Remove timestamp from logs in notebooks
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2 changed files with 159 additions and 33 deletions
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@ -11,9 +11,126 @@
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"execution_count": null,
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"execution_count": 1,
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"outputs": [],
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],
|
||||||
"source": [
|
"source": [
|
||||||
"%pip install great-ai"
|
"%pip install great-ai"
|
||||||
]
|
]
|
||||||
|
|
@ -30,7 +147,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 1,
|
"execution_count": 2,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
|
@ -56,14 +173,14 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 2,
|
"execution_count": 3,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stderr",
|
"name": "stderr",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"100%|██████████| 84000/84000 [00:09<00:00, 8705.41it/s] \n"
|
"100%|██████████| 84000/84000 [00:08<00:00, 9771.59it/s] \n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
|
|
@ -86,14 +203,14 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 3,
|
"execution_count": 4,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stderr",
|
"name": "stderr",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"100%|██████████| 22399/22399 [00:02<00:00, 7963.06it/s] \n"
|
"100%|██████████| 22399/22399 [00:02<00:00, 7858.71it/s] \n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
|
|
@ -116,7 +233,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 4,
|
"execution_count": 5,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
|
@ -131,7 +248,7 @@
|
||||||
" ('linearsvc', LinearSVC())])"
|
" ('linearsvc', LinearSVC())])"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 4,
|
"execution_count": 5,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
|
@ -156,7 +273,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 5,
|
"execution_count": 6,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
|
@ -176,7 +293,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 6,
|
"execution_count": 7,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
|
@ -237,39 +354,39 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 7,
|
"execution_count": 8,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stderr",
|
"name": "stderr",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"\u001b[38;5;226m2022-07-09 22:33:18 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
|
"\u001b[38;5;226mEnvironment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
|
||||||
"\u001b[38;5;226m2022-07-09 22:33:18 | WARNING | Cannot find credentials files, defaulting to using ParallelTinyDbDriver\u001b[0m\n",
|
"\u001b[38;5;226mCannot find credentials files, defaulting to using ParallelTinyDbDriver\u001b[0m\n",
|
||||||
"\u001b[38;5;226m2022-07-09 22:33:18 | WARNING | The selected tracing database (ParallelTinyDbDriver) is not recommended for production\u001b[0m\n",
|
"\u001b[38;5;226mThe selected tracing database (ParallelTinyDbDriver) is not recommended for production\u001b[0m\n",
|
||||||
"\u001b[38;5;226m2022-07-09 22:33:18 | WARNING | Cannot find credentials files, defaulting to using LargeFileLocal\u001b[0m\n",
|
"\u001b[38;5;226mCannot find credentials files, defaulting to using LargeFileLocal\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | GreatAI (v0.1.0): configured ✅\u001b[0m\n",
|
"\u001b[38;5;39mGreatAI (v0.1.3): configured ✅\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | 🔩 tracing_database: ParallelTinyDbDriver\u001b[0m\n",
|
"\u001b[38;5;39m 🔩 tracing_database: ParallelTinyDbDriver\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | 🔩 large_file_implementation: LargeFileLocal\u001b[0m\n",
|
"\u001b[38;5;39m 🔩 large_file_implementation: LargeFileLocal\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | 🔩 is_production: False\u001b[0m\n",
|
"\u001b[38;5;39m 🔩 is_production: False\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | 🔩 should_log_exception_stack: True\u001b[0m\n",
|
"\u001b[38;5;39m 🔩 should_log_exception_stack: True\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | 🔩 prediction_cache_size: 512\u001b[0m\n",
|
"\u001b[38;5;39m 🔩 prediction_cache_size: 512\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | 🔩 dashboard_table_size: 20\u001b[0m\n",
|
"\u001b[38;5;39m 🔩 dashboard_table_size: 50\u001b[0m\n",
|
||||||
"\u001b[38;5;226m2022-07-09 22:33:18 | WARNING | You still need to check whether you follow all best practices before trusting your deployment.\u001b[0m\n",
|
"\u001b[38;5;226mYou still need to check whether you follow all best practices before trusting your deployment.\u001b[0m\n",
|
||||||
"\u001b[38;5;226m2022-07-09 22:33:18 | WARNING | > Find out more at https://se-ml.github.io/practices\u001b[0m\n",
|
"\u001b[38;5;226m> Find out more at https://se-ml.github.io/practices\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:18 | INFO | Fetching cached versions of my-domain-predictor\u001b[0m\n",
|
"\u001b[38;5;39mFetching cached versions of my-domain-predictor\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:19 | INFO | Copying file for my-domain-predictor-5\u001b[0m\n",
|
"\u001b[38;5;39mCopying file for my-domain-predictor-6\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:19 | INFO | Compressing my-domain-predictor-5\u001b[0m\n",
|
"\u001b[38;5;39mCompressing my-domain-predictor-6\u001b[0m\n",
|
||||||
"\u001b[38;5;39m2022-07-09 22:33:20 | INFO | Model my-domain-predictor uploaded with version 5\u001b[0m\n"
|
"\u001b[38;5;39mModel my-domain-predictor uploaded with version 6\u001b[0m\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"'my-domain-predictor:5'"
|
"'my-domain-predictor:6'"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 7,
|
"execution_count": 8,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -9,13 +9,22 @@ loggers: Dict[str, logging.Logger] = {}
|
||||||
def get_logger(
|
def get_logger(
|
||||||
name: str, level: int = logging.INFO, disable_colors: bool = False
|
name: str, level: int = logging.INFO, disable_colors: bool = False
|
||||||
) -> logging.Logger:
|
) -> logging.Logger:
|
||||||
"""Return a customised logger used throughout the GreatAI codebase."""
|
"""Return a customised logger used throughout the GreatAI codebase.
|
||||||
|
|
||||||
|
Uses colors, and only prints timestamps when not running inside notebook.
|
||||||
|
"""
|
||||||
|
|
||||||
if name not in loggers:
|
if name not in loggers:
|
||||||
logger = logging.getLogger(name)
|
logger = logging.getLogger(name)
|
||||||
logger.setLevel(level)
|
logger.setLevel(level)
|
||||||
|
|
||||||
|
try:
|
||||||
|
get_ipython() # type: ignore
|
||||||
|
log_format = "%(message)s"
|
||||||
|
except NameError:
|
||||||
|
# will fail outside of a notebook https://ipython.org/
|
||||||
log_format = "%(asctime)s | %(levelname)8s | %(message)s"
|
log_format = "%(asctime)s | %(levelname)8s | %(message)s"
|
||||||
|
|
||||||
stdout_handler = logging.StreamHandler()
|
stdout_handler = logging.StreamHandler()
|
||||||
stdout_handler.setLevel(level)
|
stdout_handler.setLevel(level)
|
||||||
if not disable_colors:
|
if not disable_colors:
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue