main.py

import asyncio
import base64
import itertools
import json
import os
import shutil
import subprocess
import time

import cv2
import numpy as np
import pandas_datareader as pdr
import pytesseract
import speech_recognition as sr
import uvicorn
from fastapi import FastAPI, File, UploadFile,Depends, WebSocket, WebSocketDisconnect
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from tqdm import tqdm
from transformers import pipeline

from CaesarDetectEntity import CaesarDetectEntity
from CaesarFaceDetection.caesarfd import CaesarFaceDetection
from CaesarHotelBooking.caesarhotelbooking import CaesarHotelBooking
from CaesarObjectDetection.CaesarYolo import CaesarYolo
from CaesarTranslate import CaesarLangTranslate
from CaesarVoice import CaesarVoice
from csv_to_db import ImportCSV
from RequestModels import *
from CaesarFaceRecognition.caesardeepface import CaesarDeepFace
from CaesarAIMusicLoad.caesaraimusicload import CaesarAITelegramBOT
importcsv  = ImportCSV("CaesarAI")
caesaryolo = CaesarYolo()
caesarfacedetectmodel = CaesarFaceDetection()
caesartelgegrambot = CaesarAITelegramBOT()
app = FastAPI()

CURRENT_DIR = os.path.realpath(__file__).replace(f"/main.py","")
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # can alter with time
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)
pytesseract.pytesseract.tesseract_cmd = '/usr/bin/tesseract'
@app.get("/")
def caesaraihome():
    return "Welcome to CaesarAI's API's and CaesarAINL."

@app.websocket("/caesarobjectdetectws")
async def caesarobjectdetectws(websocket: WebSocket):
    # listen for connections
    await websocket.accept()

    try:
        while True:
            contents = await websocket.receive_bytes()
            arr = np.frombuffer(contents, np.uint8) # turns the image byte data into numpy array

            frame = cv2.imdecode(arr, cv2.IMREAD_UNCHANGED) # turns numpy array into the original image shape and state
            
            image,_,_ =  caesaryolo.caesar_object_detect(frame) # Does object detection and returns a numpy array
            ret, buffer = cv2.imencode('.png', image) # turns numpy array into buffer

            await websocket.send_bytes(buffer.tobytes()) # sends the buffer as bytes


    except WebSocketDisconnect:
        print("Client disconnected")

@app.websocket("/caesarfacedetectws")
async def caesarfacedetect(websocket: WebSocket):
    # listen for connections
    await websocket.accept()

    try:
        while True:
            contents = await websocket.receive_bytes()
            arr = np.frombuffer(contents, np.uint8) # turns the image byte data into numpy array

            frame = cv2.imdecode(arr, cv2.IMREAD_UNCHANGED) # turns numpy array into the original image shape and state
            
            image =  caesarfacedetectmodel.detect_face(frame) # Does object detection and returns a numpy array
            ret, buffer = cv2.imencode('.png', image) # turns numpy array into buffer

            await websocket.send_bytes(buffer.tobytes()) # sends the buffer as bytes


    except WebSocketDisconnect:
        print("Client disconnected")
@app.get("/getcaesartelegramchatids")
def getcaesartelegramchatid():
    try:
        chatids = caesartelgegrambot.get_chatids()
        return chatids
    except Exception as ex:
        return {"error":f"{type(ex)},{ex}"}
@app.get("/caesartelegramsendmessage")
def caesartelegramsendmessage(messageinfo: CaesarAITelegramBOT):
    try:
        messageinfo = dict(messageinfo)
        chat_id = messageinfo["chat_id"]
        message = messageinfo["message"]
        chatids = caesartelgegrambot.send_message(chat_id,message)
        return chatids
    except Exception as ex:
        return {"error":f"{type(ex)},{ex}"}

@app.post("/caesarfacesnap")
def caesarfacesnap(frames: CaesarOCRHTTPModel):
    try:
        frames = dict(frames)
        image_arr = np.frombuffer(base64.b64decode(frames["frame"]),dtype="uint8")
        image = cv2.imdecode(image_arr,flags=cv2.IMREAD_COLOR)
        #.reshape(frames["shape"][0],frames["shape"][1],3)
        image = caesarfacedetectmodel.detect_face(image,snapcropface=True)
        if image == [] or image is None:
            return {"frame":"no face was detected."}
        elif image != [] or image is None:
            x=np.ascontiguousarray(image)
            return {'frame': base64.b64encode(x).decode(),"shape":[image.shape[0],image.shape[1]]}
    except Exception as ex:
        return {"error":f"{type(ex)},{ex}"}

