This commit is contained in:
Nicolas 2024-08-27 11:58:42 -03:00
parent d30119707f
commit 170a8ebfe5
10 changed files with 2 additions and 496 deletions

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@ -7,16 +7,14 @@ import { mapController } from "../controllers/v1/map";
import { ErrorResponse, RequestWithAuth, RequestWithMaybeAuth } from "../controllers/v1/types";
import { RateLimiterMode } from "../types";
import { authenticateUser } from "../controllers/auth";
import { Logger } from "../lib/logger";
import { createIdempotencyKey } from "../services/idempotency/create";
import { validateIdempotencyKey } from "../services/idempotency/validate";
import { ZodError } from "zod";
import { checkTeamCredits } from "../services/billing/credit_billing";
import { v4 as uuidv4 } from "uuid";
import expressWs from "express-ws";
import { crawlStatusWSController } from "../controllers/v1/crawl-status-ws";
import { isUrlBlocked } from "../scraper/WebScraper/utils/blocklist";
import { crawlCancelController } from "../controllers/v1/crawl-cancel";
import { Logger } from "../lib/logger";
// import { crawlPreviewController } from "../../src/controllers/v1/crawlPreview";
// import { crawlJobStatusPreviewController } from "../../src/controllers/v1/status";
// import { searchController } from "../../src/controllers/v1/search";
@ -33,6 +31,7 @@ function checkCreditsMiddleware(minimum?: number): (req: RequestWithAuth, res: R
}
const { success, message, remainingCredits } = await checkTeamCredits(req.auth.team_id, minimum);
if (!success) {
Logger.error(`Insufficient credits: ${JSON.stringify({ team_id: req.auth.team_id, minimum, remainingCredits })}`);
return res.status(402).json({ success: false, error: "Insufficient credits" });
}
req.account = { remainingCredits }

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@ -1 +0,0 @@
from .firecrawl import FirecrawlApp

