Automated snippet conversion by scripts

These changes are purely mechanical to differentiate them from manual
fixes/adjustments made in the next commit.
This results in broken code as some snippets contain errors.

Made in four steps:
1. Run ./migrate-snippet.py that converts `.md` files to code files
   and perhaps adds missing lines under `// @hide` comments.
2. Sort Java imports.
3. Remove old `.md` files.
4. Run ./generate.md to produce `*/generated/*.md` files.

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/csharp.cs

@@ -0,0 +1,25 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		var client = new QdrantClient("localhost", 6334);
+
+		await client.QueryAsync(
+		    collectionName: "{collection_name}",
+		    query: new RecommendInput {
+		        Positive = { 100, 231 },
+		        Negative = { 718 }
+		    },
+		    usingVector: "image",
+		    limit: 10,
+		    lookupFrom: new LookupLocation
+		    {
+		        CollectionName = "{external_collection_name}",
+		        VectorName = "{external_vector_name}",
+		    }
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/generated/java.md

@@ -1,12 +1,11 @@
 ```java
-import java.util.List;
+import static io.qdrant.client.QueryFactory.recommend;
+import static io.qdrant.client.VectorInputFactory.vectorInput;
 
 import io.qdrant.client.grpc.Points.LookupLocation;
 import io.qdrant.client.grpc.Points.QueryPoints;
 import io.qdrant.client.grpc.Points.RecommendInput;
-
-import static io.qdrant.client.VectorInputFactory.vectorInput;
-import static io.qdrant.client.QueryFactory.recommend;
+import java.util.List;
 
 client.queryAsync(QueryPoints.newBuilder()
         .setCollectionName("{collection_name}")

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/go.go

@@ -0,0 +1,32 @@
+package snippet
+
+import (
+    "context"
+
+    "github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	client, err := qdrant.NewClient(&qdrant.Config{
+	    Host: "localhost",
+	    Port: 6334,
+	})
+
+	client.Query(context.Background(), &qdrant.QueryPoints{
+	    CollectionName: "{collection_name}",
+	    Query: qdrant.NewQueryRecommend(&qdrant.RecommendInput{
+	        Positive: []*qdrant.VectorInput{
+	            qdrant.NewVectorInputID(qdrant.NewIDNum(100)),
+	            qdrant.NewVectorInputID(qdrant.NewIDNum(231)),
+	        },
+	        Negative: []*qdrant.VectorInput{
+	            qdrant.NewVectorInputID(qdrant.NewIDNum(718)),
+	        },
+	    }),
+	    Using: qdrant.PtrOf("image"),
+	    LookupFrom: &qdrant.LookupLocation{
+	        CollectionName: "{external_collection_name}",
+	        VectorName:     qdrant.PtrOf("{external_vector_name}"),
+	    },
+	})
+}

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/java.java

@@ -0,0 +1,28 @@
+package com.example.snippets_amalgamation;
+
+import static io.qdrant.client.QueryFactory.recommend;
+import static io.qdrant.client.VectorInputFactory.vectorInput;
+
+import io.qdrant.client.grpc.Points.LookupLocation;
+import io.qdrant.client.grpc.Points.QueryPoints;
+import io.qdrant.client.grpc.Points.RecommendInput;
+import java.util.List;
+
+public class Snippet {
+        public static void run() throws Exception {
+                client.queryAsync(QueryPoints.newBuilder()
+                        .setCollectionName("{collection_name}")
+                        .setQuery(recommend(RecommendInput.newBuilder()
+                                .addAllPositive(List.of(vectorInput(100), vectorInput(231)))
+                                .addAllNegative(List.of(vectorInput(718)))
+                                .build()))
+                        .setUsing("image")
+                        .setLimit(10)
+                        .setLookupFrom(
+                                LookupLocation.newBuilder()
+                                        .setCollectionName("{external_collection_name}")
+                                        .setVectorName("{external_vector_name}")
+                                        .build())
+                        .build()).get();
+        }
+}

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/python.py

@@ -0,0 +1,18 @@
+from qdrant_client import QdrantClient, models  # @hide
+
+client = QdrantClient(url="http://localhost:6333")  # @hide
+
+client.query_points(
+    collection_name="{collection_name}",
+    query=models.RecommendQuery(
+        recommend=models.RecommendInput(
+            positive=[100, 231],
+            negative=[718],
+        )
+    ),
+    using="image",
+    limit=10,
+    lookup_from=models.LookupLocation(
+        collection="{external_collection_name}", vector="{external_vector_name}"
+    ),
+)

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/rust.rs

@@ -0,0 +1,24 @@
+use qdrant_client::qdrant::{LookupLocationBuilder, QueryPointsBuilder, RecommendInputBuilder};
+
+pub async fn main() -> anyhow::Result<()> {
+    client
+        .query(
+            QueryPointsBuilder::new("{collection_name}")
+                .query(
+                    RecommendInputBuilder::default()
+                        .add_positive(100)
+                        .add_positive(231)
+                        .add_negative(718)
+                        .build(),
+                )
+                .limit(10)
+                .using("image")
+                .lookup_from(
+                    LookupLocationBuilder::new("{external_collection_name}")
+                        .vector_name("{external_vector_name}"),
+                ),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/query-points-explore/recommend-lookup-from/typescript.ts

@@ -0,0 +1,18 @@
+import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
+
+const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
+
+client.query("{collection_name}", {
+    query: {
+        recommend: {
+            positive: [100, 231],
+            negative: [718],
+        }
+    },
+    using: "image",
+    limit: 10,
+    lookup_from: {
+        collection: "{external_collection_name}",
+        vector: "{external_vector_name}"
+    }
+});