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neo4j-patterns

Neo4j driver best practices for Python. Use when working with Neo4j connections, Cypher queries, transactions, or GraphRAG implementations.

arthurfantaci☆ 0 仓库 Stars0 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

Neo4j Driver Best Practices

Connection URI Schemes

Scheme Use Case TLS Routing
neo4j+s:// Production (Aura, clusters) ✅ ✅
neo4j:// Local development ❌ ✅
bolt:// Single instance only ❌ ❌

ALWAYS use neo4j+s:// for production deployments.

Driver Instance Pattern

✅ GOOD - Create once, reuse:

from contextlib import asynccontextmanager
from neo4j import GraphDatabase

@asynccontextmanager
async def lifespan(app):
    driver = GraphDatabase.driver(
        config.neo4j_uri,
        auth=(config.neo4j_username, config.neo4j_password),
        max_connection_pool_size=5,  # Small for serverless
    )
    driver.verify_connectivity()
    try:
        yield {"driver": driver}
    finally:
        driver.close()

❌ BAD - Creates new driver per request:

def query(cypher):
    driver = GraphDatabase.driver(...)  # DON'T DO THIS
    result = driver.execute_query(cypher)
    driver.close()
    return result

Transaction Functions

✅ GOOD - Use execute_read/execute_write:

def get_articles(driver: Driver, topic: str) -> list[dict]:
    def _query(tx, topic):
        result = tx.run(
            "MATCH (a:Article) WHERE a.topic = $topic RETURN a",
            topic=topic
        )
        return [record.data() for record in result]  # Process IN transaction

    with driver.session(database="neo4j") as session:
        return session.execute_read(_query, topic)

❌ BAD - Auto-commit with session.run:

def get_articles(driver, topic):
    with driver.session() as session:
        result = session.run(f"MATCH (a:Article) WHERE a.topic = '{topic}' RETURN a")
    return [r.data() for r in result]  # Result consumed OUTSIDE transaction!

Query Parameters

✅ GOOD - Always use parameters:

tx.run("MATCH (e) WHERE e.name = $name RETURN e", name=user_input)

❌ BAD - String concatenation (SQL injection risk):

tx.run(f"MATCH (e) WHERE e.name = '{user_input}' RETURN e")

Serverless Optimization

For Vercel/Lambda deployments:

max_connection_pool_size=5,           # Small pool
connection_acquisition_timeout=30.0,   # Cold start tolerance

Result Processing

ALWAYS process results within transaction scope:

def _query(tx, params):
    result = tx.run(query, params)
    return [record.data() for record in result]  # ✅ Inside transaction

# NOT this:
result = session.run(query)
return [record.data() for record in result]  # ❌ Outside transaction

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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