from collections import defaultdict

from rest_framework import serializers, status

from api.models import TtUsagePreference, TtMaximumHour, TtSetting, TtTimeBlock
from api.models.audit_trail import AuditTrail
from api.models.audit_trail_details import AuditTrailDetails
from api.models.tt_constraint_profile import TtConstraintProfile
from api.models.tt_location import TtLocation
from api.views.admin.base import AdminApiBase
from api.validator import BaseValidator
from api.utils import decrypt_aes_128_cbc, encrypt_aes_128_cbc, generate_kafka_data_update, log_critical_error, \
    get_exception_detail, \
    get_add_new_data, get_ip, get_old_new_data, bulk_sync_to_redis, get_multiple_old_new_data, search_old_new_data, \
    get_start_and_end_slot
from rest_framework.exceptions import ValidationError
from api.translation import __
from backend.kafka import send_request
from backend.redis_client import redis_client
from django.db.models import Prefetch

class MaximumHourUpdate(AdminApiBase):
    def validate_request(self,request):
        rules = {
            "id": "required|array|exists:api.TtMaximumHour,id",
        }
        # if need rename field, can put here
        attribute = {
            # "email": __("attr.email"),
        }
        # validate id first, cause need get maximum_hour by id, if wrong id direct return error
        validator = BaseValidator(request.data,rules,attribute)
        error = validator.validate()
        if error:
            raise ValidationError(error)

        edit_maximum_hour = (
            TtMaximumHour.objects
            .select_related("department")
            .prefetch_related(
                "time_block",
                "tag__tag" # tags means the relation add in models, __tag means the relation table tag_id get the tag object #2
            )
            .filter(id__in=request.data.get("id"))
        )
        status_code_string = ",".join(str(v) for v in TtTimeBlock.STATUS_TO_CODE.values())
        # FE will request by pattern, so can reduce the changes from FE, and BE will convert this pattern become start_slot and end_slot
        rules = {
            "name": "nullable",
            "desc": "nullable",
            "department_id": "nullable|exists:api.TtDepartment,id",
            "maximum_period": "nullable|integer",
            "time_block": "nullable|array|exists:api.TtTimeBlock,id",
            "status": "nullable|in:" + status_code_string + "?maximum_hour_status",
            "tag": "nullable|array|exists:api.TtTag,id",
        }

        if request.data.get("code") and edit_maximum_hour.count() == 1:
            maximum_hour = edit_maximum_hour.first()
            if request.data.get("code") != maximum_hour.code:
                rules['code'] = "nullable|not_exists:api.TtMaximumHour,code"

        # if need rename field, can put here
        attribute = {
            # "email": __("attr.email"),
        }

        validator = BaseValidator(request.data,rules,attribute)
        error = validator.validate()

        # custom error after basic validation

        if error:
            raise ValidationError(error)

        return edit_maximum_hour


    def post(self, request):
        # Validate input
        try:
            edit_maximum_hour = self.validate_request(request)

            action="maximum_hour_update" # this is for audit log only

            updated = False
            update_fields = {}
            ignore_fields = ['id','time_block','tag','timestamp','signature']
            # if more than 1 maximum_hour edit, ignore code
            if edit_maximum_hour.count() > 1 or not request.data.get("code"):
                ignore_fields.append('code')
            valid_fields = {f.column for f in TtMaximumHour._meta.fields}
            for key, val in request.data.items():
                if key not in ignore_fields and key in valid_fields:
                    updated = True
                    match key:
                        case _:
                            # default the key will same as db column name
                            update_fields[key] = val

            # be4 save need get the old new data already, because bulk update is no matter got change or no changes also will update
            old_new_data = get_multiple_old_new_data(edit_maximum_hour,update_fields.items(),ignore_fields,valid_fields)
            if update_fields: # 2026-04-27, ignore updated param, it is useless, this code is replace by "replace in file", so didnt remove param updated
                update_fields['updated_by'] = request.user.id
                edit_maximum_hour.update(**update_fields)

            if "time_block" in request.data:
                new_ids = request.data.get("time_block", [])
                old_new_data = self.update_m2m_field_bulk(edit_maximum_hour,'time_block',new_ids,old_new_data)
            if "tag" in request.data:
                new_ids = request.data.get("tag", [])
                old_new_data = self.update_m2m_field_bulk(edit_maximum_hour,'tag',new_ids,old_new_data,False,True)

            redis_data = {
                "update": {}
            }

            redis_maximum_hour_table = "maximum_hour"
            redis_constraint_profile_table = "constraint_profile"
            redis_maximum_hour_data = {}
            redis_maximum_hour_column = [
                "name", "department_id", "maximum_period", "time_block_ids", "enabled"
            ]

