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codeflash-agent/reports/unstructured/engagement_report.py
Kevin Turcios 33faedf427
Add Unstructured report, rewrite statusline, format evals/scripts (#20) 
* Add Unstructured engagement report as uv workspace member

Three-tier Plotly Dash app (Executive Brief, Engineering Team, Full
Detail) with data in JSON, theme constants in theme.py, and Dash
production improvements (Google Fonts, clientside callbacks, meta tags).

Also: add .playwright-mcp/ to .gitignore, add reports/* ruff overrides,
remove tracked .codeflash/observability/read-tracker.

* Rewrite statusline to derive context from git state

Detects active area from changed files (reports, packages, plugin,
.codeflash, case-studies, evals), falls back to branch name convention
(perf/*, feat/*, fix/*), shows dirty indicator. Uses whoami for
cross-platform user detection.

* Add pre-push lint rule to commit guidelines

* Exclude .codeflash/ from ruff linting

Benchmark and profiling scripts in .codeflash/ are scratch work, not
package source. Excluding them prevents CI failures from ad-hoc scripts.

* Run ruff format across packages, scripts, evals, and plugin refs

* Fix github-app async test failures in CI

Add asyncio_mode = "auto" to root pytest config so async tests
are detected when running from the repo root via uv run pytest packages/.
2026-04-15 03:06:16 -05:00

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"""Unstructured x Codeflash — Engagement Report
Three-tier report:
1. Executive Brief — for Chris Maddock (SVP Eng) and JPC
2. Engineering Team — for Crag's team, aggregate view
3. Engineering Detail — per-PR, benchmarks, methodology
"""
import json
from pathlib import Path
import plotly.graph_objects as go
from dash import (
Dash,
Input,
Output,
clientside_callback,
dash_table,
dcc,
html,
)
from theme import (
ACCENT,
AMBER,
BG,
BLUE,
CARD,
CARD_BG,
CARD_BORDER,
DARK,
FONT,
GRAY,
GREEN,
LIGHT_GRAY,
LIGHT_GREEN,
LIGHT_RED,
MONO,
PINK,
PURPLE,
RED,
SLATE,
TABLE_STYLE,
WHITE,
)
# ── Data ────────────────────────────────────────────────────────────────────
_DATA = json.loads((Path(__file__).parent / "data.json").read_text())
CORE_PRODUCT_BASE = _DATA["core_product_base"]
GITHUB_WORKFLOWS_BASE = _DATA["github_workflows_base"]
MEM_BEFORE = _DATA["mem_before"]
MEM_AFTER = _DATA["mem_after"]
BENCH_BEFORE = _DATA["bench_before"]
BENCH_AFTER = _DATA["bench_after"]
LATENCY_OPTS = _DATA["latency_opts"]
CI_BEFORE = _DATA["ci_before"]
CI_AFTER = _DATA["ci_after"]
MERGED_PRS = _DATA["merged_prs"]
OPEN_PRS = _DATA["open_prs"]
# ── Helpers ──────────────────────────────────────────────────────────────────
def hero_metric(value, label, detail, color=GREEN):
return html.Div(
[
html.Div(
value,
style={
"fontSize": "42px",
"fontWeight": "800",
"color": color,
"lineHeight": "1",
"letterSpacing": "-0.02em",
"fontFamily": FONT,
},
),
html.Div(
label,
style={
"fontSize": "15px",
"fontWeight": "600",
"color": SLATE,
"marginTop": "8px",
},
),
html.Div(
detail,
style={"fontSize": "13px", "color": GRAY, "marginTop": "4px"},
),
],
style={
"background": CARD_BG,
"borderRadius": "12px",
"padding": "32px 24px",
"textAlign": "center",
"flex": "1",
"minWidth": "200px",
"border": f"1px solid {CARD_BORDER}",
},
)
def section(title, subtitle=None):
children = [
html.H2(
title,
style={
"fontSize": "22px",
"fontWeight": "700",
"color": SLATE,
"margin": "0",
"fontFamily": FONT,
"letterSpacing": "-0.01em",
},
)
]
if subtitle:
children.append(
html.P(
subtitle,
style={
"fontSize": "14px",
"color": GRAY,
"margin": "6px 0 0",
"lineHeight": "1.5",
},
)
)
return html.Div(children, style={"margin": "56px 0 24px"})
def card(children, **kw):
style = {**CARD}
for k, v in kw.items():
style[k] = v
return html.Div(children, style=style)
def metric_row(
label, before, after, unit="", fmt="{:,.0f}", better="lower", note=None
):
if before and after:
delta = (after - before) / before * 100
improved = delta < 0 if better == "lower" else delta > 0
delta_text = f"{delta:+.0f}%"
delta_color = GREEN if improved else RED
delta_bg = LIGHT_GREEN if improved else LIGHT_RED
else:
delta_text, delta_color, delta_bg = "—", GRAY, "transparent"
def _f(v):
return f"{fmt.format(v)} {unit}".strip() if v is not None else "—"
return html.Div(
[
html.Div(
[
html.Span(
label,
style={
"fontWeight": "600",
"color": SLATE,
"fontSize": "14px",
},
),
html.Span(
f" {note}",
style={"fontSize": "12px", "color": LIGHT_GRAY},
)
if note
else html.Span(),
],
style={"flex": "1"},
),
html.Div(
_f(before),
style={
"width": "140px",
"textAlign": "right",
"color": GRAY,
"fontSize": "14px",
"fontFamily": MONO,
},
),
html.Div(
_f(after),
style={
"width": "140px",
"textAlign": "right",
"color": SLATE,
"fontSize": "14px",
"fontWeight": "600",
"fontFamily": MONO,
},
),
html.Span(
delta_text,
style={
"width": "80px",
"textAlign": "center",
"fontSize": "13px",
"fontWeight": "700",
"color": delta_color,
"background": delta_bg,
"borderRadius": "6px",
"padding": "2px 8px",
},
),
],
style={
"display": "flex",
"alignItems": "center",
"gap": "16px",
"padding": "12px 0",
"borderBottom": f"1px solid {CARD_BORDER}",
},
)
def table_header(cols):
return html.Div(
style={
"display": "flex",
"gap": "16px",
"padding": "10px 0",
"borderBottom": f"2px solid {CARD_BORDER}",
"marginBottom": "4px",
},
children=[
html.Div(
c["label"],
style={
"flex": "1" if c.get("flex") else None,
"width": c.get("width"),
"textAlign": c.get("align", "left"),
"fontWeight": "700",
"fontSize": "13px",
"color": ACCENT,
"textTransform": "uppercase",
"letterSpacing": "0.05em",
},
)
for c in cols
],
)
# ── Charts ───────────────────────────────────────────────────────────────────
def make_memory_chart():
"""Before/after memory: the headline chart."""
