Vector-native PDF diagram toolkit for ReportLab Platypus
Project description
Transparency Notice: Built to solve my own frustration with inconsistent AI-generated notes. Heavy AI assistance was used for code generation, but the architecture, testing, and curation are mine.
📊 engrapha_diagrams
Project Status: Early alpha — feedback welcome!
Vector-native PDF diagram toolkit for ReportLab Platypus. Draw complex diagrams natively inside your ReportLab documents with a clean, pythonic API.
No raster images, no external command-line tools, and no internet connection required. All diagram types compile directly to reportlab.graphics.shapes.Drawing objects that wrap seamlessly as Platypus Flowables.
🚀 Features
- Flowchart: ANSI/ISO flowchart symbols (terminals, processes, decisions, io, connectors).
- SequenceDiagram: UML sequence diagrams (actors, lifelines, activation bars, message arrows, dividers).
- ClassDiagram: UML class diagrams (class boxes, headers, attributes, methods, relations).
- ERDiagram: Entity-Relationship diagrams (entities, relations, primary key and multi-value attributes).
- StateMachine: DFA/NFA and process state diagrams (states, transitions, initial/accepting indicators).
- NetworkDiagram: Network topology (hosts, servers, databases, links).
- ArchitectureDiagram: System architecture topologies with clients, services, databases, queues, and auto-routed connections.
- AWSDiagram: Cloud infrastructure architecture with AWS icons (EC2, S3, RDS, Lambda, SQS).
- GitDiagram: Git branch timeline diagrams with commits, merges, and distinct branch lanes.
- SchemaDiagram: Database table schema definition diagrams with field types, primary keys, and foreign-key links.
- C4ContainerDiagram: C4 Model container diagrams with System Context, Container, Component layers, and descriptive relationships.
- TimingDiagram: Digital waveform timing diagrams.
- LayeredStack: OSI model, TCP/IP stack, memory hierarchy.
- Standalone Export: Save drawings directly to PDF, SVG, and PNG/JPG formats.
📦 Installation
Install the package locally from the monorepo root:
pip install ./packages/engrapha_diagrams
🎨 Supported Diagram Types & Examples
1. Flowchart
Draw processes, decisions, and connectors with auto-layout or manual coordinates.
import engrapha_diagrams as ed
# Create a horizontal flowchart with a custom scale factor
fc = ed.Flowchart(
width=400,
height=150,
direction="LR", # 'TB' (top-to-bottom, default) or 'LR' (left-to-right)
scale_factor=1.0, # Optional manual override for text/box sizing (default: auto-computed)
)
fc.terminal("start", "START")
fc.process("calc", "Compute Sum")
fc.decision("check", "Sum > 100?")
fc.terminal("end", "END")
fc.edge("start", "calc")
fc.edge("calc", "check")
fc.edge("check", "end", branch="yes")
fc.edge("check", "calc", branch="no", orthogonal=True)
2. Sequence Diagram
Draw actor interactions over lifelines.
import engrapha_diagrams as ed
seq = ed.SequenceDiagram(width=400, height=220)
seq.actor("c", "Client")
seq.actor("s", "Server")
seq.activate("c")
seq.message("c", "s", "HTTP GET /index.html")
seq.activate("s")
seq.divider("Internal Processing")
# Arrow styles: 'solid' (default), 'dashed', 'solid_open', 'dashed_open'
seq.message("s", "c", "200 OK (HTML Document)", arrow="dashed")
seq.deactivate("s")
seq.deactivate("c")
3. Layered Stack
Draw OSI stacks, memory hierarchies, or layered architectures.
import engrapha_diagrams as ed
stack = ed.LayeredStack(width=300, height=180)
stack.layer("Application", sublabel="HTTP, DNS")
stack.layer("Transport", sublabel="TCP, UDP")
stack.divider() # Draw a thicker divider line after Transport layer
stack.layer("Network", sublabel="IP, ICMP")
stack.layer("Link", sublabel="Ethernet")
4. Network Diagram
Draw network topologies with hosts, clouds, switches, routers, and firewalls.
import engrapha_diagrams as ed
net = ed.NetworkDiagram(width=500, height=220)
net.node("inet", "Internet", x=50, y=110, kind="cloud")
net.node("fw", "Firewall", x=160, y=110, kind="firewall")
net.node("sw", "Core Switch", x=270, y=110, kind="switch")
net.node("srv", "Web Server", x=380, y=150, kind="server")
net.node("db", "Database", x=380, y=70, kind="database")
net.link("inet", "fw")
net.link("fw", "sw")
net.link("sw", "srv")
net.link("sw", "db")
# Also supports building standard topologies programmatically:
# net.star_topology(center_id="sw", center_label="Switch", spoke_ids=["h1", "h2", "h3"])
# net.bus_topology(node_ids=["n1", "n2", "n3"])
# net.ring_topology(node_ids=["r1", "r2", "r3"])
# net.mesh_topology(node_ids=["m1", "m2", "m3"])
# net.tree_topology(parent_child_map={"root": ["child1", "child2"]})
5. UML Class Diagram
Draw UML class diagrams with visibility, attributes, and methods.
