| """HTML rendering for the Fraud Pattern Co-Pilot demo. |
| |
| The unique panel for Fraud is a two-distribution scoreboard: 5 stage |
| bars + 4 type bars side-by-side, with stage and type recommendation |
| pills above. Visual vocabulary matches dispute and collections. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import html |
| from typing import Iterable |
|
|
| import numpy as np |
|
|
| from encoder.src.data.synthetic_fraud_pattern import ( |
| NUM_STAGES, |
| NUM_TYPES, |
| STAGE_NAMES, |
| TYPE_NAMES, |
| ) |
| from encoder.src.demo.copilot_inference_fraud_pattern import ( |
| STAGE_COLORS, |
| TYPE_COLORS, |
| FraudPatternCastMember, |
| FraudPatternResult, |
| ) |
|
|
|
|
| _PAGE_BG = "#fafafa" |
| _INK = "#171717" |
| _INK_DIM = "#525252" |
| _BORDER = "rgba(0,0,0,0.08)" |
| _CARD_BG = "#ffffff" |
|
|
|
|
| def render_header() -> str: |
| return f""" |
| <div style="text-align: center; margin-bottom: 22px;"> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.08em; |
| margin-bottom: 6px; |
| "> |
| Liquid AI · LFM2.5-350M backbone · encoder + LoRA |
| </div> |
| <h1 style=" |
| margin: 0; |
| font-size: 28px; |
| font-weight: 700; |
| color: {_INK}; |
| letter-spacing: -0.02em; |
| "> |
| Fraud Pattern Co-Pilot |
| </h1> |
| </div> |
| """ |
|
|
|
|
| def render_cast_strip( |
| cast: list[FraudPatternCastMember], |
| selected_idx: int, |
| ) -> str: |
| cards: list[str] = [] |
| for i, m in enumerate(cast): |
| is_sel = i == selected_idx |
| accent = STAGE_COLORS[m.stage_label] |
| border = accent if is_sel else _BORDER |
| bg = "#ffffff" if not is_sel else _hex_with_alpha(accent, 0.06) |
| cards.append(f""" |
| <div style=" |
| flex: 1 1 0; |
| min-width: 0; |
| padding: 12px 14px; |
| background: {bg}; |
| border: 1.5px solid {border}; |
| border-radius: 10px; |
| "> |
| <div style=" |
| font-size: 13px; |
| font-weight: 600; |
| color: {_INK}; |
| margin-bottom: 4px; |
| overflow: hidden; |
| text-overflow: ellipsis; |
| white-space: nowrap; |
| ">{html.escape(m.display_name)}</div> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.04em; |
| "> |
| <span style="color: {accent};">●</span> |
| {html.escape(m.stage_label_name)} / {html.escape(m.type_label_name)} |
| </div> |
| </div> |
| """) |
| return f""" |
| <div style="display: flex; gap: 10px; margin-bottom: 18px;"> |
| {''.join(cards)} |
| </div> |
| """ |
|
|
|
|
| def render_context(member: FraudPatternCastMember) -> str: |
| accent = STAGE_COLORS[member.stage_label] |
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-left: 4px solid {accent}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| margin-bottom: 18px; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 10px; |
| "> |
| Fraud queue context · pattern: |
| <span style="color: {_INK}; font-weight: 600;">{html.escape(member.pattern)}</span> |
| </div> |
| <div style=" |
| font-size: 18px; |
| color: {_INK}; |
| line-height: 1.5; |
| font-style: italic; |
| "> |
| “{html.escape(member.context_text)}” |
| </div> |
| <div style=" |
| font-size: 13px; |
| color: {_INK_DIM}; |
| margin-top: 12px; |
| line-height: 1.5; |
| "> |
| {html.escape(member.description)} |
| </div> |
| </div> |
| """ |
|
|
|
|
| def render_timeline( |
| flagged_idx: int, |
| top_k_positions: Iterable[int] | None = None, |
| attribution_probs: Iterable[float] | None = None, |
| num_positions: int = 64, |
| ) -> str: |
| top_k_set: set[int] = set() |
| if top_k_positions is not None: |
| top_k_set = {int(i) for i in top_k_positions} |
| probs = list(attribution_probs) if attribution_probs is not None else None |
|
|
| dots: list[str] = [] |
