diff --git a/Dockerfile b/Dockerfile
index 1267578c5..5f8760be1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -168,7 +168,7 @@ RUN mkdir -p /home/appuser/.cache/ms-playwright \
RUN crawl4ai-doctor
# Copy application code
-COPY deploy/docker/* ${APP_HOME}/
+COPY deploy/docker/ ${APP_HOME}/
# copy the playground + any future static assets
COPY deploy/docker/static ${APP_HOME}/static
diff --git a/crawl4ai/async_configs.py b/crawl4ai/async_configs.py
index a43b50a4a..1900be3b3 100644
--- a/crawl4ai/async_configs.py
+++ b/crawl4ai/async_configs.py
@@ -614,11 +614,12 @@ def dump(self) -> dict:
@staticmethod
def load(data: dict) -> "BrowserConfig":
- # Deserialize the object from a dictionary
+ if data is None:
+ return BrowserConfig()
config = from_serializable_dict(data)
if isinstance(config, BrowserConfig):
return config
- return BrowserConfig.from_kwargs(config)
+ return BrowserConfig.from_kwargs(config if config is not None else {})
class VirtualScrollConfig:
"""Configuration for virtual scroll handling.
@@ -1426,6 +1427,9 @@ def __setattr__(self, name, value):
sig = inspect.signature(self.__init__)
all_params = sig.parameters # Dictionary of parameter names and their details
+ if name == 'wait_for' and value is not None and not isinstance(value, str):
+ raise ValueError("'wait_for' must be a string (e.g., a CSS selector or JS expression).")
+
if name in self._UNWANTED_PROPS and value is not all_params[name].default:
raise AttributeError(f"Setting '{name}' is deprecated. {self._UNWANTED_PROPS[name]}")
@@ -1549,11 +1553,12 @@ def dump(self) -> dict:
@staticmethod
def load(data: dict) -> "CrawlerRunConfig":
- # Deserialize the object from a dictionary
+ if data is None:
+ return CrawlerRunConfig()
config = from_serializable_dict(data)
if isinstance(config, CrawlerRunConfig):
return config
- return CrawlerRunConfig.from_kwargs(config)
+ return CrawlerRunConfig.from_kwargs(config if config is not None else {})
def to_dict(self):
return {
diff --git a/deploy/docker/.env.example b/deploy/docker/.env.example
new file mode 100644
index 000000000..f575678dc
--- /dev/null
+++ b/deploy/docker/.env.example
@@ -0,0 +1,62 @@
+# Crawl4AI Environment Configuration
+# Copy this file to .env in the PROJECT ROOT: cp deploy/docker/.env.example .env
+# Then customize with your settings
+
+# ──────────────────────────────────────────────────────────────────
+# Port Configuration
+# ──────────────────────────────────────────────────────────────────
+# Host port mapping (container always runs on 11235 internally)
+HOST_PORT=11235
+
+# ──────────────────────────────────────────────────────────────────
+# LLM Provider API Keys (Runtime Configuration)
+# ──────────────────────────────────────────────────────────────────
+# Add your API keys for the LLM providers you want to use
+OPENAI_API_KEY=
+DEEPSEEK_API_KEY=
+ANTHROPIC_API_KEY=
+GROQ_API_KEY=
+TOGETHER_API_KEY=
+MISTRAL_API_KEY=
+GEMINI_API_TOKEN=
+
+# Optional: Override the default LLM provider
+# Examples: "openai/gpt-4.1-mini", "anthropic/claude-4-sonnet", "deepseek/chat"
+# If not set, uses the provider specified in config.yml (default: openai/gpt-4o-mini)
+# LLM_PROVIDER=anthropic/claude-3-opus
+
+# ──────────────────────────────────────────────────────────────────
+# Docker Image Selection (Optional)
+# ──────────────────────────────────────────────────────────────────
+# Use pre-built image from Docker Hub (recommended)
+# IMAGE=unclecode/crawl4ai:latest
+# TAG=latest
+
+# ──────────────────────────────────────────────────────────────────
+# Build Configuration (Only applies when building locally)
+# ──────────────────────────────────────────────────────────────────
+
+# INSTALL_TYPE: Feature set for the installation
+# - default: Basic installation (~2-3GB image)
+# Includes: JsonCssExtractionStrategy, JsonXPathExtractionStrategy,
+# LLMExtractionStrategy (API-based, no local ML)
+# Best for: Standard web crawling, structured extraction, LLM-based extraction
+#
+# - all: Full installation with ML dependencies (~6-8GB image)
+# Adds: PyTorch, transformers, sentence-transformers, scikit-learn, NLTK
+# Enables: CosineStrategy (semantic clustering), local transformer models
+# Best for: Advanced ML-based extraction, semantic content analysis
+#
+# - torch: PyTorch + scikit-learn + NLTK (no transformers)
+# - transformer: Transformers + sentence-transformers (no PyTorch)
+#
+INSTALL_TYPE=default
+
+# ENABLE_GPU: Enable NVIDIA CUDA support for GPU acceleration
+# - false: CPU-only (works on all platforms)
+# - true: Adds CUDA toolkit (AMD64/x86_64 only, requires NVIDIA GPU)
+#
+# Note: GPU support only available on AMD64 architecture
+# ARM64 (Apple Silicon) will skip GPU installation
+#
+ENABLE_GPU=false
\ No newline at end of file
diff --git a/deploy/docker/.llm.env.example b/deploy/docker/.llm.env.example
deleted file mode 100644
index 254002f44..000000000
--- a/deploy/docker/.llm.env.example
+++ /dev/null
@@ -1,13 +0,0 @@
-# LLM Provider Keys
-OPENAI_API_KEY=your_openai_key_here
-DEEPSEEK_API_KEY=your_deepseek_key_here
-ANTHROPIC_API_KEY=your_anthropic_key_here
-GROQ_API_KEY=your_groq_key_here
-TOGETHER_API_KEY=your_together_key_here
-MISTRAL_API_KEY=your_mistral_key_here
-GEMINI_API_TOKEN=your_gemini_key_here
-
-# Optional: Override the default LLM provider
-# Examples: "openai/gpt-4", "anthropic/claude-3-opus", "deepseek/chat", etc.
-# If not set, uses the provider specified in config.yml (default: openai/gpt-4o-mini)
-# LLM_PROVIDER=anthropic/claude-3-opus
\ No newline at end of file
diff --git a/deploy/docker/README.md b/deploy/docker/README.md
index 49e0030bc..8c4edae59 100644
--- a/deploy/docker/README.md
+++ b/deploy/docker/README.md
@@ -72,11 +72,11 @@ docker pull unclecode/crawl4ai:latest
#### 2. Setup Environment (API Keys)
-If you plan to use LLMs, create a `.llm.env` file in your working directory:
+If you plan to use LLMs, create a `.env` file in your working directory:
```bash
-# Create a .llm.env file with your API keys
-cat > .llm.env << EOL
+# Create a .env file with your API keys
+cat > .env << EOL
# OpenAI
OPENAI_API_KEY=sk-your-key
@@ -91,7 +91,7 @@ ANTHROPIC_API_KEY=your-anthropic-key
# GEMINI_API_TOKEN=your-gemini-token
EOL
```
-> 🔑 **Note**: Keep your API keys secure! Never commit `.llm.env` to version control.
+> 🔑 **Note**: Keep your API keys secure! Never commit `.env` to version control.
#### 3. Run the Container
@@ -106,15 +106,26 @@ EOL
* **With LLM support:**
```bash
- # Make sure .llm.env is in the current directory
+ # Make sure .env is in the current directory
docker run -d \
-p 11235:11235 \
--name crawl4ai \
- --env-file .llm.env \
+ --env-file .env \
--shm-size=1g \
unclecode/crawl4ai:0.7.0-r1
```
+* **With custom host port:**
+ ```bash
+ docker run -d \
+ -p 8080:11235 \
+ --name crawl4ai \
+ --env-file .env \
+ --shm-size=1g \
+ unclecode/crawl4ai:0.7.0-r1
+ ```
+ > Access at `http://localhost:8080` (mapped to container's internal port 11235)
+
> The server will be available at `http://localhost:11235`. Visit `/playground` to access the interactive testing interface.
#### 4. Stopping the Container
@@ -143,15 +154,19 @@ git clone https://github.com/unclecode/crawl4ai.git
cd crawl4ai
```
-#### 2. Environment Setup (API Keys)
+#### 2. Environment Setup
-If you plan to use LLMs, copy the example environment file and add your API keys. This file should be in the **project root directory**.
+Crawl4AI uses a single `.env` file for all configuration:
```bash
# Make sure you are in the 'crawl4ai' root directory
-cp deploy/docker/.llm.env.example .llm.env
-# Now edit .llm.env and add your API keys
+# Copy environment template and customize
+cp .env.example .env
+# Edit .env to:
+# - Set HOST_PORT (default: 11235)
+# - Add your API keys for LLM providers
+# - Configure build options (if building locally)
```
**Flexible LLM Provider Configuration:**
@@ -161,7 +176,7 @@ The Docker setup now supports flexible LLM provider configuration through three
1. **Environment Variable** (Highest Priority): Set `LLM_PROVIDER` to override the default
```bash
export LLM_PROVIDER="anthropic/claude-3-opus"
- # Or in your .llm.env file:
+ # Or in your .env file:
# LLM_PROVIDER=anthropic/claude-3-opus
```
@@ -199,12 +214,15 @@ The `docker-compose.yml` file in the project root provides a simplified approach
```bash
# Build with all features (includes torch and transformers)
INSTALL_TYPE=all docker compose up --build -d
-
+
# Build with GPU support (for AMD64 platforms)
ENABLE_GPU=true docker compose up --build -d
+
+ # Run on custom host port
+ HOST_PORT=8080 docker compose up -d
```
-> The server will be available at `http://localhost:11235`.
+> The server will be available at `http://localhost:11235` (or your custom `HOST_PORT`).
#### 4. Stopping the Service
@@ -219,7 +237,7 @@ If you prefer not to use Docker Compose for direct control over the build and ru
#### 1. Clone Repository & Setup Environment
-Follow steps 1 and 2 from the Docker Compose section above (clone repo, `cd crawl4ai`, create `.llm.env` in the root).
+Follow steps 1 and 2 from the Docker Compose section above (clone repo, `cd crawl4ai`, create `.env` in the root).
#### 2. Build the Image (Multi-Arch)
@@ -253,11 +271,11 @@ docker buildx build \
* **With LLM support:**
```bash
- # Make sure .llm.env is in the current directory (project root)
+ # Make sure .env is in the current directory (project root)
docker run -d \
-p 11235:11235 \
--name crawl4ai-standalone \
- --env-file .llm.env \
+ --env-file .env \
--shm-size=1g \
crawl4ai-local:latest
```
@@ -282,18 +300,23 @@ MCP is an open protocol that standardizes how applications provide context to LL
### Connecting via MCP
-The Crawl4AI server exposes two MCP endpoints:
+The Crawl4AI server exposes an MCP HTTP endpoint:
+
+- **FastMCP HTTP**: `http://localhost:11235/mcp`
-- **Server-Sent Events (SSE)**: `http://localhost:11235/mcp/sse`
-- **WebSocket**: `ws://localhost:11235/mcp/ws`
+> ⚠️ **Known limitation:** The FastMCP HTTP proxy does not yet forward JWT `Authorization`
+> headers. If `security.jwt_enabled=true`, MCP tool calls will fail authentication.
+> Until the auth-forwarding work lands, either
+> disable JWT for MCP usage or introduce an internal-only token/header that the
+> proxy can inject.
### Using with Claude Code
You can add Crawl4AI as an MCP tool provider in Claude Code with a simple command:
```bash
-# Add the Crawl4AI server as an MCP provider
-claude mcp add --transport sse c4ai-sse http://localhost:11235/mcp/sse
+# Add the Crawl4AI server as an MCP provider (HTTP transport)
+claude mcp add --transport http c4ai-http http://localhost:11235/mcp
# List all MCP providers to verify it was added
claude mcp list
@@ -388,19 +411,25 @@ Generates a PDF document of the specified URL.
POST /execute_js
```
-Executes JavaScript snippets on the specified URL and returns the full crawl result.
+Executes JavaScript snippets against a fresh instance of the target page and
+returns the resulting crawl data.
```json
{
"url": "https://example.com",
"scripts": [
- "return document.title",
- "return Array.from(document.querySelectorAll('a')).map(a => a.href)"
+ "(() => { document.body.dataset.demo = 'set'; return true; })()",
+ "(async () => { await new Promise(r => setTimeout(r, 500)); window.snapshot = document.body.dataset.demo; })()"
]
}
```
-- `scripts`: List of JavaScript snippets to execute sequentially
+- `scripts`: List of JavaScript expressions (typically self-invoking
+ functions) that run sequentially in the page context. There is no `page`
+ handle; use DOM APIs such as `document` or `window`.
+- Results only report success or errors—returned values are not surfaced. Run
+ all related snippets in a single call; each request creates and tears down a
+ fresh page.
---
@@ -685,7 +714,7 @@ app:
title: "Crawl4AI API"
version: "1.0.0" # Consider setting this to match library version, e.g., "0.5.1"
host: "0.0.0.0"
- port: 8020 # NOTE: This port is used ONLY when running server.py directly. Gunicorn overrides this (see supervisord.conf).
+ port: 11235 # NOTE: This port is used ONLY when running server.py directly. Gunicorn overrides this (see supervisord.conf).
reload: False # Default set to False - suitable for production
timeout_keep_alive: 300
@@ -768,7 +797,7 @@ You can override the default `config.yml`.
# Assumes my-custom-config.yml is in the current directory
docker run -d -p 11235:11235 \
--name crawl4ai-custom-config \
- --env-file .llm.env \
+ --env-file .env \
--shm-size=1g \
-v $(pwd)/my-custom-config.yml:/app/config.yml \
unclecode/crawl4ai:latest # Or your specific tag
diff --git a/deploy/docker/app/__init__.py b/deploy/docker/app/__init__.py
new file mode 100644
index 000000000..540dee3c5
--- /dev/null
+++ b/deploy/docker/app/__init__.py
@@ -0,0 +1,2 @@
+# deploy/docker/app/__init__.py
+"""Application core - API handlers, schemas, and utilities."""
\ No newline at end of file
diff --git a/deploy/docker/api.py b/deploy/docker/app/api.py
similarity index 77%
rename from deploy/docker/api.py
rename to deploy/docker/app/api.py
index 58d8c01fe..03aae7989 100644
--- a/deploy/docker/api.py
+++ b/deploy/docker/app/api.py
@@ -1,10 +1,11 @@
import os
import json
import asyncio
+import pathlib
from typing import List, Tuple, Dict
from functools import partial
from uuid import uuid4
-from datetime import datetime
+from datetime import datetime, date, UTC
from base64 import b64encode
import logging
@@ -32,9 +33,13 @@
LLMContentFilter
)
from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+from core.error_context import parse_network_error
from crawl4ai.content_scraping_strategy import LXMLWebScrapingStrategy
-from utils import (
+from core.result_handler import ResultHandler
+from app.schemas import StandardizedResponse
+
+from app.utils import (
TaskStatus,
FilterType,
get_base_url,
@@ -42,8 +47,10 @@
should_cleanup_task,
decode_redis_hash,
get_llm_api_key,
- validate_llm_provider
+ validate_llm_provider,
+ datetime_handler
)
+from app.utils import _ensure_within_base_dir
import psutil, time
@@ -76,10 +83,9 @@ async def handle_llm_qa(
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(url)
if not result.success:
- raise HTTPException(
- status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
- detail=result.error_message
- )
+ error_msg = result.error_message or "Failed to fetch content"
+ error_ctx = parse_network_error(error_msg, "LLM QA")
+ raise error_ctx.to_http_exception(status.HTTP_500_INTERNAL_SERVER_ERROR)
content = result.markdown.fit_markdown or result.markdown.raw_markdown
# Create prompt and get LLM response
@@ -221,12 +227,11 @@ async def handle_markdown_request(
cache_mode=cache_mode
)
)
-
+
if not result.success:
- raise HTTPException(
- status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
- detail=result.error_message
- )
+ error_msg = result.error_message or "Failed to fetch content"
+ error_ctx = parse_network_error(error_msg, "Markdown generation")
+ raise error_ctx.to_http_exception(status.HTTP_500_INTERNAL_SERVER_ERROR)
return (result.markdown.raw_markdown
if filter_type == FilterType.RAW
@@ -385,7 +390,7 @@ def create_task_response(task: dict, task_id: str, base_url: str) -> dict:
async def stream_results(crawler: AsyncWebCrawler, results_gen: AsyncGenerator) -> AsyncGenerator[bytes, None]:
"""Stream results with heartbeats and completion markers."""
import json
- from utils import datetime_handler
+ from app.utils import datetime_handler
try:
async for result in results_gen:
@@ -419,7 +424,8 @@ async def handle_crawl_request(
urls: List[str],
browser_config: dict,
crawler_config: dict,
- config: dict
+ config: dict,
+ output_path: str = None
) -> dict:
"""Handle non-streaming crawl requests."""
start_mem_mb = _get_memory_mb() # <--- Get memory before
@@ -430,6 +436,16 @@ async def handle_crawl_request(
try:
urls = [('https://' + url) if not url.startswith(('http://', 'https://')) and not url.startswith(("raw:", "raw://")) else url for url in urls]
browser_config = BrowserConfig.load(browser_config)
+ if getattr(browser_config, "headless", True) is False:
+ raise HTTPException(
+ status.HTTP_400_BAD_REQUEST,
+ "Non-headless browser sessions are not supported inside the Docker image. "
+ "Set browser_config.headless=true or omit the flag."
+ )
+
+ # Extract limit before loading CrawlerRunConfig (limit is not a valid CrawlerRunConfig param)
+ limit = crawler_config.pop("limit", None) if isinstance(crawler_config, dict) else None
+
crawler_config = CrawlerRunConfig.load(crawler_config)
dispatcher = MemoryAdaptiveDispatcher(
@@ -439,7 +455,7 @@ async def handle_crawl_request(
) if config["crawler"]["rate_limiter"]["enabled"] else None
)
- from crawler_pool import get_crawler
+ from app.crawler_pool import get_crawler
crawler = await get_crawler(browser_config)
# crawler: AsyncWebCrawler = AsyncWebCrawler(config=browser_config)
@@ -453,11 +469,52 @@ async def handle_crawl_request(
results = []
func = getattr(crawler, "arun" if len(urls) == 1 else "arun_many")
- partial_func = partial(func,
- urls[0] if len(urls) == 1 else urls,
- config=crawler_config,
- dispatcher=dispatcher)
- results = await partial_func()
+ payload = urls[0] if len(urls) == 1 else urls
+ partial_func = partial(
+ func,
+ payload,
+ config=crawler_config,
+ dispatcher=dispatcher,
+ )
+ try:
+ results_gen = await partial_func()
+ # Handle both list and async generator results
+ if hasattr(results_gen, '__aiter__'):
+ # It's an async generator, collect results up to limit
+ results = []
+ async for result in results_gen:
+ results.append(result)
+ if limit and len(results) >= limit:
+ break
+ else:
+ results = ResultHandler.normalize_results(results_gen)
+ if limit and len(results) > limit:
+ results = results[:limit]
+ except Exception as bulk_error:
+ logger.warning("Bulk crawl failed, retrying per-URL: %s", bulk_error)
+ fallback_results = []
+ for url in urls:
+ # Respect limit in fallback mode
+ if limit and len(fallback_results) >= limit:
+ break
+ try:
+ single_result = await crawler.arun(
+ url=url,
+ config=crawler_config,
+ dispatcher=dispatcher,
+ )
+ normalized_single = ResultHandler.normalize_results(single_result)
+ fallback_results.extend(normalized_single)
+ except Exception as url_error:
+ logger.warning("Crawl failed for %s: %s", url, url_error)
+ fallback_results.append(
+ {
+ "url": url,
+ "success": False,
+ "error_message": str(url_error),
+ }
+ )
+ results = fallback_results
# await crawler.close()
@@ -469,16 +526,12 @@ async def handle_crawl_request(
peak_mem_mb = max(peak_mem_mb if peak_mem_mb else 0, end_mem_mb) # <--- Get peak memory
logger.info(f"Memory usage: Start: {start_mem_mb} MB, End: {end_mem_mb} MB, Delta: {mem_delta_mb} MB, Peak: {peak_mem_mb} MB")
- # Process results to handle PDF bytes
- processed_results = []
- for result in results:
- result_dict = result.model_dump()
- # If PDF exists, encode it to base64
- if result_dict.get('pdf') is not None:
- result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
- processed_results.append(result_dict)
-
- return {
+ processed_results = [
+ ResultHandler.normalize_single_result(result)
+ for result in results
+ ]
+
+ response_data = {
"success": True,
"results": processed_results,
"server_processing_time_s": end_time - start_time,
@@ -486,6 +539,49 @@ async def handle_crawl_request(
"server_peak_memory_mb": peak_mem_mb
}
+ # Handle output_path if provided
+ if output_path:
+ binary_base_dir = config.get("binary", {}).get("default_dir", "/tmp/crawl4ai-exports")
+
+ # Clean up the path - remove any surrounding quotes and normalize
+ clean_path = output_path.strip('"\'')
+
+ # Only use abspath if it's not already an absolute path
+ if os.path.isabs(clean_path):
+ abs_path = os.path.normpath(clean_path)
+ else:
+ abs_path = os.path.abspath(clean_path)
+
+ # Validate path is within allowed directory
+ _ensure_within_base_dir(abs_path, binary_base_dir)
+
+ # Ensure directory exists
+ os.makedirs(os.path.dirname(abs_path), exist_ok=True)
+
+ # Write JSON to file
+ try:
+ from app.utils import datetime_handler
+ with open(abs_path, 'w', encoding='utf-8') as f:
+ json.dump(response_data, f, ensure_ascii=False, indent=2, default=datetime_handler)
+ return {
+ "success": True,
+ "path": abs_path,
+ "results_count": len(processed_results),
+ "server_processing_time_s": end_time - start_time,
+ "server_memory_delta_mb": mem_delta_mb,
+ "server_peak_memory_mb": peak_mem_mb
+ }
+ except (OSError, TypeError) as write_error:
+ logger.warning("crawl file write failed: %s", write_error, exc_info=True)
+ raise HTTPException(
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+ detail=f"Failed to write to {abs_path}: {str(write_error)}"
+ )
+
+ return response_data
+
+ except HTTPException:
+ raise
except Exception as e:
logger.error(f"Crawl error: {str(e)}", exc_info=True)
if 'crawler' in locals() and crawler.ready: # Check if crawler was initialized and started
@@ -500,9 +596,10 @@ async def handle_crawl_request(
if start_mem_mb is not None and end_mem_mb_error is not None:
mem_delta_mb = end_mem_mb_error - start_mem_mb
+ import json as json_module # Import locally to avoid any scoping issues
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
- detail=json.dumps({ # Send structured error
+ detail=json_module.dumps({ # Send structured error
"error": str(e),
"server_memory_delta_mb": mem_delta_mb,
"server_peak_memory_mb": max(peak_mem_mb if peak_mem_mb else 0, end_mem_mb_error or 0)
@@ -531,7 +628,7 @@ async def handle_stream_crawl_request(
)
)
- from crawler_pool import get_crawler
+ from app.crawler_pool import get_crawler
crawler = await get_crawler(browser_config)
# crawler = AsyncWebCrawler(config=browser_config)
@@ -576,7 +673,7 @@ async def handle_crawl_job(
task_id = f"crawl_{uuid4().hex[:8]}"
await redis.hset(f"task:{task_id}", mapping={
"status": TaskStatus.PROCESSING, # <-- keep enum values consistent
- "created_at": datetime.utcnow().isoformat(),
+ "created_at": datetime.now(UTC).isoformat(),
"url": json.dumps(urls), # store list as JSON string
"result": "",
"error": "",
@@ -602,4 +699,4 @@ async def _runner():
})
background_tasks.add_task(_runner)
- return {"task_id": task_id}
\ No newline at end of file
+ return {"task_id": task_id}
diff --git a/deploy/docker/crawler_pool.py b/deploy/docker/app/crawler_pool.py
similarity index 98%
rename from deploy/docker/crawler_pool.py
rename to deploy/docker/app/crawler_pool.py
index d15102e4d..7d4860bfd 100644
--- a/deploy/docker/crawler_pool.py
+++ b/deploy/docker/app/crawler_pool.py
@@ -4,7 +4,7 @@
from typing import Dict
from crawl4ai import AsyncWebCrawler, BrowserConfig
from typing import Dict
-from utils import load_config
+from app.utils import load_config
CONFIG = load_config()
diff --git a/deploy/docker/app/schemas.py b/deploy/docker/app/schemas.py
new file mode 100644
index 000000000..12fb2871f
--- /dev/null
+++ b/deploy/docker/app/schemas.py
@@ -0,0 +1,199 @@
+from typing import List, Optional, Dict, Any
+from enum import Enum
+from pydantic import BaseModel, Field
+from app.utils import FilterType
+
+
+class CrawlRequest(BaseModel):
+ urls: List[str] = Field(min_length=1, max_length=100)
+ browser_config: Optional[Dict] = Field(default_factory=dict)
+ crawler_config: Optional[Dict] = Field(default_factory=dict)
+ output_path: Optional[str] = Field(None, description="Path to save crawl results as JSON (recommended for large multi-URL crawls to avoid MCP token limits)")
+
+class MarkdownRequest(BaseModel):
+ """Request body for the /md endpoint."""
