feat: phase 2 of networkx/nebula engine, writer implementation

[wey-gu]

partially-implement: #28

example:

from ng_ai import NebulaReader
from ng_ai.config import NebulaGraphConfig

# read data with nebula/networkx engine, query mode
config_dict = {
    "graphd_hosts": "127.0.0.1:29669",
    "user": "root",
    "password": "nebula",
    "space": "basketballplayer",
}
config = NebulaGraphConfig(**config_dict)
reader = NebulaReader(engine="nebula", config=config)
reader.query(edges=["follow", "serve"], props=[["degree"], []])
g = reader.read()
g.show(10)

graph_result = g.algo.pagerank()
from ng_ai import NebulaWriter

writer = NebulaWriter(
    graph=g,
    data=graph_result,
    sink="nebulagraph_vertex",
    config=config,
    engine="nebula",
)
# properties to write
properties = ["pagerank"]

writer.set_options(
    tag="pagerank",
    properties=properties,
    batch_size=256,
    write_mode="insert",
)
# write back to NebulaGraph
writer.write()

result:

(root@nebula) [basketballplayer]> """
                               -> MATCH (v:pagerank)
                               -> RETURN id(v), properties(v).name, v.pagerank.pagerank LIMIT 10;
                               -> """
+-------------+----------------------+----------------------+
| id(v)       | properties(v).name   | v.pagerank.pagerank  |
+-------------+----------------------+----------------------+
| "player114" | "Tracy McGrady"      | 0.011051906163893978 |
| "player150" | "Luka Doncic"        | 0.009516492295110288 |
| "team204"   | "Spurs"              | 0.04903196906959808  |
| "team218"   | "Raptors"            | 0.01638628218960471  |
| "team229"   | "Heat"               | 0.017044530151108732 |
| "player105" | "Danny Green"        | 0.008024866580699643 |
| "player109" | "Tiago Splitter"     | 0.006968969577862604 |
| "player111" | "David West"         | 0.006968969577862604 |
| "player118" | "Russell Westbrook"  | 0.014443509420925593 |
| "player143" | "Kristaps Porzingis" | 0.008991253709274852 |
+-------------+----------------------+----------------------+
Got 10 rows (time spent 54748/71563 us)

Mon, 27 Mar 2023 14:39:10 CST