from __future__ import annotations
import datetime, hashlib, logging, os, pytz, redis, secrets

from typing import Dict, List, Optional, Set, Union
from pydantic import BaseModel, EmailStr, Field, Json, PrivateAttr, ValidationError, validator, root_validator

from app.db_sql import redis_lookup_id_random
from app.lib_general import log, logging

from app.models.common_field_schema import base_fields, default_num_bytes


class Event_Person_Tracking_Base(BaseModel):
    log.setLevel(logging.WARNING) # DEBUG, INFO, WARNING, ERROR, EXCEPTION, CRITICAL
    log.debug(locals())

    # --- Standardized Vision IDs (Strings for API, Integers for DB) ---
    id: Optional[Union[int, str]] = Field(**base_fields['event_person_tracking_id_random'])
    event_person_tracking_id: Optional[Union[int, str]] = Field(**base_fields['event_person_tracking_id_random'])
    account_id: Optional[Union[int, str]] = Field(**base_fields['account_id_random'])
    event_id: Optional[Union[int, str]] = Field(**base_fields['event_id_random'])
    event_session_id: Optional[Union[int, str]] = Field(**base_fields['event_session_id_random'])
    event_person_id: Optional[Union[int, str]] = Field(**base_fields['event_person_id_random'])

    # --- Standardized Legacy / Internal IDs (Excluded) ---
    id_random: Optional[str] = Field(None, alias='event_person_tracking_id_random', exclude=True)
    account_id_random: Optional[str] = Field(None, exclude=True)
    event_id_random: Optional[str] = Field(None, exclude=True)
    event_session_id_random: Optional[str] = Field(None, exclude=True)
    event_person_id_random: Optional[str] = Field(None, exclude=True)

    @root_validator(pre=True)
    def map_v3_ids(cls, values):
        """
        Vision Transformer:
        Map DB keys to clean API keys and strip internal integers during READ operations.
        Falls back to Redis/DB lookups if random string IDs are missing from the view.
        """
        from app.db_sql import get_id_random

        # 1. Map Primary Object ID
        rid = values.get('id_random') or values.get('event_person_tracking_id_random')
        if rid and isinstance(rid, str):
            values['id'] = rid
            values['event_person_tracking_id'] = rid
        elif values.get('id') and isinstance(values.get('id'), int):
            # Fallback for primary ID
            resolved_rid = get_id_random(values['id'], 'event_person_tracking')
            if resolved_rid:
                values['id'] = resolved_rid
                values['event_person_tracking_id'] = resolved_rid
                values['id_random'] = resolved_rid

        # 2. Map & Resolve Relational IDs
        id_map = [
            ('account_id', 'account'),
            ('event_id', 'event'),
            ('event_session_id', 'event_session'),
            ('event_person_id', 'event_person'),
        ]

        for field, table in id_map:
            r_val = values.get(f'{field}_random')
            if r_val and isinstance(r_val, str):
                values[field] = r_val
            elif values.get(field) and isinstance(values[field], int):
                # Fallback: Resolve from Redis/DB if missing from view result
                resolved_rid = get_id_random(values[field], table)
                if resolved_rid:
                    values[field] = resolved_rid
                    values[f'{field}_random'] = resolved_rid

        # 3. Final Vision Enforcement: Strip internal integers
        for k in ['id', 'event_person_tracking_id', 'account_id', 'event_id', 'event_session_id', 'event_person_id']:
            val = values.get(k)
            if val is not None and not isinstance(val, str):
                values[k] = None
                
        return values

    check_in_out: Optional[bool]
    break_in_out: Optional[bool]
    other_in_out: Optional[bool]
    other_type: Optional[str] # For unknown client specific tracking (lunch, medical, pause, etc)

    in_datetime: Optional[datetime.datetime] # This should generally default to the created datetime and be overridden as needed
    out_datetime: Optional[datetime.datetime] # This should generally default to the updated datetime and be overridden as needed

    check_in: Optional[bool]
    break_out: Optional[bool]
    break_in: Optional[bool]
    check_out: Optional[bool]
    datetime: Optional[datetime.datetime]

    enable: Optional[bool]

    notes: Optional[str]
    created_on: Optional[datetime.datetime] = None
    updated_on: Optional[datetime.datetime] = None

    # Including convenience data
    event_person_informal_name: Optional[str]
    event_person_given_name: Optional[str]
    event_person_family_name: Optional[str]
    event_person_full_name: Optional[str]
    event_person_full_name_override: Optional[str]
    event_person_affiliations: Optional[str]
    event_person_email: Optional[str]
    event_session_name: Optional[str]

    location_name: Optional[str] = Field(
        alias = 'event_location_name'
    )
    track_name: Optional[str] = Field(
        alias = 'event_track_name'
    )

    _processed_at: datetime.datetime = PrivateAttr(default_factory=datetime.datetime.now)

    class Config:
        underscore_attrs_are_private = True
        allow_population_by_field_name = True
        fields = base_fields