import engrapha_diagrams as ed
cd = ed.ClassDiagram(width=400, height=250, class_w=120)
cd.uml_class("Shape", "Shape", stereotype="abstract", methods=["+ area(): double"])
cd.uml_class("Circle", "Circle", attributes=["- radius: double"], methods=["+ area(): double"])
# Relationship kinds: 'inheritance', 'realization', 'composition', 'aggregation', 'association', 'dependency'
cd.relate("Circle", "Shape", kind="inheritance")
6. Entity-Relationship Diagram (ER)
Draw entity-relationship diagrams (Chen notation) with cardinalities.
import engrapha_diagrams as ed
er = ed.ERDiagram(width=450, height=200)
er.entity("Customer")
er.relationship("Buys")
er.entity("Product")
er.entity_attributes("Customer", [("ID", {"pk": True}), "Name"])
er.entity_attributes("Product", [("SKU", {"pk": True}), "Price"])
er.connect("Customer", "Buys", card_from="1", card_to="N")
er.connect("Product", "Buys", card_from="1", card_to="N")
7. State Machine (DFA / Process Transitions)
Draw finite state automata or lifecycle models.
import engrapha_diagrams as ed
sm = ed.StateMachine(width=400, height=180)
sm.state("s0", "Init", x=70, y=90, initial=True)
sm.state("s1", "Active", x=200, y=90)
sm.state("s2", "Success", x=330, y=90, accepting=True)
sm.transition("s0", "s1", label="start")
sm.transition("s1", "s1", label="process")
sm.transition("s1", "s2", label="complete")
8. Timing Diagram
Draw digital timing signal waveforms.
import engrapha_diagrams as ed
td = ed.TimingDiagram(width=400, height=150)
td.clock("CLK", period=20.0, cycles=6)
td.signal("RESET", transitions=[(0, 1), (15, 0)])
td.signal("DATA", transitions=[(0, 0), (35, 1), (75, 0)])
9. Database Schema Diagram
Draw database table structures with primary/foreign keys and relationships.
import engrapha_diagrams as ed
schema = ed.SchemaDiagram(width=450, height=200)
schema.table("users", [
("id", "INTEGER", {"pk": True}),
("email", "VARCHAR", {}),
("created_at", "TIMESTAMP", {})
])
schema.table("orders", [
("id", "INTEGER", {"pk": True}),
("user_id", "INTEGER", {"fk": True}),
("total", "DECIMAL", {})
])
schema.relation("orders", "user_id", "users", "id")
10. Service Architecture Diagram
Draw multi-tier system topologies (clients, microservices, databases, queues) with automatic or manual layouts.
import engrapha_diagrams as ed
# Supports orientation: 'horizontal' (default) or 'vertical'
arch = ed.ArchitectureDiagram(width=450, height=220, orientation="horizontal")
arch.client("web", "Web Client")
arch.service("api", "Gateway API")
arch.database("db", "Main Database")
arch.queue("q", "Message Broker")
arch.connect("web", "api", "HTTPS")
arch.connect("api", "db", "TCP/3306")
arch.connect("api", "q", "AMQP")
11. C4 Container Diagram
Draw C4 Model Container views to document software systems, containers, technologies, and relationships.
import engrapha_diagrams as ed
c4 = ed.C4ContainerDiagram(width=400, height=200)
c4.system("user", "Customer")
c4.container("web", "SPA (React)", "Provides shopping UI")
c4.container("api", "API Application (Go)", "Handles business logic")
c4.container("db", "Database (Postgres)", "Stores order data")
c4.relate("user", "web", "Uses")
c4.relate("web", "api", "Makes API calls to")
c4.relate("api", "db", "Reads/Writes to")
12. Git Branch Flow Diagram
Draw commits, branch lanes, merges, and timelines horizontally.
import engrapha_diagrams as ed
git = ed.GitDiagram(width=400, height=150)
git.commit("main", "C1: Initial Commit")
git.branch("main", "feature")
git.commit("feature", "C2: Implement login")
git.commit("main", "C3: Hotfix bug")
git.merge("feature", "main", "C4: Merge feature/login")
13. AWS Diagram
Draw AWS cloud infrastructure diagrams using vector-native AWS icons.