+ url: str = Field(..., description="Absolute URL to fetch (http/https) or raw HTML via raw: scheme")
+ filter: FilterType = Field(
+ FilterType.FIT,
+ description="Filter type. Allowed values: 'raw', 'fit', 'bm25', 'llm'"
+ )
+ query: Optional[str] = Field(
+ None,
+ description="Query used when filter is 'bm25' or 'llm' (recommended/required for meaningful results)"
+ )
+ cache: Optional[str] = Field("0", description="Cache-bust / revision counter")
+ provider: Optional[str] = Field(
+ None,
+ description="LLM provider override for filter='llm' (e.g., 'openai/gpt-4o-mini'). API key must be configured",
+ )
+
+
+class RawCode(BaseModel):
+ code: str
+
+class HTMLRequest(BaseModel):
+ url: str
+
+class ScreenshotRequest(BaseModel):
+ url: str
+ screenshot_wait_for: Optional[float] = Field(2.0, description="Delay before capture in seconds. Zero/negative values accepted (treated as immediate capture). Default: 2.0 seconds")
+ output_path: Optional[str] = Field(None, description="Path to save PNG to disk (recommended to avoid large base64 responses)")
+
+class PDFRequest(BaseModel):
+ url: str
+ output_path: Optional[str] = Field(None, description="Path to save PDF to disk (recommended to avoid large base64 responses)")
+
+
+class JSEndpointRequest(BaseModel):
+ url: str
+ scripts: List[str] = Field(
+ ...,
+ description="List of separated JavaScript snippets to execute"
+ )
+
+
+class StandardizedResponse(BaseModel):
+ """Standardized response format for all crawl operations."""
+ success: bool = Field(..., description="Whether the operation succeeded")
+ results: List[Dict[str, Any]] = Field(default_factory=list, description="List of crawl results")
+ server_processing_time_s: Optional[float] = Field(None, description="Server processing time in seconds")
+ server_memory_delta_mb: Optional[float] = Field(None, description="Memory usage delta in MB")
+ server_peak_memory_mb: Optional[float] = Field(None, description="Peak memory usage in MB")
+ error_message: Optional[str] = Field(None, description="Error message if operation failed")
+
+ @classmethod
+ def success_response(
+ cls,
+ results: List[Dict[str, Any]],
+ processing_time: Optional[float] = None,
+ memory_delta: Optional[float] = None,
+ memory_peak: Optional[float] = None
+ ) -> "StandardizedResponse":
+ """Create a successful response."""
+ return cls(
+ success=True,
+ results=results,
+ server_processing_time_s=processing_time,
+ server_memory_delta_mb=memory_delta,
+ server_peak_memory_mb=memory_peak
+ )
+
+ @classmethod
+ def error_response(
+ cls,
+ error_message: str,
+ processing_time: Optional[float] = None
+ ) -> "StandardizedResponse":
+ """Create an error response."""
+ return cls(
+ success=False,
+ results=[],
+ error_message=error_message,
+ server_processing_time_s=processing_time
+ )
+
+
+class ErrorResponse(BaseModel):
+ """Standardized error response format."""
+ success: bool = Field(False, description="Always false for error responses")
+ error_type: str = Field(..., description="Type of error (network, validation, security, etc.)")
+ error_message: str = Field(..., description="User-friendly error message")
+ error_code: Optional[str] = Field(None, description="Specific error code for programmatic handling")
+ details: Optional[Dict[str, Any]] = Field(None, description="Additional error context")
+ suggestions: Optional[List[str]] = Field(None, description="Suggested actions to resolve the error")
+ operation: Optional[str] = Field(None, description="Operation that failed")
+
+ @classmethod
+ def network_error(
+ cls,
+ error_code: str,
+ message: str,
+ operation: str = "operation",
+ suggestions: Optional[List[str]] = None
+ ) -> "ErrorResponse":
+ """Create a network error response."""
+ return cls(
+ error_type="network",
+ error_message=message,
+ error_code=error_code,
+ operation=operation,
+ suggestions=suggestions or []
+ )
+
+ @classmethod
+ def validation_error(
+ cls,
+ field_name: str,
+ invalid_value: Any,
+ expected_format: str,
+ suggestions: Optional[List[str]] = None
+ ) -> "ErrorResponse":
+ """Create a validation error response."""
+ return cls(
+ error_type="validation",
+ error_message=f"Invalid value for {field_name}: {invalid_value}",
+ details={
+ "field_name": field_name,
+ "invalid_value": str(invalid_value),
+ "expected_format": expected_format
+ },
+ suggestions=suggestions or [f"Provide a valid {expected_format} for {field_name}"]
+ )
+
+ @classmethod
+ def security_error(
+ cls,
+ violation_type: str,
+ attempted_action: str,
+ allowed_scope: str,
+ suggestions: Optional[List[str]] = None
+ ) -> "ErrorResponse":
+ """Create a security error response."""
+ return cls(
+ error_type="security",
+ error_message=f"Security violation: {violation_type}",
+ details={
+ "violation_type": violation_type,
+ "attempted_action": attempted_action,
+ "allowed_scope": allowed_scope
+ },
+ suggestions=suggestions or [f"Ensure your action is within the allowed scope: {allowed_scope}"]
+ )
+
+ @classmethod
+ def configuration_error(
+ cls,
+ config_key: str,
+ config_value: Any,
+ suggestion: str
+ ) -> "ErrorResponse":
+ """Create a configuration error response."""
+ return cls(
+ error_type="configuration",
+ error_message=f"Invalid configuration for {config_key}",
+ details={
+ "config_key": config_key,
+ "config_value": str(config_value)
+ },
+ suggestions=[suggestion]
+ )
+
+ @classmethod
+ def processing_error(
+ cls,
+ processing_stage: str,
+ data_type: str,
+ recovery_suggestion: str,
+ operation: str = "processing"
+ ) -> "ErrorResponse":
+ """Create a processing error response."""
+ return cls(
+ error_type="processing",
+ error_message=f"Processing failed at {processing_stage} for {data_type}",
+ operation=operation,
+ details={
+ "processing_stage": processing_stage,
+ "data_type": data_type
+ },
+ suggestions=[recovery_suggestion]
+ )
diff --git a/deploy/docker/utils.py b/deploy/docker/app/utils.py
similarity index 71%
rename from deploy/docker/utils.py
rename to deploy/docker/app/utils.py
index 2e2a80ac7..99e085ca7 100644
--- a/deploy/docker/utils.py
+++ b/deploy/docker/app/utils.py
@@ -5,7 +5,7 @@
from datetime import datetime
from enum import Enum
from pathlib import Path
-from fastapi import Request
+from fastapi import Request, HTTPException
from typing import Dict, Optional
class TaskStatus(str, Enum):
@@ -21,7 +21,7 @@ class FilterType(str, Enum):
def load_config() -> Dict:
"""Load and return application configuration with environment variable overrides."""
- config_path = Path(__file__).parent / "config.yml"
+ config_path = Path(__file__).parent.parent / "config.yml"
with open(config_path, "r") as config_file:
config = yaml.safe_load(config_file)
@@ -70,7 +70,6 @@ def decode_redis_hash(hash_data: Dict[bytes, bytes]) -> Dict[str, str]:
return {k.decode('utf-8'): v.decode('utf-8') for k, v in hash_data.items()}
-
def get_llm_api_key(config: Dict, provider: Optional[str] = None) -> str:
"""Get the appropriate API key based on the LLM provider.
@@ -124,4 +123,48 @@ def verify_email_domain(email: str) -> bool:
records = dns.resolver.resolve(domain, 'MX')
return True if records else False
except Exception as e:
- return False
\ No newline at end of file
+ return False
+
+def _ensure_within_base_dir(path: str, base_dir: str) -> None:
+ """
+ Ensure path is within base directory using new error handling system.
+
+ Args:
+ path: Path to validate
+ base_dir: Base directory that path must be within
+
+ Raises:
+ HTTPException: If path is outside base directory
+ """
+ from core.error_context import ErrorContext
+
+ base_dir_real = os.path.realpath(os.path.abspath(base_dir))
+ path_real = os.path.realpath(os.path.abspath(path))
+
+ if not os.path.isabs(base_dir_real):
+ error_ctx = ErrorContext.security_error(
+ violation_type="invalid_base_directory",
+ attempted_action=f"Set base directory to: {base_dir}",
+ allowed_scope="absolute directory paths only",
+ message="Security restriction: base directory must be absolute."
+ )
+ raise error_ctx.to_http_exception(400)
+
+ try:
+ common = os.path.commonpath([base_dir_real, path_real])
+ except ValueError:
+ common = ""
+
+ if common != base_dir_real:
+ error_ctx = ErrorContext.security_error(
+ violation_type="path_traversal",
+ attempted_action=f"Access path: {path_real}",
+ allowed_scope=base_dir_real,
+ message=(
+ f"Security restriction: output_path must be within {base_dir_real}. "
+ f"Your path '{path_real}' is outside the allowed directory. "
+ f"Example valid path: {base_dir_real}/myfile.json"
+ )
+ )
+ raise error_ctx.to_http_exception(400)
+
diff --git a/deploy/docker/config.yml b/deploy/docker/config.yml
index c81badc4f..f8ed2b165 100644
--- a/deploy/docker/config.yml
+++ b/deploy/docker/config.yml
@@ -3,7 +3,7 @@ app:
title: "Crawl4AI API"
version: "1.0.0"
host: "0.0.0.0"
- port: 11234
+ port: 11235
reload: False
workers: 1
timeout_keep_alive: 300
@@ -25,10 +25,6 @@ redis:
ssl_ca_certs: None
ssl_certfile: None
ssl_keyfile: None
- ssl_cert_reqs: None
- ssl_ca_certs: None
- ssl_certfile: None
- ssl_keyfile: None
# Rate Limiting Configuration
rate_limiting:
@@ -88,4 +84,9 @@ observability:
enabled: True
endpoint: "/metrics"
health_check:
- endpoint: "/health"
\ No newline at end of file
+ endpoint: "/health"
+
+# Binary output handling (screenshots, PDFs)
+binary:
+ default_mode: "inline" # options: inline, file
+ default_dir: "/tmp/crawl4ai-exports"
diff --git a/deploy/docker/core/__init__.py b/deploy/docker/core/__init__.py
new file mode 100644
index 000000000..b5f62dcfd
--- /dev/null
+++ b/deploy/docker/core/__init__.py
@@ -0,0 +1,2 @@
+# deploy/docker/core/__init__.py
+"""Core services - error handling, results, MCP, and background jobs."""
\ No newline at end of file
diff --git a/deploy/docker/core/error_context.py b/deploy/docker/core/error_context.py
new file mode 100644
index 000000000..bc8658f8f
--- /dev/null
+++ b/deploy/docker/core/error_context.py
@@ -0,0 +1,434 @@
+# deploy/docker/error_context.py
+
+from __future__ import annotations
+
+import logging
+import re
+import uuid
+from contextvars import ContextVar
+from dataclasses import dataclass, field
+from datetime import datetime, UTC
+from typing import Any, Dict, List, Optional
+
+from fastapi import HTTPException
+
+from app.schemas import ErrorResponse
+
+
+_correlation_id: ContextVar[str] = ContextVar("correlation_id", default="")
+
+logger = logging.getLogger(__name__)
+
+
+def get_correlation_id() -> str:
+ """Get current correlation ID from context."""
+ cid = _correlation_id.get()
+ if not cid:
+ cid = str(uuid.uuid4())
+ _correlation_id.set(cid)
+ return cid
+
+
+def set_correlation_id(correlation_id: str) -> None:
+ """Set correlation ID in context."""
+ _correlation_id.set(correlation_id)
+
+
+@dataclass
+class ErrorContext:
+ """
+ Unified error context for structured error handling.
+
+ Replaces multiple protocol implementations with a single, flexible context.
+ """
+
+ error_type: str
+ message: str
+ operation: str = "operation"
+ correlation_id: str = field(default_factory=get_correlation_id)
+ timestamp: datetime = field(default_factory=lambda: datetime.now(UTC))
+
+ error_code: Optional[str] = None
+ field_name: Optional[str] = None
+ invalid_value: Optional[Any] = None
+ expected_format: Optional[str] = None
+ violation_type: Optional[str] = None
+ attempted_action: Optional[str] = None
+ allowed_scope: Optional[str] = None
+ config_key: Optional[str] = None
+ config_value: Optional[Any] = None
+ processing_stage: Optional[str] = None
+ data_type: Optional[str] = None
+
+ suggestions: List[str] = field(default_factory=list)
+ context: Dict[str, Any] = field(default_factory=dict)
+
+ @classmethod
+ def network_error(
+ cls,
+ error_code: str,
+ message: str,
+ operation: str = "operation",
+ suggestions: Optional[List[str]] = None,
+ ) -> ErrorContext:
+ """Create network error context."""
+ return cls(
+ error_type="network",
+ error_code=error_code,
+ message=message,
+ operation=operation,
+ suggestions=suggestions or _get_network_error_suggestions(error_code),
+ )
+
+ @classmethod
+ def validation_error(
+ cls,
+ field_name: str,
+ invalid_value: Any,
+ expected_format: str,
+ suggestions: Optional[List[str]] = None,
+ ) -> ErrorContext:
+ """Create validation error context."""
+ return cls(
+ error_type="validation",
+ field_name=field_name,
+ invalid_value=invalid_value,
+ expected_format=expected_format,
+ message=f"Invalid value for {field_name}",
+ suggestions=suggestions or [
+ f"Provide a valid {expected_format} for {field_name}",
+ "Check the API documentation for valid input formats"
+ ],
+ )
+
+ @classmethod
+ def security_error(
+ cls,
+ violation_type: str,
+ attempted_action: str,
+ allowed_scope: str,
+ message: Optional[str] = None,
+ suggestions: Optional[List[str]] = None,
+ ) -> ErrorContext:
+ """Create security error context."""
+ return cls(
+ error_type="security",
+ violation_type=violation_type,
+ attempted_action=attempted_action,
+ allowed_scope=allowed_scope,
+ message=message or f"Security violation: {violation_type}",
+ suggestions=suggestions or [
+ f"Ensure your action is within the allowed scope: {allowed_scope}",
+ "Check the security restrictions in the API documentation"
+ ],
+ )
+
+ @classmethod
+ def configuration_error(
+ cls,
+ config_key: str,
+ config_value: Any,
+ suggestion: str,
+ message: Optional[str] = None,
+ ) -> ErrorContext:
+ """Create configuration error context."""
+ return cls(
+ error_type="configuration",
+ config_key=config_key,
+ config_value=config_value,
+ message=message or f"Invalid configuration for {config_key}",
+ suggestions=[suggestion],
+ )
+
+ @classmethod
+ def processing_error(
+ cls,
+ processing_stage: str,
+ data_type: str,
+ recovery_suggestion: str,
+ operation: str = "operation",
+ message: Optional[str] = None,
+ ) -> ErrorContext:
+ """Create processing error context."""
+ return cls(
+ error_type="processing",
+ processing_stage=processing_stage,
+ data_type=data_type,
+ message=message or f"Processing failed at {processing_stage}",
+ operation=operation,
+ suggestions=[recovery_suggestion],
+ )
+
+ @classmethod
+ def from_exception(cls, error: Exception, operation: str = "operation") -> ErrorContext:
+ """
+ Create error context from any exception.
+
+ This method replaces the old handle_error singledispatch approach.
+ """
+ correlation_id = get_correlation_id()
+
+ if isinstance(error, HTTPException):
+ return cls._from_http_exception(error, operation, correlation_id)
+
+ if isinstance(error, ValueError):
+ return cls._from_value_error(error, operation, correlation_id)
+
+ if isinstance(error, TypeError):
+ return cls._from_type_error(error, operation, correlation_id)
+
+ return cls(
+ error_type="unknown",
+ message=f"{operation} failed: {str(error)}",
+ operation=operation,
+ correlation_id=correlation_id,
+ suggestions=["Please check your input and try again"],
+ )
+
+ @classmethod
+ def _from_http_exception(cls, error: HTTPException, operation: str, correlation_id: str) -> ErrorContext:
+ """Handle FastAPI HTTP exceptions."""
+ status_map = {
+ 400: ("validation", "Check your request parameters and format"),
+ 404: ("not_found", "Check that the requested resource exists"),
+ 413: ("size_limit", "Use output_path parameter to save large results to file"),
+ 500: ("server_error", "Try again later"),
+ }
+
+ error_type, suggestion = status_map.get(error.status_code, ("http_error", "Check your request"))
+
+ suggestions = [suggestion]
+ if error.status_code == 413:
+ suggestions.append("Reduce the size of your request")
+ elif error.status_code == 500:
+ suggestions.append("Contact support if the issue persists")
+
+ return cls(
+ error_type=error_type,
+ error_code=f"HTTP_{error.status_code}",
+ message=str(error.detail),
+ operation=operation,
+ correlation_id=correlation_id,
+ suggestions=suggestions,
+ )
+
+ @classmethod
+ def _from_value_error(cls, error: ValueError, operation: str, correlation_id: str) -> ErrorContext:
+ """Handle value errors."""
+ error_msg = str(error)
+
+ if any(keyword in error_msg.lower() for keyword in ["config", "browser", "crawler"]):
+ return cls(
+ error_type="configuration",
+ config_key="unknown",
+ config_value=error_msg,
+ message=error_msg,
+ operation=operation,
+ correlation_id=correlation_id,
+ suggestions=["Check your configuration syntax and allowed values"],
+ )
+
+ return cls(
+ error_type="validation",
+ field_name="input",
+ invalid_value=error_msg,
+ expected_format="valid input format",
+ message=error_msg,
+ operation=operation,
+ correlation_id=correlation_id,
+ suggestions=["Check your input values and formats"],
+ )
+
+ @classmethod
+ def _from_type_error(cls, error: TypeError, operation: str, correlation_id: str) -> ErrorContext:
+ """Handle type errors."""
+ return cls(
+ error_type="validation",
+ field_name="parameter_type",
+ invalid_value=str(error),
+ expected_format="correct parameter type",
+ message=str(error),
+ operation=operation,
+ correlation_id=correlation_id,
+ suggestions=[
+ "Check that all parameters are the correct type",
+ "Refer to the API documentation for parameter types"
+ ],
+ )
+
+ def to_error_response(self) -> ErrorResponse:
+ """Convert to ErrorResponse schema."""
+ kwargs = {
+ "error_type": self.error_type,
+ "error_message": self.message,
+ "operation": self.operation,
+ "suggestions": self.suggestions or None,
+ }
+
+ if self.error_code:
+ kwargs["error_code"] = self.error_code
+
+ if self.field_name:
+ kwargs["field_name"] = self.field_name
+ if self.invalid_value is not None:
+ kwargs["invalid_value"] = self.invalid_value
+ if self.expected_format:
+ kwargs["expected_format"] = self.expected_format
+
+ if self.violation_type:
+ kwargs["violation_type"] = self.violation_type
+ if self.attempted_action:
+ kwargs["attempted_action"] = self.attempted_action
+ if self.allowed_scope:
+ kwargs["allowed_scope"] = self.allowed_scope
+
+ if self.config_key:
+ kwargs["config_key"] = self.config_key
+ if self.config_value is not None:
+ kwargs["config_value"] = self.config_value
+
+ if self.processing_stage:
+ kwargs["processing_stage"] = self.processing_stage
+ if self.data_type:
+ kwargs["data_type"] = self.data_type
+
+ return ErrorResponse(**kwargs)
+
+ def to_http_exception(self, status_code: int = 500) -> HTTPException:
+ """Convert to HTTPException for FastAPI."""
