ALwrity AI Blog Writer - Added Google Grounding UI Implementation
This commit is contained in:
@@ -1,8 +1,12 @@
|
||||
"""
|
||||
AI Blog Writer API Router
|
||||
|
||||
Main router for blog writing operations including research, outline generation,
|
||||
content creation, SEO analysis, and publishing.
|
||||
"""
|
||||
|
||||
from fastapi import APIRouter, HTTPException
|
||||
from typing import Any, Dict
|
||||
import asyncio
|
||||
import uuid
|
||||
from datetime import datetime
|
||||
from typing import Any, Dict, List
|
||||
from loguru import logger
|
||||
|
||||
from models.blog_models import (
|
||||
@@ -25,251 +29,85 @@ from models.blog_models import (
|
||||
HallucinationCheckResponse,
|
||||
)
|
||||
from services.blog_writer.blog_service import BlogWriterService
|
||||
from .task_manager import task_manager
|
||||
from .cache_manager import cache_manager
|
||||
|
||||
|
||||
router = APIRouter(prefix="/api/blog", tags=["AI Blog Writer"])
|
||||
|
||||
service = BlogWriterService()
|
||||
|
||||
# Simple in-memory task storage (in production, use Redis or database)
|
||||
task_storage: Dict[str, Dict[str, Any]] = {}
|
||||
|
||||
|
||||
def cleanup_old_tasks():
|
||||
"""Remove tasks older than 1 hour to prevent memory leaks."""
|
||||
current_time = datetime.now()
|
||||
tasks_to_remove = []
|
||||
|
||||
for task_id, task_data in task_storage.items():
|
||||
if (current_time - task_data["created_at"]).total_seconds() > 3600: # 1 hour
|
||||
tasks_to_remove.append(task_id)
|
||||
|
||||
for task_id in tasks_to_remove:
|
||||
del task_storage[task_id]
|
||||
|
||||
|
||||
@router.get("/health")
|
||||
async def health() -> Dict[str, Any]:
|
||||
"""Health check endpoint."""
|
||||
return {"status": "ok", "service": "ai_blog_writer"}
|
||||
|
||||
|
||||
@router.get("/cache/stats")
|
||||
async def get_cache_stats() -> Dict[str, Any]:
|
||||
"""Get research cache statistics."""
|
||||
try:
|
||||
from services.cache.research_cache import research_cache
|
||||
return research_cache.get_cache_stats()
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.delete("/cache/clear")
|
||||
async def clear_cache() -> Dict[str, Any]:
|
||||
"""Clear the research cache."""
|
||||
try:
|
||||
from services.cache.research_cache import research_cache
|
||||
research_cache.clear_cache()
|
||||
return {"status": "success", "message": "Research cache cleared"}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# Research Endpoints
|
||||
@router.post("/research/start")
|
||||
async def start_research(request: BlogResearchRequest) -> Dict[str, Any]:
|
||||
"""Start a research operation and return a task ID for polling."""
|
||||
try:
|
||||
task_id = str(uuid.uuid4())
|
||||
|
||||
# Initialize task status
|
||||
task_storage[task_id] = {
|
||||
"status": "pending",
|
||||
"created_at": datetime.now(),
|
||||
"result": None,
|
||||
"error": None
|
||||
}
|
||||
|
||||
# Start the research operation in the background
|
||||
asyncio.create_task(run_research_task(task_id, request))
|
||||
|
||||
task_id = task_manager.start_research_task(request)
|
||||
return {"task_id": task_id, "status": "started"}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to start research: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/research/status/{task_id}")
|
||||
async def get_research_status(task_id: str) -> Dict[str, Any]:
|
||||
"""Get the status of a research operation."""
