Update src/streamlit_app.py
Browse files- src/streamlit_app.py +155 -3
src/streamlit_app.py
CHANGED
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@@ -6,7 +6,7 @@ import streamlit as st
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st.set_page_config(layout="wide")
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-
#
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apikey = os.environ["FMP_API_KEY"]
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def parse_json(url):
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@@ -294,6 +294,145 @@ def draw_income_sankey(income_statement, symbol, height, font_size):
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)
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return fig
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st.title("Financial Sankeys")
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symbol = st.sidebar.text_input("Ticker symbol", "AMZN").upper()
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@@ -303,6 +442,8 @@ bs_height = st.sidebar.slider("Balance Sheet height", 500, 1500, 800)
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bs_font = st.sidebar.slider("Balance Sheet font size", 5, 15, 10)
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is_height = st.sidebar.slider("Income Statement height", 500, 1500, 600)
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is_font = st.sidebar.slider("Income Statement font size", 5, 15, 10)
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# where the data came from
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st.sidebar.markdown("## [Financial Modeling Prep API](https://site.financialmodelingprep.com/?utm_source=medium&utm_medium=medium&utm_campaign=damian8)\
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@@ -319,7 +460,7 @@ if symbol:
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fig_bs = draw_balance_sankey(balance_sheet, symbol.upper(), bs_height, bs_font)
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st.plotly_chart(fig_bs, use_container_width=True)
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except Exception as e:
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-
st.error(f"
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# Income Statement
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st.header(f"Income Statement — {symbol}")
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@@ -329,4 +470,15 @@ if symbol:
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fig_is = draw_income_sankey(income_statement, symbol.upper(), is_height, is_font)
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st.plotly_chart(fig_is, use_container_width=True)
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except Exception as e:
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st.error(f"
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st.set_page_config(layout="wide")
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+
# get your API key from env
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apikey = os.environ["FMP_API_KEY"]
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def parse_json(url):
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)
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return fig
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def draw_cashflow_sankey(cash_flow, symbol, height, font_size):
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flows = [
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# Operating Activities (Inflow)
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("Net Income", "Operating Activities", cash_flow["netIncome"]),
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("Depreciation & Amortization", "Operating Activities", cash_flow["depreciationAndAmortization"]),
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("Deferred Income Tax", "Operating Activities", cash_flow["deferredIncomeTax"]),
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("Stock-Based Compensation", "Operating Activities", cash_flow["stockBasedCompensation"]),
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("Change in Working Capital", "Operating Activities", cash_flow["changeInWorkingCapital"]),
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("Accounts Receivables Δ", "Operating Activities", cash_flow["accountsReceivables"]),
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("Inventory Δ", "Operating Activities", cash_flow["inventory"]),
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("Accounts Payable Δ", "Operating Activities", cash_flow["accountsPayables"]),
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#("Other Working Capital Δ", "Operating Activities", cash_flow["otherWorkingCapital"]), # overlap with some lines
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("Other Non-Cash Items", "Operating Activities", cash_flow["otherNonCashItems"]),
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("Operating Activities", "Net Cash Inflow (Operating)", cash_flow["netCashProvidedByOperatingActivities"]),
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# Investing Activities (Outflow)
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("Investments in PP&E", "Investing Activities", cash_flow["investmentsInPropertyPlantAndEquipment"]),
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("Acquisitions, Net", "Investing Activities", cash_flow["acquisitionsNet"]),
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("Purchases of Investments", "Investing Activities", cash_flow["purchasesOfInvestments"]),
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("Sales/Maturities of Investments", "Investing Activities", cash_flow["salesMaturitiesOfInvestments"]),
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("Other Investing Activities", "Investing Activities", cash_flow["otherInvestingActivities"]),
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("Investing Activities", "Net Cash Outflow (Investing)", cash_flow["netCashProvidedByInvestingActivities"]),
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# Financing Activities (Outflow)
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("Net Debt Issuance", "Financing Activities", cash_flow["netDebtIssuance"]),
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#("Long-Term Net Debt Issuance", "Financing Activities", cash_flow["longTermNetDebtIssuance"]), # already under net debt
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#("Short-Term Net Debt Issuance", "Financing Activities", cash_flow["shortTermNetDebtIssuance"]), # already under net debt
