feat(crawl4ai): Implement SMART cache mode

This commit introduces a new cache mode, SMART, to the crawl4ai library. The SMART mode intelligently validates cached content using HEAD requests before using it, saving significant bandwidth while ensuring fresh content. The changes include modifications to the async_webcrawler.py, cache_context.py, and utils.py files in the crawl4ai directory. The async_webcrawler.py file now includes a check for the SMART cache mode and performs a HEAD check to see if the content has changed. If the content has changed, the url is re-crawled; otherwise, the cached result is used. The cache_context.py and utils.py files have been updated to support these changes.

The documentation has also been updated to reflect these changes. The cache-modes.md file now includes a detailed explanation of the SMART mode, its logs, limitations, and an advanced example. The examples.md file now includes a link to the SMART Cache Mode example. The quickstart.md file now mentions the SMART mode in the note about cache modes.

These changes improve the efficiency of the crawl4ai library by reducing unnecessary re-crawling and bandwidth usage.

BREAKING CHANGE: The introduction of the SMART cache mode may affect existing code that uses the crawl4ai library and does not expect this new mode. Users should review the updated documentation to understand how to use this new mode.
This commit is contained in:
UncleCode
2025-07-21 21:19:37 +08:00
parent 8a04351406
commit d1de82a332
11 changed files with 1139 additions and 29 deletions

View File

@@ -47,6 +47,7 @@ from .utils import (
get_error_context,
RobotsParser,
preprocess_html_for_schema,
should_crawl_based_on_head,
)
@@ -268,31 +269,56 @@ class AsyncWebCrawler:
cached_result = await async_db_manager.aget_cached_url(url)
if cached_result:
html = sanitize_input_encode(cached_result.html)
extracted_content = sanitize_input_encode(
cached_result.extracted_content or ""
)
extracted_content = (
None
if not extracted_content or extracted_content == "[]"
else extracted_content
)
# If screenshot is requested but its not in cache, then set cache_result to None
screenshot_data = cached_result.screenshot
pdf_data = cached_result.pdf
# if config.screenshot and not screenshot or config.pdf and not pdf:
if config.screenshot and not screenshot_data:
cached_result = None
# Check if SMART mode requires validation
if cache_context.cache_mode == CacheMode.SMART:
# Perform HEAD check to see if content has changed
user_agent = self.crawler_strategy.user_agent if hasattr(self.crawler_strategy, 'user_agent') else "Mozilla/5.0"
should_crawl, reason = await should_crawl_based_on_head(
url=url,
cached_headers=cached_result.response_headers or {},
user_agent=user_agent,
timeout=5
)
if should_crawl:
self.logger.info(
f"SMART cache: {reason} - Re-crawling {url}",
tag="SMART"
)
cached_result = None # Force re-crawl
else:
self.logger.info(
f"SMART cache: {reason} - Using cache for {url}",
tag="SMART"
)
# Process cached result if still valid
if cached_result:
html = sanitize_input_encode(cached_result.html)
extracted_content = sanitize_input_encode(
cached_result.extracted_content or ""
)
extracted_content = (
None
if not extracted_content or extracted_content == "[]"
else extracted_content
)
# If screenshot is requested but its not in cache, then set cache_result to None
screenshot_data = cached_result.screenshot
pdf_data = cached_result.pdf
# if config.screenshot and not screenshot or config.pdf and not pdf:
if config.screenshot and not screenshot_data:
cached_result = None
if config.pdf and not pdf_data:
cached_result = None
if config.pdf and not pdf_data:
cached_result = None
self.logger.url_status(
url=cache_context.display_url,
success=bool(html),
timing=time.perf_counter() - start_time,
tag="FETCH",
)
self.logger.url_status(
url=cache_context.display_url,
success=bool(html),
timing=time.perf_counter() - start_time,
tag="FETCH",
)
# Update proxy configuration from rotation strategy if available
if config and config.proxy_rotation_strategy:

View File

@@ -11,6 +11,7 @@ class CacheMode(Enum):
- READ_ONLY: Only read from cache, don't write
- WRITE_ONLY: Only write to cache, don't read
- BYPASS: Bypass cache for this operation
- SMART: Validate cache with HEAD request before using
"""
ENABLED = "enabled"
@@ -18,6 +19,7 @@ class CacheMode(Enum):
READ_ONLY = "read_only"
WRITE_ONLY = "write_only"
BYPASS = "bypass"
SMART = "smart"
class CacheContext:
@@ -62,14 +64,14 @@ class CacheContext:
How it works:
1. If always_bypass is True or is_cacheable is False, return False.
2. If cache_mode is ENABLED or READ_ONLY, return True.
2. If cache_mode is ENABLED, READ_ONLY, or SMART, return True.
Returns:
bool: True if cache should be read, False otherwise.
"""
if self.always_bypass or not self.is_cacheable:
return False
return self.cache_mode in [CacheMode.ENABLED, CacheMode.READ_ONLY]
return self.cache_mode in [CacheMode.ENABLED, CacheMode.READ_ONLY, CacheMode.SMART]
def should_write(self) -> bool:
"""
@@ -77,14 +79,14 @@ class CacheContext:
How it works:
1. If always_bypass is True or is_cacheable is False, return False.
2. If cache_mode is ENABLED or WRITE_ONLY, return True.
2. If cache_mode is ENABLED, WRITE_ONLY, or SMART, return True.
Returns:
bool: True if cache should be written, False otherwise.
"""
if self.always_bypass or not self.is_cacheable:
return False
return self.cache_mode in [CacheMode.ENABLED, CacheMode.WRITE_ONLY]
return self.cache_mode in [CacheMode.ENABLED, CacheMode.WRITE_ONLY, CacheMode.SMART]
@property
def display_url(self) -> str:

View File

@@ -3387,3 +3387,90 @@ def cosine_distance(vec1: np.ndarray, vec2: np.ndarray) -> float:
"""Calculate cosine distance (1 - similarity) between two vectors"""
return 1 - cosine_similarity(vec1, vec2)
async def should_crawl_based_on_head(
url: str,
cached_headers: Dict[str, str],
user_agent: str = "Mozilla/5.0",
timeout: int = 5
) -> tuple[bool, str]:
"""
Check if content has changed using HEAD request.
Args:
url: The URL to check
cached_headers: The cached response headers from previous crawl
user_agent: User agent string to use for the HEAD request
timeout: Timeout in seconds for the HEAD request
Returns:
Tuple of (should_crawl: bool, reason: str)
- should_crawl: True if content has changed and should be re-crawled, False otherwise
- reason: Explanation of the decision
"""
import email.utils
if not cached_headers:
return True, "No cached headers available, must crawl"
headers = {
"Accept-Encoding": "identity",
"User-Agent": user_agent,
"Want-Content-Digest": "sha-256", # Request RFC 9530 digest
}
# Add conditional headers if available in cache
if cached_headers.get("etag"):
headers["If-None-Match"] = cached_headers["etag"]
if cached_headers.get("last-modified"):
headers["If-Modified-Since"] = cached_headers["last-modified"]
try:
async with aiohttp.ClientSession() as session:
async with session.head(
url,
headers=headers,
timeout=aiohttp.ClientTimeout(total=timeout),
allow_redirects=True
) as response:
# 304 Not Modified - content hasn't changed
if response.status == 304:
return False, "304 Not Modified - Content unchanged"
# Check other headers if no 304 response
new_headers = dict(response.headers)
# Check Content-Digest (most reliable)
if new_headers.get("content-digest") and cached_headers.get("content-digest"):
if new_headers["content-digest"] == cached_headers["content-digest"]:
return False, "Content-Digest matches - Content unchanged"
# Check strong ETag
if new_headers.get("etag") and cached_headers.get("etag"):
# Strong ETags start with '"'
if (new_headers["etag"].startswith('"') and
new_headers["etag"] == cached_headers["etag"]):
return False, "Strong ETag matches - Content unchanged"
# Check Last-Modified
if new_headers.get("last-modified") and cached_headers.get("last-modified"):
try:
new_lm = email.utils.parsedate_to_datetime(new_headers["last-modified"])
cached_lm = email.utils.parsedate_to_datetime(cached_headers["last-modified"])
if new_lm <= cached_lm:
return False, "Last-Modified not newer - Content unchanged"
except Exception:
pass
# Content-Length changed is a positive signal
if (new_headers.get("content-length") and cached_headers.get("content-length") and
new_headers["content-length"] != cached_headers["content-length"]):
return True, f"Content-Length changed ({cached_headers['content-length']} -> {new_headers['content-length']})"
# Default: assume content has changed
return True, "No definitive cache headers matched - Assuming content changed"
except Exception as e:
# On error, assume content has changed (safe default)
return True, f"HEAD request failed: {str(e)} - Assuming content changed"