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@ -1,299 +0,0 @@
"""
FirecrawlApp Module
This module provides a class `FirecrawlApp` for interacting with the Firecrawl API.
It includes methods to scrape URLs, perform searches, initiate and monitor crawl jobs,
and check the status of these jobs. The module uses requests for HTTP communication
and handles retries for certain HTTP status codes.
Classes:
- FirecrawlApp: Main class for interacting with the Firecrawl API.
"""
import os
import time
from typing import Any, Dict, Optional
import requests
class FirecrawlApp:
"""
Initialize the FirecrawlApp instance.
Args:
api_key (Optional[str]): API key for authenticating with the Firecrawl API.
api_url (Optional[str]): Base URL for the Firecrawl API.
"""
def __init__(self, api_key: Optional[str] = None, api_url: Optional[str] = None) -> None:
self.api_key = api_key or os.getenv('FIRECRAWL_API_KEY')
if self.api_key is None:
raise ValueError('No API key provided')
self.api_url = api_url or os.getenv('FIRECRAWL_API_URL', 'https://api.firecrawl.dev')
def scrape_url(self, url: str, params: Optional[Dict[str, Any]] = None) -> Any:
"""
Scrape the specified URL using the Firecrawl API.
Args:
url (str): The URL to scrape.
params (Optional[Dict[str, Any]]): Additional parameters for the scrape request.
Returns:
Any: The scraped data if the request is successful.
Raises:
Exception: If the scrape request fails.
"""
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {self.api_key}'
}
# Prepare the base scrape parameters with the URL
scrape_params = {'url': url}
# If there are additional params, process them
if params:
# Initialize extractorOptions if present
extractor_options = params.get('extractorOptions', {})
# Check and convert the extractionSchema if it's a Pydantic model
if 'extractionSchema' in extractor_options:
if hasattr(extractor_options['extractionSchema'], 'schema'):
extractor_options['extractionSchema'] = extractor_options['extractionSchema'].schema()
# Ensure 'mode' is set, defaulting to 'llm-extraction' if not explicitly provided
extractor_options['mode'] = extractor_options.get('mode', 'llm-extraction')
# Update the scrape_params with the processed extractorOptions
scrape_params['extractorOptions'] = extractor_options
# Include any other params directly at the top level of scrape_params
for key, value in params.items():
if key != 'extractorOptions':
scrape_params[key] = value
# Make the POST request with the prepared headers and JSON data
response = requests.post(
f'{self.api_url}/v0/scrape',
headers=headers,
json=scrape_params,
)
if response.status_code == 200:
response = response.json()
if response['success'] and 'data' in response:
return response['data']
else:
raise Exception(f'Failed to scrape URL. Error: {response["error"]}')
elif response.status_code in [402, 408, 409, 500]:
error_message = response.json().get('error', 'Unknown error occurred')
raise Exception(f'Failed to scrape URL. Status code: {response.status_code}. Error: {error_message}')
else:
raise Exception(f'Failed to scrape URL. Status code: {response.status_code}')
def search(self, query, params=None):
"""
Perform a search using the Firecrawl API.
Args:
query (str): The search query.
params (Optional[Dict[str, Any]]): Additional parameters for the search request.
Returns:
Any: The search results if the request is successful.
Raises:
Exception: If the search request fails.
"""
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {self.api_key}'
}
json_data = {'query': query}
if params:
json_data.update(params)
response = requests.post(
f'{self.api_url}/v0/search',
headers=headers,
json=json_data
)
if response.status_code == 200:
response = response.json()
if response['success'] and 'data' in response:
return response['data']
else:
raise Exception(f'Failed to search. Error: {response["error"]}')
elif response.status_code in [402, 409, 500]:
error_message = response.json().get('error', 'Unknown error occurred')
raise Exception(f'Failed to search. Status code: {response.status_code}. Error: {error_message}')
else:
raise Exception(f'Failed to search. Status code: {response.status_code}')
def crawl_url(self, url, params=None, wait_until_done=True, timeout=2, idempotency_key=None):
"""
Initiate a crawl job for the specified URL using the Firecrawl API.
Args:
url (str): The URL to crawl.
params (Optional[Dict[str, Any]]): Additional parameters for the crawl request.
wait_until_done (bool): Whether to wait until the crawl job is completed.
timeout (int): Timeout between status checks when waiting for job completion.
idempotency_key (Optional[str]): A unique uuid key to ensure idempotency of requests.
Returns:
Any: The crawl job ID or the crawl results if waiting until completion.
