# from typing import Optional # from fastapi import FastAPI, APIRouter, Query # from testpkg.finit import api_router, app # from testpkg.schemas import MyDataModel, MyDataSearchResults, CreateMyDataModelEntity # from testpkg.MyDataList import myDataList # @api_router.get("/datas/getall", status_code=200) # def get_all() -> dict: # return {"data": myDataList} # # @api_router.get("/add_rows", status_code=200) # # def add_rows(rowstr:str) -> dict: # # return {"data": arr} # # Updated using to use a response_model # # https://fastapi.tiangolo.com/tutorial/response-model/ # @api_router.get("/datas/get/{data_id}", status_code=200) # def get_data(*, data_id: int) -> dict: # """ # Fetch a single data by ID # """ # result = [x for x in myDataList if x["id"] == data_id] # if result: # return result[0] # # Updated using the FastAPI parameter validation `Query` class # # # https://fastapi.tiangolo.com/tutorial/query-params-str-validations/ # @api_router.get("/datas/search", status_code=200) # def search_data(*, keyword: Optional[str] = Query(None,min_length=3), max_results: Optional[int] = 3) -> dict: # """ # Search for datas based on text keyword # """ # if not keyword: # # we use Python list slicing to limit results # # based on the max_results query parameter # return {"results": myDataList[:max_results]} # results = filter(lambda x: keyword.lower() in x["text"].lower(), myDataList) # return {"results": list(results)[:max_results]} # # New addition, using Pydantic model `RecipeCreate` to define # # the POST request body # @api_router.post("/datas/create", status_code=201, response_model=MyDataModel) # def create_data(*, my_data: CreateMyDataModelEntity) -> MyDataModel: # """ # Create a new data (in memory only) # """ # new_entry_id = len(myDataList) + 1 # entry = MyDataModel( # id=new_entry_id, # text=my_data.text, # description=my_data.description # ) # myDataList.append(entry.model_dump()) # return entry # # Updated using to use a response_model # # https://fastapi.tiangolo.com/tutorial/response-model/ # @api_router.get("/datas/delete/{data_id}", status_code=200) # def delete_data(*, data_id: int) -> dict: # """ # Fetch a single data by ID # """ # result = [x for x in myDataList if x["id"] == data_id] # if result: # myDataList.remove(result[0]) # return {"datas":myDataList} # if __name__ == "__main__": # # Use this for debugging purposes only # import uvicorn # app.include_router(api_router) # uvicorn.run(app, host="0.0.0.0", port=7860, log_level="debug")