From c1446520b1339bc557fb144490d7c7892d3c580a Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 6 Sep 2023 13:08:16 +0800
Subject: [PATCH 1/6] fix: fix spark edge writer

close: #41
---
 examples/spark_engine.ipynb | 104 +++++++++++++++++++++++++++++++++++-
 ng_ai/nebula_writer.py      |  16 +++---
 2 files changed, 111 insertions(+), 9 deletions(-)

diff --git a/examples/spark_engine.ipynb b/examples/spark_engine.ipynb
index 892a67b..1cfb69a 100644
--- a/examples/spark_engine.ipynb
+++ b/examples/spark_engine.ipynb
@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "a54fe998",
    "metadata": {},
@@ -90,6 +91,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "3617de5f",
    "metadata": {},
@@ -176,6 +178,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "66e70ca0",
    "metadata": {},
@@ -212,6 +215,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "3eb228f8",
    "metadata": {},
@@ -262,6 +266,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "49becbdb",
    "metadata": {},
@@ -339,6 +344,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "38181d45",
    "metadata": {},
@@ -375,11 +381,12 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "3d088006",
    "metadata": {},
    "source": [
-    "### Write back algo result to NebulaGraph\n",
+    "### Write back algo result to NebulaGraph as TAG\n",
     "\n",
     "Assume that we have a Spark DataFrame `df_result` computed with `df.algo.label_propagation()` with the following schema:\n",
     "\n",
@@ -541,6 +548,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "9da30271",
    "metadata": {},
@@ -576,6 +584,100 @@
    ]
   },
   {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "670bd34b",
+   "metadata": {},
+   "source": [
+    "### Result being written as edge\n",
+    "\n",
+    "Similar to TAG, we first need to ensure to create schema first\n",
+    "\n",
+    "```\n",
+    "CREATE EDGE jaccard_similarity(similarity double);\n",
+    "```\n",
+    "\n",
+    "Then we run a algorithm writting results to edge:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "493cc969",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run Jaccard Algorithm\n",
+    "df_result = df.algo.jaccard()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "b9e76ef2",
+   "metadata": {},
+   "source": [
+    "Then let's write the result to NebulaGraph, map the column `similarity` to `similarity`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0e91af7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "writer = NebulaWriter(data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\")\n",
+    "\n",
+    "# map column louvain into property cluster_id\n",
+    "properties = {\n",
+    "    \"similarity\": \"similarity\"\n",
+    "}\n",
+    "\n",
+    "writer.set_options(\n",
+    "    space=\"basketballplayer\",\n",
+    "    type='edge',\n",
+    "    edge_type=\"jaccard_similarity\",\n",
+    "    src_id=\"srcId\",\n",
+    "    dst_id=\"dstId\",\n",
+    "    src_id_policy=\"\",\n",
+    "    dst_id_policy=\"\",\n",
+    "    properties=properties,\n",
+    "    batch_size=256,\n",
+    "    write_mode=\"insert\",\n",
+    ")\n",
+    "\n",
+    "# write back to NebulaGraph\n",
+    "writer.write()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "8165fec9",
+   "metadata": {},
+   "source": [
+    "Check result:\n",
+    "\n",
+    "```\n",
+    "(root@nebula) [basketballplayer]> MATCH ()-[e:jaccard_similarity]->() RETURN e LIMIT 3\n",
+    "+-------------------------------------------------------------------------------------+\n",
+    "| e                                                                                   |\n",
+    "+-------------------------------------------------------------------------------------+\n",
+    "| [:jaccard_similarity \"player102\"->\"player100\" @0 {similarity: 0.07692307692307687}] |\n",
+    "| [:jaccard_similarity \"player102\"->\"player101\" @0 {similarity: 0.11111111111111116}] |\n",
+    "| [:jaccard_similarity \"player102\"->\"player104\" @0 {similarity: 0.33333333333333326}] |\n",
+    "+-------------------------------------------------------------------------------------+\n",
+    "Got 3 rows (time spent 39.984ms/44.574542ms)\n",
+    "\n",
+    "Wed, 06 Sep 2023 13:04:38 CST\n",
+    "\n",
+    "(root@nebula) [basketballplayer]>\n",
+    "```"
+   ]
+  },
+  {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "5bcb02e2",
    "metadata": {},
diff --git a/ng_ai/nebula_writer.py b/ng_ai/nebula_writer.py
index 6cc33f2..6f07787 100644
--- a/ng_ai/nebula_writer.py
+++ b/ng_ai/nebula_writer.py
@@ -236,16 +236,16 @@ def _set_options_with_nebula(self, **kwargs):
             assert isinstance(
                 src_id, str
             ), f"src_id should be a string, but got {type(src_id)}"
-            writer.option("srcId", src_id)
-            self._options["srcId"] = src_id
+            writer.option("srcVertexField", src_id)
+            self._options["srcVertexField"] = src_id
 
             # dstId setting, by default, it's dstId, must be a string
             dst_id = kwargs.get("dst_id", "dstId")
             assert isinstance(
                 dst_id, str
             ), f"dst_id should be a string, but got {type(dst_id)}"
-            writer.option("dstId", dst_id)
-            self._options["dstId"] = dst_id
+            writer.option("dstVertexField", dst_id)
+            self._options["dstVertexField"] = dst_id
 
             # srcIdPolicy setting, by default, it's empty, accept hash or uuid, too
             src_id_policy = kwargs.get("src_id_policy", "")
@@ -254,8 +254,8 @@ def _set_options_with_nebula(self, **kwargs):
                 "hash",
                 "uuid",
             ], f"id_policy valid value: [empty, hash, uuid], got {src_id_policy}"
-            writer.option("srcIdPolicy", src_id_policy)
-            self._options["srcIdPolicy"] = src_id_policy
+            writer.option("srcPolicy", src_id_policy)
+            self._options["srcPolicy"] = src_id_policy
 
             # dstIdPolicy setting, by default, it's empty, accept hash or uuid, too
             dst_id_policy = kwargs.get("dst_id_policy", "")
@@ -264,8 +264,8 @@ def _set_options_with_nebula(self, **kwargs):
                 "hash",
                 "uuid",
             ], f"id_policy valid value: [empty, hash, uuid], got {dst_id_policy}"
-            writer.option("dstIdPolicy", dst_id_policy)
-            self._options["dstIdPolicy"] = dst_id_policy
+            writer.option("dstPolicy", dst_id_policy)
+            self._options["dstPolicy"] = dst_id_policy
 
             # randkField setting, by default, it's empty, must be a string
             rank_field = kwargs.get("rank_field", "")

From d2838a96c2ecfd192f219f5f59ef2aa6bf35b421 Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 6 Sep 2023 13:16:26 +0800
Subject: [PATCH 2/6] test: add e2e test for spark writer

---
 examples/ng_ai_networkx_plot.ipynb            | 137 ++++++++++++++----
 examples/spark_engine.ipynb                   |  10 +-
 ng_ai/engines.py                              |   4 +-
 ng_ai/nebula_algo.py                          |  16 +-
 ng_ai/ng_ai_api/app.py                        |   4 +-
 .../integration/spark_engine_cases/writer.py  |  27 ++++
 tests/integration/test_e2e_networkx_engine.py |   4 +-
 tests/unit/spark_engine/test_nebula_writer.py |   4 +-
 8 files changed, 151 insertions(+), 55 deletions(-)

