app.py

import gradio as gr
import os
import requests
import base64
from io import BytesIO
from PIL import Image
from crewai import Agent, Task, Crew, Process, LLM
from crewai_tools import ScrapeWebsiteTool
from dotenv import load_dotenv
from stealth_scrape_tool import StealthScrapeTool
from image_generator_tool import GenerateImageTool
from utils_tools import CalculateDiscountedPriceTool, CalculateDiscountValueTool, GetImageUrlTool, MerchantSelectorTool


load_dotenv()

class SocialMediaCrew:
    def __init__(self, openai_api_key: str, natura_api_token: str, openai_base_url: str, openai_model_name: str):
        self.openai_api_key = openai_api_key
        self.natura_api_token = natura_api_token
        self.openai_base_url = openai_base_url
        self.openai_model_name = openai_model_name
        self.scrape_tool = ScrapeWebsiteTool()
        self.calculate_discounted_price_tool = CalculateDiscountedPriceTool()
        self.calculate_discount_value_tool = CalculateDiscountValueTool()
        self.image_generator_tool = GenerateImageTool()
        self.merchant_selector_tool = MerchantSelectorTool(natura_api_token=self.natura_api_token)

        print("Initializing SocialMediaCrew with BASE URL:", self.openai_base_url)
        print("Using OpenAI Model:", self.openai_model_name)
        print("Using OpenAI Key:", self.openai_api_key[:10])

        llm = LLM(
            api_key=self.openai_api_key, 
            model=self.openai_model_name, 
            base_url=self.openai_base_url
        )

        self.product_analyst = Agent(
            role='Product Analyst',
            goal='Analyze the provided URL and extract key product information',
            backstory=("You are an expert in analyzing product pages and extracting the most important information. You can identify the product name, its main features, and the target audience."),
            verbose=True,
            tools=[self.scrape_tool, 
                   self.calculate_discounted_price_tool, 
                   self.calculate_discount_value_tool],
            allow_delegation=False,
            llm=llm,
            max_retries=3
        )

        self.social_media_copywriter = Agent(
            role='Social Media Copywriter',
            goal='Create a compelling social media post in Portuguese to sell the product',
            backstory=("You are a creative copywriter specialized in the beauty and fragrance market. You know how to craft posts that are engaging, persuasive, and tailored for a Portuguese-speaking audience. You are an expert in using emojis and hashtags to increase engagement."),
            verbose=True,
            tools=[self.image_generator_tool],
            allow_delegation=False,
            llm=llm,
            max_retries=3
        )

    def _validate_url(self, product_url: str) -> bool:
        headers = {
            "accept": "*/*",
            "accept-language": "pt-BR,pt;q=0.9,en-US;q=0.8,en;q=0.7",
            "sec-ch-ua": '"Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"',
            "sec-ch-ua-mobile": "?0",
            "sec-ch-ua-platform": '"Windows"',
            "sec-fetch-dest": "empty",
            "sec-fetch-mode": "cors",
            "sec-fetch-site": "cross-site",
            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36",
        }
        try:
            response = requests.get(product_url, headers=headers)
            response.raise_for_status()
            if '<template data-dgst="NEXT_NOT_FOUND">' in response.text:
                return False
            return True
        except requests.exceptions.RequestException as e:
            print(f"Error checking URL: {e}")
            return False

    def _prepare_merchant(self, product_url: str):
        merchant = self.merchant_selector_tool.run(product_url)
        css_selector = merchant.get_css_selector()
        short_url = merchant.shorten_url(product_url)
        return merchant, css_selector, short_url

    def _create_analyze_product_task(self, product_url: str, css_selector: str, main_cupom_discount_percentage: float, short_url: str, original_price: float, discounted_price: float) -> Task:
        task_description = (f"1. Scrape the content of the URL: {product_url} using the 'scrape_tool'.\n"
                            "2. Extract the product name, key characteristics, and any other relevant DISCOUNT available.\n")

        if original_price is not None and original_price > 0 and discounted_price is not None and discounted_price > 0:
            task_description += (f"3. The user has provided the prices. Use ORIGINAL PRICE = {original_price} and DISCOUNTED PRICE = {discounted_price}.\n")
            final_best_price_source = str(discounted_price)
        else:
            task_description += ("3. Identify and extract the original product price and the final discounted price if existing from the scraped content. "
                                 "IGNORE any price breakdowns like 'produto' or 'consultoria'.\n")
            final_best_price_source = "the extracted final best price"

