import asyncio
import hashlib
import io
import os
import traceback
import uuid
from io import StringIO
from typing import List
from urllib.parse import quote

import orjson
import pandas as pd
from fastapi import APIRouter, File, UploadFile, HTTPException, Path
from fastapi.responses import StreamingResponse
from sqlalchemy import and_

from apps.db.db import get_schema
from apps.db.engine import get_engine_conn
from apps.swagger.i18n import PLACEHOLDER_PREFIX
from apps.system.schemas.permission import SqlbotPermission, require_permissions
from common.core.config import settings
from common.core.deps import SessionDep, CurrentUser, Trans
from common.utils.utils import SQLBotLogUtil
from ..crud.datasource import get_datasource_list, check_status, create_ds, update_ds, delete_ds, getTables, getFields, \
    execSql, update_table_and_fields, getTablesByDs, chooseTables, preview, updateTable, updateField, get_ds, fieldEnum, \
    check_status_by_id, sync_single_fields
from ..crud.field import get_fields_by_table_id
from ..crud.table import get_tables_by_ds_id
from ..models.datasource import CoreDatasource, CreateDatasource, TableObj, CoreTable, CoreField, FieldObj, \
    TableSchemaResponse, ColumnSchemaResponse, PreviewResponse
from common.audit.models.log_model import OperationType, OperationModules
from common.audit.schemas.logger_decorator import LogConfig, system_log

router = APIRouter(tags=["Datasource"], prefix="/datasource")
path = settings.EXCEL_PATH


@router.get("/ws/{oid}", include_in_schema=False)
async def query_by_oid(session: SessionDep, user: CurrentUser, oid: int) -> List[CoreDatasource]:
    if not user.isAdmin:
        raise Exception("no permission to execute")
    return get_datasource_list(session=session, user=user, oid=oid)


@router.get("/list", response_model=List[CoreDatasource], summary=f"{PLACEHOLDER_PREFIX}ds_list",
            description=f"{PLACEHOLDER_PREFIX}ds_list_description")
async def datasource_list(session: SessionDep, user: CurrentUser):
    return get_datasource_list(session=session, user=user)


@router.post("/get/{id}", response_model=CoreDatasource, summary=f"{PLACEHOLDER_PREFIX}ds_get")
async def get_datasource(session: SessionDep, id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    return get_ds(session, id)


@router.post("/check", response_model=bool, summary=f"{PLACEHOLDER_PREFIX}ds_check")
async def check(session: SessionDep, trans: Trans, ds: CoreDatasource):
    def inner():
        return check_status(session, trans, ds, True)

    return await asyncio.to_thread(inner)


@router.get("/check/{ds_id}", response_model=bool, summary=f"{PLACEHOLDER_PREFIX}ds_check")
async def check_by_id(session: SessionDep, trans: Trans,
                      ds_id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    def inner():
        return check_status_by_id(session, trans, ds_id, True)

    return await asyncio.to_thread(inner)


@router.post("/add", response_model=CoreDatasource, summary=f"{PLACEHOLDER_PREFIX}ds_add")
@system_log(LogConfig(operation_type=OperationType.CREATE, module=OperationModules.DATASOURCE, result_id_expr="id"))
async def add(session: SessionDep, trans: Trans, user: CurrentUser, ds: CreateDatasource):
    def inner():
        return create_ds(session, trans, user, ds)

    return await asyncio.to_thread(inner)


@router.post("/chooseTables/{id}", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_choose_tables")
async def choose_tables(session: SessionDep, trans: Trans, tables: List[CoreTable],
                        id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    def inner():
        chooseTables(session, trans, id, tables)

    await asyncio.to_thread(inner)


@router.post("/update", response_model=CoreDatasource, summary=f"{PLACEHOLDER_PREFIX}ds_update")
@require_permissions(permission=SqlbotPermission(type='ds', keyExpression="ds.id"))
@system_log(
    LogConfig(operation_type=OperationType.UPDATE, module=OperationModules.DATASOURCE, resource_id_expr="ds.id"))
async def update(session: SessionDep, trans: Trans, user: CurrentUser, ds: CoreDatasource):
    def inner():
        return update_ds(session, trans, user, ds)

    return await asyncio.to_thread(inner)