diff --git a/examples/ng_ai_networkx_plot.ipynb b/examples/ng_ai_networkx_plot.ipynb
index 4003da2..25c4ab9 100644
--- a/examples/ng_ai_networkx_plot.ipynb
+++ b/examples/ng_ai_networkx_plot.ipynb
@@ -60,7 +60,7 @@
     "config = NebulaGraphConfig(**config_dict)\n",
     "reader = NebulaReader(engine=\"nebula\", config=config)\n",
     "reader.query(edges=[\"follow\", \"serve\"], props=[[\"degree\"], []])\n",
-    "g = reader.read()\n"
+    "g = reader.read()"
    ]
   },
   {
@@ -151,7 +151,21 @@
     "import matplotlib.pyplot as plt\n",
     "import random\n",
     "\n",
-    "def draw_graph(G, colors=[\"#1984c5\", \"#22a7f0\", \"#63bff0\", \"#a7d5ed\", \"#e2e2e2\", \"#e1a692\", \"#de6e56\", \"#e14b31\", \"#c23728\"]):\n",
+    "\n",
+    "def draw_graph(\n",
+    "    G,\n",
+    "    colors=[\n",
+    "        \"#1984c5\",\n",
+    "        \"#22a7f0\",\n",
+    "        \"#63bff0\",\n",
+    "        \"#a7d5ed\",\n",
+    "        \"#e2e2e2\",\n",
+    "        \"#e1a692\",\n",
+    "        \"#de6e56\",\n",
+    "        \"#e14b31\",\n",
+    "        \"#c23728\",\n",
+    "    ],\n",
+    "):\n",
     "    # Define positions for the nodes\n",
     "    pos = nx.spring_layout(G)\n",
     "\n",
@@ -163,35 +177,57 @@
     "    # Draw the nodes and edges of the graph\n",
     "    node_colors = {}\n",
     "    for node in G.nodes():\n",
-    "        if 'label' in G.nodes[node]:\n",
-    "            label = G.nodes[node]['label']\n",
+    "        if \"label\" in G.nodes[node]:\n",
+    "            label = G.nodes[node][\"label\"]\n",
     "        else:\n",
-    "            label = ''\n",
+    "            label = \"\"\n",
     "        if label in node_colors:\n",
     "            node_color = node_colors[label]\n",
     "        else:\n",
     "            node_color = random.choice(colors)\n",
     "            node_colors[label] = node_color\n",
-    "        nx.draw_networkx_nodes(G, pos=pos, ax=ax, nodelist=[node], node_color=node_color, node_size=4000)\n",
-    "    \n",
-    "    nx.draw_networkx_edges(G, pos=pos, ax=ax, edge_color='gray', width=2, connectionstyle='arc3, rad=0.1', arrowstyle='-|>', arrows=True)\n",
+    "        nx.draw_networkx_nodes(\n",
+    "            G, pos=pos, ax=ax, nodelist=[node], node_color=node_color, node_size=4000\n",
+    "        )\n",
+    "\n",
+    "    nx.draw_networkx_edges(\n",
+    "        G,\n",
+    "        pos=pos,\n",
+    "        ax=ax,\n",
+    "        edge_color=\"gray\",\n",
+    "        width=2,\n",
+    "        connectionstyle=\"arc3, rad=0.1\",\n",
+    "        arrowstyle=\"-|>\",\n",
+    "        arrows=True,\n",
+    "    )\n",
     "\n",
     "    # Extract edge labels as a dictionary\n",
-    "    edge_labels = nx.get_edge_attributes(G, 'label')\n",
+    "    edge_labels = nx.get_edge_attributes(G, \"label\")\n",
     "\n",
     "    # Add edge labels to the graph\n",
     "    for edge, label in edge_labels.items():\n",
-    "        ax.text((pos[edge[0]][0] + pos[edge[1]][0])/2,\n",
-    "                (pos[edge[0]][1] + pos[edge[1]][1])/2,\n",
-    "                label, fontsize=12, color='black', ha='center', va='center')\n",
+    "        ax.text(\n",
+    "            (pos[edge[0]][0] + pos[edge[1]][0]) / 2,\n",
+    "            (pos[edge[0]][1] + pos[edge[1]][1]) / 2,\n",
+    "            label,\n",
+    "            fontsize=12,\n",
+    "            color=\"black\",\n",
+    "            ha=\"center\",\n",
+    "            va=\"center\",\n",
+    "        )\n",
     "\n",
     "    # Add node labels to the graph\n",
-    "    node_labels = {n: G.nodes[n]['label'] if 'label' in G.nodes[n] else n for n in G.nodes()}\n",
-    "    nx.draw_networkx_labels(G, pos=pos, ax=ax, labels=node_labels, font_size=12, font_color='black')\n",
+    "    node_labels = {\n",
+    "        n: G.nodes[n][\"label\"] if \"label\" in G.nodes[n] else n for n in G.nodes()\n",
+    "    }\n",
+    "    nx.draw_networkx_labels(\n",
+    "        G, pos=pos, ax=ax, labels=node_labels, font_size=12, font_color=\"black\"\n",
+    "    )\n",
     "\n",
     "    # Show the figure\n",
     "    plt.show()\n",
     "\n",
+    "\n",
     "draw_graph(G)"
    ]
   },
@@ -243,7 +279,22 @@
     "from matplotlib.colors import ListedColormap\n",
     "\n",
     "\n",
-    "def draw_graph_louvain_pr(G, pr_result, louvain_result, colors=[\"#1984c5\", \"#22a7f0\", \"#63bff0\", \"#a7d5ed\", \"#e2e2e2\", \"#e1a692\", \"#de6e56\", \"#e14b31\", \"#c23728\"]):\n",
+    "def draw_graph_louvain_pr(\n",
+    "    G,\n",
+    "    pr_result,\n",
+    "    louvain_result,\n",
+    "    colors=[\n",
+    "        \"#1984c5\",\n",
+    "        \"#22a7f0\",\n",
+    "        \"#63bff0\",\n",
+    "        \"#a7d5ed\",\n",
+    "        \"#e2e2e2\",\n",
+    "        \"#e1a692\",\n",
+    "        \"#de6e56\",\n",
+    "        \"#e14b31\",\n",
+    "        \"#c23728\",\n",
+    "    ],\n",
+    "):\n",
     "    # Define positions for the nodes\n",
     "    pos = nx.spring_layout(G)\n",
     "\n",
@@ -258,28 +309,62 @@
     "    # Draw the nodes and edges of the graph\n",
     "    node_colors = [louvain_result[node] for node in G.nodes()]\n",
     "    node_sizes = [70000 * pr_result[node] for node in G.nodes()]\n",
-    "    nx.draw_networkx_nodes(G, pos=pos, ax=ax, node_color=node_colors, node_size=node_sizes, cmap=cmap, vmin=0, vmax=max(louvain_result.values()))\n",
+    "    nx.draw_networkx_nodes(\n",
+    "        G,\n",
+    "        pos=pos,\n",
+    "        ax=ax,\n",
+    "        node_color=node_colors,\n",
+    "        node_size=node_sizes,\n",
+    "        cmap=cmap,\n",
+    "        vmin=0,\n",
+    "        vmax=max(louvain_result.values()),\n",
+    "    )\n",
     "\n",
-    "    nx.draw_networkx_edges(G, pos=pos, ax=ax, edge_color='gray', width=1, connectionstyle='arc3, rad=0.2', arrowstyle='-|>', arrows=True)\n",
+    "    nx.draw_networkx_edges(\n",
+    "        G,\n",
+    "        pos=pos,\n",
+    "        ax=ax,\n",
+    "        edge_color=\"gray\",\n",
+    "        width=1,\n",
+    "        connectionstyle=\"arc3, rad=0.2\",\n",
+    "        arrowstyle=\"-|>\",\n",
+    "        arrows=True,\n",
+    "    )\n",
     "\n",
     "    # Extract edge labels as a dictionary\n",
-    "    edge_labels = nx.get_edge_attributes(G, 'label')\n",
+    "    edge_labels = nx.get_edge_attributes(G, \"label\")\n",
     "\n",
     "    # Add edge labels to the graph\n",
     "    for edge, label in edge_labels.items():\n",
-    "        ax.text((pos[edge[0]][0] + pos[edge[1]][0])/2,\n",
-    "                (pos[edge[0]][1] + pos[edge[1]][1])/2,\n",
-    "                label, fontsize=12, color='black', ha='center', va='center')\n",
+    "        ax.text(\n",
+    "            (pos[edge[0]][0] + pos[edge[1]][0]) / 2,\n",
+    "            (pos[edge[0]][1] + pos[edge[1]][1]) / 2,\n",
+    "            label,\n",
+    "            fontsize=12,\n",
+    "            color=\"black\",\n",
+    "            ha=\"center\",\n",
+    "            va=\"center\",\n",
+    "        )\n",
     "\n",
     "    # Add node labels to the graph\n",
-    "    node_labels = {n: G.nodes[n]['label'] if 'label' in G.nodes[n] else n for n in G.nodes()}\n",
-    "    nx.draw_networkx_labels(G, pos=pos, ax=ax, labels=node_labels, font_size=12, font_color='black')\n",
+    "    node_labels = {\n",
+    "        n: G.nodes[n][\"label\"] if \"label\" in G.nodes[n] else n for n in G.nodes()\n",
+    "    }\n",
+    "    nx.draw_networkx_labels(\n",
+    "        G, pos=pos, ax=ax, labels=node_labels, font_size=12, font_color=\"black\"\n",
+    "    )\n",
     "\n",
     "    # Add colorbar for community colors\n",
-    "    sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=0, vmax=max(louvain_result.values())))\n",
+    "    sm = plt.cm.ScalarMappable(\n",
+    "        cmap=cmap, norm=plt.Normalize(vmin=0, vmax=max(louvain_result.values()))\n",
+    "    )\n",
     "    sm.set_array([])\n",
-    "    cbar = plt.colorbar(sm, ax=ax, ticks=range(max(louvain_result.values()) + 1), shrink=0.5)\n",
-    "    cbar.ax.set_yticklabels([f'Community {i}' for i in range(max(louvain_result.values()) + 1)])\n",
+    "    cbar = plt.colorbar(\n",
+    "        sm, ax=ax, ticks=range(max(louvain_result.values()) + 1), shrink=0.5\n",
+    "    )\n",
+    "    cbar.ax.set_yticklabels(\n",
+    "        [f\"Community {i}\" for i in range(max(louvain_result.values()) + 1)]\n",
+    "    )\n",
     "\n",
     "    # Show the figure\n",
     "    plt.show()\n",
diff --git a/examples/spark_engine.ipynb b/examples/spark_engine.ipynb
index 1cfb69a..1480eaa 100644
--- a/examples/spark_engine.ipynb
+++ b/examples/spark_engine.ipynb
@@ -627,16 +627,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "writer = NebulaWriter(data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\")\n",
+    "writer = NebulaWriter(\n",
+    "    data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\"\n",
+    ")\n",
     "\n",
     "# map column louvain into property cluster_id\n",
-    "properties = {\n",
-    "    \"similarity\": \"similarity\"\n",
-    "}\n",
+    "properties = {\"similarity\": \"similarity\"}\n",
     "\n",
     "writer.set_options(\n",
     "    space=\"basketballplayer\",\n",
-    "    type='edge',\n",
+    "    type=\"edge\",\n",
     "    edge_type=\"jaccard_similarity\",\n",
     "    src_id=\"srcId\",\n",
     "    dst_id=\"dstId\",\n",
diff --git a/ng_ai/engines.py b/ng_ai/engines.py
index 5b86e5e..0dcee77 100644
--- a/ng_ai/engines.py
+++ b/ng_ai/engines.py
@@ -90,9 +90,7 @@ def _get_java_import(self, force=False):
 
