
+
+        next_token = None
+        if len(hits) == limit:
+            next_token = hits[-1]["sort"][0]
+
+        return collections, next_token
 
     async def get_one_item(self, collection_id: str, item_id: str) -> Dict:
         """Retrieve a single item from the database.

stac_fastapi/opensearch/stac_fastapi/opensearch/database_logic.py

@@ -311,36 +311,44 @@ class DatabaseLogic:
     """CORE LOGIC"""
 
     async def get_all_collections(
-        self,
-        token: Optional[str],
-        limit: int,
-    ) -> Iterable[Dict[str, Any]]:
-        """Retrieve a list of all collections from the database.
+        self, token: Optional[str], limit: int
+    ) -> Tuple[List[Dict[str, Any]], Optional[str]]:
+        """
+        Retrieve a list of all collections from Elasticsearch, supporting pagination.
 
         Args:
-            token (Optional[str]): The token used to return the next set of results.
-            limit (int): Number of results to return
+            token (Optional[str]): The pagination token.
+            limit (int): The number of results to return.
 
         Returns:
-            collections (Iterable[Dict[str, Any]]): A list of dictionaries containing the source data for each collection.
-
-        Notes:
-            The collections are retrieved from the Elasticsearch database using the `client.search` method,
-            with the `COLLECTIONS_INDEX` as the target index and `size=limit` to retrieve records.
-            The result is a generator of dictionaries containing the source data for each collection.
+            A tuple of (collections, next pagination token if any).
         """
-        search_body: Dict[str, Any] = {}
+        search_body = {
+            "sort": [{"id": {"order": "asc"}}],
+            "size": limit,
+        }
+
+        # Only add search_after to the query if token is not None and not empty
         if token:
-            search_after = urlsafe_b64decode(token.encode()).decode().split(",")
+            search_after = [token]
             search_body["search_after"] = search_after
 
-        search_body["sort"] = {"id": {"order": "asc"}}
-
-        collections = await self.client.search(
-            index=COLLECTIONS_INDEX, body=search_body, size=limit
+        response = await self.client.search(
+            index="collections",
+            body=search_body,
         )
-        hits = collections["hits"]["hits"]
-        return hits
+
+        hits = response["hits"]["hits"]
+        collections = [hit["_source"] for hit in hits]
+
+        next_token = None
+        if len(hits) == limit:
+            # Ensure we have a valid sort value for next_token
+            next_token_values = hits[-1].get("sort")
+            if next_token_values:
+                next_token = next_token_values[0]
+
+        return collections, next_token
 
     async def get_one_item(self, collection_id: str, item_id: str) -> Dict:
         """Retrieve a single item from the database.