Fully async, modular logging system for Python with time-based rollover and mirror streams.
Project description
Chronologix
Chronologix is a fully asynchronous, modular logging system for Python.
It writes structured log files across multiple named streams, supports time-based chunking, and avoids the standard logging module completely.
Features
- Fully async logging
- Time-based rollover (e.g. every 24h, 1h, 15min)
- Log stream isolation (e.g.
errors,debug,events) - Configurable mirror streams (
errors→debug) - Safe, stateless async file writes
- Config validation with clear error feedback
- Custom log paths via
strorpathlib.Path - Predictable file and folder structure for automated processing
Installation
Chronologix requires Python 3.7+.
pip install chronologix
Usage example
from chronologix import LogConfig, LogManager
config = LogConfig(
base_log_dir="my_logs", # can also be a pathlib.Path
interval="1h", # rollover interval
log_streams=["app", "errors", "audit"], # named log streams
mirror_map={"errors": ["app"]}, # errors are mirrored into "app"
timestamp_format="%H:%M:%S.%f" # timestamp format
)
logger = LogManager(config)
async def divide(a, b):
try:
result = a / b
await logger.log(f"Division result: {result}", target="app")
except Exception as e:
await logger.log(f"Exception occurred: {e}", target="errors")
async def main():
await logger.start()
await logger.log("Starting batch job", target="app")
await logger.log("Auditing step 1", target="audit")
await divide(10, 0) # this will raise and log to both "errors" and "app"
await logger.stop()
This example will produce following:
- A new folder per hour like: 2025-05-04__14-00/
- Three log files inside: app.log, errors.log, audit.log
- The exception will be logged to both errors.log and app.log
- The audit message will only go to audit.log with no mirroring
Path structure
You can set the log output directory using either a string path or a pathlib.Path object.
Examples:
LogConfig(base_log_dir="logs") # relative to current working dir
LogConfig(base_log_dir="/var/log/chronologix") # absolute path (Linux)
LogConfig(base_log_dir=Path("~/.chronologix").expanduser()) # user home dir
Chronologix will create any missing directories automatically.
Intervals
The interval controls how frequently Chronologix creates a new folder and rotates the log files.
Supported values:
"24h""12h""6h""3h""1h""30m""15m""5m"
Each interval corresponds to a different granularity of time-based chunking.
interval="24h"→ folders like2025-05-04/interval="1h"→ folders like2025-05-04__14-00/
Log streams
Log streams define the named .log files Chronologix will manage.
Each stream corresponds to a separate log file inside each time-based folder.
Example:
log_streams=["app", "errors", "audit"]
This would create:
my_logs/
└── 2025-05-04/
├── app.log
├── errors.log
└── audit.log
Each call to .log(message, target=...) writes to the stream you specify.
Mirroring
Mirroring can be configured like this:
mirror_map = {
"errors": ["app"], # messages logged to "errors" will mirror to "app"
"debug": ["all"]
}
Mirroring is optional. Any stream can exist without mirrors, and mirrors can point to multiple targets.
Timestamp formatting
Customize timestamp formatting using any valid strftime directive.
Examples:
- %H:%M:%S → 14:02:19
- %H:%M:%S.%f → 14:02:19.123456
- %Y-%m-%d %H:%M:%S → 2025-05-04 14:02:19
Invalid formats are rejected with a descriptive LogConfigError.
Log structure
my_logs/
└── 2025-05-04__14-00/
├── app.log
├── errors.log
└── audit.log
└── 2025-05-04__15-00/
├── app.log
├── errors.log
└── audit.log
Folders are aligned to the start of the interval (__14-00) and created ahead of time to mitigate latency for smooth rollover.
Default config
If you use the default constructor, Chronologix behaves like this:
from chronologix import LogConfig
config = LogConfig()
logger = LogManager(config)
await logger.start()
Which is equivalent to:
LogConfig(
base_log_dir="logs",
interval="24h",
log_streams=["all", "errors"],
mirror_map={"errors": ["all"]},
timestamp_format="%H:%M:%S"
)
But why?
The idea to build this package came from direct need while working on my private trading software. I hadn't found anything that would check all the boxes and satisfy my OCD, so I decided to build it myself. At first, it was just a module tailored for my program, but then I realized it could be useful for others. So it felt like the perfect opportunity to finally open source something. The core of Chronologix is built on my original logging module, but I tried to make it as flexible as possible to cater to different needs.
Contributing
Feel free to reach out if you have any suggestions or ideas. I'm open to collaboration and improvements.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file chronologix-0.1.0.tar.gz.
File metadata
- Download URL: chronologix-0.1.0.tar.gz
- Upload date:
- Size: 11.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
534db504011ba1f0dc3e5cbb89547bbb7cb1e57795ca697ade8464dfd97c1cc9
|
|
| MD5 |
284e466d17ff7520fc795fb142972b0c
|
|
| BLAKE2b-256 |
168f2fbc37c1379efdfc55bd3e2dfaea75aab5d5855664bc9115d4084309ca2a
|
File details
Details for the file chronologix-0.1.0-py3-none-any.whl.
File metadata
- Download URL: chronologix-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75cd040a4aeb8b20f8eda03b3e2aa491eb86096e3f2bd53354c834d0c3dbebd6
|
|
| MD5 |
7aec446b6ce54e4c10956b45732b0eac
|
|
| BLAKE2b-256 |
c443b00a5c5c450e8038a6419e10c53ecb73ecd979a72189f2559128701cdf0c
|