def setUp(self):
ParserUnitTestCase.setUp(self)
# metadata header dictionary
header_dict = {
DefaultHeaderKey.SOURCE_FILE: 'D:\\Storage\\Programs\\OOI\\Group 5\\Correspondence\\07_18_14 sample files\\files\\11079419.SNA',
DefaultHeaderKey.PROCESSED: '07/18/2014 13:49:01',
DefaultHeaderKey.USING_VERSION: '1.11',
DefaultHeaderKey.DEVICE: 'SNA',
DefaultHeaderKey.START_DATE: '04/17/2014'}
# from 3222:4444
particle_a_match = DATA_MATCHER.match('1397774268.772\t0.000\ty\tSDB' \
'\t2014\t107\t22.627037\t0.000\t0.000\t0.000\t0.000\t0.000\t484\t0\t1\t497\t490\t484\t' \
'494\t481\t490\t486\t473\t495\t496\t503\t493\t494\t486\t480\t503\t482\t484\t494\t488\t' \
'493\t503\t485\t493\t492\t484\t483\t486\t491\t481\t485\t485\t493\t481\t483\t490\t490\t' \
'485\t488\t483\t499\t501\t489\t488\t488\t481\t487\t479\t491\t485\t496\t488\t495\t474\t' \
'485\t474\t484\t482\t487\t497\t501\t489\t492\t485\t486\t488\t481\t477\t497\t478\t493\t' \
'488\t491\t488\t491\t484\t485\t493\t493\t477\t487\t483\t485\t487\t485\t473\t461\t460\t' \
'462\t482\t485\t489\t485\t489\t484\t492\t481\t490\t491\t482\t481\t487\t467\t483\t480\t' \
'488\t474\t487\t490\t483\t469\t483\t489\t486\t481\t489\t482\t481\t477\t484\t487\t489\t' \
'471\t471\t486\t468\t481\t488\t484\t481\t482\t489\t483\t485\t482\t489\t500\t488\t488\t' \
'496\t483\t484\t481\t480\t499\t492\t503\t482\t482\t486\t481\t477\t490\t473\t491\t484\t' \
'489\t493\t470\t469\t467\t468\t483\t478\t483\t482\t485\t481\t485\t491\t473\t491\t478\t' \
'484\t490\t480\t491\t470\t475\t474\t465\t483\t473\t483\t464\t477\t479\t478\t491\t483\t' \
'493\t480\t487\t482\t480\t481\t487\t485\t485\t477\t483\t501\t484\t491\t473\t487\t478\t' \
'486\t499\t489\t485\t476\t480\t490\t493\t489\t482\t489\t470\t487\t482\t482\t488\t479\t' \
'481\t485\t489\t480\t482\t465\t467\t474\t475\t485\t488\t487\t477\t477\t483\t480\t479\t' \
'483\t474\t486\t482\t475\t483\t485\t492\t484\t483\t490\t478\t468\t475\t408\t0.000\t0.000' \
'\t0.000\t246604\t35.657\t11.969\t0.092\t5.039\t57.381\t0.000\t0.000\t0.000\t0.000\t0.000' \
'\t0\t-1.000\t-1.000\t-1.000\t36\n')
# metadata arguments is a tuple, 1st item header dictionary, 2nd item 1st particle data match
self.meta_telem_particle = NutnrJCsppMetadataTelemeteredDataParticle((header_dict, particle_a_match))
# generate the dictionary so the timestamp is set
self.meta_telem_particle.generate_dict()
# from 3222:4444
self.telem_particle_a = NutnrJCsppTelemeteredDataParticle(particle_a_match)
# generate the dictionary so the timestamp is set
self.telem_particle_a.generate_dict()
# from 4444:6136
particle_b_match = DATA_MATCHER.match('1397774270.706\t0.000\ty\tSLB\t2014' \
'\t107\t22.627543\t11.962\t0.168\t-0.029\t-0.027\t0.000\t24886\t484\t1\t516\t515\t511\t515' \
'\t523\t529\t528\t517\t531\t512\t515\t519\t537\t521\t517\t518\t519\t521\t528\t544\t569\t621' \
