InvokeAI/invokeai/backend/util/logging.py

Ignoring revisions in .git-blame-ignore-revs. Click here to bypass and see the normal blame view.

436 lines
14 KiB
Python
Raw Permalink Normal View History

# Copyright (c) 2023 Lincoln D. Stein and The InvokeAI Development Team
"""
Logging class for InvokeAI that produces console messages.
2023-05-12 14:13:49 +00:00
Usage:
from invokeai.backend.util.logging import InvokeAILogger
2023-08-17 23:17:38 +00:00
logger = InvokeAILogger.get_logger(name='InvokeAI') // Initialization
2023-05-12 14:13:49 +00:00
(or)
2023-08-17 23:17:38 +00:00
logger = InvokeAILogger.get_logger(__name__) // To use the filename
logger.configure()
2023-05-12 14:13:49 +00:00
logger.critical('this is critical') // Critical Message
logger.error('this is an error') // Error Message
logger.warning('this is a warning') // Warning Message
logger.info('this is info') // Info Message
logger.debug('this is debugging') // Debug Message
Console messages:
2023-05-12 14:13:49 +00:00
[12-05-2023 20]::[InvokeAI]::CRITICAL --> This is an info message [In Bold Red]
[12-05-2023 20]::[InvokeAI]::ERROR --> This is an info message [In Red]
[12-05-2023 20]::[InvokeAI]::WARNING --> This is an info message [In Yellow]
[12-05-2023 20]::[InvokeAI]::INFO --> This is an info message [In Grey]
[12-05-2023 20]::[InvokeAI]::DEBUG --> This is an info message [In Grey]
Alternate Method (in this case the logger name will be set to InvokeAI):
import invokeai.backend.util.logging as IAILogger
IAILogger.debug('this is a debugging message')
## Configuration
The default configuration will print to stderr on the console. To add
2023-08-17 23:17:38 +00:00
additional logging handlers, call get_logger with an initialized InvokeAIAppConfig
object:
config = InvokeAIAppConfig.get_config()
config.parse_args()
2023-08-15 00:20:35 +00:00
logger = InvokeAILogger.get_logger(config=config)
### Three command-line options control logging:
`--log_handlers <handler1> <handler2> ...`
This option activates one or more log handlers. Options are "console", "file", "syslog" and "http". To specify more than one, separate them by spaces:
```
invokeai-web --log_handlers console syslog=/dev/log file=C:\\Users\\fred\\invokeai.log
```
The format of these options is described below.
### `--log_format {plain|color|legacy|syslog}`
This controls the format of log messages written to the console. Only the "console" log handler is currently affected by this setting.
* "plain" provides formatted messages like this:
```bash
[2023-05-24 23:18:2[2023-05-24 23:18:50,352]::[InvokeAI]::DEBUG --> this is a debug message
[2023-05-24 23:18:50,352]::[InvokeAI]::INFO --> this is an informational messages
[2023-05-24 23:18:50,352]::[InvokeAI]::WARNING --> this is a warning
[2023-05-24 23:18:50,352]::[InvokeAI]::ERROR --> this is an error
[2023-05-24 23:18:50,352]::[InvokeAI]::CRITICAL --> this is a critical error
```
* "color" produces similar output, but the text will be color coded to indicate the severity of the message.
* "legacy" produces output similar to InvokeAI versions 2.3 and earlier:
```
### this is a critical error
*** this is an error
** this is a warning
>> this is an informational messages
| this is a debug message
```
* "syslog" produces messages suitable for syslog entries:
```bash
InvokeAI [2691178] <CRITICAL> this is a critical error
InvokeAI [2691178] <ERROR> this is an error
InvokeAI [2691178] <WARNING> this is a warning
InvokeAI [2691178] <INFO> this is an informational messages
InvokeAI [2691178] <DEBUG> this is a debug message
```
(note that the date, time and hostname will be added by the syslog system)
### `--log_level {debug|info|warning|error|critical}`
Providing this command-line option will cause only messages at the specified level or above to be emitted.
