Fix the bug of AGE processing
This commit is contained in:
@@ -6,7 +6,7 @@ import time
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from dotenv import load_dotenv
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from lightrag import LightRAG, QueryParam
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from lightrag.kg.postgres_impl import PostgreSQLDB, PGGraphStorage
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from lightrag.kg.postgres_impl import PostgreSQLDB
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from lightrag.llm import ollama_embedding, zhipu_complete
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from lightrag.utils import EmbeddingFunc
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@@ -67,7 +67,6 @@ async def main():
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rag.entities_vdb.db = postgres_db
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rag.graph_storage_cls.db = postgres_db
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rag.chunk_entity_relation_graph.db = postgres_db
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await rag.chunk_entity_relation_graph.check_graph_exists()
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# add embedding_func for graph database, it's deleted in commit 5661d76860436f7bf5aef2e50d9ee4a59660146c
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rag.chunk_entity_relation_graph.embedding_func = rag.embedding_func
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@@ -103,21 +102,6 @@ async def main():
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)
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print(f"Hybrid Query Time: {time.time() - start_time} seconds")
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print("**** Start Stream Query ****")
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start_time = time.time()
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# stream response
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resp = await rag.aquery(
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"What are the top themes in this story?",
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param=QueryParam(mode="hybrid", stream=True),
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)
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print(f"Stream Query Time: {time.time() - start_time} seconds")
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print("**** Done Stream Query ****")
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if inspect.isasyncgen(resp):
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asyncio.run(print_stream(resp))
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else:
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print(resp)
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if __name__ == "__main__":
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asyncio.run(main())
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@@ -81,12 +81,12 @@ class PostgreSQLDB:
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async def query(
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self, sql: str, params: dict = None, multirows: bool = False, for_age: bool = False
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self, sql: str, params: dict = None, multirows: bool = False, for_age: bool = False, graph_name: str = None
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) -> Union[dict, None, list[dict]]:
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async with self.pool.acquire() as connection:
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try:
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if for_age:
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await connection.execute('SET search_path = ag_catalog, "$user", public')
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await PostgreSQLDB._prerequisite(connection, graph_name)
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if params:
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rows = await connection.fetch(sql, *params.values())
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else:
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@@ -95,10 +95,7 @@ class PostgreSQLDB:
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if multirows:
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if rows:
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columns = [col for col in rows[0].keys()]
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# print("columns", columns.__class__, columns)
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# print("rows", rows)
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data = [dict(zip(columns, row)) for row in rows]
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# print("data", data)
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else:
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data = []
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else:
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@@ -114,11 +111,11 @@ class PostgreSQLDB:
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print(params)
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raise
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async def execute(self, sql: str, data: Union[list, dict] = None, for_age: bool = False):
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async def execute(self, sql: str, data: Union[list, dict] = None, for_age: bool = False, graph_name: str = None):
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try:
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async with self.pool.acquire() as connection:
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if for_age:
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await connection.execute('SET search_path = ag_catalog, "$user", public')
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await PostgreSQLDB._prerequisite(connection, graph_name)
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if data is None:
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await connection.execute(sql)
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@@ -130,6 +127,14 @@ class PostgreSQLDB:
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print(data)
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raise
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@staticmethod
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async def _prerequisite(conn: asyncpg.Connection, graph_name: str):
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try:
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await conn.execute(f'SET search_path = ag_catalog, "$user", public')
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await conn.execute(f"""select create_graph('{graph_name}')""")
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except asyncpg.exceptions.InvalidSchemaNameError:
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pass
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@dataclass
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class PGKVStorage(BaseKVStorage):
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@@ -346,18 +351,14 @@ class PGVectorStorage(BaseVectorStorage):
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embeddings = await self.embedding_func([query])
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embedding = embeddings[0]
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embedding_string = ",".join(map(str, embedding))
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# print("Namespace", self.namespace)
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sql = SQL_TEMPLATES[self.namespace].format(embedding_string=embedding_string)
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# print("sql is: ", sql)
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params = {
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"workspace": self.db.workspace,
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"better_than_threshold": self.cosine_better_than_threshold,
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"top_k": top_k,
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}
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# print("params is: ", params)
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results = await self.db.query(sql, params=params, multirows=True)
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print("vector search result:", results)
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return results
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@dataclass
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@@ -487,19 +488,6 @@ class PGGraphStorage(BaseGraphStorage):
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async def index_done_callback(self):
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print("KG successfully indexed.")
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async def check_graph_exists(self):
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try:
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res = await self.db.query(f"SELECT * FROM ag_catalog.ag_graph WHERE name = '{self.graph_name}'")
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if res:
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logger.info(f"Graph {self.graph_name} exists.")