+ logger.error(
+ "Error occurred [%s]: %s",
+ self.correlation_id,
+ self.message,
+ extra={
+ "correlation_id": self.correlation_id,
+ "error_type": self.error_type,
+ "operation": self.operation,
+ "context": self.context,
+ },
+ )
+
+ return HTTPException(
+ status_code=status_code,
+ detail=self.to_error_response().model_dump()
+ )
+
+ def log(self, level: int = logging.ERROR) -> None:
+ """Log error with structured context."""
+ logger.log(
+ level,
+ "Error [%s]: %s",
+ self.correlation_id,
+ self.message,
+ extra={
+ "correlation_id": self.correlation_id,
+ "error_type": self.error_type,
+ "error_code": self.error_code,
+ "operation": self.operation,
+ "field_name": self.field_name,
+ "violation_type": self.violation_type,
+ "config_key": self.config_key,
+ "processing_stage": self.processing_stage,
+ "context": self.context,
+ "timestamp": self.timestamp.isoformat(),
+ },
+ )
+
+
+def parse_network_error(error_msg: str, operation: str = "operation") -> ErrorContext:
+ """
+ Parse a raw error message and create network error context.
+
+ This replaces the old parse_network_error function.
+ """
+ error_code = "UNKNOWN"
+ friendly_message = error_msg
+
+ if "ERR_NAME_NOT_RESOLVED" in error_msg:
+ error_code = "ERR_NAME_NOT_RESOLVED"
+ friendly_message = f"{operation} failed: Unable to resolve hostname. Please check the URL is valid and accessible."
+ elif "ERR_CONNECTION_REFUSED" in error_msg:
+ error_code = "ERR_CONNECTION_REFUSED"
+ friendly_message = f"{operation} failed: Connection refused. The server may be down or unreachable."
+ elif "ERR_CONNECTION_TIMED_OUT" in error_msg or "Timeout" in error_msg:
+ error_code = "ERR_CONNECTION_TIMED_OUT"
+ friendly_message = f"{operation} failed: Connection timed out. The server took too long to respond."
+ elif "ERR_CONNECTION_CLOSED" in error_msg:
+ error_code = "ERR_CONNECTION_CLOSED"
+ friendly_message = f"{operation} failed: Connection closed unexpectedly. The server may have terminated the connection."
+ elif "ERR_SSL_PROTOCOL_ERROR" in error_msg or "SSL" in error_msg:
+ error_code = "ERR_SSL_PROTOCOL_ERROR"
+ friendly_message = f"{operation} failed: SSL/TLS error. The server's certificate may be invalid or expired."
+ elif "ERR_CERT" in error_msg:
+ error_code = "ERR_CERT"
+ friendly_message = f"{operation} failed: Certificate error. The server's SSL certificate is invalid."
+ elif "ERR_TOO_MANY_REDIRECTS" in error_msg:
+ error_code = "ERR_TOO_MANY_REDIRECTS"
+ friendly_message = f"{operation} failed: Too many redirects. The URL may be misconfigured."
+ elif "net::" in error_msg:
+ match = re.search(r'net::(ERR_[A-Z_]+)', error_msg)
+ if match:
+ error_code = match.group(1)
+ friendly_message = f"{operation} failed: Network error ({error_code}). Please check the URL and network connectivity."
+
+ return ErrorContext.network_error(error_code, friendly_message, operation)
+
+
+def parse_security_error(error_msg: str, attempted_path: str = "", allowed_dir: str = "") -> ErrorContext:
+ """Parse security-related errors, particularly path validation errors."""
+ if "must be within" in error_msg and "outside the allowed directory" in error_msg:
+ return ErrorContext.security_error(
+ violation_type="path_traversal",
+ attempted_action=f"Access path: {attempted_path}",
+ allowed_scope=allowed_dir,
+ message=error_msg,
+ )
+
+ return ErrorContext.security_error(
+ violation_type="access_denied",
+ attempted_action="unknown action",
+ allowed_scope="allowed operations only",
+ message=error_msg,
+ )
+
+
+def _get_network_error_suggestions(error_code: str) -> List[str]:
+ """Get specific suggestions based on network error code."""
+ suggestions_map = {
+ "ERR_NAME_NOT_RESOLVED": [
+ "Check that the URL is spelled correctly",
+ "Verify the domain exists and is accessible",
+ "Check your internet connection"
+ ],
+ "ERR_CONNECTION_REFUSED": [
+ "Verify the server is running and accessible",
+ "Check if the port number is correct",
+ "Ensure the service is not blocked by firewall"
+ ],
+ "ERR_CONNECTION_TIMED_OUT": [
+ "Try again later as the server may be temporarily overloaded",
+ "Check your internet connection stability",
+ "Verify the server is responding"
+ ],
+ "ERR_SSL_PROTOCOL_ERROR": [
+ "Check if the website has a valid SSL certificate",
+ "Try using http:// instead of https:// if appropriate",
+ "Contact the website administrator about certificate issues"
+ ],
+ "ERR_CERT": [
+ "The website's SSL certificate may be expired or invalid",
+ "Try accessing the site in a web browser to see certificate details",
+ "Contact the website administrator"
+ ],
+ "ERR_TOO_MANY_REDIRECTS": [
+ "Check if the URL is correct and not causing a redirect loop",
+ "Try accessing the final destination URL directly",
+ "Contact the website administrator about the redirect configuration"
+ ]
+ }
+
+ return suggestions_map.get(error_code, [
+ "Check the URL and network connectivity",
+ "Try again later",
+ "Contact support if the issue persists"
+ ])
\ No newline at end of file
diff --git a/deploy/docker/job.py b/deploy/docker/core/job.py
similarity index 93%
rename from deploy/docker/job.py
rename to deploy/docker/core/job.py
index 10d83fdd0..3a64a7b81 100644
--- a/deploy/docker/job.py
+++ b/deploy/docker/core/job.py
@@ -5,9 +5,9 @@
from typing import Dict, Optional, Callable
from fastapi import APIRouter, BackgroundTasks, Depends, Request
-from pydantic import BaseModel, HttpUrl
+from pydantic import BaseModel, Field, HttpUrl
-from api import (
+from app.api import (
handle_llm_request,
handle_crawl_job,
handle_task_status,
@@ -32,8 +32,10 @@ def init_job_router(redis, config, token_dep) -> APIRouter:
# ---------- payload models --------------------------------------------------
class LlmJobPayload(BaseModel):
+ model_config = {"populate_by_name": True}
+
url: HttpUrl
- q: str
+ query: str = Field(..., alias="q")
schema: Optional[str] = None
cache: bool = False
provider: Optional[str] = None
@@ -58,7 +60,7 @@ async def llm_job_enqueue(
background_tasks,
request,
str(payload.url),
- query=payload.q,
+ query=payload.query,
schema=payload.schema,
cache=payload.cache,
config=_config,
diff --git a/deploy/docker/core/mcp_service.py b/deploy/docker/core/mcp_service.py
new file mode 100644
index 000000000..101b91fd3
--- /dev/null
+++ b/deploy/docker/core/mcp_service.py
@@ -0,0 +1,511 @@
+# deploy/docker/mcp_service.py
+
+from __future__ import annotations
+
+import inspect
+import json
+import logging
+import re
+import urllib.parse
+from enum import Enum
+from typing import Any, Callable, Dict, List, Optional, get_args, get_origin
+
+import httpx
+from fastapi import HTTPException
+from fastapi.params import Param
+from fastapi.routing import APIRoute
+from fastmcp import FastMCP
+from pydantic import BaseModel
+
+
+logger = logging.getLogger(__name__)
+
+
+class MCPToolDefinition:
+ """
+ Represents an MCP tool definition extracted from OpenAPI/FastAPI routes.
+
+ This replaces runtime route introspection with a more structured approach.
+ """
+
+ def __init__(
+ self,
+ name: str,
+ description: str,
+ endpoint_path: str,
+ http_method: str,
+ parameters: List[inspect.Parameter],
+ pydantic_model: Optional[type[BaseModel]] = None,
+ pydantic_param_name: Optional[str] = None,
+ ):
+ self.name = name
+ self.description = description
+ self.endpoint_path = endpoint_path
+ self.http_method = http_method
+ self.parameters = parameters
+ self.pydantic_model = pydantic_model
+ self.pydantic_param_name = pydantic_param_name
+
+
+class MCPService:
+ """
+ Dedicated service layer for MCP integration.
+
+ Decouples MCP logic from FastAPI route introspection and provides:
+ - Clean separation of concerns
+ - Dependency injection for route discovery
+ - OpenAPI-based tool registration
+ - Centralized proxy creation
+ """
+ def get_mcp_schema(self, openapi_schema: dict, routes: list) -> dict:
+ """
+ Generate the MCP tool schema from the FastAPI app's OpenAPI schema and routes.
+ """
+ mcp_schema = {
+ "tools": [],
+ "resources": [],
+ "prompts": []
+ }
+
+ # Helper to resolve $ref links in the OpenAPI schema
+ def resolve_ref(ref):
+ parts = ref.strip("#/").split("/")
+ d = openapi_schema
+ for part in parts:
+ d = d[part]
+ return d
+
+ # Iterate through the app's routes to find functions marked as tools
+ for route in routes:
+ if not isinstance(route, APIRoute) or not hasattr(route.endpoint, "__mcp_kind__") or getattr(route.endpoint, "__mcp_kind__") != "tool":
+ continue
+
+ path = route.path
+ if not route.methods:
+ continue
+ method = next(iter(route.methods)).lower()
+
+ if path not in openapi_schema.get("paths", {}) or method not in openapi_schema["paths"].get(path, {}):
+ continue
+
+ operation = openapi_schema["paths"][path][method]
+
+ tool_name = getattr(route.endpoint, "__mcp_name__", None) or operation.get("summary") or route.name
+
+ input_schema = {"type": "object", "properties": {}}
+
+ if "requestBody" in operation:
+ request_body = operation.get("requestBody", {})
+ if "content" in request_body and "$ref" in request_body.get("content", {}).get("application/json", {}).get("schema", {}):
+ schema_ref = request_body["content"]["application/json"]["schema"]["$ref"]
+ input_schema = resolve_ref(schema_ref)
+ elif "content" in request_body:
+ input_schema = request_body["content"].get("application/json", {}).get("schema", {})
+
+ if "parameters" in operation:
+ if "properties" not in input_schema:
+ input_schema["properties"] = {}
+
+ properties = input_schema["properties"]
+ for param in operation["parameters"]:
+ if "$ref" in param:
+ param = resolve_ref(param["$ref"])
+
+ if param.get("in") not in ["query", "path"]:
+ continue
+
+ param_name = param["name"]
+ param_schema = param.get("schema", {})
+
+ if "description" in param:
+ param_schema["description"] = param["description"]
+
+ properties[param_name] = param_schema
+
+ tool_schema = {
+ "name": tool_name,
+ "description": operation.get("description", "") or inspect.getdoc(route.endpoint) or "",
+ "inputSchema": input_schema
+ }
+
+ mcp_schema["tools"].append(tool_schema)
+
+ return mcp_schema
+
+ def __init__(self, base_url: str, server_name: str = "FastAPI-MCP"):
+ self.base_url = base_url
+ self.server_name = server_name
+ self.mcp_server = FastMCP(name=server_name)
+ self._registered_tools: Dict[str, MCPToolDefinition] = {}
+
+ def extract_tools_from_routes(self, routes: List[APIRoute]) -> List[MCPToolDefinition]:
+ """
+ Extract MCP tool definitions from FastAPI routes.
+
+ Uses route metadata rather than deep introspection.
+ """
+ tools = []
+
+ for route in routes:
+ fn = getattr(route, "endpoint", None)
+ if not fn:
+ continue
+
+ kind = getattr(fn, "__mcp_kind__", None)
+ if kind != "tool":
+ continue
+
+ try:
+ tool_def = self._create_tool_definition(route, fn)
+ tools.append(tool_def)
+ except ValueError as e:
+ logger.warning("Skipping tool %s: %s", route.path, e)
+ except Exception:
+ logger.exception("Error extracting tool from %s", route.path)
+
+ return tools
+
+ def _create_tool_definition(self, route: APIRoute, fn: Callable) -> MCPToolDefinition:
+ """Create tool definition from route and endpoint function."""
+ raw_name = getattr(fn, "__mcp_name__", None) or route.path
+ tool_name = self._sanitize_tool_name(raw_name)
+ description = inspect.getdoc(fn) or f"Tool for {route.path}"
+
+ methods = route.methods - {"HEAD", "OPTIONS"}
+ http_method = next(iter(methods)) if methods else "GET"
+
+ sig = inspect.signature(fn)
+ usable_params: Dict[str, inspect.Parameter] = {}
+ pydantic_model: Optional[type[BaseModel]] = None
+ pydantic_param_name: Optional[str] = None
+
+ for name, param in sig.parameters.items():
+ if param.kind in {inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD}:
+ continue
+
+ annotation = param.annotation
+ if annotation is inspect.Parameter.empty or annotation is type(None):
+ continue
+
+ if getattr(annotation, "__name__", "") == "Request":
+ continue
+
+ if "Depends" in str(annotation) or "Depends" in str(param.default):
+ continue
+
+ usable_params[name] = param
+
+ if (
+ pydantic_model is None
+ and inspect.isclass(annotation)
+ and issubclass(annotation, BaseModel)
+ ):
+ pydantic_model = annotation
+ pydantic_param_name = name
+
+ if not usable_params:
+ raise ValueError("No MCP-exposable parameters found")
+
+ parameters = list(usable_params.values())
+
+ return MCPToolDefinition(
+ name=tool_name,
+ description=description,
+ endpoint_path=route.path,
+ http_method=http_method,
+ parameters=parameters,
+ pydantic_model=pydantic_model,
+ pydantic_param_name=pydantic_param_name,
+ )
+
+ def register_tools(self, tools: List[MCPToolDefinition]) -> None:
+ """Register extracted tools with the MCP server."""
+ for tool_def in tools:
+ try:
+ self._register_single_tool(tool_def)
+ self._registered_tools[tool_def.name] = tool_def
+ except Exception:
+ logger.exception("Failed to register tool %s", tool_def.name)
+
+ logger.info("Registered %d MCP tools", len(self._registered_tools))
+
+ def _register_single_tool(self, tool_def: MCPToolDefinition) -> None:
+ """Register a single tool with the MCP server."""
+ proxy_fn = self._create_http_proxy(tool_def)
+
+ if tool_def.pydantic_model and tool_def.pydantic_param_name:
+ wrapper_fn = self._build_pydantic_wrapper(tool_def, proxy_fn)
+ else:
+ wrapper_fn = self._build_parameter_wrapper(tool_def, proxy_fn)
+
+ self.mcp_server.tool(name=tool_def.name, description=tool_def.description)(wrapper_fn)
+
+ def _create_http_proxy(self, tool_def: MCPToolDefinition) -> Callable:
+ """
+ Create HTTP proxy function for a tool.
+
+ Uses tool definition instead of inspecting route directly.
+ """
+ async def proxy(**kwargs):
+ path = tool_def.endpoint_path
+ json_body = {}
+
+ if "_pydantic_body" in kwargs:
+ kwargs.pop("_param_name", None)
+ pydantic_data = kwargs.pop("_pydantic_body")
+ json_body = pydantic_data
+ else:
+ for k, v in list(kwargs.items()):
+ typed_match = re.search(r"\{" + re.escape(k) + r":([^}]*)\}", path)
+ safe_chars = "/" if typed_match and typed_match.group(1) == "path" else ""
+ encoded_value = urllib.parse.quote(str(v), safe=safe_chars)
+ pattern = re.compile(r"\{" + re.escape(k) + r"(?:\:[^}]*)?\}")
+
+ if pattern.search(path):
+ path = pattern.sub(encoded_value, path)
+ kwargs.pop(k)
+ elif hasattr(v, "model_dump"):
+ json_body[k] = v.model_dump()
+ kwargs.pop(k)
+
+ if kwargs:
+ json_body.update(kwargs)
+
+ url = self.base_url.rstrip("/") + path
+
+ async with httpx.AsyncClient(timeout=60.0) as client:
+ try:
+ r = (
+ await client.get(url, params=json_body)
+ if tool_def.http_method == "GET"
+ else await client.request(tool_def.http_method, url, json=json_body)
+ )
+ r.raise_for_status()
+
+ try:
+ return r.json()
+ except (ValueError, TypeError):
+ return r.text
+
+ except httpx.HTTPStatusError as e:
+ raise HTTPException(e.response.status_code, e.response.text) from e
+
+ return proxy
+
+ def _build_pydantic_wrapper(
+ self, tool_def: MCPToolDefinition, proxy_fn: Callable
+ ) -> Callable:
+ """Build wrapper for Pydantic model parameters."""
+ model = tool_def.pydantic_model
+ param_name = tool_def.pydantic_param_name
+
+ field_annotations: Dict[str, object] = {}
+ parameters: List[inspect.Parameter] = []
+ list_fields: set[str] = set()
+ numeric_int_fields: set[str] = set()
+ numeric_float_fields: set[str] = set()
+
+ for field_name, field_info in model.model_fields.items():
+ annotation = self._normalize_annotation(field_info.annotation)
+
+ if self._annotation_is_list(field_info.annotation):
+ list_fields.add(field_name)
+ if self._annotation_has_numeric(field_info.annotation, int):
+ numeric_int_fields.add(field_name)
+ if self._annotation_has_numeric(field_info.annotation, float):
+ numeric_float_fields.add(field_name)
+
+ field_annotations[field_name] = annotation
+
+ # Check if field is required (is_required is a method in Pydantic v2)
+ is_required = field_info.is_required() if callable(field_info.is_required) else field_info.is_required
+
+ if is_required:
+ default = inspect._empty
+ else:
+ if field_info.default_factory is not None:
+ default = field_info.default_factory()
+ else:
+ default = field_info.default
+
+ parameters.append(
+ inspect.Parameter(
+ name=field_name,
+ kind=inspect.Parameter.KEYWORD_ONLY,
+ default=default,
+ annotation=annotation,
+ )
+ )
+
+ async def wrapper(**kwargs):
+ model_data: Dict[str, object] = {}
+
+ for key in field_annotations:
+ if key not in kwargs:
+ continue
+ value = kwargs[key]
+ if value == "" or value is None:
+ continue
+
+ if key in list_fields and isinstance(value, str):
+ value = [value]
+ if key in numeric_int_fields and isinstance(value, str):
+ try:
+ value = int(value.strip())
+ except (TypeError, ValueError):
+ pass
+ if key in numeric_float_fields and isinstance(value, str):
+ try:
+ value = float(value.strip())
+ except (TypeError, ValueError):
+ pass
+
+ model_data[key] = value
+
+ result = await proxy_fn(_pydantic_body=model_data, _param_name=param_name)
+ return json.dumps(result, default=str)
+
+ wrapper.__name__ = f"{tool_def.name}_wrapper"
+ wrapper.__annotations__ = {**field_annotations, "return": str}
+ wrapper.__signature__ = inspect.Signature(parameters, return_annotation=str)
+
+ return wrapper
+
+ def _build_parameter_wrapper(
+ self, tool_def: MCPToolDefinition, proxy_fn: Callable
+ ) -> Callable:
+ """Build wrapper for regular parameters."""
+ param_annotations: Dict[str, object] = {}
+ numeric_int_fields: set[str] = set()
+ numeric_float_fields: set[str] = set()
+ list_fields: set[str] = set()
+ parameters: List[inspect.Parameter] = []
+
+ params = {p.name: p for p in tool_def.parameters}
+
+ for name, param in params.items():
+ annotation = self._normalize_annotation(param.annotation)
+ param_annotations[name] = annotation
+
+ if self._annotation_has_numeric(param.annotation, int):
+ numeric_int_fields.add(name)
+ if self._annotation_has_numeric(param.annotation, float):
+ numeric_float_fields.add(name)
+ if self._annotation_is_list(param.annotation):
+ list_fields.add(name)
+
+ if param.default is inspect.Parameter.empty:
+ default = inspect._empty
+ else:
+ default_candidate = param.default
+ if isinstance(default_candidate, Param):
+ default = (
+ default_candidate.default
+ if default_candidate.default is not inspect._empty
+ else inspect._empty
+ )
+ else:
+ default = default_candidate
+
+ parameters.append(
+ inspect.Parameter(
+ name=name,
+ kind=inspect.Parameter.KEYWORD_ONLY,
+ default=default,
+ annotation=annotation,
+ )
+ )
+
+ async def wrapper(**kwargs):
+ prepared: Dict[str, object] = {}
+
+ for key in param_annotations:
+ if key not in kwargs:
+ continue
+ value = kwargs[key]
+ if value == "" or value is None:
+ continue
+
+ if key in numeric_int_fields and isinstance(value, str):
+ try:
+ value = int(value.strip())
+ except (TypeError, ValueError):
+ pass
+ if key in numeric_float_fields and isinstance(value, str):
+ try:
+ value = float(value.strip())
+ except (TypeError, ValueError):
+ pass
+ if key in list_fields and isinstance(value, str):
+ value = [value]
+
+ prepared[key] = value
+
+ result = await proxy_fn(**prepared)
+ return json.dumps(result, default=str)
+
+ wrapper.__name__ = f"{tool_def.name}_wrapper"
+ wrapper.__annotations__ = {**param_annotations, "return": str}
+ wrapper.__signature__ = inspect.Signature(parameters, return_annotation=str)
+
+ return wrapper
+
+ @staticmethod
+ def _sanitize_tool_name(raw_name: str) -> str:
+ """Sanitize tool name for MCP compatibility."""
+ sanitized = re.sub(r"[^0-9a-zA-Z_]", "_", raw_name).strip("_")
+ if not sanitized or not re.match(r"[A-Za-z_]", sanitized):
+ sanitized = f"tool_{sanitized}" if sanitized else "tool"
+ return sanitized
+
+ @staticmethod
+ def _normalize_annotation(annotation: object) -> object:
+ """Normalize annotation but preserve typing information."""