| for i in range(num_positions): |
| if i == flagged_idx: |
| dots.append(_dot_flagged(i)) |
| elif i in top_k_set: |
| alpha = float(probs[i]) if probs is not None else 1.0 |
| dots.append(_dot_attributed(i, alpha)) |
| else: |
| faint = float(probs[i]) * 0.4 if probs is not None else 0.0 |
| dots.append(_dot_neutral(i, faint)) |
|
|
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 20px 22px; |
| margin-bottom: 18px; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 14px; |
| display: flex; |
| justify-content: space-between; |
| "> |
| <span>64-transaction history · oldest → newest</span> |
| <span> |
| <span style="color: #ef4444;">★</span> flagged |
| <span style="color: #f59e0b;">●</span> contributed |
| </span> |
| </div> |
| <div style=" |
| display: flex; |
| justify-content: space-between; |
| align-items: center; |
| gap: 2px; |
| "> |
| {''.join(dots)} |
| </div> |
| </div> |
| """ |
|
|
|
|
| def _dot_flagged(i: int) -> str: |
| return f""" |
| <div title="position {i} · flagged" style=" |
| width: 14px; height: 14px; |
| color: #ef4444; |
| font-size: 18px; |
| line-height: 14px; |
| text-align: center; |
| font-weight: 700; |
| ">★</div> |
| """ |
|
|
|
|
| def _dot_attributed(i: int, alpha: float) -> str: |
| glow = max(0.4, min(1.0, alpha)) |
| return f""" |
| <div title="position {i} · contributed ({alpha:.2f})" style=" |
| width: 12px; height: 12px; |
| border-radius: 50%; |
| background: rgba(245, 158, 11, {glow}); |
| box-shadow: 0 0 8px rgba(245, 158, 11, {glow * 0.7}); |
| "></div> |
| """ |
|
|
|
|
| def _dot_neutral(i: int, faint: float = 0.0) -> str: |
| bg = f"rgba(245, 158, 11, {faint:.2f})" if faint > 0.0 else "rgba(0,0,0,0.18)" |
| return f""" |
| <div title="position {i}" style=" |
| width: 8px; height: 8px; |
| border-radius: 50%; |
| background: {bg}; |
| "></div> |
| """ |
|
|
|
|
| def render_two_dist_scoreboard(result: FraudPatternResult | None) -> str: |
| """Stage 5-bar + type 4-bar side-by-side scoreboard.""" |
| if result is None: |
| return _scoreboard_placeholder() |
|
|
| stage_rows = _bars_for( |
| probs=result.stage_probs, |
| names=STAGE_NAMES, |
| colors=STAGE_COLORS, |
| winning_idx=result.predicted_stage, |
| ) |
| type_rows = _bars_for( |
| probs=result.type_probs, |
| names=TYPE_NAMES, |
| colors=TYPE_COLORS, |
| winning_idx=result.predicted_type, |
| ) |
|
|
| stage_color = STAGE_COLORS[result.predicted_stage] |
| type_color = TYPE_COLORS[result.predicted_type] |
|
|
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| height: 100%; |
| box-sizing: border-box; |
| "> |
| <div style=" |
| display: flex; |
| justify-content: space-between; |
| align-items: baseline; |
| margin-bottom: 16px; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| "> |
| Pattern verdict |
| </div> |
| <div style="display: flex; gap: 8px;"> |
| <div style=" |
| display: inline-block; |
| padding: 4px 12px; |
| background: {_hex_with_alpha(stage_color, 0.12)}; |
| color: {stage_color}; |
| font-size: 12px; |
| font-weight: 700; |
| border-radius: 999px; |
| text-transform: uppercase; |
| letter-spacing: 0.04em; |
| "> |
| stage: {html.escape(STAGE_NAMES[result.predicted_stage])} |
| · {result.stage_probs[result.predicted_stage]:.2f} |
| </div> |
| <div style=" |
| display: inline-block; |
| padding: 4px 12px; |
| background: {_hex_with_alpha(type_color, 0.12)}; |
| color: {type_color}; |
| font-size: 12px; |
| font-weight: 700; |
| border-radius: 999px; |
| text-transform: uppercase; |
| letter-spacing: 0.04em; |
| "> |
| type: {html.escape(TYPE_NAMES[result.predicted_type])} |
| · {result.type_probs[result.predicted_type]:.2f} |
| </div> |
| </div> |