cats = ["Pre-Partition RSS", "Post-Partition RSS", "K8s Allocation"]
before = [
MEM_BEFORE["pre_partition_mb"],
MEM_BEFORE["post_partition_mb"],
MEM_BEFORE["k8s_gb"] * 1024,
]
after = [
MEM_AFTER["pre_partition_mb"],
MEM_AFTER["post_partition_mb"],
MEM_AFTER["k8s_gb"] * 1024,
]
fig = go.Figure()
fig.add_trace(
go.Bar(
name="Before (4 OCR workers)",
x=cats,
y=before,
marker_color=LIGHT_GRAY,
marker_cornerradius=6,
text=[f"{v:,.0f} MB" for v in before],
textposition="outside",
textfont={"size": 13, "color": GRAY},
)
)
fig.add_trace(
go.Bar(
name="After (serial OCR)",
x=cats,
y=after,
marker_color=ACCENT,
marker_cornerradius=6,
text=[f"{v:,.0f} MB" for v in after],
textposition="outside",
textfont={"size": 13, "color": ACCENT},
)
)
fig.update_layout(
barmode="group",
bargap=0.3,
bargroupgap=0.1,
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
font={"family": FONT, "size": 13, "color": SLATE},
yaxis={
"title": "Memory (MB)",
"gridcolor": CARD_BORDER,
"zeroline": False,
},
xaxis={"title": ""},
margin={"t": 20, "b": 60, "l": 60, "r": 20},
legend={
"orientation": "h",
"yanchor": "bottom",
"y": 1.05,
"xanchor": "center",
"x": 0.5,
"font": {"size": 13},
},
height=380,
)
return fig
def make_k8s_chart():
"""K8s allocation: 32 GB -> 4 GB."""
fig = go.Figure()
fig.add_trace(
go.Bar(
y=["K8s Pod"],
x=[32],
orientation="h",
marker_color=LIGHT_GRAY,
marker_cornerradius=6,
opacity=0.5,
name="Before: 32 GB",
text=["32 GB"],
textposition="inside",
textfont={"size": 14, "color": WHITE},
)
)
fig.add_trace(
go.Bar(
y=["K8s Pod"],
x=[4],
orientation="h",
marker_color=ACCENT,
marker_cornerradius=6,
name="Recommended: 4 GB",
text=["4 GB"],
textposition="inside",
textfont={"size": 14, "color": DARK, "family": FONT},
)
)
fig.update_layout(
barmode="overlay",
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
font={"family": FONT, "size": 13, "color": SLATE},
xaxis={
"title": "Memory (GB)",
"gridcolor": CARD_BORDER,
"zeroline": False,
"range": [0, 36],
},
margin={"t": 10, "b": 40, "l": 80, "r": 20},
legend={
"orientation": "h",
"yanchor": "bottom",
"y": 1.10,
"xanchor": "center",
"x": 0.5,
"font": {"size": 12},
},
height=160,
)
return fig
def make_ci_chart():
"""CI: before/after."""
cats = ["Jobs Spawned", "Billed Minutes", "Wall Clock (s)"]
before = [CI_BEFORE["jobs_spawned"], CI_BEFORE["billed_min"], 229] # 3m49s
after = [CI_AFTER["jobs_spawned"], CI_AFTER["billed_min"], 65] # 1m05s
fig = go.Figure()
fig.add_trace(
go.Bar(
name="Before",
x=cats,
y=before,
marker_color=LIGHT_GRAY,
marker_cornerradius=6,
text=["301", "205 min", "3m 49s"],
textposition="outside",
textfont={"size": 13, "color": GRAY},
)
)
fig.add_trace(
go.Bar(
name="After",
x=cats,
y=after,
marker_color=ACCENT,
marker_cornerradius=6,
text=["33", "31 min", "1m 05s"],
textposition="outside",
textfont={"size": 13, "color": ACCENT},
)
)
fig.update_layout(
barmode="group",
bargap=0.3,
bargroupgap=0.1,
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
font={"family": FONT, "size": 13, "color": SLATE},
yaxis={"gridcolor": CARD_BORDER, "zeroline": False},
xaxis={"title": ""},
margin={"t": 20, "b": 60, "l": 60, "r": 20},
legend={
"orientation": "h",
"yanchor": "bottom",
"y": 1.05,
"xanchor": "center",
"x": 0.5,
"font": {"size": 13},
},
height=340,
)
return fig
# ── View builders ────────────────────────────────────────────────────────────
def build_exec_view():
return html.Div(
id="exec-view",
children=[
section(
"The Problem",
"core-product pods were configured with 32 GB K8s limits and still occasionally OOM'ing.",
),
card(
[
html.P(
[
"The root cause: on Knative pods with ",
html.Span(
"1 CPU request",
style={
"fontWeight": "700",
"color": ACCENT,
},
),
", Python's ",
html.Code(
"os.cpu_count()",
style={
"fontFamily": MONO,
"color": ACCENT,
"fontSize": "13px",
},
),
" returns the ",
html.Span(
"host's full CPU count",
style={"fontWeight": "700"},
),
" (e.g. 4), so the OCR pool spawns 4 workers that each load the full ONNX model set "
"- with zero parallelism benefit on a single core. This means 4x the memory for no speed gain.",
],
style={
"color": GRAY,
"fontSize": "15px",
"lineHeight": "1.7",
"margin": "0",
},
),
]
),
section("The Result"),
html.Div(
style={
"display": "flex",
"gap": "20px",
"flexWrap": "wrap",
},
children=[
card(
[
html.Div(
"BEFORE",
style={
"fontSize": "11px",
"fontWeight": "700",
"color": RED,
"letterSpacing": "0.1em",
"marginBottom": "16px",
},
),
html.Div(
"32 GB",
style={
"fontSize": "48px",
"fontWeight": "800",
"color": SLATE,
"lineHeight": "1",
},
),
html.Div(
"K8s pod allocation",
style={
"fontSize": "14px",
"color": GRAY,
"marginTop": "4px",
},
),
html.Div(
style={
"marginTop": "16px",
"paddingTop": "16px",
"borderTop": f"1px solid {CARD_BORDER}",
},
children=[
html.Div(
"3,491 MB peak RSS",
style={
"color": GRAY,
"fontSize": "14px",
"marginBottom": "4px",
},
),
html.Div(