@app.post("/faceauthorizeuser")
def faceauthorizeuser(recogperson: CaesarFaceAuth = Depends(),file: UploadFile = File(...)):

    try:
        recogperson = dict(recogperson)
        auth_file = f"{CURRENT_DIR}/CaesarFaceRecognition/authimages/{recogperson['user']}.jpg"
        with open(auth_file, 'wb') as f:
            shutil.copyfileobj(file.file, f)
        return {"message":f"{recogperson['user']} is authorized for face recognition."}
    except Exception as ex:
        return {"message": f"{type(ex)},{ex}"}
    finally:
        file.file.close()
# https://stackoverflow.com/questions/65504438/how-to-add-both-file-and-json-body-in-a-fastapi-post-request
@app.post("/caesarfaceauth")
def caesarfaceauth(recogperson: CaesarFaceAuth = Depends(),file: UploadFile = File(...)):

    try:
        recogperson = dict(recogperson)
        uploaded_file = f"{CURRENT_DIR}/CaesarFaceRecognition/images/temp.jpg"
        auth_file = f"{CURRENT_DIR}/CaesarFaceRecognition/authimages/{recogperson['user']}.jpg"
        with open(uploaded_file, 'wb') as f:
            shutil.copyfileobj(file.file, f)
        caeesardeepface = CaesarDeepFace()
        result = caeesardeepface.face_authentication(filename1=auth_file,filename2=uploaded_file)
        return result
    except Exception as ex:
        return {"message": f"{type(ex)},{ex}"}
    finally:
        file.file.close()

        
   

@app.websocket("/caesarocrextractionws")
async def caesarocrextractionws(websocket: WebSocket):
    # listen for connections
    await websocket.accept()

    try:
        while True:
            contents = await websocket.receive_bytes()
            target_words = await websocket.receive_json()
            
            target_words = dict(target_words)["target_words"]


            arr = np.frombuffer(contents, np.uint8) # turns the image byte data into numpy array

            frame = cv2.imdecode(arr, cv2.IMREAD_UNCHANGED) # turns numpy array into the original image shape and state
            
            data = pytesseract.image_to_data(frame, output_type=pytesseract.Output.DICT)
            image_copy = frame.copy()

            # get all data from the image
            data = pytesseract.image_to_data(frame, output_type=pytesseract.Output.DICT)

            # print the data
            #print(data["text"])

            # get all occurences of the that word
            word_occurences = [ i for i, word in enumerate(data["text"]) for target in target_words if word.lower() == target]

            for occ in word_occurences:
                # extract the width, height, top and left position for that detected word
                w = data["width"][occ]
                h = data["height"][occ]
                l = data["left"][occ]
                t = data["top"][occ]
                # define all the surrounding box points
                p1 = (l, t)
                p2 = (l + w, t)
                p3 = (l + w, t + h)
                p4 = (l, t + h)
                # draw the 4 lines (rectangular)
                image_copy = cv2.line(image_copy, p1, p2, color=(255, 0, 0), thickness=2)
                image_copy = cv2.line(image_copy, p2, p3, color=(255, 0, 0), thickness=2)
                image_copy = cv2.line(image_copy, p3, p4, color=(255, 0, 0), thickness=2)
                image_copy = cv2.line(image_copy, p4, p1, color=(255, 0, 0), thickness=2)

            ret, buffer = cv2.imencode('.png', image_copy) # turns numpy array into buffer

            await websocket.send_bytes(buffer.tobytes()) # sends the buffer as bytes


    except WebSocketDisconnect:
        print("Client disconnected")

@app.websocket("/caesarocrws")
async def caesarocrws(websocket: WebSocket):
    # listen for connections
    await websocket.accept()

    try:
        while True:
            contents = await websocket.receive_bytes()

            arr = np.frombuffer(contents, np.uint8) # turns the image byte data into numpy array

            frame = cv2.imdecode(arr, cv2.IMREAD_UNCHANGED) # turns numpy array into the original image shape and state
            # get the string
            string = pytesseract.image_to_string(frame)
            # print it
            #print(string)

