Choreo Dependency: Comprehensive Walkthrough
# For Hex publication/readers:
# Mix.install([{:choreo, "~> 0.9"}, {:kino_vizjs, "~> 0.8.0"}])
# For local development:
Mix.install([
{:choreo, path: Path.expand("~/repos/elixir/choreo")},
{:kino_vizjs, "~> 0.8.0"}
])
What is Choreo.Dependency?
Choreo.Dependency maps software component relationships — applications, libraries, modules, interfaces, and tests — to help you visualise coupling, detect cycles, enforce architectural layers, and measure instability.
Unlike static dependency graphs drawn by hand, Choreo dependency graphs are analysable. You can ask:
- “What breaks if I change the Auth module?”
- “Where are the circular dependencies?”
- “Is the Repository layer calling the API layer?”
- “Which components are the most coupled?”
- “What’s the deepest dependency chain?”
Node Types
| Type | Shape | Purpose |
|---|---|---|
application |
📦 box3d | Deployable service or app |
library |
🛢️ cylinder | External or shared library |
module |
⬛ box | Internal code unit |
interface |
💎 diamond | API, contract, or protocol |
test |
📝 note | Test suite or spec |
Edge Types
| Type | Style | Meaning |
|---|---|---|
:uses |
solid | General dependency |
:imports |
dashed | Explicit import / require |
:calls |
solid | Runtime function call |
:inherits |
dotted | Inheritance / implementation |
:dev |
dashed grey | Development-only dependency |
alias Choreo.Dependency
alias Choreo.Dependency.Analysis
legend =
Dependency.new()
|> Dependency.add_application(:app, label: "Application")
|> Dependency.add_library(:lib, label: "Library")
|> Dependency.add_module(:mod, label: "Module")
|> Dependency.add_interface(:iface, label: "Interface")
|> Dependency.add_test(:test, label: "Test")
|> Dependency.depends_on(:app, :lib, type: :uses)
|> Dependency.depends_on(:app, :mod, type: :calls)
|> Dependency.depends_on(:mod, :iface, type: :inherits)
|> Dependency.depends_on(:test, :app, type: :dev)
tabs = [
{"Mermaid", Kino.Mermaid.new(Dependency.to_mermaid(legend))},
{"Class Diagram", Kino.Mermaid.new(Dependency.to_mermaid(legend, syntax: :class_diagram))},
{"Graphviz", Kino.VizJS.render(Dependency.to_dot(legend), engine: "twopi", height: "600px")},
]
Kino.Layout.tabs(tabs)
Example 1: Simple Microservice Dependencies
A classic three-service architecture: API Gateway, Auth Service, and User Service. Each depends on shared libraries and infrastructure.
microservices =
Dependency.new()
|> Dependency.add_application(:api_gateway, label: "API Gateway")
|> Dependency.add_application(:auth_service, label: "Auth Service")
|> Dependency.add_application(:user_service, label: "User Service")
|> Dependency.add_library(:phoenix, label: "Phoenix")
|> Dependency.add_library(:ecto, label: "Ecto")
|> Dependency.add_library(:jwt, label: "Joken JWT")
|> Dependency.add_library(:redis, label: "Redix")
|> Dependency.add_interface(:auth_iface, label: "AuthContract")
|> Dependency.add_test(:api_tests, label: "API Tests")
|> Dependency.add_test(:auth_tests, label: "Auth Tests")
|> Dependency.depends_on(:api_gateway, :phoenix, type: :uses)
|> Dependency.depends_on(:api_gateway, :auth_service, type: :calls)
|> Dependency.depends_on(:api_gateway, :user_service, type: :calls)
|> Dependency.depends_on(:auth_service, :phoenix, type: :uses)
|> Dependency.depends_on(:auth_service, :ecto, type: :uses)
|> Dependency.depends_on(:auth_service, :jwt, type: :imports)
|> Dependency.depends_on(:auth_service, :redis, type: :uses)
|> Dependency.depends_on(:auth_service, :auth_iface, type: :inherits)
|> Dependency.depends_on(:user_service, :phoenix, type: :uses)
|> Dependency.depends_on(:user_service, :ecto, type: :uses)
|> Dependency.depends_on(:user_service, :auth_iface, type: :inherits)
|> Dependency.depends_on(:api_tests, :api_gateway, type: :dev)
|> Dependency.depends_on(:auth_tests, :auth_service, type: :dev)
tabs = [
{"Mermaid", Kino.Mermaid.new(Dependency.to_mermaid(microservices))},
{"Graphviz", Kino.VizJS.render(Dependency.to_dot(microservices), height: "500px")}
]
Kino.Layout.tabs(tabs)
Impact Analysis
If you change the Auth Contract interface, what else might break?
