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Pull Request Description

What does this PR do?
Provide a clear and concise description of what this pull request accomplishes.

Related Issue(s)

  • Fixes #[issue number]
  • Related to #[issue number]
    This pull request introduces a new project, the "Gemini Blog Agent," which is a self-optimizing blog generation service using AI and SEO optimization. It includes the foundational setup for the project, such as environment configuration, dependencies, Docker integration, and documentation. Below is a summary of the most important changes:

Project Setup and Configuration

  • Environment Variables: Added a new .env.example file in agent_system with variables for API keys, model configuration, and operational parameters. Removed outdated variables from the root .env.example. [1] [2]
  • Dependencies: Added a requirements.txt file listing all project dependencies and a pyproject.toml file for project metadata and build configuration. [1] [2]
  • Pre-commit Hooks: Configured pre-commit hooks for code quality checks, including formatting (Black), linting (Ruff), and type checking (Mypy).

Codebase and Application Structure

  • Project Structure: Established the directory structure for the application, including modules for API, agents, tools, schemas, memory, and utilities. Added placeholder __init__.py files with docstrings. [1] [2]
  • Development Runner: Added a run.py script to launch the development server with configurable settings, using uvicorn and uvloop for performance.

Docker and Deployment

  • Dockerfile: Created a multi-stage Dockerfile for building and running the application, optimized for Python 3.12.
  • Docker Compose: Added a docker-compose.yml file for running the application and optional Redis service with health checks and environment variable support.

Documentation

  • README: Added a comprehensive README.md file describing the project features, architecture, tech stack, setup instructions, usage, testing, and deployment guidelines.

Git and Ignored Files

  • Gitignore: Added a .gitignore file tailored for Python projects, ignoring common files and directories like virtual environments, build artifacts, and IDE settings.
  • Closes #[issue number]

Type of Change

Please mark the relevant option(s):

  • 🐛 Bug fix (non-breaking change which fixes an issue)
  • ✨ New feature (non-breaking change which adds functionality)
  • 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • 📚 Documentation update
  • 🎨 Code style/formatting changes
  • ♻️ Code refactoring (no functional changes)
  • ⚡ Performance improvements
  • 🧪 Tests (adding or updating tests)
  • 🔧 Configuration changes
  • 🚀 CI/CD changes

Changes Made

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Testing

How has this been tested?
Describe the tests you ran and provide instructions to reproduce:

  • Unit tests pass
  • Integration tests pass
  • Manual testing performed
  • Test coverage maintained/improved

Test Environment:

  • OS: [e.g. Ubuntu 20.04]
  • Python Version: [e.g. 3.10.5]
  • LLM Provider tested: [e.g. Groq, Gemini]

Code Quality

  • My code follows the project's style guidelines
  • I have performed a self-review of my code
  • I have commented my code, particularly hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes

Security Considerations

  • This change doesn't introduce security vulnerabilities
  • API keys and sensitive data are properly handled
  • Input validation is implemented where needed
  • No sensitive information is logged or exposed

Performance Impact

  • No performance impact
  • Minor performance impact (acceptable)
  • Significant performance impact (justified in description)

Performance Details:
If there's a performance impact, describe:

  • What operations are affected
  • Measurement data (before/after)
  • Why the impact is acceptable

Documentation

  • Updated README.md if needed
  • Updated API documentation if needed
  • Updated code comments
  • Added/updated docstrings

Deployment Considerations

  • No deployment changes needed
  • Environment variables added/changed
  • Database migrations required
  • Configuration changes required
  • Dependencies added/updated

Screenshots (if applicable)

Add screenshots to help explain your changes, especially for UI modifications.

Additional Notes

Any additional information, concerns, or questions for reviewers:

Checklist

  • I have read and followed the contribution guidelines
  • I have tested my changes thoroughly
  • I have updated documentation as needed
  • I have considered the impact on existing users
  • I have verified that my changes work with both Groq and Gemini LLM providers (if applicable)

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@4darsh-Dev 4darsh-Dev requested a review from Copilot July 20, 2025 06:17
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Pull Request Overview

This PR introduces a complete "Gemini Blog Agent" implementation that replaces the existing simple web scraper with a sophisticated AI-powered blog generation service. The system uses FastAPI, LangGraph workflow orchestration, and Google Gemini for creating SEO-optimized blog content through an iterative improvement process.