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#("Net Stock Issuance", "Financing Activities", cash_flow["netStockIssuance"]),
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("Net Common Stock Issuance", "Financing Activities", cash_flow["netCommonStockIssuance"]),
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#("Common Stock Issuance", "Financing Activities", cash_flow["commonStockIssuance"]), # already under net common stock issuance
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#("Common Stock Repurchased", "Financing Activities", cash_flow["commonStockRepurchased"]), # already under net common stock issuance
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("Net Preferred Stock Issuance", "Financing Activities", cash_flow["netPreferredStockIssuance"]),
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("Net Dividends Paid", "Financing Activities", cash_flow["netDividendsPaid"]),
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#("Common Dividends Paid", "Financing Activities", cash_flow["commonDividendsPaid"]), # already under net dividends paid
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#("Preferred Dividends Paid", "Financing Activities", cash_flow["preferredDividendsPaid"]), # already under net dividends paid
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("Other Financing Activities", "Financing Activities", cash_flow["otherFinancingActivities"]),
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("Financing Activities", "Net Cash Outflow (Financing)", cash_flow["netCashProvidedByFinancingActivities"]),
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# Combine In and Out Flows
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("Net Cash Inflow (Operating)", "Net Change in Cash", cash_flow["netCashProvidedByOperatingActivities"]),
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("Net Cash Outflow (Investing)", "Net Change in Cash", cash_flow["netCashProvidedByInvestingActivities"]),
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("Net Cash Outflow (Financing)", "Net Change in Cash", cash_flow["netCashProvidedByFinancingActivities"]),
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("Effect of Forex on Cash", "Net Change in Cash", cash_flow["effectOfForexChangesOnCash"]),
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# Beginning & Change → Ending Balance
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("Cash at Beginning of Period", "Cash at End of Period", cash_flow["cashAtBeginningOfPeriod"]),
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("Net Change in Cash", "Cash at End of Period", cash_flow["netChangeInCash"]),
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]
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adjusted_flows = []
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for src, tgt, val in flows:
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if val >= 0:
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adjusted_flows.append((src, tgt, val, 'rgba(50,200,50,0.6)'))
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else:
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# reverse direction for readability
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adjusted_flows.append((tgt, src, -val, 'rgba(200,50,50,0.6)'))
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labels = []
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for s, t, _, _ in adjusted_flows:
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if s not in labels: labels.append(s)
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if t not in labels: labels.append(t)
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node_values = { lbl: cash_flow[
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{
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"Net Income": "netIncome",
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"Depreciation & Amortization": "depreciationAndAmortization",
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"Deferred Income Tax": "deferredIncomeTax",
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"Stock-Based Compensation": "stockBasedCompensation",
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"Change in Working Capital": "changeInWorkingCapital",
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"Accounts Receivables Δ": "accountsReceivables",
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"Inventory Δ": "inventory",
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"Accounts Payable Δ": "accountsPayables",
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"Other Working Capital Δ": "otherWorkingCapital",
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"Other Non-Cash Items": "otherNonCashItems",
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"Operating Activities": "netCashProvidedByOperatingActivities",
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"Investments in PP&E": "investmentsInPropertyPlantAndEquipment",
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"Acquisitions, Net": "acquisitionsNet",
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"Purchases of Investments": "purchasesOfInvestments",
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"Sales/Maturities of Investments": "salesMaturitiesOfInvestments",
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"Other Investing Activities": "otherInvestingActivities",
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"Investing Activities": "netCashProvidedByInvestingActivities",
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"Net Debt Issuance": "netDebtIssuance",
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"Long-Term Net Debt Issuance": "longTermNetDebtIssuance",
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"Short-Term Net Debt Issuance": "shortTermNetDebtIssuance",
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"Net Stock Issuance": "netStockIssuance",
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"Net Common Stock Issuance": "netCommonStockIssuance",
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"Common Stock Issuance": "commonStockIssuance",
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"Common Stock Repurchased": "commonStockRepurchased",
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"Net Preferred Stock Issuance": "netPreferredStockIssuance",
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"Net Dividends Paid": "netDividendsPaid",
