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| 1 | + |
| 2 | +Logging is used throughout dgraphpandas using the standard [logging module](https://docs.python.org/3/library/logging.html). |
| 3 | + |
| 4 | +## Command Line |
| 5 | + |
| 6 | +If you are using the command line tool then setting the logging level is as simple as passing an additional parameter. |
| 7 | + |
| 8 | +```sh |
| 9 | +dgraphpandas -v DEBUG |
| 10 | +``` |
| 11 | + |
| 12 | +Where the following levels are supported: `DEBUG,INFO,WARNING,ERROR,NOTSET` |
| 13 | + |
| 14 | +### Coloring Logs |
| 15 | +By default these will log to stdout with no color but you can also add coloring by installing the [`coloredlogs`](https://pypi.org/project/coloredlogs/) module 🌈. |
| 16 | + |
| 17 | +```sh |
| 18 | +python -m pip install coloredlogs |
| 19 | +``` |
| 20 | + |
| 21 | +### Environment Variables |
| 22 | + |
| 23 | +The logging level can also be set via environment variable: |
| 24 | + |
| 25 | +```sh |
| 26 | +export DGRAPHPANDAS_LOG=DEBUG |
| 27 | +``` |
| 28 | + |
| 29 | +## Module |
| 30 | + |
| 31 | +If you are using dgraphpandas in your own script then you can set logging on a more granular level like so: |
| 32 | + |
| 33 | +```py |
| 34 | +import logging |
| 35 | +import dgraphpandas as dpd |
| 36 | + |
| 37 | +logging.basicConfig() |
| 38 | +logging.getLogger('dgraphpandas.rdf').setLevel(logging.DEBUG) |
| 39 | +logging.getLogger('dgraphpandas.types').setLevel(logging.DEBUG) |
| 40 | +logging.getLogger('dgraphpandas.config').setLevel(logging.DEBUG) |
| 41 | +logging.getLogger('dgraphpandas.strategies.horizontal').setLevel(logging.DEBUG) |
| 42 | +logging.getLogger('dgraphpandas.strategies.vertical').setLevel(logging.DEBUG) |
| 43 | +logging.getLogger('dgraphpandas.strategies.vertical_helpers').setLevel(logging.DEBUG) |
| 44 | +logging.getLogger('dgraphpandas.strategies.schema').setLevel(logging.DEBUG) |
| 45 | +logging.getLogger('dgraphpandas.writers.upserts').setLevel(logging.DEBUG) |
| 46 | +logging.getLogger('dgraphpandas.writers.schema').setLevel(logging.DEBUG) |
| 47 | + |
| 48 | +# your logic |
| 49 | +dpd.to_rdf('input.csv', config, 'config_key') |
| 50 | +``` |
| 51 | + |
| 52 | +Naturally this means that you can redirect logs to any handler you would like: |
| 53 | + |
| 54 | +```py |
| 55 | +logging_file = 'dgraphpandas.log' |
| 56 | + |
| 57 | +logging.basicConfig() |
| 58 | +rdf_logger = logging.getLogger('dgraphpandas.rdf') |
| 59 | +rdf_logger.setLevel(logging.DEBUG) |
| 60 | + |
| 61 | +# Create and add any Handler |
| 62 | +formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') |
| 63 | +file_handler = logging.FileHandler(logging_file) |
| 64 | +file_handler.setFormatter(formatter) |
| 65 | + |
| 66 | +rdf_logger.addHandler(file_handler) |
| 67 | +``` |
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