mirror of
https://github.com/shawnkim1997/All-in-one-Financial-Analysis.git
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refactor: modular architecture v3.0 + SEC filing viewer fix + README
Architecture (3,909-line monolith → 28 focused modules, all < 300 lines):
- config/: constants.py (company lists, row maps, Damodaran baselines), theme.py (CSS/HTML)
- utils/: prefs, formatting, ticker, dcf, charts, ui_helpers
- data/: sec_parser, sec_fetcher, sec_downloader, financials, fundamentals,
valuation, ratios, scores, scores_ai, market
- ai/: gemini_core, gemini_sec, gemini_insights
- views/: sidebar, tab1_quant, tab1_ai, tab1_filings, tab2_dcf,
tab3_comps, tab4_news, tab5_markets, tab6_crypto, tab7_technical
- app.py: thin orchestrator (~118 lines)
- Strict unidirectional dependency graph (no circular imports)
- All @st.cache_data TTLs and st.session_state keys preserved identically
SEC filing viewer fix:
- Rebuilt EDGAR fetch chain: company_tickers.json → CIK → submissions API
→ filings.recent.primaryDocument[] (replaces deprecated directory.item)
- Filing type selectbox (10-K, 10-Q, 8-K, 20-F, 6-K) connected to backend
- Native HTML rendered via streamlit.components.v1.html() with CSS reset
- Errors surfaced explicitly with st.error()
- DART direct links restored for Korean-listed companies
.gitignore: data/ → data/*.json + data/*.html (preserve Python modules)
README: full rewrite for master's portfolio — 7-tab layout, architecture
diagram, modular structure tree, technical challenges, design rationale
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Sonnet 4.6
parent
7ce5661569
commit
d337c63976
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"""
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All global constants, company lists, sector maps, regex patterns, row maps, and Damodaran baselines.
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"""
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# Company name → ticker for search/autocomplete (expand as needed)
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COMPANY_LIST = [
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("NVIDIA Corporation", "NVDA"), ("Apple Inc.", "AAPL"), ("Microsoft Corporation", "MSFT"),
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("Amazon.com Inc.", "AMZN"), ("Alphabet Inc.", "GOOGL"), ("Meta Platforms Inc.", "META"),
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("AMD", "AMD"), ("Intel Corporation", "INTC"), ("Qualcomm Inc.", "QCOM"), ("Tesla Inc.", "TSLA"),
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("Berkshire Hathaway", "BRK.B"), ("JPMorgan Chase", "JPM"), ("Visa Inc.", "V"), ("UnitedHealth", "UNH"),
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("Procter & Gamble", "PG"), ("Exxon Mobil", "XOM"), ("Johnson & Johnson", "JNJ"), ("Mastercard", "MA"),
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("Chevron", "CVX"), ("Home Depot", "HD"), ("Merck", "MRK"), ("AbbVie", "ABBV"), ("Costco", "COST"),
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("PepsiCo", "PEP"), ("Coca-Cola", "KO"), ("Pfizer", "PFE"), ("Walmart", "WMT"), ("Netflix", "NFLX"),
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("Adobe", "ADBE"), ("Salesforce", "CRM"), ("Comcast", "CMCSA"), ("Cisco", "CSCO"), ("Oracle", "ORCL"),
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("American Express", "AXP"), ("Bank of America", "BAC"), ("Wells Fargo", "WFC"), ("Verizon", "VZ"),
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("AT&T", "T"), ("Walt Disney", "DIS"), ("Nike", "NKE"), ("McDonald's", "MCD"), ("Starbucks", "SBUX"),
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("Goldman Sachs", "GS"), ("Morgan Stanley", "MS"), ("Target", "TGT"), ("Boeing", "BA"), ("IBM", "IBM"),
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]
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COMPANY_OPTIONS = [f"{t} - {n}" for n, t in COMPANY_LIST]
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COMPANY_TICKER_MAP = {t: n for n, t in COMPANY_LIST}
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MARKET_OPTIONS = [
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"US (S&P/Dow/Nasdaq)",
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"South Korea (KOSPI/KOSDAQ)",
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"Japan (Nikkei)",
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"UK (LSE)",
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]
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# Top-down sector analysis: industry → top 5 S&P 500 / NASDAQ tickers
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SECTORS = {
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"Semiconductors & Hardware": ["NVDA", "AMD", "INTC", "TSM", "AVGO"],
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"Software & Cloud": ["MSFT", "ADBE", "CRM", "PANW", "CRWD"],
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"Consumer Retail": ["AMZN", "SBUX", "MCD", "WMT", "HD"],
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"Financial Services": ["JPM", "BAC", "GS", "MS", "V"],
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"Healthcare": ["LLY", "UNH", "JNJ", "ABBV", "MRK"],
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}
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# Section patterns for 10-K items
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ITEM1A_PATTERNS = [
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r"Item\s+1A\s*[.:]\s*Risk\s+Factors",
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r"ITEM\s+1A\s*[.:]\s*Risk\s+Factors",
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]
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ITEM7_PATTERNS = [
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r"Item\s+7\s*[.:]\s*Management['\u2019]s\s+Discussion\s+and\s+Analysis",
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r"ITEM\s+7\s*[.:]\s*Management['\u2019]s\s+Discussion",
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r"Item\s+7\s*[.:]\s*[\w\s]+MD&A",
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]
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ITEM8_PATTERNS = [
