feat: Implement Sprint 8 - Portfolio website expansion (MVP)
New pages: - Home: Redesigned with hero, impact stats, featured project - About: 6-section professional narrative - Projects: Hub with 4 project cards and status badges - Resume: Inline display with download placeholders - Contact: Form UI (disabled) with contact info - Blog: Markdown-based system with frontmatter support Infrastructure: - Blog system with markdown loader (python-frontmatter, markdown, pygments) - Sidebar callback for active state highlighting on navigation - Separated navigation into main pages and projects/dashboards groups Closes #36, #37, #38, #39, #40, #41, #42, #43 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -1,81 +1,118 @@
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"""Bio landing page."""
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"""Home landing page - Portfolio entry point."""
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import dash
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import dash_mantine_components as dmc
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from dash import dcc
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from dash_iconify import DashIconify
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dash.register_page(__name__, path="/", name="Home")
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# Content from bio_content_v2.md
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HEADLINE = "Leo | Data Engineer & Analytics Developer"
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TAGLINE = "I build data infrastructure that actually gets used."
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# Hero content from blueprint
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HEADLINE = "I turn messy data into systems that actually work."
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SUBHEAD = (
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"Data Engineer & Analytics Specialist. 8 years building pipelines, dashboards, "
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"and the infrastructure nobody sees but everyone depends on. Based in Toronto."
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)
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SUMMARY = """Over the past 5 years, I've designed and evolved an enterprise analytics platform
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from scratch—now processing 1B+ rows across 21 tables with Python-based ETL pipelines and
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dbt-style SQL transformations. The result: 40% efficiency gains, 30% reduction in call
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abandon rates, and dashboards that executives actually open.
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My approach: dimensional modeling (star schema), layered transformations
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(staging → intermediate → marts), and automation that eliminates manual work.
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I've built everything from self-service analytics portals to OCR-powered receipt processing systems.
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Currently at Summitt Energy supporting multi-market operations across Canada and 8 US states.
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Previously cut my teeth on IT infrastructure projects at Petrobras (Fortune 500) and the
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Project Management Institute."""
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TECH_STACK = [
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"Python",
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"Pandas",
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"SQLAlchemy",
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"FastAPI",
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"SQL",
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"PostgreSQL",
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"MSSQL",
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"Power BI",
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"Plotly/Dash",
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"dbt patterns",
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"Genesys Cloud",
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# Impact metrics
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IMPACT_STATS = [
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{"value": "1B+", "label": "Rows processed daily across enterprise platform"},
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{"value": "40%", "label": "Efficiency gain through automation"},
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{"value": "5 Years", "label": "Building DataFlow from zero"},
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]
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PROJECTS = [
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{
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"title": "Toronto Housing Dashboard",
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"description": "Choropleth visualization of GTA real estate trends with TRREB and CMHC data.",
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"status": "In Development",
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"link": "/toronto",
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},
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{
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"title": "Energy Pricing Analysis",
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"description": "Time series analysis and ML prediction for utility market pricing.",
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"status": "Planned",
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"link": "/energy",
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},
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]
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# Featured project
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FEATURED_PROJECT = {
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"title": "Toronto Housing Market Dashboard",
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"description": (
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"Real-time analytics on Toronto's housing trends. "
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"dbt-powered ETL, Python scraping, Plotly visualization."
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),
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"status": "Live",
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"dashboard_link": "/toronto",
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"repo_link": "https://github.com/leomiranda/personal-portfolio",
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}
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AVAILABILITY = "Open to Senior Data Analyst, Analytics Engineer, and BI Developer opportunities in Toronto or remote."
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# Brief intro
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INTRO_TEXT = (
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"I'm a data engineer who's spent the last 8 years in the trenches—building the "
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"infrastructure that feeds dashboards, automates the boring stuff, and makes data "
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"actually usable. Most of my work has been in contact center operations and energy, "
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"where I've had to be scrappy: one-person data teams, legacy systems, stakeholders "
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"who need answers yesterday."
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)
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INTRO_CLOSING = "I like solving real problems, not theoretical ones."
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def create_hero_section() -> dmc.Stack:
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"""Create the hero section with name and tagline."""
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"""Create the hero section with headline, subhead, and CTAs."""
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return dmc.Stack(
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[
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dmc.Title(HEADLINE, order=1, ta="center"),
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dmc.Text(TAGLINE, size="xl", c="dimmed", ta="center"),
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dmc.Title(
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HEADLINE,
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order=1,
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ta="center",
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size="2.5rem",
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),
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dmc.Text(
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SUBHEAD,
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size="lg",
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c="dimmed",
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ta="center",
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maw=700,
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mx="auto",
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),
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dmc.Group(
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[
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dcc.Link(
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dmc.Button(
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"View Projects",
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size="lg",
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variant="filled",
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leftSection=DashIconify(icon="tabler:folder", width=20),
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),
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href="/projects",
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),
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dcc.Link(
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dmc.Button(
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"Get In Touch",
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size="lg",
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variant="outline",
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leftSection=DashIconify(icon="tabler:mail", width=20),
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),
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href="/contact",
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),
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],
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justify="center",
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gap="md",
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mt="md",
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),
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],
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gap="xs",
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gap="md",
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py="xl",
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)
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def create_summary_section() -> dmc.Paper:
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"""Create the professional summary section."""
