Structured logging for versatile data kit
Project description
Structured Logging For VDK
This plugin allows users to:
- select the log output format
- configure the logging metadata
- display metadata added by bound loggers
Usage
pip install vdk-structlog
Configuration
(vdk config-help
is useful command to browse all config options of your installation of vdk)
Name | Description | Example Value | Possible Values |
---|---|---|---|
logging_metadata | Configure the metadata that will be output along with the log message | "timestamp, level, logger_name, file_name, vdk_job_name | "timestamp, level, logger_name, file_name, line_number, function_name, vdk_job_name, vdk_step_name, vdk_step_type" |
logging_format | Configure the logging output format. Available formats: json, console | "console" | "console", "json" |
custom_console_log_pattern | Custom format string for console logging, applied only whenlogging_format is 'console' and overrides logging_metadata |
"%(asctime)s %(name)-12s %(levelname)-8s %(message)s" | Any valid Python logging format string |
Example: Configure Custom Console Format
If you wish to apply a specific format to your console logs, you can define a custom format using the custom_console_log_pattern
configuration. This custom format string will be used only when the logging_format
is set to 'console'.
For example, add the following to your data job configuration:
[vdk]
custom_console_log_pattern=%(asctime)s %(name)-12s %(levelname)-8s %(message)s
When you run your data job, regardless of other logging settings, your logs will strictly follow this custom format, displaying the timestamp, logger's name, log level, and the log message as per the format string specified.
2023-10-17 11:20:59,202 managed_cursor INFO ingest-from-db-example-job - Executing query SUCCEEDED. Query duration 00h:00m:00s
2023-10-17 11:20:59,202 managed_connectio INFO ingest-from-db-example-job - Fetching query result...
2023-10-17 11:20:59,202 managed_cursor INFO ingest-from-db-example-job - Fetching all results from query ...
2023-10-17 11:20:59,202 managed_cursor INFO ingest-from-db-example-job - Fetching all results from query SUCCEEDED.
2023-10-17 11:20:59,202 managed_cursor INFO ingest-from-db-example-job - Closing DB cursor ...
2023-10-17 11:20:59,202 managed_cursor INFO ingest-from-db-example-job - Closing DB cursor SUCCEEDED.
2023-10-17 11:20:59,203 file_based_step INFO ingest-from-db-example-job - Entering 30_ingest_to_table.py#run(...) ...
2023-10-17 11:20:59,203 ingester_router INFO ingest-from-db-example-job - Sending tabular data for ingestion with method: sqlite and target: None
2023-10-17 11:20:59,204 file_based_step INFO ingest-from-db-example-job - Exiting 30_ingest_to_table.py#run(...) SUCCESS
Example: Configure metadata
Create a data job and add the following config options
[vdk]
logging_metadata=timestamp,level,file_name,vdk_job_name
logging_format=console
Then run the data job. You should see just the configured tags where relevant. For example, you won't see the vdk_job_name outside of log statements directly related to job execution.
2023-10-17 11:20:59,202 [VDK] [INFO ] managed_cursor.py ingest-from-db-example-job - Executing query SUCCEEDED. Query duration 00h:00m:00s
2023-10-17 11:20:59,202 [VDK] [INFO ] managed_connection_b ingest-from-db-example-job - Fetching query result...
2023-10-17 11:20:59,202 [VDK] [INFO ] managed_cursor.py ingest-from-db-example-job - Fetching all results from query ...
2023-10-17 11:20:59,202 [VDK] [INFO ] managed_cursor.py ingest-from-db-example-job - Fetching all results from query SUCCEEDED.
2023-10-17 11:20:59,202 [VDK] [INFO ] managed_cursor.py ingest-from-db-example-job - Closing DB cursor ...
2023-10-17 11:20:59,202 [VDK] [INFO ] managed_cursor.py ingest-from-db-example-job - Closing DB cursor SUCCEEDED.
2023-10-17 11:20:59,203 [VDK] [INFO ] file_based_step.py ingest-from-db-example-job - Entering 30_ingest_to_table.py#run(...) ...
2023-10-17 11:20:59,203 [VDK] [INFO ] ingester_router.py ingest-from-db-example-job - Sending tabular data for ingestion with method: sqlite and target: None
2023-10-17 11:20:59,204 [VDK] [INFO ] file_based_step.py ingest-from-db-example-job - Exiting 30_ingest_to_table.py#run(...) SUCCESS
Now, let's remove the timestamp from the configuration and add the line number
logging_metadata=level,file_name,line_number,vdk_job_name
logging_format=console
And run the job again
[INFO ] managed_cursor.py :97 ingest-from-db-example-job - Executing query SUCCEEDED. Query duration 00h:00m:00s
[INFO ] managed_connection_b :133 ingest-from-db-example-job - Fetching query result...
[INFO ] managed_cursor.py :193 ingest-from-db-example-job - Fetching all results from query ...
[INFO ] managed_cursor.py :196 ingest-from-db-example-job - Fetching all results from query SUCCEEDED.
[INFO ] managed_cursor.py :203 ingest-from-db-example-job - Closing DB cursor ...
[INFO ] managed_cursor.py :205 ingest-from-db-example-job - Closing DB cursor SUCCEEDED.
[INFO ] file_based_step.py :103 ingest-from-db-example-job - Entering 30_ingest_to_table.py#run(...) ...
[INFO ] ingester_router.py :106 ingest-from-db-example-job - Sending tabular data for ingestion with method: sqlite and target: None
[INFO ] file_based_step.py :109 ingest-from-db-example-job - Exiting 30_ingest_to_table.py#run(...) SUCCESS
Example: Configure logging format
Create a data job and add the following config options
[vdk]
logging_metadata=timestamp,level,file_name,vdk_job_name
logging_format=json
And you should see json-formatted logs.
{"filename": "managed_cursor.py", "lineno": 97, "vdk_job_name": "ingest-from-db-example-job", "message": "Executing query SUCCEEDED. Query duration 00h:00m:00s", "vdk_step_name": "20_create_table.sql", "vdk_step_type": "sql", "timestamp": 1697532608.968082, "level": "INFO"}
{"filename": "managed_connection_base.py", "lineno": 133, "vdk_job_name": "ingest-from-db-example-job", "message": "Fetching query result...", "vdk_step_name": "20_create_table.sql", "vdk_step_type": "sql", "timestamp": 1697532608.9681149, "level": "INFO"}
{"filename": "managed_cursor.py", "lineno": 193, "vdk_job_name": "ingest-from-db-example-job", "message": "Fetching all results from query ...", "vdk_step_name": "20_create_table.sql", "vdk_step_type": "sql", "timestamp": 1697532608.968137, "level": "INFO"}
{"filename": "managed_cursor.py", "lineno": 196, "vdk_job_name": "ingest-from-db-example-job", "message": "Fetching all results from query SUCCEEDED.", "vdk_step_name": "20_create_table.sql", "vdk_step_type": "sql", "timestamp": 1697532608.9681568, "level": "INFO"}
{"filename": "managed_cursor.py", "lineno": 203, "vdk_job_name": "ingest-from-db-example-job", "message": "Closing DB cursor ...", "vdk_step_name": "20_create_table.sql", "vdk_step_type": "sql", "timestamp": 1697532608.968405, "level": "INFO"}
{"filename": "managed_cursor.py", "lineno": 205, "vdk_job_name": "ingest-from-db-example-job", "message": "Closing DB cursor SUCCEEDED.", "vdk_step_name": "20_create_table.sql", "vdk_step_type": "sql", "timestamp": 1697532608.9684658, "level": "INFO"}
{"filename": "file_based_step.py", "lineno": 103, "vdk_job_name": "ingest-from-db-example-job", "message": "Entering 30_ingest_to_table.py#run(...) ...", "vdk_step_name": "30_ingest_to_table.py", "vdk_step_type": "python", "timestamp": 1697532608.9734771, "level": "INFO"}
{"filename": "ingester_router.py", "lineno": 106, "vdk_job_name": "ingest-from-db-example-job", "message": "Sending tabular data for ingestion with method: sqlite and target: None", "vdk_step_name": "30_ingest_to_table.py", "vdk_step_type": "python", "timestamp": 1697532608.975029, "level": "INFO"}
{"filename": "file_based_step.py", "lineno": 109, "vdk_job_name": "ingest-from-db-example-job", "message": "Exiting 30_ingest_to_table.py#run(...) SUCCESS", "vdk_step_name": "30_ingest_to_table.py", "vdk_step_type": "python", "timestamp": 1697532608.976068, "level": "INFO"}
Example: Bound loggers
TODO: Add an example once bound loggers are part of vdk-core
Example: Passing custom metadata fields with extra_params
TODO: Add an example
Build and test
pip install -r requirements.txt
pip install -e .
pytest
In VDK repo ../build-plugin.sh script can be used also.
Note about the CICD:
.plugin-ci.yaml is needed only for plugins part of Versatile Data Kit Plugin repo.
The CI/CD is separated in two stages, a build stage and a release stage. The build stage is made up of a few jobs, all which inherit from the same job configuration and only differ in the Python version they use (3.7, 3.8, 3.9 and 3.10). They run according to rules, which are ordered in a way such that changes to a plugin's directory trigger the plugin CI, but changes to a different plugin does not.
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
File details
Details for the file vdk-structlog-0.1.1094270760.tar.gz
.
File metadata
- Download URL: vdk-structlog-0.1.1094270760.tar.gz
- Upload date:
- Size: 12.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b20ccf3eb47e206227de00f73e9bcf04b2f82d307a17a5fa3f8a5ff008091914 |
|
MD5 | 3482bea6c2e57090395f8489c6bd87e1 |
|
BLAKE2b-256 | b3d59479f6e3a1e19d96c4f325221f684153e45d0227ddd17092c9afc9ed2fef |