## Console logging
When "console" is provided to `--log_handlers`, messages will be written to the command line window in which InvokeAI was launched. By default, the color formatter will be used unless overridden by `--log_format`.
## File logging
When "file" is provided to `--log_handlers`, entries will be written to the file indicated in the path argument. By default, the "plain" format will be used:
```bash
invokeai-web --log_handlers file=/var/log/invokeai.log
```
## Syslog logging
When "syslog" is requested, entries will be sent to the syslog system. There are a variety of ways to control where the log message is sent:
* Send to the local machine using the `/dev/log` socket:
```
invokeai-web --log_handlers syslog=/dev/log
```
* Send to the local machine using a UDP message:
```
invokeai-web --log_handlers syslog=localhost
```
* Send to the local machine using a UDP message on a nonstandard port:
```
invokeai-web --log_handlers syslog=localhost:512
```
* Send to a remote machine named "loghost" on the local LAN using facility LOG_USER and UDP packets:
```
invokeai-web --log_handlers syslog=loghost,facility=LOG_USER,socktype=SOCK_DGRAM
```
This can be abbreviated `syslog=loghost`, as LOG_USER and SOCK_DGRAM are defaults.
* Send to a remote machine named "loghost" using the facility LOCAL0 and using a TCP socket:
```
invokeai-web --log_handlers syslog=loghost,facility=LOG_LOCAL0,socktype=SOCK_STREAM
```
If no arguments are specified (just a bare "syslog"), then the logging system will look for a UNIX socket named `/dev/log`, and if not found try to send a UDP message to `localhost`. The Macintosh OS used to support logging to a socket named `/var/run/syslog`, but this feature has since been disabled.
## Web logging
If you have access to a web server that is configured to log messages when a particular URL is requested, you can log using the "http" method:
```
invokeai-web --log_handlers http=http://my.server/path/to/logger,method=POST
```
The optional [,method=] part can be used to specify whether the URL accepts GET (default) or POST messages.
Currently password authentication and SSL are not supported.
## Using the configuration file
You can set and forget logging options by adding a "Logging" section to `invokeai.yaml`:
```
InvokeAI:
[... other settings...]
Logging:
log_handlers:
- console
- syslog=/dev/log
log_level: info
log_format: color
```
2023-08-15 00:20:35 +00:00
"""
2023-05-12 14:13:49 +00:00
2023-05-25 03:57:15 +00:00
import logging.handlers
import socket
import urllib.parse
from pathlib import Path
from typing import Any, Dict, Optional
2023-05-25 03:57:15 +00:00
2023-08-17 22:45:25 +00:00
from invokeai.app.services.config import InvokeAIAppConfig
from invokeai.app.services.config.config_default import get_config
2023-05-12 14:13:49 +00:00
try:
import syslog
2023-07-27 14:54:01 +00:00
SYSLOG_AVAILABLE = True
2023-08-17 22:45:25 +00:00
except ImportError:
SYSLOG_AVAILABLE = False
2023-07-27 14:54:01 +00:00
add logging support This commit adds invokeai.backend.util.logging, which provides support for formatted console and logfile messages that follow the status reporting conventions of earlier InvokeAI versions. Examples: ### A critical error (logging.CRITICAL) *** A non-fatal error (logging.ERROR) ** A warning (logging.WARNING) >> Informational message (logging.INFO) | Debugging message (logging.DEBUG) This style logs everything through a single logging object and is identical to using Python's `logging` module. The commonly-used module-level logging functions are implemented as simple pass-thrus to logging: import invokeai.backend.util.logging as ialog ialog.debug('this