import datetime, pytz

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

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

from app.models.common_field_schema import base_fields


# ### BEGIN ### API Data Store Models ### Data_Store_Base() ###
class Data_Store_Base(BaseModel):
    log.setLevel(logging.INFO) # DEBUG, INFO, WARNING, ERROR, EXCEPTION, CRITICAL
    log.debug(locals())

    # --- Standardized Vision IDs (Strings) ---
    id: Optional[str] = Field(None, **base_fields['data_store_id_random'])
    data_store_id: Optional[str] = Field(None, **base_fields['data_store_id_random'])
    
    account_id: Optional[str] = Field(None, **base_fields['account_id_random'])
    person_id: Optional[str] = Field(None, **base_fields['person_id_random'])
    user_id: Optional[str] = Field(None, **base_fields['user_id_random'])

    # Standardized Polymorphic Target
    for_type: Optional[str]
    for_id: Optional[str] = Field(**base_fields['obj_id_random'])

    # --- Standardized Legacy / Internal IDs (Excluded) ---
    id_random: Optional[str] = Field(None, alias='data_store_id_random', exclude=True)
    account_id_random: Optional[str] = Field(None, exclude=True)
    person_id_random: Optional[str] = Field(None, exclude=True)
    user_id_random: Optional[str] = Field(None, exclude=True)
    for_id_random: Optional[str] = Field(None, exclude=True)

    code: Optional[str]
    name: Optional[str]
    description: Optional[str]

    type: Optional[str] # html, json, md, text

    # The JSON fields are case sensitive
    json_str: Optional[Union[Json, None]] = Field(
        alias = 'json',
    )

    # The text fields are case insensitive
    text: Optional[str]

    meta_json: Optional[str]
    meta_text: Optional[str]

    access: Optional[str]
    access_read: Optional[str]
    access_write: Optional[str]
    access_delete: Optional[str]

    enable: Optional[bool]

    hide: Optional[bool]
    priority: Optional[bool]
    sort: Optional[int]
    group: Optional[str]

    notes: Optional[str]

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

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

    @root_validator(pre=True)
    def map_v3_ids(cls, values):
        """
        Vision Transformer:
        Map DB keys to clean API keys and strip internal integers.
        """
        # 0. Scrub stringified NULLs from database
        for k, v in list(values.items()):
            if isinstance(v, str) and v.upper() == 'NULL':
                values[k] = None

        # 1. Map Primary Object ID
        if rid := values.get('id_random') or values.get('data_store_id_random'):
            values['id'] = rid
            values['data_store_id'] = rid
            
        # 2. Map & Resolve Relational IDs
        id_map = [
            ('account_id', 'account'),
            ('person_id', 'person'),
            ('user_id', 'user'),
        ]

        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, str)):
                # If it's a string but doesn't look like a random ID (e.g. integer string), resolve it
                is_random = isinstance(values[field], str) and len(values[field]) >= 11
                if not is_random:
                    resolved_rid = get_id_random(values[field], table)
                    if resolved_rid:
                        values[field] = resolved_rid
                        values[f'{field}_random'] = resolved_rid

        # 3. Handle Polymorphic for_id
        if f_rid := values.get('for_id_random'):
            values['for_id'] = f_rid
        elif values.get('for_id') and values.get('for_type'):
            # Resolve based on the for_type
            is_random = isinstance(values['for_id'], str) and len(values['for_id']) >= 11
            if not is_random:
                resolved_for_rid = get_id_random(values['for_id'], values['for_type'])
                if resolved_for_rid:
                    values['for_id'] = resolved_for_rid
                    values['for_id_random'] = resolved_for_rid

        # 4. Final Vision Enforcement: Strip internal integers from public fields
        for k in ['id', 'data_store_id', 'account_id', 'person_id', 'user_id', 'for_id']:
            val = values.get(k)
            # If value is present but not a valid random string ID
            if val is not None:
                if not isinstance(val, str) or len(val) < 11:
                    values[k] = None
                
        return values

    class Config:
        underscore_attrs_are_private = True
        allow_population_by_field_name = False
        fields = base_fields
# ### END ### API Data Store Models ### Data_Store_Base() ###