@router.post("/delete/{id}/{name}", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_delete")
@require_permissions(permission=SqlbotPermission(type='ds', keyExpression="id"))
@system_log(LogConfig(operation_type=OperationType.DELETE, module=OperationModules.DATASOURCE, resource_id_expr="id",
                      ))
async def delete(session: SessionDep, id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id"), name: str = None):
    return delete_ds(session, id)


@router.post("/getTables/{id}", response_model=List[TableSchemaResponse], summary=f"{PLACEHOLDER_PREFIX}ds_get_tables")
@require_permissions(permission=SqlbotPermission(type='ds', keyExpression="id"))
async def get_tables(session: SessionDep, id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    return getTables(session, id)


@router.post("/getTablesByConf", response_model=List[TableSchemaResponse], summary=f"{PLACEHOLDER_PREFIX}ds_get_tables")
async def get_tables_by_conf(session: SessionDep, trans: Trans, ds: CoreDatasource):
    try:
        def inner():
            return getTablesByDs(session, ds)

        return await asyncio.to_thread(inner)
    except Exception as e:
        # check ds status
        def inner():
            return check_status(session, trans, ds, True)

        status = await asyncio.to_thread(inner)
        if status:
            SQLBotLogUtil.error(f"get table failed: {e}")
            raise HTTPException(status_code=500, detail=f'Get table Failed: {e.args}')


@router.post("/getSchemaByConf", response_model=List[str], summary=f"{PLACEHOLDER_PREFIX}ds_get_schema")
async def get_schema_by_conf(session: SessionDep, trans: Trans, ds: CoreDatasource):
    try:
        def inner():
            return get_schema(ds)

        return await asyncio.to_thread(inner)
    except Exception as e:
        # check ds status
        def inner():
            return check_status(session, trans, ds, True)

        status = await asyncio.to_thread(inner)
        if status:
            SQLBotLogUtil.error(f"get table failed: {e}")
            raise HTTPException(status_code=500, detail=f'Get table Failed: {e.args}')


@router.post("/getFields/{id}/{table_name}", response_model=List[ColumnSchemaResponse],
             summary=f"{PLACEHOLDER_PREFIX}ds_get_fields")
async def get_fields(session: SessionDep,
                     id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id"),
                     table_name: str = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_table_name")):
    return getFields(session, id, table_name)


@router.post("/syncFields/{id}", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_sync_fields")
async def sync_fields(session: SessionDep, trans: Trans,
                      id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_table_id")):
    return sync_single_fields(session, trans, id)


from pydantic import BaseModel


class TestObj(BaseModel):
    sql: str = None


# not used, just do test
@router.post("/execSql/{id}", include_in_schema=False)
async def exec_sql(session: SessionDep, id: int, obj: TestObj):
    def inner():
        data = execSql(session, id, obj.sql)
        try:
            data_obj = data.get('data')
            # print(orjson.dumps(data, option=orjson.OPT_NON_STR_KEYS).decode())
            print(orjson.dumps(data_obj).decode())
        except Exception:
            traceback.print_exc()

        return data

    return await asyncio.to_thread(inner)


@router.post("/tableList/{id}", response_model=List[CoreTable], summary=f"{PLACEHOLDER_PREFIX}ds_table_list")
async def table_list(session: SessionDep, id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    return get_tables_by_ds_id(session, id)


@router.post("/fieldList/{id}", response_model=List[CoreField], summary=f"{PLACEHOLDER_PREFIX}ds_field_list")
async def field_list(session: SessionDep, field: FieldObj,
                     id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_table_id")):
    return get_fields_by_table_id(session, id, field)


@router.post("/editLocalComment", include_in_schema=False)
async def edit_local(session: SessionDep, data: TableObj):
    update_table_and_fields(session, data)


@router.post("/editTable", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_edit_table")
async def edit_table(session: SessionDep, table: CoreTable):
    updateTable(session, table)


@router.post("/editField", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_edit_field")
async def edit_field(session: SessionDep, field: CoreField):
    updateField(session, field)