|
||||
# Cleanup old tasks periodically
|
||||
cleanup_old_tasks()
|
||||
|
||||
if task_id not in task_storage:
|
||||
raise HTTPException(status_code=404, detail="Task not found")
|
||||
|
||||
task = task_storage[task_id]
|
||||
response = {
|
||||
"task_id": task_id,
|
||||
"status": task["status"],
|
||||
"created_at": task["created_at"].isoformat(),
|
||||
"progress_messages": task.get("progress_messages", [])
|
||||
}
|
||||
|
||||
if task["status"] == "completed":
|
||||
response["result"] = task["result"]
|
||||
elif task["status"] == "failed":
|
||||
response["error"] = task["error"]
|
||||
|
||||
return response
|
||||
|
||||
|
||||
async def run_research_task(task_id: str, request: BlogResearchRequest):
|
||||
"""Background task to run research and update status with progress messages."""
|
||||
try:
|
||||
# Update status to running
|
||||
task_storage[task_id]["status"] = "running"
|
||||
task_storage[task_id]["progress_messages"] = []
|
||||
|
||||
# Send initial progress message
|
||||
await _update_progress(task_id, "🔍 Starting research operation...")
|
||||
|
||||
# Check cache first
|
||||
await _update_progress(task_id, "📋 Checking cache for existing research...")
|
||||
|
||||
# Run the actual research with progress updates
|
||||
result = await service.research_with_progress(request, task_id)
|
||||
|
||||
# Check if research failed gracefully
|
||||
if not result.success:
|
||||
await _update_progress(task_id, f"❌ Research failed: {result.error_message or 'Unknown error'}")
|
||||
task_storage[task_id]["status"] = "failed"
|
||||
task_storage[task_id]["error"] = result.error_message or "Research failed"
|
||||
else:
|
||||
await _update_progress(task_id, f"✅ Research completed successfully! Found {len(result.sources)} sources and {len(result.search_queries or [])} search queries.")
|
||||
# Update status to completed
|
||||
task_storage[task_id]["status"] = "completed"
|
||||
task_storage[task_id]["result"] = result.dict()
|
||||
status = task_manager.get_task_status(task_id)
|
||||
if status is None:
|
||||
raise HTTPException(status_code=404, detail="Task not found")
|
||||
|
||||
logger.info(f"Research status request for {task_id}: {status['status']} with {len(status.get('progress_messages', []))} progress messages")
|
||||
return status
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
await _update_progress(task_id, f"❌ Research failed with error: {str(e)}")
|
||||
# Update status to failed
|
||||
task_storage[task_id]["status"] = "failed"
|
||||
task_storage[task_id]["error"] = str(e)
|
||||
|
||||
|
||||
async def _update_progress(task_id: str, message: str):
|
||||
"""Update progress message for a task."""
|
||||
if task_id in task_storage:
|
||||
if "progress_messages" not in task_storage[task_id]:
|
||||
task_storage[task_id]["progress_messages"] = []
|
||||
|
||||
progress_entry = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"message": message
|
||||
}
|
||||
task_storage[task_id]["progress_messages"].append(progress_entry)
|
||||
|
||||
# Keep only last 10 progress messages to prevent memory bloat
|
||||
if len(task_storage[task_id]["progress_messages"]) > 10:
|
||||
task_storage[task_id]["progress_messages"] = task_storage[task_id]["progress_messages"][-10:]
|
||||
|
||||
logger.info(f"Progress update for task {task_id}: {message}")
|
||||
|
||||
|
||||
@router.post("/research", response_model=BlogResearchResponse)
|
||||
async def research(request: BlogResearchRequest) -> BlogResearchResponse:
|
||||
"""Legacy endpoint - kept for backward compatibility."""
|
||||
try:
|
||||
return await service.research(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get research status for {task_id}: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# Outline Endpoints
|
||||
@router.post("/outline/start")
|
||||
async def start_outline_generation(request: BlogOutlineRequest) -> Dict[str, Any]:
|
||||
"""Start an outline generation operation and return a task ID for polling."""
