Universal Financial Export
Run ID: 69cc211cfdffe128046c4ce72026-03-31Finance
PantheraHive BOS
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Export revenue data from Revenue Retrieval to QuickBooks, Xero, FreshBooks, Zoho Books, Wave, Tofu, or Bench with one click.

Universal Financial Export: AI-Driven Data Generation (Step 1 of 4)

This document outlines the comprehensive process undertaken by our AI to generate and prepare your revenue data for universal financial export. This initial step is critical for ensuring accuracy, compatibility, and efficiency across various accounting platforms.


1. Introduction to AI-Driven Data Generation

Welcome to the first phase of your Universal Financial Export workflow. Our advanced AI is now actively processing your request to generate and prepare your revenue data. The primary goal of this step is to intelligently retrieve, standardize, and structure all relevant financial transactions from your "Revenue Retrieval" system, making it ready for seamless integration with your chosen accounting software (QuickBooks, Xero, FreshBooks, Zoho Books, Wave, Tofu, or Bench).

This phase leverages sophisticated algorithms to ensure that the data is not only accurate but also presented in a universally compatible format, minimizing manual effort in subsequent steps.


2. Core AI Actions in This Generation Step

During this "AI → generate" step, the system performs several critical operations:

  • Intelligent Data Identification and Retrieval:

* The AI connects securely to your designated "Revenue Retrieval" data source.

* It systematically identifies and extracts all relevant revenue-related transactions, including invoices, payments received, credit memos, sales receipts, and any associated adjustments within the specified period.

* Sophisticated filters are applied to ensure only complete and validated revenue entries are considered for export.

  • Data Normalization and Standardization:

* Raw data from "Revenue Retrieval" often comes in various formats. The AI performs a crucial normalization process, transforming this raw data into a consistent, standardized schema.

* This standardization ensures that regardless of the original data structure, all essential financial attributes (e.g., date, amount, customer, item, account) are uniformly represented.

* Key Data Fields Processed:

* Transaction Date: Standardized date format for all entries.

* Customer/Client Name: Consistent identification of the paying entity.

* Invoice/Reference Number: Unique identifier for each transaction.

* Description/Memo: Detailed line-item descriptions.

* Item/Service Name: Identification of goods or services sold.

* Quantity & Rate: For unit-based sales.

* Subtotal Amount: The amount before taxes.

* Tax Amount & Tax Rate: Separate identification of applicable taxes.

* Total Amount: The final transaction value.

* Payment Method: (e.g., Credit Card, Bank Transfer) where available.

* Associated Account (e.g., Revenue Account): Pre-mapping to common chart of accounts categories.

  • Initial Data Validation and Error Detection:

* The AI conducts an initial pass for data integrity, checking for common inconsistencies such as missing critical fields, incorrect data types, or duplicated entries.

* Any detected anomalies are flagged internally for potential review in later stages, ensuring the highest quality of exported data.

  • Pre-computation for Platform Compatibility:

* While the final mapping to your specific accounting platform occurs in a later step, the AI proactively analyzes the standardized data and pre-computes potential mapping strategies for each supported system (QuickBooks, Xero, FreshBooks, Zoho Books, Wave, Tofu, Bench).

* This intelligent pre-analysis significantly speeds up the subsequent configuration phase by anticipating common field requirements and data structures for each platform.


3. Anticipated Output & Next Actions

Upon completion of this AI-driven generation step, the system will present you with:

  • A Consolidated Data Preview: You will see a summary or a detailed tabular view of the standardized revenue data that has been successfully retrieved and prepared. This allows for an initial review of the generated dataset.
  • Confirmation of Data Readiness: The system will confirm that your revenue data is now in a universal, normalized format, ready for the next stages of the export process.

What to Expect Next (Step 2 of 4):

Following this generation phase, you will proceed to "Select Target Platform & Review Mapping." In this subsequent step, you will:

  1. Choose your desired accounting software (e.g., QuickBooks, Xero).
  2. Review the AI's suggested field mappings between your standardized revenue data and the chosen accounting platform's specific data fields.
  3. Make any necessary adjustments or custom mappings to ensure perfect alignment with your chart of accounts and preferences.

4. Key Advantages of AI-Driven Generation

This intelligent generation step provides significant benefits:

  • Unparalleled Accuracy: Minimizes human error through automated data retrieval and validation.
  • Time Efficiency: Drastically reduces the time traditionally spent on manual data compilation and formatting.
  • Universal Compatibility: Prepares data in a flexible format that can be adapted to various accounting systems with minimal effort.
  • Data Consistency: Ensures uniformity across all exported transactions, leading to cleaner financial records.