Analysis.affected_by(microservices, :auth_iface)
|> IO.inspect(label: "Components affected by auth_iface changes")
Transitive Dependencies
What does the API Gateway need in order to function?
Analysis.depends_on(microservices, :api_gateway)
|> IO.inspect(label: "api_gateway transitively depends on")
Example 2: Layered Architecture with Violations
A well-designed system has layers: Repository (data access) → Service (business logic) → API (HTTP handlers). But during refactoring, layers can get crossed.
layers =
Dependency.new()
|> Dependency.add_cluster("data", label: "Data Layer", fillcolor: "#dbeafe")
|> Dependency.add_cluster("service", label: "Service Layer", fillcolor: "#dcfce7")
|> Dependency.add_cluster("api", label: "API Layer", fillcolor: "#fef3c7")
|> Dependency.add_module(:user_repo, label: "UserRepo", cluster: "data")
|> Dependency.add_module(:order_repo, label: "OrderRepo", cluster: "data")
|> Dependency.add_module(:user_service, label: "UserService", cluster: "service")
|> Dependency.add_module(:order_service, label: "OrderService", cluster: "service")
|> Dependency.add_module(:auth_service, label: "AuthService", cluster: "service")
|> Dependency.add_module(:api_controller, label: "APIController", cluster: "api")
|> Dependency.add_module(:web_socket, label: "WebSocket", cluster: "api")
# Correct flows
|> Dependency.depends_on(:user_service, :user_repo, type: :calls)
|> Dependency.depends_on(:order_service, :order_repo, type: :calls)
|> Dependency.depends_on(:auth_service, :user_repo, type: :calls)
|> Dependency.depends_on(:api_controller, :user_service, type: :calls)
|> Dependency.depends_on(:api_controller, :order_service, type: :calls)
|> Dependency.depends_on(:web_socket, :auth_service, type: :calls)
# VIOLATION: repo calls back up to API layer!
|> Dependency.depends_on(:order_repo, :api_controller, type: :calls)
# VIOLATION: API layer talks directly to another API module
|> Dependency.depends_on(:web_socket, :api_controller, type: :calls)
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(layers)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(layers), height: "500px")
)
Layer Enforcement
Define the expected layers and find violations:
layer_map = %{
user_repo: 1,
order_repo: 1,
user_service: 2,
order_service: 2,
auth_service: 2,
api_controller: 3,
web_socket: 3
}
Analysis.layer_violations(layers, layer_map)
|> Enum.each(fn {_from, _to, desc} ->
IO.puts("❌ #{desc}")
end)
The layer check flags edges where a lower-numbered layer (foundation) depends on a higher-numbered layer (presentation). In clean architecture, dependencies should only flow downward.
Transitive Reduction
Some dependencies are redundant. If A → B, B → C, and A → C, the direct A → C edge is often implied.
Analysis.transitive_reduction(layers)
|> IO.inspect(label: "Redundant edges")
Removing redundant edges simplifies the diagram without losing information.