         # scala:
         # import "com.vesoft.nebula.algorithm.config.SparkConfig"
-        java_import(
-            self.spark._jvm, "com.vesoft.nebula.algorithm.config.SparkConfig"
-        )
+        java_import(self.spark._jvm, "com.vesoft.nebula.algorithm.config.SparkConfig")
         return java_import
 
     def import_scala_class(self, class_name):
diff --git a/ng_ai/nebula_algo.py b/ng_ai/nebula_algo.py
index 5bd4e8b..199ffab 100644
--- a/ng_ai/nebula_algo.py
+++ b/ng_ai/nebula_algo.py
@@ -320,9 +320,7 @@ def jaccard(self, tol: float = 1.0):
         return result
 
     @algo
-    def strong_connected_components(
-        self, max_iter: int = 10, weighted: bool = False
-    ):
+    def strong_connected_components(self, max_iter: int = 10, weighted: bool = False):
         engine, spark, jspark, encode_vid = self.get_spark_engine_context(
             "CcConfig", "StronglyConnectedComponentsAlgo"
         )
@@ -572,9 +570,7 @@ def dfs(self, root=None, max_depth: int = 10, **kwargs):
         g = self.ngraph.get_nx_graph()
         if root is None:
             root = next(iter(g.nodes()))
-        return self.engine.nx.dfs_edges(
-            g, source=root, depth_limit=max_depth, **kwargs
-        )
+        return self.engine.nx.dfs_edges(g, source=root, depth_limit=max_depth, **kwargs)
 
     @algo
     def node2vec(
@@ -622,9 +618,7 @@ def jaccard(self, ebunch: list = None, **kwargs):
         single_ug = self.engine.nx.Graph()
         for u, v in g.edges():
             single_ug.add_edge(u, v)
-        return self.engine.nx.jaccard_coefficient(
-            single_ug, ebunch=ebunch, **kwargs
-        )
+        return self.engine.nx.jaccard_coefficient(single_ug, ebunch=ebunch, **kwargs)
 
     @algo
     def connected_components(self, **kwargs):
@@ -673,9 +667,7 @@ def triangle_count(self, **kwargs):
         return self.engine.nx.triangles(single_ug, **kwargs)
 
     @algo
-    def closeness_centrality(
-        self, u=None, distance=None, wf_improved=True, **kwargs
-    ):
+    def closeness_centrality(self, u=None, distance=None, wf_improved=True, **kwargs):
         """
         doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.centrality.closeness_centrality.html
         u: node, optional (default = None), If specified, return only the value for the node u.
diff --git a/ng_ai/ng_ai_api/app.py b/ng_ai/ng_ai_api/app.py
index 3a3832c..dcfe723 100644
--- a/ng_ai/ng_ai_api/app.py
+++ b/ng_ai/ng_ai_api/app.py
@@ -37,9 +37,7 @@ def parallel(algo_name):
         # get algo_context
         algo_context = data.get("algo_context")
         assert algo_context is not None, "algo_context should not be None"
-        assert (
-            algo_context.get("space") is not None
-        ), "space should not be None"  # noqa
+        assert algo_context.get("space") is not None, "space should not be None"  # noqa
     except Exception as e:
         print(e)
         return {"error": f"algo context parsing failed: {e}"}
diff --git a/tests/integration/spark_engine_cases/writer.py b/tests/integration/spark_engine_cases/writer.py
index f3b7f75..7983f87 100644
--- a/tests/integration/spark_engine_cases/writer.py
+++ b/tests/integration/spark_engine_cases/writer.py
@@ -37,3 +37,30 @@
     --jars /root/download/nebula-algo.jar \
     /root/run/writer.py
 """
+
+# edge writer
+
+df_result = df.algo.jaccard()
+
+writer = NebulaWriter(
+    data=df_result, sink="nebulagraph_vertex", config=config, engine="spark"
+)
+
+# map column louvain into property cluster_id
+properties = {"similarity": "similarity"}
+
+writer.set_options(
+    space="basketballplayer",
+    type="edge",
+    edge_type="jaccard_similarity",
+    src_id="srcId",
+    dst_id="dstId",
+    src_id_policy="",
+    dst_id_policy="",
+    properties=properties,
+    batch_size=256,
+    write_mode="insert",
+)
+
+# write back to NebulaGraph
+writer.write()
diff --git a/tests/integration/test_e2e_networkx_engine.py b/tests/integration/test_e2e_networkx_engine.py
index b29bfaa..538cd75 100644
--- a/tests/integration/test_e2e_networkx_engine.py
+++ b/tests/integration/test_e2e_networkx_engine.py
@@ -108,8 +108,6 @@ def test_networkx_engine_writer():
     connection_pool.close()
 
     assert result.is_succeeded(), f"ERROR during query NebulaGraph: {result}"
-    assert (
-        not result.is_empty()
-    ), f"louvain not written to NebulaGraph result: {result}"
+    assert not result.is_empty(), f"louvain not written to NebulaGraph result: {result}"
 
     print(f"Label propagation result:\n{result}")
diff --git a/tests/unit/spark_engine/test_nebula_writer.py b/tests/unit/spark_engine/test_nebula_writer.py
index 21cac70..d163d7a 100644
--- a/tests/unit/spark_engine/test_nebula_writer.py
+++ b/tests/unit/spark_engine/test_nebula_writer.py
@@ -63,9 +63,7 @@ def test_nebula_writer_init(spark_df):
 