View File

@@ -0,0 +1,202 @@
"""
SMART Cache Mode Example for Crawl4AI
This example demonstrates how to use the SMART cache mode to intelligently
validate cached content before using it. SMART mode can save 70-95% bandwidth
on unchanged content while ensuring you always get fresh data when it changes.
SMART Cache Mode: Only Crawl When Changes
"""
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
import asyncio
import time
from crawl4ai import AsyncWebCrawler
from crawl4ai.cache_context import CacheMode
from crawl4ai.async_configs import CrawlerRunConfig
async def basic_smart_cache_example():
"""Basic example showing SMART cache mode in action"""
print("=== Basic SMART Cache Example ===\n")
async with AsyncWebCrawler(verbose=True) as crawler:
url = "https://example.com"
# First crawl: Cache the content
print("1. Initial crawl to cache the content:")
config = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
result1 = await crawler.arun(url=url, config=config)
print(f" Initial crawl: {len(result1.html)} bytes\n")
# Second crawl: Use SMART mode
print("2. SMART mode crawl (should use cache for static content):")
smart_config = CrawlerRunConfig(cache_mode=CacheMode.SMART)
start_time = time.time()
result2 = await crawler.arun(url=url, config=smart_config)
elapsed = time.time() - start_time
print(f" SMART crawl: {len(result2.html)} bytes in {elapsed:.2f}s")
print(f" Content identical: {result1.html == result2.html}\n")
async def news_site_monitoring():
"""Monitor a news site for changes using SMART cache mode"""
print("=== News Site Monitoring Example ===\n")
async with AsyncWebCrawler(verbose=True) as crawler:
config = CrawlerRunConfig(cache_mode=CacheMode.SMART)
url = "https://news.ycombinator.com"
print("Monitoring Hacker News for changes...\n")
previous_length = 0
for i in range(3):
result = await crawler.arun(url=url, config=config)
current_length = len(result.html)
if i == 0:
print(f"Check {i+1}: Initial crawl - {current_length} bytes")
else:
if current_length != previous_length:
print(f"Check {i+1}: Content changed! {previous_length} -> {current_length} bytes")
else:
print(f"Check {i+1}: Content unchanged - {current_length} bytes")
previous_length = current_length
if i < 2: # Don't wait after last check
print(" Waiting 10 seconds before next check...")
await asyncio.sleep(10)
print()
async def compare_cache_modes():
"""Compare different cache modes to understand SMART mode benefits"""
print("=== Cache Mode Comparison ===\n")
async with AsyncWebCrawler(verbose=False) as crawler:
url = "https://www.wikipedia.org"
# First, populate the cache
config = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
await crawler.arun(url=url, config=config)
print("Cache populated.\n")
# Test different cache modes
modes = [
(CacheMode.ENABLED, "ENABLED (always uses cache if available)"),
(CacheMode.BYPASS, "BYPASS (never uses cache)"),
(CacheMode.SMART, "SMART (validates cache before using)")
]
for mode, description in modes:
config = CrawlerRunConfig(cache_mode=mode)
start_time = time.time()
result = await crawler.arun(url=url, config=config)
elapsed = time.time() - start_time
print(f"{description}:")
print(f" Time: {elapsed:.2f}s")
print(f" Size: {len(result.html)} bytes\n")
async def dynamic_content_example():
"""Show how SMART mode handles dynamic content"""
print("=== Dynamic Content Example ===\n")
async with AsyncWebCrawler(verbose=True) as crawler:
# URL that returns different content each time
dynamic_url = "https://httpbin.org/uuid"
print("Testing with dynamic content (changes every request):\n")
# First crawl
config = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
result1 = await crawler.arun(url=dynamic_url, config=config)
# Extract UUID from the response
import re
uuid1 = re.search(r'"uuid":\s*"([^"]+)"', result1.html)
if uuid1:
print(f"1. First crawl UUID: {uuid1.group(1)}")
# SMART mode crawl - should detect change and re-crawl
smart_config = CrawlerRunConfig(cache_mode=CacheMode.SMART)
result2 = await crawler.arun(url=dynamic_url, config=smart_config)
uuid2 = re.search(r'"uuid":\s*"([^"]+)"', result2.html)
if uuid2:
print(f"2. SMART crawl UUID: {uuid2.group(1)}")
print(f" Different UUIDs: {uuid1.group(1) != uuid2.group(1)} (should be True)")
async def bandwidth_savings_demo():
"""Demonstrate bandwidth savings with SMART mode"""
print("=== Bandwidth Savings Demo ===\n")
async with AsyncWebCrawler(verbose=True) as crawler:
# List of URLs to crawl
urls = [
"https://example.com",
"https://www.python.org",
"https://docs.python.org/3/",
]
print("Crawling multiple URLs twice to show bandwidth savings:\n")
# First pass: Cache all URLs
print("First pass - Caching all URLs:")
total_bytes_pass1 = 0
config = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
for url in urls:
result = await crawler.arun(url=url, config=config)
total_bytes_pass1 += len(result.html)
print(f" {url}: {len(result.html)} bytes")
print(f"\nTotal downloaded in first pass: {total_bytes_pass1} bytes")
# Second pass: Use SMART mode
print("\nSecond pass - Using SMART mode:")
total_bytes_pass2 = 0
smart_config = CrawlerRunConfig(cache_mode=CacheMode.SMART)
for url in urls:
result = await crawler.arun(url=url, config=smart_config)
# In SMART mode, unchanged content uses cache (minimal bandwidth)
print(f" {url}: Using {'cache' if result else 'fresh crawl'}")
print(f"\nBandwidth saved: ~{total_bytes_pass1} bytes (only HEAD requests sent)")
async def main():
"""Run all examples"""
examples = [
basic_smart_cache_example,
news_site_monitoring,
compare_cache_modes,
dynamic_content_example,
bandwidth_savings_demo
]
for example in examples:
await example()
print("\n" + "="*50 + "\n")
await asyncio.sleep(2) # Brief pause between examples
if __name__ == "__main__":
print("""
Crawl4AI SMART Cache Mode Examples
==================================
These examples demonstrate the SMART cache mode that intelligently
validates cached content using HEAD requests before deciding whether
to use cache or perform a fresh crawl.
""")
asyncio.run(main())