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else:
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logger.info(f"Graph {self.graph_name} does not exist. Creating...")
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await self.db.execute(f"SELECT create_graph('{self.graph_name}')", for_age=True)
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logger.info(f"Graph {self.graph_name} created.")
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except Exception as e:
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logger.info(f"Failed to check/create graph {self.graph_name}:", e)
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raise e
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@staticmethod
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def _record_to_dict(record: asyncpg.Record) -> Dict[str, Any]:
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"""
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@@ -572,7 +560,7 @@ class PGGraphStorage(BaseGraphStorage):
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Args:
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properties (Dict[str,str]): a dictionary containing node/edge properties
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id (Union[str, None]): the id of the node or None if none exists
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_id (Union[str, None]): the id of the node or None if none exists
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Returns:
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str: the properties dictionary as a properly formatted string
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@@ -591,7 +579,7 @@ class PGGraphStorage(BaseGraphStorage):
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@staticmethod
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def _encode_graph_label(label: str) -> str:
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"""
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Since AGE suports only alphanumerical labels, we will encode generic label as HEX string
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Since AGE supports only alphanumerical labels, we will encode generic label as HEX string
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Args:
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label (str): the original label
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@@ -604,7 +592,7 @@ class PGGraphStorage(BaseGraphStorage):
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@staticmethod
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def _decode_graph_label(encoded_label: str) -> str:
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"""
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Since AGE suports only alphanumerical labels, we will encode generic label as HEX string
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Since AGE supports only alphanumerical labels, we will encode generic label as HEX string
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Args:
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encoded_label (str): the encoded label
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@@ -657,7 +645,7 @@ class PGGraphStorage(BaseGraphStorage):
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# pgsql template
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template = """SELECT {projection} FROM ag_catalog.cypher('{graph_name}', $$
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{query}
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$$) AS ({fields});"""
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$$) AS ({fields})"""
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# if there are any returned fields they must be added to the pgsql query
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if "return" in query.lower():
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@@ -702,7 +690,7 @@ class PGGraphStorage(BaseGraphStorage):
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projection=select_str,
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)
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async def _query(self, query: str, readonly=True, **params: str) -> List[Dict[str, Any]]:
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async def _query(self, query: str, readonly=True, upsert_edge=False, **params: str) -> List[Dict[str, Any]]:
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"""
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Query the graph by taking a cypher query, converting it to an
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age compatible query, executing it and converting the result
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@@ -720,9 +708,14 @@ class PGGraphStorage(BaseGraphStorage):
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# execute the query, rolling back on an error
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try:
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if readonly:
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data = await self.db.query(wrapped_query, multirows=True, for_age=True)
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data = await self.db.query(wrapped_query, multirows=True, for_age=True, graph_name=self.graph_name)
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else:
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data = await self.db.execute(wrapped_query, for_age=True)
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# for upserting edge, need to run the SQL twice, otherwise cannot update the properties. (First time it will try to create the edge, second time is MERGING)
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# It is a bug of AGE as of 2025-01-03, hope it can be resolved in the future.
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if upsert_edge:
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data = await self.db.execute(f"{wrapped_query};{wrapped_query};", for_age=True, graph_name=self.graph_name)
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else:
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data = await self.db.execute(wrapped_query, for_age=True, graph_name=self.graph_name)
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except Exception as e:
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raise PGGraphQueryException(
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{
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@@ -743,9 +736,7 @@ class PGGraphStorage(BaseGraphStorage):
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async def has_node(self, node_id: str) -> bool:
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entity_name_label = node_id.strip('"')
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query = """
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MATCH (n:`{label}`) RETURN count(n) > 0 AS node_exists
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"""
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query = """MATCH (n:`{label}`) RETURN count(n) > 0 AS node_exists"""
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params = {"label": PGGraphStorage._encode_graph_label(entity_name_label)}
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single_result = (await self._query(query, **params))[0]
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logger.debug(
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@@ -761,10 +752,8 @@ class PGGraphStorage(BaseGraphStorage):
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entity_name_label_source = source_node_id.strip('"')
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entity_name_label_target = target_node_id.strip('"')
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query = """
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MATCH (a:`{src_label}`)-[r]-(b:`{tgt_label}`)
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RETURN COUNT(r) > 0 AS edge_exists
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"""
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query = """MATCH (a:`{src_label}`)-[r]-(b:`{tgt_label}`)
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RETURN COUNT(r) > 0 AS edge_exists"""
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params = {
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"src_label": PGGraphStorage._encode_graph_label(entity_name_label_source),
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"tgt_label": PGGraphStorage._encode_graph_label(entity_name_label_target),
