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# import json
# import os
# import requests
# from crewai.tools import tool
# from dotenv import load_dotenv
# # Load environment variables
# load_dotenv()
# def safe_format_with_indicators(text):
# """Replace emojis with text indicators"""
# if not isinstance(text, str):
# text = str(text)
# emoji_replacements = {
# '🔋': '[BATTERY]',
# '✅': '[SUCCESS]',
# '❌': '[ERROR]',
# '📄': '[DOCUMENT]',
# '📊': '[CHART]',
# '⚠️': '[WARNING]',
# '🔍': '[SEARCH]',
# '💡': '[INSIGHT]',
# '🎯': '[TARGET]',
# '✨': '[HIGHLIGHT]',
# '🚀': '[LAUNCH]',
# '📈': '[GROWTH]',
# '📉': '[DECLINE]',
# '🔧': '[TOOL]',
# '💻': '[CODE]',
# '🌟': '[STAR]',
# '🎨': '[DESIGN]',
# '📱': '[MOBILE]',
# '🖥️': '[DESKTOP]',
# '🔗': '[LINK]',
# '📝': '[NOTE]',
# '🏆': '[ACHIEVEMENT]',
# '💰': '[MONEY]',
# '🎉': '[CELEBRATION]',
# '🔒': '[SECURE]',
# '🔓': '[UNLOCKED]',
# '⭐': '[RATING]',
# '❤️': '[FAVORITE]',
# '👍': '[THUMBS_UP]',
# '👎': '[THUMBS_DOWN]',
# '🔥': '[HOT]',
# '❄️': '[COLD]',
# '🌡️': '[TEMPERATURE]'
# }
# for emoji, replacement in emoji_replacements.items():
# text = text.replace(emoji, replacement)
# return text
# def format_api_response(response_data):
# """
# Format API response and replace emojis with safe indicators.
# Args:
# response_data: Raw API response (dict, str, or other)
# Returns:
# str: Formatted response with safe emoji replacements
# """
# try:
# if isinstance(response_data, dict):
# # Convert dict to readable format
# formatted_parts = []
# for key, value in response_data.items():
# if isinstance(value, (str, int, float)):
# safe_value = safe_format_with_indicators(str(value))
# formatted_parts.append(f"{key}: {safe_value}")
# elif isinstance(value, list):
# safe_items = [safe_format_with_indicators(str(item)) for item in value]
# formatted_parts.append(f"{key}: {', '.join(safe_items)}")
# elif isinstance(value, dict):
# # Handle nested dictionaries
# nested_items = []
# for nested_key, nested_value in value.items():
# safe_nested = safe_format_with_indicators(str(nested_value))
# nested_items.append(f"{nested_key}: {safe_nested}")
# formatted_parts.append(f"{key}: {'; '.join(nested_items)}")
# result = "\n".join(formatted_parts)
# return safe_format_with_indicators(result)
# else:
# return safe_format_with_indicators(str(response_data))
# except Exception as e:
# error_msg = f"Error formatting response: {str(e)}"
# return safe_format_with_indicators(error_msg)
# @tool("LandingAI Document Analysis")
# def landing_ai_document_analysis(file_path: str, file_type: str = "image") -> str:
# """
# Analyze images or PDFs using LandingAI's document analysis API.
# Args:
# file_path (str): Path to the image or PDF file to analyze
# file_type (str): Type of file, either "image" or "pdf"
# Returns:
# str: Analysis results from the API
# """
# # Get API key from environment variable
# api_key = os.getenv("LANDING_AI_API_KEY")
# # API endpoint
# url = "https://api.va.landing.ai/v1/tools/agentic-document-analysis"
# # Prepare the file for upload based on file_type
# with open(file_path, "rb") as file_obj:
# if file_type.lower() == "pdf":
# files = {"pdf": file_obj}
# else:
# files = {"image": file_obj}
# # Prepare headers with authentication
# headers = {"Authorization": f"Basic {api_key}"}
# # Make the API request
# response = requests.post(url, files=files, headers=headers)
# if response.status_code == 200:
# try:
# response_json = response.json()
# formatted_result = format_api_response(response_json)
# # result += f"🔋 ANALYSIS:\n{formatted_result}"
# return safe_format_with_indicators(formatted_result)
# except json.JSONDecodeError:
# # If response isn't JSON, format the text response
# safe_text = safe_format_with_indicators(response.text)
# return safe_format_with_indicators(safe_text)
# return response.json()
import json
import os
import requests
from crewai.tools import tool
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
def get_landing_ai_api_key():
"""
Get Landing AI API key from environment variables.
Tries multiple sources for compatibility with different deployment environments.
Returns:
str: The API key if found, None otherwise
"""
# Try different environment variable names for flexibility
api_key = (
os.getenv("LANDING_AI_API_KEY") or # HuggingFace secrets or production
os.getenv("LANDING_AI_API_KEY_LOCAL") or # Local development alternative
os.getenv("LANDINGAI_API_KEY") or # Alternative naming
os.getenv("LANDING_API_KEY") # Another alternative
)
return api_key
def safe_format_with_indicators(text):
"""Replace emojis with text indicators"""
if not isinstance(text, str):
text = str(text)
emoji_replacements = {
'🔋': '[BATTERY]',
'✅': '[SUCCESS]',
'❌': '[ERROR]',
'📄': '[DOCUMENT]',
'📊': '[CHART]',
'⚠️': '[WARNING]',
'🔍': '[SEARCH]',
'💡': '[INSIGHT]',
'🎯': '[TARGET]',
'✨': '[HIGHLIGHT]',
'🚀': '[LAUNCH]',
'📈': '[GROWTH]',
'📉': '[DECLINE]',
'🔧': '[TOOL]',
'💻': '[CODE]',
'🌟': '[STAR]',
'🎨': '[DESIGN]',
'📱': '[MOBILE]',
'🖥️': '[DESKTOP]',
'🔗': '[LINK]',
'📝': '[NOTE]',
'🏆': '[ACHIEVEMENT]',
'💰': '[MONEY]',
'🎉': '[CELEBRATION]',
'🔒': '[SECURE]',
'🔓': '[UNLOCKED]',
'⭐': '[RATING]',
'❤️': '[FAVORITE]',
'👍': '[THUMBS_UP]',
'👎': '[THUMBS_DOWN]',
'🔥': '[HOT]',
'❄️': '[COLD]',
'🌡️': '[TEMPERATURE]'
}
for emoji, replacement in emoji_replacements.items():
text = text.replace(emoji, replacement)
return text
def format_api_response(response_data):
"""
Format API response and replace emojis with safe indicators.