"268 MB max single allocation",
style={
"color": GRAY,
"fontSize": "14px",
"marginBottom": "4px",
},
),
html.Div(
"Still OOM'ing occasionally",
style={
"color": RED,
"fontSize": "14px",
"fontWeight": "600",
},
),
],
),
],
flex="1",
minWidth="260px",
borderTop=f"4px solid {RED}",
),
html.Div(
"\u2192",
style={
"fontSize": "42px",
"color": GRAY,
"alignSelf": "center",
"padding": "0 8px",
},
),
card(
[
html.Div(
"AFTER",
style={
"fontSize": "11px",
"fontWeight": "700",
"color": GREEN,
"letterSpacing": "0.1em",
"marginBottom": "16px",
},
),
html.Div(
"4 GB",
style={
"fontSize": "48px",
"fontWeight": "800",
"color": GREEN,
"lineHeight": "1",
},
),
html.Div(
"recommended K8s allocation",
style={
"fontSize": "14px",
"color": GRAY,
"marginTop": "4px",
},
),
html.Div(
style={
"marginTop": "16px",
"paddingTop": "16px",
"borderTop": f"1px solid {CARD_BORDER}",
},
children=[
html.Div(
"1,398 MB peak RSS",
style={
"color": SLATE,
"fontSize": "14px",
"marginBottom": "4px",
},
),
html.Div(
"134 MB max single allocation",
style={
"color": SLATE,
"fontSize": "14px",
"marginBottom": "4px",
},
),
html.Div(
"2.6 GB headroom at 4 GB limit",
style={
"color": GREEN,
"fontSize": "14px",
"fontWeight": "600",
},
),
],
),
],
flex="1",
minWidth="260px",
borderTop=f"4px solid {GREEN}",
),
],
),
card(
[
dcc.Graph(
figure=make_k8s_chart(),
config={"displayModeBar": False},
),
html.P(
"With serial OCR on 1-CPU pods, peak RSS is ~1.4 GB. "
"A 4 GB request / 6 GB limit provides headroom for document size variance. "
"This is a direct per-pod infrastructure cost reduction.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"marginTop": "12px",
},
),
],
marginTop="20px",
),
section(
"How This Was Tested",
"Reproducible A/B benchmark on identical hardware with controlled conditions.",
),
card(
[
html.Ul(
[
html.Li(
[
html.Span(
"Same hardware: ",
style={
"fontWeight": "600",
"color": SLATE,
},
),
"Azure Standard_D8s_v5 (8 vCPU, 32 GB RAM)",
]
),
html.Li(
[
html.Span(
"Same workload: ",
style={
"fontWeight": "600",
"color": SLATE,
},
),
"18 common partition tests (od_only, hi_res, pptx, docx)",
]
),
html.Li(
[
html.Span(
"Same model: ",
style={
"fontWeight": "600",
"color": SLATE,
},
),
"Proprietary YOLOX, identical weights",
]
),
html.Li(
[
html.Span(
"Profiler: ",
style={
"fontWeight": "600",
"color": SLATE,
},
),
"memray --native (captures C/C++ malloc + mmap, not just Python)",
]
),
html.Li(
[
html.Span(
"Protocol: ",
style={
"fontWeight": "600",
"color": SLATE,
},
),
"VM rebooted + 5-min idle before each run",
]
),
],
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "2.0",
"paddingLeft": "20px",
"margin": "0",
},
),
]
),
section(
"Beyond core-product",
"Delivered in addition to the core performance work. Each is available as a standalone engagement.",
),
html.Div(
style={
"display": "flex",
"gap": "20px",
"flexWrap": "wrap",
},
children=[
card(
[
html.Div(
"CI/CD Modernization",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "8px",
},
),
html.Div(
"separate engagement",
style={
"fontSize": "12px",
"color": ACCENT,
"fontWeight": "600",
"letterSpacing": "0.05em",
"marginBottom": "12px",
},
),
html.P(
"Consolidated 28 Python packages from per-package invoke/pip/venv toolchains "
"into a single uv workspace with unified CI. "
"Wall clock dropped 72%, CI cost dropped 85%.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
],
flex="1",
minWidth="280px",
),
card(
[
html.Div(
"Security Audit",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "8px",
},
),
html.Div(
"separate engagement",
style={
"fontSize": "12px",
"color": RED,
"fontWeight": "600",
"letterSpacing": "0.05em",
"marginBottom": "12px",
},
),
html.P(
"Identified dependency confusion risk across 28 packages and a lockfile bypass "
"in Docker builds that caused CVE patches to never reach production for ~2 months.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
],
flex="1",
minWidth="280px",
),
],
),
section("Delivered"),
card(
[
html.Div(
style={
"display": "flex",
"gap": "40px",
"flexWrap": "wrap",
},
children=[
html.Div(
[
html.Div(
"12",
style={
"fontSize": "36px",
"fontWeight": "800",
"color": ACCENT,
"lineHeight": "1",
},
),
html.Div(
"PRs merged",
style={
"fontSize": "14px",
"color": GRAY,
"marginTop": "4px",
},
),
]
),
html.Div(
[
html.Div(
"7",
style={
"fontSize": "36px",
"fontWeight": "800",
"color": AMBER,
"lineHeight": "1",
},
),
html.Div(
"PRs in progress",
style={
"fontSize": "14px",
"color": GRAY,
"marginTop": "4px",
},
),
]
),
html.Div(
[
html.Div(
"3",
style={
"fontSize": "36px",
"fontWeight": "800",
"color": SLATE,
"lineHeight": "1",
},
),
html.Div(
"repos touched",
style={
"fontSize": "14px",
"color": GRAY,
"marginTop": "4px",
},
),
]
),
html.Div(
[
html.Div(
"348",
style={
"fontSize": "36px",
"fontWeight": "800",
"color": GREEN,
"lineHeight": "1",
},
),
html.Div(
"tests passing",
style={
"fontSize": "14px",