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@@ -780,9 +769,7 @@ class PGGraphStorage(BaseGraphStorage):
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async def get_node(self, node_id: str) -> Union[dict, None]:
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entity_name_label = node_id.strip('"')
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query = """
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MATCH (n:`{label}`) RETURN n
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"""
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query = """MATCH (n:`{label}`) RETURN n"""
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params = {"label": PGGraphStorage._encode_graph_label(entity_name_label)}
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record = await self._query(query, **params)
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if record:
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@@ -800,10 +787,7 @@ class PGGraphStorage(BaseGraphStorage):
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async def node_degree(self, node_id: str) -> int:
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entity_name_label = node_id.strip('"')
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query = """
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MATCH (n:`{label}`)-[]->(x)
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RETURN count(x) AS total_edge_count
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"""
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query = """MATCH (n:`{label}`)-[]->(x) RETURN count(x) AS total_edge_count"""
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params = {"label": PGGraphStorage._encode_graph_label(entity_name_label)}
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record = (await self._query(query, **params))[0]
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if record:
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@@ -841,8 +825,8 @@ class PGGraphStorage(BaseGraphStorage):
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Find all edges between nodes of two given labels
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Args:
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source_node_label (str): Label of the source nodes
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target_node_label (str): Label of the target nodes
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source_node_id (str): Label of the source nodes
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target_node_id (str): Label of the target nodes
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Returns:
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list: List of all relationships/edges found
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@@ -850,11 +834,9 @@ class PGGraphStorage(BaseGraphStorage):
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entity_name_label_source = source_node_id.strip('"')
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entity_name_label_target = target_node_id.strip('"')
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query = """
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MATCH (a:`{src_label}`)-[r]->(b:`{tgt_label}`)
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query = """MATCH (a:`{src_label}`)-[r]->(b:`{tgt_label}`)
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RETURN properties(r) as edge_properties
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LIMIT 1
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"""
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LIMIT 1"""
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params = {
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"src_label": PGGraphStorage._encode_graph_label(entity_name_label_source),
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"tgt_label": PGGraphStorage._encode_graph_label(entity_name_label_target),
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@@ -877,11 +859,9 @@ class PGGraphStorage(BaseGraphStorage):
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"""
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node_label = source_node_id.strip('"')
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query = """
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MATCH (n:`{label}`)
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query = """MATCH (n:`{label}`)
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OPTIONAL MATCH (n)-[r]-(connected)
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RETURN n, r, connected
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"""
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RETURN n, r, connected"""
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params = {"label": PGGraphStorage._encode_graph_label(node_label)}
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results = await self._query(query, **params)
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edges = []
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@@ -919,10 +899,8 @@ class PGGraphStorage(BaseGraphStorage):
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label = node_id.strip('"')
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properties = node_data
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query = """
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MERGE (n:`{label}`)
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SET n += {properties}
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"""
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query = """MERGE (n:`{label}`)
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SET n += {properties}"""
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params = {
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"label": PGGraphStorage._encode_graph_label(label),
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"properties": PGGraphStorage._format_properties(properties),
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@@ -957,22 +935,22 @@ class PGGraphStorage(BaseGraphStorage):
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source_node_label = source_node_id.strip('"')
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target_node_label = target_node_id.strip('"')
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edge_properties = edge_data
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logger.info(f"-- inserting edge: {source_node_label} -> {target_node_label}: {edge_data}")
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query = """
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MATCH (source:`{src_label}`)
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query = """MATCH (source:`{src_label}`)
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WITH source
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MATCH (target:`{tgt_label}`)
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MERGE (source)-[r:DIRECTED]->(target)
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SET r += {properties}
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RETURN r
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"""
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RETURN r"""
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params = {
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"src_label": PGGraphStorage._encode_graph_label(source_node_label),
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"tgt_label": PGGraphStorage._encode_graph_label(target_node_label),
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"properties": PGGraphStorage._format_properties(edge_properties),
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}
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# logger.info(f"-- inserting edge after formatted: {params}")
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try:
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await self._query(query, readonly=False, **params)
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await self._query(query, readonly=False, upsert_edge=True, **params)
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logger.debug(
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"Upserted edge from '{%s}' to '{%s}' with properties: {%s}",
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source_node_label,
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@@ -1127,7 +1105,7 @@ SQL_TEMPLATES = {