@router.post("/previewData/{id}", response_model=PreviewResponse, summary=f"{PLACEHOLDER_PREFIX}ds_preview_data")
async def preview_data(session: SessionDep, trans: Trans, current_user: CurrentUser, data: TableObj,
                       id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    def inner():
        try:
            return preview(session, current_user, id, data)
        except Exception as e:
            ds = session.query(CoreDatasource).filter(CoreDatasource.id == id).first()
            # check ds status
            status = check_status(session, trans, ds, True)
            if status:
                SQLBotLogUtil.error(f"Preview failed: {e}")
                raise HTTPException(status_code=500, detail=f'Preview Failed: {e.args}')

    return await asyncio.to_thread(inner)


# not used
@router.post("/fieldEnum/{id}", include_in_schema=False)
async def field_enum(session: SessionDep, id: int):
    def inner():
        return fieldEnum(session, id)

    return await asyncio.to_thread(inner)


# @router.post("/uploadExcel")
# async def upload_excel(session: SessionDep, file: UploadFile = File(...)):
#     ALLOWED_EXTENSIONS = {"xlsx", "xls", "csv"}
#     if not file.filename.lower().endswith(tuple(ALLOWED_EXTENSIONS)):
#         raise HTTPException(400, "Only support .xlsx/.xls/.csv")
#
#     os.makedirs(path, exist_ok=True)
#     filename = f"{file.filename.split('.')[0]}_{hashlib.sha256(uuid.uuid4().bytes).hexdigest()[:10]}.{file.filename.split('.')[1]}"
#     save_path = os.path.join(path, filename)
#     with open(save_path, "wb") as f:
#         f.write(await file.read())
#
#     def inner():
#         sheets = []
#         with get_data_engine() as conn:
#             if filename.endswith(".csv"):
#                 df = pd.read_csv(save_path, engine='c')
#                 tableName = f"sheet1_{hashlib.sha256(uuid.uuid4().bytes).hexdigest()[:10]}"
#                 sheets.append({"tableName": tableName, "tableComment": ""})
#                 column_len = len(df.dtypes)
#                 fields = []
#                 for i in range(column_len):
#                     # build fields
#                     fields.append({"name": df.columns[i], "type": str(df.dtypes[i]), "relType": ""})
#                 # create table
#                 create_table(conn, tableName, fields)
#
#                 data = [
#                     {df.columns[i]: None if pd.isna(row[i]) else (int(row[i]) if "int" in str(df.dtypes[i]) else row[i])
#                      for i in range(len(row))}
#                     for row in df.values
#                 ]
#                 # insert data
#                 insert_data(conn, tableName, fields, data)
#             else:
#                 excel_engine = 'xlrd' if filename.endswith(".xls") else 'openpyxl'
#                 df_sheets = pd.read_excel(save_path, sheet_name=None, engine=excel_engine)
#                 # build columns and data to insert db
#                 for sheet_name, df in df_sheets.items():
#                     tableName = f"{sheet_name}_{hashlib.sha256(uuid.uuid4().bytes).hexdigest()[:10]}"
#                     sheets.append({"tableName": tableName, "tableComment": ""})
#                     column_len = len(df.dtypes)
#                     fields = []
#                     for i in range(column_len):
#                         # build fields
#                         fields.append({"name": df.columns[i], "type": str(df.dtypes[i]), "relType": ""})
#                     # create table
#                     create_table(conn, tableName, fields)
#
#                     data = [
#                         {df.columns[i]: None if pd.isna(row[i]) else (
#                             int(row[i]) if "int" in str(df.dtypes[i]) else row[i])
#                          for i in range(len(row))}
#                         for row in df.values
#                     ]
#                     # insert data
#                     insert_data(conn, tableName, fields, data)
#
#         os.remove(save_path)
#         return {"filename": filename, "sheets": sheets}
#
#     return await asyncio.to_thread(inner)


