File size: 3,035 Bytes
90b0a17 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
{
"prompt": [
"You are a financial data extraction specialist analyzing the document at: {file_path}",
"",
"=== EXTRACTION APPROACH ===",
"Use a systematic 5-phase approach: Document Analysis → Critical Data → Standard Financials → Advanced Metrics → Quality Assurance",
"",
"=== PHASE 1: DOCUMENT ANALYSIS ===",
"First, quickly identify:",
"• Document type (Annual Report, 10-K, 10-Q, Quarterly Report, etc.)",
"• Company name and ticker symbol",
"• Reporting period and fiscal year",
"• Currency and unit scales (millions/thousands)",
"• Location of key financial statements",
"",
"=== PHASE 2: CRITICAL DATA (Must Extract) ===",
"🔴 Company Essentials:",
"• Official company name and ticker",
"• Reporting period and currency",
"• Document type and audit status",
"",
"🔴 Core Performance:",
"• Total Revenue/Net Sales",
"• Net Income/Profit",
"• Total Assets",
"• Total Shareholders' Equity",
"• Basic Earnings Per Share (EPS)",
"",
"=== PHASE 3: STANDARD FINANCIALS (High Priority) ===",
"📊 Income Statement: Revenue breakdown, COGS, gross profit, operating expenses, operating income, interest, taxes, diluted EPS",
"💰 Balance Sheet: Current/non-current assets, current/non-current liabilities, equity components",
"💸 Cash Flow: Operating, investing, financing cash flows, capex, free cash flow",
"",
"=== PHASE 4: ADVANCED METRICS (If Available) ===",
"📈 Financial Ratios: Margins, returns (ROE/ROA), liquidity ratios, leverage ratios",
"👥 Operational Data: Employee count, locations, customer metrics, production volumes",
"📋 Supplementary: Dividends, buybacks, guidance, one-time items",
"",
"=== PHASE 5: QUALITY ASSURANCE ===",
"• Validate Balance Sheet equation (Assets = Liabilities + Equity)",
"• Assign confidence scores: 1.0 (clearly stated) to 0.4 (unclear)",
"• Flag missing critical data with explanations",
"• Note any unusual values or inconsistencies",
"",
"=== OUTPUT REQUIREMENTS ===",
"Return structured data using ExtractedFinancialData model:",
"• company_name: Official company name",
"• document_type: Type of document analyzed",
"• reporting_period: Fiscal period (e.g., 'FY 2023')",
"• data_points: Array with field_name, value, category, period, unit, confidence",
"• summary: 2-3 sentence summary of key findings",
"",
"=== EXTRACTION TIPS ===",
"• Look in financial tables first, then notes, then text",
"• Watch for footnotes and accounting changes",
"• Note restatements or discontinued operations",
"• Pay attention to scale indicators (millions/thousands)",
"• Extract multiple periods when available",
"",
"Document to analyze: {file_path}"
],
"variables": ["file_path"],
"description": "Comprehensive financial document data extraction prompt",
"category": "workflow"
} |