import traceback
import time
import uuid
import logging

from copy import deepcopy

from fwd_api.celery_worker.worker import app
from fwd_api.models import SubscriptionRequest
from fwd_api.exception.exceptions import InvalidException
from fwd_api.models import SubscriptionRequest, SubscriptionRequestFile
from fwd_api.constant.common import ProcessType
from fwd_api.utils.redis import RedisUtils
from fwd_api.utils import process as ProcessUtil

redis_client = RedisUtils()

def aggregate_result(results):
    sorted_results = [None] * len(results)
    doc_types = []
    for index, result in results.items():
        index = int(index)
        doc_type = result.get("metadata", {}).get("doc_type", "all")
        doc_types.append(doc_type)
        sorted_results[index] = ((doc_type, result))

    des_result = deepcopy(list(results.values()))[0]
    des_result.pop("metadata", None)
    des_result["content"]["total_pages"] = 0
    des_result["content"]["ocr_num_pages"] = 0 
    des_result["content"]["document"][0]["end_page"] = 0
    des_result["content"]["document"][0]["content"][3]["value"] = [None for _ in range(doc_types.count("imei"))]
    des_result["content"]["document"][0]["content"][2]["value"] = []

    imei_count = 0
    for doc_type, result in sorted_results:
        des_result["content"]["total_pages"] += 1
        des_result["content"]["ocr_num_pages"] += 1
        des_result["content"]["document"][0]["end_page"] += 1
        if doc_type == "imei":
            des_result["content"]["document"][0]["content"][3]["value"][imei_count] = result["content"]["document"][0]["content"][3]["value"][0]
            imei_count += 1
        elif doc_type == "invoice":
            des_result["content"]["document"][0]["content"][0]["value"] = result["content"]["document"][0]["content"][0]["value"]
            des_result["content"]["document"][0]["content"][1]["value"] = result["content"]["document"][0]["content"][1]["value"]
            des_result["content"]["document"][0]["content"][2]["value"] += result["content"]["document"][0]["content"][2]["value"]
        elif doc_type == "all":
            des_result.update(result)
        else:
            raise InvalidException(f"doc_type: {doc_type}")

    return des_result

def print_id(rq_id):
    print(" [x] Received {rq}".format(rq=rq_id))


def to_status(result):
    print('X')
    if 'status' in result and result['status'] not in [200, 201, 202]:
        return 4
    return 3


def update_user(rq: SubscriptionRequest):
    sub = rq.subscription
    predict_status = rq.status
    if predict_status == 3:
        sub.current_token += ProcessUtil.token_value(int(rq.process_type))
        sub.save()

@app.task(name='process_sap_invoice_result')
def process_invoice_sap_result(rq_id, result):
    try:
        rq: SubscriptionRequest = \
            SubscriptionRequest.objects.filter(request_id=rq_id, process_type=ProcessType.INVOICE.value)[0]
        status = to_status(result)

        rq.predict_result = result
        rq.status = status
        rq.save()

        update_user(rq)
    except IndexError as e:
        print(e)
        print("NotFound request by requestId, %d", rq_id)
    except Exception as e:
        print(e)
        print("Fail Invoice %d", rq_id)
        traceback.print_exc()
        return "FailInvoice"


@app.task(name='process_fi_invoice_result')
def process_invoice_fi_result(rq_id, result):
    try:
        rq: SubscriptionRequest = \
            SubscriptionRequest.objects.filter(request_id=rq_id, process_type=ProcessType.FI_INVOICE.value)[0]
        status = to_status(result)

        rq.predict_result = result
        rq.status = status
        rq.save()

        update_user(rq)
    except IndexError as e:
        print(e)
        print("NotFound request by requestId, %d", rq_id)
    except Exception as e:
        print(e)
        print("Fail Invoice %d", rq_id)
        traceback.print_exc()
        return "FailInvoice"
    