'\t743\t999\t1388\t2020\t2951\t4265\t6010\t8258\t11016\t14300\t18061\t22265\t26749\t31334\t' \
'35848\t40005\t43493\t46201\t47859\t48525\t48346\t47436\t46097\t44624\t43146\t41812\t40772' \
'\t40016\t39545\t39401\t39552\t39975\t40661\t41554\t42696\t44017\t45536\t47208\t49022\t50842' \
'\t52696\t54441\t55934\t57125\t57914\t58107\t57764\t56797\t55317\t53413\t51132\t48700\t46208' \
'\t43741\t41442\t39306\t37373\t35653\t34187\t32882\t31780\t30855\t30151\t29578\t29201\t28970' \
'\t28898\t28982\t29196\t29597\t30070\t30705\t31448\t32312\t33195\t34092\t35017\t35836\t36571' \
'\t37108\t37426\t37533\t37352\t36905\t36209\t35337\t34291\t33155\t31949\t30740\t29591\t28465\t' \
'27451\t26551\t25702\t24994\t24394\t23877\t23495\t23189\t23013\t22920\t22918\t23001\t23200\t' \
'23481\t23800\t24218\t24708\t25230\t25829\t26463\t27147\t27884\t28640\t29406\t30237\t31060\t' \
'31856\t32633\t33373\t34075\t34701\t35240\t35707\t36087\t36347\t36461\t36470\t36346\t36112\t' \
'35790\t35288\t34739\t34113\t33394\t32685\t31936\t31123\t30329\t29575\t28812\t28077\t27350\t' \
'26626\t25929\t25210\t24519\t23847\t23193\t22583\t22006\t21510\t21067\t20653\t20296\t19991\t' \
'19733\t19515\t19318\t19179\t19022\t18897\t18752\t18617\t18512\t18389\t18273\t18160\t18060\t' \
'17966\t17896\t17857\t17828\t17796\t17799\t17773\t17792\t17809\t17867\t17908\t17940\t17970\t' \
'18012\t18050\t18081\t18113\t18103\t18110\t18098\t18051\t17997\t17927\t17815\t17691\t17550\t' \
'17393\t17242\t17096\t16896\t16622\t16315\t15969\t15632\t15331\t15063\t14804\t14547\t14319\t' \
'14112\t13884\t13699\t13607\t13496\t13336\t13064\t12810\t12586\t12391\t12173\t11995\t11838\t' \
'11702\t11617\t11557\t11461\t11339\t11214\t11163\t11075\t10838\t10362\t9568\t8565\t11.438\t' \
'11.063\t12.563\t246606\t35.743\t11.677\t12.002\t4.991\t511.803\t24.446\t2.634\t-2.808\t0.052' \
'\t0.000\t0\t-1.000\t-1.000\t-1.000\t8D\n')
self.telem_particle_b = NutnrJCsppTelemeteredDataParticle(particle_b_match)
# generate the dictionary so the timestamp is set
self.telem_particle_b.generate_dict()
# from 6136:7828
particle_c_match = DATA_MATCHER.match('1397774271.656\t0.000\ty\tSLB\t2014' \
'\t107\t22.627810\t12.084\t0.169\t-0.029\t-0.027\t0.000\t24863\t484\t1\t514\t501\t507\t510\t' \
'515\t516\t523\t525\t517\t515\t512\t512\t511\t535\t531\t531\t531\t535\t536\t550\t565\t641\t' \
'764\t978\t1375\t1990\t2923\t4245\t6006\t8238\t10990\t14277\t18028\t22218\t26677\t31248\t' \
'35767\t39910\t43402\t46121\t47783\t48422\t48259\t47374\t46036\t44554\t43076\t41750\t40702' \
'\t39941\t39488\t39373\t''39523\t39932\t40613\t41498\t42629\t43944\t45464\t47144\t48960\t' \
'50781\t52636\t54380\t55870\t57061\t57856\t58049\t57683\t56725\t55255\t53330\t51063\t48617' \
'\t46149\t43706\t41403\t39264\t37357\t35633\t34135\t32843\t31742\t30833\t30106\t29544\t29186' \
'\t28937\t28873\t28963\t29177\t29553\t30049\t30670\t31424\t32272\t33147\t34090\t34981\t35812' \