Example 3: Circular Dependencies
The most dangerous pattern in dependency graphs. Let’s model a messy codebase and find the cycles.
messy =
Dependency.new()
|> Dependency.add_module(:cart, label: "Cart Module")
|> Dependency.add_module(:order, label: "Order Module")
|> Dependency.add_module(:payment, label: "Payment Module")
|> Dependency.add_module(:inventory, label: "Inventory Module")
|> Dependency.add_module(:shipping, label: "Shipping Module")
|> Dependency.add_module(:notification, label: "Notification Module")
# Cycle 1: cart ↔ order
|> Dependency.depends_on(:cart, :order, type: :calls)
|> Dependency.depends_on(:order, :cart, type: :imports)
# Cycle 2: order ↔ payment ↔ inventory → order
|> Dependency.depends_on(:order, :payment, type: :calls)
|> Dependency.depends_on(:payment, :inventory, type: :uses)
|> Dependency.depends_on(:inventory, :order, type: :calls)
# Clean edges
|> Dependency.depends_on(:order, :shipping, type: :calls)
|> Dependency.depends_on(:order, :notification, type: :calls)
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(messy)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(messy), height: "500px")
)
Finding Cycles
Analysis.cyclic_dependencies(messy)
|> Enum.each(fn cycle ->
path = Enum.join(cycle, " → ")
IO.puts("🔁 Cycle: #{path}")
end)
Validation
Analysis.validate(messy)
|> Enum.each(fn {sev, msg} ->
icon = if sev == :error, do: "❌", else: "⚠️"
IO.puts("#{icon} #{msg}")
end)
Isolated Subsystems
Build a graph with multiple disconnected groups to see isolated_subsystems/1 in action:
subsystems_graph =
Dependency.new()
# Group A: e-commerce
|> Dependency.add_module(:cart)
|> Dependency.add_module(:checkout)
|> Dependency.depends_on(:cart, :checkout)
# Group B: analytics
|> Dependency.add_module(:tracker)
|> Dependency.add_module(:reporter)
|> Dependency.depends_on(:tracker, :reporter)
# Group C: orphan
|> Dependency.add_module(:legacy_parser)
Analysis.isolated_subsystems(subsystems_graph)
|> Enum.each(fn component ->
IO.puts("Subsystem: #{Enum.join(Enum.sort(component), ", ")}")
end)
Example 4: Instability Metrics
Robert C. Martin’s instability metric measures how likely a component is to change. A component with many outgoing dependencies (efferent) and few incoming (afferent) is unstable — it depends on the world but the world doesn’t depend on it.
metrics =
Dependency.new()
|> Dependency.add_application(:api, label: "API")
|> Dependency.add_application(:auth, label: "Auth")
|> Dependency.add_application(:orders, label: "Orders")
|> Dependency.add_library(:phoenix, label: "Phoenix")
|> Dependency.add_library(:logger, label: "Logger")
|> Dependency.add_library(:config, label: "Config")
|> Dependency.depends_on(:api, :auth, type: :calls)
|> Dependency.depends_on(:api, :orders, type: :calls)
|> Dependency.depends_on(:api, :phoenix, type: :uses)
|> Dependency.depends_on(:auth, :phoenix, type: :uses)
|> Dependency.depends_on(:auth, :logger, type: :uses)
|> Dependency.depends_on(:orders, :phoenix, type: :uses)
|> Dependency.depends_on(:orders, :logger, type: :uses)
|> Dependency.depends_on(:orders, :config, type: :uses)
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(metrics)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(metrics), height: "500px")
)
Instability Scores
Analysis.instability(metrics)
|> Enum.sort_by(fn {_id, score} -> score end, :desc)
|> Enum.each(fn {id, score} ->
bar = String.duplicate("█", ceil(score * 10))
IO.puts("#{id}: #{:erlang.float_to_binary(score, decimals: 2)} #{bar}")
end)
- Score 0.0 (stable): Many things depend on it; it depends on nothing. Safe to change? No — high impact.
- Score 1.0 (unstable): Depends on many things; nothing depends on it. Safe to change? Yes — low impact.
Centrality Ranking
Which components are the most connected?
