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GuideConceptsExpressions and Templates

Expressions and Templates

Expressions and templates are the dynamic heart of Probe workflows. They enable conditional logic, data transformation, and dynamic configuration. This guide explores the expression system, template syntax, and advanced usage patterns.

Expression System Overview

Probe uses two types of expressions:

  1. Template Expressions ({{expression}}) - For dynamic value insertion
  2. Test Expressions (expression) - For boolean conditions and validation

Both use the same underlying expression engine based on expr  with security enhancements and custom functions.

Template Expressions

Template expressions use {{}} syntax to insert dynamic values into strings.

Basic Template Syntax

Anything inside {{ }} is evaluated and replaced by its value, including a path into nested data.

# Simple variable substitution - name: Greet User echo: "Hello {{vars.USERNAME}}!" # Accessing nested data - name: API Request uses: http with: method: GET url: "{{vars.API_BASE_URL}}/users/{{outputs.auth.user_id}}" headers: Authorization: "Bearer {{outputs.auth.access_token}}" # Complex expressions - name: Dynamic Configuration echo: "Environment: {{vars.NODE_ENV || 'development'}}, Users: {{outputs.api.user_count || 0}}"

A template ends at the }} that closes it, not at the first }} in the text. The braces of a map literal nest, and a quoted string is read whole, so these are single templates:

- name: Braces inside a template uses: hello echo: "port={{ {'db': {'port': 5432}}.db.port }}, id={{ parse_json('{\"user\": {\"id\": 1}}').user.id }}"

{{{ is read as a literal { followed by a template, so {{{vars.name}}} prints the value in braces. A template that starts with a map literal therefore needs a space after {{, as in {{ {'a': 1} }}. A {{ that is never closed is left as text.

A key of a map can hold templates as well, so that a key comes from a value known only when the workflow runs, such as an ID a previous step returned or a header name:

- name: Activate the tenant uses: http with: post: /status headers: content-type: application/json "{{ vars.tenant_header }}": "{{ outputs.tenant.id }}" body: type: status "{{ outputs.tenant.id }}": active: true

A key is evaluated as text, as a key is one. Two keys that come to the same key are an error, and so is a key that cannot be evaluated; the error names the key as written. A var whose key reads another var is evaluated after it, as one whose value reads it is. The name of a var itself, a key directly under vars, is not evaluated: it names the var as written.

Template Expression Context

Template expressions have access to several data sources:

Environment Variables (env)

Environment values are read through vars, and || supplies a fallback when one is absent.

variables: api_url: "{{vars.API_URL}}" # Environment variable port: "{{vars.PORT || '3000'}}" # With default value debug_mode: "{{vars.DEBUG == 'true'}}" # Boolean conversion

Step Outputs (outputs)

A step that declares outputs becomes readable by its id from any later step.

steps: - name: Get User Info id: user-info uses: http with: method: GET url: "{{vars.API_URL}}/user/current" outputs: user_id: res.body.id user_name: res.body.name user_email: res.body.email - name: Send Welcome Email uses: smtp with: addr: "{{vars.smtp_addr}}" from: "probe@example.com" to: "{{outputs['user-info'].user_email}}" subject: "Welcome {{outputs['user-info'].user_name}}!" session: 1 message: 1 length: 500 echo: "Your user ID is: {{outputs['user-info'].user_id}}"

Job Outputs (Cross-job references)

Across jobs the reference starts with the job, which is why the reading job has to declare needs on it.

jobs: - id: setup name: setup steps: - name: Initialize id: setup outputs: session_id: "{{random_str(16)}}" - id: main-test name: main-test needs: [setup] steps: - name: Use Session uses: http with: headers: X-Session-ID: "{{outputs.setup.session_id}}"

Advanced Template Patterns

A template is not limited to reading a value. It can choose between values, reshape a string, do arithmetic, and reach into nested data.

Conditional Values

The ternary operator picks between two values, and || falls back to the second when the first is empty.