|
||||
try:
|
||||
task_id = str(uuid.uuid4())
|
||||
|
||||
# Initialize task status
|
||||
task_storage[task_id] = {
|
||||
"status": "pending",
|
||||
"created_at": datetime.now(),
|
||||
"result": None,
|
||||
"error": None,
|
||||
"progress_messages": []
|
||||
}
|
||||
|
||||
# Start the outline generation operation in the background
|
||||
asyncio.create_task(run_outline_generation_task(task_id, request))
|
||||
|
||||
task_id = task_manager.start_outline_task(request)
|
||||
return {"task_id": task_id, "status": "started"}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to start outline generation: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/outline/status/{task_id}")
|
||||
async def get_outline_status(task_id: str) -> Dict[str, Any]:
|
||||
"""Get the status of an outline generation operation."""
|
||||
# Cleanup old tasks periodically
|
||||
cleanup_old_tasks()
|
||||
|
||||
if task_id not in task_storage:
|
||||
raise HTTPException(status_code=404, detail="Task not found")
|
||||
|
||||
task = task_storage[task_id]
|
||||
response = {
|
||||
"task_id": task_id,
|
||||
"status": task["status"],
|
||||
"created_at": task["created_at"].isoformat(),
|
||||
"progress_messages": task.get("progress_messages", [])
|
||||
}
|
||||
|
||||
if task["status"] == "completed":
|
||||
response["result"] = task["result"]
|
||||
elif task["status"] == "failed":
|
||||
response["error"] = task["error"]
|
||||
|
||||
return response
|
||||
|
||||
|
||||
async def run_outline_generation_task(task_id: str, request: BlogOutlineRequest):
|
||||
"""Background task to run outline generation and update status with progress messages."""
|
||||
try:
|
||||
# Update status to running
|
||||
task_storage[task_id]["status"] = "running"
|
||||
task_storage[task_id]["progress_messages"] = []
|
||||
|
||||
# Send initial progress message
|
||||
await _update_progress(task_id, "🧩 Starting outline generation...")
|
||||
|
||||
# Run the actual outline generation with progress updates
|
||||
result = await service.generate_outline_with_progress(request, task_id)
|
||||
|
||||
# Update status to completed
|
||||
await _update_progress(task_id, f"✅ Outline generated successfully! Created {len(result.outline)} sections with {len(result.title_options)} title options.")
|
||||
task_storage[task_id]["status"] = "completed"
|
||||
task_storage[task_id]["result"] = result.dict()
|
||||
status = task_manager.get_task_status(task_id)
|
||||
if status is None:
|
||||
raise HTTPException(status_code=404, detail="Task not found")
|
||||
|
||||
return status
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
await _update_progress(task_id, f"❌ Outline generation failed: {str(e)}")
|
||||
# Update status to failed
|
||||
task_storage[task_id]["status"] = "failed"
|
||||
task_storage[task_id]["error"] = str(e)
|
||||
|
||||
|
||||
@router.post("/outline/generate", response_model=BlogOutlineResponse)
|
||||
async def generate_outline(request: BlogOutlineRequest) -> BlogOutlineResponse:
|
||||
"""Legacy endpoint - kept for backward compatibility."""
|
||||
try:
|
||||
return await service.generate_outline(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get outline status for {task_id}: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.post("/outline/refine", response_model=BlogOutlineResponse)
|
||||
async def refine_outline(request: BlogOutlineRefineRequest) -> BlogOutlineResponse:
|
||||
"""Refine an existing outline with AI improvements."""
|
||||
try:
|
||||
return await service.refine_outline(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to refine outline: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@@ -282,6 +120,7 @@ async def enhance_section(section_data: Dict[str, Any], focus: str = "general im
|
||||
enhanced_section = await service.enhance_section_with_ai(section, focus)
|
||||
return enhanced_section.dict()
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to enhance section: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@@ -294,6 +133,7 @@ async def optimize_outline(outline_data: Dict[str, Any], focus: str = "general o
|
||||
optimized_outline = await service.optimize_outline_with_ai(outline, focus)
|
||||
return {"outline": [section.dict() for section in optimized_outline]}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to optimize outline: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@@ -306,14 +146,18 @@ async def rebalance_outline(outline_data: Dict[str, Any], target_words: int = 15
|
||||
rebalanced_outline = service.rebalance_word_counts(outline, target_words)
|
||||
return {"outline": [section.dict() for section in rebalanced_outline]}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to rebalance outline: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# Content Generation Endpoints
|
||||
@router.post("/section/generate", response_model=BlogSectionResponse)
|
||||
async def generate_section(request: BlogSectionRequest) -> BlogSectionResponse:
|
||||
"""Generate content for a specific section."""
