vouchervision/API_validation.py

import os, io, openai, vertexai
from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage
from langchain.schema import HumanMessage
from langchain_openai import AzureChatOpenAI
from vertexai.language_models import TextGenerationModel
from vertexai.preview.generative_models import GenerativeModel
from google.cloud import vision
from datetime import datetime



class APIvalidation:

    def __init__(self, cfg_private, dir_home) -> None:
        self.cfg_private = cfg_private
        self.dir_home = dir_home
        self.formatted_date = self.get_formatted_date()

    def get_formatted_date(self):
        # Get the current date
        current_date = datetime.now()

        # Format the date as "Month day, year" (e.g., "January 23, 2024")
        formatted_date = current_date.strftime("%B %d, %Y")

        return formatted_date


    def has_API_key(self, val):
        if val:
            return True
        else:
            return False
            
    def check_openai_api_key(self):
        openai.api_key = self.cfg_private['openai']['OPENAI_API_KEY']
        try:
            openai.models.list()
            return True
        except:
            return False
        
    def check_google_ocr_api_key(self):
        # if os.path.exists(self.cfg_private['google_cloud']['path_json_file']):
        #     os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = self.cfg_private['google_cloud']['path_json_file']
        # elif os.path.exists(self.cfg_private['google_cloud']['path_json_file_service_account2']):
        #     os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = self.cfg_private['google_cloud']['path_json_file_service_account2']
        # else:
        #     return False
        
        try:
            logo_path = os.path.join(self.dir_home, 'img','logo.png')
            client = vision.ImageAnnotatorClient()
            with io.open(logo_path, 'rb') as image_file:
                content = image_file.read()
            image = vision.Image(content=content)
            response = client.document_text_detection(image=image)
            texts = response.text_annotations       
            normal_cleaned_text = texts[0].description if texts else None
            if normal_cleaned_text:
                return True
            else:
                return False
        except:
            return False
        
    def check_azure_openai_api_key(self):
        try:
            # Initialize the Azure OpenAI client
            model = AzureChatOpenAI(
                deployment_name = 'gpt-35-turbo',#'gpt-35-turbo',
                openai_api_version = self.cfg_private['openai_azure']['api_version'],
                openai_api_key = self.cfg_private['openai_azure']['openai_api_key'],
                azure_endpoint = self.cfg_private['openai_azure']['openai_api_base'],
                openai_organization = self.cfg_private['openai_azure']['openai_organization'],
            )
            msg = HumanMessage(content="hello")
            # self.llm_object.temperature = self.config.get('temperature')
            response = model([msg])

            # Check the response content (you might need to adjust this depending on how your AzureChatOpenAI class handles responses)
            if response:
                return True
            else:
                return False

        except Exception as e:  # Use a more specific exception if possible
            return False
        
    def check_mistral_api_key(self):
        try:
            # Initialize the Mistral Client with the API key
            client = MistralClient(api_key=self.cfg_private['mistral']['mistral_key'])

            # Create a simple message
            messages = [ChatMessage(role="user", content="hello")]

            # Send the message and get the response
            chat_response = client.chat(
                model="mistral-tiny",  
                messages=messages,
            )

            # Check if the response is valid (adjust this according to the actual response structure)
            if chat_response and chat_response.choices:
                return True
            else:
                return False
        except Exception as e:  # Replace with a more specific exception if possible
            return False
        
    def check_google_vertex_genai_api_key(self):
        results = {"palm2": False, "gemini": False}
        try:
            # Assuming genai and vertexai are clients for Google services
            os.environ["GOOGLE_API_KEY"] = self.cfg_private['google_palm']['google_palm_api']
            # genai.configure(api_key=self.cfg_private['google_palm']['google_palm_api'])
            vertexai.init(project= self.cfg_private['google_palm']['project_id'], location=self.cfg_private['google_palm']['location'])

            try:
                model = TextGenerationModel.from_pretrained("text-bison@001")
                response = model.predict("Hello")
                test_response_palm = response.text
                # llm_palm = ChatGoogleGenerativeAI(model="text-bison@001")
                # test_response_palm = llm_palm.invoke("Hello")
                if test_response_palm:
                    results["palm2"] = True
            except Exception as e:  
                pass

            try:
                model = GenerativeModel("gemini-pro")
                response = model.generate_content("Hello")
                test_response_gemini = response.text
                # llm_gemini = ChatGoogleGenerativeAI(model="gemini-pro")
                # test_response_gemini = llm_gemini.invoke("Hello")
                if test_response_gemini:
                    results["gemini"] = True
            except Exception as e:  
                pass

            return results
        except Exception as e:  # Replace with a more specific exception if possible
            return results
            

    def report_api_key_status(self):
        missing_keys = []
        present_keys = []

        # Check each key and add to the respective list
        # OpenAI key check
        if self.has_API_key(self.cfg_private['openai']['OPENAI_API_KEY']):
            is_valid = self.check_openai_api_key()
            if is_valid:
                present_keys.append('OpenAI (Valid)')
            else:
                present_keys.append('OpenAI (Invalid)')
        else:
            missing_keys.append('OpenAI')

        # Azure OpenAI key check
        if self.has_API_key(self.cfg_private['openai_azure']['api_version']):
            is_valid = self.check_azure_openai_api_key()
            if is_valid:
                present_keys.append('Azure OpenAI (Valid)')
            else:
                present_keys.append('Azure OpenAI (Invalid)')
        else:
            missing_keys.append('Azure OpenAI')

        # Google PALM2/Gemini key check
        if self.has_API_key(self.cfg_private['google_palm']['google_palm_api']) and self.has_API_key(self.cfg_private['google_palm']['project_id']) and self.has_API_key(self.cfg_private['google_palm']['location']):
            google_results = self.check_google_vertex_genai_api_key()
            if google_results['palm2']:
                present_keys.append('Palm2 (Valid)')
            else:
                present_keys.append('Palm2 (Invalid)')
            if google_results['gemini']:
                present_keys.append('Gemini (Valid)')
            else:
                present_keys.append('Gemini (Invalid)')
        else:
            missing_keys.append('Google VertexAI/GenAI')

        # Google OCR key check
        if self.has_API_key(self.cfg_private['google_palm']['google_palm_api']) and self.has_API_key(self.cfg_private['google_palm']['project_id']) and self.has_API_key(self.cfg_private['google_palm']['location']):
            is_valid = self.check_google_ocr_api_key()
            if is_valid:
                present_keys.append('Google OCR (Valid)')
            else:
                present_keys.append('Google OCR (Invalid)')
        else:
            missing_keys.append('Google OCR')

        # Mistral key check
        if self.has_API_key(self.cfg_private['mistral']['mistral_key']):
            is_valid = self.check_mistral_api_key()
            if is_valid:
                present_keys.append('Mistral (Valid)')
            else:
                present_keys.append('Mistral (Invalid)')
        else:
            missing_keys.append('Mistral')


        if self.has_API_key(self.cfg_private['here']['api_key']):
            present_keys.append('HERE Geocode (Valid)')
        else:
            missing_keys.append('HERE Geocode (Invalid)')

        if self.has_API_key(self.cfg_private['open_cage_geocode']['api_key']):
            present_keys.append('OpenCage Geocode (Valid)')
        else:
            missing_keys.append('OpenCage Geocode (Invalid)')

        # Create a report string
        report = "API Key Status Report:\n"
        report += "Present Keys: " + ", ".join(present_keys) + "\n"
        report += "Missing Keys: " + ", ".join(missing_keys) + "\n"

        # print(report)
        return present_keys, missing_keys, self.formatted_date