# Ternary operator - name: Environment-specific URL echo: "URL: {{vars.NODE_ENV == 'production' ? 'https://api.prod.com' : 'https://api.dev.com'}}" # Null coalescing - name: Default Configuration echo: "Timeout: {{vars.TIMEOUT || '30s'}}"

String Manipulation

Templates can be placed next to each other and to literal text, which is how paths and URLs are assembled.

# String concatenation - name: Build File Path echo: "File: {{vars.BASE_PATH}}/{{vars.FILE_NAME}}.{{vars.FILE_EXT}}" # String methods (limited support) - name: Format Output echo: "User: {{upper(outputs.user.name)}} ({{lower(outputs.user.email)}})"

Arithmetic Operations

Numbers read from outputs can be combined inside the template, so a summary step computes its own figures.

# Mathematical operations - name: Calculate Metrics echo: | Performance Metrics: Average Response Time: {{(outputs.test1.time + outputs.test2.time + outputs.test3.time) / 3}}ms Total Requests: {{outputs.test1.requests + outputs.test2.requests + outputs.test3.requests}} Success Rate: {{(outputs.successful.count / outputs.total.count) * 100}}%

Complex Data Access

Arrays are indexed and object properties are reached by name, in the same expression.

# Array access - name: Process User List echo: "First user: {{outputs.users.list[0].name}}" # Object property access - name: Nested Data Access echo: "Database: {{outputs.config.database.host}}:{{outputs.config.database.port}}"

Test Expressions

Test expressions are boolean conditions used in test and skipif.

Basic Test Syntax

test holds a boolean expression evaluated against the result of the step it belongs to.

# Simple status check - name: Health Check uses: http with: method: GET url: "{{vars.API_URL}}/health" test: res.code == 200 # Complex conditions - name: Comprehensive API Test uses: http with: method: GET url: "{{vars.API_URL}}/api/data" test: | res.code == 200 && res.body.success == true && res.body.data != null && (rt.sec * 1000) < 1000

HTTP Response Testing

The res object provides comprehensive response data:

# Status code testing test: res.code == 200 test: res.code >= 200 && res.code < 300 test: res.status in [200, 201, 202] # Response time testing test: (rt.sec * 1000) < 1000 # Less than 1 second test: (rt.sec * 1000) >= 100 && (rt.sec * 1000) <= 500 # Between 100-500ms # Response size testing test: res.body_size > 0 # Has content test: res.body_size < 1048576 # Less than 1MB # Header testing test: res.headers["Content-Type"] == "application/json" test: res.headers["X-Rate-Limit-Remaining"] > "10" # JSON response testing test: res.body.status == "success" test: len(res.body.data.users) > 0 test: res.body.error == null # Text response testing test: res.body contains "Success" test: res.body startsWith "<!DOCTYPE html>" test: len(res.body) > 100

Advanced Test Conditions

Beyond comparing a field to a constant, a test can match a pattern, examine a collection, and combine several checks into one condition.

Regular Expressions

matches applies a pattern, either to the whole body or to a single field.

# Pattern matching in response text test: res.body matches "user-\\d+@example\\.com" # JSON field pattern validation test: res.body.user.email matches "[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}"

Array and Object Testing

len and contains work on a collection, and all and any apply a condition to every element or to at least one.

# Array testing test: len(res.body.users) == 5 test: res.body.tags contains "production" test: 'all(res.body.permissions, #.active == true)' test: 'any(res.body.items, #.price > 100)' # Object property testing test: '"id" in res.body.user && "email" in res.body.user' test: res.body.config.database.host != null

Complex Logical Conditions

Grouping with parentheses lets one test accept more than one valid outcome.

# Multi-condition validation test: | (res.code == 200 && res.body.success == true) || (res.code == 202 && res.body.processing == true) # Nested condition validation test: | res.code == 200 && res.body.data != null && ( (res.body.data.type == "user" && res.body.data.user.active == true) || (res.body.data.type == "system" && res.body.data.system.healthy == true) )

Built-in Functions

Probe provides several built-in functions for common operations.