Raises:
Exception: If the crawl job initiation or monitoring fails.
"""
headers = self._prepare_headers(idempotency_key)
json_data = {'url': url}
if params:
json_data.update(params)
response = self._post_request(f'{self.api_url}/v0/crawl', json_data, headers)
if response.status_code == 200:
job_id = response.json().get('jobId')
if wait_until_done:
return self._monitor_job_status(job_id, headers, timeout)
else:
return {'jobId': job_id}
else:
self._handle_error(response, 'start crawl job')
def check_crawl_status(self, job_id):
"""
Check the status of a crawl job using the Firecrawl API.
Args:
job_id (str): The ID of the crawl job.
Returns:
Any: The status of the crawl job.
Raises:
Exception: If the status check request fails.
"""
headers = self._prepare_headers()
response = self._get_request(f'{self.api_url}/v0/crawl/status/{job_id}', headers)
if response.status_code == 200:
return response.json()
else:
self._handle_error(response, 'check crawl status')
def _prepare_headers(self, idempotency_key=None):
"""
Prepare the headers for API requests.
Args:
idempotency_key (Optional[str]): A unique key to ensure idempotency of requests.
Returns:
Dict[str, str]: The headers including content type, authorization, and optionally idempotency key.
"""
if idempotency_key:
return {
'Content-Type': 'application/json',
'Authorization': f'Bearer {self.api_key}',
'x-idempotency-key': idempotency_key
}
return {
'Content-Type': 'application/json',
'Authorization': f'Bearer {self.api_key}',
}
def _post_request(self, url, data, headers, retries=3, backoff_factor=0.5):
"""
Make a POST request with retries.
Args:
url (str): The URL to send the POST request to.
data (Dict[str, Any]): The JSON data to include in the POST request.
headers (Dict[str, str]): The headers to include in the POST request.
retries (int): Number of retries for the request.
backoff_factor (float): Backoff factor for retries.
Returns:
requests.Response: The response from the POST request.
Raises:
requests.RequestException: If the request fails after the specified retries.
"""
for attempt in range(retries):
response = requests.post(url, headers=headers, json=data)
if response.status_code == 502:
time.sleep(backoff_factor * (2 ** attempt))
else:
return response
return response
def _get_request(self, url, headers, retries=3, backoff_factor=0.5):
"""
Make a GET request with retries.
Args:
url (str): The URL to send the GET request to.
headers (Dict[str, str]): The headers to include in the GET request.
retries (int): Number of retries for the request.
backoff_factor (float): Backoff factor for retries.
Returns:
requests.Response: The response from the GET request.
Raises:
requests.RequestException: If the request fails after the specified retries.
"""
for attempt in range(retries):
response = requests.get(url, headers=headers)
if response.status_code == 502:
time.sleep(backoff_factor * (2 ** attempt))
else:
return response
return response
def _monitor_job_status(self, job_id, headers, timeout):
"""
Monitor the status of a crawl job until completion.
Args:
job_id (str): The ID of the crawl job.
headers (Dict[str, str]): The headers to include in the status check requests.
timeout (int): Timeout between status checks.
Returns:
Any: The crawl results if the job is completed successfully.
Raises:
Exception: If the job fails or an error occurs during status checks.
"""
while True:
status_response = self._get_request(f'{self.api_url}/v0/crawl/status/{job_id}', headers)
if status_response.status_code == 200:
status_data = status_response.json()
if status_data['status'] == 'completed':
if 'data' in status_data:
return status_data['data']
else:
raise Exception('Crawl job completed but no data was returned')
elif status_data['status'] in ['active', 'paused', 'pending', 'queued', 'waiting']:
timeout=max(timeout,2)
time.sleep(timeout) # Wait for the specified timeout before checking again
else:
raise Exception(f'Crawl job failed or was stopped. Status: {status_data["status"]}')
else:
self._handle_error(status_response, 'check crawl status')
def _handle_error(self, response, action):
"""
Handle errors from API responses.
Args:
response (requests.Response): The response object from the API request.
action (str): Description of the action that was being performed.
Raises:
Exception: An exception with a message containing the status code and error details from the response.
"""
if response.status_code in [402, 408, 409, 500]:
error_message = response.json().get('error', 'Unknown error occurred')
raise Exception(f'Failed to {action}. Status code: {response.status_code}. Error: {error_message}')
else:
raise Exception(f'Unexpected error occurred while trying to {action}. Status code: {response.status_code}')