'\t36553\t37089\t37447\t37530\t37347\t36881\t36196\t35306\t34260\t33108\t31918\t30721\t29553' \
'\t28439\t27419\t26513\t25672\t24961\t24349\t23872\t23453\t23163\t22972\t22893\t22913\t22986' \
'\t23169\t23457\t23785\t24203\t24686\t25210\t25796\t26434\t27104\t27841\t28617\t29394\t30211' \
'\t31027\t31825\t32605\t33348\t34050\t34670\t35216\t35666\t36060\t36285\t36411\t36419\t36321' \
'\t36066\t35751\t35258\t34701\t34076\t33355\t32640\t31899\t31105\t30313\t29550\t28787\t28058' \
'\t27331\t26616\t25917\t25197\t24496\t23827\t23179\t22557\t21981\t21485\t21050\t20646\t20300' \
'\t19987\t19755\t19530\t19349\t19185\t19031\t18884\t18745\t18603\t18478\t18380\t18275\t18147' \
'\t18055\t17972\t17921\t17865\t17821\t17799\t17789\t17757\t17787\t17800\t17852\t17908\t17934' \
'\t17973\t17997\t18055\t18073\t18123\t18105\t18100\t18105\t18048\t17978\t17902\t17803\t17672' \
'\t17542\t17402\t17262\t17101\t16890\t16599\t16315\t15956\t15623\t15329\t15042\t14796\t14532' \
'\t14322\t14112\t13897\t13725\t13605\t13505\t13330\t13064\t12793\t12577\t12377\t12169\t11989' \
'\t11836\t11693\t11606\t11555\t11470\t11341\t11216\t11159\t11064\t10839\t10361\t9578\t8554\t' \
'11.438\t11.063\t12.563\t246607\t35.873\t11.739\t11.970\t5.032\t517.250\t24.266\t3.037\t-2.909' \
'\t0.118\t0.000\t0\t-1.000\t-1.000\t-1.000\tD9\n')
self.telem_particle_c = NutnrJCsppTelemeteredDataParticle(particle_c_match)
# generate the dictionary so the timestamp is set
self.telem_particle_c.generate_dict()
# from 7828:9055
particle_d_match = DATA_MATCHER.match('1397774272.683\t0.000\tn\tSDB\t2014\t107\t22.628126\t0.000' \
'\t0.000\t0.000\t0.000\t0.000\t479\t0\t1\t489\t492\t483\t477\t481\t481\t487\t474\t481\t486\t475' \
'\t487\t492\t485\t491\t485\t478\t472\t486\t489\t477\t491\t478\t475\t469\t483\t486\t473\t483\t468' \
'\t461\t469\t465\t489\t485\t488\t489\t491\t478\t486\t475\t482\t489\t489\t473\t481\t481\t467\t481' \
'\t484\t482\t474\t481\t477\t483\t488\t478\t484\t481\t481\t477\t494\t497\t473\t471\t487\t473\t485' \
'\t478\t467\t474\t485\t475\t491\t496\t485\t488\t478\t479\t483\t481\t471\t470\t487\t470\t471\t461' \
'\t473\t478\t474\t475\t477\t497\t483\t471\t475\t477\t484\t480\t499\t485\t474\t487\t493\t480\t479' \
'\t476\t467\t459\t487\t470\t471\t468\t487\t473\t490\t485\t485\t481\t477\t479\t482\t472\t471\t465' \
'\t471\t458\t487\t482\t479\t487\t482\t477\t493\t477\t473\t491\t473\t478\t488\t481\t492\t490\t483' \
'\t477\t484\t472\t475\t465\t477\t488\t477\t477\t491\t477\t475\t477\t474\t478\t473\t479\t468\t481' \
'\t488\t478\t486\t473\t467\t467\t471\t458\t476\t461\t481\t488\t487\t479\t481\t486\t477\t473\t485' \
'\t478\t485\t490\t489\t492\t483\t481\t480\t472\t469\t460\t471\t473\t472\t477\t489\t473\t481\t480' \
'\t469\t471\t467\t473\t477\t469\t471\t484\t491\t478\t494\t484\t495\t485\t484\t471\t471\t467\t475' \
'\t471\t477\t491\t483\t487\t471\t467\t470\t470\t472\t488\t490\t486\t490\t484\t473\t473\t464\t488' \