            

            message = json.dumps({"message":string})
            ret, buffer = cv2.imencode('.png', frame) # turns numpy array into buffer

            await websocket.send_json(message) # sends the buffer as bytes
            await websocket.send_bytes(buffer.tobytes()) # sends the buffer as bytes



    except WebSocketDisconnect:
        print("Client disconnected")
@app.post("/caesarocr")
def caesarocr(frames: CaesarOCRHTTPModel):
    # listen for connections
    try:
        frames = dict(frames)
        image_arr = np.frombuffer(base64.b64decode(frames["frame"].replace("data:image/jpeg;base64,","").replace("data:image/png;base64,","")),dtype="uint8")
        image = cv2.imdecode(image_arr,flags=cv2.IMREAD_COLOR)
        # .reshape(frames["shape"][0],frames["shape"][1],3)
        string = pytesseract.image_to_string(image)
        return {'message': string}
    except Exception as ex:
        return {"error":f"{type(ex)},{ex}"}
        
@app.websocket("/sendvideows")
async def sendvideows(websocket: WebSocket):
    # listen for connections
    await websocket.accept()

    try:
        while True:
            contents = await websocket.receive_bytes()
            arr = np.frombuffer(contents, np.uint8)
            #print(arr)
            
            frame = cv2.imdecode(arr, cv2.IMREAD_UNCHANGED)
            #print(frame.shape)
            #image =  caesaryolo.caesar_object_detect(frame)
            ret, buffer = cv2.imencode('.png', frame)
            #print(buffer)
            await websocket.send_bytes(buffer.tobytes())


    except WebSocketDisconnect:
        print("Client disconnected")
# Done
@app.post("/caesarobjectdetect")
def caesarobjectdetect(frames: CaesarObjectDetectModel):
    frames = dict(frames)
    image,_,_ = caesaryolo.caesar_object_detect(np.frombuffer(base64.b64decode(frames["frame"]),dtype="uint8").reshape(frames["shape"][0],frames["shape"][1],3))#base64.b64decode(frames["frame"]))
    return {'frame': base64.b64encode(image).decode(),"shape":[image.shape[0],image.shape[1]]}

@app.websocket("/caesarobjectdetectvideows")
async def caesarobjectdetectvideows(websocket: WebSocket):

    # listen for connections
    await websocket.accept()

    try:
        while True:
            video_frames = await websocket.receive_json()
            with open(f'{CURRENT_DIR}/CaesarObjectDetection/content.mp4', 'wb') as f:
                f.write(base64.b64decode(video_frames["frame"].replace("data:video/mp4;base64,","")))
            duration = 20 # seconds
            best_min_size = (32000 + 100000) * (1.073741824 * duration) / (8 * 1024)
            CaesarYolo.compress_video(f"{CURRENT_DIR}/CaesarObjectDetection/content.mp4", f'{CURRENT_DIR}/CaesarObjectDetection/content_compressed.mp4', best_min_size)
            if "content.mp4" in os.listdir(f"{CURRENT_DIR}/CaesarObjectDetection"):
                os.remove(f"{CURRENT_DIR}/CaesarObjectDetection/content.mp4")
            caesaryolo.video_load('content.mp4')
            while True:
                image,time_elapsed,end_time = caesaryolo.caesar_object_detect("video")
                if image is not None:
                    #print(image)
                    ret, buffer = cv2.imencode('.png', image) # turns numpy array into buffer

                    #png_as_text = base64.b64encode(buffer)

                    #await websocket.send_bytes(base64.b64encode(buffer).decode("utf-8"))
                    await websocket.send_json({"time_elapsed":time_elapsed,"end_time":end_time})
                    #cv2.imshow("image", image)
                
                else:
                    break
            


            caesaryolo.cap.release()
            ffmpeg_command = ["ffmpeg","-y","-i",f"{CURRENT_DIR}/CaesarObjectDetection/output.avi",f"{CURRENT_DIR}/CaesarObjectDetection/output.mp4"]
            subprocess.call(ffmpeg_command)
            await websocket.send_json({"result":"finished"})


    except WebSocketDisconnect:
        print("Client disconnected")

# Done
@app.get("/caesarobjectdetectvideoget")
def caesarobjectdetectvideoget():
    return FileResponse(f"{CURRENT_DIR}/CaesarObjectDetection/output.mp4")