 
 @patch("ng_ai.nebula_writer.NebulaWriterWithSpark._get_raw_df_writer_with_nebula")
-def test_set_options_with_nebula(
-    mock_get_raw_df_writer, nebula_writer_with_spark_jdf
-):
+def test_set_options_with_nebula(mock_get_raw_df_writer, nebula_writer_with_spark_jdf):
     mock_raw_df_writer = Mock()
     mock_get_raw_df_writer.return_value = mock_raw_df_writer
 

From 1d49f6c6f61649e36b228ec79d11020d60f40a6b Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 6 Sep 2023 13:35:42 +0800
Subject: [PATCH 3/6] lint: make linter happy

---
 examples/ng_ai_networkx_plot.ipynb            |   7 +-
 ng_ai/engines.py                              |   4 +-
 ng_ai/nebula_algo.py                          | 126 ++-
 ng_ai/nebula_reader.py                        |   2 +-
 ng_ai/ng_ai_api/app.py                        |   4 +-
 pdm.lock                                      | 861 +++++++++---------
 pyproject.toml                                |   2 +-
 tests/integration/test_e2e_networkx_engine.py |   7 +-
 tests/unit/spark_engine/test_nebula_data.py   |   2 +-
 tests/unit/spark_engine/test_nebula_writer.py |   4 +-
 10 files changed, 519 insertions(+), 500 deletions(-)

diff --git a/examples/ng_ai_networkx_plot.ipynb b/examples/ng_ai_networkx_plot.ipynb
index 25c4ab9..cb8d1f9 100644
--- a/examples/ng_ai_networkx_plot.ipynb
+++ b/examples/ng_ai_networkx_plot.ipynb
@@ -187,7 +187,12 @@
     "            node_color = random.choice(colors)\n",
     "            node_colors[label] = node_color\n",
     "        nx.draw_networkx_nodes(\n",
-    "            G, pos=pos, ax=ax, nodelist=[node], node_color=node_color, node_size=4000\n",
+    "            G,\n",
+    "            pos=pos,\n",
+    "            ax=ax,\n",
+    "            nodelist=[node],\n",
+    "            node_color=node_color,\n",
+    "            node_size=4000,\n",
     "        )\n",
     "\n",
     "    nx.draw_networkx_edges(\n",
diff --git a/ng_ai/engines.py b/ng_ai/engines.py
index 0dcee77..5b86e5e 100644
--- a/ng_ai/engines.py
+++ b/ng_ai/engines.py
@@ -90,7 +90,9 @@ def _get_java_import(self, force=False):
 
         # scala:
         # import "com.vesoft.nebula.algorithm.config.SparkConfig"
-        java_import(self.spark._jvm, "com.vesoft.nebula.algorithm.config.SparkConfig")
+        java_import(
+            self.spark._jvm, "com.vesoft.nebula.algorithm.config.SparkConfig"
+        )
         return java_import
 
     def import_scala_class(self, class_name):
diff --git a/ng_ai/nebula_algo.py b/ng_ai/nebula_algo.py
index 199ffab..696eaa2 100644
--- a/ng_ai/nebula_algo.py
+++ b/ng_ai/nebula_algo.py
@@ -320,7 +320,9 @@ def jaccard(self, tol: float = 1.0):
         return result
 
     @algo
-    def strong_connected_components(self, max_iter: int = 10, weighted: bool = False):
+    def strong_connected_components(
+        self, max_iter: int = 10, weighted: bool = False
+    ):
         engine, spark, jspark, encode_vid = self.get_spark_engine_context(
             "CcConfig", "StronglyConnectedComponentsAlgo"
         )
@@ -410,13 +412,6 @@ def pagerank(self, reset_prob=0.15, max_iter=10, **kwargs):
             g, alpha=1 - reset_prob, max_iter=max_iter, tol=tol, weight=weight
         )
 
-    @algo
-    def connected_components(self):
-        self.check_engine()
-        g = self.ngraph.get_nx_graph()
-        ug = g.to_undirected()
-        return self.engine.nx.connected_components(ug)
-
     @algo
     def louvain(self, weight: str = None, resolution: float = 1.0):
         """
@@ -433,7 +428,8 @@ def louvain(self, weight: str = None, resolution: float = 1.0):
     @algo
     def label_propagation(self, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/community.html
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /community.html
         """
 
         self.check_engine()
@@ -446,7 +442,8 @@ def label_propagation(self, **kwargs):
     @algo
     def k_core(self, k: int = 2):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.core.k_core.html
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.core.k_core.html
         return: networkx.classes.digraph.DiGraph
         """
         # TBD, k_core requires single graph
@@ -461,7 +458,8 @@ def k_core(self, k: int = 2):
     @algo
     def k_truss(self, k: int = 2):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.core.k_truss.html
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.core.k_truss.html
         return: networkx.classes.graph.Graph
         """
         self.check_engine()
@@ -475,7 +473,8 @@ def k_truss(self, k: int = 2):
     @algo
     def k_clique_communities(self, k: int = 2, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/community.html
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /community.html
         return: Yields sets of nodes, one for each k-clique community.
         """
         self.check_engine()
@@ -488,8 +487,11 @@ def k_clique_communities(self, k: int = 2, **kwargs):
     @algo
     def degree_statics(self):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/classes/generated/networkx.MultiDiGraph.degree.html
-        return: List[Tuple[str, int, int, int]], (node_id, degree, in_degree, out_degree)
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/classes
+        /generated/networkx.MultiDiGraph.degree.html
+        return:
+          List[Tuple[str, int, int, int]],
+          (node_id, degree, in_degree, out_degree)
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
@@ -510,7 +512,8 @@ def betweenness_centrality(
         self, k: int = None, normalized: bool = True, weight: str = None, **kwargs
     ):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality.html
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.centrality.betweenness_centrality.html
         return: Dictionary of nodes with betweenness centrality as the value.
         """
         self.check_engine()
@@ -529,7 +532,8 @@ def betweenness_centrality(
     @algo
     def clustering_coefficient(self, weight: str = None, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.cluster.clustering.html
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.cluster.clustering.html
         return: Dictionary of nodes with clustering coefficient as the value.
         """
         self.check_engine()
@@ -546,8 +550,11 @@ def clustering_coefficient(self, weight: str = None, **kwargs):
     @algo
     def bfs(self, root=None, max_depth: int = 10, reverse: bool = False, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.html
-        root: The node at which to start the search, defaults to the first node in the graph.
+        doc:
+        https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/
+        generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.html
+        root: The node at which to start the search,
+          defaults to the first node in the graph.
         reverse: If True, perform a reverse breadth-first-search.
         return: Yields edges in a breadth-first-search starting at source.
         """
@@ -562,15 +569,19 @@ def bfs(self, root=None, max_depth: int = 10, reverse: bool = False, **kwargs):
     @algo
     def dfs(self, root=None, max_depth: int = 10, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_edges.html
-        root: The node at which to start the search, defaults to the first node in the graph.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.traversal.depth_first_search.dfs_edges.html
+        root: The node at which to start the search,
+          defaults to the first node in the graph.
         return: Yields edges in a depth-first-search starting at source.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
         if root is None:
             root = next(iter(g.nodes()))
-        return self.engine.nx.dfs_edges(g, source=root, depth_limit=max_depth, **kwargs)
+        return self.engine.nx.dfs_edges(
+            g, source=root, depth_limit=max_depth, **kwargs
+        )
 