        task_description += (f"4. Use the 'Calculate Discounted Price Tool' with {final_best_price_source} and the provided DISCOUNT PERCENTAGE ({main_cupom_discount_percentage}) to get the CUPOM DISCOUNTED PRICE.\n"
                             "4.1 Use the 'Calculate Discount Value Tool' with ORIGINAL PRICE and CUPOM DISCOUNTED PRICE to get the TOTAL DISCOUNT PERCENTAGE.\n" 
                             f"5. Provide all this information, including the product name, ORIGINAL PRICE, DISCOUNTED PRICE (the one from step 3), CUPOM DISCOUNTED PRICE, and the generated short URL ({short_url}). If any of this information cannot be extracted, you MUST return 'MISSING_PRODUCT_INFO'.")

        return Task(
            description=task_description,
            agent=self.product_analyst,
            expected_output="A concise summary of the product including its name, key features, unique selling points, ORIGINAL PRICE, DISCOUNTED PRICE (the one used as the input in the tool 'Calculate Discounted Price Tool'), CUPOM DISCOUNTED PRICE, TOTAL DISCOUNT PERCENTAGE, and the SHORT SHAREABLE URL ({short_url}), OR 'MISSING_PRODUCT_INFO' if essential product details are not found."
        )

    def _create_post_task(self, analyze_product_task: Task, merchant, main_cupom: str, cupom_1: str, store_name: str) -> Task:
        template = merchant.get_template(main_cupom, cupom_1, store=store_name)
        return Task(
            description=(f"Based on the product analysis, create a CONCISE and DIRECT social media post in Portuguese, suitable for a WhatsApp group. \n If the input you receive is 'INVALID_URL' or 'MISSING_PRODUCT_INFO', you MUST stop and output only that same message.\n The post should strictly follow this template:\n {template}\n\nEnsure a URL is always present in the output. Include a clear call to action and a MAXIMUM of 2 relevant emojis. DO NOT include hashtags. Keep it short and impactful and does not forget to include the backticks around the last paragraph.\n\n If the input you receive is 'INVALID_URL', you MUST stop and output only 'INVALID_URL'."),
            agent=self.social_media_copywriter,
            expected_output="A short, direct, and impactful social media post in Portuguese for WhatsApp, strictly following the provided template, including the FINAL PRICE, any DISCOUNT, the SHORT SHAREABLE URL, a call to action, and up to 2 emojis, one in the Title and another in the Description. No hashtags should be present. A URL must always be present in the final output, OR the message 'INVALID_URL' or 'MISSING_PRODUCT_INFO' if the page was not found or product info is missing.",
            context=[analyze_product_task]
        )

    def run_crew(self, product_url: str, store_name: str, main_cupom: str, main_cupom_discount_percentage: float, cupom_1: str, original_price: float, discounted_price: float) -> str:
        if not self._validate_url(product_url):
            return "INVALID_URL"

        merchant, css_selector, short_url = self._prepare_merchant(product_url)
        
        analyze_product_task = self._create_analyze_product_task(product_url, css_selector, main_cupom_discount_percentage, short_url, original_price, discounted_price)
        create_post_task = self._create_post_task(analyze_product_task, merchant, main_cupom, cupom_1, store_name)

        crew = Crew(
            agents=[self.product_analyst, self.social_media_copywriter],
            tasks=[analyze_product_task, create_post_task],
            process=Process.sequential
        )

        print(f"Crew is kicking off for URL: {product_url}")
        result = crew.kickoff()
        return result

def clean_env_vars():
    os.environ.pop("OPENAI_API_KEY", None)
    os.environ.pop("NATURA_API_TOKEN", None)
    os.environ.pop("OPENAI_BASE_URL", None)
    os.environ.pop("OPENAI_MODEL_NAME", None)

js_share_logic = """
async (image_url) => {
    if (!image_url) {
        console.error("Share button clicked, but no image URL found.");
        alert("No image to share. Please generate an image first.");
        return;
    }

    try {
        const response = await fetch(image_url);
        const blob = await response.blob();

        const reader = new FileReader();
        reader.readAsDataURL(blob);
        reader.onloadend = async function() {
            const base64data = reader.result;

            const parts = base64data.split(';base64,');
            const contentType = parts[0].split(':')[1];
            const raw = window.atob(parts[1]);
            const rawLength = raw.length;
            const uInt8Array = new Uint8Array(rawLength);

