gardel/lightrag
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update oracle_impl.py

Browse Source
This commit is contained in:
jin
2024-11-25 14:15:10 +08:00
parent 26ae240c65
commit 776ba2f2ce
1 changed files with 166 additions and 109 deletions
Download Patch File Download Diff File Expand all files Collapse all files

275
lightrag/kg/oracle_impl.py
View File

@@ -114,9 +114,7 @@ class OracleDB:
logger.info("Finished check all tables in Oracle database")
async def query(
self, sql: str, params: dict = None, multirows: bool = False
) -> Union[dict, None]:
async def query(self, sql: str, params: dict = None, multirows: bool = False) -> Union[dict, None]:
async with self.pool.acquire() as connection:
connection.inputtypehandler = self.input_type_handler
connection.outputtypehandler = self.output_type_handler
@@ -175,11 +173,10 @@ class OracleKVStorage(BaseKVStorage):
async def get_by_id(self, id: str) -> Union[dict, None]:
"""根据 id 获取 doc_full 数据."""
SQL = SQL_TEMPLATES["get_by_id_" + self.namespace].format(
workspace=self.db.workspace, id=id
)
SQL = SQL_TEMPLATES["get_by_id_" + self.namespace]
params = {"workspace":self.db.workspace, "id":id}
# print("get_by_id:"+SQL)
res = await self.db.query(SQL)
res = await self.db.query(SQL,params)
if res:
data = res # {"data":res}
# print (data)
@@ -190,11 +187,11 @@ class OracleKVStorage(BaseKVStorage):
# Query by id
async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]:
"""根据 id 获取 doc_chunks 数据"""
SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(
workspace=self.db.workspace, ids=",".join([f"'{id}'" for id in ids])
)
# print("get_by_ids:"+SQL)
res = await self.db.query(SQL, multirows=True)
SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(ids=",".join([f"'{id}'" for id in ids]))
params = {"workspace":self.db.workspace}
#print("get_by_ids:"+SQL)
#print(params)
res = await self.db.query(SQL,params, multirows=True)
if res:
data = res # [{"data":i} for i in res]
# print(data)
@@ -204,12 +201,16 @@ class OracleKVStorage(BaseKVStorage):
async def filter_keys(self, keys: list[str]) -> set[str]:
"""过滤掉重复内容"""
SQL = SQL_TEMPLATES["filter_keys"].format(
table_name=N_T[self.namespace],
workspace=self.db.workspace,
ids=",".join([f"'{k}'" for k in keys]),
)
res = await self.db.query(SQL, multirows=True)
SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace],
ids=",".join([f"'{id}'" for id in keys]))
params = {"workspace":self.db.workspace}
try:
await self.db.query(SQL, params)
except Exception as e:
logger.error(f"Oracle database error: {e}")
print(SQL)
print(params)
res = await self.db.query(SQL, params,multirows=True)
data = None
if res:
exist_keys = [key["id"] for key in res]
@@ -246,29 +247,31 @@ class OracleKVStorage(BaseKVStorage):
d["__vector__"] = embeddings[i]
# print(list_data)
for item in list_data:
merge_sql = SQL_TEMPLATES["merge_chunk"].format(check_id=item["__id__"])
values = [
item["__id__"],
item["content"],
self.db.workspace,
item["tokens"],
item["chunk_order_index"],
item["full_doc_id"],
item["__vector__"],
]
merge_sql = SQL_TEMPLATES["merge_chunk"]
data = {"check_id":item["__id__"],
"id":item["__id__"],
"content":item["content"],
"workspace":self.db.workspace,
"tokens":item["tokens"],
"chunk_order_index":item["chunk_order_index"],
"full_doc_id":item["full_doc_id"],
"content_vector":item["__vector__"]
}
# print(merge_sql)
await self.db.execute(merge_sql, values)
await self.db.execute(merge_sql, data)
if self.namespace == "full_docs":
for k, v in self._data.items():
# values.clear()
merge_sql = SQL_TEMPLATES["merge_doc_full"].format(
check_id=k,
)
values = [k, self._data[k]["content"], self.db.workspace]
merge_sql = SQL_TEMPLATES["merge_doc_full"]
data = {
"check_id":k,
"id":k,
"content":v["content"],
"workspace":self.db.workspace
}
# print(merge_sql)
await self.db.execute(merge_sql, values)
await self.db.execute(merge_sql, data)
return left_data
async def index_done_callback(self):
@@ -298,18 +301,17 @@ class OracleVectorDBStorage(BaseVectorStorage):
# 转换精度
dtype = str(embedding.dtype).upper()
dimension = embedding.shape[0]
embedding_string = ", ".join(map(str, embedding.tolist()))
embedding_string = "["+", ".join(map(str, embedding.tolist()))+"]"
SQL = SQL_TEMPLATES[self.namespace].format(
embedding_string=embedding_string,