View File

@@ -19,6 +19,7 @@ The new system uses a single `CacheMode` enum:
- `CacheMode.READ_ONLY`: Only read from cache
- `CacheMode.WRITE_ONLY`: Only write to cache
- `CacheMode.BYPASS`: Skip cache for this operation
- `CacheMode.SMART`: **NEW** - Intelligently validate cache with HEAD requests
## Migration Example
@@ -72,4 +73,128 @@ if __name__ == "__main__":
| `bypass_cache=True` | `cache_mode=CacheMode.BYPASS` |
| `disable_cache=True` | `cache_mode=CacheMode.DISABLED`|
| `no_cache_read=True` | `cache_mode=CacheMode.WRITE_ONLY` |
| `no_cache_write=True` | `cache_mode=CacheMode.READ_ONLY` |
| `no_cache_write=True` | `cache_mode=CacheMode.READ_ONLY` |
## SMART Cache Mode: Only Crawl When Changes
Starting from version 0.7.1, Crawl4AI introduces the **SMART cache mode** - an intelligent caching strategy that validates cached content before using it. This mode uses HTTP HEAD requests to check if content has changed, potentially saving 70-95% bandwidth on unchanged content.
### How SMART Mode Works
When you use `CacheMode.SMART`, Crawl4AI:
1. **Retrieves cached content** (if available)
2. **Sends a HEAD request** with conditional headers (ETag, Last-Modified)
3. **Validates the response**:
- If server returns `304 Not Modified` → uses cache
- If content changed → performs fresh crawl
- If headers indicate changes → performs fresh crawl
### Benefits
- **Bandwidth Efficient**: Only downloads full content when necessary
- **Always Fresh**: Ensures you get the latest content when it changes
- **Cost Effective**: Reduces API calls and bandwidth usage
- **Intelligent**: Uses multiple signals to detect changes (ETag, Last-Modified, Content-Length)
### Basic Usage
```python
import asyncio
from crawl4ai import AsyncWebCrawler
from crawl4ai.cache_context import CacheMode
from crawl4ai.async_configs import CrawlerRunConfig
async def smart_crawl():
async with AsyncWebCrawler(verbose=True) as crawler:
# First crawl - caches the content
config = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
result1 = await crawler.arun(
url="https://example.com",
config=config
)
print(f"First crawl: {len(result1.html)} bytes")
# Second crawl - uses SMART mode
smart_config = CrawlerRunConfig(cache_mode=CacheMode.SMART)
result2 = await crawler.arun(
url="https://example.com",
config=smart_config
)
print(f"SMART crawl: {len(result2.html)} bytes (from cache if unchanged)")
asyncio.run(smart_crawl())
```
### When to Use SMART Mode
SMART mode is ideal for:
- **Periodic crawling** of websites that update irregularly
- **News sites** where you want fresh content but avoid re-downloading unchanged pages
- **API endpoints** that provide proper caching headers
- **Large-scale crawling** where bandwidth costs are significant
### How It Detects Changes
SMART mode checks these signals in order:
1. **304 Not Modified** status (most reliable)
2. **Content-Digest** header (RFC 9530)
3. **Strong ETag** comparison
4. **Last-Modified** timestamp
5. **Content-Length** changes (as a hint)
### Example: News Site Monitoring
```python
async def monitor_news_site():
async with AsyncWebCrawler(verbose=True) as crawler:
config = CrawlerRunConfig(cache_mode=CacheMode.SMART)
# Check multiple times
for i in range(3):
result = await crawler.arun(
url="https://news.ycombinator.com",
config=config
)
# SMART mode will only re-crawl if content changed
print(f"Check {i+1}: Retrieved {len(result.html)} bytes")
await asyncio.sleep(300) # Wait 5 minutes
asyncio.run(monitor_news_site())
```
### Understanding SMART Mode Logs
When using SMART mode with `verbose=True`, you'll see informative logs:
```
[SMART] SMART cache: 304 Not Modified - Content unchanged - Using cache for https://example.com
[SMART] SMART cache: Content-Length changed (12345 -> 12789) - Re-crawling https://example.com
[SMART] SMART cache: No definitive cache headers matched - Assuming content changed - Re-crawling https://example.com
```
### Limitations
- Some servers don't properly support HEAD requests
- Dynamic content without proper cache headers will always be re-crawled
- Content changes must be reflected in HTTP headers for detection
### Advanced Example
For a complete example demonstrating SMART mode with both static and dynamic content, check out `docs/examples/smart_cache.py`.
## Cache Mode Reference
| Mode | Read from Cache | Write to Cache | Use Case |
|------|----------------|----------------|----------|
| `ENABLED` | ✓ | ✓ | Normal operation |
| `DISABLED` | ✗ | ✗ | No caching needed |
| `READ_ONLY` | ✓ | ✗ | Use existing cache only |
| `WRITE_ONLY` | ✗ | ✓ | Refresh cache only |
| `BYPASS` | ✗ | ✗ | Skip cache for this request |
| `SMART` | ✓* | ✓ | Validate before using cache |
*SMART mode reads from cache but validates it first with a HEAD request.

