47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
import pandas as pd
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from fastapi import APIRouter, Depends, Request
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import crud, schemas
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from api import deps
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from db.ckdb import get_ck_db, CKDrive
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router = APIRouter()
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@router.post("/sql")
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async def query_sql(
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request: Request,
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data_in: schemas.Sql,
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ckdb: CKDrive = Depends(get_ck_db),
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current_user: schemas.UserDB = Depends(deps.get_current_user)
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) -> schemas.Msg:
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"""原 sql 查询 """
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data = await ckdb.execute(data_in.sql)
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return schemas.Msg(code=0, msg='ok', data=data)
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@router.post("/query")
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async def query(
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request: Request,
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data_in: schemas.CkQuery,
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ckdb: CKDrive = Depends(get_ck_db),
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current_user: schemas.UserDB = Depends(deps.get_current_user)
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) -> schemas.Msg:
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""" json解析 sql 查询"""
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# data, columns = await ckdb.execute(data_in.sql, with_column_types=True, columnar=True)
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# df = pd.DataFrame({col[0]: d for d, col in zip(data, columns)})
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return schemas.Msg(code=0, msg='ok', data=data_in)
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@router.post("/event_model")
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async def event_model(
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request: Request,
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data_in: schemas.CkQuery,
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ckdb: CKDrive = Depends(get_ck_db),
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current_user: schemas.UserDB = Depends(deps.get_current_user)
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) -> schemas.Msg:
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""" json解析 sql 查询"""
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# data, columns = await ckdb.execute(data_in.sql, with_column_types=True, columnar=True)
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# df = pd.DataFrame({col[0]: d for d, col in zip(data, columns)})
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return schemas.Msg(code=0, msg='ok', data=data_in)
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