Args:
response_data: Raw API response (dict, str, or other)
Returns:
str: Formatted response with safe emoji replacements
"""
try:
if isinstance(response_data, dict):
# Convert dict to readable format
formatted_parts = []
for key, value in response_data.items():
if isinstance(value, (str, int, float)):
safe_value = safe_format_with_indicators(str(value))
formatted_parts.append(f"{key}: {safe_value}")
elif isinstance(value, list):
safe_items = [safe_format_with_indicators(str(item)) for item in value]
formatted_parts.append(f"{key}: {', '.join(safe_items)}")
elif isinstance(value, dict):
# Handle nested dictionaries
nested_items = []
for nested_key, nested_value in value.items():
safe_nested = safe_format_with_indicators(str(nested_value))
nested_items.append(f"{nested_key}: {safe_nested}")
formatted_parts.append(f"{key}: {'; '.join(nested_items)}")
result = "\n".join(formatted_parts)
return safe_format_with_indicators(result)
else:
return safe_format_with_indicators(str(response_data))
except Exception as e:
error_msg = f"Error formatting response: {str(e)}"
return safe_format_with_indicators(error_msg)
@tool("LandingAI Document Analysis")
def landing_ai_document_analysis(file_path: str, file_type: str = "image") -> str:
"""
Analyze images or PDFs using LandingAI's document analysis API.
Args:
file_path (str): Path to the image or PDF file to analyze
file_type (str): Type of file, either "image" or "pdf"
Returns:
str: Analysis results from the API
"""
try:
# Get API key with improved error handling
api_key = get_landing_ai_api_key()
if not api_key:
error_msg = "Landing AI API key not found. Please ensure LANDING_AI_API_KEY is set in environment variables or HuggingFace secrets."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
# Validate file exists
if not os.path.exists(file_path):
error_msg = f"File not found: {file_path}"
return safe_format_with_indicators(f"[ERROR] {error_msg}")
# API endpoint
url = "https://api.va.landing.ai/v1/tools/agentic-document-analysis"
# Prepare the file for upload based on file_type
try:
with open(file_path, "rb") as file_obj:
if file_type.lower() == "pdf":
files = {"pdf": file_obj}
else:
files = {"image": file_obj}
# Prepare headers with authentication
headers = {"Authorization": f"Basic {api_key}"}
# Make the API request with timeout
response = requests.post(
url,
files=files,
headers=headers,
timeout=60 # 60 second timeout
)
# Handle different response status codes
if response.status_code == 200:
try:
response_json = response.json()
formatted_result = format_api_response(response_json)
return safe_format_with_indicators(formatted_result)
except json.JSONDecodeError:
# If response isn't JSON, format the text response
safe_text = safe_format_with_indicators(response.text)
return safe_format_with_indicators(safe_text)
elif response.status_code == 401:
error_msg = "Authentication failed. Please check your Landing AI API key."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
elif response.status_code == 403:
error_msg = "Access forbidden. Your API key may not have the required permissions."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
elif response.status_code == 429:
error_msg = "Rate limit exceeded. Please try again later."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
elif response.status_code == 500:
error_msg = "Server error from Landing AI. Please try again later."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
else:
error_msg = f"API request failed with status code {response.status_code}: {response.text}"
return safe_format_with_indicators(f"[ERROR] {error_msg}")
except FileNotFoundError:
error_msg = f"File not found: {file_path}"
return safe_format_with_indicators(f"[ERROR] {error_msg}")
except requests.exceptions.Timeout:
error_msg = "Request timed out. The file may be too large or the service is slow."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
except requests.exceptions.ConnectionError:
error_msg = "Connection error. Please check your internet connection."
return safe_format_with_indicators(f"[ERROR] {error_msg}")
except requests.exceptions.RequestException as e:
error_msg = f"Request failed: {str(e)}"
return safe_format_with_indicators(f"[ERROR] {error_msg}")
except Exception as e:
error_msg = f"Unexpected error in document analysis: {str(e)}"
return safe_format_with_indicators(f"[ERROR] {error_msg}")
def test_landing_ai_connection():
"""
Test function to verify Landing AI API connection.
This can be called to verify the setup before processing documents.
Returns:
bool: True if API key is available and valid format, False otherwise
"""
api_key = get_landing_ai_api_key()
if not api_key:
print("❌ Landing AI API key not found in environment variables")
print("Available environment variables:")
for key in os.environ.keys():
if 'LANDING' in key.upper() or 'API' in key.upper():
print(f" - {key}: {'SET' if os.environ[key] else 'EMPTY'}")
return False
# Basic format validation (adjust based on Landing AI key format)
if len(api_key) < 10:
print("❌ Landing AI API key appears to be too short")
return False
print("✅ Landing AI API key found and appears valid")
return True
# Test the connection when module is imported (optional)
if __name__ == "__main__":
test_landing_ai_connection() |