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@ -1,179 +0,0 @@
Metadata-Version: 2.1
Name: firecrawl-py
Version: 0.0.12
Summary: Python SDK for Firecrawl API
Home-page: https://github.com/mendableai/firecrawl
Author: Mendable.ai
Author-email: nick@mendable.ai
License: GNU General Public License v3 (GPLv3)
Project-URL: Documentation, https://docs.firecrawl.dev
Project-URL: Source, https://github.com/mendableai/firecrawl
Project-URL: Tracker, https://github.com/mendableai/firecrawl/issues
Keywords: SDK API firecrawl
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Internet
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Indexing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
# Firecrawl Python SDK
The Firecrawl Python SDK is a library that allows you to easily scrape and crawl websites, and output the data in a format ready for use with language models (LLMs). It provides a simple and intuitive interface for interacting with the Firecrawl API.
## Installation
To install the Firecrawl Python SDK, you can use pip:
```bash
pip install firecrawl-py
```
## Usage
1. Get an API key from [firecrawl.dev](https://firecrawl.dev)
2. Set the API key as an environment variable named `FIRECRAWL_API_KEY` or pass it as a parameter to the `FirecrawlApp` class.
Here's an example of how to use the SDK:
```python
from firecrawl import FirecrawlApp
# Initialize the FirecrawlApp with your API key
app = FirecrawlApp(api_key='your_api_key')
# Scrape a single URL
url = 'https://mendable.ai'
scraped_data = app.scrape_url(url)
# Crawl a website
crawl_url = 'https://mendable.ai'
params = {
'pageOptions': {
'onlyMainContent': True
}
}
crawl_result = app.crawl_url(crawl_url, params=params)
```
### Scraping a URL
To scrape a single URL, use the `scrape_url` method. It takes the URL as a parameter and returns the scraped data as a dictionary.
```python
url = 'https://example.com'
scraped_data = app.scrape_url(url)
```
### Extracting structured data from a URL
With LLM extraction, you can easily extract structured data from any URL. We support pydantic schemas to make it easier for you too. Here is how you to use it:
```python
class ArticleSchema(BaseModel):
title: str
points: int
by: str
commentsURL: str
class TopArticlesSchema(BaseModel):
top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")
data = app.scrape_url('https://news.ycombinator.com', {
'extractorOptions': {
'extractionSchema': TopArticlesSchema.model_json_schema(),
'mode': 'llm-extraction'
},
'pageOptions':{
'onlyMainContent': True
}
})
print(data["llm_extraction"])
```
### Search for a query
Used to search the web, get the most relevant results, scrap each page and return the markdown.
```python
query = 'what is mendable?'
search_result = app.search(query)
```
### Crawling a Website
To crawl a website, use the `crawl_url` method. It takes the starting URL and optional parameters as arguments. The `params` argument allows you to specify additional options for the crawl job, such as the maximum number of pages to crawl, allowed domains, and the output format.
The `wait_until_done` parameter determines whether the method should wait for the crawl job to complete before returning the result. If set to `True`, the method will periodically check the status of the crawl job until it is completed or the specified `timeout` (in seconds) is reached. If set to `False`, the method will return immediately with the job ID, and you can manually check the status of the crawl job using the `check_crawl_status` method.
```python
crawl_url = 'https://example.com'
params = {
'crawlerOptions': {
'excludes': ['blog/*'],
'includes': [], # leave empty for all pages
'limit': 1000,
},
'pageOptions': {
'onlyMainContent': True
}
}
crawl_result = app.crawl_url(crawl_url, params=params, wait_until_done=True, timeout=5)
```
If `wait_until_done` is set to `True`, the `crawl_url` method will return the crawl result once the job is completed. If the job fails or is stopped, an exception will be raised.
### Checking Crawl Status
To check the status of a crawl job, use the `check_crawl_status` method. It takes the job ID as a parameter and returns the current status of the crawl job.
```python
job_id = crawl_result['jobId']
status = app.check_crawl_status(job_id)
```
## Error Handling
The SDK handles errors returned by the Firecrawl API and raises appropriate exceptions. If an error occurs during a request, an exception will be raised with a descriptive error message.
## Running the Tests with Pytest
To ensure the functionality of the Firecrawl Python SDK, we have included end-to-end tests using `pytest`. These tests cover various aspects of the SDK, including URL scraping, web searching, and website crawling.
### Running the Tests
To run the tests, execute the following commands:
Install pytest:
```bash
pip install pytest
```
Run:
```bash
pytest firecrawl/__tests__/e2e_withAuth/test.py
```
## Contributing
Contributions to the Firecrawl Python SDK are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the GitHub repository.
## License
The Firecrawl Python SDK is open-source and released under the [MIT License](https://opensource.org/licenses/MIT).

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README.md
setup.py
firecrawl/__init__.py
firecrawl/firecrawl.py
firecrawl_py.egg-info/PKG-INFO
firecrawl_py.egg-info/SOURCES.txt
firecrawl_py.egg-info/dependency_links.txt
firecrawl_py.egg-info/requires.txt
firecrawl_py.egg-info/top_level.txt

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requests
pytest
python-dotenv

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firecrawl