personal-portfolio/CLAUDE.md

CLAUDE.md

Working context for Claude Code on the Analytics Portfolio project.

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Project Status

Last Completed Sprint: 9 (Neighbourhood Dashboard Transition) Current State: Ready for deployment sprint or new features Branch: development (feature branches merge here)

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Quick Reference

Run Commands

make setup          # Install deps, create .env, init pre-commit
make docker-up      # Start PostgreSQL + PostGIS (auto-detects x86/ARM)
make docker-down    # Stop containers
make db-init        # Initialize database schema
make run            # Start Dash dev server
make test           # Run pytest
make lint           # Run ruff linter
make format         # Run ruff formatter
make ci             # Run all checks

Branch Workflow

1. Create feature branch FROM development: git checkout -b feature/{sprint}-{description}
2. Work and commit on feature branch
3. Merge INTO development when complete
4. development -> staging -> main for releases

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Code Conventions

Import Style

Context	Style	Example
Same directory	Single dot	from .neighbourhood import NeighbourhoodRecord
Sibling directory	Double dot	from ..schemas.neighbourhood import CensusRecord
External packages	Absolute	import pandas as pd

Module Responsibilities

Directory	Contains	Purpose
schemas/	Pydantic models	Data validation
models/	SQLAlchemy ORM	Database persistence
parsers/	API/CSV extraction	Raw data ingestion
loaders/	Database operations	Data loading
figures/	Chart factories	Plotly figure generation
callbacks/	Dash callbacks	In pages/{dashboard}/callbacks/
errors/	Exceptions + handlers	Error handling

Type Hints

Use Python 3.10+ style:

def process(items: list[str], config: dict[str, int] | None = None) -> bool:
    ...

Error Handling

# errors/exceptions.py
class PortfolioError(Exception):
    """Base exception."""

class ParseError(PortfolioError):
    """PDF/CSV parsing failed."""

class ValidationError(PortfolioError):
    """Pydantic or business rule validation failed."""

class LoadError(PortfolioError):
    """Database load operation failed."""

Code Standards

• Single responsibility functions with verb naming
• Early returns over deep nesting
• Google-style docstrings only for non-obvious behavior
• Module-level constants for magic values
• Pydantic BaseSettings for runtime config

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Application Structure

portfolio_app/
├── app.py                    # Dash app factory with Pages routing
├── config.py                 # Pydantic BaseSettings
├── assets/                   # CSS, images (auto-served)
│   └── sidebar.css          # Navigation styling
├── callbacks/               # Global callbacks
│   ├── sidebar.py           # Sidebar toggle
│   └── theme.py             # Dark/light theme
├── pages/
│   ├── home.py              # Bio landing page -> /
│   ├── about.py             # About page -> /about
│   ├── contact.py           # Contact form -> /contact
│   ├── health.py            # Health endpoint -> /health
│   ├── projects.py          # Project showcase -> /projects
│   ├── resume.py            # Resume/CV -> /resume
│   ├── blog/
│   │   ├── index.py         # Blog listing -> /blog
│   │   └── article.py       # Blog article -> /blog/{slug}
│   └── toronto/
│       ├── dashboard.py     # Dashboard -> /toronto
│       ├── methodology.py   # Methodology -> /toronto/methodology
│       ├── tabs/            # 5 tab layouts (overview, housing, safety, demographics, amenities)
│       └── callbacks/       # Dashboard interactions
├── components/              # Shared UI (sidebar, cards, controls)
│   ├── metric_card.py       # KPI card component
│   ├── map_controls.py      # Map control panel
│   ├── sidebar.py           # Navigation sidebar
│   └── time_slider.py       # Time range selector
├── figures/                 # Shared chart factories
│   ├── choropleth.py        # Map visualizations
│   ├── bar_charts.py        # Ranking, stacked, horizontal bars
│   ├── scatter.py           # Scatter and bubble plots
│   ├── radar.py             # Radar/spider charts
│   ├── demographics.py      # Age pyramids, donut charts
│   ├── time_series.py       # Trend lines
│   └── summary_cards.py     # KPI figures
├── content/                 # Markdown content
│   └── blog/                # Blog articles
├── toronto/                 # Toronto data logic
│   ├── parsers/
│   ├── loaders/
│   ├── schemas/             # Pydantic
│   ├── models/              # SQLAlchemy
│   └── demo_data.py         # Sample data
├── utils/                   # Utilities
│   └── markdown_loader.py   # Markdown processing
└── errors/

notebooks/                   # Data documentation (Phase 6)
├── README.md                # Template and usage guide
├── overview/                # Overview tab notebooks (3)
├── housing/                 # Housing tab notebooks (3)
├── safety/                  # Safety tab notebooks (3)
├── demographics/            # Demographics tab notebooks (3)
└── amenities/               # Amenities tab notebooks (3)

URL Routing

URL	Page	Sprint
/	Bio landing page	2
/about	About page	8
/contact	Contact form	8
/health	Health endpoint	8
/projects	Project showcase	8
/resume	Resume/CV	8
/blog	Blog listing	8
/blog/{slug}	Blog article	8
/toronto	Toronto Dashboard	6
/toronto/methodology	Dashboard methodology	6