@app.post("/createcaesaraipi")
def createcaesaraipi(caesar_api_post : CaesarCreateAPIModel):
    caesar_api_post = dict(caesar_api_post)
    caesarapi_db_exists = list(importcsv.db.caesarapis.find( { "caesarapis" : { "$exists" : "true" } } ))
    #print(caesarapi_db)
    if len(caesarapi_db_exists) == 0:
        importcsv.db.caesarapis.insert_one(caesar_api_post)
        return {"message":"caesarapi created."}
    elif len(caesarapi_db_exists) > 0:
        caesarapi_db = caesarapi_db_exists[0]
        #print(caesarapi_db)
        for apis in caesar_api_post["caesarapis"]:
            if apis not in caesarapi_db["caesarapis"]:
                caesarapi_db["caesarapis"].append(apis)
            elif apis in caesarapi_db["caesarapis"]:
                continue
        importcsv.db.caesarapis.replace_one({ "caesarapis" : { "$exists" : "true" } },caesarapi_db)
        return {"message":"caesarapi stored."}
# Done
@app.get("/getcaesaraipi")
def getcaesaraipi():
    try:
        caesarapi_db_exists = list(importcsv.db.caesarapis.find( { "caesarapis" : { "$exists" : "true" } } ))[0]
        del caesarapi_db_exists["_id"]
        return caesarapi_db_exists
    except KeyError as kex:
        return {"error":f"Api doesn't exist"}
# Done
@app.post("/triggerapi")
def triggerapi(user_trigger : TriggerAPIModel):
    user_trigger = dict(user_trigger)["user_trigger"]
    try:
        caesarapi_db_exists = list(importcsv.db.caesarapis.find( { "caesarapis" : { "$exists" : "true" } } ))[0]
    except KeyError as kex:
        return {"error":"Api doesn't exist"}
    try:
        triggered_apis = [i for i in caesarapi_db_exists["caesarapis"] if i["triggerwords"] in user_trigger]
        triggered_api = triggered_apis[0]
        return triggered_api
    except (IndexError,KeyError) as kex:
        return {"message":"sorry couldn't understand what api you want."}
# Done
@app.post("/caesaraihotelbookings")
def caesaraihotelbookings(hotelbookings_json: CaesarHotelBookingsModel):
    """
    params = {
    "city":city,
    "checkin_date":"2023-8-01",
    "checkout_date":"2023-8-08",
    "purpose":"work",
    "num_of_adults":10,
    "num_of_rooms":5,
    "num_of_children":0,
    "page_num":i
    }
    """
    def get_price_range(bookings_json,city,range,):
        def condition(dic):
            ''' Define your own condition here'''
            try:
                price = dic['assumed_final_price']
                return price <= range
            except KeyError as kex:
                return False
        #print(bookings_json)
        bookings = bookings_json[f"{city.lower()}_bookings"]
        filtered = [d for d in bookings if condition(d)]
        return filtered
        
    
    try:
        overall_booking_info = []
        hotelbookings_json = dict(hotelbookings_json)
        try:
            exclude_whole = hotelbookings_json["exclude_whole"]
        except KeyError as kex:
            exclude_whole = None
        city = hotelbookings_json["city"]
        price_range = hotelbookings_json["price_range"]
        print(f"Extracting flight data for {city}...")
        for i in tqdm(range(1,hotelbookings_json["num_of_pages"]+1)):
            params = {
            "city":city,
            "checkin_date":hotelbookings_json["checkin_date"],
            "checkout_date":hotelbookings_json["checkout_date"],
            "purpose":hotelbookings_json["purpose"],
            "num_of_adults":hotelbookings_json["num_of_adults"],
            "num_of_rooms":hotelbookings_json["num_of_rooms"],
            "num_of_children":hotelbookings_json["num_of_children"],
            "page_num":i
            }
            url = CaesarHotelBooking.create_url(**params)
            bookinginfo = CaesarHotelBooking.caesar_get_hotel_info(url)
            overall_booking_info.append(bookinginfo)
        full_bookings = list(itertools.chain(*overall_booking_info))
        price_range_bookings = get_price_range({f"{city.lower()}_bookings":full_bookings},city,price_range)
        if exclude_whole == "true":
            return {"caesaroutput":{"caesarbookings":price_range_bookings}}
            #return {f"{city.lower()}_bookings_lower_than_{price_range}":price_range_bookings}
        return {"caesaroutput":{"caesarbookings":full_bookings}}
        #return {"caesaroutput":full_bookings}
        #return {f"{city.lower()}_bookings":full_bookings,f"{city.lower()}_bookings_lower_than_{price_range}":price_range_bookings}
    except Exception as ex:
        return {"error":f"{type(ex)}{ex}"}