@router.post("/uploadExcel", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_upload_excel")
async def upload_excel(session: SessionDep, file: UploadFile = File(..., description=f"{PLACEHOLDER_PREFIX}ds_excel")):
    ALLOWED_EXTENSIONS = {"xlsx", "xls", "csv"}
    if not file.filename.lower().endswith(tuple(ALLOWED_EXTENSIONS)):
        raise HTTPException(400, "Only support .xlsx/.xls/.csv")

    os.makedirs(path, exist_ok=True)
    filename = f"{file.filename.split('.')[0]}_{hashlib.sha256(uuid.uuid4().bytes).hexdigest()[:10]}.{file.filename.split('.')[1]}"
    save_path = os.path.join(path, filename)
    with open(save_path, "wb") as f:
        f.write(await file.read())

    def inner():
        sheets = []
        engine = get_engine_conn()
        if filename.endswith(".csv"):
            df = pd.read_csv(save_path, engine='c')
            tableName = f"sheet1_{hashlib.sha256(uuid.uuid4().bytes).hexdigest()[:10]}"
            sheets.append({"tableName": tableName, "tableComment": ""})
            insert_pg(df, tableName, engine)
        else:
            sheet_names = pd.ExcelFile(save_path).sheet_names
            for sheet_name in sheet_names:
                tableName = f"{sheet_name}_{hashlib.sha256(uuid.uuid4().bytes).hexdigest()[:10]}"
                sheets.append({"tableName": tableName, "tableComment": ""})
                # df_temp = pd.read_excel(save_path, nrows=5)
                # non_empty_cols = df_temp.columns[df_temp.notna().any()].tolist()
                df = pd.read_excel(save_path, sheet_name=sheet_name, engine='calamine')
                insert_pg(df, tableName, engine)

        # os.remove(save_path)
        return {"filename": filename, "sheets": sheets}

    return await asyncio.to_thread(inner)


def insert_pg(df, tableName, engine):
    # fix field type
    for i in range(len(df.dtypes)):
        if str(df.dtypes[i]) == 'uint64':
            df[str(df.columns[i])] = df[str(df.columns[i])].astype('string')

    conn = engine.raw_connection()
    cursor = conn.cursor()
    try:
        df.to_sql(
            tableName,
            engine,
            if_exists='replace',
            index=False
        )
        # trans csv
        output = StringIO()
        df.to_csv(output, sep='\t', header=False, index=False)
        # output.seek(0)

        # pg copy
        cursor.copy_expert(
            sql=f"""COPY "{tableName}" FROM STDIN WITH CSV DELIMITER E'\t'""",
            file=output
        )
        conn.commit()
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(400, str(e))
    finally:
        cursor.close()
        conn.close()


t_sheet = "数据表列表"
t_s_col = "Sheet名称"
t_n_col = "表名"
t_c_col = "表备注"
f_n_col = "字段名"
f_c_col = "字段备注"


@router.get("/exportDsSchema/{id}", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_export_ds_schema")
async def export_ds_schema(session: SessionDep, id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id")):
    # {
    #     'sheet':'', sheet name
    #     'c1_h':'', column1 column name
    #     'c2_h':'', column2 column name
    #     'c1':[], column1 data
    #     'c2':[], column2 data
    # }
    def inner():
        if id == 0:  # download template
            file_name = '批量上传备注'
            df_list = [
                {'sheet': t_sheet, 'c0_h': t_s_col, 'c1_h': t_n_col, 'c2_h': t_c_col, 'c0': ["数据表1", "数据表2"],
                 'c1': ["user", "score"],
                 'c2': ["用来存放用户信息的数据表", "用来存放用户课程信息的数据表"]},
                {'sheet': '数据表1', 'c1_h': f_n_col, 'c2_h': f_c_col, 'c1': ["id", "name"],
                 'c2': ["用户id", "用户姓名"]},
                {'sheet': '数据表2', 'c1_h': f_n_col, 'c2_h': f_c_col, 'c1': ["course", "user_id", "score"],
                 'c2': ["课程名称", "用户ID", "课程得分"]},
            ]
        else:
            ds = session.query(CoreDatasource).filter(CoreDatasource.id == id).first()
            file_name = ds.name
            tables = session.query(CoreTable).filter(CoreTable.ds_id == id).order_by(
                CoreTable.table_name.asc()).all()
            if len(tables) == 0:
                raise HTTPException(400, "No tables")