"color": GRAY,
"marginTop": "4px",
},
),
]
),
],
),
]
),
],
)
def build_team_view():
return html.Div(
id="team-view",
style={"display": "none"},
children=[
section(
"What Changed: Memory",
"Three root causes fixed, one allocator optimization added.",
),
html.Div(
[
html.Div(
[
html.Div(
"CPU-Aware OCR Worker Count",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
},
),
html.Span(
"Biggest impact",
style={
"marginLeft": "12px",
"padding": "2px 10px",
"borderRadius": "999px",
"fontSize": "12px",
"fontWeight": "600",
"background": ACCENT,
"color": DARK,
},
),
],
style={
"marginBottom": "12px",
"display": "flex",
"alignItems": "center",
},
),
html.P(
[
html.Code(
"os.cpu_count()",
style={
"fontFamily": MONO,
"color": ACCENT,
},
),
" returns the host CPU count (4), not the cgroup limit (1). ",
"The OCR pool was spawning 4 workers on a 1-CPU pod, each loading the full ONNX model set. "
"Replaced with ",
html.Code(
"os.sched_getaffinity(0)",
style={
"fontFamily": MONO,
"color": ACCENT,
},
),
" which respects cgroup/taskset limits. Result: serial mode on 1-CPU pods, "
"eliminating 3 redundant model copies from memory.",
],
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.Div(
html.A(
"PR #1502",
href=f"{CORE_PRODUCT_BASE}/1502",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
style={"marginTop": "8px"},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {ACCENT}",
},
),
html.Div(
[
html.Div(
"Resize-First Preprocessing",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "12px",
},
),
html.P(
"Pages were being converted to full-resolution numpy arrays before any resizing. "
"Now resizes the PIL image first, avoiding a large temporary allocation for every page.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.Div(
html.A(
"PR #1441",
href=f"{CORE_PRODUCT_BASE}/1441",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
style={"marginTop": "8px"},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {GREEN}",
},
),
html.Div(
[
html.Div(
"Early Page Image Release",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "12px",
},
),
html.P(
"Page images were held in memory through the entire table OCR + transformer inference pipeline. "
"Now freed as soon as OCR is complete, reducing peak concurrent memory.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.Div(
html.A(
"PR #1448",
href=f"{CORE_PRODUCT_BASE}/1448",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
style={"marginTop": "8px"},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {GREEN}",
},
),
html.Div(
[
html.Div(
"jemalloc Allocator",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "12px",
},
),
html.P(
"Switched from glibc malloc to jemalloc via LD_PRELOAD. Reduces memory fragmentation "
"from the allocate/free/allocate pattern in the image processing pipeline. "
"Opt-in via environment variable, fault-tolerant if jemalloc is not installed.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.Div(
html.A(
"PR #1507",
href=f"{CORE_PRODUCT_BASE}/1507",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
style={"marginTop": "8px"},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {AMBER}",
},
),
# Memory results chart
section("Memory Results"),
card(
[
dcc.Graph(
figure=make_memory_chart(),
config={"displayModeBar": False},
)
]
),
# Memory table
card(
[
table_header(
[
{"label": "Metric", "flex": True},
{
"label": "Before",
"width": "140px",
"align": "right",
},
{
"label": "After",
"width": "140px",
"align": "right",
},
{
"label": "Delta",
"width": "80px",
"align": "center",
},
]
),
metric_row(
"Pre-partition RSS",
MEM_BEFORE["pre_partition_mb"],
MEM_AFTER["pre_partition_mb"],
"MB",
),
metric_row(
"Post-partition RSS",
MEM_BEFORE["post_partition_mb"],
MEM_AFTER["post_partition_mb"],
"MB",
),
metric_row(
"Max single allocation",
MEM_BEFORE["max_alloc_mb"],
MEM_AFTER["max_alloc_mb"],
"MB",
),
metric_row(
"K8s allocation",
MEM_BEFORE["k8s_gb"] * 1024,
MEM_AFTER["k8s_gb"] * 1024,
"MB",
),
],
marginTop="20px",
),
section(
"What Changed: Latency",
"Two optimizations in the OCR pipeline that eliminate redundant image format conversions.",
),
html.Div(
[
html.Div(
"BMP Instead of PNG for PDF Rendering",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "12px",
},
),
html.P(
"pdfium was rendering pages as PNG (compressed) when the downstream consumer immediately "
"decompresses to a raw bitmap. Switching to BMP skips the compression step entirely.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.Div(
[
html.Span(
"-89 ms/page",
style={
"color": GREEN,
"fontWeight": "700",
},
),
html.Span(
" | -890 ms for a 10-page scan",
style={"color": GRAY},
),
],
style={
"marginTop": "8px",
"fontSize": "14px",
},
),
html.Div(
html.A(
"PR #1503 (open)",
href=f"{CORE_PRODUCT_BASE}/1503",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
style={"marginTop": "4px"},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {GREEN}",