     @algo
     def node2vec(
@@ -584,11 +595,16 @@ def node2vec(
     ):
         """
         doc: https://github.com/eliorc/node2vec
-        dimensions: int, optional (default = 128), Dimensionality of the word vectors.
-        walk_length: int, optional (default = 80), Length of walk per source. Default value is 80.
-        num_walks: int, optional (default = 10), Number of walks per source. Default value is 10.
-        workers: int, optional (default = 1), Number of parallel workers. Default is 1.
-        fit_args: dict, optional (default = {}), Arguments for gensim.models.Word2Vec.fit()
+        dimensions: int, optional (default = 128), Dimensionality of the
+          word vectors.
+        walk_length: int, optional (default = 80), Length of walk per source.
+          Default value is 80.
+        num_walks: int, optional (default = 10), Number of walks per source.
+          Default value is 10.
+        workers: int, optional (default = 1), Number of parallel workers.
+          Default is 1.
+        fit_args: dict, optional (default = {}), Arguments for
+          gensim.models.Word2Vec.fit()
         return: gensim.models.keyedvectors.Word2VecKeyedVectorsmodel
         """
         self.check_engine()
@@ -607,10 +623,13 @@ def node2vec(
     @algo
     def jaccard(self, ebunch: list = None, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.link_prediction.jaccard_coefficient.html
-        ebunch: iterable of node pairs, optional (default = None), If provided, only return the Jaccard coefficient for the specified pairs.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.link_prediction.jaccard_coefficient.html
+        ebunch: iterable of node pairs, optional (default = None),
+          If provided, only return the Jaccard coefficient for the specified pairs.
             example: [('A', 'B'), ('A', 'C')]
-        return: Yields tuples of (u, v, p) where u and v are nodes and p is the Jaccard coefficient of the neighbors of u and v.
+        return: Yields tuples of (u, v, p) where u and v are nodes
+          and p is the Jaccard coefficient of the neighbors of u and v.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
@@ -618,13 +637,17 @@ def jaccard(self, ebunch: list = None, **kwargs):
         single_ug = self.engine.nx.Graph()
         for u, v in g.edges():
             single_ug.add_edge(u, v)
-        return self.engine.nx.jaccard_coefficient(single_ug, ebunch=ebunch, **kwargs)
+        return self.engine.nx.jaccard_coefficient(
+            single_ug, ebunch=ebunch, **kwargs
+        )
 
     @algo
     def connected_components(self, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.components.connected_components.html
-        return: A generator of sets of nodes, one for each connected component in the graph.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.components.connected_components.html
+        return: A generator of sets of nodes, one for each connected component
+          in the graph.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
@@ -635,8 +658,10 @@ def connected_components(self, **kwargs):
     @algo
     def weakly_connected_components(self, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.components.weakly_connected_components.html
-        return: A generator of sets of nodes, one for each weakly connected component in the graph.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.components.weakly_connected_components.html
+        return: A generator of sets of nodes, one for each weakly connected
+          component in the graph.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
@@ -645,8 +670,10 @@ def weakly_connected_components(self, **kwargs):
     @algo
     def strongly_connected_components(self, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components.html
-        return: A generator of sets of nodes, one for each strongly connected component in the graph.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.components.strongly_connected_components.html
+        return: A generator of sets of nodes, one for each strongly connected
+          component in the graph.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
@@ -655,8 +682,10 @@ def strongly_connected_components(self, **kwargs):
     @algo
     def triangle_count(self, **kwargs):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.cluster.triangles.html
-        return: A dictionary keyed by node to the number of triangles that include that node as a vertex.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.cluster.triangles.html
+        return: A dictionary keyed by node to the number of triangles that include
+          that node as a vertex.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
@@ -667,13 +696,22 @@ def triangle_count(self, **kwargs):
         return self.engine.nx.triangles(single_ug, **kwargs)
 
     @algo
-    def closeness_centrality(self, u=None, distance=None, wf_improved=True, **kwargs):
+    def closeness_centrality(
+        self, u=None, distance=None, wf_improved=True, **kwargs
+    ):
         """
-        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms/generated/networkx.algorithms.centrality.closeness_centrality.html
-        u: node, optional (default = None), If specified, return only the value for the node u.
-        distance: edge attribute key, optional (default = None), Use the specified edge attribute as the edge distance in shortest path calculations.
-        wf_improved: bool, optional (default = True), If True, use the improved algorithm of Freeman and Bader which computes the closeness centrality using the number of reachable nodes instead of the number of nodes in the graph.
-        return: A dictionary keyed by node to the closeness centrality of that node.
+        doc: https://networkx.org/documentation/networkx-2.6.2/reference/algorithms
+        /generated/networkx.algorithms.centrality.closeness_centrality.html
+        u: node, optional (default = None), If specified, return only the value
+            for the node u.
+        distance: edge attribute key, optional (default = None), Use the specified
+            edge attribute as the edge distance in shortest path calculations.
+        wf_improved: bool, optional (default = True), If True, use the improved
+            algorithm of Freeman and Bader which computes the closeness centrality
+            using the number of reachable nodes instead of the number of nodes in
+            the graph.
+        return: A dictionary keyed by node to the closeness centrality of that
+            node.
         """
         self.check_engine()
         g = self.ngraph.get_nx_graph()
diff --git a/ng_ai/nebula_reader.py b/ng_ai/nebula_reader.py
index 2d14a73..b794467 100644
--- a/ng_ai/nebula_reader.py
+++ b/ng_ai/nebula_reader.py
@@ -65,7 +65,7 @@ def scan(self, **kwargs):
     def query(self, **kwargs):
         limit = kwargs.get("limit", DEFAULT_NEBULA_QUERY_LIMIT)
         assert type(limit) == int, "limit should be an integer"
-        space = self.config.space
+        # space = self.config.space
         assert "edges" in kwargs, "edges is required"
         edges = kwargs["edges"]
         assert type(edges) == list, "edges should be a list"
diff --git a/ng_ai/ng_ai_api/app.py b/ng_ai/ng_ai_api/app.py
index dcfe723..3a3832c 100644
--- a/ng_ai/ng_ai_api/app.py
+++ b/ng_ai/ng_ai_api/app.py
@@ -37,7 +37,9 @@ def parallel(algo_name):
         # get algo_context
         algo_context = data.get("algo_context")
         assert algo_context is not None, "algo_context should not be None"
-        assert algo_context.get("space") is not None, "space should not be None"  # noqa
+        assert (
+            algo_context.get("space") is not None
+        ), "space should not be None"  # noqa
     except Exception as e:
         print(e)
         return {"error": f"algo context parsing failed: {e}"}
diff --git a/pdm.lock b/pdm.lock
index eead203..dd92ff3 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -1,21 +1,40 @@
 # This file is @generated by PDM.
 # It is not intended for manual editing.
 
+[metadata]
+groups = ["default", "dev", "test", "spark", "all", "lint", "networkx", "jupyter"]
+cross_platform = true
+static_urls = false
+lock_version = "4.3"
+content_hash = "sha256:a904373c5e5714b7b971c6c8239966ce73e45fcd86c784c6f41834fabaf3ff85"
+
 [[package]]
 name = "appnope"
 version = "0.1.3"
 summary = "Disable App Nap on macOS >= 10.9"
+files = [
+    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
+    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+]
 
 [[package]]
 name = "attrs"
 version = "22.2.0"
 requires_python = ">=3.6"
 summary = "Classes Without Boilerplate"
+files = [
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
+]
 
 [[package]]
 name = "backcall"
 version = "0.2.0"
 summary = "Specifications for callback functions passed in to an API"
+files = [
+    {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
+    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
+]
 
 [[package]]
 name = "black"
@@ -32,6 +51,23 @@ dependencies = [
     "typed-ast>=1.4.2; python_version < \"3.8\" and implementation_name == \"cpython\"",
     "typing-extensions>=3.10.0.0; python_version < \"3.10\"",
 ]
+files = [
+    {file = "black-23.3.0-cp37-cp37m-macosx_10_16_x86_64.whl", hash = "sha256:1d06691f1eb8de91cd1b322f21e3bfc9efe0c7ca1f0e1eb1db44ea367dff656b"},
+    {file = "black-23.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50cb33cac881766a5cd9913e10ff75b1e8eb71babf4c7104f2e9c52da1fb7de2"},
+    {file = "black-23.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e114420bf26b90d4b9daa597351337762b63039752bdf72bf361364c1aa05925"},
+    {file = "black-23.3.0-cp38-cp38-macosx_10_16_arm64.whl", hash = "sha256:48f9d345675bb7fbc3dd85821b12487e1b9a75242028adad0333ce36ed2a6d27"},
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+]
 
 [[package]]
 name = "black"
@@ -44,12 +80,33 @@ dependencies = [
     "ipython>=7.8.0",
     "tokenize-rt>=3.2.0",
 ]
+files = [
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+]
 