import engrapha_diagrams as ed
# Supports orientation: 'horizontal' (default) or 'vertical'
aws = ed.AWSDiagram(width=450, height=220, orientation="horizontal")
# Supported node methods: ec2(), rds(), s3(), lambda_fn(), sqs()
aws.ec2("web", "Web Server")
aws.rds("db", "RDS PostgreSQL")
aws.s3("bucket", "S3 Storage")
aws.sqs("queue", "Job Queue")
aws.connect("web", "db", "SQL Connection")
aws.connect("web", "bucket", "Uploads")
aws.connect("web", "queue", "Events")
🎨 Diagram Theming & Integration
engrapha_diagrams comes with built-in dark and light themes, and can dynamically inherit themes from engrapha_notes for consistent visual layouts.
1. Using Preset Diagram Themes
Apply a theme directly to your builder instance:
import engrapha_diagrams as ed
# Use preset theme (ed.DARK or ed.LIGHT)
diagram = ed.Flowchart(width=300, height=200, theme=ed.LIGHT)
2. Matching Notes Theme (Integration)
Derive matching diagram settings from the active document notes theme:
import engrapha_notes as en
import engrapha_diagrams as ed
# 1. Set the notes theme
en.set_theme(en.OCEAN_DARK)
# 2. Derive the matching diagram theme
diag_theme = ed.DiagramTheme.from_notes_theme(en.get_theme())
# 3. Apply it to your diagrams
fc = ed.Flowchart(width=400, height=200, theme=diag_theme)
3. Customizing & Overriding Themes
Modify a theme on the fly using model_copy(update={...}):
# Create a print-optimized black-and-white diagram theme
bw_theme = ed.DiagramTheme.from_notes_theme(en.get_theme()).model_copy(
update={
"stack_colors": ("#ffffff", "#ffffff", "#ffffff"),
"stack_stroke": "#000000",
"stack_text": "#000000",
"stack_sublabel_text": "#000000",
"bg": "#ffffff",
"text": "#000000",
"node_fill": "#ffffff",
"node_stroke": "#000000",
"node_text": "#000000",
"font_name": "Times-Roman",
"font_name_bold": "Times-Bold",
"font_name_italic": "Times-Italic",
}
)
# Apply to stack diagram
stack = ed.LayeredStack(width=300, height=180, theme=bw_theme)
💾 Standalone Export
Export your diagrams directly to vector or raster formats without a ReportLab story:
diagram = ed.Flowchart(width=300, height=200)
diagram.terminal("s", "START").terminal("e", "END").edge("s", "e")
# Save to PDF (vector)
diagram.save("output.pdf")
# Save to SVG (vector)
diagram.save("output.svg")
# Save to PNG (raster)
diagram.save("output.png")
📝 Integration with engrapha_notes
To embed a vector diagram into an Engrapha notes document, call .as_flowable() and pass it to en.add(...):
import engrapha_notes as en
import engrapha_diagrams as ed
fc = ed.Flowchart(width=en.CW, height=200)
fc.terminal("s", "START").terminal("e", "END").edge("s", "e")
# Add the diagram flowables directly
en.add(fc.as_flowable())
Static Type-Checking (Pyright / Pylance)
If you see static type warnings in your IDE:
Argument of type "list[Unknown]" cannot be assigned to parameter "x" of type "Flowable" in function "add"
This happens because .as_flowable() returns a list[Flowable] (which packages the drawing flowable along with its optional caption Paragraph flowable) rather than a single raw Flowable.
engrapha_notes handles this union type cleanly. Calling en.add(diagram.as_flowable()) is type-safe and fully compliant.
💻 Command Line Interface (CLI)
The package exposes a command-line script alias to show a comprehensive API guide and Markdown DSL reference:
engrapha-diagrams
# or: engrapha-diagram, engrapha_diagrams, engrapha_diagram, pdfdiagrams, pdfdiagram
Run it to display:
- Complete Python constructors and methods for all 13 diagram types.
- Standalone export guidelines.
- Matching diagram settings and themes.
- Full syntax reference for the diagram DSL (used when embedding drawings in
engrapha-notesMarkdown compiler documents).
[!IMPORTANT] Compilation requires
engrapha: The diagram CLI (engrapha-diagrams) is for reference only. To actually compile a Markdown document containing these diagram blocks, you must install theengrapha-notespackage and use the mainengraphacompiler CLI:pip install engrapha-notes[all] engrapha input.md --output output.pdf
📋 Requirements & License
- Python >= 3.11
- reportlab >= 4.5.1
- pydantic >= 2.13.4
- Licensed under the MIT License.
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