},
),
html.Div(
[
html.Div(
"Direct File Path to Tesseract",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
"marginBottom": "12px",
},
),
html.P(
"The OCR path was converting numpy -> PIL -> PNG bytes -> temp file -> tesseract. "
"In serial mode, the page image file already exists on disk. "
"Passing the path directly skips three intermediate copies.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.Div(
[
html.Span(
"-515 ms/page",
style={
"color": GREEN,
"fontWeight": "700",
},
),
html.Span(
" | -5,148 ms for a 10-page scan | 12.2% of pipeline",
style={"color": GRAY},
),
],
style={
"marginTop": "8px",
"fontSize": "14px",
},
),
html.Div(
html.A(
"PR #1506 (merged)",
href=f"{CORE_PRODUCT_BASE}/1506",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
style={"marginTop": "4px"},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {GREEN}",
},
),
section(
"What Changed: CI/CD",
"platform-libs unified workflow - 28 packages, one CI pipeline.",
),
card(
[
dcc.Graph(
figure=make_ci_chart(),
config={"displayModeBar": False},
)
]
),
card(
[
table_header(
[
{"label": "Metric", "flex": True},
{
"label": "Before",
"width": "140px",
"align": "right",
},
{
"label": "After",
"width": "140px",
"align": "right",
},
{
"label": "Delta",
"width": "80px",
"align": "center",
},
]
),
metric_row(
"CI jobs spawned",
CI_BEFORE["jobs_spawned"],
CI_AFTER["jobs_spawned"],
),
metric_row(
"Jobs that ran",
CI_BEFORE["jobs_ran"],
CI_AFTER["jobs_ran"],
),
metric_row(
"Billed minutes",
CI_BEFORE["billed_min"],
CI_AFTER["billed_min"],
"min",
),
metric_row(
"Cost per run",
CI_BEFORE["cost"],
CI_AFTER["cost"],
"$",
"{:.2f}",
),
],
marginTop="20px",
),
section("What Changed: Reliability & Code Quality"),
html.Div(
style={
"display": "flex",
"gap": "16px",
"flexDirection": "column",
},
children=[
card(
[
html.Div(
[
html.Span(
"Event loop blocking",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "15px",
},
),
html.Span(
" 3 PRs",
style={
"color": ACCENT,
"fontSize": "13px",
"fontWeight": "600",
},
),
]
),
html.P(
"Gzip decompression, PDF validation, and CSV response merging were all running "
"synchronously in the async event loop. Fixed with async I/O wrappers.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "8px 0 0",
},
),
html.Div(
[
html.A(
"#1398",
href=f"{CORE_PRODUCT_BASE}/1398",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
html.Span(
", ",
style={
"color": BLUE,
"fontSize": "13px",
},
),
html.A(
"#1399",
href=f"{CORE_PRODUCT_BASE}/1399",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
html.Span(
", ",
style={
"color": BLUE,
"fontSize": "13px",
},
),
html.A(
"#1400",
href=f"{CORE_PRODUCT_BASE}/1400",
target="_blank",
style={
"color": BLUE,
"fontSize": "13px",
"textDecoration": "none",
},
),
],
style={"marginTop": "8px"},
),
]
),
card(
[
html.Div(
[
html.Span(
"Security audit",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "15px",
},
),
html.Span(
" separate engagement",
style={
"marginLeft": "12px",
"padding": "2px 10px",
"borderRadius": "999px",
"fontSize": "11px",
"fontWeight": "600",
"background": LIGHT_RED,
"color": RED,
},
),
]
),
html.P(
[
"Identified dependency confusion risk across 28 packages "
"and a lockfile bypass in Docker builds that caused CVE patches to never reach "
"production for ~2 months. The team fixed the Docker issue in ",
html.A(
"#1465",
href=f"{CORE_PRODUCT_BASE}/1465",
target="_blank",
style={
"color": BLUE,
"textDecoration": "none",
},
),
".",
],
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "8px 0 0",
},
),
]
),
],
),
],
)
def build_detail_view():
return html.Div(
id="detail-view",
style={"display": "none"},
children=[
section(
"Merged PR Inventory",
"All PRs merged across 3 repositories, ordered by date.",
),
dash_table.DataTable(
columns=[
{"name": "PR", "id": "pr"},
{"name": "Merged", "id": "date"},
{"name": "Description", "id": "desc"},
{"name": "Category", "id": "cat"},
{"name": "Repo", "id": "repo"},
],
data=[
{
"pr": f"#{r[0]}",
"date": r[1],
"desc": r[2],
"cat": r[3],
"repo": r[4],
}
for r in MERGED_PRS
],
**{
**TABLE_STYLE,
"style_data_conditional": [
{
"if": {"row_index": "odd"},
"backgroundColor": "#1f1f23",
},
*[
{
"if": {
"filter_query": f'{{cat}} = "{cat}"',
"column_id": "cat",
},
"color": color,
"fontWeight": "600",
}
for cat, color in {
"Memory": GREEN,
"Latency": ACCENT,
"Reliability": BLUE,
"Code quality": PURPLE,
"CI/CD": PINK,
}.items()
],
],
},
),
section("Open / In-Progress PRs"),
dash_table.DataTable(
columns=[
{"name": "PR", "id": "pr"},
{"name": "Description", "id": "desc"},
{"name": "Category", "id": "cat"},
{"name": "Repo", "id": "repo"},
],
data=[
{
"pr": f"#{r[0]}",
"desc": r[1],
"cat": r[2],
"repo": r[3],
}
for r in OPEN_PRS
],
**{
**TABLE_STYLE,
"style_data_conditional": [
{
"if": {"row_index": "odd"},
"backgroundColor": "#1f1f23",
},
],
},
),