 [[package]]
 name = "chispa"
 version = "0.9.2"
 requires_python = ">=3.5"
 summary = "Pyspark test helper library"
+files = [
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+]
 
 [[package]]
 name = "click"
@@ -60,24 +117,40 @@ dependencies = [
     "colorama; platform_system == \"Windows\"",
     "importlib-metadata; python_version < \"3.8\"",
 ]
+files = [
+    {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"},
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+]
 
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 version = "0.4.6"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Cross-platform colored terminal text."
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+]
 
 [[package]]
 name = "decorator"
 version = "5.1.1"
 requires_python = ">=3.5"
 summary = "Decorators for Humans"
+files = [
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+]
 
 [[package]]
 name = "exceptiongroup"
 version = "1.1.1"
 requires_python = ">=3.7"
 summary = "Backport of PEP 654 (exception groups)"
+files = [
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+]
 
 [[package]]
 name = "flake8"
@@ -90,10 +163,14 @@ dependencies = [
     "pycodestyle<2.10.0,>=2.9.0",
     "pyflakes<2.6.0,>=2.5.0",
 ]
+files = [
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+]
 
 [[package]]
 name = "flask"
-version = "2.2.3"
+version = "2.2.5"
 requires_python = ">=3.7"
 summary = "A simple framework for building complex web applications."
 dependencies = [
@@ -103,12 +180,19 @@ dependencies = [
     "importlib-metadata>=3.6.0; python_version < \"3.10\"",
     "itsdangerous>=2.0",
 ]
+files = [
+    {file = "Flask-2.2.5-py3-none-any.whl", hash = "sha256:58107ed83443e86067e41eff4631b058178191a355886f8e479e347fa1285fdf"},
+    {file = "Flask-2.2.5.tar.gz", hash = "sha256:edee9b0a7ff26621bd5a8c10ff484ae28737a2410d99b0bb9a6850c7fb977aa0"},
+]
 
 [[package]]
 name = "future"
 version = "0.18.3"
 requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Clean single-source support for Python 3 and 2"
+files = [
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+]
 
 [[package]]
 name = "gensim"
@@ -120,6 +204,21 @@ dependencies = [
     "scipy>=0.18.1",
     "smart-open>=1.8.1",
 ]
+files = [
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+    {file = "gensim-4.1.0.tar.gz", hash = "sha256:0b09983048a97c7915ab50500bc53eeec438d26366041598709ec156db3eef1f"},
+]
 
 [[package]]
 name = "httplib2"
@@ -129,6 +228,10 @@ summary = "A comprehensive HTTP client library."
 dependencies = [
     "pyparsing!=3.0.0,!=3.0.1,!=3.0.2,!=3.0.3,<4,>=2.4.2; python_version > \"3.0\"",
 ]
+files = [
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+    {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
+]
 
 [[package]]
 name = "importlib-metadata"
@@ -139,12 +242,20 @@ dependencies = [
     "typing-extensions>=3.6.4; python_version < \"3.8\"",
     "zipp>=0.5",
 ]
+files = [
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+    {file = "importlib_metadata-4.2.0.tar.gz", hash = "sha256:b7e52a1f8dec14a75ea73e0891f3060099ca1d8e6a462a4dff11c3e119ea1b31"},
+]
 
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
 requires_python = ">=3.7"
 summary = "brain-dead simple config-ini parsing"
+files = [
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+]
 
 [[package]]
 name = "ipython"
@@ -165,18 +276,45 @@ dependencies = [
     "setuptools>=18.5",
     "traitlets>=4.2",
 ]
+files = [
+    {file = "ipython-7.34.0-py3-none-any.whl", hash = "sha256:c175d2440a1caff76116eb719d40538fbb316e214eda85c5515c303aacbfb23e"},
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+]
+
+[[package]]
+name = "ipython-ngql"
+version = "0.7.1"
+requires_python = ">=3.6"
+summary = "Jupyter and iPython extension for NebulaGraph"
+dependencies = [
+    "Jinja2",
+    "nebula3-python>=3.4.0",
+    "pandas",
+]
+files = [
+    {file = "ipython-ngql-0.7.1.tar.gz", hash = "sha256:a8c45431fafe5a0d5adf528bce8de463d71eb31a79045206e4208f45fc199c27"},
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+]
 
 [[package]]
 name = "isort"
 version = "5.11.5"
 requires_python = ">=3.7.0"
 summary = "A Python utility / library to sort Python imports."
+files = [
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+]
 
 [[package]]
 name = "itsdangerous"
 version = "2.1.2"
 requires_python = ">=3.7"
 summary = "Safely pass data to untrusted environments and back."
+files = [
+    {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
+    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
+]
 
 [[package]]
 name = "jedi"
@@ -186,6 +324,10 @@ summary = "An autocompletion tool for Python that can be used for text editors."
 dependencies = [
     "parso<0.9.0,>=0.8.0",
 ]
+files = [
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+    {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"},
+]
 
 [[package]]
 name = "jinja2"
@@ -195,18 +337,58 @@ summary = "A very fast and expressive template engine."
 dependencies = [
     "MarkupSafe>=2.0",
 ]
+files = [
+    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
+    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+]
 
 [[package]]
 name = "joblib"
 version = "1.2.0"
 requires_python = ">=3.7"
 summary = "Lightweight pipelining with Python functions"
+files = [
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+    {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
+]
 
 [[package]]
 name = "markupsafe"
 version = "2.1.2"
 requires_python = ">=3.7"
 summary = "Safely add untrusted strings to HTML/XML markup."
+files = [
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 name = "matplotlib-inline"
@@ -216,18 +398,30 @@ summary = "Inline Matplotlib backend for Jupyter"
 dependencies = [
     "traitlets",
 ]
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 version = "0.7.0"
 requires_python = ">=3.6"
 summary = "McCabe checker, plugin for flake8"
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 version = "1.0.0"
 requires_python = ">=3.5"
 summary = "Type system extensions for programs checked with the mypy type checker."
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 name = "nebula3-python"
@@ -239,12 +433,20 @@ dependencies = [
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 ]
+files = [
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 version = "2.6.3"
 requires_python = ">=3.7"
 summary = "Python package for creating and manipulating graphs and networks"
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 name = "ng-nx"
@@ -259,6 +461,10 @@ dependencies = [
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 ]
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 [[package]]
 name = "node2vec"
@@ -271,18 +477,51 @@ dependencies = [
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     "tqdm",
 ]
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 requires_python = ">=3.7,<3.11"
 summary = "NumPy is the fundamental package for array computing with Python."
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 [[package]]
 name = "packaging"
 version = "23.0"
 requires_python = ">=3.7"
 summary = "Core utilities for Python packages"
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 [[package]]
 name = "pandas"
@@ -296,18 +535,47 @@ dependencies = [
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     "pytz>=2017.3",
 ]
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 name = "parso"
 version = "0.8.3"
 requires_python = ">=3.6"
 summary = "A Python Parser"
+files = [
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 name = "pathspec"
 version = "0.11.1"
 requires_python = ">=3.7"
 summary = "Utility library for gitignore style pattern matching of file paths."
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 [[package]]
 name = "pexpect"
@@ -316,11 +584,19 @@ summary = "Pexpect allows easy control of interactive console applications."
 dependencies = [
     "ptyprocess>=0.5",
 ]
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 name = "pickleshare"
 version = "0.7.5"
 summary = "Tiny 'shelve'-like database with concurrency support"
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+]
 
 [[package]]
 name = "platformdirs"
@@ -330,6 +606,10 @@ summary = "A small Python package for determining appropriate platform-specific
 dependencies = [
     "typing-extensions>=4.4; python_version < \"3.8\"",
 ]
+files = [
+    {file = "platformdirs-3.1.1-py3-none-any.whl", hash = "sha256:e5986afb596e4bb5bde29a79ac9061aa955b94fca2399b7aaac4090860920dd8"},
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+]
 
 [[package]]
 name = "pluggy"
@@ -339,6 +619,10 @@ summary = "plugin and hook calling mechanisms for python"
 dependencies = [
     "importlib-metadata>=0.12; python_version < \"3.8\"",
 ]
+files = [
+    {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
+    {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
+]
 