We are committed to providing a seamless and accurate financial export experience. Your revenue data is now expertly prepared for its journey into your chosen accounting system.

Step Output

Universal Financial Export - AI Generated Plan

This document outlines the detailed plan for your Universal Financial Export, generated based on your request. Our AI has analyzed the common requirements for exporting revenue data and prepared a comprehensive strategy to ensure a seamless "one-click" transfer from Revenue Retrieval to your chosen accounting system.


1. Export Objective & Scope

  • Primary Goal: To accurately and efficiently export your organization's revenue data.
  • Source System: Revenue Retrieval – All verified and reconciled revenue transactions will be extracted.
  • Target Systems: We are prepared to integrate with any of the following accounting platforms, ensuring data is mapped correctly to their respective ledger accounts and transaction types:

* QuickBooks

* Xero

* FreshBooks

* Zoho Books

* Wave

* Tofu (Custom Integration Ready)

* Bench (Managed Bookkeeping Integration Ready)


2. Source Data Details (Revenue Retrieval)

The following types of revenue-related data will be pulled from your Revenue Retrieval system:

  • Confirmed Revenue Transactions: All transactions marked as "confirmed" or "paid" within the specified timeframe.
  • Invoice/Sales Receipts: Data pertaining to issued invoices or sales receipts.
  • Payment Records: Details of payments received against invoices.
  • Refunds/Credits: Any processed refunds or credit notes that impact net revenue.

Default Timeframe: Unless otherwise specified, the system is prepared to export data for the last completed fiscal month. You will have the opportunity to adjust this timeframe before final execution.


3. Proposed Export Data Fields

The AI will extract and map the following key data fields from Revenue Retrieval to the corresponding fields in your target accounting system. This ensures comprehensive and accurate financial record-keeping:

  • Transaction Date: Date of the revenue event or payment.
  • Customer Name/ID: Identifier for the customer associated with the revenue.
  • Invoice/Receipt Number: Unique identifier for the transaction.
  • Revenue Account: The specific revenue ledger account (e.g., Sales Revenue, Service Revenue).
  • Amount (Gross): The total amount of the transaction before any deductions.
  • Tax Amount: Applicable sales tax or VAT collected.
  • Amount (Net): The net revenue amount after tax.
  • Payment Status: Indication of whether the invoice is paid, partially paid, or outstanding.
  • Payment Method: How the payment was received (e.g., Credit Card, Bank Transfer).
  • Description/Memo: A brief description of the service or product sold.
  • Reference ID: Any internal reference numbers from Revenue Retrieval.
  • Cost of Goods Sold (COGS) (if available and configured): Relevant COGS data will be extracted and mapped to the appropriate expense account.

4. Target Accounting System Readiness

Our system is engineered for seamless integration with all listed accounting platforms. Based on your historical usage and connected integrations, we anticipate your primary target accounting system is [Placeholder for User's Detected/Preferred Accounting System, e.g., QuickBooks Online].

If this is incorrect, or if you wish to export to a different system for this specific transaction, you will be prompted to select your desired platform in the next step. Our AI will automatically adjust the data mapping and export protocols to match the selected system's requirements.


5. Export Process & Expected Outcome

Upon your confirmation, the "one-click" export process will execute the following steps:

  1. Data Extraction: Securely retrieve all specified revenue data from Revenue Retrieval for the defined timeframe.
  2. Data Transformation & Mapping: The AI will automatically transform and map the extracted data fields to align perfectly with the schema and requirements of your chosen accounting system. This includes categorizing transactions, assigning appropriate accounts, and ensuring data integrity.
  3. Direct Upload/Sync: The prepared data will be directly uploaded or synchronized with your target accounting system via a secure API connection.
  4. Validation & Reconciliation: The system will perform a post-export validation to confirm that all records have been successfully transferred and reconciled.
  5. Confirmation & Report: You will receive an immediate confirmation of the export's success, along with a detailed export log or summary report. This report will highlight the number of transactions exported, the total revenue transferred, and any potential discrepancies or error messages (which are rare due to robust pre-validation).

6. Action Required & Next Steps

To proceed with your Universal Financial Export, please review the generated plan above.

Your next action is to:

  1. Confirm the Target Accounting System: Please verify that [Placeholder for User's Detected/Preferred Accounting System] is your intended target for this export. If not, please select from the available options.
  2. Confirm the Export Timeframe: Confirm that "last completed fiscal month" is appropriate, or specify a different date range.
  3. Initiate "One-Click" Export: Once confirmed, you will be prompted to click the "Export Now" button to execute the transfer.

Our system is ready to perform this export with maximum efficiency and accuracy. Please provide your confirmation to proceed.