section(
"A/B Benchmark Results (memray --native)",
"18 common partition tests, pre-Feb 2026 baseline vs current main.",
),
card(
[
table_header(
[
{"label": "Metric", "flex": True},
{
"label": "Baseline",
"width": "140px",
"align": "right",
},
{
"label": "Current",
"width": "140px",
"align": "right",
},
{
"label": "Delta",
"width": "80px",
"align": "center",
},
]
),
metric_row(
"Post-import RSS",
BENCH_BEFORE["post_import_mib"],
BENCH_AFTER["post_import_mib"],
"MiB",
),
metric_row(
"First partition delta",
BENCH_BEFORE["first_partition_delta_mib"],
BENCH_AFTER["first_partition_delta_mib"],
"MiB",
),
metric_row(
"Peak memory",
BENCH_BEFORE["peak_gb"],
BENCH_AFTER["peak_gb"],
"GB",
"{:.3f}",
),
metric_row(
"Total allocated",
BENCH_BEFORE["total_gb"],
BENCH_AFTER["total_gb"],
"GB",
"{:.1f}",
better="lower",
),
metric_row(
"Allocation count",
BENCH_BEFORE["allocs"],
BENCH_AFTER["allocs"],
"",
"{:,.0f}",
better="lower",
),
metric_row(
"Wall time",
BENCH_BEFORE["wall_s"],
BENCH_AFTER["wall_s"],
"s",
"{:.1f}",
),
]
),
html.P(
"Total allocated increased because current uses more frequent smaller allocations - "
"peak (the OOM-risk metric) still decreased. This pattern indicates better memory recycling.",
style={
"color": LIGHT_GRAY,
"fontSize": "12px",
"marginTop": "12px",
},
),
section(
"Latency Optimization Detail",
"Traced 9-step PIL conversion chain in the OCR path.",
),
dash_table.DataTable(
columns=[
{"name": "Optimization", "id": "opt"},
{"name": "Per Page", "id": "per_page"},
{"name": "10-Page Scan", "id": "ten_page"},
{"name": "% of Pipeline", "id": "pct"},
{"name": "PR", "id": "pr"},
],
data=[
{
"opt": r[0],
"per_page": f"-{r[1]} ms",
"ten_page": f"-{r[2]:,} ms",
"pct": f"{r[3]}%",
"pr": r[4],
}
for r in LATENCY_OPTS
]
+ [
{
"opt": "Combined",
"per_page": "-604 ms",
"ten_page": "-6,038 ms",
"pct": "14.4%",
"pr": "",
}
],
**TABLE_STYLE,
),
section(
"CI/CD Detail",
"platform-libs: 28 packages migrated from per-package toolchains to uv workspace.",
),
card(
[
html.Ul(
[
html.Li(
"7-11 runners per package consolidated to 1"
),
html.Li(
"28 independent lockfiles replaced by 1 workspace lockfile (245 packages)"
),
html.Li(
"~1,500 lines of boilerplate deleted (23 tasks.py, 27 .python-version, 13 requirements/ dirs)"
),
html.Li(
"messagebus test suite optimized: ~64s -> ~30s (sleep-based -> event-based)"
),
html.Li(
[
"2 merged PRs in github-workflows (",
html.A(
"#360",
href=f"{GITHUB_WORKFLOWS_BASE}/360",
target="_blank",
style={
"color": BLUE,
"textDecoration": "none",
},
),
", ",
html.A(
"#361",
href=f"{GITHUB_WORKFLOWS_BASE}/361",
target="_blank",
style={
"color": BLUE,
"textDecoration": "none",
},
),
") adding uv workspace support",
]
),
],
style={
"color": SLATE,
"fontSize": "14px",
"lineHeight": "2.0",
"paddingLeft": "20px",
"margin": "0",
},
),
]
),
section("Estimated Cost Impact (platform-libs)"),
card(
[
table_header(
[
{"label": "", "flex": True},
{
"label": "Monthly",
"width": "140px",
"align": "right",
},
{
"label": "Annual",
"width": "140px",
"align": "right",
},
]
),
html.Div(
[
html.Div(
"GitHub Actions billing savings",
style={
"flex": "1",
"fontWeight": "600",
"color": SLATE,
"fontSize": "14px",
},
),
html.Div(
"$7",
style={
"width": "140px",
"textAlign": "right",
"color": SLATE,
"fontSize": "14px",
"fontFamily": MONO,
},
),
html.Div(
"$85",
style={
"width": "140px",
"textAlign": "right",
"color": SLATE,
"fontSize": "14px",
"fontFamily": MONO,
},
),
],
style={
"display": "flex",
"gap": "16px",
"padding": "12px 0",
"borderBottom": f"1px solid {CARD_BORDER}",
},
),
html.Div(
[
html.Div(
"Engineering wait time reduced",
style={
"flex": "1",
"fontWeight": "600",
"color": SLATE,
"fontSize": "14px",
},
),
html.Div(
"$5,640",
style={
"width": "140px",
"textAlign": "right",
"color": GREEN,
"fontSize": "14px",
"fontWeight": "700",
"fontFamily": MONO,
},
),
html.Div(
"$67,680",
style={
"width": "140px",
"textAlign": "right",
"color": GREEN,
"fontSize": "14px",
"fontWeight": "700",
"fontFamily": MONO,
},
),
],
style={
"display": "flex",
"gap": "16px",
"padding": "12px 0",
"borderBottom": f"1px solid {CARD_BORDER}",
},
),
html.P(
"Assumptions: 15 engineers, 5 CI pushes/engineer/day, $75/h loaded rate, 22 working days/month. "
"Engineering wait time is an upper-bound proxy for context-switching cost.",
style={
"color": LIGHT_GRAY,
"fontSize": "12px",
"marginTop": "12px",
},
),
]
),
section("Security Findings"),
html.Div(
[
html.Div(
[
html.Div(
"Dependency Confusion Risk",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
},
),
html.Span(
"High",
style={
"marginLeft": "12px",
"padding": "2px 10px",
"borderRadius": "999px",
"fontSize": "12px",
"fontWeight": "600",
"background": RED,
"color": DARK,
},
),
],
style={
"marginBottom": "12px",
"display": "flex",
"alignItems": "center",
},
),
html.P(
"Each of 28 platform-libs packages had its own index config pointing at the private "