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paragraphs = SUMMARY.strip().split("\n\n")
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def create_impact_stat(stat: dict[str, str]) -> dmc.Stack:
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"""Create a single impact stat."""
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return dmc.Stack(
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[
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dmc.Text(stat["value"], fw=700, size="2rem", ta="center"),
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dmc.Text(stat["label"], size="sm", c="dimmed", ta="center"),
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],
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gap="xs",
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align="center",
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)
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def create_impact_strip() -> dmc.Paper:
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"""Create the impact statistics strip."""
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return dmc.Paper(
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dmc.Stack(
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[
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dmc.Title("About", order=2, size="h3"),
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*[dmc.Text(p.replace("\n", " "), size="md") for p in paragraphs],
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],
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gap="md",
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dmc.SimpleGrid(
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[create_impact_stat(stat) for stat in IMPACT_STATS],
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cols={"base": 1, "sm": 3},
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spacing="xl",
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),
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p="xl",
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radius="md",
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@@ -83,16 +120,56 @@ def create_summary_section() -> dmc.Paper:
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)
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def create_tech_stack_section() -> dmc.Paper:
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"""Create the tech stack section with badges."""
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def create_featured_project() -> dmc.Paper:
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"""Create the featured project card."""
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return dmc.Paper(
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dmc.Stack(
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[
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dmc.Title("Tech Stack", order=2, size="h3"),
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dmc.Group(
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[
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dmc.Badge(tech, size="lg", variant="light", radius="sm")
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for tech in TECH_STACK
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dmc.Title("Featured Project", order=2, size="h3"),
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dmc.Badge(
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FEATURED_PROJECT["status"],
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color="green",
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variant="light",
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size="lg",
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),
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],
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justify="space-between",
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),
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dmc.Title(
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FEATURED_PROJECT["title"],
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order=3,
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size="h4",
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),
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dmc.Text(
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FEATURED_PROJECT["description"],
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size="md",
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c="dimmed",
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),
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dmc.Group(
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[
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dcc.Link(
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dmc.Button(
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"View Dashboard",
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variant="light",
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leftSection=DashIconify(
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icon="tabler:chart-bar", width=18
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),
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),
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href=FEATURED_PROJECT["dashboard_link"],
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),
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dmc.Anchor(
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dmc.Button(
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"View Repository",
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variant="subtle",
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leftSection=DashIconify(
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icon="tabler:brand-github", width=18
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),
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),
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href=FEATURED_PROJECT["repo_link"],
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target="_blank",
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),
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],
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gap="sm",
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),
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@@ -105,38 +182,13 @@ def create_tech_stack_section() -> dmc.Paper:
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)
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def create_project_card(project: dict[str, str]) -> dmc.Card:
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"""Create a project card."""
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status_color = "blue" if project["status"] == "In Development" else "gray"
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return dmc.Card(
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[
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dmc.Group(
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[
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dmc.Text(project["title"], fw=500, size="lg"),
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dmc.Badge(project["status"], color=status_color, variant="light"),
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],
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justify="space-between",
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align="center",
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),
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dmc.Text(project["description"], size="sm", c="dimmed", mt="sm"),
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],
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withBorder=True,
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radius="md",
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p="lg",
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)
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def create_projects_section() -> dmc.Paper:
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"""Create the portfolio projects section."""
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def create_intro_section() -> dmc.Paper:
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"""Create the brief intro section."""
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return dmc.Paper(
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dmc.Stack(
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[
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dmc.Title("Portfolio Projects", order=2, size="h3"),
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dmc.SimpleGrid(
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[create_project_card(p) for p in PROJECTS],
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cols={"base": 1, "sm": 2},
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spacing="lg",
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),
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dmc.Text(INTRO_TEXT, size="md"),
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dmc.Text(INTRO_CLOSING, size="md", fw=500, fs="italic"),
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],
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gap="md",
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),
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@@ -146,20 +198,13 @@ def create_projects_section() -> dmc.Paper:
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)
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def create_availability_section() -> dmc.Text:
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"""Create the availability statement."""
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return dmc.Text(AVAILABILITY, size="sm", c="dimmed", ta="center", fs="italic")
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layout = dmc.Container(
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dmc.Stack(
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[
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create_hero_section(),
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create_summary_section(),
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create_tech_stack_section(),
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create_projects_section(),
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dmc.Divider(my="lg"),
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create_availability_section(),
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create_impact_strip(),
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create_featured_project(),
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create_intro_section(),
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dmc.Space(h=40),
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],
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gap="xl",
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