Get script here -> https://gist.github.com/nicholishen/...f530e162c40f43
What it is:
A script that gathers all your MQL files and organizes them together and provides detailed reports in JSON and Excel.
How it works:
The script recursively searches the defined directory for MQL files (default is root drive). When a target file is encountered its checksum is generated and the file gets mapped to the checksum. If another file is discovered in a different location with the same checksum and same filename then only one version of the file will be copied over to the new (organized) directory. If a file is discovered with the same checksum and a different filename then both files will be copied, and a log-entry will be added to the report so you can decide which version to keep. If more than one file shares the same filename but a different checksum, then the file is still copied but renamed. For example if a test.mq4 file is found in two separate directories and don’t have the same checksum it will result in test.mq4 and test(1).mq4. In this instance a log entry will be added to the JSON report under “diff_files”. MQL files that are discovered in a directory that isn’t a typical MQL path (eg. Downloads) will be placed in a new subdirectory titled “UNORGANIZED”. Reports are saved in the root directory of the newly organized files.
Reporting:
A JSON dump is generated with the following properties:
time_completed: datetime that the script was run
total_files: The total number of files in the directory
search_path: The path of the most recent search
save_path: The path where the organized files were copied to
extensions: An array of extensions that were searched
diff_files: An array of paths to files discovered with the same name in the same directory with a different checksum
manifest: An array of details for all files in the newly organized directory.
Shape of manifest:
To get the optional Excel report the following dependencies must be installed:
How to run it:
requires python >= 3.8 https://www.python.org/downloads/
save file and open terminal in that path. Run script.
Example:
What it is:
A script that gathers all your MQL files and organizes them together and provides detailed reports in JSON and Excel.
How it works:
The script recursively searches the defined directory for MQL files (default is root drive). When a target file is encountered its checksum is generated and the file gets mapped to the checksum. If another file is discovered in a different location with the same checksum and same filename then only one version of the file will be copied over to the new (organized) directory. If a file is discovered with the same checksum and a different filename then both files will be copied, and a log-entry will be added to the report so you can decide which version to keep. If more than one file shares the same filename but a different checksum, then the file is still copied but renamed. For example if a test.mq4 file is found in two separate directories and don’t have the same checksum it will result in test.mq4 and test(1).mq4. In this instance a log entry will be added to the JSON report under “diff_files”. MQL files that are discovered in a directory that isn’t a typical MQL path (eg. Downloads) will be placed in a new subdirectory titled “UNORGANIZED”. Reports are saved in the root directory of the newly organized files.
Reporting:
A JSON dump is generated with the following properties:
time_completed: datetime that the script was run
total_files: The total number of files in the directory
search_path: The path of the most recent search
save_path: The path where the organized files were copied to
extensions: An array of extensions that were searched
diff_files: An array of paths to files discovered with the same name in the same directory with a different checksum
manifest: An array of details for all files in the newly organized directory.
Shape of manifest:
Inserted Code
[
{
"name": "ProZigZag.mqh",
"extension": ".mqh",
"is_src": true,
"file_size": 24046,
"time_modified": "2017-11-08 06:22:32",
"path": "C:\\Users\\user\\Desktop\\MQL_FILES\\MQL4\\Include\\Indicators\\ProZigZag.mqh",
"checksum": "7bbecd93b992d4b336a4c7a63c18081c0dfasdfasd514ada720b12f89a6f3971f1819fb64bd66717c0c75b0bf63f21ac64a2ebb1a91cd707f8a7a858343cc",
"copyright": "nicholishen",
"link": null,
"version": "1.0.5"
}
] To get the optional Excel report the following dependencies must be installed:
Inserted Code
pip install -U pandas openpyxl
requires python >= 3.8 https://www.python.org/downloads/
save file and open terminal in that path. Run script.
Example:
Inserted Code
C:\Users\user\Desktop>python -m mql_organizer Directory to search files [C:\]: Searching for MQL files in C:\... Directory to save files [C:\Users\user\Desktop\MQL_FILES]: Saving files to C:\Users\user\Desktop\MQL_FILES... Gather compiled .ex* files (Y/n) [N]: NOT gathering compiled ex* files... Press ENTER to begin...