"Azure DevOps feed with no explicit priority relative to PyPI. An attacker could publish "
"a malicious package with the same name as an internal package.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.P(
[
"Fix: ",
html.Span(
"PyPI set as default, private feed set as explicit, "
"all internal packages mapped as workspace sources.",
style={"fontWeight": "600"},
),
],
style={
"color": SLATE,
"fontSize": "14px",
"marginTop": "8px",
},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {RED}",
},
),
html.Div(
[
html.Div(
[
html.Div(
"CVE Patches Not Reaching Production",
style={
"fontWeight": "700",
"color": SLATE,
"fontSize": "16px",
},
),
html.Span(
"Critical",
style={
"marginLeft": "12px",
"padding": "2px 10px",
"borderRadius": "999px",
"fontSize": "12px",
"fontWeight": "600",
"background": RED,
"color": DARK,
},
),
],
style={
"marginBottom": "12px",
"display": "flex",
"alignItems": "center",
},
),
html.P(
"uv pip install in Docker builds bypassed the lockfile. Renovate CVE fix PRs were merged "
"and the lockfile updated, but production images never received the patches. "
"This also caused torch to pull CUDA variants, adding ~2.5 GB of unnecessary nvidia packages.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"margin": "0",
},
),
html.P(
"Unstructured processes sensitive documents for enterprise customers in regulated industries "
"(HIPAA, SOC 2, PCI-DSS). Unpatched CVEs in production are a compliance risk.",
style={
"color": GRAY,
"fontSize": "14px",
"lineHeight": "1.6",
"marginTop": "8px",
},
),
html.P(
[
"Fixed by Unstructured team: ",
html.A(
"#1465",
href=f"{CORE_PRODUCT_BASE}/1465",
target="_blank",
style={
"color": BLUE,
"fontWeight": "600",
"textDecoration": "none",
},
),
html.Span(
" (uv sync --locked) and ",
style={"fontWeight": "600"},
),
html.A(
"#1319",
href=f"{CORE_PRODUCT_BASE}/1319",
target="_blank",
style={
"color": BLUE,
"fontWeight": "600",
"textDecoration": "none",
},
),
html.Span(
" (Dockerfile layer caching).",
style={"fontWeight": "600"},
),
],
style={
"color": SLATE,
"fontSize": "14px",
"marginTop": "8px",
},
),
],
style={
**CARD,
"marginBottom": "16px",
"borderLeft": f"4px solid {RED}",
},
),
section("Benchmark Environment"),
dash_table.DataTable(
columns=[
{"name": "Parameter", "id": "param"},
{"name": "Value", "id": "value"},
],
data=[
{
"param": "VM",
"value": "Azure Standard_D8s_v5 (8 vCPU, 32 GB RAM)",
},
{"param": "OS", "value": "Ubuntu 20.04"},
{"param": "Python", "value": "3.12"},
{
"param": "Profiler",
"value": "memray --native (C/C++ malloc, mmap)",
},
{
"param": "Test Runner",
"value": "memray run --native -o {out}.bin --force -m pytest -v",
},
{
"param": "Baseline",
"value": "pre-Feb 2026 (4 OCR workers, os.cpu_count)",
},
{
"param": "Current",
"value": "main (serial OCR, sched_getaffinity)",
},
{
"param": "Protocol",
"value": "VM reboot + 5-min idle before each run",
},
{
"param": "Production Target",
"value": "Knative pods, 1 CPU / 32 GB RAM -> 4 GB recommended",
},
{
"param": "Test Scope",
"value": "18 common partition tests (od_only, hi_res, pptx, docx)",
},
],
**TABLE_STYLE,
),
],
)
# ── App ──────────────────────────────────────────────────────────────────────
app = Dash(
__name__,
meta_tags=[
{"name": "viewport", "content": "width=device-width, initial-scale=1"},
{
"property": "og:title",
"content": "Unstructured x Codeflash — Engagement Report",
},
{
"property": "og:description",
"content": "Performance optimization results: 87.5% memory reduction, 14.4% latency improvement",
},
],
suppress_callback_exceptions=True,
)
app.title = "Unstructured x Codeflash — Engagement Report"
app.index_string = """<!DOCTYPE html>
<html>
<head>
{%metas%}
<title>{%title%}</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700;800&family=JetBrains+Mono:wght@400;600;700&display=swap" rel="stylesheet">
{%favicon%}
{%css%}
</head>
<body>
{%app_entry%}
<footer>
{%config%}
{%scripts%}
{%renderer%}
</footer>
</body>
</html>"""
app.layout = html.Div(
style={"background": BG, "minHeight": "100vh", "fontFamily": FONT},
children=[
# ── Hero ──
html.Div(
style={
"background": f"linear-gradient(135deg, {DARK} 0%, #1c1917 50%, {DARK} 100%)",
"padding": "60px 24px 52px",
"textAlign": "center",
"borderBottom": f"1px solid {CARD_BORDER}",
},
children=[
html.Div(
"UNSTRUCTURED",
style={
"fontSize": "13px",
"fontWeight": "700",
"color": ACCENT,
"letterSpacing": "0.15em",
"marginBottom": "12px",
},
),
html.H1(
"Codeflash Engagement Report",
style={
"color": WHITE,
"fontSize": "36px",
"fontWeight": "800",
"margin": "0",
"letterSpacing": "-0.02em",
"fontFamily": FONT,
},
),
html.P(
"core-product performance optimization, CI/CD modernization, and security hardening",
style={
"color": GRAY,
"fontSize": "17px",
"margin": "12px auto 0",
"maxWidth": "700px",
},
),
html.Div(
style={
"marginTop": "24px",
"display": "flex",