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@@ -37,6 +37,12 @@ This page provides a comprehensive list of example scripts that demonstrate vari
| Storage State | Tutorial on managing browser storage state for persistence. | [View Guide](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/storage_state_tutorial.md) |
| Network Console Capture | Demonstrates how to capture and analyze network requests and console logs. | [View Code](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/network_console_capture_example.py) |
## Caching & Performance
| Example | Description | Link |
|---------|-------------|------|
| SMART Cache Mode | Demonstrates the intelligent SMART cache mode that validates cached content using HEAD requests, saving 70-95% bandwidth while ensuring fresh content. | [View Code](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/smart_cache.py) |
## Extraction Strategies
| Example | Description | Link |

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@@ -79,7 +79,7 @@ if __name__ == "__main__":
asyncio.run(main())
```
> IMPORTANT: By default cache mode is set to `CacheMode.ENABLED`. So to have fresh content, you need to set it to `CacheMode.BYPASS`
> IMPORTANT: By default cache mode is set to `CacheMode.ENABLED`. So to have fresh content, you need to set it to `CacheMode.BYPASS`. For intelligent caching that validates content before using cache, use the new `CacheMode.SMART` - it saves bandwidth while ensuring fresh content.
Well explore more advanced config in later tutorials (like enabling proxies, PDF output, multi-tab sessions, etc.). For now, just note how you pass these objects to manage crawling.

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@@ -0,0 +1,211 @@
import asyncio
import httpx
import email.utils
from datetime import datetime
import json
from typing import Dict, Optional
import time
async def should_crawl(url: str, cache: Optional[Dict[str, str]] = None) -> bool:
"""
Check if a URL should be crawled based on HEAD request headers.
Args:
url: The URL to check
cache: Previous cache data containing etag, last_modified, digest, content_length
Returns:
True if the page has changed and should be crawled, False otherwise
"""
if cache is None:
cache = {}
headers = {
"Accept-Encoding": "identity",
"Want-Content-Digest": "sha-256",
}
if cache.get("etag"):
headers["If-None-Match"] = cache["etag"]
if cache.get("last_modified"):
headers["If-Modified-Since"] = cache["last_modified"]
try:
async with httpx.AsyncClient(follow_redirects=True, timeout=5) as client:
response = await client.head(url, headers=headers)
# 304 Not Modified - content hasn't changed
if response.status_code == 304:
print(f"✓ 304 Not Modified - No need to crawl {url}")
return False
h = response.headers
# Check Content-Digest (most reliable)
if h.get("content-digest") and h["content-digest"] == cache.get("digest"):
print(f"✓ Content-Digest matches - No need to crawl {url}")
return False
# Check strong ETag
if h.get("etag") and h["etag"].startswith('"') and h["etag"] == cache.get("etag"):
print(f"✓ Strong ETag matches - No need to crawl {url}")
return False
# Check Last-Modified
if h.get("last-modified") and cache.get("last_modified"):
try:
lm_new = email.utils.parsedate_to_datetime(h["last-modified"])
lm_old = email.utils.parsedate_to_datetime(cache["last_modified"])
if lm_new <= lm_old:
print(f"✓ Last-Modified not newer - No need to crawl {url}")
return False
except:
pass
# Check Content-Length (weakest signal - only as a hint, not definitive)
# Note: Same content length doesn't mean same content!
# This should only be used when no other signals are available
if h.get("content-length") and cache.get("content_length"):
try:
if int(h["content-length"]) != cache.get("content_length"):
print(f"✗ Content-Length changed - Should crawl {url}")
return True
else:
print(f"⚠️ Content-Length unchanged but content might have changed - Should crawl {url}")
return True # When in doubt, crawl!
except:
pass
print(f"✗ Content has changed - Should crawl {url}")
return True
except Exception as e:
print(f"✗ Error checking {url}: {e}")
return True # On error, assume we should crawl
async def crawl_page(url: str) -> Dict[str, str]:
"""
Simulate crawling a page and extracting cache headers.
"""
print(f"\n🕷️ Crawling {url}...")
async with httpx.AsyncClient(follow_redirects=True, timeout=10) as client:
response = await client.get(url)
cache_data = {}
h = response.headers
if h.get("etag"):
cache_data["etag"] = h["etag"]
print(f" Stored ETag: {h['etag']}")
if h.get("last-modified"):
cache_data["last_modified"] = h["last-modified"]
print(f" Stored Last-Modified: {h['last-modified']}")
if h.get("content-digest"):
cache_data["digest"] = h["content-digest"]
print(f" Stored Content-Digest: {h['content-digest']}")
if h.get("content-length"):
cache_data["content_length"] = int(h["content-length"])
print(f" Stored Content-Length: {h['content-length']}")
print(f" Response size: {len(response.content)} bytes")
return cache_data
