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csv-logger-1.3.0
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مشاهده بیشترتوضیحات
Simple class to log to csv using the logging rotating handler, output is a rolling csv log
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | csv-logger-1.3.0 |
| نام | csv-logger |
| نسخه کتابخانه | 1.3.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | James Morris |
| ایمیل نویسنده | jemorris55@gmail.com |
| آدرس صفحه اصلی | https://github.com/Morrious/csv-logger |
| آدرس اینترنتی | https://pypi.org/project/csv-logger/ |
| مجوز | - |
# csv-logger
[](https://pypi.org/project/csv-logger/) [](https://pepy.tech/project/csv-logger)
Simple class to log to csv using the logging rotating handler, output is a rolling csv log
## Description
This library allows you to easily log information to CSV file format, in the same fashion as the logging package. This allows you to generate a rolling set of csv logs with a maximum file size and file count.
Inputs:
- filename
- main log file name or path. if path, will create subfolders as needed
- delimiter
- delimiter to use in the files. Defaults to `','`
- level
- logging level for logs, below which the logs will not be written to file. default `INFO`
- add_level_names
- list fo strings, adds additional logging levels for custom log tagging. default: `[]`
- add_level_nums
- assigns specific nums to `add_level_names`. default if None provided: `[100,99,98,..]`
- fmt
- output format. default `f'%(asctime)s,%(message)s'`. accepts:
- `%(name)s` Name of the logger (logging channel)
- `%(levelno)s` Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL)
- `%(levelname)s` Text logging level for the message ("DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL")
- `%(pathname)s` Full pathname of the source file where the logging call was issued (if available)
- `%(filename)s` Filename portion of pathname
- `%(module)s` Module (name portion of filename)
- `%(lineno)d` Source line number where the logging call was issued (if available)
- `%(funcName)s` Function name
- `%(created)f` Time when the LogRecord was created (time.time() return value)
- `%(asctime)s` Textual time when the LogRecord was created
- `%(msecs)d` Millisecond portion of the creation time
- `%(relativeCreated)d` Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded (typically at application startup time)
- `%(thread)d` Thread ID (if available)
- `%(threadName)s` Thread name (if available)
- `%(process)d` Process ID (if available)
- `%(message)s` The result of record.getMessage(), computed just as the record is emitted
- datefmt
- date format for first column of logs. default `%Y/%m/%d %H:%M:%S`
- max_size
- max size of each log file in bytes. default `10MB` (10,485,760)
- max_files
- max file count. default `10`
- header
- header to prepend to csv files. default `None`
## Getting started
Install with `pip3 install csv_logger`
Basic usage example below.
Since the example is set to only 1kB of data per file, the code results in 2 log files. `log.csv` will always contain the most recent data, and the subsequent files (`log_1.csv` and so on) will have older data.
```python
#!/usr/bin/python3
from csv_logger import CsvLogger
import logging
from time import sleep
filename = 'logs/log.csv'
delimiter = ','
level = logging.INFO
custom_additional_levels = ['logs_a', 'logs_b', 'logs_c']
fmt = f'%(asctime)s{delimiter}%(levelname)s{delimiter}%(message)s'
datefmt = '%Y/%m/%d %H:%M:%S'
max_size = 1024 # 1 kilobyte