'\t480\t479\t475\t483\t493\t487\t471\t481\t470\t461\t459\t462\t474\t474\t482\t467\t423\t11.438\t' \
'11.063\t12.563\t246606\t35.799\t11.866\t11.963\t5.010\t112.953\t0.000\t0.000\t0.000\t0.000\t0.000' \
'\t0\t-1.000\t-1.000\t-1.000\t16\n')
self.telem_particle_d = NutnrJCsppTelemeteredDataParticle(particle_d_match)
# generate the dictionary so the timestamp is set
self.telem_particle_d.generate_dict()
particle_e_match = DATA_MATCHER.match('1397774273.831\t0.000\ty\tSDB\t2014\t107\t22.628356\t0.000\t' \
'0.000\t0.000\t0.000\t0.000\t481\t0\t1\t489\t486\t479\t477\t475\t492\t487\t488\t490\t501\t491\t' \
'488\t484\t477\t471\t490\t474\t477\t477\t487\t490\t491\t497\t473\t491\t489\t483\t473\t481\t482\t' \
'494\t489\t497\t492\t475\t477\t484\t485\t473\t485\t478\t471\t477\t472\t459\t471\t490\t476\t475\t' \
'485\t477\t485\t480\t483\t473\t486\t491\t489\t473\t487\t491\t493\t503\t489\t485\t480\t477\t473\t' \
'480\t487\t493\t477\t485\t477\t485\t470\t494\t484\t479\t489\t491\t485\t479\t503\t484\t487\t477\t' \
'477\t483\t481\t486\t491\t493\t477\t487\t492\t500\t492\t494\t489\t480\t485\t484\t487\t483\t475\t' \
'487\t490\t489\t481\t481\t485\t472\t471\t481\t477\t483\t477\t473\t468\t475\t474\t474\t471\t474\t' \
'470\t469\t479\t477\t474\t485\t478\t477\t482\t469\t476\t482\t481\t481\t499\t482\t473\t473\t470\t' \
'477\t468\t469\t481\t489\t486\t493\t478\t479\t483\t482\t474\t487\t478\t480\t472\t475\t489\t484\t' \
'473\t483\t477\t477\t483\t486\t473\t473\t477\t480\t491\t477\t467\t483\t484\t493\t495\t487\t479\t' \
'485\t482\t465\t491\t476\t485\t488\t477\t471\t467\t458\t471\t472\t489\t491\t489\t481\t494\t473\t' \
'480\t471\t481\t474\t480\t482\t483\t485\t470\t475\t477\t473\t472\t485\t475\t481\t488\t477\t482\t' \
'473\t471\t467\t483\t482\t493\t493\t483\t491\t493\t485\t471\t487\t482\t475\t474\t478\t482\t485\t' \
'484\t472\t471\t476\t486\t489\t497\t481\t483\t497\t475\t473\t477\t477\t474\t473\t394\t11.438\t' \
'11.125\t12.563\t246606\t35.805\t11.911\t11.965\t5.049\t111.832\t0.000\t0.000\t0.000\t0.000\t0.000' \
'\t0\t-1.000\t-1.000\t-1.000\t93\n')
self.telem_particle_e = NutnrJCsppTelemeteredDataParticle(particle_e_match)
# generate the dictionary so the timestamp is set
self.telem_particle_e.generate_dict()
self.meta_telem_e = NutnrJCsppMetadataTelemeteredDataParticle((header_dict, particle_e_match))
# generate the dictionary so the timestamp is set
self.meta_telem_e.generate_dict()
# the particle at the end of the long file 224798:226490
particle_long_end_match = DATA_MATCHER.match('1397774471.010\t0.000\tn\tSLB\t2014\t107' \
'\t22.683184\t0.717\t0.010\t-0.022\t-0.022\t0.000\t24747\t482\t1\t517\t517\t508\t506\t500\t515\t522\t' \
'523\t522\t531\t527\t521\t541\t521\t511\t502\t505\t521\t517\t532\t579\t654\t801\t1074\t1555\t2280\t' \
'3357\t4853\t6855\t9373\t12459\t16069\t20157\t24643\t29400\t34168\t38801\t42966\t46394\t48931\t50337' \