+ if inspect.isclass(annotation) and issubclass(annotation, Enum):
+ for base in annotation.__mro__[1:]:
+ if base in {str, int, float, bool}:
+ return base
+ return annotation
+
+ @staticmethod
+ def _annotation_is_list(annotation: object) -> bool:
+ """Check if annotation is a list type."""
+ origin = get_origin(annotation)
+ return origin in (list, List)
+
+ @staticmethod
+ def _annotation_has_numeric(annotation: object, target: type) -> bool:
+ """Check if annotation contains numeric type."""
+ if annotation is target:
+ return True
+ origin = get_origin(annotation)
+ if not origin:
+ return False
+ return any(
+ MCPService._annotation_has_numeric(arg, target)
+ for arg in get_args(annotation)
+ )
+
+
+def mcp_resource(name: str | None = None):
+ """Decorator to mark FastAPI route as MCP resource."""
+ def deco(fn):
+ fn.__mcp_kind__, fn.__mcp_name__ = "resource", name
+ return fn
+ return deco
+
+
+def mcp_template(name: str | None = None):
+ """Decorator to mark FastAPI route as MCP template."""
+ def deco(fn):
+ fn.__mcp_kind__, fn.__mcp_name__ = "template", name
+ return fn
+ return deco
+
+
+def mcp_tool(name: str | None = None):
+ """Decorator to mark FastAPI route as MCP tool."""
+ def deco(fn):
+ fn.__mcp_kind__, fn.__mcp_name__ = "tool", name
+ return fn
+ return deco
\ No newline at end of file
diff --git a/deploy/docker/core/result_handler.py b/deploy/docker/core/result_handler.py
new file mode 100644
index 000000000..5d70c2762
--- /dev/null
+++ b/deploy/docker/core/result_handler.py
@@ -0,0 +1,169 @@
+# deploy/docker/result_handler.py
+
+from __future__ import annotations
+
+import json
+import os
+import pathlib
+from base64 import b64encode
+from datetime import datetime, date
+from typing import Any, List, Dict, Union, AsyncGenerator
+
+
+class ResultHandler:
+ """
+ Unified result normalization handler.
+
+ Replaces result_protocols.py and result_normalizer.py with a single,
+ clean implementation that handles all result types without protocol complexity.
+ """
+
+ @staticmethod
+ def normalize_value(val: Any) -> Any:
+ """
+ Normalize a single value for JSON serialization.
+
+ Handles datetime, Path, bytes, and nested collections.
+ """
+ if val is None:
+ return None
+
+ if isinstance(val, (datetime, date)):
+ return val.isoformat()
+
+ if isinstance(val, (os.PathLike, pathlib.Path)):
+ return os.fspath(val)
+
+ if isinstance(val, bytes):
+ return b64encode(val).decode('utf-8')
+
+ if isinstance(val, dict):
+ return {k: ResultHandler.normalize_value(v) for k, v in val.items()}
+
+ if isinstance(val, (list, tuple, set)):
+ return [ResultHandler.normalize_value(v) for v in val]
+
+ return val
+
+ @staticmethod
+ def normalize_single_result(result: Any) -> Dict[str, Any]:
+ """
+ Normalize a single result object to a dictionary.
+
+ Args:
+ result: Single result object (Pydantic model, dict, or object with attributes)
+
+ Returns:
+ Dictionary representation ready for JSON serialization
+ """
+ # Handle Pydantic models
+ if hasattr(result, "model_dump"):
+ result_dict = result.model_dump()
+ # Handle plain dicts
+ elif isinstance(result, dict):
+ result_dict = result.copy()
+ result_dict.setdefault("success", False)
+ # Handle objects with attributes
+ else:
+ result_dict = {
+ "url": getattr(result, "url", ""),
+ "success": getattr(result, "success", False),
+ "error_message": getattr(result, "error_message", "Unknown error"),
+ }
+
+ # Normalize all values
+ cleaned_dict = {}
+ for key, value in result_dict.items():
+ normalized = ResultHandler.normalize_value(value)
+
+ # Test JSON serializability
+ try:
+ json.dumps(normalized)
+ cleaned_dict[key] = normalized
+ except (TypeError, ValueError):
+ # Skip non-serializable values
+ pass
+
+ return cleaned_dict
+
+ @staticmethod
+ def normalize_results(results: Any) -> List[Dict[str, Any]]:
+ """
+ Normalize any result type to a list of dictionaries.
+
+ Handles:
+ - None → []
+ - Single result → [result]
+ - List/tuple → [result1, result2, ...]
+ - Objects with .results attribute → [result1, result2, ...]
+ - Iterables → [result1, result2, ...]
+
+ Args:
+ results: Any type of results
+
+ Returns:
+ List of normalized result dictionaries
+ """
+ # Handle None
+ if results is None:
+ return []
+
+ # Handle objects with .results attribute (containers)
+ if hasattr(results, 'results'):
+ try:
+ return [
+ ResultHandler.normalize_single_result(r)
+ for r in results.results
+ ]
+ except (TypeError, AttributeError):
+ pass
+
+ # Handle lists and tuples directly
+ if isinstance(results, (list, tuple)):
+ return [ResultHandler.normalize_single_result(r) for r in results]
+
+ # Handle other iterables (but not strings/bytes/dicts)
+ if hasattr(results, '__iter__') and not isinstance(results, (str, bytes, dict)):
+ try:
+ return [ResultHandler.normalize_single_result(r) for r in results]
+ except (TypeError, ValueError):
+ pass
+
+ # Handle single result
+ return [ResultHandler.normalize_single_result(results)]
+
+ @staticmethod
+ async def collect_async_results(
+ async_gen: AsyncGenerator[Any, None]
+ ) -> List[Dict[str, Any]]:
+ """
+ Collect and normalize results from async generator.
+
+ Args:
+ async_gen: Async generator yielding results
+
+ Returns:
+ List of normalized result dictionaries
+ """
+ results = []
+ async for result in async_gen:
+ normalized = ResultHandler.normalize_single_result(result)
+ results.append(normalized)
+ return results
+
+ @staticmethod
+ def is_json_serializable(obj: Any) -> bool:
+ """
+ Test if an object is JSON serializable.
+
+ Args:
+ obj: Object to test
+
+ Returns:
+ True if serializable, False otherwise
+ """
+ try:
+ json.dumps(obj)
+ return True
+ except (TypeError, ValueError):
+ return False
\ No newline at end of file
diff --git a/deploy/docker/mcp_bridge.py b/deploy/docker/mcp_bridge.py
deleted file mode 100644
index c55ed14ce..000000000
--- a/deploy/docker/mcp_bridge.py
+++ /dev/null
@@ -1,252 +0,0 @@
-# deploy/docker/mcp_bridge.py
-
-from __future__ import annotations
-import inspect, json, re, anyio
-from contextlib import suppress
-from typing import Any, Callable, Dict, List, Tuple
-import httpx
-
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect, HTTPException
-from fastapi.responses import JSONResponse
-from fastapi import Request
-from sse_starlette.sse import EventSourceResponse
-from pydantic import BaseModel
-from mcp.server.sse import SseServerTransport
-
-import mcp.types as t
-from mcp.server.lowlevel.server import Server, NotificationOptions
-from mcp.server.models import InitializationOptions
-
-# ── opt‑in decorators ───────────────────────────────────────────
-def mcp_resource(name: str | None = None):
- def deco(fn):
- fn.__mcp_kind__, fn.__mcp_name__ = "resource", name
- return fn
- return deco
-
-def mcp_template(name: str | None = None):
- def deco(fn):
- fn.__mcp_kind__, fn.__mcp_name__ = "template", name
- return fn
- return deco
-
-def mcp_tool(name: str | None = None):
- def deco(fn):
- fn.__mcp_kind__, fn.__mcp_name__ = "tool", name
- return fn
- return deco
-
-# ── HTTP‑proxy helper for FastAPI endpoints ─────────────────────
-def _make_http_proxy(base_url: str, route):
- method = list(route.methods - {"HEAD", "OPTIONS"})[0]
- async def proxy(**kwargs):
- # replace `/items/{id}` style params first
- path = route.path
- for k, v in list(kwargs.items()):
- placeholder = "{" + k + "}"
- if placeholder in path:
- path = path.replace(placeholder, str(v))
- kwargs.pop(k)
- url = base_url.rstrip("/") + path
-
- async with httpx.AsyncClient() as client:
- try:
- r = (
- await client.get(url, params=kwargs)
- if method == "GET"
- else await client.request(method, url, json=kwargs)
- )
- r.raise_for_status()
- return r.text if method == "GET" else r.json()
- except httpx.HTTPStatusError as e:
- # surface FastAPI error details instead of plain 500
- raise HTTPException(e.response.status_code, e.response.text)
- return proxy
-
-# ── main entry point ────────────────────────────────────────────
-def attach_mcp(
- app: FastAPI,
- *, # keyword‑only
- base: str = "/mcp",
- name: str | None = None,
- base_url: str, # eg. "http://127.0.0.1:8020"
-) -> None:
- """Call once after all routes are declared to expose WS+SSE MCP endpoints."""
- server_name = name or app.title or "FastAPI-MCP"
- mcp = Server(server_name)
-
- # tools: Dict[str, Callable] = {}
- tools: Dict[str, Tuple[Callable, Callable]] = {}
- resources: Dict[str, Callable] = {}
- templates: Dict[str, Callable] = {}
-
- # register decorated FastAPI routes
- for route in app.routes:
- fn = getattr(route, "endpoint", None)
- kind = getattr(fn, "__mcp_kind__", None)
- if not kind:
- continue
-
- key = fn.__mcp_name__ or re.sub(r"[/{}}]", "_", route.path).strip("_")
-
- # if kind == "tool":
- # tools[key] = _make_http_proxy(base_url, route)
- if kind == "tool":
- proxy = _make_http_proxy(base_url, route)
- tools[key] = (proxy, fn)
- continue
- if kind == "resource":
- resources[key] = fn
- if kind == "template":
- templates[key] = fn
-
- # helpers for JSON‑Schema
- def _schema(model: type[BaseModel] | None) -> dict:
- return {"type": "object"} if model is None else model.model_json_schema()
-
- def _body_model(fn: Callable) -> type[BaseModel] | None:
- for p in inspect.signature(fn).parameters.values():
- a = p.annotation
- if inspect.isclass(a) and issubclass(a, BaseModel):
- return a
- return None
-
- # MCP handlers
- @mcp.list_tools()
- async def _list_tools() -> List[t.Tool]:
- out = []
- for k, (proxy, orig_fn) in tools.items():
- desc = getattr(orig_fn, "__mcp_description__", None) or inspect.getdoc(orig_fn) or ""
- schema = getattr(orig_fn, "__mcp_schema__", None) or _schema(_body_model(orig_fn))
- out.append(
- t.Tool(name=k, description=desc, inputSchema=schema)
- )
- return out
-
-
- @mcp.call_tool()
- async def _call_tool(name: str, arguments: Dict | None) -> List[t.TextContent]:
- if name not in tools:
- raise HTTPException(404, "tool not found")
-
- proxy, _ = tools[name]
- try:
- res = await proxy(**(arguments or {}))
- except HTTPException as exc:
- # map server‑side errors into MCP "text/error" payloads
- err = {"error": exc.status_code, "detail": exc.detail}
- return [t.TextContent(type = "text", text=json.dumps(err))]
- return [t.TextContent(type = "text", text=json.dumps(res, default=str))]
-
- @mcp.list_resources()
- async def _list_resources() -> List[t.Resource]:
- return [
- t.Resource(name=k, description=inspect.getdoc(f) or "", mime_type="application/json")
- for k, f in resources.items()
- ]
-
- @mcp.read_resource()
- async def _read_resource(name: str) -> List[t.TextContent]:
- if name not in resources:
- raise HTTPException(404, "resource not found")
- res = resources[name]()
- return [t.TextContent(type = "text", text=json.dumps(res, default=str))]
-
- @mcp.list_resource_templates()
- async def _list_templates() -> List[t.ResourceTemplate]:
- return [
- t.ResourceTemplate(
- name=k,
- description=inspect.getdoc(f) or "",
- parameters={
- p: {"type": "string"} for p in _path_params(app, f)
- },
- )
- for k, f in templates.items()
- ]
-
- init_opts = InitializationOptions(
- server_name=server_name,
- server_version="0.1.0",
- capabilities=mcp.get_capabilities(
- notification_options=NotificationOptions(),
- experimental_capabilities={},
- ),
- )
-
- # ── WebSocket transport ────────────────────────────────────
- @app.websocket_route(f"{base}/ws")
- async def _ws(ws: WebSocket):
- await ws.accept()
- c2s_send, c2s_recv = anyio.create_memory_object_stream(100)
- s2c_send, s2c_recv = anyio.create_memory_object_stream(100)
-
- from pydantic import TypeAdapter
- from mcp.types import JSONRPCMessage
- adapter = TypeAdapter(JSONRPCMessage)
-
- init_done = anyio.Event()
-
- async def srv_to_ws():
- first = True
- try:
- async for msg in s2c_recv:
- await ws.send_json(msg.model_dump())
- if first:
- init_done.set()
- first = False
- finally:
- # make sure cleanup survives TaskGroup cancellation
- with anyio.CancelScope(shield=True):
- with suppress(RuntimeError): # idempotent close
- await ws.close()
-
- async def ws_to_srv():
- try:
- # 1st frame is always "initialize"
- first = adapter.validate_python(await ws.receive_json())
- await c2s_send.send(first)
- await init_done.wait() # block until server ready
- while True:
- data = await ws.receive_json()
- await c2s_send.send(adapter.validate_python(data))
- except WebSocketDisconnect:
- await c2s_send.aclose()
-
- async with anyio.create_task_group() as tg:
- tg.start_soon(mcp.run, c2s_recv, s2c_send, init_opts)
- tg.start_soon(ws_to_srv)
- tg.start_soon(srv_to_ws)
-
- # ── SSE transport (official) ─────────────────────────────
- sse = SseServerTransport(f"{base}/messages/")
-
- @app.get(f"{base}/sse")
- async def _mcp_sse(request: Request):
- async with sse.connect_sse(
- request.scope, request.receive, request._send # starlette ASGI primitives
- ) as (read_stream, write_stream):
- await mcp.run(read_stream, write_stream, init_opts)
-
- # client → server frames are POSTed here
- app.mount(f"{base}/messages", app=sse.handle_post_message)
-
- # ── schema endpoint ───────────────────────────────────────
- @app.get(f"{base}/schema")
- async def _schema_endpoint():
- return JSONResponse({
- "tools": [x.model_dump() for x in await _list_tools()],
- "resources": [x.model_dump() for x in await _list_resources()],
- "resource_templates": [x.model_dump() for x in await _list_templates()],
- })
-
-
-# ── helpers ────────────────────────────────────────────────────
-def _route_name(path: str) -> str:
- return re.sub(r"[/{}}]", "_", path).strip("_")
-
-def _path_params(app: FastAPI, fn: Callable) -> List[str]:
- for r in app.routes:
- if r.endpoint is fn:
- return list(r.param_convertors.keys())
- return []
diff --git a/deploy/docker/middleware/__init__.py b/deploy/docker/middleware/__init__.py
new file mode 100644
index 000000000..f9a7c6e57
--- /dev/null
+++ b/deploy/docker/middleware/__init__.py
@@ -0,0 +1,2 @@
+# deploy/docker/middleware/__init__.py
+"""Middleware layer - authentication and error handling."""
\ No newline at end of file
diff --git a/deploy/docker/auth.py b/deploy/docker/middleware/auth.py
similarity index 100%
rename from deploy/docker/auth.py
rename to deploy/docker/middleware/auth.py
diff --git a/deploy/docker/middleware/error_middleware.py b/deploy/docker/middleware/error_middleware.py
new file mode 100644
index 000000000..750d9cea7
--- /dev/null
+++ b/deploy/docker/middleware/error_middleware.py
@@ -0,0 +1,76 @@
+# deploy/docker/error_middleware.py
+
+from __future__ import annotations
+
+import logging
+from typing import Callable
+
+from fastapi import Request, Response
+from starlette.middleware.base import BaseHTTPMiddleware
+from starlette.responses import JSONResponse
+
+from core.error_context import ErrorContext, set_correlation_id
+
+
+logger = logging.getLogger(__name__)
+
+
+class ErrorHandlingMiddleware(BaseHTTPMiddleware):
+ """
+ Centralized error handling middleware.
+
+ Replaces per-endpoint error handling with a single middleware layer that:
+ - Sets correlation IDs for request tracking
+ - Catches all unhandled exceptions
+ - Converts them to structured error responses
+ - Logs errors with full context
+ """
+
+ async def dispatch(self, request: Request, call_next: Callable) -> Response:
+ correlation_id = request.headers.get("X-Correlation-ID", "")
+ if not correlation_id:
+ error_ctx = ErrorContext.from_exception(Exception())
+ correlation_id = error_ctx.correlation_id
+
+ set_correlation_id(correlation_id)
+
+ try:
+ response = await call_next(request)
+ response.headers["X-Correlation-ID"] = correlation_id
+ return response
+
+ except Exception as exc:
+ logger.exception(
+ "Unhandled exception during request processing [%s]",
+ correlation_id,
+ extra={
+ "correlation_id": correlation_id,
+ "path": request.url.path,
+ "method": request.method,
+ },
+ )
+
+ error_ctx = ErrorContext.from_exception(
+ exc,
+ operation=f"{request.method} {request.url.path}"
+ )
+ error_ctx.correlation_id = correlation_id
+ error_ctx.log()
+
+ error_response = error_ctx.to_error_response()
+
+ status_code = 500
+ if error_ctx.error_type == "validation":
+ status_code = 400
+ elif error_ctx.error_type == "not_found":
+ status_code = 404
+ elif error_ctx.error_type == "security":
+ status_code = 403
+ elif error_ctx.error_type == "size_limit":
+ status_code = 413
+
+ return JSONResponse(
+ status_code=status_code,
+ content=error_response.model_dump(),
+ headers={"X-Correlation-ID": correlation_id},
+ )
\ No newline at end of file
diff --git a/deploy/docker/requirements.txt b/deploy/docker/requirements.txt
index d463c6410..a9584822b 100644
--- a/deploy/docker/requirements.txt
+++ b/deploy/docker/requirements.txt
@@ -7,11 +7,10 @@ redis>=5.2.1
jwt>=1.3.1
dnspython>=2.7.0
email-validator==2.2.0
-sse-starlette==2.2.1
pydantic>=2.11
rank-bm25==0.2.2
anyio==4.9.0
PyJWT==2.10.1
-mcp>=1.6.0
+fastmcp==2.12.3
websockets>=15.0.1
httpx[http2]>=0.27.2
diff --git a/deploy/docker/schemas.py b/deploy/docker/schemas.py
deleted file mode 100644
index 96196633a..000000000
--- a/deploy/docker/schemas.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import List, Optional, Dict
-from enum import Enum
-from pydantic import BaseModel, Field
-from utils import FilterType
-
-
-class CrawlRequest(BaseModel):
- urls: List[str] = Field(min_length=1, max_length=100)
- browser_config: Optional[Dict] = Field(default_factory=dict)
- crawler_config: Optional[Dict] = Field(default_factory=dict)
-
-class MarkdownRequest(BaseModel):
- """Request body for the /md endpoint."""
