{
    "info": {
        "author": "Ismael Martinez Ramos",
        "author_email": "ismaelmartinez@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# logger-to-kibana\n\n[![Build Status](https://dev.azure.com/ismaelmartinez0550/logger-to-kibana/_apis/build/status/IsmaelMartinez.logger-to-kibana?branchName=master)](https://dev.azure.com/ismaelmartinez0550/logger-to-kibana/_build/latest?definitionId=5&branchName=master)\n\n---\n\nThis project is inteded to generate view from the log messages encountered.\n\nThe python executable can be found in [https://pypi.org/project/logger-to-kibana/](https://pypi.org/project/logger-to-kibana/)\n\nYou will need to install the dependences by running\n\n```bash\npip install -r requirements.txt\n```\n\nTo get the programs help just type:\n\n```bash\npython main.py\n```\n\nThis returns:\n\n```bash\n  Usage: main.py [OPTIONS] COMMAND [ARGS]...\n\n  Process the file provided according to conditions\n\nOptions:\n  --help  Show this message and exit.\n\nCommands:\n  pommands:\n  process                    Process the folder\n  process_and_generate       Process the folder and generate visualization\n  process_generate_and_send  Process the folder, generate visualization and\n                             send\n```\n\n## Default settings\n\nThe default settings can be found in the [settings.ini](settings.ini) file. You can provide a different settings\nfile by specifying it as an environment variable LOGGER_TO_KIBANA_CONFIG\n\n## commands\n\nThe current available commands are:\n\n### process\n\nProcess a folder and prints out the processed functions/logs in the following format:\n\n```bash\n[{'subfolder': '<folder_name>', 'filename': '<filename>', 'function': '<function_name>', 'type': '<log_type>', 'query': 'message: \"<log_filter>\"', 'label': '<log_type>: <log_filter>'}]\n```\n\nTo execute the command run:\n\n```bash\npython main.py process -f <folder_location>\n```\n\nCheck the table under [How does it work] section to get more info about log_type and log_filter.\n\n### process_and_generate\n\nProcess a folder (as shown in the process section) and generates a table visualization for kibana.\n\nTo execute the command run:\n\n```bash\npython main.py process_and_generate -f <folder_location>\n```\n\n### process_generate_and_send\n\nProcess a folder, generates a table visualization for kibana and send it to kibana (currently in localhost:5601)\n\nTo execute the command run:\n\n```bash\npython main.py process_and_generate -f <folder_location>\n```\n\n### How does it work\n\nBy default, it scans for files under the folder specified and with the  pattern `app/src/**/*.py`. You can specify another patter in the FilesMatchFilter in the [settings.ini](settings.ini)\n\nThis program uses different regex `detectors` to filter logs and files to process.\n\nThose can be changed in the [settings.ini](settings.ini) file.\n\nThe current available detectors are:\n\n| Detector | Default Value | Propose |\n|---|---|---|\n| FilesMatchFilter | app/src/**/*.py | Filter the files to process in the provided folder |\n| FunctionMappingDetector | def | Detect a function |\n| FunctionMappingFilter | (?<=def ).*?(?=\\() | Filter the function name |\n| LogDebugDetector | LOG.debug | Detect the log debug message |\n| LogDebugFilter | (?<=LOG.debug\\([\"\\']).*?(?=[\"\\']) | Filter the log debug message |\n| LogInfoDetector | LOG.info | Detect the log info message |\n| LogInfoFilter | (?<=LOG.info\\([\"\\']).*?(?=[\"\\']) | Filter the log info message |\n| LogWarnDetector | LOG.warn | Detect the log warn message |\n| LogWarnFilter | (?<=LOG.warn\\([\"\\']).*?(?=[\"\\']) | Filter the log warn message |\n| LogErrorDetector | LOG.error | Detect the log error message |\n| LogErrorFilter | (?<=LOG.error\\([\"\\']).*?(?=[\"\\']) | Filter the log error message |\n| LogCriticalDetector | LOG.critical | Detect the log critical message |\n| LogCriticalFilter | (?<=LOG.critical\\([\"\\']).*?(?=[\"\\']) | Filter the log critical message |\n| LogExceptionDetector | LOG.exception | Detect the log exception message |\n| LogExceptionFilter | (?<=LOG.exception\\([\"\\']).*?(?=[\"\\']) | Filter the log exception message |\n\nOther configuration available in the settings.ini file are:\n| Type | Value | Propose |\n| -- | -- | -- |\n| BaseUrl | [http://localhost:5601](http://localhost:5601) | Kibana base url |\n| Index | 59676040-e7fd-11e9-9209-1f165c3af176 | Kibana index |\n\n## The process\n\nThe commands for the application are done in the following logical order.\n\n```bash\n    process -> generate -> send\n```\n\nAs an example, when processing a file in `tests/unit/resources/example.py` with the content:\n\n```python\ndef lambda_handler(_event: dict, _context):\n    LOG.debug('Initialising')\n    LOG.info('Processing')\n    LOG.warn('Success')\n    LOG.error('Failure')\n    LOG.critical('Bananas')\n    LOG.exception('Exception')\n)\n```\n\nWill return the next object:\n\n```python\n[{'subfolder': 'resources', 'filename': 'example.py', 'function': 'lambda_handler', 'type': 'debug', 'query': 'message: \"Initialising\"', 'label': 'debug: Initialising'},\n{'subfolder': 'resources', 'filename': 'example.py', 'function': 'lambda_handler','type': 'info', 'query': 'message: \"Processing\"', 'label': 'info: Processing'},\n{'subfolder': 'resources', 'filename': 'example.py', 'function': 'lambda_handler', 'type': 'warn', 'query': 'message: \"Success\"', 'label': 'warn: Success'},\n{'subfolder': 'resources', 'filename': 'example.py', 'function': 'lambda_handler', 'type': 'error', 'query': 'message: \"Failure\"', 'label': 'error: Failure'},\n{'subfolder': 'resources', 'filename': 'example.py', 'function': 'lambda_handler', 'type': 'critical', 'query': 'message: \"Bananas\"', 'label': 'critical: Bananas'},\n{'subfolder': 'resources', 'filename': 'example.py', 'function': 'lambda_handler', 'type': 'exception', 'query': 'message: \"Exception\"', 'label': 'exception: Exception'}]\n```\n\nGenerate, will generate a table visualization with filters for all the logs that have found.\n\nThe choise of having a table visualization is for the amount of information available. 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