 [[package]]
 name = "prompt-toolkit"
@@ -348,40 +632,68 @@ summary = "Library for building powerful interactive command lines in Python"
 dependencies = [
     "wcwidth",
 ]
+files = [
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+]
 
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 version = "0.7.0"
 summary = "Run a subprocess in a pseudo terminal"
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 version = "0.10.9.5"
 summary = "Enables Python programs to dynamically access arbitrary Java objects"
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 version = "2.9.1"
 requires_python = ">=3.6"
 summary = "Python style guide checker"
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 requires_python = ">=3.6"
 summary = "passive checker of Python programs"
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 name = "pygments"
 version = "2.14.0"
 requires_python = ">=3.6"
 summary = "Pygments is a syntax highlighting package written in Python."
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 [[package]]
 name = "pyparsing"
 version = "3.0.9"
 requires_python = ">=3.6.8"
 summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
+files = [
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+]
 
 [[package]]
 name = "pyspark"
@@ -391,6 +703,9 @@ summary = "Apache Spark Python API"
 dependencies = [
     "py4j==0.10.9.5",
 ]
+files = [
+    {file = "pyspark-3.3.2.tar.gz", hash = "sha256:0dfd5db4300c1f6cc9c16d8dbdfb82d881b4b172984da71344ede1a9d4893da8"},
+]
 
 [[package]]
 name = "pytest"
@@ -407,6 +722,10 @@ dependencies = [
     "pluggy<2.0,>=0.12",
     "tomli>=1.0.0; python_version < \"3.11\"",
 ]
+files = [
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+]
 
 [[package]]
 name = "python-dateutil"
@@ -416,6 +735,10 @@ summary = "Extensions to the standard Python datetime module"
 dependencies = [
     "six>=1.5",
 ]
+files = [
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+]
 
 [[package]]
 name = "python-louvain"
@@ -425,11 +748,18 @@ dependencies = [
     "networkx",
     "numpy",
 ]
+files = [
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+]
 
 [[package]]
 name = "pytz"
 version = "2022.7.1"
 summary = "World timezone definitions, modern and historical"
+files = [
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+]
 
 [[package]]
 name = "scipy"
@@ -439,36 +769,81 @@ summary = "SciPy: Scientific Library for Python"
 dependencies = [
     "numpy<1.23.0,>=1.16.5",
 ]
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 requires_python = ">=3.7"
 summary = "Easily download, build, install, upgrade, and uninstall Python packages"
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 version = "1.16.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python 2 and 3 compatibility utilities"
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 requires_python = ">=3.6,<4.0"
 summary = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
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 version = "5.0.0"
 requires_python = ">=3.7"
 summary = "A wrapper around the stdlib `tokenize` which roundtrips."
+files = [
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 [[package]]
 name = "tomli"
 version = "2.0.1"
 requires_python = ">=3.7"
 summary = "A lil' TOML parser"
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 [[package]]
 name = "tqdm"
@@ -478,29 +853,62 @@ summary = "Fast, Extensible Progress Meter"
 dependencies = [
     "colorama; platform_system == \"Windows\"",
 ]
+files = [
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 name = "traitlets"
 version = "5.9.0"
 requires_python = ">=3.7"
 summary = "Traitlets Python configuration system"
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 version = "1.5.4"
 requires_python = ">=3.6"
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+files = [
+    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
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 ]
diff --git a/pyproject.toml b/pyproject.toml
index 4b5c9dc..22c32ca 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -111,7 +111,7 @@ filter_files = true
 
 [project]
 name = "ng_ai"
-version = "0.2.10.1"
+version = "0.2.10.2"
 description = "NebulaGraph AI Suite"
 authors = [
     {name = "Wey Gu", email = "weyl.gu@gmail.com"},
diff --git a/tests/integration/test_e2e_networkx_engine.py b/tests/integration/test_e2e_networkx_engine.py
index 538cd75..8a3dcc4 100644
--- a/tests/integration/test_e2e_networkx_engine.py
+++ b/tests/integration/test_e2e_networkx_engine.py
@@ -1,5 +1,3 @@
-import subprocess
-
 from nebula3.Config import Config
 from nebula3.gclient.net import ConnectionPool
 
@@ -29,7 +27,6 @@ def test_networkx_engine_algo():
     """
     Test networkx engine with all algorithms
     """
-    import networkx as nx
 
     from ng_ai import NebulaReader
     from ng_ai.config import NebulaGraphConfig
@@ -108,6 +105,8 @@ def test_networkx_engine_writer():
     connection_pool.close()
 
     assert result.is_succeeded(), f"ERROR during query NebulaGraph: {result}"
-    assert not result.is_empty(), f"louvain not written to NebulaGraph result: {result}"
+    assert (
+        not result.is_empty()
+    ), f"louvain not written to NebulaGraph result: {result}"
 
     print(f"Label propagation result:\n{result}")
diff --git a/tests/unit/spark_engine/test_nebula_data.py b/tests/unit/spark_engine/test_nebula_data.py
index 4c9bbd1..769f696 100644
--- a/tests/unit/spark_engine/test_nebula_data.py
+++ b/tests/unit/spark_engine/test_nebula_data.py
@@ -6,7 +6,7 @@
 
 from ng_ai.config import NebulaGraphConfig
 from ng_ai.engines import SparkEngine
-from ng_ai.nebula_data import NebulaDataFrameObject, NebulaGraphObject
+from ng_ai.nebula_data import NebulaDataFrameObject
 
 
 @pytest.fixture(scope="session")
diff --git a/tests/unit/spark_engine/test_nebula_writer.py b/tests/unit/spark_engine/test_nebula_writer.py
index d163d7a..21cac70 100644
--- a/tests/unit/spark_engine/test_nebula_writer.py
+++ b/tests/unit/spark_engine/test_nebula_writer.py
@@ -63,7 +63,9 @@ def test_nebula_writer_init(spark_df):
 
 
 @patch("ng_ai.nebula_writer.NebulaWriterWithSpark._get_raw_df_writer_with_nebula")
-def test_set_options_with_nebula(mock_get_raw_df_writer, nebula_writer_with_spark_jdf):
+def test_set_options_with_nebula(
+    mock_get_raw_df_writer, nebula_writer_with_spark_jdf
+):
     mock_raw_df_writer = Mock()
     mock_get_raw_df_writer.return_value = mock_raw_df_writer
 

From f38d8aa354c69a0dc4baa16092db812b39126855 Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 6 Sep 2023 13:40:00 +0800
Subject: [PATCH 4/6] test: uplift nebulagraph version for integration test

---
 tests/integration/setup/docker-compose.yaml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/integration/setup/docker-compose.yaml b/tests/integration/setup/docker-compose.yaml
index 4aca738..c5844af 100644
--- a/tests/integration/setup/docker-compose.yaml
+++ b/tests/integration/setup/docker-compose.yaml
@@ -4,7 +4,7 @@ services:
       - "com.vesoft.scope=core"
       - "com.vesoft.role=meta"
     container_name: nebulagraph__metad0
-    image: vesoft/nebula-metad:v3.4.0
+    image: vesoft/nebula-metad:v3.6.0
     environment:
       USER: root
     command:
@@ -39,7 +39,7 @@ services:
       - "com.vesoft.scope=core"
       - "com.vesoft.role=storage"
     container_name: nebulagraph__storaged0
-    image: vesoft/nebula-storaged:v3.4.0
+    image: vesoft/nebula-storaged:v3.6.0
     environment:
       USER: root
     command:
@@ -76,7 +76,7 @@ services:
       - "com.vesoft.scope=core"
       - "com.vesoft.role=graph"
     container_name: nebulagraph__graphd
-    image: vesoft/nebula-graphd:v3.4.0
+    image: vesoft/nebula-graphd:v3.6.0
     environment:
       USER: root
     command:

From 2977ec0a24bf3b15bdd5650b1e37cc61e2bec70c Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 6 Sep 2023 13:51:16 +0800
Subject: [PATCH 5/6] fix e2e tests

