62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
# -------------------------------------
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# @file : SubdoaminTaker.py
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# @author : Autumn
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# @contact : rainy-autumn@outlook.com
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# @time : 2024/4/27 15:41
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# -------------------------------------------
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from fastapi import APIRouter, Depends
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from motor.motor_asyncio import AsyncIOMotorCursor
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from api.users import verify_token
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from core.db import get_mongo_db
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from core.util import search_to_mongodb, get_search_query
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from loguru import logger
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router = APIRouter()
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@router.post("/subdomaintaker/data")
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async def get_subdomaintaker_data(request_data: dict, db=Depends(get_mongo_db), _: dict = Depends(verify_token)):
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try:
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search_query = request_data.get("search", "")
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page_index = request_data.get("pageIndex", 1)
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page_size = request_data.get("pageSize", 10)
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# MongoDB collection for SensitiveRule
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# Fuzzy search based on the name field
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query = await get_search_query("subdomainTaker", request_data)
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if query == "":
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return {"message": "Search condition parsing error", "code": 500}
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# Get the total count of documents matching the search criteria
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total_count = await db.SubdoaminTakerResult.count_documents(query)
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if total_count == 0:
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return {
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"code": 200,
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"data": {
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'list': [],
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'total': 0
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}
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}
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# Perform pagination query
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cursor: AsyncIOMotorCursor = db.SubdoaminTakerResult.find(query).skip((page_index - 1) * page_size).limit(page_size)
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result = await cursor.to_list(length=None)
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# Process the result as needed
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response_data = []
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for doc in result:
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data = {
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"host": doc["input"],
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"value": doc["value"],
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"type": doc["cname"],
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"response": doc["response"],
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"id": str(doc["_id"])
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}
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response_data.append(data)
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return {
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"code": 200,
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"data": {
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'list': response_data,
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'total': total_count
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}
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}
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except Exception as e:
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logger.error(str(e))
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# Handle exceptions as needed
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return {"message": "error","code":500} |