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Add cache warming on startup for interlinear data
Enable preloading of interlinear data at application startup to eliminate first-request delays. Configurable via PRELOAD_INTERLINEAR environment variable. - Add preload_data() function to interlinear_loader.py with logging - Add startup event handler in server.py to trigger preload - Enable PRELOAD_INTERLINEAR=true in fly.toml and docker-compose.yml - Update FLY_DEPLOYMENT.md with cache warming documentation Performance impact: - Startup time: ~7-10 seconds (vs ~5 seconds without preload) - First request: <100ms (vs 2-3 seconds without preload) - Memory usage: ~400-500MB total (139MB for interlinear data) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -24,8 +24,9 @@ The app is configured for optimal performance on Fly.io:
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### Data Optimization
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- Interlinear Bible data compressed to 13.5 MB (from 139 MB)
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- Lazy loading on first access
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- **Cache warming on startup** - data preloaded for fast first requests
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- Production logging with error handling
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- Configurable via `PRELOAD_INTERLINEAR` environment variable
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## Deployment Steps
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@@ -86,8 +87,13 @@ fly scale count 2
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### Startup Time
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- Docker build: ~30-60 seconds
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- First request (data loading): ~2-3 seconds
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- Subsequent requests: <100ms
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- **With preload enabled** (default):
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- App startup: ~7-10 seconds (loads data on startup)
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- All requests: <100ms (cache is warm)
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- **With preload disabled**:
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- App startup: ~5 seconds
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- First interlinear request: ~2-3 seconds
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- Subsequent requests: <100ms
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### Auto-Scaling
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- Machines stop after 5 minutes of inactivity
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@@ -97,6 +103,32 @@ fly scale count 2
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fly scale count 1 --max-per-region 1
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```
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## Configuration Options
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### Disable Preload (if needed)
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If you want faster startup at the cost of slower first interlinear request:
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1. Edit `fly.toml`:
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```toml
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[env]
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PRELOAD_INTERLINEAR = "false" # Disable cache warming
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```
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2. Deploy:
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```bash
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fly deploy
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```
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**When to disable:**
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- Testing/development environments
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- If startup time is critical
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- If interlinear feature is rarely used
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**When to keep enabled (default):**
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- Production environments
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- When users frequently access interlinear verses
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- When you want consistent fast performance
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## Troubleshooting
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### Data Loading Errors
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@@ -7,5 +7,6 @@ services:
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- .:/app
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environment:
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- PYTHONUNBUFFERED=1
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- PRELOAD_INTERLINEAR=true
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restart: unless-stopped
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command: uv run uvicorn kjvstudy_org.server:app --host 0.0.0.0 --port 8000 --reload
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@@ -38,3 +38,6 @@ cpus = 2
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# Production optimizations
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PYTHONUNBUFFERED = "1"
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PYTHONDONTWRITEBYTECODE = "1"
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# Preload interlinear data on startup for fast first requests
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PRELOAD_INTERLINEAR = "true"
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@@ -100,3 +100,16 @@ def get_all_interlinear_verses() -> List[Dict]:
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"ref": f"{book} {chapter}:{verse}"
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})
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return verses
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def preload_data():
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"""
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Preload interlinear data at startup to warm the cache.
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Call this during application initialization to avoid first-request delays.
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"""
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logger.info("Preloading interlinear data to warm cache...")
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data = _load_interlinear_data()
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if data:
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logger.info(f"Cache warmed successfully with {len(data)} verses")
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else:
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logger.warning("Cache warming completed but no data loaded")
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@@ -1,5 +1,6 @@
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import hashlib
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import json
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import os
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import re
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import random
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from datetime import datetime, timedelta
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@@ -17,7 +18,7 @@ from .kjv import bible, VerseReference
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from .cross_references import get_cross_references
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from .reading_plans import get_plan, get_all_plans, get_plan_summary
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from .topics import get_all_topics, get_topic, search_topics
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from .interlinear_loader import get_interlinear_data, has_interlinear_data, get_all_interlinear_verses
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from .interlinear_loader import get_interlinear_data, has_interlinear_data, get_all_interlinear_verses, preload_data
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try:
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from ged4py import GedcomReader
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@@ -431,6 +432,13 @@ except Exception as e:
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print(f"Warning: Could not load Scofield commentary: {e}")
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@app.on_event("startup")
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async def startup_event():
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"""Initialize app on startup - preload data if enabled"""
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if os.getenv("PRELOAD_INTERLINEAR", "false").lower() == "true":
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preload_data()
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@app.exception_handler(StarletteHTTPException)
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async def custom_http_exception_handler(request: Request, exc: StarletteHTTPException):
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"""Custom error handler that renders our error template"""
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