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8 changes: 7 additions & 1 deletion .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -129,4 +129,10 @@ dmypy.json
.pyre/

# JUnit file
junit-test.xml
junit-test.xml

# VSCode
.vscode/

# Doc build
html_docs
16 changes: 16 additions & 0 deletions docs/index.asciidoc
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@@ -0,0 +1,16 @@
:ecs-repo-dir: {ecs-logging-root}/docs/

include::{docs-root}/shared/versions/stack/current.asciidoc[]
include::{docs-root}/shared/attributes.asciidoc[]

ifdef::env-github[]
NOTE: For the best reading experience,
please view this documentation at https://www.elastic.co/guide/en/ecs-logging/python/current/index.html[elastic.co]
endif::[]

= ECS Logging Python Reference

ifndef::env-github[]
include::./intro.asciidoc[Introduction]
include::./setup.asciidoc[Set up]
endif::[]
10 changes: 10 additions & 0 deletions docs/intro.asciidoc
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@@ -0,0 +1,10 @@
[[intro]]
== Introduction

ECS loggers are formatter/encoder plugins for your favorite logging libraries.
They make it easy to format your logs into ECS-compatible JSON.

TIP: Want to learn more about ECS, ECS logging, and other available language plugins?
See the {ecs-logging-ref}/intro.html[ECS logging guide].

Ready to jump into `ecs-logging-python`? <<installation,Get started>>.
199 changes: 199 additions & 0 deletions docs/setup.asciidoc
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@@ -0,0 +1,199 @@
[[installation]]
== Installation

[source,cmd]
----
$ python -m pip install ecs-logging
----

[float]
[[gettingstarted]]
== Getting Started

`ecs-logging-python` has formatters for the standard library
https://docs.python.org/3/library/logging.html[`logging`] module
and the https://www.structlog.org/en/stable/[`structlog`] package.

[float]
[[logging]]
=== Standard Library `logging` Module

[source,python]
----
import logging
import ecs_logging

# Get the Logger
logger = logging.getLogger("app")
logger.setLevel(logging.DEBUG)

# Add an ECS formatter to the Handler
handler = logging.StreamHandler()
handler.setFormatter(ecs_logging.StdlibFormatter())
logger.addHandler(handler)

# Emit a log!
logger.debug("Example message!", extra={"http.request.method": "get"})
----

[source,json]
----
{
"@timestamp": "2020-03-20T18:11:37.895Z",
"ecs": {
"version": "1.6.0"
},
"http": {
"request": {
"method": "get"
}
},
"log": {
"level": "debug",
"logger": "app",
"origin": {
"file": {
"line": 14,
"name": "test.py"
},
"function": "func"
},
"original": "Example message!"
},
"message": "Example message!"
}
----

[float]
==== Excluding Fields

You can exclude fields from being collected by using the `exclude_fields` option
in the `StdlibFormatter` constructor:

[source,python]
----
from ecs_logging import StdlibFormatter

formatter = StdlibFormatter(
exclude_fields=[
# You can specify individual fields to ignore:
"log.original",
# or you can also use prefixes to ignore
# whole categories of fields:
"process",
"log.origin",
]
)
----

[float]
==== Limiting Stack Traces

The `StdlibLogger` automatically gathers `exc_info` into ECS `error.*` fields.
If you'd like to control the number of stack frames that are included
in `error.stack_trace` you can use the `stack_trace_limit` parameter
(by default all frames are collected):

[source,python]
----
from ecs_logging import StdlibFormatter

formatter = StdlibFormatter(
# Only collects 3 stack frames
stack_trace_limit=3,
)
formatter = StdlibFormatter(
# Disable stack trace collection
stack_trace_limit=0,
)
----

[float]
[[structlog]]
=== Structlog Example

[source,python]
----
import structlog
import ecs_logging

# Configure Structlog
structlog.configure(
processors=[ecs_logging.StructlogFormatter()],
wrapper_class=structlog.BoundLogger,
context_class=dict,
logger_factory=structlog.PrintLoggerFactory(),
)

# Get the Logger
logger = structlog.get_logger("app")

# Add additional context
logger = logger.bind(**{
"http": {
"version": "2",
"request": {
"method": "get",
"bytes": 1337,
},
},
"url": {
"domain": "example.com",
"path": "/",
"port": 443,
"scheme": "https",
"registered_domain": "example.com",
"top_level_domain": "com",
"original": "https://example.com",
}
})

# Emit a log!
logger.debug("Example message!")
----

[source,json]
----
{
"@timestamp": "2020-03-26T13:08:11.728Z",
"ecs": {
"version": "1.6.0"
},
"http": {
"request": {
"bytes": 1337,
"method": "get"
},
"version": "2"
},
"log": {
"level": "debug"
},
"message": "Example message!",
"url": {
"domain": "example.com",
"original": "https://example.com",
"path": "/",
"port": 443,
"registered_domain": "example.com",
"scheme": "https",
"top_level_domain": "com"
}
}
----

[float]
[[correlation]]
== Elastic APM Log Correlation

`ecs-logging-python` supports automatically collecting https://www.elastic.co/guide/en/ecs/master/ecs-tracing.html[ECS tracing fields]
from the https://github.com/elastic/apm-agent-python[Elastic APM Python agent] in order to
https://www.elastic.co/guide/en/apm/agent/python/current/log-correlation.html[correlate logs to spans, transactions and traces] in Elastic APM.

[float]
[[filebeat]]
== Install Filebeat

The best way to collect the logs once they are ECS-formatted is with https://www.elastic.co/beats/filebeat[Filebeat]:

include::{ecs-repo-dir}/setup.asciidoc[tag=configure-filebeat]