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"Common Dividends Paid": "commonDividendsPaid",
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"Preferred Dividends Paid": "preferredDividendsPaid",
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"Other Financing Activities": "otherFinancingActivities",
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"Financing Activities": "netCashProvidedByFinancingActivities",
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"Net Cash Inflow (Operating)": "netCashProvidedByOperatingActivities",
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"Net Cash Outflow (Investing)": "netCashProvidedByInvestingActivities",
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"Net Cash Outflow (Financing)": "netCashProvidedByFinancingActivities",
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"Effect of Forex on Cash": "effectOfForexChangesOnCash",
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"Net Change in Cash": "netChangeInCash",
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"Cash at Beginning of Period": "cashAtBeginningOfPeriod",
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"Cash at End of Period": "cashAtEndOfPeriod",
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}[lbl]
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] for lbl in labels }
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def fmt(val):
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if abs(val) >= 1e9: return f"${val/1e9:.1f}B"
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if abs(val) >= 1e6: return f"${val/1e6:.1f}M"
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if abs(val) >= 1e3: return f"${val/1e3:.0f}K"
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return f"${val:.0f}"
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idx = { lbl:i for i,lbl in enumerate(labels) }
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source = [ idx[s] for s, t, _, _ in adjusted_flows ]
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target = [ idx[t] for s, t, _, _ in adjusted_flows ]
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value = [ v for _, _, v, _ in adjusted_flows ]
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colors = [ c for _, _, _, c in adjusted_flows ]
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label_with_values = []
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for lbl in labels:
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val = node_values[lbl]
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base = lbl
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if val < 0: base += " [NEGATIVE]"
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label_with_values.append(f"{base} ({fmt(val)})")
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fig = go.Figure(go.Sankey(
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arrangement="snap",
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node = dict(label=label_with_values, pad=15, thickness=20),
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link = dict(source=source, target=target, value=value, color=colors)
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))
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fig.update_layout(
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title_text=f"Income Statement Sankey — {symbol}",
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height=height,
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font_size=font_size
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)
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return fig
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st.title("Financial Sankeys")
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symbol = st.sidebar.text_input("Ticker symbol", "AMZN").upper()
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bs_font = st.sidebar.slider("Balance Sheet font size", 5, 15, 10)
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is_height = st.sidebar.slider("Income Statement height", 500, 1500, 600)
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is_font = st.sidebar.slider("Income Statement font size", 5, 15, 10)
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cf_height = st.sidebar.slider("Cash Flow Statement height", 500, 1500, 800)
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cf_font = st.sidebar.slider("Cash Flow Statement font size", 5, 15, 10)
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# where the data came from
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st.sidebar.markdown("## [Financial Modeling Prep API](https://site.financialmodelingprep.com/?utm_source=medium&utm_medium=medium&utm_campaign=damian8)\
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fig_bs = draw_balance_sankey(balance_sheet, symbol.upper(), bs_height, bs_font)
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st.plotly_chart(fig_bs, use_container_width=True)
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except Exception as e:
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st.error(f"{e}")
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# Income Statement
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st.header(f"Income Statement — {symbol}")
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fig_is = draw_income_sankey(income_statement, symbol.upper(), is_height, is_font)
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st.plotly_chart(fig_is, use_container_width=True)
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except Exception as e:
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st.error(f"{e}")
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# Cash Flow Statement
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st.header(f"Cash Flow Statement — {symbol}")
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try:
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df_cf = parse_json(f"https://financialmodelingprep.com/stable/cash-flow-statement?symbol={symbol}&apikey={apikey}")
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cash_flow = df_cf.iloc[0]
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fig_cf = draw_cashflow_sankey(cash_flow, symbol.upper(), cf_height, cf_font)
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st.plotly_chart(fig_cf, use_container_width=True)
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except Exception as e:
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st.error(f"{e}")
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