- url: str = Field(..., description="Absolute http/https URL to fetch")
- f: FilterType = Field(FilterType.FIT, description="Content‑filter strategy: fit, raw, bm25, or llm")
- q: Optional[str] = Field(None, description="Query string used by BM25/LLM filters")
- c: Optional[str] = Field("0", description="Cache‑bust / revision counter")
- provider: Optional[str] = Field(None, description="LLM provider override (e.g., 'anthropic/claude-3-opus')")
-
-
-class RawCode(BaseModel):
- code: str
-
-class HTMLRequest(BaseModel):
- url: str
-
-class ScreenshotRequest(BaseModel):
- url: str
- screenshot_wait_for: Optional[float] = 2
- output_path: Optional[str] = None
-
-class PDFRequest(BaseModel):
- url: str
- output_path: Optional[str] = None
-
-
-class JSEndpointRequest(BaseModel):
- url: str
- scripts: List[str] = Field(
- ...,
- description="List of separated JavaScript snippets to execute"
- )
\ No newline at end of file
diff --git a/deploy/docker/server.py b/deploy/docker/server.py
index 57fd3d6da..371ebdf39 100644
--- a/deploy/docker/server.py
+++ b/deploy/docker/server.py
@@ -7,76 +7,81 @@
"""
# ── stdlib & 3rd‑party imports ───────────────────────────────
-from crawler_pool import get_crawler, close_all, janitor
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
-from auth import create_access_token, get_token_dependency, TokenRequest
-from pydantic import BaseModel
-from typing import Optional, List, Dict
-from fastapi import Request, Depends
-from fastapi.responses import FileResponse
+import asyncio
+import ast
import base64
-import re
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
-from api import (
- handle_markdown_request, handle_llm_qa,
- handle_stream_crawl_request, handle_crawl_request,
- stream_results
-)
-from schemas import (
- CrawlRequest,
- MarkdownRequest,
- RawCode,
- HTMLRequest,
- ScreenshotRequest,
- PDFRequest,
- JSEndpointRequest,
-)
-
-from utils import (
- FilterType, load_config, setup_logging, verify_email_domain
-)
+import inspect
+import logging
import os
+import pathlib
+import re
import sys
import time
-import asyncio
-from typing import List
+import urllib.parse
+import uuid
from contextlib import asynccontextmanager
-import pathlib
+from typing import Dict, List, Optional
-from fastapi import (
- FastAPI, HTTPException, Request, Path, Query, Depends
-)
-from rank_bm25 import BM25Okapi
-from fastapi.responses import (
- StreamingResponse, RedirectResponse, PlainTextResponse, JSONResponse
-)
+# ── internal imports (add to sys.path first) ─────────────────
+sys.path.append(os.path.dirname(os.path.realpath(__file__)))
+
+from fastapi import Depends, FastAPI, HTTPException, Path, Query, Request
from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware
from fastapi.middleware.trustedhost import TrustedHostMiddleware
+from fastapi.responses import (
+ FileResponse,
+ JSONResponse,
+ PlainTextResponse,
+ RedirectResponse,
+ StreamingResponse,
+)
from fastapi.staticfiles import StaticFiles
-from job import init_job_router
-
-from mcp_bridge import attach_mcp, mcp_resource, mcp_template, mcp_tool
+from prometheus_fastapi_instrumentator import Instrumentator
+from rank_bm25 import BM25Okapi
+from redis import asyncio as aioredis
+from slowapi import Limiter
+from slowapi.util import get_remote_address
-import ast
+from app.api import (
+ handle_crawl_request,
+ handle_llm_qa,
+ handle_markdown_request,
+ handle_stream_crawl_request,
+ stream_results,
+)
+from middleware.auth import TokenRequest, create_access_token, get_token_dependency
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
import crawl4ai as _c4
+from app.crawler_pool import close_all, get_crawler, janitor
+from core.job import init_job_router
+from core.mcp_service import MCPService, mcp_resource, mcp_template, mcp_tool
+from app.schemas import (
+ CrawlRequest,
+ HTMLRequest,
+ JSEndpointRequest,
+ MarkdownRequest,
+ ErrorResponse,
+ PDFRequest,
+ RawCode,
+ ScreenshotRequest,
+)
+from app.utils import FilterType, load_config, setup_logging, verify_email_domain, _ensure_within_base_dir
from pydantic import BaseModel, Field
-from slowapi import Limiter
-from slowapi.util import get_remote_address
-from prometheus_fastapi_instrumentator import Instrumentator
-from redis import asyncio as aioredis
-# ── internal imports (after sys.path append) ─────────────────
-sys.path.append(os.path.dirname(os.path.realpath(__file__)))
+# Import new error handling system
+from core.error_context import ErrorContext, parse_network_error, parse_security_error
# ────────────────── configuration / logging ──────────────────
config = load_config()
setup_logging(config)
-__version__ = "0.5.1-d1"
+__version__ = "0.7.4"
# ── global page semaphore (hard cap) ─────────────────────────
MAX_PAGES = config["crawler"]["pool"].get("max_pages", 30)
GLOBAL_SEM = asyncio.Semaphore(MAX_PAGES)
+INLINE_BINARY_MAX_BYTES = 16 * 1024 # ~16KB (~21k base64 chars ≈ <25k tokens)
+INLINE_BINARY_MAX_BASE64_CHARS = INLINE_BINARY_MAX_BYTES * 4 // 3
# import logging
# page_log = logging.getLogger("page_cap")
@@ -98,11 +103,19 @@ async def capped_arun(self, *a, **kw):
return await orig_arun(self, *a, **kw)
AsyncWebCrawler.arun = capped_arun
-# ───────────────────── FastAPI lifespan ──────────────────────
+# ───────────────────── MCP & FastAPI setup ──────────────────────
+# Create MCP service (tools will be registered after routes exist)
+proxy_host = "127.0.0.1" if config['app']['host'] == "0.0.0.0" else config['app']['host']
+mcp_service = MCPService(
+ base_url=f"http://{proxy_host}:{config['app']['port']}",
+ server_name=config["app"]["title"]
+)
+mcp_app = mcp_service.mcp_server.http_app(path="/mcp")
+# Define existing crawler lifespan
@asynccontextmanager
-async def lifespan(_: FastAPI):
+async def crawler_lifespan(app: FastAPI):
await get_crawler(BrowserConfig(
extra_args=config["crawler"]["browser"].get("extra_args", []),
**config["crawler"]["browser"].get("kwargs", {}),
@@ -112,11 +125,30 @@ async def lifespan(_: FastAPI):
app.state.janitor.cancel()
await close_all()
+# Combine MCP and crawler lifespans
+@asynccontextmanager
+async def combined_lifespan(app):
+ if mcp_app.lifespan is None and crawler_lifespan is None:
+ yield
+ return
+ if mcp_app.lifespan is None:
+ async with crawler_lifespan(app):
+ yield
+ return
+ if crawler_lifespan is None:
+ async with mcp_app.lifespan(app):
+ yield
+ return
+
+ async with mcp_app.lifespan(app):
+ async with crawler_lifespan(app):
+ yield
+
# ───────────────────── FastAPI instance ──────────────────────
app = FastAPI(
title=config["app"]["title"],
version=config["app"]["version"],
- lifespan=lifespan,
+ lifespan=combined_lifespan,
)
# ── static playground ──────────────────────────────────────
@@ -158,8 +190,17 @@ def _setup_security(app_: FastAPI):
_setup_security(app)
+# Add error handling middleware
+from middleware.error_middleware import ErrorHandlingMiddleware
+app.add_middleware(ErrorHandlingMiddleware)
+
if config["observability"]["prometheus"]["enabled"]:
Instrumentator().instrument(app).expose(app)
+else:
+
+ @app.get(config["observability"]["prometheus"]["endpoint"])
+ async def metrics_disabled():
+ return PlainTextResponse("Prometheus metrics disabled", status_code=404)
token_dep = get_token_dependency(config)
@@ -178,6 +219,23 @@ async def add_security_headers(request: Request, call_next):
}
+logger = logging.getLogger(__name__)
+
+
+def _resolve_binary_base_dir() -> str:
+ base_dir = config.get("binary", {}).get("default_dir", "/tmp/crawl4ai-exports")
+ return os.path.abspath(base_dir)
+
+
+
+
+
+def _ensure_directory(path: str) -> None:
+ os.makedirs(path, mode=0o750, exist_ok=True)
+
+
+
+
def _safe_eval_config(expr: str) -> dict:
"""
Accept exactly one top‑level call to CrawlerRunConfig(...) or BrowserConfig(...).
@@ -225,8 +283,10 @@ async def get_token(req: TokenRequest):
async def config_dump(raw: RawCode):
try:
return JSONResponse(_safe_eval_config(raw.code.strip()))
+ except ValueError as e:
+ raise HTTPException(400, f"Configuration validation error: {str(e)}")
except Exception as e:
- raise HTTPException(400, str(e))
+ raise HTTPException(400, f"Failed to parse configuration: {str(e)}. Ensure you're using valid CrawlerRunConfig() or BrowserConfig() syntax.")
@app.post("/md")
@@ -236,18 +296,48 @@ async def get_markdown(
request: Request,
body: MarkdownRequest,
_td: Dict = Depends(token_dep),
+ # Backward compatibility query parameters
+ f: Optional[str] = Query(None, description="Deprecated: use 'filter' in request body"),
+ q: Optional[str] = Query(None, description="Deprecated: use 'query' in request body"),
+ c: Optional[str] = Query(None, description="Deprecated: use 'cache' in request body"),
):
+ """
+ Tool for /md
+
+ Generate Markdown from a URL or raw HTML.
+
+ - Filter `filter` allowed values: 'raw', 'fit', 'bm25', 'llm'.
+ - Query `query` is used only by 'bm25' and 'llm' filters (recommended/required for meaningful results).
+ - For `filter="llm"`, ensure an LLM API key is configured (via environment or server config).
+ - URLs must start with http(s) or use the raw scheme: `raw:` or `raw://` for inline HTML.
+
+ Note: Query parameters f/q/c are deprecated but supported for backward compatibility.
+ Use request body parameters filter/query/cache instead.
+ """
+ # Parameter precedence: body params > query params (backward compatibility)
+ # Use query params as fallback for default values
+ filter_param = body.filter
+ if body.filter == FilterType.FIT and f is not None:
+ try:
+ filter_param = FilterType(f)
+ except ValueError:
+ raise HTTPException(400, f"Invalid filter value: {f}. Must be one of: raw, fit, bm25, llm")
+
+ query_param = q if body.query is None and q is not None else body.query
+ cache_param = c if body.cache == "0" and c is not None else body.cache
+ provider_param = body.provider
+
if not body.url.startswith(("http://", "https://")) and not body.url.startswith(("raw:", "raw://")):
raise HTTPException(
400, "Invalid URL format. Must start with http://, https://, or for raw HTML (raw:, raw://)")
markdown = await handle_markdown_request(
- body.url, body.f, body.q, body.c, config, body.provider
+ body.url, filter_param, query_param, cache_param, config, provider_param
)
return JSONResponse({
"url": body.url,
- "filter": body.f,
- "query": body.q,
- "cache": body.c,
+ "filter": filter_param,
+ "query": query_param,
+ "cache": cache_param,
"markdown": markdown,
"success": True
})
@@ -268,7 +358,21 @@ async def generate_html(
cfg = CrawlerRunConfig()
async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
results = await crawler.arun(url=body.url, config=cfg)
- raw_html = results[0].html
+ first_result = results[0]
+
+ # Check for failure or HTTP error status codes
+ status_code = getattr(first_result, "status_code", None)
+ if not getattr(first_result, "success", False) or not getattr(first_result, "html", ""):
+ error_msg = getattr(first_result, "error_message", "Unable to retrieve HTML")
+ error_ctx = parse_network_error(error_msg, "Fetch HTML")
+ raise error_ctx.to_http_exception(502)
+
+ if status_code and status_code >= 400:
+ error_msg = f"HTTP {status_code} error when fetching {body.url}"
+ error_ctx = parse_network_error(error_msg, "Fetch HTML")
+ raise error_ctx.to_http_exception(502)
+
+ raw_html = first_result.html
from crawl4ai.utils import preprocess_html_for_schema
processed_html = preprocess_html_for_schema(raw_html)
return JSONResponse({"html": processed_html, "url": body.url, "success": True})
@@ -285,21 +389,72 @@ async def generate_screenshot(
_td: Dict = Depends(token_dep),
):
"""
- Capture a full-page PNG screenshot of the specified URL, waiting an optional delay before capture,
- Use when you need an image snapshot of the rendered page. Its recommened to provide an output path to save the screenshot.
- Then in result instead of the screenshot you will get a path to the saved file.
+ Capture a full-page PNG screenshot of the specified URL, waiting an optional delay before capture, returning base64 data if output_path is omitted.
+ Use when you need an image snapshot of the rendered page. It is strongly recommended to provide `output_path` to save the screenshot to disk.
+ This avoids returning large base64 payloads that can exceed token/context limits. When `output_path` is provided, the response returns the saved file path instead of inline data.
+
+ Note on screenshot_wait_for:
+ - Positive values: Wait the specified number of seconds before capturing
+ - Zero or negative values: Accepted but treated as no wait (immediate capture)
+ - Default: 0.0 seconds (immediate capture after page load)
"""
cfg = CrawlerRunConfig(
screenshot=True, screenshot_wait_for=body.screenshot_wait_for)
async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
results = await crawler.arun(url=body.url, config=cfg)
- screenshot_data = results[0].screenshot
+
+ first_result = results[0]
+ if not first_result.success:
+ error_msg = first_result.error_message or "Screenshot capture failed"
+ error_ctx = parse_network_error(error_msg, "Screenshot capture")
+ raise error_ctx.to_http_exception(502)
+
+ screenshot_data = first_result.screenshot
+ if screenshot_data is None:
+ raise HTTPException(502, "Screenshot capture failed: No screenshot data returned")
+
+ binary_base_dir = _resolve_binary_base_dir()
+ decoded_bytes: Optional[bytes] = None
+
+ def ensure_decoded() -> bytes:
+ nonlocal decoded_bytes
+ if decoded_bytes is None:
+ decoded_bytes = base64.b64decode(screenshot_data)
+ return decoded_bytes
+
if body.output_path:
- abs_path = os.path.abspath(body.output_path)
- os.makedirs(os.path.dirname(abs_path), exist_ok=True)
- with open(abs_path, "wb") as f:
- f.write(base64.b64decode(screenshot_data))
- return {"success": True, "path": abs_path}
+ # Clean up the path - remove any surrounding quotes and normalize
+ clean_path = body.output_path.strip('"\'')
+ if os.path.isabs(clean_path):
+ abs_path = os.path.normpath(clean_path)
+ else:
+ abs_path = os.path.abspath(clean_path)
+ _ensure_within_base_dir(abs_path, binary_base_dir)
+ _ensure_directory(os.path.dirname(abs_path))
+ try:
+ with open(abs_path, "wb") as file_handle:
+ file_handle.write(ensure_decoded())
+ except OSError as write_error:
+ logger.warning("screenshot file write failed: %s", write_error)
+ else:
+ return {"success": True, "path": abs_path}
+
+ bin_cfg = config.get("binary", {})
+ if bin_cfg.get("default_mode") == "file":
+ _ensure_directory(binary_base_dir)
+ parsed = urllib.parse.urlparse(body.url)
+ host = parsed.netloc or "page"
+ unique_id = uuid.uuid4().hex
+ filename = f"screenshot_{host}_{unique_id}.png"
+ abs_path = os.path.join(binary_base_dir, filename)
+ try:
+ with open(abs_path, "wb") as file_handle:
+ file_handle.write(ensure_decoded())
+ except OSError as write_error:
+ logger.warning("screenshot file write failed: %s", write_error)
+ else:
+ return {"success": True, "path": abs_path}
+
return {"success": True, "screenshot": screenshot_data}
# PDF endpoint
@@ -314,21 +469,63 @@ async def generate_pdf(
_td: Dict = Depends(token_dep),
):
"""
- Generate a PDF document of the specified URL,
- Use when you need a printable or archivable snapshot of the page. It is recommended to provide an output path to save the PDF.
- Then in result instead of the PDF you will get a path to the saved file.
+ Generate a PDF document of the specified URL, returning base64 data if output_path is omitted.
+ Use when you need a printable or archivable snapshot of the page. It is strongly recommended to provide `output_path` to save the PDF to disk.
+ This avoids returning large binary/base64 payloads that can exceed token/context limits. When `output_path` is provided, the response returns the saved file path instead of inline data.
"""
cfg = CrawlerRunConfig(pdf=True)
async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
results = await crawler.arun(url=body.url, config=cfg)
- pdf_data = results[0].pdf
+
+ first_result = results[0]
+ if not first_result.success:
+ error_msg = first_result.error_message or "PDF generation failed - page navigation failed"
+ error_ctx = parse_network_error(error_msg, "PDF generation")
+ raise error_ctx.to_http_exception(502)
+
+ pdf_data = first_result.pdf
+ binary_base_dir = _resolve_binary_base_dir()
+
if body.output_path:
- abs_path = os.path.abspath(body.output_path)
- os.makedirs(os.path.dirname(abs_path), exist_ok=True)
- with open(abs_path, "wb") as f:
- f.write(pdf_data)
- return {"success": True, "path": abs_path}
- return {"success": True, "pdf": base64.b64encode(pdf_data).decode()}
+ # Clean up the path - remove any surrounding quotes and normalize
+ clean_path = body.output_path.strip('"\'')
+ if os.path.isabs(clean_path):
+ abs_path = os.path.normpath(clean_path)
+ else:
+ abs_path = os.path.abspath(clean_path)
+ _ensure_within_base_dir(abs_path, binary_base_dir)
+ _ensure_directory(os.path.dirname(abs_path))
+ try:
+ with open(abs_path, "wb") as file_handle:
+ file_handle.write(pdf_data)
+ except OSError as write_error:
+ logger.warning("pdf file write failed: %s", write_error)
+ else:
+ return {"success": True, "path": abs_path}
+
+ bin_cfg = config.get("binary", {})
+ default_mode = bin_cfg.get("default_mode") == "file"
+ if default_mode and pdf_data is not None:
+ _ensure_directory(binary_base_dir)
+ parsed = urllib.parse.urlparse(body.url)
+ host = parsed.netloc or "page"
+ unique_id = uuid.uuid4().hex
+ filename = f"document_{host}_{unique_id}.pdf"
+ abs_path = os.path.join(binary_base_dir, filename)
+ try:
+ with open(abs_path, "wb") as file_handle:
+ file_handle.write(pdf_data)
+ except OSError as write_error:
+ logger.warning("pdf file write failed: %s", write_error)
+ else:
+ return {"success": True, "path": abs_path}
+
+ if pdf_data is None:
+ raise HTTPException(502, "PDF generation failed")
+
+ encoded_pdf = base64.b64encode(pdf_data).decode()
+
+ return {"success": True, "pdf": encoded_pdf}
@app.post("/execute_js")
@@ -340,14 +537,33 @@ async def execute_js(
_td: Dict = Depends(token_dep),
):
"""
- Execute a sequence of JavaScript snippets on the specified URL.
- Return the full CrawlResult JSON (first result).
- Use this when you need to interact with dynamic pages using JS.
- REMEMBER: Scripts accept a list of separated JS snippets to execute and execute them in order.
- IMPORTANT: Each script should be an expression that returns a value. It can be an IIFE or an async function. You can think of it as such.
- Your script will replace '{script}' and execute in the browser context. So provide either an IIFE or a sync/async function that returns a value.
+ Execute JavaScript snippets against a fresh instance of the requested page.
+
+ Each call loads ``body.url`` in a new browser context, runs the supplied
+ ``scripts`` sequentially (as if passed to ``page.evaluate``), captures the
+ resulting page content, and then tears the context down. There is no
+ persistent session between requests.
+
+ Usage notes:
+
+ - Snippets execute in the page scope. Do **not** reference a ``page``
+ object; use DOM APIs such as ``document`` or ``window``.
+ - Provide each snippet as an expression (a self-invoking sync/async
+ function is the safest pattern). A snippet may ``return`` a value which
+ will be captured and made available in the response.
+ - All snippets run even if one fails; inspect
+ ``js_execution_result['results']`` for per-snippet status and error
+ stacks, and ``js_execution_result['return_values']`` for actual returned values.
+
+ The endpoint returns the first ``CrawlResult`` produced by the crawl so you
+ can inspect the mutated HTML, links, markdown, etc., after the scripts have
+ executed. Use this when you need to poke a page with a bit of JavaScript
+ but don't require a long-lived automated session.
+
Return Format:
- - The return result is an instance of CrawlResult, so you have access to markdown, links, and other stuff. If this is enough, you don't need to call again for other endpoints.
+ - The return result is an instance of CrawlResult, so you have access to
+ markdown, links, and other fields. If that contains what you need,
+ there is no need to call other endpoints.
```python
class CrawlResult(BaseModel):
@@ -387,8 +603,44 @@ class MarkdownGenerationResult(BaseModel):
cfg = CrawlerRunConfig(js_code=body.scripts)
async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
results = await crawler.arun(url=body.url, config=cfg)
+
# Return JSON-serializable dict of the first CrawlResult
- data = results[0].model_dump()
+ result = results[0]
+ data = result.model_dump()
+
+ # Ensure js_execution_result is properly structured and extract return values
+ if data.get('js_execution_result'):
+ logger.info(f"JS execution results: {data['js_execution_result']}")
+
+ # Post-process to extract actual return values for backward compatibility
+ js_result = data['js_execution_result']
+
+ if js_result.get('success') and js_result.get('results'):
+ processed_results = []
+ for result_item in js_result['results']:
+ # Handle different result structures
+ if isinstance(result_item, dict):
+ if result_item.get('success') is False:
+ # Keep error results as-is for debugging
+ processed_results.append(result_item)
+ elif result_item.get('success') is True and 'result' in result_item:
+ # Extract the actual return value from {success: true, result: value}
+ processed_results.append(result_item['result'])
+ elif result_item.get('success') is True:
+ # Handle {success: true} without result field - means undefined/null return
+ processed_results.append(None)
+ else:
+ # Direct value object - this IS the return value
+ processed_results.append(result_item)
+ else:
+ # Direct primitive value - this IS the return value
+ processed_results.append(result_item)
+
+ # Update the js_execution_result to include both raw results and processed return values
+ data['js_execution_result']['return_values'] = processed_results
+ else:
+ logger.warning(f"No JS execution results found. Result fields: {list(data.keys())}")
+
return JSONResponse(data)
@@ -419,11 +671,6 @@ async def health():
return {"status": "ok", "timestamp": time.time(), "version": __version__}
-@app.get(config["observability"]["prometheus"]["endpoint"])
-async def metrics():
- return RedirectResponse(config["observability"]["prometheus"]["endpoint"])
-
-
@app.post("/crawl")
@limiter.limit(config["rate_limiting"]["default_limit"])
@mcp_tool("crawl")
@@ -433,7 +680,10 @@ async def crawl(
_td: Dict = Depends(token_dep),
):
"""
- Crawl a list of URLs and return the results as JSON.
+ Crawl a list of URLs and return the results as JSON. Accepts a single string or a list of strings.
+
+ If your MCP client encounters token/size limit errors with large responses, use the `output_path` parameter
+ to export results to a file instead.
"""
if not crawl_request.urls:
raise HTTPException(400, "At least one URL required")
@@ -442,6 +692,7 @@ async def crawl(
browser_config=crawl_request.browser_config,
crawler_config=crawl_request.crawler_config,
config=config,
+ output_path=crawl_request.output_path,
)
return JSONResponse(res)
@@ -518,7 +769,7 @@ def chunk_doc_sections(doc: str) -> List[str]:
async def get_context(
request: Request,
_td: Dict = Depends(token_dep),
- context_type: str = Query("all", regex="^(code|doc|all)$"),
+ context_type: str = Query("all", pattern="^(code|doc|all)$"),
query: Optional[str] = Query(
None, description="search query to filter chunks"),
score_ratio: float = Query(
@@ -527,9 +778,9 @@ async def get_context(
20, ge=1, description="absolute cap on returned chunks"),
):
"""
- This end point is design for any questions about Crawl4ai library. It returns a plain text markdown with extensive information about Crawl4ai.
- You can use this as a context for any AI assistant. Use this endpoint for AI assistants to retrieve library context for decision making or code generation tasks.
- Alway is BEST practice you provide a query to filter the context. Otherwise the lenght of the response will be very long.
+ This endpoint is designed for any questions about the Crawl4AI library. It returns plain text markdown with extensive information about Crawl4AI.
+ You can use this as context for any AI assistant. Use this endpoint for AI assistants to retrieve library context for decision making or code generation tasks.
+ It is BEST practice to provide a query to filter the context. Otherwise the length of the response will be very long.
Parameters:
- context_type: Specify "code" for code context, "doc" for documentation context, or "all" for both.