@app.task(name='process_manulife_invoice_result')
def process_invoice_manulife_result(rq_id, result):
    try:
        rq: SubscriptionRequest = \
            SubscriptionRequest.objects.filter(request_id=rq_id, process_type=ProcessType.MANULIFE_INVOICE.value)[0]
        status = to_status(result)

        rq.predict_result = result
        rq.status = status
        rq.save()

        update_user(rq)
    except IndexError as e:
        print(e)
        print("NotFound request by requestId, %d", rq_id)
    except Exception as e:
        print(e)
        print("Fail Invoice %d", rq_id)
        traceback.print_exc()
        return "FailInvoice"
    
random_processor_name = None

@app.task(name='process_sbt_invoice_result')
def process_invoice_sbt_result(rq_id, result, metadata):
    global random_processor_name
    if random_processor_name is None:
        random_processor_name = uuid.uuid4()
    print(rq_id, random_processor_name)
    print_id(f"[DEBUG]: Received SBT request with id {rq_id}")
    try:
        page_index = int(rq_id.split("_sub_")[1])
        rq_id = rq_id.split("_sub_")[0]
        rq: SubscriptionRequest = SubscriptionRequest.objects.filter(request_id=rq_id).first()

        result["metadata"] = metadata
        # status = to_status(result)
        status = result.get("status", 200)
        redis_client.set_cache(rq_id, page_index, result)
        done = rq.pages == redis_client.get_size(rq_id)
        if status == 200:
            if done:
                rq.status = 200 # stop waiting
                results = redis_client.get_all_cache(rq_id)
                rq.predict_result = aggregate_result(results)
                # print(f"[DEBUG]: rq.predict_result: {rq.predict_result}")
                ai_inference_profile = {}
                doc_type_string = ""
                for idx, result in results.items():
                    ai_inference_profile["{doc_type}_{idx}".format(doc_type=result.get("metadata", {}).get("doc_type", "all"), idx=result.get("metadata", {}).get("index_in_request", 0))] = result.get("metadata", {}).get("ai_inference_profile", {})
                    doc_type_string += "{},".format(result.get("metadata", {}).get("doc_type", "all"))
                doc_type_string = doc_type_string[:-1]
                rq.ai_inference_profile = ai_inference_profile
                rq.doc_type = doc_type_string
                rq.ai_inference_start_time = result.get("metadata", {}).get("ai_inference_start_time", -1) # advancing the last result
                rq.preprocessing_time = result.get("metadata", {}).get("preprocessing_time", 0) # advancing the last result
                rq.ai_inference_time = time.time() - rq.ai_inference_start_time
                rq.save()
        else:
            rq.status = 404 # stop waiting
            rq.predict_result = result
            rq.save()
        _update_subscription_rq_file(request_id=rq_id)
        update_user(rq)
    except IndexError as e:
        print(e)
        print("NotFound request by requestId, %d", rq_id)
        rq.ai_inference_time = 0
        rq.save()
        _update_subscription_rq_file(request_id=rq_id)
    except Exception as e:
        print(e)
        print("Fail Invoice %d", rq_id)
        traceback.print_exc()
        rq.ai_inference_time = 0
        rq.save()
        _update_subscription_rq_file(request_id=rq_id)
        return "FailInvoice"
    

def _update_subscription_rq_file(request_id):
    sub_rqs = SubscriptionRequest.objects.filter(request_id=request_id).first()
    result = sub_rqs.predict_result
    if result is None:
        return

    files = SubscriptionRequestFile.objects.filter(request=sub_rqs)
    for image in files:
        retailer_name = None
        sold_to_party = None
        purchase_date = []
        imei_number = []
        predicted_res = __get_actual_predict_result(result=result)
        if len(predicted_res)!=0:
            for elem in predicted_res:
                if elem["label"] == "retailername":
                    retailer_name = elem['value']
                elif elem["label"] == "sold_to_party":
                    sold_to_party = elem['value']
                elif elem["label"] == "purchase_date":
                    purchase_date=elem['value']
                else:
                    imei_number=elem['value']

        _predict_result = {
            "retailername": retailer_name, 
            "sold_to_party": sold_to_party, 
            "purchase_date": purchase_date, 
            "imei_number": imei_number 
            }
        image.predict_result = _predict_result
        image.save()

def __get_actual_predict_result(result: dict):
    predicted_res = result.get('content', {}).get('document', [])
    if len(predicted_res)==0:
        return []
    predicted_res = predicted_res[0].get('content', [])
    return predicted_res