seanchatmangpt

import dsp
import pathlib

import typer
from typetemp.functional import render

import dspy

from utils.create_prompts import create_pydantic_class

seanchatmangpt

import ast
import logging
import inspect

from typing import Type, TypeVar
from dspy import Assert, Module, ChainOfThought, Signature, InputField, OutputField
from pydantic import BaseModel, ValidationError

logger = logging.getLogger(__name__)
logger.setLevel(logging.ERROR)

seanchatmangpt

import ijson
import tiktoken

# Define the path to your large JSON file
json_file_path = "/Users/candacechatman/dev/rdddy/data/conversations.json"


from pydantic import BaseModel, Field, ValidationError
from typing import List, Optional, Any

seanchatmangpt

import ijson
import tiktoken

# Define the path to your large JSON file
json_file_path = "/Users/candacechatman/dev/rdddy/data/conversations.json"


from pydantic import BaseModel, Field, ValidationError
from typing import List, Optional, Any

seanchatmangpt

from rdddy.generators.gen_pydantic_instance import (
    GenPydanticInstance,
)
import pytest
from unittest.mock import patch, MagicMock
from dspy import settings, OpenAI, DSPyAssertionError
from typing import Dict, Any, Optional
from pydantic import BaseModel, Field, ValidationError

seanchatmangpt

import ast
import logging
import inspect

from typing import Type, TypeVar
from dspy import Assert, Module, ChainOfThought, Signature, InputField, OutputField
from pydantic import BaseModel, ValidationError

logger = logging.getLogger(__name__)
logger.setLevel(logging.ERROR)

seanchatmangpt

from pydantic import BaseModel, Field, validator, root_validator, EmailStr, UrlStr
from typing import List, Optional
from datetime import datetime


class VAVAILABILITYModel(BaseModel):
    """A Pydantic model for RFC 5545 compliance."""
    dtstart: datetime = Field(default=None, title="", description="The start date and time of the event.", required)
    dtend: datetime = Field(default=None, title="", description="The end date and time of the event.", required)
    summary: str = Field(default=None, title="", description="A brief summary or title of the event.", max_length=255)

seanchatmangpt

from datetime import datetime

from pydantic import BaseModel, Field, validator, root_validator, EmailStr, UrlStr

class ContactModel(BaseModel):
    """A Pydantic model representing a contact in the friend of a friend ontology."""
    name: str = Field(default=None, title="", description="The name of the contact.", min_length=2, max_length=50)
    email: EmailStr = Field(default=None, title="", description="The email address of the contact.", min_length=5, max_length=50)
    phone_number: str = Field(default=None, title="", description="The phone number of the contact.", min_length=10, max_length=15)
    address: str = Field(default=None, title="", description="The address of the contact.", min_length=10, max_length=100)

seanchatmangpt

import dspy
from dspy import Signature
from dspy.signatures.field import InputField, OutputField

from pydantic import BaseModel, Field

from rdddy.generators.gen_pydantic_instance import GenPydanticInstance


class InputFieldModel(BaseModel):

seanchatmangpt

import ast
import logging
import inspect

from typing import Type, TypeVar
from dspy import Assert, Module, ChainOfThought, Signature, InputField, OutputField
from pydantic import BaseModel, ValidationError

logger = logging.getLogger(__name__)
logger.setLevel(logging.ERROR)