Analysis.centrality(metrics, limit: 5)
|> IO.inspect(label: "Most coupled components")
Leaves and Roots
IO.inspect(Analysis.leaves(metrics), label: "Components with no dependents (safe to change)")
IO.inspect(Analysis.roots(metrics), label: "Components with no dependencies (foundations)")
Example 5: Longest Dependency Chain
Long dependency chains slow down builds, tests, and deployments. Let’s find the longest one.
deep =
Dependency.new()
|> Dependency.add_module(:web, label: "Web Layer")
|> Dependency.add_module(:api, label: "API Layer")
|> Dependency.add_module(:service, label: "Service Layer")
|> Dependency.add_module(:repository, label: "Repository Layer")
|> Dependency.add_module(:db_client, label: "DB Client")
|> Dependency.add_module(:connection_pool, label: "Connection Pool")
|> Dependency.add_module(:tcp_stack, label: "TCP Stack")
|> Dependency.depends_on(:web, :api, type: :calls)
|> Dependency.depends_on(:api, :service, type: :calls)
|> Dependency.depends_on(:service, :repository, type: :calls)
|> Dependency.depends_on(:repository, :db_client, type: :calls)
|> Dependency.depends_on(:db_client, :connection_pool, type: :uses)
|> Dependency.depends_on(:connection_pool, :tcp_stack, type: :uses)
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(deep)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(deep), height: "800px")
)
Longest Chain
case Analysis.longest_dependency_chain(deep) do
{:ok, chain, length} ->
IO.puts("Longest chain (#{length} hops): #{Enum.join(chain, " → ")}")
:error ->
IO.puts("Graph contains cycles — longest chain undefined")
end
Example 6: Dependency Inversion in Practice
The Dependency Inversion Principle states that high-level modules should not depend on low-level modules; both should depend on abstractions. Start with a graph that violates this principle and use analysis to guide the refactor.
broken =
Dependency.new()
|> Dependency.add_module(:report_generator, label: "Report Generator")
|> Dependency.add_module(:pdf_exporter, label: "PDF Exporter")
|> Dependency.add_module(:email_sender, label: "Email Sender")
|> Dependency.add_module(:orphan, label: "Orphan")
# High-level Report Generator directly depends on low-level implementations
|> Dependency.depends_on(:report_generator, :pdf_exporter, type: :calls)
|> Dependency.depends_on(:report_generator, :email_sender, type: :calls)
# Circular: pdf_exporter calls back up to report_generator
|> Dependency.depends_on(:pdf_exporter, :report_generator, type: :calls)
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(broken)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(broken), engine: "circo")
)
Diagnosis
Analysis.validate(broken)
|> Enum.each(fn {sev, msg} ->
icon = if sev == :error, do: "❌", else: "⚠️"
IO.puts("#{icon} #{msg}")
end)
The Fix
Apply Dependency Inversion: introduce an interface so both high- and low-level modules depend on an abstraction instead of on each other.
fixed =
Dependency.new()
|> Dependency.add_module(:report_generator, label: "Report Generator")
|> Dependency.add_module(:pdf_exporter, label: "PDF Exporter")
|> Dependency.add_module(:email_sender, label: "Email Sender")
|> Dependency.add_interface(:exportable, label: "Exportable")
# High-level module depends on the abstraction
|> Dependency.depends_on(:report_generator, :exportable, type: :inherits)
# Low-level modules implement the abstraction
|> Dependency.depends_on(:pdf_exporter, :exportable, type: :inherits)
|> Dependency.depends_on(:email_sender, :exportable, type: :inherits)
IO.puts("After applying DIP:")
Analysis.validate(fixed) |> IO.inspect()
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(fixed)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(fixed), height: "500px")
)
Example 7: Custom Theming
Build a theme that matches your organisation’s brand colours.