'\t50690\t50177\t48948\t47287\t45540\t43811\t42299\t41061\t40156\t39572\t39341\t39376\t39706\t40324\t' \
'41152\t42189\t43440\t44902\t46512\t48277\t50040\t51858\t53556\t55002\t56169\t56916\t57085\t56756\t' \
'55800\t54332\t52490\t50237\t47824\t45403\t43002\t40749\t38656\t36759\t35078\t33608\t32339\t31264\t' \
'30381\t29670\t29113\t28756\t28544\t28461\t28567\t28789\t29176\t29656\t30283\t31026\t31858\t32728\t' \
'33637\t34534\t35337\t36071\t36609\t36939\t37031\t36856\t36417\t35738\t34859\t33819\t32720\t31517\t' \
'30349\t29192\t28092\t27080\t26165\t25355\t24635\t24048\t23543\t23143\t22871\t22676\t22585\t22611\t' \
'22698\t22893\t23145\t23489\t23900\t24345\t24859\t25459\t26070\t26725\t27465\t28224\t28995\t29793\t' \
'30585\t31380\t32165\t32906\t33587\t34202\t34747\t35187\t35568\t35817\t35926\t35943\t35834\t35614\t' \
'35248\t34794\t34238\t33620\t32904\t32195\t31461\t30669\t29921\t29156\t28419\t27700\t26972\t26264\t' \
'25577\t24866\t24175\t23514\t22852\t22267\t21712\t21220\t20795\t20396\t20039\t19735\t19502\t19285\t' \
'19096\t18946\t18786\t18646\t18514\t18358\t18247\t18175\t18048\t17932\t17837\t17756\t17702\t17653\t' \
'17614\t17600\t17585\t17561\t17595\t17590\t17655\t17716\t17744\t17780\t17818\t17867\t17909\t17921\t' \
'17911\t17912\t17898\t17854\t17789\t17715\t17626\t17497\t17367\t17221\t17075\t16923\t16727\t16456\t' \
'16152\t15793\t15469\t15189\t14904\t14641\t14390\t14165\t13957\t13747\t13568\t13465\t13354\t13191\t' \
'12936\t12676\t12460\t12258\t12053\t11863\t11717\t11582\t11506\t11437\t11349\t11225\t11093\t11037\t' \
'10955\t10741\t10251\t9467\t8475\t12.313\t13.188\t13.188\t246633\t34.853\t11.745\t11.996\t4.988\t' \
'493.629\t26.120\t0.411\t-3.311\t0.583\t0.000\t0\t-1.000\t-1.000\t-1.000\t43\n')
self.telem_particle_long = NutnrJCsppTelemeteredDataParticle(particle_long_end_match)
# generate the dictionary so the timestamp is set
self.telem_particle_long.generate_dict()
# recovered particles using the same data as telemetered particles
self.meta_recov_particle = NutnrJCsppMetadataRecoveredDataParticle((header_dict, particle_a_match))
self.meta_recov_particle.generate_dict()
self.recov_particle_a = NutnrJCsppRecoveredDataParticle(particle_a_match)
self.recov_particle_a.generate_dict()
self.recov_particle_b = NutnrJCsppRecoveredDataParticle(particle_b_match)
self.recov_particle_b.generate_dict()
self.recov_particle_c = NutnrJCsppRecoveredDataParticle(particle_c_match)
self.recov_particle_c.generate_dict()
self.recov_particle_d = NutnrJCsppRecoveredDataParticle(particle_d_match)
self.recov_particle_d.generate_dict()
self.recov_particle_e = NutnrJCsppRecoveredDataParticle(particle_e_match)
self.recov_particle_e.generate_dict()
self.file_ingested_value = None
self.state_callback_value = None
self.publish_callback_value = None
self.exception_callback_value = []