is a debugging message') ialog.info('this is a informational message') ialog.log(level=logging.CRITICAL, 'get out of dodge') ialog.disable(level=logging.INFO) ialog.basicConfig(filename='/var/log/invokeai.log') Internally, the invokeai logging module creates a new default logger named "invokeai" so that its logging does not interfere with other module's use of the vanilla logging module. So `logging.error("foo")` will go through the regular logging path and not add the additional message decorations. For more control, the logging module's object-oriented logging style is also supported. The API is identical to the vanilla logging usage. In fact, the only thing that has changed is that the getLogger() method adds a custom formatter to the log messages. import logging from invokeai.backend.util.logging import InvokeAILogger logger = InvokeAILogger.getLogger(__name__) fh = logging.FileHandler('/var/invokeai.log') logger.addHandler(fh) logger.critical('this will be logged to both the console and the log file')
2023-04-11 14:46:38 +00:00
# module level functions
def debug(msg: str, *args: str, **kwargs: Any) -> None: # noqa D103
2023-08-17 23:17:38 +00:00
InvokeAILogger.get_logger().debug(msg, *args, **kwargs)
2023-07-27 14:54:01 +00:00
def info(msg: str, *args: str, **kwargs: Any) -> None: # noqa D103
2023-08-17 23:17:38 +00:00
InvokeAILogger.get_logger().info(msg, *args, **kwargs)
2023-07-27 14:54:01 +00:00
def warning(msg: str, *args: str, **kwargs: Any) -> None: # noqa D103
2023-08-17 23:17:38 +00:00
InvokeAILogger.get_logger().warning(msg, *args, **kwargs)
2023-07-27 14:54:01 +00:00
def error(msg: str, *args: str, **kwargs: Any) -> None: # noqa D103
2023-08-17 23:17:38 +00:00
InvokeAILogger.get_logger().error(msg, *args, **kwargs)
2023-05-12 14:13:49 +00:00
2023-07-27 14:54:01 +00:00
def critical(msg: str, *args: str, **kwargs: Any) -> None: # noqa D103
2023-08-17 23:17:38 +00:00
InvokeAILogger.get_logger().critical(msg, *args, **kwargs)
add logging support This commit adds invokeai.backend.util.logging, which provides support for formatted console and logfile messages that follow the status reporting conventions of earlier InvokeAI versions. Examples: ### A critical error (logging.CRITICAL) *** A non-fatal error (logging.ERROR) ** A warning (logging.WARNING) >> Informational message (logging.INFO) | Debugging message (logging.DEBUG) This style logs everything through a single logging object and is identical to using Python's `logging` module. The commonly-used module-level logging functions are implemented as simple pass-thrus to logging: import invokeai.backend.util.logging as ialog ialog.debug('this is a debugging message') ialog.info('this is a informational message') ialog.log(level=logging.CRITICAL, 'get out of dodge') ialog.disable(level=logging.INFO) ialog.basicConfig(filename='/var/log/invokeai.log') Internally, the invokeai logging module creates a new default logger named "invokeai" so that its logging does not interfere with other module's use of the vanilla logging module. So `logging.error("foo")` will go through the regular logging path and not add the additional message decorations. For more control, the logging module's object-oriented logging style is also supported. The API is identical to the vanilla logging usage. In fact, the only thing that has changed is that the getLogger() method adds a custom formatter to the log messages. import logging from invokeai.backend.util.logging import InvokeAILogger logger = InvokeAILogger.getLogger(__name__) fh = logging.FileHandler('/var/invokeai.log') logger.addHandler(fh) logger.critical('this will be logged to both the console and the log file')
