mxr612 72db5c8b83 feat: 新增中庸实践思维量表和SCL90量表
新增中文版中庸实践思维量表和英文版SCL90量表,用于心理评估。同时优化了加载问卷数据的逻辑,支持递归遍历文件夹以加载所有问卷文件。
2025-04-22 21:19:22 +08:00

110 lines
4.3 KiB
Python

from fastapi import FastAPI, Request, HTTPException
from fastapi.responses import HTMLResponse
import markdown
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
import json, yaml
import os
import uvicorn
app = FastAPI()
templates = Jinja2Templates(directory="templates")
app.mount("/static", StaticFiles(directory="static"), name="static")
# 加载所有问卷数据
def load_all_scales():
scales = {}
tags = {}
try:
with open(os.path.join('tagmap.yml'), 'r', encoding='utf-8') as f:
tagmap = yaml.safe_load(f)
except Exception as e:
print(f"Error loading scale langmap: {e}")
for root, dirs, files in os.walk(os.path.realpath('scales')):
for filename in files:
if filename.endswith(('.yaml', '.yml')):
try:
with open(os.path.join(root, filename), 'r', encoding='utf-8') as f:
scale = yaml.safe_load(f)
scale['instructions']=markdown.markdown(scale['instructions'], extensions=['fenced_code','tables','mdx_math'])
scale['descriptions']=markdown.markdown(scale['descriptions'], extensions=['fenced_code','tables','mdx_math'])
scale['abstract']=markdown.markdown(scale['abstract'], extensions=['fenced_code','tables','mdx_math'])
if 'tag' not in scale or scale['tag'] not in tagmap:
scale['tag']='other'
tags[scale['tag']]=tagmap[scale['tag']]
scale_id = os.path.splitext(filename)[0] # 使用文件名作为标识
scales[scale_id] = scale
except Exception as e:
print(f"Error loading scale {filename}: {e}")
return tags, scales
@app.get("/", response_class=HTMLResponse)
async def index(request: Request):
tags, _ = load_all_scales()
# 新增读取README.md的逻辑
readme_content = ""
try:
with open("README.md", "r", encoding="utf-8") as f:
readme_content = markdown.markdown(f.read())
except FileNotFoundError:
pass # 如果README不存在则静默失败
return templates.TemplateResponse("index.html", {
"request": request,
"tags": tags,
"readme_content": readme_content # 新增模板变量
})
@app.get("/tag/{tag}", response_class=HTMLResponse)
async def list(request: Request, tag: str):
tags, scales = load_all_scales()
return templates.TemplateResponse("list.html", {
"request": request,
"tags": tags,
"scales": scales,
"tag": tag
})
@app.get("/scales/{scale_id}", response_class=HTMLResponse)
async def scale(request: Request, scale_id: str):
tags, scales = load_all_scales()
scale = scales.get(scale_id)
if scale:
return templates.TemplateResponse("scale.html", {
"request": request,
"scale_id": scale_id,
"scale": scale,
"tags":tags
})
raise HTTPException(status_code=404, detail="问卷未找到")
@app.post("/scales/{scale_id}", response_class=HTMLResponse)
async def result(request: Request, scale_id: str):
form_data = await request.form()
tags, scales = load_all_scales()
scale = scales.get(scale_id)
if scale:
# 这里可以添加保存数据到数据库等逻辑
responses = {}
options = {}
for subscale, qids in scale['subscales'].items():
responses[subscale] = 0
min_val = min(scale['options'].keys())
max_val = max(scale['options'].keys())
options[subscale] = [min_val*len(qids),max_val*len(qids)]
for qid in qids:
if qid<0:
responses[subscale] += min_val + max_val - int(form_data[str(-qid)])
else:
responses[subscale] += int(form_data[str(qid)])
return templates.TemplateResponse("result.html", {
"request": request,
"responses": responses,
"options": options,
"scale": scale,
"tags":tags
})
raise HTTPException(status_code=404, detail="问卷未找到")
if __name__ == '__main__':
uvicorn.run(app,host='0.0.0.0',port=8000)