| </div> |
| |
| <div style="display: flex; gap: 20px;"> |
| <div style="flex: 1;"> |
| <div style=" |
| font-size: 10px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| margin-bottom: 8px; |
| letter-spacing: 0.04em; |
| ">Stage distribution</div> |
| {''.join(stage_rows)} |
| </div> |
| <div style="flex: 1;"> |
| <div style=" |
| font-size: 10px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| margin-bottom: 8px; |
| letter-spacing: 0.04em; |
| ">Type distribution</div> |
| {''.join(type_rows)} |
| </div> |
| </div> |
| </div> |
| """ |
|
|
|
|
| def _bars_for( |
| probs: np.ndarray, |
| names: list[str], |
| colors: dict[int, str], |
| winning_idx: int, |
| ) -> list[str]: |
| rows: list[str] = [] |
| for i, (name, p) in enumerate(zip(names, probs, strict=True)): |
| accent = colors[i] |
| is_win = i == winning_idx |
| bar_w = max(2, int(float(p) * 100)) |
| rows.append(f""" |
| <div style=" |
| display: flex; |
| align-items: center; |
| gap: 8px; |
| padding: 5px 0; |
| border-bottom: 1px solid {_BORDER}; |
| "> |
| <div style=" |
| width: 95px; |
| font-size: 11px; |
| font-weight: {600 if is_win else 500}; |
| color: {_INK if is_win else _INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| "> |
| {'★ ' if is_win else ' '}{html.escape(name)} |
| </div> |
| <div style=" |
| flex: 1; |
| height: 10px; |
| background: rgba(0,0,0,0.05); |
| border-radius: 5px; |
| position: relative; |
| overflow: hidden; |
| "> |
| <div style=" |
| position: absolute; |
| left: 0; top: 0; bottom: 0; |
| width: {bar_w}%; |
| background: {accent}; |
| border-radius: 5px; |
| "></div> |
| </div> |
| <div style=" |
| width: 36px; |
| text-align: right; |
| font-size: 11px; |
| font-weight: 600; |
| color: {accent}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| "> |
| {float(p):.2f} |
| </div> |
| </div> |
| """) |
| return rows |
|
|
|
|
| def _scoreboard_placeholder() -> str: |
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| height: 100%; |
| box-sizing: border-box; |
| color: {_INK_DIM}; |
| "> |
| <div style=" |
| font-size: 11px; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 16px; |
| "> |
| Pattern verdict |
| </div> |
| <div style="font-size: 14px; color: {_INK_DIM};"> |
| Click <b>Analyze</b> to see pattern stage + type distributions. |
| </div> |
| </div> |
| """ |
|
|
|
|
| def render_reasoning(text: str | None) -> str: |
| if text is None: |
| body = f""" |
| <div style="font-size: 14px; color: {_INK_DIM}; font-style: italic;"> |
| Reasoning will appear here once the model has read the customer's history. |
| </div> |
| """ |
| else: |
| body = f""" |
| <div style=" |
| font-size: 14px; |
| color: {_INK}; |
| line-height: 1.6; |
| white-space: pre-wrap; |
| font-family: ui-monospace, 'JetBrains Mono', monospace; |
| ">{html.escape(text)}<span style=" |
| display: inline-block; |
| width: 7px; |
| height: 14px; |
| background: {_INK}; |
| margin-left: 2px; |
| vertical-align: text-bottom; |
| animation: copilot-blink 1s infinite; |
| "></span></div> |
| <style> |
| @keyframes copilot-blink {{ |
| 0%, 49% {{ opacity: 1; }} |
| 50%, 100% {{ opacity: 0; }} |
| }} |
| </style> |
| """ |
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| height: 100%; |
| box-sizing: border-box; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 16px; |
| "> |
| Reasoning |
| </div> |
| {body} |
| </div> |
| """ |
|
|
|
|
| def _hex_with_alpha(hex_color: str, alpha: float) -> str: |
| h = hex_color.lstrip("#") |
| if len(h) != 6: |
| return hex_color |
| r, g, b = int(h[0:2], 16), int(h[2:4], 16), int(h[4:6], 16) |
| return f"rgba({r}, {g}, {b}, {alpha:.3f})" |
|
|