"justifyContent": "center",
"gap": "24px",
"flexWrap": "wrap",
},
children=[
html.Span(
"March - April 2026",
style={"color": LIGHT_GRAY, "fontSize": "13px"},
),
html.Span("|", style={"color": LIGHT_GRAY}),
html.Span(
"12 PRs merged",
style={"color": LIGHT_GRAY, "fontSize": "13px"},
),
html.Span("|", style={"color": LIGHT_GRAY}),
html.Span(
"7 PRs in progress",
style={"color": LIGHT_GRAY, "fontSize": "13px"},
),
html.Span("|", style={"color": LIGHT_GRAY}),
html.Span(
"3 repos",
style={"color": LIGHT_GRAY, "fontSize": "13px"},
),
],
),
],
),
# ── Content ──
html.Div(
style={
"maxWidth": "960px",
"margin": "0 auto",
"padding": "0 24px 80px",
},
children=[
# ── Hero Metrics ──
html.Div(
style={
"display": "flex",
"gap": "20px",
"flexWrap": "wrap",
"marginTop": "-40px",
"position": "relative",
"zIndex": "1",
},
children=[
hero_metric(
"32 \u2192 4 GB",
"K8s Pod Memory",
"87.5% infrastructure reduction",
GREEN,
),
hero_metric(
"-60%",
"Peak RSS",
"3,491 MB \u2192 1,398 MB post-partition",
GREEN,
),
hero_metric(
"-14.4%",
"Latency",
"604 ms/page eliminated from OCR pipeline",
ACCENT,
),
hero_metric(
"0",
"Regressions",
"348 tests pass, zero breakage",
ACCENT,
),
],
),
# ── View Toggle ──
html.Div(
style={
"display": "flex",
"justifyContent": "center",
"margin": "40px 0 8px",
},
children=[
html.Div(
style={
"display": "inline-flex",
"background": CARD_BG,
"borderRadius": "12px",
"padding": "4px",
"border": f"1px solid {CARD_BORDER}",
},
children=[
html.Button(
"Executive Brief",
id="btn-exec",
n_clicks=1,
style={
"padding": "10px 24px",
"border": "none",
"borderRadius": "8px",
"cursor": "pointer",
"fontSize": "14px",
"fontWeight": "600",
"fontFamily": FONT,
"background": ACCENT,
"color": DARK,
"transition": "all 0.2s",
},
),
html.Button(
"Engineering Team",
id="btn-team",
n_clicks=0,
style={
"padding": "10px 24px",
"border": "none",
"borderRadius": "8px",
"cursor": "pointer",
"fontSize": "14px",
"fontWeight": "600",
"fontFamily": FONT,
"background": "transparent",
"color": GRAY,
"transition": "all 0.2s",
},
),
html.Button(
"Full Detail",
id="btn-detail",
n_clicks=0,
style={
"padding": "10px 24px",
"border": "none",
"borderRadius": "8px",
"cursor": "pointer",
"fontSize": "14px",
"fontWeight": "600",
"fontFamily": FONT,
"background": "transparent",
"color": GRAY,
"transition": "all 0.2s",
},
),
],
),
],
),
# ═════════════════════════════════════════════════════════════════════
# VIEW 1: EXECUTIVE BRIEF
# For Chris Maddock (SVP Eng) and JPC
# ═════════════════════════════════════════════════════════════════════
build_exec_view(),
# ═════════════════════════════════════════════════════════════════════
# VIEW 2: ENGINEERING TEAM
# For Crag's team — what changed, in plain language, with commit refs
# ═════════════════════════════════════════════════════════════════════
build_team_view(),
# ═════════════════════════════════════════════════════════════════════
# VIEW 3: FULL DETAIL
# Per-PR inventory, benchmarks, methodology
# ═════════════════════════════════════════════════════════════════════
build_detail_view(),
# ── Footer (always visible) ──
html.Div(
style={
"textAlign": "center",
"marginTop": "64px",
"paddingTop": "24px",
"borderTop": f"1px solid {CARD_BORDER}",
},
children=[
html.Div(
"UNSTRUCTURED",
style={
"fontSize": "11px",
"fontWeight": "700",
"color": ACCENT,
"letterSpacing": "0.15em",
"marginBottom": "4px",
},
),
html.P(
"Codeflash Engagement Report — April 2026",
style={
"color": LIGHT_GRAY,
"fontSize": "13px",
"margin": "0",
},
),
],
),
],
),
],
)
# ── Toggle callback ──
clientside_callback(
"""
function(exec_c, team_c, detail_c) {
exec_c = exec_c || 0;
team_c = team_c || 0;
detail_c = detail_c || 0;
var base = {
"padding": "10px 24px", "border": "none", "borderRadius": "8px",
"cursor": "pointer", "fontSize": "14px", "fontWeight": "600",
"fontFamily": "'Inter', system-ui, -apple-system, sans-serif",
"transition": "all 0.2s"
};
var active = Object.assign({}, base, {"background": "#ffd227", "color": "#09090b"});
var inactive = Object.assign({}, base, {"background": "transparent", "color": "#a1a1aa"});
var show = {"display": "block"};
var hide = {"display": "none"};
var mx = Math.max(exec_c, team_c, detail_c);
if (detail_c === mx && detail_c > 0) return [hide, hide, show, inactive, inactive, active];
if (team_c === mx && team_c > 0) return [hide, show, hide, inactive, active, inactive];
return [show, hide, hide, active, inactive, inactive];
}
""",
Output("exec-view", "style"),
Output("team-view", "style"),
Output("detail-view", "style"),
Output("btn-exec", "style"),
Output("btn-team", "style"),
Output("btn-detail", "style"),
Input("btn-exec", "n_clicks"),
Input("btn-team", "n_clicks"),
Input("btn-detail", "n_clicks"),
)
server = app.server
if __name__ == "__main__":
app.run(debug=False, port=8050)
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