Random Functions

Random values keep repeated runs from colliding on the same record.

random_int(max)

Generate random integers:

# Generate random user ID - name: Create Test User uses: http with: url: "{{vars.API_URL}}/users" method: POST body: | { "id": {{random_int(999999)}}, "name": "TestUser{{random_int(1000)}}", "group": {{random_int(10)}} }

random_str(length)

Generate random strings:

# Generate unique identifiers - name: Create Session outputs: session_id: "session_{{random_str(16)}}" transaction_id: "txn_{{random_str(12)}}" correlation_id: "{{random_str(32)}}" # Generate test data - name: Create Test Record uses: http with: body: | { "username": "user_{{random_str(8)}}", "email": "test_{{random_str(6)}}@example.com", "api_key": "{{random_str(40)}}" }

Time Functions

Time functions supply the current clock value, which is useful for timestamps and for values that must differ between runs.

unixtime()

Get current Unix timestamp:

# Add timestamps to requests - name: Timestamped Request uses: http with: url: "{{vars.API_URL}}/events" method: POST body: | { "event": "test_execution", "timestamp": {{unixtime()}}, "execution_id": "exec_{{unixtime()}}_{{random_str(8)}}" } # Time-based testing - name: Check Timestamp uses: http with: method: GET url: "{{vars.API_URL}}/status" test: res.body.server_time >= {{unixtime() - 300}} # Within last 5 minutes

Custom Function Usage Patterns

The functions become useful when combined: generating test data that does not collide, and identifiers that tie the steps of one run together.

Unique Test Data Generation

Generating the identifier once and reusing it lets the later steps address the record the first step created.

jobs: - id: user-lifecycle-test name: user-lifecycle-test steps: - name: Create Unique User id: create-user uses: http with: url: "{{vars.API_URL}}/users" method: POST body: | { "username": "testuser_{{unixtime()}}_{{random_str(6)}}", "email": "test_{{random_str(8)}}@example.com", "password": "{{random_str(16)}}", "user_id": {{random_int(1000000)}} } test: res.code == 201 outputs: user_id: res.body.user.id username: res.body.user.username - name: Verify User Creation uses: http with: method: GET url: "{{vars.API_URL}}/users/{{outputs['create-user'].user_id}}" test: | res.code == 200 && res.body.user.username == "{{outputs['create-user'].username}}" - name: Clean Up User uses: http with: url: "{{vars.API_URL}}/users/{{outputs['create-user'].user_id}}" method: DELETE test: res.code == 204

Session and Correlation IDs

A value generated at the start and sent with every request ties the requests of one run together in the server’s logs.

jobs: - id: distributed-trace-test name: distributed-trace-test steps: - name: Initialize Trace uses: hello id: trace echo: "Starting distributed trace" outputs: trace_id: "trace_{{unixtime()}}_{{random_str(16)}}" correlation_id: "corr_{{random_str(32)}}" - name: Service A Call uses: http with: method: GET url: "{{vars.SERVICE_A_URL}}/process" headers: X-Trace-ID: "{{outputs.trace.trace_id}}" X-Correlation-ID: "{{outputs.trace.correlation_id}}" test: res.code == 200 - name: Service B Call uses: http with: method: GET url: "{{vars.SERVICE_B_URL}}/process" headers: X-Trace-ID: "{{outputs.trace.trace_id}}" X-Correlation-ID: "{{outputs.trace.correlation_id}}" test: res.code == 200 - name: Verify Trace Correlation uses: http with: method: GET url: "{{vars.TRACING_URL}}/traces/{{outputs.trace.trace_id}}" test: | res.code == 200 && len(res.body.spans) >= 2 && res.body.correlation_id == "{{outputs.trace.correlation_id}}"

Conditional Logic Patterns

An if expression decides whether something runs. It can be attached to a single step or to a whole job, and it commonly reads the environment.