@@ -550,60 +801,95 @@ async def get_context(
if not os.path.exists(code_path) or not os.path.exists(doc_path):
raise HTTPException(404, "Context files not found")
- with open(code_path, "r") as f:
+ with open(code_path, "r", encoding="utf-8") as f:
code_content = f.read()
- with open(doc_path, "r") as f:
+ with open(doc_path, "r", encoding="utf-8") as f:
doc_content = f.read()
- # if no query, just return raw contexts
- if not query:
- if context_type == "code":
- return JSONResponse({"code_context": code_content})
- if context_type == "doc":
- return JSONResponse({"doc_context": doc_content})
- return JSONResponse({
- "code_context": code_content,
- "doc_context": doc_content,
- })
-
- tokens = query.split()
- results: Dict[str, List[Dict[str, float]]] = {}
-
- # code BM25 over functions/classes
- if context_type in ("code", "all"):
- code_chunks = chunk_code_functions(code_content)
- bm25 = BM25Okapi([c.split() for c in code_chunks])
- scores = bm25.get_scores(tokens)
- max_sc = float(scores.max()) if scores.size > 0 else 0.0
- cutoff = max_sc * score_ratio
- picked = [(c, s) for c, s in zip(code_chunks, scores) if s >= cutoff]
- picked = sorted(picked, key=lambda x: x[1], reverse=True)[:max_results]
- results["code_results"] = [{"text": c, "score": s} for c, s in picked]
-
- # doc BM25 over markdown sections
- if context_type in ("doc", "all"):
- sections = chunk_doc_sections(doc_content)
- bm25d = BM25Okapi([sec.split() for sec in sections])
- scores_d = bm25d.get_scores(tokens)
- max_sd = float(scores_d.max()) if scores_d.size > 0 else 0.0
- cutoff_d = max_sd * score_ratio
- idxs = [i for i, s in enumerate(scores_d) if s >= cutoff_d]
- neighbors = set(i for idx in idxs for i in (idx-1, idx, idx+1))
- valid = [i for i in sorted(neighbors) if 0 <= i < len(sections)]
- valid = valid[:max_results]
- results["doc_results"] = [
- {"text": sections[i], "score": scores_d[i]} for i in valid
- ]
+ def _truncate(text: str, limit: int = 800) -> str:
+ if len(text) <= limit:
+ return text
+ return text[:limit].rstrip() + "…"
+
+ results: Dict[str, List[Dict[str, object]]] = {}
+
+ if query:
+ tokens = query.split()
+ if context_type in ("code", "all"):
+ code_chunks = chunk_code_functions(code_content)
+ bm25 = BM25Okapi([c.split() for c in code_chunks])
+ scores = bm25.get_scores(tokens)
+ max_sc = float(scores.max()) if scores.size > 0 else 0.0
+ cutoff = max_sc * score_ratio
+ picked = [(c, s) for c, s in zip(code_chunks, scores) if s >= cutoff]
+ picked = sorted(picked, key=lambda x: x[1], reverse=True)[:max_results]
+ results["code_results"] = [{"text": c, "score": s} for c, s in picked]
+
+ if context_type in ("doc", "all"):
+ sections = chunk_doc_sections(doc_content)
+ bm25d = BM25Okapi([sec.split() for sec in sections])
+ scores_d = bm25d.get_scores(tokens)
+ max_sd = float(scores_d.max()) if scores_d.size > 0 else 0.0
+ cutoff_d = max_sd * score_ratio
+ idxs = [i for i, s in enumerate(scores_d) if s >= cutoff_d]
+ neighbors = set(i for idx in idxs for i in (idx - 1, idx, idx + 1))
+ valid = [i for i in sorted(neighbors) if 0 <= i < len(sections)]
+ valid = valid[:max_results]
+ results["doc_results"] = [
+ {"text": sections[i], "score": scores_d[i]} for i in valid
+ ]
+ else:
+ default_cap = min(max_results, 5)
+ if context_type in ("code", "all"):
+ code_chunks = chunk_code_functions(code_content)[:default_cap]
+ results["code_results"] = [
+ {"text": _truncate(chunk), "score": None} for chunk in code_chunks
+ ]
+ if context_type in ("doc", "all"):
+ doc_sections = chunk_doc_sections(doc_content)[:default_cap]
+ results["doc_results"] = [
+ {"text": _truncate(section), "score": None} for section in doc_sections
+ ]
return JSONResponse(results)
-# attach MCP layer (adds /mcp/ws, /mcp/sse, /mcp/schema)
+# Register tools using MCP service
print(f"MCP server running on {config['app']['host']}:{config['app']['port']}")
-attach_mcp(
- app,
- base_url=f"http://{config['app']['host']}:{config['app']['port']}"
-)
+tool_definitions = mcp_service.extract_tools_from_routes(app.routes)
+mcp_service.register_tools(tool_definitions)
+
+# Add MCP schema endpoint for documentation and introspection
+@app.get("/mcp/schema")
+@mcp_resource("mcp_schema")
+async def get_mcp_schema():
+ """
+ Get MCP tool schemas for documentation and introspection.
+
+ Returns detailed information about available MCP tools, their parameters,
+ and capabilities in a structured format.
+ """
+ try:
+ schema_data = mcp_service.get_mcp_schema(app.openapi(), app.routes)
+ return JSONResponse(schema_data)
+ except Exception as e:
+ import traceback
+ logging.error(f"Failed to generate MCP schema: {e}\n{traceback.format_exc()}")
+ return JSONResponse({
+ "error": f"Failed to generate MCP schema: {str(e)}",
+ "tools": [],
+ "resources": [],
+ "prompts": []
+ }, status_code=500)
+
+
+
+# Mount MCP app at root level but preserve our FastAPI routes
+# Known limitation: MCP tools don't forward JWT Authorization headers when security.jwt_enabled=true
+# Internal proxy calls will fail authentication. Disable JWT or implement header forwarding for MCP usage.
+app.mount("/", app=mcp_app, name="mcp")
+print("Mounted MCP app at / (MCP endpoint at /mcp)")
+print(f"MCP schema available at http://{config['app']['host']}:{config['app']['port']}/mcp/schema")
# ────────────────────────── cli ──────────────────────────────
if __name__ == "__main__":
diff --git a/deploy/docker/static/playground/index.html b/deploy/docker/static/playground/index.html
index e01fc8579..56b156bb3 100644
--- a/deploy/docker/static/playground/index.html
+++ b/deploy/docker/static/playground/index.html
@@ -620,7 +620,7 @@ 🔥 Stress Test
const endpointMap = {
crawl: '/crawl',
- // crawl_stream: '/crawl/stream',
+ crawl_stream: '/crawl/stream',
md: '/md',
llm: '/llm'
};
@@ -635,12 +635,12 @@ 🔥 Stress Test
const query = document.getElementById('md-query').value.trim();
const cache = document.getElementById('md-cache').value;
- // MD endpoint expects: { url, f, q, c }
+ // MD endpoint expects: { url, filter, query, cache }
payload = {
url: urls[0], // Take first URL
- f: filterType, // Lowercase filter type as required by server
- q: query || null, // Use the query if provided, otherwise null
- c: cache
+ filter: filterType, // Filter type as required by server
+ query: query || null, // Use the query if provided, otherwise null
+ cache: cache
};
} else if (endpoint === 'llm') {
// LLM endpoint has a different URL pattern and uses query params
diff --git a/docker-compose.yml b/docker-compose.yml
index 100d69738..9b5371e2d 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,20 +1,9 @@
-version: '3.8'
-
# Shared configuration for all environments
x-base-config: &base-config
ports:
- - "11235:11235" # Gunicorn port
+ - "${HOST_PORT:-11235}:11235" # Map host port to container port 11235
env_file:
- - .llm.env # API keys (create from .llm.env.example)
- environment:
- - OPENAI_API_KEY=${OPENAI_API_KEY:-}
- - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
- - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
- - GROQ_API_KEY=${GROQ_API_KEY:-}
- - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
- - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
- - GEMINI_API_TOKEN=${GEMINI_API_TOKEN:-}
- - LLM_PROVIDER=${LLM_PROVIDER:-} # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
+ - .env # Runtime config and API keys (create from .env.example)
volumes:
- /dev/shm:/dev/shm # Chromium performance
deploy:
@@ -47,4 +36,4 @@ services:
ENABLE_GPU: ${ENABLE_GPU:-false}
# Inherit shared config
- <<: *base-config
\ No newline at end of file
+ <<: *base-config
diff --git a/docs/md_v2/assets/llm.txt/txt/docker.txt b/docs/md_v2/assets/llm.txt/txt/docker.txt
index 65372fb3d..f08eca6fc 100644
--- a/docs/md_v2/assets/llm.txt/txt/docker.txt
+++ b/docs/md_v2/assets/llm.txt/txt/docker.txt
@@ -161,6 +161,14 @@ response = requests.post("http://localhost:11235/execute_js", json={
]
})
+# Access returned values
+result = response.json()
+if result.get('js_execution_result', {}).get('return_values'):
+ title = result['js_execution_result']['return_values'][0] # document.title
+ links = result['js_execution_result']['return_values'][1] # array of hrefs
+ print(f"Page title: {title}")
+ print(f"Found {len(links)} links")
+
# Markdown generation
response = requests.post("http://localhost:11235/md", json={
"url": "https://example.com",
diff --git a/docs/md_v2/core/docker-deployment.md b/docs/md_v2/core/docker-deployment.md
index 6e9a9704d..9802127a5 100644
--- a/docs/md_v2/core/docker-deployment.md
+++ b/docs/md_v2/core/docker-deployment.md
@@ -385,23 +385,25 @@ Generates a PDF document of the specified URL.
### JavaScript Execution Endpoint
-```
+```http
POST /execute_js
```
-Executes JavaScript snippets on the specified URL and returns the full crawl result.
+Executes JavaScript snippets against a fresh instance of the target page and returns js_execution_result with return_values.
```json
{
"url": "https://example.com",
"scripts": [
- "return document.title",
- "return Array.from(document.querySelectorAll('a')).map(a => a.href)"
+ "(() => { document.body.dataset.demo = 'set'; return true; })()",
+ "(async () => { await new Promise(r => setTimeout(r, 500)); window.snapshot = document.body.dataset.demo; })()"
]
}
```
-- `scripts`: List of JavaScript snippets to execute sequentially
+- `scripts`: List of JavaScript expressions (typically self‑invoking functions) that run sequentially in the page context. There is no `page` handle; use DOM APIs such as `document` or `window`.
+- Returned values are surfaced via `js_execution_result.return_values`. Errors are represented as objects (e.g., with `message`/`stack`) in the corresponding positions.
+- Each request creates a fresh page; run related snippets in a single call.
---
diff --git a/pyproject.toml b/pyproject.toml
index 9b00bd28e..5c64278d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -97,4 +97,27 @@ crawl4ai = { workspace = true }
[dependency-groups]
dev = [
"crawl4ai",
+ "pytest>=7.0",
+ "pytest-asyncio>=0.23.0",
+ "pytest-cov>=4.0.0",
+ "pytest-xdist>=3.0.0",
+ "httpx>=0.27.0", # For test client
]
+
+[tool.pytest.ini_options]
+minversion = "7.0"
+testpaths = ["tests"]
+pythonpath = ["."]
+xfail_strict = true
+markers = [
+ "asyncio: tests using asyncio event loop",
+ "mcp: end-to-end MCP protocol/API tests",
+]
+filterwarnings = [
+ "ignore::DeprecationWarning",
+ "ignore::UserWarning"
+]
+
+[tool.coverage.report]
+skip_covered = true
+skip_empty = true
\ No newline at end of file
diff --git a/tests/docker/test_config_object.py b/tests/docker/test_config_object.py
index 94a30f058..c4e81b25c 100644
--- a/tests/docker/test_config_object.py
+++ b/tests/docker/test_config_object.py
@@ -8,9 +8,8 @@
CacheMode
)
from crawl4ai.deep_crawling import BFSDeepCrawlStrategy
-from crawl4ai.deep_crawling.filters import FastFilterChain
-from crawl4ai.deep_crawling.filters import FastContentTypeFilter, FastDomainFilter
-from crawl4ai.deep_crawling.scorers import FastKeywordRelevanceScorer
+from crawl4ai.deep_crawling.filters import FilterChain, ContentTypeFilter, DomainFilter
+from crawl4ai.deep_crawling.scorers import KeywordRelevanceScorer
def create_test_config() -> CrawlerRunConfig:
# Set up content filtering and markdown generation
@@ -35,12 +34,12 @@ def create_test_config() -> CrawlerRunConfig:
extraction_strategy = JsonCssExtractionStrategy(schema=extraction_schema)
# Set up deep crawling
- filter_chain = FastFilterChain([
- FastContentTypeFilter(["text/html"]),
- FastDomainFilter(blocked_domains=["ads.*"])
+ filter_chain = FilterChain([
+ ContentTypeFilter(allowed_types=["text/html"]),
+ DomainFilter(blocked_domains=["ads.*"])
])
- url_scorer = FastKeywordRelevanceScorer(
+ url_scorer = KeywordRelevanceScorer(
keywords=["article", "blog"],
weight=1.0
)
@@ -104,8 +103,8 @@ def test_config_serialization_cycle():
# Verify deep crawl strategy configuration
assert deserialized_config.deep_crawl_strategy.max_depth == 3
- assert isinstance(deserialized_config.deep_crawl_strategy.filter_chain, FastFilterChain)
- assert isinstance(deserialized_config.deep_crawl_strategy.url_scorer, FastKeywordRelevanceScorer)
+ assert isinstance(deserialized_config.deep_crawl_strategy.filter_chain, FilterChain)
+ assert isinstance(deserialized_config.deep_crawl_strategy.url_scorer, KeywordRelevanceScorer)
print("Serialization cycle test passed successfully!")
diff --git a/tests/mcp/conftest.py b/tests/mcp/conftest.py
new file mode 100644
index 000000000..c9804ac76
--- /dev/null
+++ b/tests/mcp/conftest.py
@@ -0,0 +1,376 @@
+"""MCP test configuration and collection controls.
+
+- Prevent pytest from collecting manual smoke scripts.
+- Provide shared fixtures so E2E tests pick up directory setup/cleanup.
+- Start shared FastAPI+MCP server for all xdist workers on ephemeral port.
+"""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+import contextlib
+import socket
+import time
+from pathlib import Path
+from types import SimpleNamespace
+import logging
+import multiprocessing as mp
+import pytest
+
+# 1) Do not collect manual scripts
+collect_ignore = [
+ "test_mcp_socket.py",
+ "test_mcp_http_listing.py",
+ "test_mcp_js_exec.py",
+ "test_backward_compatibility.py",
+]
+
+
+@pytest.fixture(autouse=True)
+def _mcp_exports_dir_guard():
+ """Ensure export dir exists and gets cleaned between tests.
+
+ Mirrors the behavior previously in test_config.py but applies to all tests
+ in this directory by living in conftest.py.
+ """
+ export_dir = os.environ.get("MCP_EXPORT_DIR", "/tmp/crawl4ai-exports")
+ Path(export_dir).mkdir(parents=True, exist_ok=True)
+ yield
+ # Clean up e2e-*-prefixed artifacts to avoid clutter
+ p = Path(export_dir)
+ if p.exists():
+ for file in p.rglob("e2e-*"):
+ try:
+ file.unlink()
+ except Exception:
+ pass
+
+
+# 2b) Async mode configuration for pytest-asyncio
+# pytest-asyncio uses asyncio by default, no configuration needed
+
+
+# 2c) Ephemeral FastAPI server for REST and MCP
+def _pick_free_port() -> int:
+ with contextlib.closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
+ s.bind(("127.0.0.1", 0))
+ return s.getsockname()[1]
+
+
+def _wait_for_http(url: str, timeout_s: float = 20.0) -> None:
+ try:
+ import httpx
+ except Exception: # pragma: no cover
+ raise RuntimeError("httpx required for E2E tests")
+
+ start = time.time()
+ with httpx.Client(timeout=2.0) as client:
+ while True:
+ try:
+ resp = client.get(f"{url}/mcp/schema")
+ if resp.status_code == 200:
+ return
+ except Exception:
+ pass
+ if time.time() - start > timeout_s:
+ raise TimeoutError(f"Server not reachable at {url}")
+ time.sleep(0.2)
+
+
+def _serve_child(host: str, port: int, verbose: bool) -> None:
+ """Run server in subprocess with coverage tracking."""
+ import os, sys, contextlib, logging as clog
+ from pathlib import Path
+
+ # Ensure project root is in sys.path for child process
+ project_root = Path(__file__).parent.parent.parent
+ if str(project_root) not in sys.path:
+ sys.path.insert(0, str(project_root))
+
+ # Start coverage BEFORE importing any deploy.docker modules
+ try:
+ import coverage
+ cov = coverage.Coverage(data_suffix=True, auto_data=True)
+ cov.start()
+ except ImportError:
+ cov = None
+
+ base_url = f"http://{host}:{port}"
+
+ if not verbose:
+ clog.disable(clog.CRITICAL)
+
+ # Import server modules AFTER coverage starts
+ from uvicorn import Config, Server
+ with open(os.devnull, 'w') as _devnull:
+ with contextlib.redirect_stdout(_devnull), contextlib.redirect_stderr(_devnull):
+ from deploy.docker import server as _srv # type: ignore
+ try:
+ _srv.mcp_service.base_url = base_url
+ if hasattr(_srv, "config") and isinstance(_srv.config, dict):
+ _srv.config.get("app", {}).update({"port": port, "host": host})
+ except Exception:
+ pass
+ from deploy.docker.server import app # type: ignore
+
+ config = Config(app=app, host=host, port=port,
+ log_level="info" if verbose else "critical",
+ access_log=bool(verbose))
+ server = Server(config)
+
+ try:
+ if verbose:
+ server.run()
+ else:
+ with open(os.devnull, 'w') as _devnull2:
+ with contextlib.redirect_stdout(_devnull2), contextlib.redirect_stderr(_devnull2):
+ server.run()
+ finally:
+ # Stop coverage and save data
+ if cov:
+ cov.stop()
+ cov.save()
+
+
+def _start_server_on_master() -> tuple[str, mp.Process] | None:
+ try:
+ from uvicorn import Config, Server
+ except Exception:
+ return None
+
+ verbose = os.getenv("C4AI_E2E_VERBOSE", "0").lower() in ("1", "true", "yes", "debug")
+
+ host = "127.0.0.1"
+ port = _pick_free_port()
+ base_url = f"http://{host}:{port}"
+
+ proc = mp.Process(target=_serve_child, args=(host, port, verbose), name="uvicorn-shared", daemon=True)
+ proc.start()
+
+ try:
+ import time, httpx
+ if not verbose:
+ logging.getLogger("httpx").setLevel(logging.ERROR)
+ for _ in range(50):
+ try:
+ r = httpx.get(f"{base_url}/mcp/schema", timeout=1.0)
+ if r.status_code == 200:
+ break
+ except Exception:
+ pass
+ time.sleep(0.1)
+ except Exception:
+ pass
+
+ desired = {
+ "core.mcp_service": logging.INFO if verbose else logging.WARNING,
+ "mcp.server.streamable_http_manager": logging.INFO if verbose else logging.WARNING,
+ "mcp.server.lowlevel.server": logging.INFO if verbose else logging.WARNING,
+ "mcp.server.streamable_http": logging.INFO if verbose else logging.WARNING,
+ "deploy.docker.server": logging.INFO if verbose else logging.WARNING,
+ "app.api": logging.INFO if verbose else logging.WARNING,
+ "httpx": logging.INFO if verbose else logging.WARNING,
+ "uvicorn": logging.INFO if verbose else logging.ERROR,
+ "core.error_context": logging.ERROR if verbose else logging.CRITICAL,
+ }
+ for name, level in desired.items():
+ try:
+ lg = logging.getLogger(name)
+ lg.setLevel(level)
+ lg.handlers[:] = []
+ lg.propagate = True
+ except Exception:
+ pass
+
+ return base_url, proc
+
+
+@pytest.fixture(scope="session")
+def server_url() -> str:
+ """Session-wide base URL for MCP/REST tests.
+
+ - If MCP_BASE_URL is set (shared server started by master), yield it.
+ - Otherwise, start an ephemeral uvicorn server and yield its base URL.
+ """
+ base = os.environ.get("MCP_BASE_URL")
+ if base:
+ yield base.rstrip("/")
+ return
+
+ try:
+ from uvicorn import Config, Server
+ except Exception as e: # pragma: no cover
+ pytest.skip("uvicorn is required for E2E tests; install it in the venv")
+
+ verbose = os.getenv("C4AI_E2E_VERBOSE", "0").lower() in ("1", "true", "yes", "debug")
+
+ if verbose:
+ from deploy.docker.server import app # type: ignore
+ else:
+ with open(os.devnull, 'w') as _devnull:
+ with contextlib.redirect_stdout(_devnull), contextlib.redirect_stderr(_devnull):
+ from deploy.docker.server import app # type: ignore
+ try:
+ from deploy.docker import server as _srv # type: ignore
+ except Exception:
+ _srv = None
+
+ port = _pick_free_port()
+ host = "127.0.0.1"
+ url = f"http://{host}:{port}"
+
+ config = Config(
+ app=app,
+ host=host,
+ port=port,
+ log_level="info" if verbose else "critical",
+ access_log=bool(verbose),
+ )
+ server = Server(config)
+
+ # Wrap server.run with coverage tracking
+ def _run_with_coverage():
+ try:
+ import coverage
+ cov = coverage.Coverage(data_suffix=True, auto_data=True, concurrency=["thread"])
+ cov.start()
+ except ImportError:
+ cov = None
+
+ try:
+ if verbose:
+ server.run()
+ else:
+ with open(os.devnull, 'w') as _devnull2:
+ with contextlib.redirect_stdout(_devnull2), contextlib.redirect_stderr(_devnull2):
+ server.run()
+ finally:
+ if cov:
+ cov.stop()
+ cov.save()
+
+ t = __import__("threading").Thread(target=_run_with_coverage, name="uvicorn-test-server", daemon=True)
+ t.start()
+
+ _wait_for_http(url)
+ if _srv is not None and getattr(_srv, "mcp_service", None) is not None:
+ try:
+ _srv.mcp_service.base_url = url
+ if hasattr(_srv, "config") and isinstance(_srv.config, dict):
+ _srv.config.get("app", {}).update({"port": port, "host": host})
+ except Exception:
+ pass
+ try:
+ yield url
+ finally:
+ server.should_exit = True
+ t.join(timeout=5)
+
+
+@pytest.fixture(scope="session")
+def mcp_url(server_url: str) -> str:
+ return f"{server_url}/mcp"
+
+
+# 3) Centralized test data fixtures (pythonic and typed)
+
+@dataclass(frozen=True)
+class McpURLs:
+ playground: str
+ playground_index: str
+ example: str
+
+
+@pytest.fixture
+def mcp_urls(server_url: str) -> McpURLs:
+ """Central URLs used by E2E tests, derived from server_url."""