async def test_static_site():
"""Test with a static website (example.com)"""
print("=" * 60)
print("Testing with static site: example.com")
print("=" * 60)
url = "https://example.com"
# First crawl - always happens
cache = await crawl_page(url)
# Wait a bit
await asyncio.sleep(2)
# Second check - should not need to crawl
print(f"\n📊 Checking if we need to re-crawl...")
needs_crawl = await should_crawl(url, cache)
if not needs_crawl:
print("✅ Correctly identified: No need to re-crawl static content")
else:
print("❌ Unexpected: Static content flagged as changed")
async def test_dynamic_site():
"""Test with dynamic websites that change frequently"""
print("\n" + "=" * 60)
print("Testing with dynamic sites")
print("=" * 60)
# Test with a few dynamic sites
dynamic_sites = [
"https://api.github.com/", # GitHub API root (changes with rate limit info)
"https://worldtimeapi.org/api/timezone/UTC", # Current time API
"https://httpbin.org/uuid", # Generates new UUID each request
]
for url in dynamic_sites:
print(f"\n🔄 Testing {url}")
try:
# First crawl
cache = await crawl_page(url)
# Wait a bit
await asyncio.sleep(2)
# Check if content changed
print(f"\n📊 Checking if we need to re-crawl...")
needs_crawl = await should_crawl(url, cache)
if needs_crawl:
print("✅ Correctly identified: Dynamic content has changed")
else:
print("⚠️ Note: Dynamic content appears unchanged (might have caching)")
except Exception as e:
print(f"❌ Error testing {url}: {e}")
async def test_conditional_get():
"""Test conditional GET fallback when HEAD doesn't provide enough info"""
print("\n" + "=" * 60)
print("Testing conditional GET scenario")
print("=" * 60)
url = "https://httpbin.org/etag/test-etag-123"
# Simulate a scenario where we have an ETag
cache = {"etag": '"test-etag-123"'}
print(f"Testing with cached ETag: {cache['etag']}")
needs_crawl = await should_crawl(url, cache)
if not needs_crawl:
print("✅ ETag matched - no crawl needed")
else:
print("✅ ETag didn't match - crawl needed")
async def main():
"""Run all tests"""
print("🚀 Starting HEAD request change detection tests\n")
await test_static_site()
await test_dynamic_site()
await test_conditional_get()
print("\n✨ All tests completed!")
if __name__ == "__main__":
asyncio.run(main())

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import asyncio
import httpx
import email.utils
from datetime import datetime
import json
from typing import Dict, Optional
import time
async def should_crawl(url: str, cache: Optional[Dict[str, str]] = None) -> bool:
"""
Check if a URL should be crawled based on HEAD request headers.
"""
if cache is None:
cache = {}
headers = {
"Accept-Encoding": "identity",
"Want-Content-Digest": "sha-256",
"User-Agent": "Mozilla/5.0 (compatible; crawl4ai/1.0)"
}
if cache.get("etag"):
headers["If-None-Match"] = cache["etag"]
if cache.get("last_modified"):
headers["If-Modified-Since"] = cache["last_modified"]
try:
async with httpx.AsyncClient(follow_redirects=True, timeout=5) as client:
response = await client.head(url, headers=headers)
print(f"\nHEAD Response Status: {response.status_code}")
print(f"Headers received: {dict(response.headers)}")
# 304 Not Modified
if response.status_code == 304:
return False
h = response.headers
# Check headers in order of reliability
if h.get("content-digest") and h["content-digest"] == cache.get("digest"):
return False
if h.get("etag") and h["etag"].startswith('"') and h["etag"] == cache.get("etag"):
return False
if h.get("last-modified") and cache.get("last_modified"):
try:
lm_new = email.utils.parsedate_to_datetime(h["last-modified"])
lm_old = email.utils.parsedate_to_datetime(cache["last_modified"])
if lm_new <= lm_old:
return False
except:
pass
# Check Content-Length (weakest signal - only as a hint, not definitive)
# Note: Same content length doesn't mean same content!
if h.get("content-length") and cache.get("content_length"):
try:
if int(h["content-length"]) != cache.get("content_length"):
return True # Length changed, likely content changed
# If length is same, we can't be sure - default to crawling
except:
pass
return True
except Exception as e:
print(f"Error during HEAD request: {e}")
return True
async def test_with_changing_content():
"""Test with a real changing website"""
print("=" * 60)
print("Testing with real changing content")
print("=" * 60)
# Using httpbin's cache endpoint that changes after specified seconds
url = "https://httpbin.org/cache/1" # Cache for 1 second
print(f"\n1⃣ First request to {url}")
async with httpx.AsyncClient() as client:
response1 = await client.get(url)
cache = {}
if response1.headers.get("etag"):
cache["etag"] = response1.headers["etag"]
if response1.headers.get("last-modified"):
cache["last_modified"] = response1.headers["last-modified"]
print(f"Cached ETag: {cache.get('etag', 'None')}")
print(f"Cached Last-Modified: {cache.get('last_modified', 'None')}")
# Check immediately (should not need crawl)
print(f"\n2⃣ Checking immediately after first request...")
needs_crawl = await should_crawl(url, cache)