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r"Item\s+8\s*[.:]\s*Financial\s+Statements",
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r"ITEM\s+8\s*[.:]\s*Financial\s+Statements",
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]
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ITEM3_PATTERNS = [
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r"Item\s+3\s*[.:]\s*Legal\s+Proceedings",
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r"ITEM\s+3\s*[.:]\s*Legal\s+Proceedings",
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]
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ITEM9A_PATTERNS = [
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r"Item\s+9A\s*[.:]\s*Controls\s+and\s+Procedures",
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r"Item\s+9A\s*[.:]\s*Internal\s+Control",
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r"ITEM\s+9A\s*[.:]\s*Controls",
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]
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# Gemini model config
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GEMINI_MODEL = "gemini-2.0-flash"
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RATE_LIMIT_WAIT_SEC = 60
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# Financial statement required keys (for LLM extraction)
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REQUIRED_FINANCIAL_KEYS = [
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"Revenue", "CostOfRevenue", "OperatingExpenses", "NetIncome",
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"TotalAssets", "CurrentAssets", "CurrentLiabilities", "LongTermDebt",
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"OperatingCashFlow", "SharesOutstanding",
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]
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# yahooquery: map to our index/column shape (index=line items, columns=dates)
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INCOME_ROW_MAP = [
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("Total Revenue", ("TotalRevenue", "OperatingRevenue", "TotalRevenue")),
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("Cost Of Revenue", ("CostOfRevenue", "ReconciledCostOfRevenue")),
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("Gross Profit", ("GrossProfit",)),
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("Operating Income", ("OperatingIncome", "EBIT", "TotalOperatingIncomeAsReported")),
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("Net Income", ("NetIncome", "NetIncomeCommonStockholders", "NetIncomeContinuousOperations", "DilutedNIAvailtoComStockholders")),
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("Operating Expense", ("OperatingExpense", "OperatingExpenses", "TotalExpenses")),
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("Interest Expense", ("InterestExpense", "InterestExpenseNonOperating")),
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("Research And Development Expenses", ("ResearchAndDevelopment", "ResearchAndDevelopmentExpenses")),
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]
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BALANCE_ROW_MAP = [
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("Total Assets", ("TotalAssets",)),
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("Total Stockholder Equity", ("StockholdersEquity", "CommonStockEquity", "TotalEquityGrossMinorityInterest")),
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("Total Liabilities", ("TotalLiabilitiesNetMinorityInterest", "TotalLiabilities")),
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("Current Assets", ("CurrentAssets",)),
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("Current Liabilities", ("CurrentLiabilities",)),
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("Long Term Debt", ("LongTermDebt", "LongTermDebtAndCapitalLeaseObligation")),
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("Total Debt", ("TotalDebt",)),
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("Share Issued", ("OrdinarySharesNumber", "ShareIssued", "BasicAverageShares", "DilutedAverageShares")),
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("Cash And Cash Equivalents", ("CashAndCashEquivalents", "CashCashEquivalentsAndShortTermInvestments", "EndCashPosition")),
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("Retained Earnings", ("RetainedEarnings",)),
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]
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CASHFLOW_ROW_MAP = [
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("Operating Cash Flow", ("OperatingCashFlow", "CashFromOperatingActivities")),
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("Capital Expenditure", ("CapitalExpenditure", "CapitalExpenditures")),
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]
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# Aswath Damodaran sector WACC (approx. 2024/2025 baseline). Used for reference in DCF panel.
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DAMODARAN_WACC = {
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"Software": 8.5,
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"Retail": 7.5,
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"Hardware": 9.0,
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"Financials": 8.0,
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"Healthcare": 7.2,
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"Consumer": 7.5,
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"Technology": 8.5,
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"Industrial": 7.8,
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"Energy": 8.2,
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"Utilities": 6.5,
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}
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DAMODARAN_ERP_PCT = 4.6
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DAMODARAN_RF_PCT = 4.2
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+176
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"""
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Soft Navy Professional Financial Terminal Theme — CSS + header HTML.