max_files = 4 # 4 rotating files
header = ['date', 'level', 'value_1', 'value_2']
# Creat logger with csv rotating handler
csvlogger = CsvLogger(filename=filename,
delimiter=delimiter,
level=level,
add_level_names=custom_additional_levels,
add_level_nums=None,
fmt=fmt,
datefmt=datefmt,
max_size=max_size,
max_files=max_files,
header=header)
# Log some records
for i in range(10):
csvlogger.logs_a([i, i * 2])
sleep(0.1)
# You can log list or string
csvlogger.logs_b([1000.1, 2000.2])
csvlogger.critical('3000,4000')
# Log some more records to trigger rollover
for i in range(50):
csvlogger.logs_c([i * 2, float(i**2)])
sleep(0.1)
# Read and print all of the logs from file after logging
all_logs = csvlogger.get_logs(evaluate=False)
for log in all_logs:
print(log)
```
`log_2.csv`:
```csv
date,level,value_1,value_2
2022/01/31 15:49:53,logs_a,0,0
2022/01/31 15:49:53,logs_a,1,2
2022/01/31 15:49:53,logs_a,2,4
2022/01/31 15:49:53,logs_a,3,6
2022/01/31 15:49:53,logs_a,4,8
2022/01/31 15:49:53,logs_a,5,10
2022/01/31 15:49:53,logs_a,6,12
2022/01/31 15:49:53,logs_a,7,14
2022/01/31 15:49:53,logs_a,8,16
2022/01/31 15:49:54,logs_a,9,18
2022/01/31 15:49:54,logs_b,1000.1,2000.2
2022/01/31 15:49:54,CRITICAL,3000,4000
2022/01/31 15:49:54,logs_c,0,0.0
2022/01/31 15:49:54,logs_c,2,1.0
2022/01/31 15:49:54,logs_c,4,4.0
2022/01/31 15:49:54,logs_c,6,9.0
2022/01/31 15:49:54,logs_c,8,16.0
2022/01/31 15:49:54,logs_c,10,25.0
2022/01/31 15:49:54,logs_c,12,36.0
2022/01/31 15:49:54,logs_c,14,49.0
2022/01/31 15:49:54,logs_c,16,64.0
2022/01/31 15:49:55,logs_c,18,81.0
2022/01/31 15:49:55,logs_c,20,100.0
2022/01/31 15:49:55,logs_c,22,121.0
2022/01/31 15:49:55,logs_c,24,144.0
2022/01/31 15:49:55,logs_c,26,169.0
2022/01/31 15:49:55,logs_c,28,196.0
2022/01/31 15:49:55,logs_c,30,225.0
2022/01/31 15:49:55,logs_c,32,256.0
```
`log_1.csv`:
```csv
date,level,value_1,value_2
2022/01/31 15:49:55,logs_c,34,289.0
2022/01/31 15:49:55,logs_c,36,324.0
2022/01/31 15:49:56,logs_c,38,361.0
2022/01/31 15:49:56,logs_c,40,400.0
2022/01/31 15:49:56,logs_c,42,441.0
2022/01/31 15:49:56,logs_c,44,484.0
2022/01/31 15:49:56,logs_c,46,529.0
2022/01/31 15:49:56,logs_c,48,576.0
2022/01/31 15:49:56,logs_c,50,625.0
2022/01/31 15:49:56,logs_c,52,676.0
2022/01/31 15:49:56,logs_c,54,729.0
2022/01/31 15:49:57,logs_c,56,784.0
2022/01/31 15:49:57,logs_c,58,841.0
2022/01/31 15:49:57,logs_c,60,900.0
2022/01/31 15:49:57,logs_c,62,961.0
2022/01/31 15:49:57,logs_c,64,1024.0
2022/01/31 15:49:57,logs_c,66,1089.0
2022/01/31 15:49:57,logs_c,68,1156.0
2022/01/31 15:49:57,logs_c,70,1225.0
2022/01/31 15:49:57,logs_c,72,1296.0
2022/01/31 15:49:57,logs_c,74,1369.0
2022/01/31 15:49:58,logs_c,76,1444.0
2022/01/31 15:49:58,logs_c,78,1521.0
2022/01/31 15:49:58,logs_c,80,1600.0
2022/01/31 15:49:58,logs_c,82,1681.0
2022/01/31 15:49:58,logs_c,84,1764.0
2022/01/31 15:49:58,logs_c,86,1849.0
```
`log.csv`:
```csv
date,level,value_1,value_2
2022/01/31 15:49:58,logs_c,88,1936.0
2022/01/31 15:49:58,logs_c,90,2025.0
2022/01/31 15:49:58,logs_c,92,2116.0
2022/01/31 15:49:58,logs_c,94,2209.0
2022/01/31 15:49:59,logs_c,96,2304.0
2022/01/31 15:49:59,logs_c,98,2401.0
```
## Author
- James Morris (https://james.pizza)
## License
- Free software: MIT license
## Credits
- [Python CSV Rotating Logger gist](https://gist.github.com/arduino12/144c346c9f3ecc8175be45a2f6bda599) as starting point
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl csv-logger-1.3.0:
pip install csv-logger-1.3.0.whl
نصب پکیج tar.gz csv-logger-1.3.0:
pip install csv-logger-1.3.0.tar.gz