2023-04-11 14:46:38 +00:00
2023-07-27 14:54:01 +00:00
def log(level: int, msg: str, *args: str, **kwargs: Any) -> None: # noqa D103
2023-08-17 23:17:38 +00:00
InvokeAILogger.get_logger().log(level, msg, *args, **kwargs)
add logging support This commit adds invokeai.backend.util.logging, which provides support for formatted console and logfile messages that follow the status reporting conventions of earlier InvokeAI versions. Examples: ### A critical error (logging.CRITICAL) *** A non-fatal error (logging.ERROR) ** A warning (logging.WARNING) >> Informational message (logging.INFO) | Debugging message (logging.DEBUG) This style logs everything through a single logging object and is identical to using Python's `logging` module. The commonly-used module-level logging functions are implemented as simple pass-thrus to logging: import invokeai.backend.util.logging as ialog ialog.debug('this is a debugging message') ialog.info('this is a informational message') ialog.log(level=logging.CRITICAL, 'get out of dodge') ialog.disable(level=logging.INFO) ialog.basicConfig(filename='/var/log/invokeai.log') Internally, the invokeai logging module creates a new default logger named "invokeai" so that its logging does not interfere with other module's use of the vanilla logging module. So `logging.error("foo")` will go through the regular logging path and not add the additional message decorations. For more control, the logging module's object-oriented logging style is also supported. The API is identical to the vanilla logging usage. In fact, the only thing that has changed is that the getLogger() method adds a custom formatter to the log messages. import logging from invokeai.backend.util.logging import InvokeAILogger logger = InvokeAILogger.getLogger(__name__) fh = logging.FileHandler('/var/invokeai.log') logger.addHandler(fh) logger.critical('this will be logged to both the console and the log file')
2023-04-11 14:46:38 +00:00
2023-07-27 14:54:01 +00:00
def disable(level: int = logging.CRITICAL) -> None: # noqa D103
logging.disable(level)
2023-07-27 14:54:01 +00:00
def basicConfig(**kwargs: Any) -> None: # noqa D103
logging.basicConfig(**kwargs)
2023-04-11 16:23:13 +00:00
2023-08-15 00:20:35 +00:00
2023-05-25 03:57:15 +00:00
_FACILITY_MAP = (
{
"LOG_KERN": syslog.LOG_KERN,
"LOG_USER": syslog.LOG_USER,
"LOG_MAIL": syslog.LOG_MAIL,
"LOG_DAEMON": syslog.LOG_DAEMON,
"LOG_AUTH": syslog.LOG_AUTH,
"LOG_LPR": syslog.LOG_LPR,
"LOG_NEWS": syslog.LOG_NEWS,
"LOG_UUCP": syslog.LOG_UUCP,
"LOG_CRON": syslog.LOG_CRON,
"LOG_SYSLOG": syslog.LOG_SYSLOG,
"LOG_LOCAL0": syslog.LOG_LOCAL0,
"LOG_LOCAL1": syslog.LOG_LOCAL1,
"LOG_LOCAL2": syslog.LOG_LOCAL2,
"LOG_LOCAL3": syslog.LOG_LOCAL3,
"LOG_LOCAL4": syslog.LOG_LOCAL4,
"LOG_LOCAL5": syslog.LOG_LOCAL5,
"LOG_LOCAL6": syslog.LOG_LOCAL6,
"LOG_LOCAL7": syslog.LOG_LOCAL7,
}
if SYSLOG_AVAILABLE
else {}
2023-07-27 14:54:01 +00:00
)
2023-05-25 03:57:15 +00:00
_SOCK_MAP = {
"SOCK_STREAM": socket.SOCK_STREAM,
"SOCK_DGRAM": socket.SOCK_DGRAM,
}
2023-05-25 03:57:15 +00:00
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
class InvokeAIFormatter(logging.Formatter):
"""Base class for logging formatter."""
2023-05-25 03:57:15 +00:00
def format(self, record: logging.LogRecord) -> str: # noqa D102
2023-05-25 03:57:15 +00:00
formatter = logging.Formatter(self.log_fmt(record.levelno))
return formatter.format(record)
def log_fmt(self, levelno: int) -> str: # noqa D102
return "[%(asctime)s]::[%(name)s]::%(levelname)s --> %(message)s"
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
class InvokeAISyslogFormatter(InvokeAIFormatter):
"""Formatting for syslog."""
2023-07-27 14:54:01 +00:00
def log_fmt(self, levelno: int) -> str: # noqa D102
2023-05-25 03:57:15 +00:00
return "%(name)s [%(process)d] <%(levelname)s> %(message)s"
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
class InvokeAILegacyLogFormatter(InvokeAIFormatter): # noqa D102
"""Formatting for the InvokeAI Logger (legacy version)."""
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
FORMATS = {
logging.DEBUG: " | %(message)s",
logging.INFO: ">> %(message)s",
logging.WARNING: "** %(message)s",
logging.ERROR: "*** %(message)s",
logging.CRITICAL: "### %(message)s",
}
2023-07-27 14:54:01 +00:00
def log_fmt(self, levelno: int) -> str: # noqa D102
format = self.FORMATS.get(levelno)
assert format is not None
return format
2023-05-25 03:57:15 +00:00
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
class InvokeAIPlainLogFormatter(InvokeAIFormatter):
"""Custom Formatting for the InvokeAI Logger (plain version)."""
2023-07-27 14:54:01 +00:00
def log_fmt(self, levelno: int) -> str: # noqa D102
2023-05-25 03:57:15 +00:00
return "[%(asctime)s]::[%(name)s]::%(levelname)s --> %(message)s"
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
class InvokeAIColorLogFormatter(InvokeAIFormatter):
"""Custom Formatting for the InvokeAI Logger."""
2023-07-27 14:54:01 +00:00
2023-05-12 14:13:49 +00:00
# Color Codes
grey = "\x1b[38;20m"
yellow = "\x1b[33;20m"
red = "\x1b[31;20m"
2023-05-13 21:06:57 +00:00
cyan = "\x1b[36;20m"
2023-05-12 14:13:49 +00:00
bold_red = "\x1b[31;1m"
reset = "\x1b[0m"
# Log Format
2023-05-21 10:24:37 +00:00
log_format = "[%(asctime)s]::[%(name)s]::%(levelname)s --> %(message)s"
2023-05-12 14:13:49 +00:00
## More Formatting Options: %(pathname)s, %(filename)s, %(module)s, %(lineno)d
# Format Map
FORMATS = {
2023-05-21 10:24:37 +00:00
logging.DEBUG: cyan + log_format + reset,
logging.INFO: grey + log_format + reset,
logging.WARNING: yellow + log_format + reset,
logging.ERROR: red + log_format + reset,
logging.CRITICAL: bold_red + log_format + reset,
2023-05-12 14:13:49 +00:00
}
def log_fmt(self, levelno: int) -> str: # noqa D102
format = self.FORMATS.get(levelno)
assert format is not None
return format
2023-05-12 14:13:49 +00:00
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
LOG_FORMATTERS = {
"plain": InvokeAIPlainLogFormatter,
"color": InvokeAIColorLogFormatter,
"syslog": InvokeAISyslogFormatter,
"legacy": InvokeAILegacyLogFormatter,
}
2023-07-27 14:54:01 +00:00
class InvokeAILogger(object): # noqa D102
loggers: Dict[str, logging.Logger] = {}
2023-05-12 14:13:49 +00:00
@classmethod
def get_logger(cls, name: str = "InvokeAI", config: Optional[InvokeAIAppConfig] = None) -> logging.Logger: # noqa D102
config = config or get_config()
if name in cls.loggers:
return cls.loggers[name]
2023-12-05 03:41:59 +00:00
logger = logging.getLogger(name)
logger.setLevel(config.log_level.upper()) # yes, strings work here
2023-08-17 23:17:38 +00:00
for ch in cls.get_loggers(config):
logger.addHandler(ch)
2023-12-05 03:41:59 +00:00
cls.loggers[name] = logger
2023-05-21 10:24:37 +00:00
return cls.loggers[name]
2023-05-25 03:57:15 +00:00
@classmethod
def get_loggers(cls, config: InvokeAIAppConfig) -> list[logging.Handler]: # noqa D102
2023-05-25 03:57:15 +00:00
handler_strs = config.log_handlers
handlers = []
2023-05-25 03:57:15 +00:00
for handler in handler_strs:
handler_name, *args = handler.split("=", 2)