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Tech Stack (Locked)

Layer	Technology	Version
Database	PostgreSQL + PostGIS	16.x
Validation	Pydantic	>=2.0
ORM	SQLAlchemy	>=2.0 (2.0-style API only)
Transformation	dbt-postgres	>=1.7
Data Processing	Pandas	>=2.1
Geospatial	GeoPandas + Shapely	>=0.14
Visualization	Dash + Plotly	>=2.14
UI Components	dash-mantine-components	Latest stable
Testing	pytest	>=7.0
Python	3.11+	Via pyenv

Notes:

• SQLAlchemy 2.0 + Pydantic 2.0 only (never mix 1.x APIs)
• PostGIS extension required in database
• Docker Compose V2 format (no version field)
• Multi-architecture support: make docker-up auto-detects CPU architecture and uses the appropriate PostGIS image (x86_64: postgis/postgis, ARM64: imresamu/postgis)

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Data Model Overview

Geographic Reality (Toronto Housing)

City Neighbourhoods (158) - Primary geographic unit for analysis
CMHC Zones (~20)          - Rental data (Census Tract aligned)

Star Schema

Table	Type	Keys
fact_rentals	Fact	-> dim_time, dim_cmhc_zone
dim_time	Dimension	date_key (PK)
dim_cmhc_zone	Dimension	zone_key (PK), geometry
dim_neighbourhood	Dimension	neighbourhood_id (PK), geometry
dim_policy_event	Dimension	event_id (PK)

dbt Layers

Layer	Naming	Purpose
Staging	stg_{source}__{entity}	1:1 source, cleaned, typed
Intermediate	int_{domain}__{transform}	Business logic
Marts	mart_{domain}	Final analytical tables

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Deferred Features

Stop and flag if a task seems to require these:

Feature	Reason
Historical boundary reconciliation (140->158)	2021+ data only for V1
ML prediction models	Energy project scope (future phase)
Multi-project shared infrastructure	Build first, abstract second

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Environment Variables

Required in .env:

DATABASE_URL=postgresql://user:pass@localhost:5432/portfolio
POSTGRES_USER=portfolio
POSTGRES_PASSWORD=<secure>
POSTGRES_DB=portfolio
DASH_DEBUG=true
SECRET_KEY=<random>
LOG_LEVEL=INFO

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Script Standards

All scripts in scripts/:

• Include usage comments at top
• Idempotent where possible
• Exit codes: 0 = success, 1 = error
• Use set -euo pipefail for bash
• Log to stdout, errors to stderr

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Reference Documents

Document	Location	Use When
Project reference	docs/PROJECT_REFERENCE.md	Architecture decisions, completed work
Developer guide	docs/CONTRIBUTING.md	How to add pages, blog posts, tabs
Lessons learned	docs/project-lessons-learned/INDEX.md	Past issues and solutions

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Projman Plugin Workflow

CRITICAL: Always use the projman plugin for sprint and task management.

When to Use Projman Skills

Skill	Trigger	Purpose
/projman:sprint-plan	New sprint or phase implementation	Architecture analysis + Gitea issue creation
/projman:sprint-start	Beginning implementation work	Load lessons learned (Wiki.js or local), start execution
/projman:sprint-status	Check progress	Review blockers and completion status
/projman:sprint-close	Sprint completion	Capture lessons learned (Wiki.js or local backup)

Default Behavior

When user requests implementation work:

1. ALWAYS start with /projman:sprint-plan before writing code
2. Create Gitea issues with proper labels and acceptance criteria
3. Use /projman:sprint-start to begin execution with lessons learned
4. Track progress via Gitea issue comments
5. Close sprint with /projman:sprint-close to document lessons

Gitea Repository

• Repo: lmiranda/personal-portfolio
• Host: gitea.hotserv.cloud
• Note: lmiranda is a user account (not org), so label lookup may require repo-level labels

MCP Tools Available

Gitea:

• list_issues, get_issue, create_issue, update_issue, add_comment
• get_labels, suggest_labels

Wiki.js:

• search_lessons, create_lesson, search_pages, get_page

Lessons Learned (Backup Method)

When Wiki.js is unavailable, use the local backup in docs/project-lessons-learned/:

At Sprint Start:

1. Review docs/project-lessons-learned/INDEX.md for relevant past lessons
2. Search lesson files by tags/keywords before implementation
3. Apply prevention strategies from applicable lessons

At Sprint Close:

1. Try Wiki.js create_lesson first
2. If Wiki.js fails, create lesson in docs/project-lessons-learned/
3. Use naming convention: {phase-or-sprint}-{short-description}.md
4. Update INDEX.md with new entry
5. Follow the lesson template in INDEX.md

Migration: Once Wiki.js is configured, lessons will be migrated there for better searchability.

Issue Structure

Every Gitea issue should include:

• Overview: Brief description
• Files to Create/Modify: Explicit paths
• Acceptance Criteria: Checkboxes
• Technical Notes: Implementation hints
• Labels: Listed in body (workaround for label API issues)

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Last Updated: January 2026 (Post-Sprint 9)