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Vector — Log Topology in TOML with Multi-Line Transforms (toml)

A log-processing topology in TOML where components declare their inputs rather than an explicit graph, including a dropped-event route consumed as parse_json.dropped. The transform bodies are triple-quoted multi-line strings holding a different language, which is what breaks TOML tooling here.

Preview — first 50 linestoml
# Vector topology: OTLP and file sources, remap transforms, two sinks.
# Components are wired by naming their inputs, so the graph is implicit.

[sources.otlp_logs]
type = "opentelemetry"
grpc.address = "0.0.0.0:4317"
http.address = "0.0.0.0:4318"

[sources.container_logs]
type = "file"
include = ["/var/log/containers/*shop*.log"]
read_from = "end"
fingerprint.strategy = "checksum"

[transforms.parse_cri]
type = "remap"
inputs = ["container_logs"]
source = '''
. |= parse_regex!(.message, r'^(?P<ts>\S+) (?P<stream>stdout|stderr) (?P<tag>[FP]) (?P<body>.*)$')
.timestamp = parse_timestamp!(.ts, format: "%+")
'''

[transforms.parse_json]
type = "remap"
inputs = ["parse_cri", "otlp_logs"]
drop_on_error = false
reroute_dropped = true
source = '''
parsed, err = parse_json(.body)
if err == null {
  . = merge(., object!(parsed))
}
.level = downcase(string!(.level || "info"))
'''

[transforms.redact]
type = "remap"
inputs = ["parse_json"]
source = '''
if exists(.customer_id) { .customer_id = sha2(string!(.customer_id), variant: "SHA-256") }
del(.session_id)
del(.device_id)
'''

[sinks.http_logs]
type = "http"
inputs = ["redact"]
uri = "https://logs.example.com/v1/logs"
encoding.codec = "json"
batch.max_events = 1000
57 lines total — download for the full file.

Specifications

Sources
2
Transforms
3
Sinks
2
Multiline String Blocks
3
Has Dropped Output Route
true
Graph Is Implicit
true
Hashes Customer Id
true

Testing contract

Expected to pass
Scenario
Parse the TOML and build the component graph from the inputs fields.
Expected result
Seven components resolve into a connected graph with no dangling input, the three triple-quoted transform bodies survive intact including their backslashes, and parse_json.dropped resolves to the transform's error output.

What is a .toml file?

TOML (Tom's Obvious Minimal Language) is a configuration format designed to be unambiguous and easy to read, with typed values, sections in bracketed tables, and clear date and number handling. It maps cleanly to hash tables. It is widely used for application and package configuration, such as Rust's Cargo and Python's pyproject.

How to use this file

Use an example TOML file to test config parsers, typed-value and table handling, and tools that read project or application settings.

How to use this file for testing

“Vector — Log Topology in TOML with Multi-Line Transforms (toml)” is a deterministic Novus Examples fixture for Observability, Config parsing, Config testing. Structured and plain-text telemetry with known timestamps, levels, request identifiers, and error states for testing log ingestion, correlation, dashboards, and alert pipelines.

Documented properties for this file: TOML · 1,346 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Telemetry fixtures use fixed trace IDs, span IDs, and timestamps so ingestion is reproducible run to run. Point your collector, parser, or query layer at the file and assert the documented span tree, metric families, or severity mix; service and host names are invented.

Code examples

import tomllib

with open("vector-topology.toml", "rb") as f:
    data = tomllib.load(f)
print(data)

Generated by generation/observability.py. Free for any use, no attribution required — license.