            # if only 1 maximum_hour, can edit code
            if edit_maximum_hour.count() == 1:
                redis_maximum_hour_column.append('code')

            # got new data only means got update, then will for loop request.data, cause the old_new_data['new_data'] for foreign key name, like maximum_hour_id, will return in maximum_hour, so cant use it
            if old_new_data['new_data']:
                for edit_id in request.data.get("id"):
                    # every new maximum_hour reset the redis_maximum_hour_data and append to redis_data['update']
                    redis_maximum_hour_data = {"id": edit_id}
                    for key, val in request.data.items():
                        if key == "status":
                            is_enabled = (val == TtMaximumHour.STATUS_TO_CODE['active'])
                            redis_maximum_hour_data["enabled"] = is_enabled
                        elif key == "time_block":
                            redis_maximum_hour_data["time_block_ids"] = val or []
                        elif key in redis_maximum_hour_column:
                            redis_maximum_hour_data[key] = val

                    if len(redis_maximum_hour_data)>1:# > 1 means not only id
                        redis_data["update"].setdefault(redis_maximum_hour_table, []).append(redis_maximum_hour_data)

                if request.data.get("status"):
                    related_constraint_profiles = (
                        TtConstraintProfile.objects
                        .filter(maximum_hour__id__in=request.data.get("id"))
                        .distinct()
                        .prefetch_related(
                            Prefetch(
                                "maximum_hour",
                                queryset=TtMaximumHour.objects.filter(status=TtMaximumHour.STATUS_TO_CODE["active"]),
                            )
                        )
                    )

                    redis_constraint_profile_data = []

                    for profile in related_constraint_profiles:
                        redis_constraint_profile_data.append({
                            "id": profile.id,
                            "maximum_hour_ids": sorted([fb.id for fb in profile.maximum_hour.all()])
                        })
                        redis_data["update"].setdefault(redis_constraint_profile_table, redis_constraint_profile_data)

            bulk_sync_to_redis(redis_client,redis_data)

            if old_new_data['old_data'] or old_new_data['new_data']:
                #kafka update/ split by id
                # kafka_maximum_hour = []
                # method = "maximum_hour_update"
                # kafka_topic = self.kafka_config['MICROSERVICES_TT_TOPIC']
                # if kafka_topic:
                #     new_data = old_new_data.get("new_data")
                #     relation_fields = ["tag"]
                #     relation_data = generate_kafka_data_update(new_data, relation_fields)
                #     update_fields.pop("updated_by", None)
                #
                #     for start_pref in edit_maximum_hour:
                #         data = {"id": start_pref.id, **update_fields, **relation_data}
                #         kafka_maximum_hour.append(data)
                #     kafka_request_data = {
                #         "session_id": request.user.name,
                #         "maximum_hour": kafka_maximum_hour,
                #     }
                #     send_request(kafka_topic, kafka_request_data, None, method)

                # insert audit trail and details
                # can insert the parent first, then only insert details
                audit_trail = AuditTrail.objects.create(
                    user_id=request.user.id,
                    type=self.audit_type,
                    ip_address=get_ip(request)
                )

                name = ",".join(edit_maximum_hour.values_list("name", flat=True))
                remark_param = {
                    "name":name
                }

                # call to a function for insert details, so in future if want change to used worker, can modify in function only
                AuditTrailDetails.custom_insert(
                    audit_trail=audit_trail,
                    action=action,
                    remark_param=remark_param,
                    new_data=old_new_data['new_data'],
                    old_data=old_new_data['old_data'],
                )

            response = {

            }

            return self.api_response(data=response)
        except ValidationError as e:
            first_message = e.detail['error']
            errors = e.detail['errors']
            return self.api_response(error=first_message,errors=errors,code=status.HTTP_400_BAD_REQUEST)
        except Exception as e:
            e_details = get_exception_detail(e)
            log_critical_error(user_id=None,descr=e_details['descr'],url=e_details['url'],trace=e_details['trace'])
            return self.api_response(error=__("message.internal_server_error"),code=status.HTTP_500_INTERNAL_SERVER_ERROR)