semvec/pypi-packages huggingface dataset:
logcatdevices 0.11
Multiple ADB logcat with colored output / csv export
License: MIT
Keywords: adb,connect,logcat


# Multiple ADB logcat with colored output / csv export 

## Tested against Windows 10 / Python 3.11 / Anaconda

## pip install logcatdevices

![](https://github.com/hansalemaos/screenshots/blob/main/logcatoutput.png?raw=true)



## start_logcat (ctrl+c to stop)

```python
Starts logging Android device logs using ADB.

This function initiates log capturing for specified Android devices using ADB (Android Debug Bridge).
Logs are saved to a CSV file for further analysis.

Args:
	adb_path (str): Path to the ADB executable.
	csv_output (str): Path to the CSV file where the logs will be saved.
	device_serials (str or list): A single device serial number as a string, or a list of serial numbers
								  for multiple devices. Serial numbers are used to identify connected devices.
	print_stdout (bool, optional): If True, prints log messages to the console. Default is True.
	clear_log (bool, optional): If True, clears the device log before capturing. Default is True.
	ljustserial (int, optional): Left-justifies the device serial number in the printed output. Default is 16.

Returns:
	None

Example:
	from logcatdevices import start_logcat

	androidcsv = "c:\\csvandroisad.csv"
	_ = start_logcat(
		adb_path=r"C:\Android\android-sdk\platform-tools\adb.exe",
		csv_output=androidcsv,
		device_serials=[
			"127.0.0.1:5565",
			"127.0.0.1:7555",
			"127.0.0.1:7556",
			"emulator-5554",
			"emulator-5564",
		],
		print_stdout=True,
		clear_log=True,
		ljustserial=16,
	)
```


## csv2df


```python
Converts a CSV log file to a pandas DataFrame.

This function reads a CSV file containing Android device log data and converts it into a structured
pandas DataFrame, enabling easy data manipulation and analysis.

Args:
	csvfile (str): Path to the CSV log file.

Returns:
	pandas.DataFrame: A DataFrame containing log data with the following columns:
		- aa_source (str): Source of the log message.
		- aa_date (datetime): Date and time of the log message.
		- aa_processID (int): Process ID associated with the log message.
		- aa_threadID (int): Thread ID associated with the log message.
		- aa_logType (str): Type of log message (e.g., 'V', 'D', 'I', 'W', 'E').
		- aa_tag (str): Tag associated with the log message.
		- aa_message (str): Log message content.

Example:
	from logcatdevices import csv2df
	androidcsv = "c:\\csvandroisad.csv"
	df = csv2df(androidcsv)
	print(df.to_string())
```