+ return McpURLs(
+ playground=f"{server_url}/playground",
+ playground_index=f"{server_url}/playground/index.html",
+ example="https://example.com",
+ )
+
+
+@pytest.fixture
+def js_snippets() -> dict[str, list[str]]:
+ """Common JS snippets for execute_js tests."""
+ return {
+ "title_only": ["document.title"],
+ "simple_values": [
+ "document.title",
+ "document.body.tagName",
+ ],
+ }
+
+
+@pytest.fixture
+def make_export_path():
+ """Factory to create unique, per-test export paths under the allowed base dir.
+
+ Ensures xdist-safe paths by segregating by worker id and test nodeid.
+ """
+ base_dir = Path(os.environ.get("MCP_EXPORT_DIR", "/tmp/crawl4ai-exports"))
+ worker = os.environ.get("PYTEST_XDIST_WORKER", "gw0")
+
+ def factory(request, filename: str) -> str:
+ safe_nodeid = request.node.nodeid.replace(os.sep, "_").replace("::", "_")
+ dir_path = base_dir / f"pytest-{worker}"
+ dir_path.mkdir(parents=True, exist_ok=True)
+ return str(dir_path / f"e2e-{safe_nodeid}-{filename}")
+
+ return factory
+
+
+# Pytest hooks for xdist coordination
+def pytest_configure(config):
+ if getattr(config, "workerinput", None) is None:
+ pre_base = os.getenv("MCP_BASE_URL")
+ if pre_base:
+ base_url = pre_base.rstrip("/")
+ os.environ["MCP_BASE_URL"] = base_url
+ config._c4ai_base_url = base_url
+ else:
+ started = _start_server_on_master()
+ if started:
+ base_url, proc = started
+ os.environ["MCP_BASE_URL"] = base_url
+ config._c4ai_proc = proc
+ config._c4ai_base_url = base_url
+
+
+def pytest_sessionstart(session):
+ wi = getattr(session.config, "workerinput", None)
+ if wi and "c4ai_base_url" in wi:
+ os.environ["MCP_BASE_URL"] = wi["c4ai_base_url"]
+
+
+def pytest_unconfigure(config):
+ if getattr(config, "workerinput", None) is None:
+ proc = getattr(config, "_c4ai_proc", None)
+ if proc is not None:
+ try:
+ proc.terminate()
+ except Exception:
+ pass
+ try:
+ proc.join(timeout=5)
+ except Exception:
+ pass
+
+
+# xdist-specific hook - conditionally defined
+def pytest_addhooks(pluginmanager):
+ """Dynamically register xdist hooks only if xdist is loaded."""
+ from pytest import hookimpl
+
+ class XDistHooks:
+ @hookimpl
+ def pytest_configure_node(self, node):
+ """xdist hook: pass base_url to workers."""
+ base_url = getattr(node.config, "_c4ai_base_url", None)
+ if base_url:
+ node.workerinput["c4ai_base_url"] = base_url
+
+ if pluginmanager.has_plugin("xdist"):
+ pluginmanager.register(XDistHooks(), "crawl4ai_xdist_hooks")
diff --git a/tests/mcp/test_backward_compatibility.py b/tests/mcp/test_backward_compatibility.py
new file mode 100644
index 000000000..14765dfca
--- /dev/null
+++ b/tests/mcp/test_backward_compatibility.py
@@ -0,0 +1,156 @@
+#!/usr/bin/env python3
+"""
+Test backward compatibility for /md endpoint parameters
+Tests both new (filter/query/cache) and old (f/q/c) parameter formats
+"""
+
+
+import asyncio
+import httpx
+import json
+
+# Test configurations
+BASE_URL = "http://localhost:11235"
+TEST_URL = "https://example.com"
+
+async def test_new_parameters():
+ """Test new parameter format (filter/query/cache in body)"""
+ print("Testing new parameter format...")
+
+ async with httpx.AsyncClient() as client:
+ response = await client.post(
+ f"{BASE_URL}/md",
+ json={
+ "url": TEST_URL,
+ "filter": "raw",
+ "query": "test query",
+ "cache": "123"
+ }
+ )
+
+ if response.status_code == 200:
+ data = response.json()
+ print(f"✓ New format works: filter={data.get('filter')}, query={data.get('query')}, cache={data.get('cache')}")
+ return True
+ else:
+ print(f"✗ New format failed: {response.status_code} - {response.text}")
+ return False
+
+async def test_old_parameters():
+ """Test old parameter format (f/q/c as query params)"""
+ print("Testing old parameter format...")
+
+ async with httpx.AsyncClient() as client:
+ response = await client.post(
+ f"{BASE_URL}/md?f=raw&q=test%20query&c=456",
+ json={
+ "url": TEST_URL
+ }
+ )
+
+ if response.status_code == 200:
+ data = response.json()
+ print(f"✓ Old format works: filter={data.get('filter')}, query={data.get('query')}, cache={data.get('cache')}")
+ return True
+ else:
+ print(f"✗ Old format failed: {response.status_code} - {response.text}")
+ return False
+
+async def test_parameter_precedence():
+ """Test that body parameters take precedence over query parameters"""
+ print("Testing parameter precedence...")
+
+ async with httpx.AsyncClient() as client:
+ response = await client.post(
+ f"{BASE_URL}/md?f=bm25&q=old%20query&c=999",
+ json={
+ "url": TEST_URL,
+ "filter": "raw",
+ "query": "new query",
+ "cache": "123"
+ }
+ )
+
+ if response.status_code == 200:
+ data = response.json()
+ expected_filter = "raw"
+ expected_query = "new query"
+ expected_cache = "123"
+
+ if (data.get('filter') == expected_filter and
+ data.get('query') == expected_query and
+ data.get('cache') == expected_cache):
+ print("✓ Precedence works: body params override query params")
+ return True
+ else:
+ print(f"✗ Precedence failed: got filter={data.get('filter')}, query={data.get('query')}, cache={data.get('cache')}")
+ return False
+ else:
+ print(f"✗ Precedence test failed: {response.status_code} - {response.text}")
+ return False
+
+async def test_default_fallback():
+ """Test that query params are used when body has defaults"""
+ print("Testing default fallback...")
+
+ async with httpx.AsyncClient() as client:
+ response = await client.post(
+ f"{BASE_URL}/md?f=bm25&q=fallback%20query",
+ json={
+ "url": TEST_URL,
+ # Using defaults for filter (fit), query (None), cache (0)
+ }
+ )
+
+ if response.status_code == 200:
+ data = response.json()
+ expected_filter = "bm25"
+ expected_query = "fallback query"
+
+ if (data.get('filter') == expected_filter and
+ data.get('query') == expected_query):
+ print("✓ Default fallback works: query params used when body has defaults")
+ return True
+ else:
+ print(f"✗ Default fallback failed: got filter={data.get('filter')}, query={data.get('query')}")
+ return False
+ else:
+ print(f"✗ Default fallback test failed: {response.status_code} - {response.text}")
+ return False
+
+async def main():
+ """Run all backward compatibility tests"""
+ print("Starting backward compatibility tests for /md endpoint...")
+ print("=" * 60)
+
+ tests = [
+ test_new_parameters,
+ test_old_parameters,
+ test_parameter_precedence,
+ test_default_fallback
+ ]
+
+ results = []
+ for test in tests:
+ try:
+ result = await test()
+ results.append(result)
+ except Exception as e:
+ print(f"✗ Test {test.__name__} errored: {e}")
+ results.append(False)
+ print()
+
+ print("=" * 60)
+ passed = sum(results)
+ total = len(results)
+ print(f"Tests: {passed}/{total} passed")
+
+ if passed == total:
+ print("🎉 All backward compatibility tests passed!")
+ else:
+ print("❌ Some tests failed. Check server logs for details.")
+
+ return passed == total
+
+if __name__ == "__main__":
+ asyncio.run(main())
diff --git a/tests/mcp/test_e2e_api.py b/tests/mcp/test_e2e_api.py
new file mode 100644
index 000000000..2c801ed04
--- /dev/null
+++ b/tests/mcp/test_e2e_api.py
@@ -0,0 +1,524 @@
+#!/usr/bin/env python3
+"""
+E2E API tests for Crawl4AI MCP HTTP endpoints using FastAPI TestClient.
+
+Tests the full FastAPI stack (middleware, routing, endpoints) with coverage.
+Uses TestClient for in-process requests without network overhead.
+"""
+
+import json
+import os
+import pytest
+from pathlib import Path
+from unittest.mock import patch, MagicMock, AsyncMock
+
+try:
+ from fastapi.testclient import TestClient
+ HAVE_TESTCLIENT = True
+except ImportError:
+ HAVE_TESTCLIENT = False
+
+
+@pytest.fixture(scope="module")
+def client():
+ """FastAPI TestClient for in-process API testing."""
+ if not HAVE_TESTCLIENT:
+ pytest.skip("fastapi[test] not installed")
+
+ from deploy.docker.server import app
+ return TestClient(app)
+
+
+@pytest.fixture
+def make_export_path():
+ """Factory for test export paths."""
+ base_dir = Path(os.environ.get("MCP_EXPORT_DIR", "/tmp/crawl4ai-exports"))
+ base_dir.mkdir(parents=True, exist_ok=True)
+
+ def factory(filename: str) -> str:
+ return str(base_dir / f"test-api-{filename}")
+
+ return factory
+
+
+# ---- MCP Schema Tests ------------------------------------------------------
+
+def test_mcp_schema(client):
+ """Test MCP schema endpoint exposes all tools."""
+ response = client.get("/mcp/schema")
+ assert response.status_code == 200
+
+ data = response.json()
+ assert "tools" in data
+ tool_names = {tool["name"] for tool in data["tools"]}
+ expected = {"md", "html", "screenshot", "pdf", "execute_js", "crawl", "ask"}
+ assert expected.issubset(tool_names), f"Missing tools: {expected - tool_names}"
+
+
+# ---- MD Endpoint Tests -----------------------------------------------------
+
+def test_md_raw(client):
+ """Test /md endpoint with raw HTML."""
+ response = client.post("/md", json={
+ "url": "raw:Hello API
Test content
",
+ "filter": "raw",
+ "cache": "0"
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert "markdown" in data
+ assert "Hello API" in data["markdown"]
+
+
+def test_md_filters(client):
+ """Test /md endpoint with different filter types."""
+ filters = [
+ ("raw", None),
+ ("fit", None),
+ ("bm25", "Test")
+ ]
+
+ for filter_type, query in filters:
+ response = client.post("/md", json={
+ "url": "raw:Test
Content
",
+ "filter": filter_type,
+ "query": query,
+ "cache": "0"
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert "markdown" in data
+
+
+def test_md_invalid_url(client):
+ """Test /md endpoint error handling for invalid URL."""
+ response = client.post("/md", json={
+ "url": "not-a-valid-url",
+ "filter": "raw"
+ })
+
+ assert response.status_code in (400, 422)
+
+
+def test_md_query_params(client):
+ """Test /md endpoint preserves request parameters."""
+ response = client.post("/md", json={
+ "url": "raw:Query Test
",
+ "filter": "raw",
+ "query": None,
+ "cache": "1"
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert data.get("cache") == "1"
+
+
+# ---- HTML Endpoint Tests ---------------------------------------------------
+
+def test_html_basic(client):
+ """Test /html endpoint basic functionality."""
+ response = client.post("/html", json={
+ "url": "raw:HTML Test
"
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert "html" in data
+
+
+# ---- Execute JS Endpoint Tests ---------------------------------------------
+
+def test_execute_js_basic(client):
+ """Test /execute_js endpoint with simple script."""
+ response = client.post("/execute_js", json={
+ "url": "raw:JS Test",
+ "scripts": ["document.title"]
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data.get("success") is True
+
+
+def test_execute_js_multiple_scripts(client):
+ """Test /execute_js endpoint with multiple scripts."""
+ scripts = [
+ "document.title",
+ "(function(){ return document.body ? document.body.tagName : 'BODY'; })()",
+ "(async function(){ return 42; })()"
+ ]
+
+ response = client.post("/execute_js", json={
+ "url": "raw:",
+ "scripts": scripts
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data.get("success") is True
+
+
+# ---- Screenshot Endpoint Tests ---------------------------------------------
+
+def test_screenshot_basic(client):
+ """Test /screenshot endpoint basic functionality."""
+ # Use example.com since raw: URLs can't be screenshot
+ response = client.post("/screenshot", json={
+ "url": "https://example.com",
+ "screenshot_wait_for": 0
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert ("path" in data) or ("screenshot" in data)
+
+
+def test_screenshot_wait_times(client):
+ """Test /screenshot endpoint with various wait times."""
+ # Only test valid wait times, use real URL
+ for wait_time in [0, 2]:
+ response = client.post("/screenshot", json={
+ "url": "https://example.com",
+ "screenshot_wait_for": wait_time
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+
+
+def test_screenshot_invalid_path(client):
+ """Test /screenshot endpoint path validation."""
+ response = client.post("/screenshot", json={
+ "url": "https://example.com",
+ "output_path": "/invalid/path/test.png"
+ })
+
+ assert response.status_code == 400
+ data = response.json()
+ # Error might be in error_message or detail
+ error_text = str(data.get("error_message") or data.get("detail") or data)
+ assert "crawl4ai-exports" in error_text
+
+
+# ---- PDF Endpoint Tests ----------------------------------------------------
+
+def test_pdf_basic(client):
+ """Test /pdf endpoint basic functionality."""
+ # Use real URL since raw: can't be PDF'd
+ response = client.post("/pdf", json={
+ "url": "https://example.com"
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert ("pdf" in data) or ("path" in data)
+
+
+def test_pdf_with_output_path(client, make_export_path):
+ """Test /pdf endpoint with file export."""
+ output_path = make_export_path("test.pdf")
+
+ response = client.post("/pdf", json={
+ "url": "https://example.com",
+ "output_path": output_path
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert "path" in data
+
+
+# ---- Crawl Endpoint Tests --------------------------------------------------
+
+def test_crawl_single_url(client):
+ """Test /crawl endpoint with single URL."""
+ response = client.post("/crawl", json={
+ "urls": ["raw:Crawl Test
"]
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert isinstance(data, dict)
+
+
+def test_crawl_empty_urls(client):
+ """Test /crawl endpoint rejects empty URL list."""
+ response = client.post("/crawl", json={
+ "urls": []
+ })
+
+ assert response.status_code == 422
+
+
+def test_crawl_browser_config(client):
+ """Test /crawl endpoint with browser configuration."""
+ response = client.post("/crawl", json={
+ "urls": ["raw:Test
"],
+ "browser_config": {
+ "headless": True,
+ "viewport_width": 1920,
+ "viewport_height": 1080
+ }
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert isinstance(data, dict)
+
+
+def test_crawl_headless_enforcement(client):
+ """Test /crawl endpoint rejects headless=false in Docker."""
+ response = client.post("/crawl", json={
+ "urls": ["raw:Test
"],
+ "browser_config": {"headless": False}
+ })
+
+ assert response.status_code == 400
+ data = response.json()
+ # Check flexible error format
+ error_text = str(data.get("error_message") or data.get("detail") or data).lower()
+ assert "headless" in error_text
+
+
+def test_crawl_output_path_validation(client):
+ """Test /crawl endpoint output_path security validation."""
+ response = client.post("/crawl", json={
+ "urls": ["raw:Test
"],
+ "output_path": "/invalid/path/test.json"
+ })
+
+ assert response.status_code == 400
+ data = response.json()
+ error_text = str(data.get("error_message") or data.get("detail") or data)
+ assert "crawl4ai-exports" in error_text
+
+
+# ---- Ask Endpoint Tests ----------------------------------------------------
+
+def test_ask_context_types(client):
+ """Test /ask endpoint with different context types."""
+ # /ask is a GET endpoint, not POST
+ for context_type in ["doc", "code", "all"]:
+ response = client.get("/ask", params={
+ "context_type": context_type,
+ "query": "crawl"
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+
+ if context_type in ("code", "all"):
+ assert "code_results" in data
+ if context_type in ("doc", "all"):
+ assert "doc_results" in data
+
+
+def test_ask_null_query(client):
+ """Test /ask endpoint with null query returns limited results."""
+ # /ask is a GET endpoint with query params
+ response = client.get("/ask", params={
+ "context_type": "all",
+ "max_results": 50
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+
+ # Should cap results at ~5 per type when no query provided
+ if "code_results" in data:
+ assert len(data["code_results"]) <= 5
+ if "doc_results" in data:
+ assert len(data["doc_results"]) <= 5
+
+
+# ---- Network Error Tests ---------------------------------------------------
+
+def test_network_error_dns_failure(client):
+ """Test DNS failure returns user-friendly error."""
+ response = client.post("/md", json={
+ "url": "http://nonexistent-domain-test-12345.com",
+ "filter": "raw"
+ })
+
+ # Should return error response
+ assert response.status_code >= 400
+ data = response.json()
+ # Error format might vary (success field or detail field)
+ err_msg = str(data.get("error_message") or data.get("detail") or data).lower()
+ assert any(kw in err_msg for kw in ["resolve", "hostname", "dns", "not found", "unable to resolve"])
+
+
+def test_network_error_connection_refused(client):
+ """Test connection refused returns user-friendly error."""
+ response = client.post("/md", json={
+ "url": "http://127.0.0.1:1",
+ "filter": "raw"
+ })
+
+ # Should return error response
+ assert response.status_code >= 400
+ data = response.json()
+ # Error format might vary
+ err_msg = str(data.get("error_message") or data.get("detail") or data).lower()
+ assert any(kw in err_msg for kw in ["connection", "connect", "refused", "down"])
+
+
+# ---- Fallback Mode Tests ---------------------------------------------------
+# Note: Fallback mode (lines 493-517 in api.py) is difficult to test without
+# complex mocking of the crawler pool. The fallback logic triggers when bulk
+# crawl fails and retries per-URL. This would require mocking get_crawler and
+# controlling arun_many vs arun behavior, which is brittle and doesn't add
+# much value since we're testing internal error recovery logic.
+# Instead, we test the limit parameter and error handling which exercises
+# similar code paths.
+
+
+# ---- Error Path Tests ------------------------------------------------------
+
+def test_md_invalid_filter_type(client):
+ """Test /md with invalid filter returns error."""
+ response = client.post("/md", json={
+ "url": "raw:Test
",
+ "filter": "invalid_filter_type"
+ })
+
+ assert response.status_code in (400, 422) # 422 = Pydantic validation error
+ data = response.json()
+ error_text = str(data.get("detail") or data.get("error_message") or data).lower()
+ assert "filter" in error_text or "invalid" in error_text or "enum" in error_text
+
+
+def test_crawl_invalid_browser_config(client):
+ """Test /crawl with malformed browser_config."""
+ response = client.post("/crawl", json={
+ "urls": ["raw:Test
"],
+ "browser_config": {"invalid_field": "should_fail"},
+ "crawler_config": {}
+ })
+
+ # Should handle gracefully - either succeed with defaults or return error
+ assert response.status_code in (200, 400, 422)
+
+
+def test_crawl_invalid_crawler_config(client):
+ """Test /crawl with malformed crawler_config."""
+ response = client.post("/crawl", json={
+ "urls": ["raw:Test
"],
+ "browser_config": {},
+ "crawler_config": {"invalid_field": "should_fail"}
+ })
+
+ # Should handle gracefully
+ assert response.status_code in (200, 400, 422)
+
+
+def test_execute_js_empty_scripts(client):
+ """Test /execute_js with empty scripts array."""
+ response = client.post("/execute_js", json={
+ "url": "raw:Test
",
+ "scripts": []
+ })
+
+ # Should either succeed with no results or return validation error
+ assert response.status_code in (200, 400, 422)
+
+
+def test_execute_js_malformed_script(client):
+ """Test /execute_js captures JavaScript syntax errors in result."""
+ response = client.post("/execute_js", json={
+ "url": "https://example.com",
+ "scripts": ["this is not valid javascript {{{"]
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True # Request succeeds even if JS fails
+
+ # JS execution error should be captured in js_execution_result
+ assert "js_execution_result" in data
+ js_result = data["js_execution_result"]
+
+ # Should have results array with error status
+ assert "results" in js_result
+ # At least one result should indicate failure/error
+ results = js_result["results"]
+ assert len(results) > 0
+ # Error should be recorded (either in result or as error flag)
+ assert any(
+ not r.get("success", True) or "error" in str(r).lower()
+ for r in results
+ )
+
+
+def test_screenshot_negative_wait_time(client, make_export_path):
+ """Test /screenshot treats negative wait time as zero (no wait)."""
+ output_path = make_export_path("negative-wait.png")
+
+ response = client.post("/screenshot", json={
+ "url": "https://example.com",
+ "screenshot_wait_for": -1.0,
+ "output_path": output_path
+ })
+
+ # Negative wait should be treated as 0 and succeed
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+ assert "path" in data or "screenshot" in data
+
+
+def test_pdf_invalid_output_path(client):
+ """Test /pdf with path outside allowed directory."""
+ response = client.post("/pdf", json={
+ "url": "https://example.com",
+ "output_path": "/etc/passwd"
+ })
+
+ assert response.status_code == 400
+ data = response.json()
+ error_text = str(data.get("error_message") or data.get("detail") or data)
+ assert "crawl4ai-exports" in error_text or "not allowed" in error_text.lower()
+
+
+def test_html_basic_error_handling(client):
+ """Test /html with invalid URL."""
+ response = client.post("/html", json={
+ "url": "http://127.0.0.1:1"
+ })
+
+ assert response.status_code >= 400
+ data = response.json()
+ assert "error" in str(data).lower() or "detail" in data
+
+
+def test_crawl_with_output_path_and_limit(client, make_export_path):
+ """Test /crawl exports correctly with limit parameter."""
+ output_path = make_export_path("crawl-with-limit.json")
+
+ response = client.post("/crawl", json={
+ "urls": ["raw:1
", "raw:2
", "raw:3
"],
+ "browser_config": {},
+ "crawler_config": {"limit": 2},
+ "output_path": output_path
+ })
+
+ assert response.status_code == 200
+ data = response.json()
+ assert data["success"] is True
+
+ # Verify file was created and contains limited results
+ if Path(output_path).exists():
+ with open(output_path) as f:
+ exported = json.load(f)
+ assert len(exported.get("results", [])) <= 2
\ No newline at end of file
diff --git a/tests/mcp/test_e2e_mcp.py b/tests/mcp/test_e2e_mcp.py
new file mode 100644
index 000000000..227ade9e5
--- /dev/null
+++ b/tests/mcp/test_e2e_mcp.py
@@ -0,0 +1,111 @@
+#!/usr/bin/env python3
+"""
+MCP protocol tests focusing on MCP-specific functionality.
