HTTP API: Search (infiniflow#870)

### What problem does this PR solve?

1. Filter, output, knn is OK. But output vector and match doens't work.
2. Fix hello_infinity.py

Issue link:infiniflow#779

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>

Author: JinHai-CN

docs/references/http_api_reference.md

@@ -618,11 +618,11 @@ curl --request PUT \
     --header 'content-type: application/json' \
     --data ' \
 {
-    update:
+    "update":
     {
         "score": 95
     },
-    filter: "age > 15"
+    "filter": "age > 15"
 } '
 ```
 
@@ -646,9 +646,9 @@ curl --request PUT \
 }
 ```
 
-## Select
+## Search
 
-Selects data from a specified table.
+Search data from a specified table.
 
 #### Request
 
@@ -659,44 +659,30 @@ curl --request GET \
     --header 'content-type: application/json' \
     --data ' \
 {
-    output:
+    "output":
     [
         "name",
         "age"
     ],
-    filter: "age > 15",
-    fusion: 
+    "filter": "age > 15",
+    "fusion": 
     {
-        method: "rrf",
-        match:
+        "method": "rrf",
+        "match":
         {
-            "title": 
-            {
-                "query": "rock fire",
-                "operator": "and"
-            }
+            "fields": "title", 
+            "query": "rock fire",
+            "operator": "and"
         }
-        knn:
+        "knn":
         {
-            "vector_column":
-            {
-                "query_vector": [1.0, 2.0],
-                "ef" : 150,
-                "top_k": 3
-            }
+            "fields": "vector_column",
+            "query_vector": [1.0, 2.0],
+            "ef" : "150",
+            "top_k": 3,
+            "metric_type": L2
         }
     }
-    knn: 
-    {
-        vector: 
-        [
-            0.1,
-            0.2,
-            0.3,
-            0.4,
-        ],
-        top: 1
-    }
 } '
 ```
 

python/hello_infinity.py

@@ -16,23 +16,21 @@
 import infinity
 import infinity.index as index
 from infinity.common import REMOTE_HOST
+from infinity.common import ConflictType
 import pandas as pds
 
 
 def main():
     infinity_obj = infinity.connect(REMOTE_HOST)
     db = infinity_obj.get_database("default")
-    db.drop_table("my_table", if_exists=True)
-    table = db.create_table(
-        "my_table", {"num": "integer", "body": "varchar", "vec": "vector,5,float"}, None)
-    table.insert(
-        [{"num": 1, "body": "undesirable, unnecessary, and harmful", "vec": [1.0] * 5}])
-    table.insert(
-        [{"num": 2, "body": "publisher=US National Office for Harmful Algal Blooms", "vec": [4.0] * 5}])
-    table.insert(
-        [{"num": 3, "body": "in the case of plants, growth and chemical", "vec": [7.0] * 5}])
-
-    res = table.output(["*"]).knn("vec", [3.0] * 5, "float", "ip", 2).to_pl()
+    # Drop my_table if it already exists
+    db.drop_table("my_table", ConflictType.Ignore)
+    # Create a table named "my_table"
+    table = db.create_table("my_table", {"num": "integer", "body": "varchar", "vec": "vector, 4, float"})
+    table.insert([{"num": 1, "body": "unnecessary and harmful", "vec": [1.0, 1.2, 0.8, 0.9]}])
+    table.insert([{"num": 2, "body": "Office for Harmful Blooms", "vec": [4.0, 4.2, 4.3, 4.5]}])
+
+    res = table.output(["*"]).knn("vec", [3.0, 2.8, 2.7, 3.1], "float", "ip", 2).to_pl()
     print(res)
 
 
@@ -41,21 +39,18 @@ def test():
         infinity_obj = infinity.connect(REMOTE_HOST)
         db = infinity_obj.get_database("default")
         # Drop my_table if it already exists
-        db.drop_table("my_table", if_exists=True)
+        db.drop_table("my_table", ConflictType.Ignore)
         # Create a table named "my_table"
-        table = db.create_table("my_table", {
-            "num": "integer", "body": "varchar", "vec": "vector, 4, float"}, None)
-        table.insert(
-            [{"num": 1, "body": "unnecessary and harmful", "vec": [1.0, 1.2, 0.8, 0.9]}])
-        table.insert(
-            [{"num": 2, "body": "Office for Harmful Blooms", "vec": [4.0, 4.2, 4.3, 4.5]}])
+        table = db.create_table("my_table", {"num": "integer", "body": "varchar", "vec": "vector, 4, float"})
+        table.insert([{"num": 1, "body": "unnecessary and harmful", "vec": [1.0, 1.2, 0.8, 0.9]}])
+        table.insert([{"num": 2, "body": "Office for Harmful Blooms", "vec": [4.0, 4.2, 4.3, 4.5]}])
 
         # `create_index()` is required before match() or fusion()
-        # res = table.create_index("my_index",
-        #                          [index.IndexInfo("body",
-        #                                           index.IndexType.FullText,
-        #                                           [index.InitParameter("ANALYZER", "segmentation")]),
-        #                           ], None)
+        res = table.create_index("my_index",
+                                 [index.IndexInfo("body",
+                                                  index.IndexType.FullText,
+                                                  [index.InitParameter("ANALYZER", "segmentation")]),
+                                  ], ConflictType.Error)
         # assert res.success
 
         res = table.output(["num", "body"]).knn(
@@ -97,5 +92,5 @@ def test():
 
 
 if __name__ == '__main__':
-    # main()
+    main()
     test()

src/CMakeLists.txt

@@ -231,6 +231,8 @@ add_executable(infinity
         ${network_cpp}
         network/http_server.cppm
         network/http_server.cpp
+        network/http/http_search.cppm
+        network/http/http_search.cpp
 )
 
 target_sources(infinity