Rich logging, status, progress-line, and log tail helpers
Project description
lograil
lograil is a Python library for building great developer experiences around
streamed and aggregated logs and task statuses. It takes log entries from
pluggable sources -- subprocesses, files, file descriptors, Docker builds, log
databases, or your own backends -- and renders them through one consistent
pipeline with flexible output: a rich terminal UI when a human is watching,
plain text when piped, and NDJSON when a machine is consuming.
The core idea: tools that orchestrate work (builds, test runs, deploys,
long-lived tails) all need the same plumbing -- a spinner or progress bar while
work is running, permanent lines for things that matter, level filtering, and
sane behavior in CI. lograil provides that plumbing once, so a tool's job is
reduced to producing entries.
flowchart LR
subgraph sources
subprocess
files["files / globs"]
fd["file descriptor"]
docker["docker build"]
victoria["VictoriaLogs"]
custom["your own"]
end
subgraph pipeline
entries["entries (dicts)<br/>remaps<br/>level filter<br/>progress extraction"]
end
subgraph output["output modes"]
fancy["fancy: spinners, progress bars, live dashboards"]
plain["plain: timestamped lines"]
json["json: NDJSON"]
end
subprocess --> entries
files --> entries
fd --> entries
docker --> entries
victoria --> entries
custom --> entries
entries --> fancy
entries --> plain
entries --> json
Installation
pip install lograil # core (rich + anyio)
pip install 'lograil[file]' # file tailing (watchdog)
pip install 'lograil[victoria]' # VictoriaLogs source (httpx)
pip install 'lograil[docker]' # Docker SDK helpers
Task statuses
status() shows a transient spinner on a TTY, logs a plain line otherwise,
and renders a permanent completion line when the block exits:
from lograil import status, update_status
with status("Compiling", done="compiled"):
compile_everything()
# fancy: spinner while running, then "+ compiled"
# Structured labels compose a "<process> <subject>" line and derive the
# done message automatically:
with status(process="build", subject="api-server") as handle:
build() # spinner: "build api-server"
handle.update("linking") # spinner: "linking"
# prints "+ build api-server: done"
# Statuses nest; inner completion lines print above the outer spinner.
with status("deploying", sticky=True):
with status(process="build", subject="api"):
...
update_status(subject="uploading") # re-labels the active spinner
A status can be flipped to a warning-style completion (used for
cancellation) with handle.cancel().
Tailing a log source into a status
tail_to_status() consumes any LogSource on a background thread and
renders its entries through the active status -- transient spinner lines for
chatter, permanent lines for warnings and errors, progress bars for entries
carrying progress metadata:
from lograil import status, tail_to_status
from lograil.sources.file import FileLogSource
source = FileLogSource(["logs/*.log"], read_from="end", tail_lines=20)
with status("Watching deploy", done="deploy finished"):
with tail_to_status(source=source) as drained:
wait_for_deploy() # log lines animate the spinner meanwhile
if drained.error is not None:
raise RuntimeError(f"log stream failed: {drained.error}")
Entries are plain dicts. message and levelname are the core keys;
everything else is structured context that survives into JSON output:
{"message": "listening on :8080", "levelname": "INFO", "name": "api"}
Running process groups
run_process_group() runs subprocesses concurrently and renders a live
dashboard (spinner, per-process progress, exit markers) in fancy mode, or
interleaved prefixed lines in plain/json mode. One process failing is
recorded in its result instead of taking down its siblings:
from lograil import ProcessSpec, run_process_group
result = run_process_group(
[
# These tools report on stdout; ProcessSpec captures stderr by
# default, so select the stream each process actually writes to.
ProcessSpec(
argv=["pytest", "-q"],
name="tests",
stream="stdout",
),
ProcessSpec(argv=["ruff", "check", "."], name="lint", stream="stdout"),
ProcessSpec(argv=["mypy", "src"], name="types", stream="stdout"),
],
cancel_on_failure=False,
)
for proc in result.processes:
print(proc.spec.label, proc.exit_code, proc.last_message)
if not result.success:
raise SystemExit(1)
While running, the fancy mode shows spinner cells for plain processes and a bar for anything reporting progress (here, the auto-detected pytest parser):
processes ✓ lint ⠧ types checking
progress ⠧ tests ━━━━━━━━━─────────── 46% tests/test_api.py::test_str…
The final frame persists with per-process exit markers:
processes ✓ lint ✗ types
progress ✓ tests ━━━━━━━━━━━━━━━━━━━━ 100%
Process output parsers are selected automatically when possible. For example,
pytest/py.test subprocess uses the built-in pytest parser unless
parser=... is set explicitly. Custom parsers can be registered by command
name and should emit the generic lograil.progress.* fields when they expose
progress:
from lograil import ProcessSpec, register_output_parser, run_process_group
class SuiteParser:
def __call__(self, entry):
if entry.get("message") == "done":
entry["lograil.progress.description"] = "suite"
entry["lograil.progress.completed"] = 1
entry["lograil.progress.total"] = 1
return entry
register_output_parser(
"suite",
SuiteParser,
command_names=("suite-runner",),
)
run_process_group([ProcessSpec(["suite-runner", "test"])])
Progress reporting from child processes
Children emit machine-readable progress lines on stdout; the parent's tailer extracts them and renders a progress bar instead of raw text:
# child process
from lograil import emit_progress
for i, item in enumerate(items):
emit_progress(description=item.name, completed=i, total=len(items))
handle(item)
# parent: opt the child in and let the subprocess source pick lines up
import os
from lograil import ProcessSpec, lograil_instrumentation_env, run_process_group
env = {**os.environ, **lograil_instrumentation_env()}
run_process_group([ProcessSpec(argv=["python", "worker.py"], env=env)])
Any source can carry progress the same way: entries annotated with the
lograil.progress.* keys (see lograil.ProgressUpdate) render as bars.
Pluggable sources
A source is anything that yields entry dicts. Subclass LogSource, pass a
source_id to self-register, and every consumer -- tail_to_status, the CLI --
can use it:
import threading
from collections.abc import Iterator
from contextlib import closing, contextmanager
from lograil import LogEntry, LogQuery, LogSource, tail_to_status
class KafkaLogSource(LogSource, source_id="kafka"):
def __init__(self, topic: str) -> None:
self._topic = topic
@contextmanager
def open(
self, *, stop: threading.Event, query: LogQuery | None = None
) -> Iterator[Iterator[LogEntry]]:
_ = query
def entries() -> Iterator[LogEntry]:
for record in consume(self._topic, stop=stop):
yield {"message": record.value, "name": self._topic}
with closing(entries()) as handle:
yield handle
Bundled sources:
| source id | class | reads |
|---|---|---|
docker-build |
sources.docker.DockerBuildLogSource |
docker build plain/rawjson output, with per-step progress |
fd |
sources.fd.FileDescriptorLogSource |
newline-delimited lines from an fd or stdin |
file |
sources.file.FileLogSource |
files and glob patterns, rotation-aware ([file] extra) |
victoria |
sources.victoria.VictoriaLogsSource |
VictoriaLogs live tail with reconnect/resume ([victoria] extra) |
| -- | SubprocessLogSource (async) |
a subprocess's stdout/stderr streams |
Sources own their reconnection policy; an exception escaping open() or its
entry iterator is reported once on TailDrained.error, never silently retried.
Output modes and filtering
Output mode is auto-detected -- fancy on a TTY, plain otherwise -- and can
be forced with LOGRAIL_OUTPUT=fancy|plain|json:
-
fancy -- transient spinners, progress bars, live dashboards; warnings and errors always print permanently, even while a progress bar is active.
-
plain -- timestamped, severity-colored lines; safe for CI logs.
-
json -- one NDJSON object per entry on stderr, preserving the entry's level and structured fields:
{ "level": "ERROR", "logger": "lograil.tail", "message": "#5 ERROR: boom", "name": "docker-build", "timestamp": "2026-07-20T20:16:15+00:00" }
Filtering uses tracing-style directives via the LOGRAIL env var (or
configure_logging() / the CLI's --filter), applied uniformly across all
output modes:
LOGRAIL=debug # everything at debug and above
LOGRAIL=warn # warnings and errors only
LOGRAIL=off # silence everything
LOGRAIL=warn,lograil.tail=info # per-target overrides, most specific wins
CLI
The lograil command adapts a stream on stdin using any registered source:
docker build --progress=plain . 2>&1 | lograil --source=docker-build
# fancy TTY: one progress bar per build step; errors printed permanently
tail -f app.log | lograil --source=fd --output=plain
kubectl logs -f deploy/api | lograil --source=fd --output=json --filter=warn
--output and --filter mirror LOGRAIL_OUTPUT and LOGRAIL.
Formatting helpers
The entry formatter is usable standalone, e.g. for rendering stored entries:
from lograil import format_log_entry
line = format_log_entry(
{
"message": "cache miss",
"levelname": "WARN",
"name": "api",
"timestamp": 1721470000.5,
},
context="name",
)
EnvFilter, LograilHandler, and LograilFormatter plug into stdlib
logging directly if you want lograil's rendering for your own loggers:
import logging
from lograil import configure_logging
logger = configure_logging() # honors LOGRAIL / LOGRAIL_OUTPUT
logger.info("ready")
License
Copyright 2026 Vercel, Inc.
Licensed under the Apache License, Version 2.0. See LICENSE.
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