Step-level Conditions

A step is skipped when skipif is true. Publish what the decision depends on as an output of an earlier step.

steps: - name: Check Primary Service id: primary uses: http with: method: GET url: "{{vars.primary_url}}/health" outputs: primary_healthy: res.code == 200 - name: Check Secondary Service id: secondary uses: http skipif: outputs.primary.primary_healthy with: method: GET url: "{{vars.secondary_url}}/health" outputs: secondary_healthy: res.code == 200 - name: Success Path uses: hello skipif: "!(outputs.primary_healthy || (outputs.secondary_healthy ?? false))" echo: "At least one service is healthy" - name: Failure Path uses: hello skipif: outputs.primary_healthy || (outputs.secondary_healthy ?? false) echo: "All services are down!"

Job-level Conditions

A job’s skipif reads vars and the outputs of the jobs it depends on.

jobs: - id: health-check name: Health Check steps: - name: Basic Health Check id: health uses: http with: method: GET url: "{{vars.api_url}}/health" outputs: healthy: res.code == 200 - name: Detailed Analysis needs: [health-check] skipif: outputs.health.healthy steps: - name: Deep Diagnostic uses: http with: method: GET url: "{{vars.api_url}}/diagnostics" test: res.code == 200 - name: Performance Test needs: [health-check] skipif: "!outputs.health.healthy" steps: - name: Load Test uses: http with: method: GET url: "{{vars.api_url}}/load-test" test: res.code == 200

Environment-based Conditions

skipif reads the environment, so a step meant for one environment is passed over in the others.

steps: - name: Development Setup uses: hello skipif: vars.node_env != "development" echo: "Running in development mode" - name: Production Validation uses: http skipif: vars.node_env != "production" with: method: GET url: "{{vars.api_url}}/production-check" test: res.code == 200 - name: Feature Flag Check uses: http skipif: "!(vars.feature_flags contains \"new-api\")" with: method: GET url: "{{vars.api_url}}/v2/endpoint" test: res.code == 200

Security Considerations

Expressions are evaluated inside the workflow, so what they can reach and what they print both matter.

Expression Security Features

Probe implements several security measures:

  1. Expression Length Limits: Prevents resource exhaustion
  2. Dangerous Function Blocking: Blocks access to system functions
  3. Environment Variable Filtering: Limits access to sensitive variables
  4. Timeout Protection: Prevents infinite loops in expressions

Safe Expression Patterns

An expression should read values, not construct them from unchecked input.

# Good: Safe environment variable access - name: Safe Config echo: "API URL: {{vars.API_URL}}" # Good: Bounded data access - name: Safe Data Access test: len(res.body.users) <= 1000 # Avoid: Unbounded operations # test: all(res.body.data.some_huge_array, expensive_operation(#)) # Good: Simple conditions - name: Simple Validation test: res.code == 200 && res.body.success == true # Avoid: Complex nested expressions # test: deeply.nested.complex.expression.with.many.operations()

Sensitive Data Handling

A secret belongs in an environment variable, and it should be used without being echoed.

# Good: Use environment variables for secrets - name: Authenticated Request uses: http with: headers: Authorization: "Bearer {{vars.API_TOKEN}}" # Good: Avoid logging sensitive data - name: Login Test uses: http with: body: | { "username": "{{vars.TEST_USERNAME}}", "password": "{{vars.TEST_PASSWORD}}" } # Don't output sensitive response data outputs: login_successful: res.code == 200 # NOT: auth_token: res.body.token (would expose in logs)

Performance Optimization

Expressions are evaluated for every step, and a repeated workflow evaluates them again on every pass. Keeping them cheap keeps that cost flat.

Efficient Expression Writing

&& stops at the first false operand, so the cheapest check goes first.

# Good: Simple, direct expressions test: res.code == 200 # Good: Early termination with && test: res.code == 200 && res.body.success == true # Avoid: Complex computations in expressions # test: expensive_calculation(res.body.large_dataset) == expected_value # Good: Pre-compute complex values outputs: user_count: len(res.body.users) active_users: 'len(filter(res.body.users, #.active == true))'

Template Optimization

A template that substitutes a value costs almost nothing; one that builds a string out of several operations costs more on every step.