|
||||
try:
|
||||
return await service.generate_section(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to generate section: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@@ -330,46 +174,119 @@ async def get_section_continuity(section_id: str) -> Dict[str, Any]:
|
||||
metrics = continuity.get(section_id)
|
||||
return {"section_id": section_id, "continuity_metrics": metrics}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get section continuity for {section_id}: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.post("/section/optimize", response_model=BlogOptimizeResponse)
|
||||
async def optimize_section(request: BlogOptimizeRequest) -> BlogOptimizeResponse:
|
||||
"""Optimize a specific section for better quality and engagement."""
|
||||
try:
|
||||
return await service.optimize_section(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to optimize section: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# Quality Assurance Endpoints
|
||||
@router.post("/quality/hallucination-check", response_model=HallucinationCheckResponse)
|
||||
async def hallucination_check(request: HallucinationCheckRequest) -> HallucinationCheckResponse:
|
||||
"""Check content for potential hallucinations and factual inaccuracies."""
|
||||
try:
|
||||
return await service.hallucination_check(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to perform hallucination check: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# SEO Endpoints
|
||||
@router.post("/seo/analyze", response_model=BlogSEOAnalyzeResponse)
|
||||
async def seo_analyze(request: BlogSEOAnalyzeRequest) -> BlogSEOAnalyzeResponse:
|
||||
"""Analyze content for SEO optimization opportunities."""
|
||||
try:
|
||||
return await service.seo_analyze(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to perform SEO analysis: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.post("/seo/metadata", response_model=BlogSEOMetadataResponse)
|
||||
async def seo_metadata(request: BlogSEOMetadataRequest) -> BlogSEOMetadataResponse:
|
||||
"""Generate SEO metadata for the blog post."""
|
||||
try:
|
||||
return await service.seo_metadata(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to generate SEO metadata: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# Publishing Endpoints
|
||||
@router.post("/publish", response_model=BlogPublishResponse)
|
||||
async def publish(request: BlogPublishRequest) -> BlogPublishResponse:
|
||||
"""Publish the blog post to the specified platform."""
|
||||
try:
|
||||
return await service.publish(request)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to publish blog: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# Cache Management Endpoints
|
||||
@router.get("/cache/stats")
|
||||
async def get_cache_stats() -> Dict[str, Any]:
|
||||
"""Get research cache statistics."""
|
||||
try:
|
||||
return cache_manager.get_research_cache_stats()
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get cache stats: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.delete("/cache/clear")
|
||||
async def clear_cache() -> Dict[str, Any]:
|
||||
"""Clear the research cache."""
|
||||
try:
|
||||
return cache_manager.clear_research_cache()
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to clear cache: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/cache/outline/stats")
|
||||
async def get_outline_cache_stats():
|
||||
"""Get outline cache statistics."""
|
||||
try:
|
||||
return cache_manager.get_outline_cache_stats()
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get outline cache stats: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.delete("/cache/outline/clear")
|
||||
async def clear_outline_cache():
|
||||
"""Clear all cached outline entries."""
|
||||
try:
|
||||
return cache_manager.clear_outline_cache()
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to clear outline cache: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.post("/cache/outline/invalidate")
|
||||
async def invalidate_outline_cache(request: Dict[str, List[str]]):
|
||||
"""Invalidate outline cache entries for specific keywords."""
|
||||
try:
|
||||
return cache_manager.invalidate_outline_cache_for_keywords(request["keywords"])
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to invalidate outline cache: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/cache/outline/entries")
|
||||
async def get_outline_cache_entries(limit: int = 20):
|
||||
"""Get recent outline cache entries for debugging."""
|
||||
try:
|
||||
return cache_manager.get_recent_outline_cache_entries(limit)
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get outline cache entries: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
Reference in New Issue
Block a user