{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# -*- coding: utf-8 -*-\n", "\"\"\"\n", "Created on Sun Apr 24 23:40:27 2022\n", "\n", "@author: Stepan\n", "\"\"\"\n", "import numpy as np\n", "#import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from urllib.error import HTTPError # recognise the error stemming from missing data\n", "#import urllib\n", "import urllib.request\n", "#from urllib.request import urlopen\n", "import time\n", "import seaborn as sns #; sns.set_theme()\n", "#import plotly.graph_objects as go\n", "import collections # OrderedDict is one Python's high-performance containers\n", "######################################################################\n", "\n", "#Define an exception which will be raised if the data is missing and stop the notebook execution\n", "class StopExecution(Exception):\n", " def _render_traceback_(self):\n", " pass\n", " \n", "shot_no = 39325\n", "#shot_no = 38897 #test discharge for which the notebook will definitely work\n", "shot = shot_no\n", "#identifier='E05-W0037_shot_'+str(shot)+'_-450V'\n", "\n", "detectors= 'E05-W0037 F10-W0049 H03-W0051' #\n", "det_list = detectors.split(' ')\n", "#print(len(det_list))\n", "#print(det_list)\n", "detector=det_list\n", "#print(detector)\n", "\n", "#def get_file(shot, identifier):\n", "def get_file(shot, detector):\n", " #det_list = detectors.split(' ')\n", " #print(len(detector))\n", " #print(detector)\n", " pom=0 #pomocna promenna pro rozhodnuti,zda ukoncit script\n", " pom1=0\n", " pom2=0\n", " for i in range(0,len(det_list)):\n", " #pom = 0\n", " identifier=str(det_list[i])+'_shot_'+str(shot)+'_-450V'\n", " print(identifier)\n", " URL = 'http://golem.fjfi.cvut.cz/shots/{shot}/Diagnostics/TimepixDetector/RasPi4-c/{identifier}.t3pa'\n", " url = URL.format(shot=shot, identifier=identifier)\n", " print(url)\n", " det =det_list[i]\n", " try:\n", " file_name_t3pa=url\n", " with urllib.request.urlopen(file_name_t3pa) as ft3pa:\n", " line = ft3pa.readline()\n", " line = line.decode('utf‐8')\n", " pom=pom+1\n", " print(pom)\n", " if pom>0:\n", " break\n", " ft3pa.close\n", " \n", " #break\n", " \n", " except HTTPError:\n", " if pom==0:\n", " try:\n", " \n", " if (i==(len(detector)-1)) and pom>0:\n", " print('chyba\\n')#StopExecution\n", " pom1=1\n", " break\n", " \n", " if (i<(len(detector)-1)) and pom>0:\n", " print('chyba\\n')#StopExecution\n", " #print(len(detector))\n", " continue\n", " if (i<(len(detector)-1)) and pom==0:\n", " print('chyba\\n')#StopExecution\n", " #print(len(detector))\n", " continue\n", " \n", " if (i==(len(detector)-1)) and pom==0:\n", " pass\n", " \n", " except:\n", " raise StopExecution\n", " raise StopExecution\n", " print(pom) \n", " \n", " return file_name_t3pa, det\n", "\n", "def load_t3pa_file(file_t3pa, hit_map_fig, det):\n", " matrix_index=[]\n", " RowNo=[]\n", " ClmNo=[]\n", " pocet_udalosti = 0\n", " #RowNo=[]\n", " #ClmNo=[]\n", " \n", " count = []\n", " for i in range(0,256): \n", " pom = [] # pomocne pole\n", " \n", " for j in range(0,256):\n", " pom.append(0)\n", " count.append(pom)\n", " \n", " with urllib.request.urlopen(file_t3pa) as ft3pa:\n", " line = ft3pa.readline()\n", " line = line.decode('utf‐8')\n", " while True:\n", " line = ft3pa.readline()\n", " line = line.decode('utf‐8')\n", " word=line.strip().split('\\t') #v t3pa souboru je oddelovac \\t\n", " #print(word)\n", " #poc=0\n", " if line == '':\n", " break\n", " \n", " \n", " pocet_udalosti = pocet_udalosti + 1\n", " \n", " RowNo.append(int(int(word[1]))//int(256))\n", " ClmNo.append(int(int(word[1]))%int(256))\n", " \n", " x=(int(int(word[1]))//int(256))\n", " y=(int(int(word[1]))%int(256))\n", " \n", " count[x][y]=count[x][y]+1\n", " \n", " \n", " plt.hist2d(RowNo,ClmNo,bins=(256,256),cmap='Blues')\n", " cb=plt.colorbar()\n", " cb.set_label('Counts in bin')\n", " #plt.show() \n", " plt.savefig(hit_map_fig, dpi = 1000)\n", " plt.savefig(det, dpi = 1000)\n", " plt.clf()\n", " #plt.show()\n", " \n", " ft3pa.close\n", " print('pocet udalosti: '+str(pocet_udalosti))\n", " #print(len(index))\n", " return #matrix_index, pocet_udalosti\n", "\n", "\n", "#soubory, ktere ctu:\n", "t3pa, DetName =get_file(shot, detector)\n", "\n", "#vytvorene soubory:\n", "#hit_map_hist='F10-W0049_shot_'+str(shot)+'_-450V.txt'\n", "hit_map_fig='icon-fig'\n", "#hit_map_fig='RasPi4-c.png'\n", "\n", "load_t3pa_file(t3pa, hit_map_fig, DetName)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 4 }