            df_list = []
            df1 = {'sheet': t_sheet, 'c0_h': t_s_col, 'c1_h': t_n_col, 'c2_h': t_c_col, 'c0': [], 'c1': [], 'c2': []}
            df_list.append(df1)
            for index, table in enumerate(tables):
                df1['c0'].append(f"Sheet{index}")
                df1['c1'].append(table.table_name)
                df1['c2'].append(table.custom_comment)

                fields = session.query(CoreField).filter(CoreField.table_id == table.id).order_by(
                    CoreField.field_index.asc()).all()
                df_fields = {'sheet': f"Sheet{index}", 'c1_h': f_n_col, 'c2_h': f_c_col, 'c1': [], 'c2': []}
                for field in fields:
                    df_fields['c1'].append(field.field_name)
                    df_fields['c2'].append(field.custom_comment)
                df_list.append(df_fields)

        # build dataframe and export
        output = io.BytesIO()

        with (pd.ExcelWriter(output, engine='xlsxwriter') as writer):
            for index, df in enumerate(df_list):
                if index == 0:
                    pd.DataFrame({df['c0_h']: df['c0'], df['c1_h']: df['c1'], df['c2_h']: df['c2']}
                                 ).to_excel(writer, sheet_name=df['sheet'], index=False)
                else:
                    pd.DataFrame({df['c1_h']: df['c1'], df['c2_h']: df['c2']}).to_excel(writer, sheet_name=df['sheet'],
                                                                                        index=False)

        output.seek(0)

        filename = f'{file_name}.xlsx'
        encoded_filename = quote(filename)
        return io.BytesIO(output.getvalue())

    # headers = {
    #     'Content-Disposition': f"attachment; filename*=UTF-8''{encoded_filename}"
    # }

    result = await asyncio.to_thread(inner)
    return StreamingResponse(
        result,
        media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
    )


@router.post("/uploadDsSchema/{id}", response_model=None, summary=f"{PLACEHOLDER_PREFIX}ds_upload_ds_schema")
async def upload_ds_schema(session: SessionDep, id: int = Path(..., description=f"{PLACEHOLDER_PREFIX}ds_id"),
                           file: UploadFile = File(...)):
    ALLOWED_EXTENSIONS = {"xlsx", "xls"}
    if not file.filename.lower().endswith(tuple(ALLOWED_EXTENSIONS)):
        raise HTTPException(400, "Only support .xlsx/.xls")

    try:
        contents = await file.read()
        excel_file = io.BytesIO(contents)

        sheet_names = pd.ExcelFile(excel_file, engine="openpyxl").sheet_names

        excel_file.seek(0)

        field_sheets = []
        table_sheet = None  # []
        for sheet in sheet_names:
            df = pd.read_excel(excel_file, sheet_name=sheet, engine="openpyxl").fillna('')
            if sheet == t_sheet:
                table_sheet = df.where(pd.notnull(df), None).to_dict(orient="records")
            else:
                field_sheets.append(
                    {'sheet_name': sheet, 'data': df.where(pd.notnull(df), None).to_dict(orient="records")})

        # print(field_sheets)

        # sheet table mapping
        sheet_table_map = {}

        # get data and update
        # update table comment
        if table_sheet and len(table_sheet) > 0:
            for table in table_sheet:
                sheet_table_map[table[t_s_col]] = table[t_n_col]
                session.query(CoreTable).filter(
                    and_(CoreTable.ds_id == id, CoreTable.table_name == table[t_n_col])).update(
                    {'custom_comment': table[t_c_col]})

        # update field comment
        if field_sheets and len(field_sheets) > 0:
            for fields in field_sheets:
                if len(fields['data']) > 0:
                    # get table id
                    table_name = sheet_table_map.get(fields['sheet_name'])
                    table = session.query(CoreTable).filter(
                        and_(CoreTable.ds_id == id, CoreTable.table_name == table_name)).first()
                    if table:
                        for field in fields['data']:
                            session.query(CoreField).filter(
                                and_(CoreField.ds_id == id,
                                     CoreField.table_id == table.id,
                                     CoreField.field_name == field[f_n_col])).update(
                                {'custom_comment': field[f_c_col]})
        session.commit()

        return True
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Parse Excel Failed: {str(e)}")