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"""
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SOFT_NAVY_CSS = """
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<style>
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/* ═══════ Soft Navy — Professional Financial Terminal Theme ═══════ */
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/* Base */
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;600;700&display=swap');
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[data-testid="stAppViewContainer"] {
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background: linear-gradient(180deg, #0F1923 0%, #131D2A 100%);
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color: #D1D5DB;
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font-family: 'Inter', -apple-system, sans-serif;
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}
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[data-testid="stSidebar"] {
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background: #0D1520;
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border-right: 1px solid rgba(255,255,255,0.06);
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}
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[data-testid="stHeader"] {
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background: rgba(15, 25, 35, 0.95);
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backdrop-filter: blur(12px);
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border-bottom: 1px solid rgba(255,255,255,0.06);
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}
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/* Typography */
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h1, h2, h3, h4, h5, h6 { color: #F3F4F6 !important; font-family: 'Inter', sans-serif !important; font-weight: 700 !important; }
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p, span, label, .stMarkdown, div[data-testid="stText"] { color: #D1D5DB !important; }
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.stCaption, [data-testid="stCaptionContainer"] { color: #6B7280 !important; }
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/* Metrics — monospace numbers */
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div[data-testid="stMetricValue"] {
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font-size: 1.6rem !important;
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font-family: 'JetBrains Mono', monospace !important;
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font-weight: 700 !important;
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color: #F9FAFB !important;
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}
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[data-testid="stMetricDelta"] > div { font-family: 'JetBrains Mono', monospace !important; font-size: 0.85rem !important; }
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[data-testid="stMetricDelta"][style*="color: rgb(9, 171, 59)"] { color: #34D399 !important; }
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[data-testid="stMetricDelta"][style*="color: rgb(255, 43, 43)"] { color: #F87171 !important; }
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/* Tabs — pill style */
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.stTabs [data-baseweb="tab-list"] {
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gap: 4px;
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background: rgba(255,255,255,0.03);
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border-radius: 10px;
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padding: 4px 6px;
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border: 1px solid rgba(255,255,255,0.06);
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}
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.stTabs [data-baseweb="tab"] {
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padding: 8px 18px;
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font-weight: 600;
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font-size: 0.82rem;
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color: #6B7280;
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border-radius: 8px;
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background: transparent;
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border: none;
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transition: all 0.2s ease;
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}
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.stTabs [aria-selected="true"] {
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background: rgba(59, 130, 246, 0.15) !important;
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color: #60A5FA !important;
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box-shadow: 0 0 0 1px rgba(59, 130, 246, 0.3);
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}
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/* Inputs */
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input, textarea, [data-baseweb="input"] > div, [data-baseweb="select"] > div {
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background: rgba(255,255,255,0.04) !important;
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color: #E5E7EB !important;
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border-color: rgba(255,255,255,0.08) !important;
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border-radius: 8px !important;
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font-family: 'Inter', sans-serif !important;
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}
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input:focus, textarea:focus { border-color: rgba(59, 130, 246, 0.5) !important; box-shadow: 0 0 0 2px rgba(59, 130, 246, 0.15) !important; }
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/* Buttons */
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.stButton > button {
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background: rgba(59, 130, 246, 0.12);
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color: #60A5FA;
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border: 1px solid rgba(59, 130, 246, 0.3);
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border-radius: 8px;
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font-weight: 600;
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font-size: 0.85rem;
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padding: 8px 20px;
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transition: all 0.2s ease;
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}
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.stButton > button:hover {
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background: rgba(59, 130, 246, 0.25);
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border-color: #60A5FA;
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transform: translateY(-1px);
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box-shadow: 0 4px 12px rgba(59, 130, 246, 0.15);
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}
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/* Dataframes */
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[data-testid="stDataFrame"] {
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border: 1px solid rgba(255,255,255,0.06);
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border-radius: 10px;
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overflow: hidden;
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}
