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 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']) # Internal Integer IDs (Excluded from API) # We use Optional[Union[int, str]] here to prevent validation crashes # if the DB returns stringified integers or "NULL" strings. id_int: Optional[Union[int, str]] = Field(None, alias='id', exclude=True) account_id_int: Optional[Union[int, str]] = Field(None, alias='account_id', exclude=True) person_id_int: Optional[Union[int, str]] = Field(None, alias='person_id', exclude=True) user_id_int: Optional[Union[int, str]] = Field(None, alias='user_id', exclude=True) for_type: Optional[str] for_id: Optional[str] # Random ID string for_id_random: Optional[str] # Svelte often uses this name for_id_int: Optional[Union[int, str]] = Field(None, alias='for_id', 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 Random Strings to Clean Names if rid := values.get('id_random') or values.get('data_store_id_random'): values['id'] = rid values['data_store_id'] = rid if a_rid := values.get('account_id_random'): values['account_id'] = a_rid if p_rid := values.get('person_id_random'): values['person_id'] = p_rid if u_rid := values.get('user_id_random'): values['user_id'] = u_rid if f_rid := values.get('for_id_random'): values['for_id'] = f_rid values['for_id_random'] = f_rid # 2. Prevent "Collision Population" # We only want strings in our primary ID fields. # If the key exists and isn't a string, it's a DB integer; remove it # so it doesn't fail length validation on the string fields. for k in ['id', 'data_store_id', 'account_id', 'person_id', 'user_id', 'for_id']: if k in values and not isinstance(values[k], str): del values[k] 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() ###