            for (let i = 0; i < rawLength; ++i) {
                uInt8Array[i] = raw.charCodeAt(i);
            }

            const newBlob = new Blob([uInt8Array], { type: contentType });
            const fileName = `shared_image_${new Date().getTime()}.png`;
            const file = new File([newBlob], fileName, { type: contentType });

            if (navigator.share && navigator.canShare({ files: [file] })) {
                await navigator.share({
                    files: [file],
                    title: "Image",
                    text: "Shared from app.",
                });
            } else {
                alert("Sharing not supported on this browser.");
            }
        };
        reader.onerror = function(error) {
            console.error("Error converting blob to data URL:", error);
            alert("An error occurred while preparing image for sharing.");
        };

    } catch (error) {
        if (error.name === 'AbortError') {
            console.log("Share dialog cancelled by user.");
        } else {
            console.error("Error sharing:", error);
            alert("An error occurred while trying to share.");
        }
    }
}
"""

# --- Gradio Interface ---
def generate_ad(product_url: str, store_name: str, main_cupom: str, main_cupom_discount_percentage: float, cupom_1: str, original_price: float, discounted_price: float, openai_api_key: str, natura_api_token: str, openai_base_url: str, openai_model_name: str):
    yield gr.update(interactive=False, value="Generating..."), gr.Markdown(value="⏳ Generating ad... Please wait.")

    if not openai_api_key or not natura_api_token or not openai_model_name or not openai_base_url:
        yield gr.update(interactive=True, value="Generate Ad"), gr.Markdown(value="Please configure your API keys in the settings section below.")
        return

    original_price = original_price if original_price is not None else 0
    discounted_price = discounted_price if discounted_price is not None else 0

    social_media_crew = SocialMediaCrew(openai_api_key, natura_api_token, openai_base_url, openai_model_name)
    result = social_media_crew.run_crew(product_url, store_name, main_cupom, main_cupom_discount_percentage, cupom_1, original_price, discounted_price)

    if result == "INVALID_URL":
        yield gr.update(interactive=True, value="Generate Ad"), gr.Markdown(value="❌ The provided URL is invalid or the product page could not be found.")
    elif result == "MISSING_PRODUCT_INFO":
        yield gr.update(interactive=True, value="Generate Ad"), gr.Markdown(value="⚠️ Could not extract all required product information from the URL. Please check the URL or try a different one.")
    else:
        yield gr.update(interactive=True, value="Generate Ad"), gr.Markdown(value=result.raw)

with gr.Blocks() as demo:
    gr.Markdown("# 🚀 Social Media Ad Generator")
    gr.Markdown("Enter a product URL to generate a social media ad.")

    with gr.Tab("Generate Ad"):
        url_input = gr.Textbox(label="Product URL", placeholder="Enter product URL here...")
        store_name_input = gr.Textbox(label="Store Name (e.g., O Boticário)", placeholder="Enter store name...")
        
        main_cupom_input = gr.Textbox(label="Main Cupom (e.g., PRIMEIRACOMPRA)", value="PRIMEIRACOMPRA")
        main_cupom_discount_percentage_input = gr.Number(label="Main Cupom Discount Percentage (e.g., 20 for 20%)", value=15, minimum=0, maximum=100)
        cupom_1_input = gr.Textbox(label="Cupom 1 (e.g., AMIGO15)", placeholder="Enter first coupon code...")
        original_price_input = gr.Number(label="Original Price (Optional)", value=0, minimum=0)
        discounted_price_input = gr.Number(label="Discounted Price (Optional)", value=0, minimum=0)
        with gr.Row():
            generate_ad_button = gr.Button("Generate Ad")
            clear_button = gr.Button("Clear")
        ad_output = gr.Markdown(label="Your Generated Ad", show_copy_button=True)
        
    with gr.Tab("Fragrantica"):
        gr.Markdown("### 👃 Fragrantica Website Analyzer")
        fragrantica_url_input = gr.Textbox(label="Fragrantica Product URL", placeholder="Enter Fragrantica product URL here...")
        analyze_fragrantica_button = gr.Button("Analyze Fragrantica Product")
        fragrantica_output = gr.Markdown(label="Fragrantica Analysis Report")