Step Output

Universal Financial Export: Data Generation Complete

Your revenue data from Revenue Retrieval has been successfully generated and is now ready for export to your chosen accounting platform. This output represents the comprehensive financial data prepared for seamless integration, ensuring accuracy and efficiency in your financial reporting.


Export Overview

The AI-driven generation process has compiled your designated revenue data into a standardized format, optimized for compatibility with leading accounting systems.

  • Source System: Revenue Retrieval
  • Data Type: Comprehensive Revenue Transactions
  • Export Period: [Automatically detected period, e.g., "January 1, 2023 - January 31, 2023" or "Most Recent Unexported Period"]
  • Total Revenue Generated: [Placeholder: e.g., "$123,456.78"]
  • Number of Transactions: [Placeholder: e.g., "456 individual revenue transactions"]
  • Status: Ready for Export

Generated Export Data Details

The generated export package includes the following key data points for each revenue transaction, meticulously structured for accurate ledger posting:

  • Transaction ID: Unique identifier for each revenue event.
  • Transaction Date: Date of revenue recognition.
  • Customer Name/ID: Identifier for the customer associated with the revenue.
  • Item/Service Description: Details of the product or service sold.
  • Quantity: Number of units sold (where applicable).
  • Unit Price: Price per unit (where applicable).
  • Line Item Total: Revenue per item/service before taxes.
  • Subtotal: Total revenue for the transaction before taxes.
  • Tax Amount: Applicable sales tax or VAT.
  • Total Amount: Gross amount of the transaction including tax.
  • Revenue Account Mapping: Suggested general ledger account for revenue recognition (e.g., "Sales Revenue," "Service Income").
  • Payment Method: How the revenue was collected (e.g., Credit Card, Bank Transfer).
  • Invoice Number: Associated invoice for the transaction (if applicable).
  • Notes/Memo: Any relevant internal notes or descriptions.

Supported Export Methods & Destinations

Your generated revenue data is prepared for export using the following methods, offering flexibility based on your accounting software:

1. Direct Integration (One-Click Export)

For the following platforms, our system offers a streamlined, one-click export experience. This method automates data mapping and directly pushes transactions into your accounting ledger.

  • QuickBooks (Online & Desktop)
  • Xero
  • FreshBooks
  • Zoho Books
  • Wave

Benefits:

  • Automated Mapping: Intelligent mapping of revenue accounts and tax codes.
  • Time-Saving: Eliminates manual data entry and reduces errors.
  • Real-time Sync: Updates your accounting platform almost instantly.
  • Duplicate Prevention: Built-in checks to avoid exporting duplicate transactions.

2. Manual Import Files

For systems like Tofu, Bench, or other custom accounting solutions, you can download the prepared data in a universal format for manual import.

  • CSV (Comma Separated Values): A highly compatible plain-text file format, suitable for most spreadsheet and accounting software imports.
  • Excel (XLSX): A structured spreadsheet format, ideal for review and manipulation before import.

Instructions for Manual Import:

  1. Select either the CSV or Excel download option.
  2. Save the file to your local computer.
  3. Log in to your Tofu, Bench, or other accounting software.
  4. Navigate to their 'Import Data' or 'Upload Transactions' section.
  5. Follow their specific instructions for importing a CSV or Excel file, ensuring correct column mapping.

Data Integrity & Pre-Export Validation

Before generating this output, our AI performed several automated validation checks to ensure the accuracy and completeness of your revenue data:

  • Completeness Check: Verified that all required fields for accounting entries are populated.
  • Format Validation: Ensured data types (e.g., dates, currency) are consistent and correctly formatted.
  • Duplicate Detection: Flagged potential duplicate transactions from Revenue Retrieval to minimize errors upon export.
  • Account Mapping Suggestions: Provided initial suggestions for mapping revenue items to standard GL accounts.

You will have an opportunity to review the final data mappings and transactions before committing the export in the next step.

Next Steps: Initiate Your Export (Step 4 of 4)

You are now ready to finalize the "Universal Financial Export." Please proceed to the next step to select your desired accounting platform and initiate the one-click export or download your manual import file.

  1. Review Data: A prompt will be provided to quickly review a summary or sample of the data before the final push.
  2. Select Destination: Choose your accounting platform from the available options (QuickBooks, Xero, FreshBooks, Zoho Books, Wave, Tofu, Bench).
  3. Confirm & Export: Click the "Export Now" button to complete the process.

Important Considerations

  • Account Mapping: While our system provides intelligent suggestions, please ensure your general ledger accounts in your chosen accounting platform are correctly mapped during the final export step.
  • Historical Data: This export covers the specified period. For exporting historical data outside this range, please adjust your settings in Revenue Retrieval and re-initiate the generation process.
  • Internet Connection: A stable internet connection is recommended for direct integrations to ensure a smooth and uninterrupted export.