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[data-testid="stDataFrame"] th {
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background: rgba(255,255,255,0.04) !important;
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color: #9CA3AF !important;
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font-weight: 600 !important;
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text-transform: uppercase;
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font-size: 0.7rem !important;
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letter-spacing: 0.5px;
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}
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[data-testid="stDataFrame"] td {
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font-family: 'JetBrains Mono', monospace !important;
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font-size: 0.85rem !important;
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}
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/* Expanders */
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div[data-testid="stExpander"] {
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background: rgba(255,255,255,0.02);
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border: 1px solid rgba(255,255,255,0.06);
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border-radius: 10px;
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}
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/* Sliders */
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.stSlider [data-baseweb="slider"] [role="slider"] { background: #3B82F6 !important; }
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.stSlider [data-baseweb="slider"] [data-testid="stThumbValue"] { color: #60A5FA !important; font-family: 'JetBrains Mono', monospace !important; }
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/* Alerts */
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[data-testid="stAlert"] { border-radius: 8px; border: none; }
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div[data-baseweb="notification"][kind="positive"] { background: rgba(52, 211, 153, 0.08) !important; border-left: 3px solid #34D399 !important; }
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div[data-baseweb="notification"][kind="warning"] { background: rgba(251, 191, 36, 0.08) !important; border-left: 3px solid #FBBF24 !important; }
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div[data-baseweb="notification"][kind="negative"] { background: rgba(248, 113, 113, 0.08) !important; border-left: 3px solid #F87171 !important; }
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/* Plotly */
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.js-plotly-plot .plotly .main-svg { background: transparent !important; }
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/* Scrollbar */
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::-webkit-scrollbar { width: 5px; height: 5px; }
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::-webkit-scrollbar-track { background: transparent; }
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::-webkit-scrollbar-thumb { background: rgba(255,255,255,0.1); border-radius: 3px; }
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::-webkit-scrollbar-thumb:hover { background: rgba(255,255,255,0.2); }
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/* Container */
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.block-container { padding-top: 1rem; max-width: 1400px; }
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/* Selectbox dropdown */
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[data-baseweb="popover"] { background: #1A2332 !important; border: 1px solid rgba(255,255,255,0.08) !important; border-radius: 8px !important; }
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[data-baseweb="menu"] li { color: #D1D5DB !important; }
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[data-baseweb="menu"] li:hover { background: rgba(59, 130, 246, 0.12) !important; }
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/* Sidebar specific */
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[data-testid="stSidebar"] .stButton > button { width: 100%; }
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[data-testid="stSidebar"] [data-baseweb="select"] > div { background: rgba(255,255,255,0.06) !important; }
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/* Custom utility classes */
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.rating-badge { display: inline-block; padding: 4px 14px; border-radius: 6px; font-weight: 700; font-size: 0.85rem; font-family: 'JetBrains Mono', monospace; }
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.rating-buy { background: rgba(52, 211, 153, 0.15); color: #34D399; border: 1px solid rgba(52, 211, 153, 0.3); }
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.rating-sell { background: rgba(248, 113, 113, 0.15); color: #F87171; border: 1px solid rgba(248, 113, 113, 0.3); }
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.rating-hold { background: rgba(251, 191, 36, 0.15); color: #FBBF24; border: 1px solid rgba(251, 191, 36, 0.3); }
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.stat-card { background: rgba(255,255,255,0.03); border: 1px solid rgba(255,255,255,0.06); border-radius: 10px; padding: 16px; text-align: center; }
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.stat-label { color: #6B7280; font-size: 0.7rem; font-weight: 600; letter-spacing: 1px; text-transform: uppercase; }
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.stat-value { color: #F9FAFB; font-size: 1.2rem; font-weight: 700; font-family: 'JetBrains Mono', monospace; margin: 4px 0; }
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.stat-delta { font-size: 0.8rem; font-family: 'JetBrains Mono', monospace; }
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.delta-up { color: #34D399; }
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.delta-down { color: #F87171; }
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.section-label { color: #6B7280; font-size: 0.7rem; font-weight: 600; letter-spacing: 2px; text-transform: uppercase; margin: 20px 0 8px; }
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</style>
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"""
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HEADER_HTML = """
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<div style="display: flex; align-items: baseline; gap: 10px; margin-bottom: 4px;">
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<span style="font-size: 1.8rem; font-weight: 800; color: #60A5FA; font-family: 'JetBrains Mono', monospace; letter-spacing: -1px;">ATLAS</span>
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<span style="font-size: 1.8rem; font-weight: 300; color: #4B5563; letter-spacing: 2px;">TERMINAL</span>
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<span style="font-size: 0.65rem; color: #374151; font-weight: 600; padding: 2px 8px; background: rgba(59,130,246,0.1); border-radius: 4px; margin-left: 4px;">v2.0</span>
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</div>
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<p style="color: #4B5563; font-size: 0.78rem; margin-top: 0;">
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Hybrid: Gemini AI qualitative · yfinance quantitative · Single unified terminal
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</p>
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"""
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