    with gr.Tab("Images"):
        gr.Markdown("### 🖼️ Generate Promotional Image")
        with gr.Row():
            with gr.Column():
                image_product_url_input = gr.Textbox(label="Product Image URL", placeholder="Enter product image URL...")
                image_product_name_input = gr.Textbox(label="Product Name", placeholder="Enter product name...")
                image_original_price_input = gr.Number(label="Original Price", placeholder="Enter original price...")
                image_final_price_input = gr.Number(label="Final Price", placeholder="Enter final price...")
                image_coupon_code_input = gr.Textbox(label="Coupon Code", placeholder="Enter coupon code...")
                gen_image_btn = gr.Button("Generate Image")
            with gr.Column():
                image_output = gr.Image(label="Generated Image", height=500, type="filepath", interactive=False, show_share_button=True)
                base64_debug_output = gr.Textbox(label="Base64 Debug Output", visible=True, interactive=False)
                share_button = gr.Button("🚀 Share Image", interactive=False)

    with gr.Tab("Settings"):
        gr.Markdown("### ⚙️ API Key Settings")
        gr.Markdown("Enter your API keys below. These will be used for the current session.")
        openai_key_input = gr.Textbox(label="OPENAI_API_KEY", type="password", value=os.getenv("OPENAI_API_KEY", ""))
        natura_token_input = gr.Textbox(label="NATURA_API_TOKEN", type="password", value=os.getenv("NATURA_API_TOKEN", ""))
        openai_base_url_input = gr.Textbox(label="OPENAI_BASE_URL", value=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1"))
        openai_model_name_input = gr.Textbox(label="OPENAI_MODEL_NAME", value=os.getenv("OPENAI_MODEL_NAME", "gpt-4.1"))
        
        clean_env_vars()
        # No save button needed as keys are passed directly
        gr.Markdown("API keys are used directly from these fields when you click 'Generate Ad'. They are not saved persistently.")

    def clear_fields():
        return "", 0, 0

    def analyze_fragrantica_url(url, openai_api_key, natura_api_token, openai_base_url, openai_model_name):
        yield "⏳ Analyzing Fragrantica product... Please wait." # Loading message
        if not openai_api_key or not openai_model_name or not openai_base_url:
            yield "Please configure your API keys in the settings section below."
            return
        from fragrantica_crew import FragranticaCrew
        fragrantica_crew = FragranticaCrew(openai_api_key, openai_base_url, openai_model_name)
        report = fragrantica_crew.kickoff(url=url)
        if report == "SCRAPING_FAILED":
            yield "❌ Scraping failed. The website could not be accessed or parsed. Please check the URL or try again later."
            return
        yield report.raw

    

    def generate_image(product_image_url, product_name, original_price, final_price, coupon_code):
        tool = GenerateImageTool()
        original_price_str = f"{original_price:.2f}".replace('.', ',')
        final_price_str = f"{final_price:.2f}".replace('.', ',')
        
        yield gr.update(interactive=False, value="Generating..."), None, gr.update(interactive=False)

        image_path = tool._run(
            product_image_url=product_image_url,
            product_name=product_name,
            original_price=original_price_str,
            final_price=final_price_str,
            coupon_code=coupon_code
        )
        
        yield gr.update(interactive=True, value="Generate Image"), image_path, gr.update(interactive=True)

    def process_image_for_sharing(image_path):
        if image_path is None:
            return ""
        try:
            with open(image_path, "rb") as image_file:
                encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
            data_url = f"data:image/png;base64,{encoded_string}"
            return data_url
        except Exception as e:
            print(f"Error processing image for sharing: {e}")
            return ""

    generate_ad_button.click(generate_ad, inputs=[url_input, store_name_input, main_cupom_input, main_cupom_discount_percentage_input, cupom_1_input, original_price_input, discounted_price_input, openai_key_input, natura_token_input, openai_base_url_input, openai_model_name_input], outputs=[generate_ad_button, ad_output])
    clear_button.click(clear_fields, inputs=[], outputs=[url_input, original_price_input, discounted_price_input])
    analyze_fragrantica_button.click(analyze_fragrantica_url, inputs=[fragrantica_url_input, openai_key_input, natura_token_input, openai_base_url_input, openai_model_name_input], outputs=fragrantica_output)
    gen_image_btn.click(generate_image,
                        inputs=[image_product_url_input, image_product_name_input, image_original_price_input, image_final_price_input, image_coupon_code_input],
                        outputs=[gen_image_btn, image_output, share_button])
    share_button.click(fn=process_image_for_sharing, inputs=[image_output], outputs=[base64_debug_output])
    base64_debug_output.change(fn=None, inputs=[base64_debug_output], js=js_share_logic)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)