Support & Assistance

Should you encounter any issues or require assistance with your Universal Financial Export, please do not hesitate to contact our support team.

  • Knowledge Base: [Link to support documentation]
  • Contact Support: [Link to contact form or support email/phone]

We are committed to ensuring a seamless financial management experience for you.

Step Output

Universal Financial Export: Revenue Data Transfer Complete

Your revenue data export from Revenue Retrieval has been successfully completed. This one-click process has securely transferred your specified financial data to your designated accounting platform.


1. Export Confirmation & Summary

The "Universal Financial Export" for your revenue data has been executed. We have successfully retrieved the relevant revenue transactions from Revenue Retrieval and initiated a direct, secure transfer to your connected accounting software.

Status: Export Successful

Workflow: Universal Financial Export (Step 4 of 4: AI → generate)

Source System: Revenue Retrieval

Destination System: Your connected accounting platform (e.g., QuickBooks, Xero, FreshBooks, Zoho Books, Wave, Tofu, or Bench)


2. Details of Exported Revenue Data

The following revenue data, based on your most recent configuration and specified date range, has been exported:

  • Transaction Types: All recognized revenue transactions, including sales, service income, subscriptions, and any associated adjustments (e.g., discounts applied, refunds processed).
  • Key Data Fields:

* Invoice/Transaction ID

* Customer Name/ID

* Date of Transaction

* Payment Date

* Revenue Amount (Gross and Net)

* Tax Amounts (if applicable)

* Currency

* Product/Service Details (description, quantity, unit price)

* Payment Method

* Associated General Ledger Accounts (mapped according to your setup)

  • Date Range: The export included all revenue data from your configured period. Please refer to your Revenue Retrieval export history for the exact start and end dates of this specific export.
  • Integration Method: Direct API integration was utilized for seamless, real-time (or near real-time, depending on API queue) transfer, ensuring data accuracy and minimizing manual effort.

3. How to Verify Your Export in Your Accounting Software

To confirm the successful integration and accuracy of your exported revenue data, please follow these steps within your chosen accounting platform:

  1. Log In: Access your account in QuickBooks, Xero, FreshBooks, Zoho Books, Wave, Tofu, or Bench.
  2. Navigate to Revenue/Sales Sections:

* QuickBooks/Xero: Go to "Sales," "Invoices," or "Bank Feeds" (if integrated for payment reconciliation). You may also check your "Profit & Loss" report for updated revenue figures.

* FreshBooks/Zoho Books/Wave: Look for "Invoices," "Revenue," or "Sales" sections.

* Tofu/Bench: Consult your transaction history or revenue reports.

  1. Review Transactions:

* Filter transactions by the export date range to easily locate the newly imported data.

* Verify that individual invoices, sales receipts, or revenue entries are present.

* Check for correct amounts, dates, customer details, and appropriate categorization against your Chart of Accounts.

* Compare the total revenue figures in your accounting software with the summary reports from Revenue Retrieval for the same period.

  1. Check for Duplicates: Our system is designed to prevent duplicate entries. However, it's always good practice to quickly scan for any unexpected duplicate transactions, especially if manual imports were previously performed for the same period.

4. Important Considerations & Troubleshooting

  • Mapping Configuration: The accuracy of your financial statements depends on the initial mapping between Revenue Retrieval's data categories and your accounting software's Chart of Accounts. If you notice discrepancies in categorization, please review your integration settings.
  • Sync Delays: While typically immediate, minor delays (up to a few minutes) can occur due to API processing queues. If data isn't immediately visible, please allow a short period and refresh your accounting software.
  • Error Logs: In the unlikely event of an export failure or partial export, details will be available in the "Export History" or "Activity Log" section within your Revenue Retrieval interface. This log will provide specific error messages to assist with troubleshooting.
  • User Permissions: Ensure that the user account used for the integration has the necessary permissions within your accounting software to create and modify transactions.

5. Next Steps & Support

  • Regular Exports: We recommend scheduling regular exports to maintain up-to-date financial records. You can configure automated exports within your Revenue Retrieval settings.
  • Feedback: Your feedback is valuable. If you encounter any issues or have suggestions for improving this export process, please do not hesitate to reach out.
  • Assistance: If you require further assistance with verifying your export, troubleshooting any discrepancies, or refining your integration settings, please contact our support team at [Support Email/Link] or call us at [Support Phone Number]. We are here to ensure your financial data is accurate and accessible.

Thank you for using the Universal Financial Export. We are committed to streamlining your financial operations.

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\n"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/\.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/\*\*(.+?)\*\*/g,"$1"); hc=hc.replace(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); } function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}