# Good: Simple template substitution echo: "User {{outputs.user.name}} logged in" # Good: Minimal string operations url: "{{vars.BASE_URL}}/users/{{outputs.user.id}}" # Avoid: Complex template expressions # echo: "{{complex_calculation(outputs.data) + another_operation(vars.CONFIG)}}"

Debugging Expressions

An expression that fails rarely says why. The symptoms below cover the cases that come up most often.

Common Issues and Solutions

Most failures fall into three groups: a template that does not resolve, a test that does not evaluate as expected, and a field that is missing rather than wrong.

Template Expression Errors

A template substitutes the raw value, so the quoting around it is the author’s responsibility.

# Error: Missing quotes in JSON body: | { "name": {{outputs.user.name}} # ERROR: Missing quotes } # Solution: Proper JSON quoting body: | { "name": "{{outputs.user.name}}" # CORRECT: Quoted string }

Test Expression Debugging

When a test fails for no obvious reason, print the values it reads before comparing them.

# Debug with verbose mode probe -v workflow.yml
# Add debug outputs - name: Debug Values echo: | Debug Information: Status: {{res.status}} Response Time: {{rt.duration}} JSON Success: {{res.body.success}} Headers: {{res.headers}}

Null Value Handling

A missing field is null, and comparing it directly gives a result that says nothing. Check for its presence first.

# Good: Handle potential null values test: res.body.user != null && res.body.user.active == true # Good: Use default values echo: "User count: {{outputs.api.user_count || 0}}" # Good: Check existence before access test: '"data" in res.body && "users" in res.body.data'

Best Practices

Expressions are read far more often than they are written, and they are the part of a workflow that is hardest to debug. The points below keep them readable.

1. Keep Expressions Simple

An expression that has to be parsed by the reader is one that will be misread when it fails.

# Good: Simple, readable expressions test: res.code == 200 && (rt.sec * 1000) < 1000 # Avoid: Overly complex expressions # test: (res.code >= 200 && res.code < 300) && ((rt.sec * 1000) < (vars.MAX_TIME || 1000)) && (len(filter(res.body.data.items, #.active && #.validated)) > 0)

2. Use Meaningful Variable Names

An output name is what later steps read, so it should say what the value is rather than where it came from.

# Good: Descriptive output names outputs: user_id: res.body.user.id auth_token: res.body.access_token expires_at: res.body.expires_in # Avoid: Generic names outputs: data1: res.body.user.id value: res.body.access_token

3. Handle Edge Cases

Check that each level exists before reading through it, so a missing field fails on its own terms.

# Good: Defensive programming test: | res.code == 200 && res.body != null && res.body.users != null && len(res.body.users) > 0 # Good: Provide defaults echo: "Processing {{outputs.api.item_count || 0}} items"

4. Document Complex Expressions

When a condition encodes a rule, a comment stating the rule saves the next reader from reconstructing it.

- name: Complex Business Logic Validation uses: http with: method: GET url: "{{vars.API_URL}}/business-data" # Test validates that: # 1. Response is successful (200) # 2. Processing time is acceptable (< 2s) # 3. Data integrity is maintained (required fields present) # 4. Business rules are satisfied (active users > 0, revenue > threshold) test: | res.code == 200 && (rt.sec * 1000) < 2000 && res.body.users != null && res.body.revenue != null && len(filter(res.body.users, #.active == true)) > 0 && res.body.revenue > 1000

What’s Next?

Now that you understand expressions and templates, explore:

  1. Data Flow - Learn how data moves through workflows
  2. Testing and Assertions - Master validation techniques
  3. How-tos - See practical expression usage patterns

Expressions and templates are the dynamic engine of Probe. Master these concepts to build flexible, data-driven automation workflows.

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