dimension=dimension,
dtype=dtype,
workspace=self.db.workspace,
top_k=top_k,
better_than_threshold=self.cosine_better_than_threshold,
)
SQL = SQL_TEMPLATES[self.namespace].format(dimension=dimension, dtype=dtype)
params = {
"embedding_string": embedding_string,
"workspace": self.db.workspace,
"top_k": top_k,
"better_than_threshold": self.cosine_better_than_threshold,
}
# print(SQL)
results = await self.db.query(SQL, multirows=True)
results = await self.db.query(SQL,params=params, multirows=True)
# print("vector search result:",results)
return results
@@ -344,22 +346,18 @@ class OracleGraphStorage(BaseGraphStorage):
)
embeddings = np.concatenate(embeddings_list)
content_vector = embeddings[0]
merge_sql = SQL_TEMPLATES["merge_node"].format(
workspace=self.db.workspace, name=entity_name, source_chunk_id=source_id
)
merge_sql = SQL_TEMPLATES["merge_node"]
data = {
"workspace":self.db.workspace,
"name":entity_name,
"entity_type":entity_type,
"description":description,
"source_chunk_id":source_id,
"content":content,
"content_vector":content_vector
}
# print(merge_sql)
await self.db.execute(
merge_sql,
[
self.db.workspace,
entity_name,
entity_type,
description,
source_id,
content,
content_vector,
],
)
await self.db.execute(merge_sql,data)
# self._graph.add_node(node_id, **node_data)
async def upsert_edge(
@@ -373,6 +371,8 @@ class OracleGraphStorage(BaseGraphStorage):
keywords = edge_data["keywords"]
description = edge_data["description"]
source_chunk_id = edge_data["source_id"]
logger.debug(f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}")
content = keywords + source_name + target_name + description
contents = [content]
batches = [
@@ -384,27 +384,20 @@ class OracleGraphStorage(BaseGraphStorage):
)
embeddings = np.concatenate(embeddings_list)
content_vector = embeddings[0]
merge_sql = SQL_TEMPLATES["merge_edge"].format(
workspace=self.db.workspace,
source_name=source_name,
target_name=target_name,
source_chunk_id=source_chunk_id,
)
merge_sql = SQL_TEMPLATES["merge_edge"]
data = {
"workspace":self.db.workspace,
"source_name":source_name,
"target_name":target_name,
"weight":weight,
"keywords":keywords,
"description":description,
"source_chunk_id":source_chunk_id,
"content":content,
"content_vector":content_vector
}
# print(merge_sql)
await self.db.execute(
merge_sql,
[
self.db.workspace,
source_name,
target_name,
weight,
keywords,
description,
source_chunk_id,
content,
content_vector,
],
)
await self.db.execute(merge_sql,data)
# self._graph.add_edge(source_node_id, target_node_id, **edge_data)
async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]:
@@ -434,12 +427,14 @@ class OracleGraphStorage(BaseGraphStorage):
#################### query method #################
async def has_node(self, node_id: str) -> bool:
"""根据节点id检查节点是否存在"""
SQL = SQL_TEMPLATES["has_node"].format(
workspace=self.db.workspace, node_id=node_id
)
SQL = SQL_TEMPLATES["has_node"]
params = {
"workspace":self.db.workspace,
"node_id":node_id
}
# print(SQL)
# print(self.db.workspace, node_id)
res = await self.db.query(SQL)
res = await self.db.query(SQL,params)
if res:
# print("Node exist!",res)
return True
@@ -449,13 +444,14 @@ class OracleGraphStorage(BaseGraphStorage):
async def has_edge(self, source_node_id: str, target_node_id: str) -> bool:
"""根据源和目标节点id检查边是否存在"""
SQL = SQL_TEMPLATES["has_edge"].format(
workspace=self.db.workspace,
source_node_id=source_node_id,
target_node_id=target_node_id,
)
SQL = SQL_TEMPLATES["has_edge"]
params = {
"workspace":self.db.workspace,
"source_node_id":source_node_id,
"target_node_id":target_node_id
}
# print(SQL)
res = await self.db.query(SQL)
res = await self.db.query(SQL,params)
if res:
# print("Edge exist!",res)
return True
@@ -465,11 +461,13 @@ class OracleGraphStorage(BaseGraphStorage):
async def node_degree(self, node_id: str) -> int:
"""根据节点id获取节点的度"""
SQL = SQL_TEMPLATES["node_degree"].format(
workspace=self.db.workspace, node_id=node_id
)
SQL = SQL_TEMPLATES["node_degree"]
params = {
"workspace":self.db.workspace,
"node_id":node_id
}
# print(SQL)
res = await self.db.query(SQL)
res = await self.db.query(SQL,params)
if res:
# print("Node degree",res["degree"])
return res["degree"]
@@ -485,12 +483,14 @@ class OracleGraphStorage(BaseGraphStorage):