+
+Tests MCP tool registration, schemas, and protocol compliance.
+Tool execution is covered by test_e2e_api.py (no need to duplicate).
+"""
+
+import json
+import pytest
+import pytest_asyncio
+
+try:
+ from fastmcp import Client as MCPClient
+ HAVE_FASTMCP = True
+except ImportError:
+ HAVE_FASTMCP = False
+
+
+@pytest.fixture(scope="module")
+def mcp_server():
+ """Get FastMCP server instance for protocol testing."""
+ if not HAVE_FASTMCP:
+ pytest.skip("fastmcp not installed")
+
+ from deploy.docker.server import mcp_service
+ return mcp_service.mcp_server
+
+
+@pytest_asyncio.fixture
+async def mcp_client(mcp_server):
+ """Async MCP client using in-memory transport."""
+ async with MCPClient(mcp_server) as client:
+ yield client
+
+
+# ---- MCP Protocol Tests ----------------------------------------------------
+
+@pytest.mark.asyncio
+async def test_mcp_list_tools(mcp_client):
+ """Test MCP server exposes expected tools via protocol."""
+ tools = await mcp_client.list_tools()
+ names = {t.name for t in tools}
+ expected = {"md", "html", "screenshot", "pdf", "execute_js", "crawl", "ask"}
+ assert expected.issubset(names), f"Missing tools: {expected - names}"
+
+
+@pytest.mark.asyncio
+async def test_mcp_tool_schemas(mcp_client):
+ """Test MCP tools have valid schemas."""
+ tools = await mcp_client.list_tools()
+
+ for tool in tools:
+ assert tool.name, f"Tool missing name"
+ assert tool.description, f"Tool {tool.name} missing description"
+ assert tool.inputSchema, f"Tool {tool.name} missing inputSchema"
+ # Verify inputSchema is valid JSON schema
+ assert "type" in tool.inputSchema, f"Tool {tool.name} schema missing type"
+ assert tool.inputSchema["type"] == "object", f"Tool {tool.name} schema type should be object"
+
+
+@pytest.mark.asyncio
+async def test_mcp_tool_parameters(mcp_client):
+ """Test MCP tool schemas have required parameters."""
+ tools = await mcp_client.list_tools()
+ tool_dict = {t.name: t for t in tools}
+
+ # Verify key tools have expected parameters
+ md_tool = tool_dict.get("md")
+ assert md_tool, "md tool not found"
+ assert "properties" in md_tool.inputSchema
+ assert "url" in md_tool.inputSchema["properties"]
+ assert "filter" in md_tool.inputSchema["properties"]
+
+ crawl_tool = tool_dict.get("crawl")
+ assert crawl_tool, "crawl tool not found"
+ assert "properties" in crawl_tool.inputSchema
+ assert "urls" in crawl_tool.inputSchema["properties"]
+
+ ask_tool = tool_dict.get("ask")
+ assert ask_tool, "ask tool not found"
+ assert "properties" in ask_tool.inputSchema
+ assert "context_type" in ask_tool.inputSchema["properties"]
+
+
+@pytest.mark.asyncio
+async def test_mcp_required_parameters(mcp_client):
+ """Test MCP tool schemas properly mark required parameters."""
+ tools = await mcp_client.list_tools()
+ tool_dict = {t.name: t for t in tools}
+
+ # Verify md tool has required url parameter
+ md_tool = tool_dict.get("md")
+ assert md_tool, "md tool not found"
+ url_prop = md_tool.inputSchema["properties"].get("url")
+ assert url_prop, "md tool missing url property"
+ assert url_prop.get("type") == "string", "url should be string type"
+ # url should be required
+ required = md_tool.inputSchema.get("required", [])
+ assert "url" in required, "url should be required parameter"
+
+ # Verify crawl tool has urls parameter as array type
+ crawl_tool = tool_dict.get("crawl")
+ assert crawl_tool, "crawl tool not found"
+ urls_prop = crawl_tool.inputSchema["properties"].get("urls")
+ assert urls_prop, "crawl tool missing urls property"
+ assert urls_prop.get("type") == "array", "urls should be array type"
+ assert urls_prop.get("items"), "urls array should define item type"
+ # urls should be required
+ required = crawl_tool.inputSchema.get("required", [])
+ assert "urls" in required, "urls should be required parameter"
\ No newline at end of file
diff --git a/tests/mcp/test_mcp_http_listing.py b/tests/mcp/test_mcp_http_listing.py
new file mode 100644
index 000000000..3101e3eb8
--- /dev/null
+++ b/tests/mcp/test_mcp_http_listing.py
@@ -0,0 +1,29 @@
+"""Minimal MCP HTTP listing smoke test.
+
+Run with ``python tests/mcp/test_mcp_http_listing.py`` while the server is
+running to verify that the HTTP transport exposes tools and resources.
+"""
+
+
+import os
+
+import anyio
+
+from fastmcp.client import Client
+
+MCP_URL = os.getenv("MCP_URL", f"http://127.0.0.1:{os.getenv('HOST_PORT', '11235')}/mcp")
+
+
+async def main() -> None:
+ async with Client(MCP_URL) as client:
+ tools = await client.list_tools()
+ resources = await client.list_resources()
+ templates = await client.list_resource_templates()
+
+ print("tools :", [tool.name for tool in tools])
+ print("resources :", [resource.name for resource in resources])
+ print("templates :", [template.name for template in templates])
+
+
+if __name__ == "__main__":
+ anyio.run(main)
diff --git a/tests/mcp/test_mcp_js_exec.py b/tests/mcp/test_mcp_js_exec.py
new file mode 100644
index 000000000..2b6768cdc
--- /dev/null
+++ b/tests/mcp/test_mcp_js_exec.py
@@ -0,0 +1,172 @@
+#!/usr/bin/env python3
+"""
+Test script to verify JavaScript execution returns actual values.
+This test can be run against a running Docker server.
+"""
+
+
+import requests
+import json
+import time
+
+def test_js_execution_returns_values():
+ """Test that JavaScript execution returns actual values"""
+
+ # Test with a simple HTML page (using httpbin which returns HTML)
+ url = "https://httpbin.org/html"
+
+ # Scripts that should return actual values
+ scripts = [
+ "return document.title || 'No title found'", # Handle empty title case
+ "return document.querySelectorAll('h1').length",
+ "return Array.from(document.querySelectorAll('p')).map(p => p.textContent.substring(0, 50))",
+ "return 'test string'", # Simple string test
+ "return 42" # Simple number test
+ ]
+
+ response = requests.post("http://localhost:11235/execute_js", json={
+ "url": url,
+ "scripts": scripts
+ })
+
+ if response.status_code != 200:
+ print(f"❌ Request failed with status {response.status_code}")
+ print(f"Response: {response.text}")
+ return False
+
+ result = response.json()
+
+ # Check if js_execution_result exists
+ js_result = result.get('js_execution_result')
+ if not js_result:
+ print("❌ No js_execution_result in response")
+ return False
+
+ # Check if return_values exists (our fix)
+ return_values = js_result.get('return_values')
+ if not return_values:
+ print("❌ No return_values in js_execution_result")
+ print(f"js_execution_result keys: {list(js_result.keys())}")
+ return False
+
+ print("✅ return_values found in response!")
+ print(f"Number of return values: {len(return_values)}")
+
+ # Verify we have the expected number of return values
+ if len(return_values) != len(scripts):
+ print(f"❌ Expected {len(scripts)} return values, got {len(return_values)}")
+ return False
+
+ # Print the actual return values
+ for i, value in enumerate(return_values):
+ print(f"Script {i+1} returned: {repr(value)}")
+
+ # Verify the first script (document.title) returns a string
+ title = return_values[0]
+ if title is None:
+ print("⚠️ Title is None (empty title on this page)")
+ elif not isinstance(title, str):
+ print(f"❌ Expected title to be string, got {type(title)}")
+ return False
+ else:
+ print(f"✅ Page title: '{title}'")
+
+ # Verify the second script (h1 count) returns a number
+ h1_count = return_values[1]
+ if not isinstance(h1_count, (int, float)):
+ print(f"❌ Expected h1_count to be number, got {type(h1_count)}")
+ return False
+
+ print(f"✅ H1 count: {h1_count}")
+
+ # Verify the third script returns an array
+ paragraphs = return_values[2]
+ if not isinstance(paragraphs, list):
+ print(f"❌ Expected paragraphs to be list, got {type(paragraphs)}")
+ return False
+
+ print(f"✅ Found {len(paragraphs)} paragraph excerpts")
+
+ # Verify the fourth script (simple string) returns a string
+ test_str = return_values[3]
+ if test_str != 'test string':
+ print(f"❌ Expected 'test string', got {repr(test_str)}")
+ return False
+
+ print(f"✅ Simple string test: '{test_str}'")
+
+ # Verify the fifth script (simple number) returns a number
+ test_num = return_values[4]
+ if test_num != 42:
+ print(f"❌ Expected 42, got {repr(test_num)}")
+ return False
+
+ print(f"✅ Simple number test: {test_num}")
+
+ print("🎉 All tests passed! JavaScript execution now returns actual values.")
+ return True
+
+def test_error_handling():
+ """Test that errors are still properly handled"""
+
+ scripts = [
+ "return document.title || 'No title found'", # This should work
+ "throw new Error('Test error')", # This should fail
+ "return 'success after error'" # This should still work
+ ]
+
+ response = requests.post("http://localhost:11235/execute_js", json={
+ "url": "https://httpbin.org/html",
+ "scripts": scripts
+ })
+
+ if response.status_code != 200:
+ print(f"❌ Error test request failed with status {response.status_code}")
+ return False
+
+ result = response.json()
+ js_result = result.get('js_execution_result', {})
+ return_values = js_result.get('return_values', [])
+
+ print(f"Error test return values: {return_values}")
+
+ # Should have 3 entries: success, error object, success
+ if len(return_values) != 3:
+ print(f"❌ Expected 3 return values in error test, got {len(return_values)}")
+ return False
+
+ # First should be the title (string)
+ if not isinstance(return_values[0], str):
+ print(f"❌ First value should be title string, got {type(return_values[0])}")
+ return False
+
+ # Second should be an error object
+ if not isinstance(return_values[1], dict) or 'error' not in str(return_values[1]).lower():
+ print(f"❌ Second value should be error object, got {return_values[1]}")
+ return False
+
+ # Third should be success string
+ if return_values[2] != 'success after error':
+ print(f"❌ Third value should be 'success after error', got {return_values[2]}")
+ return False
+
+ print("✅ Error handling test passed!")
+ return True
+
+if __name__ == "__main__":
+ print("Testing JavaScript execution fix...")
+ print("Make sure the Docker server is running on localhost:11235")
+ print()
+
+ # Test basic functionality
+ success1 = test_js_execution_returns_values()
+ print()
+
+ # Test error handling
+ success2 = test_error_handling()
+ print()
+
+ if success1 and success2:
+ print("🎉 All tests passed! The fix is working correctly.")
+ else:
+ print("❌ Some tests failed. Check the output above.")
diff --git a/tests/mcp/test_mcp_socket.py b/tests/mcp/test_mcp_socket.py
index 32456b311..27dad0136 100644
--- a/tests/mcp/test_mcp_socket.py
+++ b/tests/mcp/test_mcp_socket.py
@@ -1,21 +1,34 @@
-# pip install "mcp-sdk[ws]" anyio
-import anyio, json
-from mcp.client.websocket import websocket_client
-from mcp.client.session import ClientSession
+"""Interactive MCP HTTP smoke test.
-async def test_list():
- async with websocket_client("ws://localhost:8020/mcp/ws") as (r, w):
- async with ClientSession(r, w) as s:
- await s.initialize()
+These helper coroutines mirror the legacy WebSocket test but target the
+FastMCP Streamable HTTP transport exposed at ``/mcp``.
+Run with ``python tests/mcp/test_mcp_socket.py`` once the server is up.
+"""
- print("tools :", [t.name for t in (await s.list_tools()).tools])
- print("resources :", [r.name for r in (await s.list_resources()).resources])
- print("templates :", [t.name for t in (await s.list_resource_templates()).resource_templates])
+import json
+import os
+from typing import Iterable
-async def test_crawl(s: ClientSession) -> None:
+import anyio
+
+from fastmcp.client import Client
+
+MCP_URL = os.getenv("MCP_URL", f"http://localhost:{os.getenv('HOST_PORT', '11235')}/mcp")
+
+
+def _first_text_block(content_blocks: Iterable[object]) -> str:
+ """Return the first textual content block emitted by a tool call."""
+ for block in content_blocks:
+ text = getattr(block, "text", None)
+ if isinstance(text, str):
+ return text
+ raise RuntimeError("Tool response did not include textual content")
+
+
+async def test_crawl(client: Client) -> None:
"""Hit the @mcp_tool('crawl') endpoint."""
- res = await s.call_tool(
+ result = await client.call_tool(
"crawl",
{
"urls": ["https://example.com"],
@@ -23,97 +36,106 @@ async def test_crawl(s: ClientSession) -> None:
"crawler_config": {},
},
)
- print("crawl →", json.loads(res.content[0].text))
+ print("crawl →", json.loads(_first_text_block(result.content)))
-async def test_md(s: ClientSession) -> None:
+async def test_md(client: Client) -> None:
"""Hit the @mcp_tool('md') endpoint."""
- res = await s.call_tool(
+ result = await client.call_tool(
"md",
{
"url": "https://example.com",
- "f": "fit", # or RAW, BM25, LLM
- "q": None,
- "c": "0",
+ "filter": "fit", # or raw, bm25, llm
+ "query": None,
+ "cache": "0",
},
)
- result = json.loads(res.content[0].text)
- print("md →", result['markdown'][:100], "...")
+ markdown = json.loads(_first_text_block(result.content))
+ snippet = markdown.get("markdown", "")[:100]
+ print("md →", snippet, "...")
-async def test_screenshot(s: ClientSession):
- res = await s.call_tool(
+
+async def test_screenshot(client: Client) -> None:
+ result = await client.call_tool(
"screenshot",
{
"url": "https://example.com",
"screenshot_wait_for": 1.0,
},
)
- png_b64 = json.loads(res.content[0].text)["screenshot"]
- print("screenshot →", png_b64[:60], "… (base64)")
+ payload = json.loads(_first_text_block(result.content))
+ key = "path" if "path" in payload else "screenshot"
+ value = payload[key]
+ display = value if key == "path" else value[:60] + "… (base64)"
+ print("screenshot →", display)
-async def test_pdf(s: ClientSession):
- res = await s.call_tool(
+async def test_pdf(client: Client) -> None:
+ result = await client.call_tool(
"pdf",
{
"url": "https://example.com",
},
)
- pdf_b64 = json.loads(res.content[0].text)["pdf"]
- print("pdf →", pdf_b64[:60], "… (base64)")
+ payload = json.loads(_first_text_block(result.content))
+ key = "path" if "path" in payload else "pdf"
+ value = payload[key]
+ display = value if key == "path" else value[:60] + "… (base64)"
+ print("pdf →", display)
+
-async def test_execute_js(s: ClientSession):
- # click the “More” link on Hacker News front page and wait 1 s
- res = await s.call_tool(
+async def test_execute_js(client: Client) -> None:
+ result = await client.call_tool(
"execute_js",
{
"url": "https://news.ycombinator.com/news",
- "js_code": [
+ "scripts": [
"await page.click('a.morelink')",
"await page.waitForTimeout(1000)",
],
},
)
- crawl_result = json.loads(res.content[0].text)
- print("execute_js → status", crawl_result["success"], "| html len:", len(crawl_result["html"]))
-
-async def test_html(s: ClientSession):
- # click the “More” link on Hacker News front page and wait 1 s
- res = await s.call_tool(
+ crawl_result = json.loads(_first_text_block(result.content))
+ print("execute_js → status", crawl_result.get("success"), "| html len:", len(crawl_result.get("html", "")))
+
+
+async def test_html(client: Client) -> None:
+ result = await client.call_tool(
"html",
{
"url": "https://news.ycombinator.com/news",
},
)
- crawl_result = json.loads(res.content[0].text)
- print("execute_js → status", crawl_result["success"], "| html len:", len(crawl_result["html"]))
-
-async def test_context(s: ClientSession):
- # click the “More” link on Hacker News front page and wait 1 s
- res = await s.call_tool(
+ crawl_result = json.loads(_first_text_block(result.content))
+ print("html → status", crawl_result.get("success"), "| html len:", len(crawl_result.get("html", "")))
+
+
+async def test_context(client: Client) -> None:
+ result = await client.call_tool(
"ask",
{
- "query": "I hv a question about Crawl4ai library, how to extract internal links when crawling a page?"
+ "query": "How do I extract internal links when crawling a page?",
+ "context_type": "code",
+ "score_ratio": 0.4,
},
)
- crawl_result = json.loads(res.content[0].text)
- print("execute_js → status", crawl_result["success"], "| html len:", len(crawl_result["html"]))
+ context_result = json.loads(_first_text_block(result.content))
+ print("ask → keys", list(context_result.keys()))
async def main() -> None:
- async with websocket_client("ws://localhost:11235/mcp/ws") as (r, w):
- async with ClientSession(r, w) as s:
- await s.initialize() # handshake
- tools = (await s.list_tools()).tools
- print("tools:", [t.name for t in tools])
-
- # await test_list()
- await test_crawl(s)
- await test_md(s)
- await test_screenshot(s)
- await test_pdf(s)
- await test_execute_js(s)
- await test_html(s)
- await test_context(s)
-
-anyio.run(main)
+ async with Client(MCP_URL) as client:
+ tools = await client.list_tools()
+ print("tools:", [t.name for t in tools])
+
+ await test_crawl(client)
+ await test_md(client)
+ await test_screenshot(client)
+ await test_pdf(client)
+ await test_execute_js(client)
+ await test_html(client)
+ await test_context(client)
+
+
+if __name__ == "__main__":
+ anyio.run(main)
diff --git a/tests/mcp/test_mcp_sse.py b/tests/mcp/test_mcp_sse.py
deleted file mode 100644
index d9eee5574..000000000
--- a/tests/mcp/test_mcp_sse.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from mcp.client.sse import sse_client
-from mcp.client.session import ClientSession
-
-async def main():
- async with sse_client("http://127.0.0.1:8020/mcp") as (r, w):
- async with ClientSession(r, w) as sess:
- print(await sess.list_tools()) # now works
-
-if __name__ == "__main__":
- import asyncio
- asyncio.run(main())
diff --git a/uv.lock b/uv.lock
index 19c7314c6..2eee5c583 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
version = 1
+revision = 3
requires-python = ">=3.9"
resolution-markers = [
"python_full_version < '3.12'",
@@ -9,18 +10,18 @@ resolution-markers = [
name = "aiofiles"
version = "24.1.0"
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+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
wheels = [
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+ { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
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name = "aiohappyeyeballs"
version = "2.6.1"
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wheels = [
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+ { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
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{ name = "propcache" },
{ name = "yarl" },
]
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]
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source = { editable = "." }
dependencies = [
{ name = "aiofiles" },
{ name = "aiohttp" },
{ name = "aiosqlite" },
{ name = "alphashape" },
+ { name = "anyio" },
{ name = "beautifulsoup4" },
{ name = "brotli" },
{ name = "chardet" },
{ name = "click" },
- { name = "cssselect" },
{ name = "fake-useragent" },
{ name = "httpx", extra = ["http2"] },
{ name = "humanize" },
@@ -527,17 +652,17 @@ dependencies = [
{ name = "lxml" },
{ name = "nltk" },
{ name = "numpy" },
+ { name = "patchright" },
{ name = "pillow" },
{ name = "playwright" },
{ name = "psutil" },
{ name = "pydantic" },
{ name = "pyopenssl" },
- { name = "pyperclip" },
{ name = "python-dotenv" },
+ { name = "pyyaml" },
{ name = "rank-bm25" },
{ name = "requests" },
{ name = "rich" },
- { name = "sentence-transformers" },
{ name = "shapely" },
{ name = "snowballstemmer" },
{ name = "tf-playwright-stealth" },
@@ -550,12 +675,14 @@ all = [
{ name = "pypdf2" },
{ name = "scikit-learn" },
{ name = "selenium" },
+ { name = "sentence-transformers" },
{ name = "tokenizers" },
{ name = "torch" },
{ name = "transformers" },
]
cosine = [
{ name = "nltk" },
+ { name = "sentence-transformers" },
{ name = "torch" },
{ name = "transformers" },
]
@@ -571,22 +698,32 @@ torch = [
{ name = "torch" },
]
transformer = [
+ { name = "sentence-transformers" },
{ name = "tokenizers" },
{ name = "transformers" },
]
+[package.dev-dependencies]
+dev = [
+ { name = "crawl4ai" },
+ { name = "httpx" },
+ { name = "pytest" },
+ { name = "pytest-asyncio" },
+ { name = "pytest-cov" },
+ { name = "pytest-xdist" },
+]
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{ name = "aiosqlite", specifier = "~=0.20" },
{ name = "alphashape", specifier = ">=1.3.1" },
+ { name = "anyio", specifier = ">=4.0.0" },
{ name = "beautifulsoup4", specifier = "~=4.12" },
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{ name = "nltk", marker = "extra == 'torch'" },
{ name = "numpy", specifier = ">=1.26.0,<3" },
- { name = "pillow", specifier = "~=10.4" },
- { name = "playwright" },
+ { name = "patchright", specifier = ">=1.49.0" },
+ { name = "pillow", specifier = ">=10.4" },
{ name = "playwright", specifier = ">=1.49.0" },
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{ name = "python-dotenv", specifier = "~=1.0" },
+ { name = "pyyaml", specifier = ">=6.0" },
{ name = "rank-bm25", specifier = "~=0.2" },
{ name = "requests", specifier = "~=2.26" },
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{ name = "selenium", marker = "extra == 'all'" },
{ name = "selenium", marker = "extra == 'sync'" },
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{ name = "snowballstemmer", specifier = "~=2.2" },
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{ name = "transformers", marker = "extra == 'transformer'" },
{ name = "xxhash", specifier = "~=3.4" },
]
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+ { name = "pytest-cov", specifier = ">=4.0.0" },
+ { name = "pytest-xdist", specifier = ">=3.0.0" },
+]
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