print(f"Result: {'NEED TO CRAWL' if needs_crawl else 'NO NEED TO CRAWL'}")
# Wait for cache to expire
print(f"\n⏳ Waiting 2 seconds for cache to expire...")
await asyncio.sleep(2)
# Check again (should need crawl now)
print(f"\n3⃣ Checking after cache expiry...")
needs_crawl = await should_crawl(url, cache)
print(f"Result: {'NEED TO CRAWL' if needs_crawl else 'NO NEED TO CRAWL'}")
async def test_news_website():
"""Test with a news website that updates frequently"""
print("\n" + "=" * 60)
print("Testing with news website (BBC)")
print("=" * 60)
url = "https://www.bbc.com"
print(f"\n1⃣ First crawl of {url}")
async with httpx.AsyncClient() as client:
response1 = await client.get(url)
cache = {}
h = response1.headers
if h.get("etag"):
cache["etag"] = h["etag"]
print(f"Stored ETag: {h['etag'][:50]}...")
if h.get("last-modified"):
cache["last_modified"] = h["last-modified"]
print(f"Stored Last-Modified: {h['last-modified']}")
if h.get("content-length"):
cache["content_length"] = int(h["content-length"])
print(f"Stored Content-Length: {h['content-length']}")
# Check multiple times
for i in range(3):
await asyncio.sleep(5)
print(f"\n📊 Check #{i+2} - {datetime.now().strftime('%H:%M:%S')}")
needs_crawl = await should_crawl(url, cache)
print(f"Result: {'NEED TO CRAWL ✓' if needs_crawl else 'NO NEED TO CRAWL ✗'}")
async def test_api_endpoint():
"""Test with an API that provides proper caching headers"""
print("\n" + "=" * 60)
print("Testing with GitHub API")
print("=" * 60)
# GitHub user API (updates when user data changes)
url = "https://api.github.com/users/github"
headers = {"User-Agent": "crawl4ai-test"}
print(f"\n1⃣ First request to {url}")
async with httpx.AsyncClient() as client:
response1 = await client.get(url, headers=headers)
cache = {}
h = response1.headers
if h.get("etag"):
cache["etag"] = h["etag"]
print(f"Stored ETag: {h['etag']}")
if h.get("last-modified"):
cache["last_modified"] = h["last-modified"]
print(f"Stored Last-Modified: {h['last-modified']}")
# Print rate limit info
print(f"Rate Limit Remaining: {h.get('x-ratelimit-remaining', 'N/A')}")
# Check if content changed
print(f"\n2⃣ Checking if content changed...")
needs_crawl = await should_crawl(url, cache)
print(f"Result: {'NEED TO CRAWL' if needs_crawl else 'NO NEED TO CRAWL (content unchanged)'}")
async def main():
"""Run all tests"""
print("🚀 Testing HEAD request change detection with real websites\n")
await test_with_changing_content()
await test_news_website()
await test_api_endpoint()
print("\n✨ All tests completed!")
if __name__ == "__main__":
asyncio.run(main())

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"""
Test SMART cache mode functionality in crawl4ai.
This test demonstrates:
1. Initial crawl with caching enabled
2. Re-crawl with SMART mode on static content (should use cache)
3. Re-crawl with SMART mode on dynamic content (should re-crawl)
"""
import asyncio
from crawl4ai import AsyncWebCrawler
from crawl4ai.async_configs import CrawlerRunConfig
from crawl4ai.cache_context import CacheMode
import time
from datetime import datetime
async def test_smart_cache_mode():
"""Test the SMART cache mode with both static and dynamic URLs"""
print("=" * 60)
print("Testing SMART Cache Mode")
print("=" * 60)
# URLs for testing
static_url = "https://example.com" # Rarely changes
dynamic_url = "https://httpbin.org/uuid" # Changes every request
async with AsyncWebCrawler(verbose=True) as crawler:
# Test 1: Initial crawl with caching enabled
print("\n1⃣ Initial crawl with ENABLED cache mode")
print("-" * 40)
# Crawl static URL
config_static = CrawlerRunConfig(
cache_mode=CacheMode.ENABLED,
verbose=True
)
result_static_1 = await crawler.arun(url=static_url, config=config_static)
print(f"✓ Static URL crawled: {len(result_static_1.html)} bytes")
print(f" Response headers: {list(result_static_1.response_headers.keys())[:5]}...")
# Crawl dynamic URL
config_dynamic = CrawlerRunConfig(
cache_mode=CacheMode.ENABLED,
verbose=True
)
result_dynamic_1 = await crawler.arun(url=dynamic_url, config=config_dynamic)
print(f"✓ Dynamic URL crawled: {len(result_dynamic_1.html)} bytes")
dynamic_content_1 = result_dynamic_1.html
# Wait a bit
await asyncio.sleep(2)
# Test 2: Re-crawl static URL with SMART mode
print("\n2⃣ Re-crawl static URL with SMART cache mode")
print("-" * 40)
config_smart = CrawlerRunConfig(
cache_mode=CacheMode.SMART, # This will be our new mode
verbose=True
)
start_time = time.time()
result_static_2 = await crawler.arun(url=static_url, config=config_smart)
elapsed = time.time() - start_time
print(f"✓ Static URL with SMART mode completed in {elapsed:.2f}s")
print(f" Should use cache (content unchanged)")
print(f" HTML length: {len(result_static_2.html)} bytes")
# Test 3: Re-crawl dynamic URL with SMART mode
print("\n3⃣ Re-crawl dynamic URL with SMART cache mode")
print("-" * 40)
start_time = time.time()
result_dynamic_2 = await crawler.arun(url=dynamic_url, config=config_smart)
elapsed = time.time() - start_time
