quick and dirty live graphing of memory usage

README.md

Quick Raw Data Graph

With thanks to willpatera for the google apps script this is based on.

Instructions:

1. Make a new google sheet (add column headers like "uss", "rss" or "vss" as posted in log-memory.py as appropriate)
2. Tools / Script Editor
3. Paste google code.js into the window
4. Run / Setup (Authorize the app)
5. Publish / Deploy as web app
6. Set permission to "everyone, even anonymously"
7. Copy the URL to log-memory.py
8. Create graphs! (Insert / Chart)
9. Run logging script.

google code.js

var SHEET_NAME = "sheet1";

var SCRIPT_PROP = PropertiesService.getScriptProperties(); /

function doGet(e){
  return handleResponse(e);
}

function doPost(e){
  return handleResponse(e);
}

function handleResponse(e) {
  var lock = LockService.getPublicLock();
  lock.waitLock(30000); 

  try {
    
    var test_sheet = SHEET_NAME;
    var doc = SpreadsheetApp.openById(SCRIPT_PROP.getProperty("key"));
    var sheet = doc.getSheetByName(test_sheet);

    var headRow = e.parameter.header_row || 1;
    var headers = sheet.getRange(1, 1, 1, sheet.getLastColumn()).getValues()[0];
    var nextRow = sheet.getLastRow()+1;
    var row = [];
    for (i in headers){
      if (headers[i] == "Timestamp"){
        row.push(new Date());
      } else {
        row.push(e.parameter[headers[i]]);
      }
    }
    sheet.getRange(nextRow, 1, 1, row.length).setValues([row]);
    return ContentService
          .createTextOutput(JSON.stringify({"result":"success", "row": nextRow}))
          .setMimeType(ContentService.MimeType.JSON);
  } catch(e){
    return ContentService
          .createTextOutput(JSON.stringify({"result":"error", "error": e}))
          .setMimeType(ContentService.MimeType.JSON);
  } finally {
    lock.releaseLock();
  }
}

function setup() {
    var doc = SpreadsheetApp.getActiveSpreadsheet();
    SCRIPT_PROP.setProperty("key", doc.getId());
}

log-memory.py

import os
import psutil
import requests
from binaryninja import BinaryViewType

filename = "/path/to/file/to/test"
p = psutil.Process(os.getpid())
counter = 0
while True:
    bv = BinaryViewType.get_view_of_file(filename)
    bv.file.close()
    mem = p.memory_full_info()
    print("[{}]: Current Memory --> {}".format(counter, mem))
    url='https://script.google.com/macros/s/YOURURLHERE/exec'
    try: #don't want transient network issues to kill the script
      requests.post(url, data={"uss":mem.uss, "rss":mem.rss, "vms":mem.vms})
    except:
      continue
    counter += 1