---
 tests/integration/conftest.py              | 30 ++++++++++++++++++++++
 tests/integration/test_e2e_spark_engine.py | 13 ++++++++++
 2 files changed, 43 insertions(+)

diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py
index 77a7c51..d216d99 100644
--- a/tests/integration/conftest.py
+++ b/tests/integration/conftest.py
@@ -51,6 +51,21 @@ def prepare_data():
         b"ERROR" not in result.stdout
     ), f"ERROR during create tag: {result.stdout.decode('utf-8')}"
 
+    result = subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        "USE basketballplayer; "
+        "CREATE EDGE IF NOT EXISTS jaccard_similarity "
+        '(similarity double);" ',
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+    sleep(4)
+    assert (
+        b"ERROR" not in result.stdout
+    ), f"ERROR during create edge: {result.stdout.decode('utf-8')}"
+
     result = subprocess.run(
         "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
         ' -addr graphd -port 9669 -u root -p nebula -e " '
@@ -101,4 +116,19 @@ def prepare_data():
         b"ERROR" not in result.stdout
     ), f"ERROR during create tag: {result.stdout.decode('utf-8')}"
 
+    # check the schema existence with DESC EDGE jaccard_similarity:
+    result = subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        "USE basketballplayer; "
+        'DESC EDGE jaccard_similarity;" ',
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+    print(f"DESC EDGE jaccard_similarity:\n{result.stdout.decode('utf-8')}")
+    assert (
+        b"ERROR" not in result.stdout
+    ), f"ERROR during create edge: {result.stdout.decode('utf-8')}"
+
     print("Setup data done...")
diff --git a/tests/integration/test_e2e_spark_engine.py b/tests/integration/test_e2e_spark_engine.py
index 44066a5..a13c861 100644
--- a/tests/integration/test_e2e_spark_engine.py
+++ b/tests/integration/test_e2e_spark_engine.py
@@ -119,3 +119,16 @@ def test_label_propagation_spark_engine_writer():
         .startswith("player")
     ), f"label_propagation value is not correct result: {result}"
     print(f"Label propagation result:\n{result}")
+
+    # edge writer
+    with connection_pool.session_context("root", "nebula") as session:
+        session.execute("USE basketballplayer")
+        result = session.execute(
+            "MATCH ()-[e:jaccard_similarity]->() RETURN e.similarity LIMIT 1"
+        )
+        print(result)
+    connection_pool.close()
+    assert result.is_succeeded(), f"ERROR during query NebulaGraph: {result}"
+    assert (
+        0 < result.column_values("e.similarity")[0].cast() < 1
+    ), f"jaccard_similarity value is not correct result: {result}"

From 8457c949ca223513221be30cf78bd08467ec1dc7 Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 6 Sep 2023 14:04:48 +0800
Subject: [PATCH 6/6] fix e2e test

---
 examples/spark_engine.ipynb                   |  3 +-
 ng_ai/nebula_writer.py                        |  3 ++
 .../notebooks/spark_engine_e2e.ipynb          | 46 +++++++++++++++++++
 .../integration/spark_engine_cases/writer.py  |  3 +-
 tests/integration/test_e2e_spark_engine.py    |  1 -
 5 files changed, 51 insertions(+), 5 deletions(-)

diff --git a/examples/spark_engine.ipynb b/examples/spark_engine.ipynb
index 1480eaa..1852875 100644
--- a/examples/spark_engine.ipynb
+++ b/examples/spark_engine.ipynb
@@ -628,7 +628,7 @@
    "outputs": [],
    "source": [
     "writer = NebulaWriter(\n",
-    "    data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\"\n",
+    "    data=df_result, sink=\"nebulagraph_edge\", config=config, engine=\"spark\"\n",
     ")\n",
     "\n",
     "# map column louvain into property cluster_id\n",
@@ -636,7 +636,6 @@
     "\n",
     "writer.set_options(\n",
     "    space=\"basketballplayer\",\n",
-    "    type=\"edge\",\n",
     "    edge_type=\"jaccard_similarity\",\n",
     "    src_id=\"srcId\",\n",
     "    dst_id=\"dstId\",\n",
diff --git a/ng_ai/nebula_writer.py b/ng_ai/nebula_writer.py
index 6f07787..3559232 100644
--- a/ng_ai/nebula_writer.py
+++ b/ng_ai/nebula_writer.py
@@ -320,6 +320,9 @@ def set_options(self, **kwargs):
 
         # case switch based on sink
         if self.sink in SPARK_NEBULA_SINKS:
+            kwargs["type"] = (
+                "vertex" if self.sink == "nebulagraph_vertex" else "edge"
+            )
             self._set_options_with_nebula(**kwargs)
         elif self.sink in SPARK_FILE_SINKS:
             self._set_options_with_file(**kwargs)
diff --git a/tests/integration/notebooks/spark_engine_e2e.ipynb b/tests/integration/notebooks/spark_engine_e2e.ipynb
index 8cda942..819c556 100644
--- a/tests/integration/notebooks/spark_engine_e2e.ipynb
+++ b/tests/integration/notebooks/spark_engine_e2e.ipynb
@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "8a6e2678",
    "metadata": {},
@@ -42,6 +43,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "170f8c38",
    "metadata": {},
@@ -70,6 +72,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "6051622d",
    "metadata": {},
@@ -116,6 +119,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "311b49c4",
    "metadata": {},
@@ -153,6 +157,7 @@
     "properties = {\"lpa\": \"cluster_id\"}\n",
     "\n",
     "writer.set_options(\n",
+    "    space=\"basketballplayer\",\n",
     "    tag=\"label_propagation\",\n",
     "    vid_field=\"_id\",\n",
     "    properties=properties,\n",
@@ -162,6 +167,47 @@
     "# write back to NebulaGraph\n",
     "writer.write()"
    ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cbe44f42",
+   "metadata": {},
+   "source": [
+    "## Test Writer insert mode in sink: `nebulagraph_edge`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "79068641",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_result = df.algo.jaccard_similarity()\n",
+    "\n",
+    "writer = NebulaWriter(\n",
+    "    data=df_result, sink=\"nebulagraph_edge\", config=config, engine=\"spark\"\n",
+    ")\n",
+    "\n",
+    "# map column louvain into property cluster_id\n",
+    "properties = {\"similarity\": \"similarity\"}\n",
+    "\n",
+    "writer.set_options(\n",
+    "    space=\"basketballplayer\",\n",
+    "    edge_type=\"jaccard_similarity\",\n",
+    "    src_id=\"srcId\",\n",
+    "    dst_id=\"dstId\",\n",
+    "    src_id_policy=\"\",\n",
+    "    dst_id_policy=\"\",\n",
+    "    properties=properties,\n",
+    "    batch_size=256,\n",
+    "    write_mode=\"insert\",\n",
+    ")\n",
+    "\n",
+    "# write back to NebulaGraph\n",
+    "writer.write()"
+   ]
   }
  ],
  "metadata": {
diff --git a/tests/integration/spark_engine_cases/writer.py b/tests/integration/spark_engine_cases/writer.py
index 7983f87..94e06b0 100644
--- a/tests/integration/spark_engine_cases/writer.py
+++ b/tests/integration/spark_engine_cases/writer.py
@@ -43,7 +43,7 @@
 df_result = df.algo.jaccard()
 
 writer = NebulaWriter(
-    data=df_result, sink="nebulagraph_vertex", config=config, engine="spark"
+    data=df_result, sink="nebulagraph_edge", config=config, engine="spark"
 )
 
 # map column louvain into property cluster_id
@@ -51,7 +51,6 @@
 
 writer.set_options(
     space="basketballplayer",
-    type="edge",
     edge_type="jaccard_similarity",
     src_id="srcId",
     dst_id="dstId",
diff --git a/tests/integration/test_e2e_spark_engine.py b/tests/integration/test_e2e_spark_engine.py
index a13c861..fdbd6ee 100644
--- a/tests/integration/test_e2e_spark_engine.py
+++ b/tests/integration/test_e2e_spark_engine.py
@@ -107,7 +107,6 @@ def test_label_propagation_spark_engine_writer():
             "MATCH (v:player) RETURN v.label_propagation.cluster_id LIMIT 1"
         )
         print(result)
-    connection_pool.close()
 
     assert result.is_succeeded(), f"ERROR during query NebulaGraph: {result}"
     assert (