一个知识问答系统,用户的选择决定接下来出现的问题,且下一个问题的呈现取决于前面几个问题的回答,我们需要设计一个更复杂的图结构来表示这些关系。
设计图结构
- Question节点:表示问题。
- Answer节点:表示答案。
- HAS_ANSWER关系:链接问题和答案。
- DEPENDS_ON关系:链接下一个问题与依赖的答案。
图数据库架构
-
Question节点:
id:问题ID。text:问题文本。is_multiple_choice:是否为多选题。
-
Answer节点:
id:答案ID。text:答案文本。is_correct:是否为正确答案(可选)。
-
HAS_ANSWER关系:
- 从Question到Answer。
-
DEPENDS_ON关系:
- 从Question到Answer,表示下一个问题依赖于多个前面问题的答案。
实现步骤
1. 安装和配置依赖
首先安装Neo4j驱动:
pip install neo4j
2. 初始化Neo4j连接
from neo4j import GraphDatabase
class Neo4jConnection:
def __init__(self, uri, user, pwd):
self.__uri = uri
self.__user = user
self.__password = pwd
self.__driver = None
try:
self.__driver = GraphDatabase.driver(self.__uri, auth=(self.__user, self.__password))
except Exception as e:
print("Failed to create the driver:", e)
def close(self):
if self.__driver is not None:
self.__driver.close()
def query(self, query, parameters=None, db=None):
assert self.__driver is not None, "Driver not initialized!"
session = None
response = None
try:
session = self.__driver.session(database=db) if db is not None else self.__driver.session()
response = list(session.run(query, parameters))
except Exception as e:
print("Query failed:", e)
finally:
if session is not None:
session.close()
return response
# Initialize connection
conn = Neo4jConnection(uri="bolt://localhost:7687", user="neo4j", pwd="password")
3. 定义数据模型
from pydantic import BaseModel
from typing import List
class Answer(BaseModel):
id: str
text: str
is_correct: bool = False
class Question(BaseModel):
id: str
text: str
is_multiple_choice: bool
answers: List[Answer]
class Dependency(BaseModel):
question_id: str
depends_on: List[str] # List of answer IDs that the question depends on
4. FastAPI路由和业务逻辑
from fastapi import FastAPI, HTTPException
from typing import List
app = FastAPI()
@app.post("/questions/")
def create_question(question: Question):
query = """
CREATE (q:Question {id: $id, text: $text, is_multiple_choice: $is_multiple_choice})
WITH q
UNWIND $answers AS answer
CREATE (a:Answer {id: answer.id, text: answer.text, is_correct: answer.is_correct})
CREATE (q)-[:HAS_ANSWER]->(a)
"""
conn.query(query, parameters={"id": question.id, "text": question.text, "is_multiple_choice": question.is_multiple_choice, "answers": [a.dict() for a in question.answers]})
return {"status": "Question created"}
@app.post("/dependencies/")
def create_dependency(dependency: Dependency):
for answer_id in dependency.depends_on:
query = """
MATCH (q:Question {id: $question_id}), (a:Answer {id: $answer_id})
CREATE (q)-[:DEPENDS_ON]->(a)
"""
conn.query(query, parameters={"question_id": dependency.question_id, "answer_id": answer_id})
return {"status": "Dependency created"}
@app.get("/questions/{question_id}", response_model=Question)
def get_question(question_id: str):
query = """
MATCH (q:Question {id: $id})-[:HAS_ANSWER]->(a:Answer)
RETURN q, collect(a) as answers
"""
result = conn.query(query, parameters={"id": question_id})
if not result:
raise HTTPException(status_code=404, detail="Question not found")
record = result[0]
question_node = record["q"]
answers = [Answer(id=answer["id"], text=answer["text"], is_correct=answer["is_correct"]) for answer in record["answers"]]
question = Question(id=question_node["id"], text=question_node["text"], is_multiple_choice=question_node["is_multiple_choice"], answers=answers)
return question
@app.post("/questions/{question_id}/next/")
def get_next_question(question_id: str, selected_answers: List[str]):
query = """
MATCH (next_q:Question)-[:DEPENDS_ON]->(a:Answer)
WHERE a.id IN $selected_answers
RETURN next_q
"""
result = conn.query(query, parameters={"selected_answers": selected_answers})
if not result:
raise HTTPException(status_code=404, detail="No dependent questions found")
next_question_id = result[0]["next_q"]["id"]
return get_question(next_question_id)
5. 运行应用
确保Neo4j数据库已启动并运行,然后启动FastAPI应用:
uvicorn main:app --reload
结论
通过使用图数据库(例如Neo4j),可以方便地管理和查询问题和答案之间的复杂关系。该系统的设计灵活且易于扩展,能够有效地处理用户选择和问题依赖之间的动态关系。根据前面多个问题的回答来决定下一个问题,通过创建复杂的依赖关系和相应的查询逻辑实现。

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