@app.post("/caesarlangtranslate")
def caesarlangtranslate(translate_json: CaesarLangTranslateModel):
    try:# hello
        translate_json = dict(translate_json)
        text = translate_json["caesartranslate"]

        language = "en"
        try:
            responsejson = translate_json["response"]
            language =  translate_json["language"]
            try:
                triggerword  = translate_json["triggerword"]
                caesarlang = CaesarDetectEntity()
                text,language = caesarlang.run(triggerword,text,caesarlang.main_entities[triggerword])
            except KeyError as kex:
                pass
            if responsejson == "true":
                response = True
            elif responsejson == "false":
                response = False
            else:
                response = False
        except KeyError as kex:
            response = False
        caesarlangtranslate = CaesarLangTranslate()
        original,translation,original_language,destination_language = caesarlangtranslate.translate(text,lang=language,response=response)


        return {"caesaroutput":translation,"caesartranslation":{"original":original,"translation":translation,"original_language":original_language,"destination_language":destination_language}}

    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}




@app.get("/caesarlangtranslate")
def caesarlangtranslateget(text:str,triggerword:str,responsejson:str):
    try:# hello 
        caesarlang = CaesarDetectEntity()
        try:
            text,language = caesarlang.run(triggerword,text,caesarlang.main_entities[triggerword])
            if responsejson == "true":
                response = True
            elif responsejson == "false":
                response = False
            else:
                response = False
        except KeyError as kex:
            response = False
        caesarlangtranslate = CaesarLangTranslate()
        original,translation,original_language,destination_language = caesarlangtranslate.translate(text,lang=language,response=response)


        return {"caesaroutput":translation,"caesartranslation":{"original":original,"translation":translation,"original_language":original_language,"destination_language":destination_language}}

    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}


@app.post("/caesarsr")
def caesarsr(audio_data: CaesarSRModel):

    transcript = ""
    try:
        #print("FORM DATA RECEIVED")
        
        # TODO Make it show that the .3pg extension is adaptable
        audiobase64json = dict(audio_data)
        decode_bytes = base64.b64decode(audiobase64json["audio_data"].replace("data:video/3gpp;base64,",""))
        with open("temp.3pg", "wb") as wav_file:
            wav_file.write(decode_bytes)
        
        os.system('ffmpeg -y -i temp.3pg understand.wav')
        recognizer = sr.Recognizer()
        audioFile = sr.AudioFile("understand.wav")
        with audioFile as source:
            data = recognizer.record(source)
        transcript = recognizer.recognize_google(data, key=None)
        return {"message":transcript}

    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}


@app.post("/caesarvoice")
def caesarvoice(voice_input : CaesarVoiceModel):
    try:
        voice_input = dict(voice_input)
        #try:
        filename = voice_input["filename"]
        lang = voice_input["language"]
        if filename == None:
            filename = "temp.wav"
        if lang == None:
            lang = "en"
        CaesarVoice.synthesise(voice_input["text"],filename,lang=lang)
        return {"message":"voice syntheized"}# send_file(filename,"audio/x-wav")
    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}

@app.post("/caesarsummarize")
def caesarsummarize(json_input : CaesarSummarizeModel):
    try:
        json_input = dict(json_input)
        original_text = json_input["text"]
        summarization = pipeline("summarization")
        summary_text = summarization(original_text)[0]['summary_text']
        return {"caesaroutput":summary_text}# send_file(filename,"audio/x-wav")
    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}

@app.post("/caesarstockinfo")
def caesarstockinfo(json_input: CaesarStockInfoModel):
    try:
        json_input = dict(json_input)
        # import AAPL stock price
        stock_tick = json_input["stock"]
        start_date = json_input["start_date"]
        end_date =  json_input["end_date"]
        df = pdr.get_data_yahoo(stock_tick, start=start_date,end=end_date)
        print(df)
        return {"caesaroutput":str(df.to_csv(index=False))}# send_file(filename,"audio/x-wav")
    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}




@app.get("/caesarvoiceget")
def caesarvoiceget():
    try:
        filename = "temp.wav"
        return FileResponse(filename,media_type="audio/x-wav")
    except Exception as ex:
        return {"error":f"{type(ex)}-{ex}"}
async def main():
    config = uvicorn.Config("main:app", port=7860, log_level="info",host="0.0.0.0",reload=True)
    server = uvicorn.Server(config)
    await server.serve()

if __name__ == "__main__":
    asyncio.run(main())