less worse input/output

notebooks/wut-web-dev.ipynb

@@ -136,9 +136,6 @@
    "source": [
     "waterfallpng=os.path.basename(rfile)\n",
     "print('Random waterfall:', waterfallpng)\n",
-    "#f=text.EvalFormatter()\n",
-    "#obsid=(f.format(\"{waterfall[slice(10,17)]}\", waterfall=waterfallpng))\n",
-    "#print('Observation URL: https://network.satnogs.org/observations/{}'.format(obsid))\n",
     "if prediction_bool[0] == False:\n",
     "  rating = 'BAD'\n",
     "else:\n",
@@ -162,24 +159,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#display(Image(filename=rfile, width=300))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get Obs ID from user. obsid()\n",
-    "# Validate Obs ID.\n",
-    "# Predict obsid. predict()\n",
-    "# Return prediction.\n",
-    "# Prediction needs to find corresponding waterfall.\n",
-    "# Load obsid json.\n",
-    "# Get transmitter_mode.\n",
-    "# Copy waterfall to processing location (meh, should hit directly).\n",
-    "# Load correct .tf model file based on transmitter_mode."
+    "from collections import defaultdict"
    ]
   },
   {
@@ -192,25 +172,6 @@
     "minobsid=1292461"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "        #display(Image(filename=rfile, width=100))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#import pandas as pd\n",
-    "#from pandas.io.json import json_normalize"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -221,11 +182,22 @@
     "    if int(datObs) >  ( minobsid - 1 ) and int(datObs) < maxobsid:\n",
     "        obsjsonfile=('/srv/satnogs/download/' + format(datObs) + '/' + format(datObs) + '.json')\n",
     "        #!cat $obsjsonfile\n",
-    "        print('observation json file: ', obsjsonfile )\n",
+    "        print('observation json file: ', obsjsonfile)\n",
     "        with open(obsjsonfile) as f:\n",
-    "            data = json.load(f)\n",
-    "        print(data)\n",
-    "        print(type(data))"
+    "            content = f.read()\n",
+    "            data = json.loads(content)\n",
+    "        res = {x : data[x] for x in range(len(data))}\n",
+    "        res2 = dict(enumerate(data))\n",
+    "        obs_dict=(res2[0])\n",
+    "        obs_waterfallurl=(obs_dict['waterfall'])\n",
+    "        obs_id=(obs_dict['id'])\n",
+    "        print('obs_waterfall: ', obs_waterfallurl)\n",
+    "        obs_waterfall=os.path.basename(obs_waterfallurl)\n",
+    "        print(obs_waterfall)\n",
+    "        print('Observation ID: ', obs_id)\n",
+    "        obs_waterfall_path = os.path.join('/srv/satnogs/download', str(obs_id), obs_waterfall)\n",
+    "        print(obs_waterfall_path)\n",
+    "        display(Image(filename=obs_waterfall_path, width=100))"
    ]
   },
   {
@@ -245,7 +217,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#display(Image(filename=rfile, width=300))"
+    "# Get Obs ID from user. obsid()\n",
+    "# Validate Obs ID.\n",
+    "# Predict obsid. predict()\n",
+    "# Return prediction.\n",
+    "# Prediction needs to find corresponding waterfall.\n",
+    "# Load obsid json.\n",
+    "# Get transmitter_mode.\n",
+    "# Copy waterfall to processing location (meh, should hit directly).\n",
+    "# Load correct .tf model file based on transmitter_mode."
    ]
   }
  ],