Key changes include:

  • Complete replacement of the basic scraper with a multi-agent AI system
  • Implementation of FastAPI backend with async processing capabilities
  • Integration of LangGraph for workflow orchestration and state management
  • Addition of comprehensive testing, documentation, and deployment configurations

Reviewed Changes

Copilot reviewed 50 out of 58 changed files in this pull request and generated 7 comments.

File Description
src/main.py Removed original simple scraper implementation
docs/gemini_implementation/ Added comprehensive technical documentation and API specs
agent_system/ New complete project structure with FastAPI backend, LangGraph agents, and supporting infrastructure
Comments suppressed due to low confidence (1)

agent_system/src/agents/nodes/evaluate_seo.py:1

  • Large commented-out code blocks (lines 1-322) should be removed from production code. If this is legacy code that needs to be preserved, move it to a separate file or version control history.
# """SEO evaluation node implementation."""

Comment on lines +36 to +39
def add_timestamp(logger: Any, method_name: str, event_dict: Dict[str, Any]) -> Dict[str, Any]:
"""Add timestamp to log events."""
# Fix: Use timezone-aware datetime instead of deprecated utcnow()
event_dict["timestamp"] = datetime.now(timezone.utc).isoformat()
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Consider using a consistent timestamp format across the application. The current implementation uses ISO format, but other parts of the codebase use hardcoded timestamps like '2025-07-19T20:32:49Z'. Standardize on either dynamic timestamps or use a consistent format function.

Suggested change
def add_timestamp(logger: Any, method_name: str, event_dict: Dict[str, Any]) -> Dict[str, Any]:
"""Add timestamp to log events."""
# Fix: Use timezone-aware datetime instead of deprecated utcnow()
event_dict["timestamp"] = datetime.now(timezone.utc).isoformat()
def get_current_timestamp() -> str:
"""Get the current timestamp in ISO 8601 format with UTC timezone."""
return datetime.now(timezone.utc).isoformat()
def add_timestamp(logger: Any, method_name: str, event_dict: Dict[str, Any]) -> Dict[str, Any]:
"""Add timestamp to log events."""
event_dict["timestamp"] = get_current_timestamp()

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# requirements.txt
# google-custom-search[async]>=3.0.0

import os, asyncio
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Avoid comma-separated imports on the same line. Each import should be on its own line for better readability and maintainability.

Suggested change
import os, asyncio
import os
import asyncio

Copilot uses AI. Check for mistakes.
async def generate_content(
self,
prompt: str,
use_search: bool = False, # kept for compatibility, but ignored
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The use_search parameter is marked as ignored but still present in the interface. Consider removing unused parameters or implementing the functionality to avoid confusion.

Suggested change
use_search: bool = False, # kept for compatibility, but ignored
use_search: bool = False, # deprecated and ignored

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content={
"detail": detail,
"type": "internal_server_error",
"timestamp": "2025-07-19T20:32:49Z"
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Hardcoded timestamp should be replaced with dynamic timestamp generation to provide accurate error timing information.

Suggested change
"timestamp": "2025-07-19T20:32:49Z"
"timestamp": datetime.utcnow().isoformat() + "Z"

Copilot uses AI. Check for mistakes.
Comment on lines +172 to +173
# Fix: Set trusted hosts to allow testserver
monkeypatch.setenv("TRUSTED_HOSTS", "testserver,localhost,127.0.0.1") No newline at end of file
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[nitpick] Setting TRUSTED_HOSTS to include 'testserver' in test configuration could mask potential security issues. Consider using more restrictive host validation even in tests.

Suggested change
# Fix: Set trusted hosts to allow testserver
monkeypatch.setenv("TRUSTED_HOSTS", "testserver,localhost,127.0.0.1")
# Restrict trusted hosts to localhost and 127.0.0.1
monkeypatch.setenv("TRUSTED_HOSTS", "localhost,127.0.0.1")

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Comment on lines +36 to +37
# Debug print
print(f"Config loaded - google api key set: {bool(GOOGLE_API_KEY)}, ") No newline at end of file
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Debug print statement could potentially expose sensitive configuration information in logs. Consider using proper logging with appropriate log levels instead of print statements.

Suggested change
# Debug print
print(f"Config loaded - google api key set: {bool(GOOGLE_API_KEY)}, ")
# Debug logging
logging.debug(f"Config loaded - google api key set: {bool(GOOGLE_API_KEY)}, ")

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@4darsh-Dev 4darsh-Dev merged commit 7b80246 into main Jul 20, 2025
6 of 7 checks passed
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2 participants