arg = args[0] if len(args) > 0 else None
2023-05-25 03:57:15 +00:00
# console and file get the fancy formatter.
# syslog gets a simple one
# http gets no custom formatter
formatter = LOG_FORMATTERS[config.log_format]
2023-05-25 03:57:15 +00:00
if handler_name == "console":
ch: logging.Handler = logging.StreamHandler()
2023-05-25 03:57:15 +00:00
ch.setFormatter(formatter())
handlers.append(ch)
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
elif handler_name == "syslog":
ch = cls._parse_syslog_args(arg)
2023-05-25 03:57:15 +00:00
handlers.append(ch)
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
elif handler_name == "file":
ch = cls._parse_file_args(arg)
ch.setFormatter(formatter())
handlers.append(ch)
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
elif handler_name == "http":
ch = cls._parse_http_args(arg)
handlers.append(ch)
2023-05-25 03:57:15 +00:00
return handlers
@staticmethod
def _parse_syslog_args(args: Optional[str] = None) -> logging.Handler:
if not SYSLOG_AVAILABLE:
raise ValueError("syslog is not available on this system")
2023-05-25 03:57:15 +00:00
if not args:
args = "/dev/log" if Path("/dev/log").exists() else "address:localhost:514"
syslog_args: Dict[str, Any] = {}
2023-05-25 03:57:15 +00:00
try:
for a in args.split(","):
arg_name, *arg_value = a.split(":", 2)
if arg_name == "address":
host, *port_list = arg_value
port = 514 if not port_list else int(port_list[0])
2023-05-25 03:57:15 +00:00
syslog_args["address"] = (host, port)
elif arg_name == "facility":
syslog_args["facility"] = _FACILITY_MAP[arg_value[0]]
elif arg_name == "socktype":
syslog_args["socktype"] = _SOCK_MAP[arg_value[0]]
else:
syslog_args["address"] = arg_name
2023-08-17 22:45:25 +00:00
except Exception:
2023-05-25 03:57:15 +00:00
raise ValueError(f"{args} is not a value argument list for syslog logging")
return logging.handlers.SysLogHandler(**syslog_args)
2023-07-27 14:54:01 +00:00
2023-05-25 03:57:15 +00:00
@staticmethod
def _parse_file_args(args: Optional[str] = None) -> logging.Handler: # noqa D102
2023-05-25 03:57:15 +00:00
if not args:
raise ValueError("please provide filename for file logging using format 'file=/path/to/logfile.txt'")
return logging.FileHandler(args)
@staticmethod
def _parse_http_args(args: Optional[str] = None) -> logging.Handler: # noqa D102
2023-05-25 03:57:15 +00:00
if not args:
raise ValueError("please provide destination for http logging using format 'http=url'")
arg_list = args.split(",")
url = urllib.parse.urlparse(arg_list.pop(0))
if url.scheme != "http":
raise ValueError(f"the http logging module can only log to HTTP URLs, but {url.scheme} was specified")
host = url.hostname
path = url.path
port = url.port or 80
2023-07-27 14:54:01 +00:00
syslog_args: Dict[str, Any] = {}
2023-05-25 03:57:15 +00:00
for a in arg_list:
arg_name, *arg_value = a.split(":", 2)
if arg_name == "method":
method = arg_value[0] if len(arg_value) > 0 else "GET"
syslog_args[arg_name] = method
2023-05-25 03:57:15 +00:00
else: # TODO: Provide support for SSL context and credentials
pass
return logging.handlers.HTTPHandler(f"{host}:{port}", path, **syslog_args)