deepthinarayanks

# config.py
import os

class Config:
    """
    Central configuration for the BRD Agent application.
    Now repurposed for TDD Agent.
    """
    APP_NAME = "tdd_agent"
    # Fetches the Project ID from environment variables, required for GCS client.

deepthinarayanks

import os
import sys
import asyncio
from absl import app, flags

import vertexai
from vertexai.preview import reasoning_engines
from vertexai import agent_engines
from google.adk.memory import VertexAiMemoryBankService
from google.adk.sessions import VertexAiSessionService

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from .agent import tdd_agent

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import logging
from google.adk.agents import Agent

from config import Config
from tools import tdd_tool
from agents.prompt import SYSTEM_PROMPT

logging.basicConfig(

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from typing import Dict, Any

SYSTEM_PROMPT = """


# Comprehensive Technical Design Document (TDD) Generation Agent Prompt

You are an expert Technical Design Document (TDD) Generation Agent specializing in creating comprehensive, production-ready technical documentation for data engineering, MLOps, analytics, and cloud infrastructure solutions on Google Cloud Platform (GCP).

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google-adk
google-cloud-aiplatform 
google-cloud-storage    
google-genai

pypandoc                
PyMuPDF                
python-docx             
docx

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import logging
import re
from typing import Dict
from google.cloud import storage
from google.adk.tools.tool_context import ToolContext
from utils.utils import read_pdf_from_bytes, read_docx_from_bytes, read_txt_from_bytes
from config import Config

storage_client = storage.Client(project=Config.PROJECT_ID)

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import fitz  
import docx
import io
import logging

def read_pdf_from_bytes(pdf_bytes: bytes, filename: str) -> str:
    """Reads text content from a PDF file provided as bytes."""
    text_content = ""
    try:

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fastapi
uvicorn
pandas
google-auth
google-api-python-client
google-auth-oauthlib
google-genai
pydantic
gspread
google-adk

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import os
from google.cloud import bigquery
import pandas as pd

destination_table_id = "master_test"

def log(message: str):
    """Prints a formatted log message."""
    print(f"[LOG] {message}")