brand_theme =
Choreo.Theme.custom(
colors: %{
application: "#3b82f6",
library: "#f59e0b",
module: "#10b981",
interface: "#8b5cf6",
test: "#ec4899"
},
node_fontcolor: "white",
edge_color: "#94a3b8",
graph_bgcolor: "#0f172a"
)
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(microservices, theme: brand_theme)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(microservices, theme: brand_theme), height: "500px")
)
Example 8: Parallel Dependencies
A component can depend on another for multiple distinct reasons (e.g., both an explicit :uses runtime dependency and a :dev testing harness mock).
parallel_deps =
Dependency.new()
|> Dependency.add_application(:api, label: "API")
|> Dependency.add_library(:auth, label: "Auth Service")
|> Dependency.depends_on(:api, :auth, type: :uses)
|> Dependency.depends_on(:api, :auth, type: :dev)
IO.puts("Number of dependencies: #{length(Dependency.edges(parallel_deps))}")
Kino.Layout.tabs(
Mermaid: Kino.Mermaid.new(Dependency.to_mermaid(parallel_deps)),
Graphviz: Kino.VizJS.render(Dependency.to_dot(parallel_deps))
)
Example 9: Zooming and Architectural Views
When dealing with large systems, displaying every module and interface can be overwhelming. Choreo.Viewable allows you to “zoom out” to see the big picture, or “zoom in” for detail.
For Dependency graphs, zoom levels are semantic:
- Level 0: Applications only (System Context)
- Level 1: Applications and Libraries (Container/Dependency level)
- Level 2: Applications, Libraries, and Modules (Component level)
- Level 3: Applications, Libraries, Modules, and Interfaces
- Level 4+: Everything (including Tests)
alias Choreo.View
system =
Dependency.new()
|> Dependency.add_application(:frontend, label: "Frontend API")
|> Dependency.add_application(:backend, label: "Backend Service")
|> Dependency.add_library(:phx, label: "Phoenix")
|> Dependency.add_module(:router, label: "Router")
|> Dependency.add_module(:auth, label: "Auth")
|> Dependency.add_test(:auth_test, label: "Auth Test")
|> Dependency.depends_on(:frontend, :backend, type: :calls)
|> Dependency.depends_on(:frontend, :phx, type: :uses)
|> Dependency.depends_on(:frontend, :router, type: :calls)
|> Dependency.depends_on(:backend, :auth, type: :calls)
|> Dependency.depends_on(:auth_test, :auth, type: :dev)
Compare all zoom levels side-by-side:
label = fn level ->
case level do
0 -> "0. Context"
1 -> "1. Containers"
2 -> "2. Components"
3 -> "3. Interfaces"
_ -> "4. Everything"
end
end
zoomed_diagrams =
for level <- 0..4 do
view = View.zoom(system, level: level)
{label.(level), Kino.VizJS.render(Dependency.to_dot(view), height: "400px")}
end
Kino.Layout.tabs(zoomed_diagrams)
When you zoom out, intermediate nodes are hidden, but their transitive dependencies are preserved as virtual edges (dashed light-grey lines) so you don’t lose the structural relationship between the visible components!
Summary
| Question | Function |
|---|---|
| “Where are the cycles?” |
Analysis.cyclic_dependencies/1 |
| “What breaks if I change X?” |
Analysis.affected_by/2 |
| “What does X need?” |
Analysis.depends_on/2 |
| “Are layers respected?” |
Analysis.layer_violations/2 |
| “Which edges are redundant?” |
Analysis.transitive_reduction/1 |
| “How stable is each component?” |
Analysis.instability/1 |
| “What’s most coupled?” |
Analysis.centrality/2 |
| “What’s the deepest chain?” |
Analysis.longest_dependency_chain/1 |
| “Which components are isolated?” |
Analysis.isolated_subsystems/1 |
| “Is the graph sound?” |
Analysis.validate/1 |
| “Render to DOT” |
Dependency.to_dot/2 |
Dependency graphs as code mean your architecture is version-controlled, reviewable, and automatically checked for cycles, layer violations, and coupling hotspots. Every time you add a new module or library, you can immediately see the impact on build order, test parallelism, and architectural integrity — before the code compiles.