dynamic_content_2 = result_dynamic_2.html
print(f"✓ Dynamic URL with SMART mode completed in {elapsed:.2f}s")
print(f" Should re-crawl (content changes every request)")
print(f" HTML length: {len(result_dynamic_2.html)} bytes")
print(f" Content changed: {dynamic_content_1 != dynamic_content_2}")
# Test 4: Test with a news website (content changes frequently)
print("\n4⃣ Testing with news website")
print("-" * 40)
news_url = "https://news.ycombinator.com"
# First crawl
result_news_1 = await crawler.arun(
url=news_url,
config=CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
)
print(f"✓ News site initial crawl: {len(result_news_1.html)} bytes")
# Wait a bit
await asyncio.sleep(5)
# Re-crawl with SMART mode
start_time = time.time()
result_news_2 = await crawler.arun(
url=news_url,
config=CrawlerRunConfig(cache_mode=CacheMode.SMART)
)
elapsed = time.time() - start_time
print(f"✓ News site SMART mode completed in {elapsed:.2f}s")
print(f" Content length changed: {len(result_news_1.html) != len(result_news_2.html)}")
# Summary
print("\n" + "=" * 60)
print("Summary")
print("=" * 60)
print("✅ SMART cache mode should:")
print(" - Use cache for static content (example.com)")
print(" - Re-crawl dynamic content (httpbin.org/uuid)")
print(" - Make intelligent decisions based on HEAD requests")
print(" - Save bandwidth on unchanged content")
async def test_smart_cache_edge_cases():
"""Test edge cases for SMART cache mode"""
print("\n" + "=" * 60)
print("Testing SMART Cache Mode Edge Cases")
print("=" * 60)
async with AsyncWebCrawler(verbose=True) as crawler:
# Test with URL that doesn't support HEAD
print("\n🔧 Testing URL with potential HEAD issues")
print("-" * 40)
# Some servers don't handle HEAD well
problematic_url = "https://httpbin.org/status/200"
# Initial crawl
await crawler.arun(
url=problematic_url,
config=CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
)
# Try SMART mode
result = await crawler.arun(
url=problematic_url,
config=CrawlerRunConfig(cache_mode=CacheMode.SMART)
)
print(f"✓ Handled potentially problematic URL: {result.success}")
# Test with URL that has no caching headers
print("\n🔧 Testing URL with no cache headers")
print("-" * 40)
no_cache_url = "https://httpbin.org/html"
# Initial crawl
await crawler.arun(
url=no_cache_url,
config=CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
)
# SMART mode should handle gracefully
result = await crawler.arun(
url=no_cache_url,
config=CrawlerRunConfig(cache_mode=CacheMode.SMART)
)
print(f"✓ Handled URL with no cache headers: {result.success}")
async def main():
"""Run all tests"""
try:
# Run main test
await test_smart_cache_mode()
# Run edge case tests
await test_smart_cache_edge_cases()
print("\n✨ All tests completed!")
except Exception as e:
print(f"\n❌ Error during testing: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
# Note: This test will fail until SMART mode is implemented
print("⚠️ Note: This test expects CacheMode.SMART to be implemented")
print("⚠️ It will fail with AttributeError until the feature is added\n")
asyncio.run(main())

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"""
Simple test for SMART cache mode functionality.
"""
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
import asyncio
from crawl4ai import AsyncWebCrawler
from crawl4ai.async_configs import CrawlerRunConfig
from crawl4ai.cache_context import CacheMode
import time
async def test_smart_cache():
"""Test SMART cache mode with a simple example"""
print("Testing SMART Cache Mode")
print("-" * 40)
# Test URL
url = "https://example.com"
async with AsyncWebCrawler(verbose=True) as crawler:
# First crawl with normal caching
print("\n1. Initial crawl with ENABLED mode:")
config1 = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
result1 = await crawler.arun(url=url, config=config1)
print(f" Crawled: {len(result1.html)} bytes")
print(f" Headers: {list(result1.response_headers.keys())[:3]}...")
# Wait a moment
await asyncio.sleep(2)
# Re-crawl with SMART mode
print("\n2. Re-crawl with SMART mode:")
config2 = CrawlerRunConfig(cache_mode=CacheMode.SMART)
start = time.time()
result2 = await crawler.arun(url=url, config=config2)
elapsed = time.time() - start
print(f" Time: {elapsed:.2f}s")
print(f" Result: {len(result2.html)} bytes")
print(f" Should use cache (content unchanged)")
# Test with dynamic content
print("\n3. Testing with dynamic URL:")
dynamic_url = "https://httpbin.org/uuid"
# First crawl
config3 = CrawlerRunConfig(cache_mode=CacheMode.ENABLED)
result3 = await crawler.arun(url=dynamic_url, config=config3)
content1 = result3.html
# Re-crawl with SMART
config4 = CrawlerRunConfig(cache_mode=CacheMode.SMART)
result4 = await crawler.arun(url=dynamic_url, config=config4)
content2 = result4.html
print(f" Content changed: {content1 != content2}")
print(f" Should re-crawl (dynamic content)")
if __name__ == "__main__":
print(f"Python path: {sys.path[0]}")
print(f"CacheMode values: {[e.value for e in CacheMode]}")
print()
asyncio.run(test_smart_cache())