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updatetime = CURRENT_TIMESTAMP
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""",
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"upsert_entity": """INSERT INTO LIGHTRAG_VDB_ENTITY (workspace, id, entity_name, content, content_vector)
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VALUES ($1, $2, $3, $4, $5, $6)
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VALUES ($1, $2, $3, $4, $5)
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ON CONFLICT (workspace,id) DO UPDATE
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SET entity_name=EXCLUDED.entity_name,
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content=EXCLUDED.content,
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|
122
lightrag/kg/postgres_impl_test.py
Normal file
122
lightrag/kg/postgres_impl_test.py
Normal file
@@ -0,0 +1,122 @@
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import asyncio
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import asyncpg
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import sys, os
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import psycopg
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from psycopg_pool import AsyncConnectionPool
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from lightrag.kg.postgres_impl import PostgreSQLDB, PGGraphStorage
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DB="rag"
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USER="rag"
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PASSWORD="rag"
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HOST="localhost"
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PORT="15432"
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os.environ["AGE_GRAPH_NAME"] = "dickens"
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if sys.platform.startswith("win"):
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import asyncio.windows_events
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asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
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async def get_pool():
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return await asyncpg.create_pool(
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f"postgres://{USER}:{PASSWORD}@{HOST}:{PORT}/{DB}",
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min_size=10, # 连接池初始化时默认的最小连接数, 默认为1 0
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max_size=10, # 连接池的最大连接数, 默认为 10
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max_queries=5000, # 每个链接最大查询数量, 超过了就换新的连接, 默认 5000
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# 最大不活跃时间, 默认 300.0, 超过这个时间的连接就会被关闭, 传入 0 的话则永不关闭
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max_inactive_connection_lifetime=300.0
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)
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async def main1():
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connection_string = f"dbname='{DB}' user='{USER}' password='{PASSWORD}' host='{HOST}' port={PORT}"
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pool = AsyncConnectionPool(connection_string, open=False)
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await pool.open()
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try:
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conn = await pool.getconn(timeout=10)
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async with conn.cursor() as curs:
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try:
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await curs.execute('SET search_path = ag_catalog, "$user", public')
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await curs.execute(f"SELECT create_graph('dickens-2')")
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await conn.commit()
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print("create_graph success")
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except (
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psycopg.errors.InvalidSchemaName,
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psycopg.errors.UniqueViolation,
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):
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print("create_graph already exists")
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await conn.rollback()
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finally:
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pass
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db = PostgreSQLDB(
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config={
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"host": "localhost",
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"port": 15432,
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"user": "rag",
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"password": "rag",
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"database": "rag",
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}
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)
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async def query_with_age():
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await db.initdb()
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graph = PGGraphStorage(
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namespace="chunk_entity_relation",
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global_config={},
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embedding_func=None,
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)
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graph.db = db
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res = await graph.get_node('"CHRISTMAS-TIME"')
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print("Node is: ", res)
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async def create_edge_with_age():
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await db.initdb()
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graph = PGGraphStorage(
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namespace="chunk_entity_relation",
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global_config={},
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embedding_func=None,
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)
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graph.db = db
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await graph.upsert_node('"THE CRATCHITS"', {"hello": "world"})
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await graph.upsert_node('"THE GIRLS"', {"world": "hello"})
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await graph.upsert_edge(
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'"THE CRATCHITS"',
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'"THE GIRLS"',
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edge_data={
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"weight": 7.0,
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"description": '"The girls are part of the Cratchit family, contributing to their collective efforts and shared experiences.',
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||||
"keywords": '"family, collective effort"',
|
||||
"source_id": "chunk-1d4b58de5429cd1261370c231c8673e8",
|
||||
},
|
||||
)
|
||||
res = await graph.get_edge('THE CRATCHITS', '"THE GIRLS"')
|
||||
print("Edge is: ", res)
|
||||
|
||||
|
||||
async def main():
|
||||
pool = await get_pool()
|
||||
# 如果还有其它什么特殊参数,也可以直接往里面传递,因为设置了 **connect_kwargs
|
||||
# 专门用来设置一些数据库独有的某些属性
|
||||
# 从池子中取出一个连接
|
||||
sql = r"SELECT * FROM ag_catalog.cypher('dickens', $$ MATCH (n:帅哥) RETURN n $$) AS (n ag_catalog.agtype)"
|
||||
# cypher = "MATCH (n:how_are_you_doing) RETURN n"
|
||||
async with pool.acquire() as conn:
|
||||
try:
|
||||
await conn.execute("""SET search_path = ag_catalog, "$user", public;select create_graph('dickens')""")
|
||||
except asyncpg.exceptions.InvalidSchemaNameError:
|
||||
print("create_graph already exists")
|
||||
# stmt = await conn.prepare(sql)
|
||||
row = await conn.fetch(sql)
|
||||
print("row is: ", row)
|
||||
|
||||
# 解决办法就是起一个别名
|
||||
row = await conn.fetchrow("select '100'::int + 200 as result")
|
||||
print(row) # <Record result=300>
|
||||
# 我们的连接是从池子里面取出的,上下文结束之后会自动放回到到池子里面
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
asyncio.run(query_with_age())
|
||||
|
||||
|
Reference in New Issue
Block a user