async def get_node(self, node_id: str) -> Union[dict, None]:
"""根据节点id获取节点数据"""
SQL = SQL_TEMPLATES["get_node"].format(
workspace=self.db.workspace, node_id=node_id
)
SQL = SQL_TEMPLATES["get_node"]
params = {
"workspace":self.db.workspace,
"node_id":node_id
}
# print(self.db.workspace, node_id)
# print(SQL)
res = await self.db.query(SQL)
res = await self.db.query(SQL,params)
if res:
# print("Get node!",self.db.workspace, node_id,res)
return res
@@ -502,12 +502,13 @@ class OracleGraphStorage(BaseGraphStorage):
self, source_node_id: str, target_node_id: str
) -> Union[dict, None]:
"""根据源和目标节点id获取边"""
SQL = SQL_TEMPLATES["get_edge"].format(
workspace=self.db.workspace,
source_node_id=source_node_id,
target_node_id=target_node_id,
)
res = await self.db.query(SQL)
SQL = SQL_TEMPLATES["get_edge"]
params = {
"workspace":self.db.workspace,
"source_node_id":source_node_id,
"target_node_id":target_node_id
}
res = await self.db.query(SQL,params)
if res:
# print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0])
return res
@@ -518,10 +519,12 @@ class OracleGraphStorage(BaseGraphStorage):
async def get_node_edges(self, source_node_id: str):
"""根据节点id获取节点的所有边"""
if await self.has_node(source_node_id):
SQL = SQL_TEMPLATES["get_node_edges"].format(
workspace=self.db.workspace, source_node_id=source_node_id
)
res = await self.db.query(sql=SQL, multirows=True)
SQL = SQL_TEMPLATES["get_node_edges"]
params = {
"workspace":self.db.workspace,
"source_node_id":source_node_id
}
res = await self.db.query(sql=SQL, params=params, multirows=True)
if res:
data = [(i["source_name"], i["target_name"]) for i in res]
# print("Get node edge!",self.db.workspace, source_node_id,data)
@@ -529,7 +532,29 @@ class OracleGraphStorage(BaseGraphStorage):
else:
# print("Node Edge not exist!",self.db.workspace, source_node_id)
return []
async def get_all_nodes(self, limit: int):
"""查询所有节点"""
SQL = SQL_TEMPLATES["get_all_nodes"]
params = {"workspace":self.db.workspace, "limit":str(limit)}
res = await self.db.query(sql=SQL,params=params, multirows=True)
if res:
return res
async def get_all_edges(self, limit: int):
"""查询所有边"""
SQL = SQL_TEMPLATES["get_all_edges"]
params = {"workspace":self.db.workspace, "limit":str(limit)}
res = await self.db.query(sql=SQL,params=params, multirows=True)
if res:
return res
async def get_statistics(self):
SQL = SQL_TEMPLATES["get_statistics"]
params = {"workspace":self.db.workspace}
res = await self.db.query(sql=SQL,params=params, multirows=True)
if res:
return res
N_T = {
"full_docs": "LIGHTRAG_DOC_FULL",
@@ -701,5 +726,37 @@ SQL_TEMPLATES = {
ON (a.workspace = :workspace and a.source_name=:source_name and a.target_name=:target_name and a.source_chunk_id=:source_chunk_id)
WHEN NOT MATCHED THEN
INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector)
values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """,
values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """,
"get_all_nodes":"""WITH t0 AS (
SELECT name AS id, entity_type AS label, entity_type, description,
'["' || replace(source_chunk_id, '<SEP>', '","') || '"]' source_chunk_ids
FROM lightrag_graph_nodes
WHERE workspace = :workspace
ORDER BY createtime DESC fetch first :limit rows only
), t1 AS (
SELECT t0.id, source_chunk_id
FROM t0, JSON_TABLE ( source_chunk_ids, '$[*]' COLUMNS ( source_chunk_id PATH '$' ) )
), t2 AS (
SELECT t1.id, LISTAGG(t2.content, '\n') content
FROM t1 LEFT JOIN lightrag_doc_chunks t2 ON t1.source_chunk_id = t2.id
GROUP BY t1.id
)
SELECT t0.id, label, entity_type, description, t2.content
FROM t0 LEFT JOIN t2 ON t0.id = t2.id""",
"get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target,
t1.weight,t1.DESCRIPTION,t2.content
FROM LIGHTRAG_GRAPH_EDGES t1
LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id
WHERE t1.workspace=:workspace
order by t1.CREATETIME DESC
fetch first :limit rows only""",
"get_statistics":"""select count(distinct CASE WHEN type='node' THEN id END) as nodes_count,
count(distinct CASE WHEN type='edge' THEN id END) as edges_count
FROM (
select 'node' as type, id FROM GRAPH_TABLE (lightrag_graph
MATCH (a) WHERE a.workspace=:workspace columns(a.name as id))
UNION
select 'edge' as type, TO_CHAR(id) id FROM GRAPH_TABLE (lightrag_graph
MATCH (a)-[e]->(b) WHERE e.workspace=:workspace columns(e.id))
)""",
}