adding HistogramDescriptionPersister

.gitignore

@@ -13,4 +13,5 @@ src/captchaImage.jpeg
 src/HowBadIsMyBatch.nbconvert.html
 src/__pycache__/
 src/intensivstationen/__pycache__/
-google-chrome-stable_current_amd64*
+google-chrome-stable_current_amd64*
+docs/data/histograms/

src/HistogramDescriptionPersister.py

@@ -0,0 +1,22 @@
+from TableByBatchcodeFilter import TableByBatchcodeFilter
+from DictByBatchcodeTable2DictConverter import DictByBatchcodeTable2DictConverter
+from IOUtils import IOUtils
+
+
+class HistogramDescriptionPersister:
+
+    def __init__(self, directory):
+        self.directory = directory
+
+    def saveHistogramDescriptionsForBatchcodes(self, batchcodes, dictByBatchcodeTable):
+        for batchcode in batchcodes:
+            histogramDescription = self._getHistogramDescriptionForBatchcode(batchcode, dictByBatchcodeTable)
+            print('saving', batchcode)
+            IOUtils.saveDictAsJson(
+                histogramDescription,
+                f'{self.directory}/{batchcode}.json')
+
+    def _getHistogramDescriptionForBatchcode(self, batchcode, dictByBatchcodeTable):
+        dictByBatchcodeTableForBatchcode = TableByBatchcodeFilter.filterTableByBatchcode(batchcode, dictByBatchcodeTable)
+        histogramDescription = DictByBatchcodeTable2DictConverter.convertDictByBatchcodeTable2Dict(dictByBatchcodeTableForBatchcode, batchcode)
+        return histogramDescription

src/HowBadIsMyBatch.ipynb

@@ -87,6 +87,17 @@
     "international_VAERSVAX_Covid19"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "99137f64",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batchcodes = international_VAERSVAX_Covid19['VAX_LOT'].dropna().drop_duplicates().to_list()\n",
+    "batchcodes"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -171,11 +182,24 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5c77a3d4",
+   "id": "fc2c5591",
    "metadata": {},
    "outputs": [],
    "source": [
-    "dictByBatchcodeTable"
+    "from HistogramDescriptionPersister import HistogramDescriptionPersister\n",
+    "\n",
+    "histogramDescriptionPersister = HistogramDescriptionPersister('../docs/data/histograms')\n",
+    "histogramDescriptionPersister.saveHistogramDescriptionsForBatchcodes(['eh9899'], dictByBatchcodeTable)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab4ccc60",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batchcodes[:10]"
    ]
   },
   {
@@ -186,7 +210,7 @@
    "outputs": [],
    "source": [
     "from TableByBatchcodeFilter import TableByBatchcodeFilter\n",
-    "filteredTable = TableByBatchcodeFilter.filterTableByBatchcode('FE6208', dictByBatchcodeTable)\n",
+    "filteredTable = TableByBatchcodeFilter.filterTableByBatchcode('<NA>', dictByBatchcodeTable)\n",
     "filteredTable"
    ]
   },
@@ -197,11 +221,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from DictByBatchcodeTable2JsonConverter import DictByBatchcodeTable2JsonConverter\n",
+    "from DictByBatchcodeTable2DictConverter import DictByBatchcodeTable2DictConverter\n",
     "import json\n",
-    "# FK-TODO: convertDictByBatchcodeTable2Json() für alle Batchcodes aufrufen und jedes Ergebnis in einer Datei batchcode.json speichern.\n",
+    "# FK-TODO: filterTableByBatchcode() und convertDictByBatchcodeTable2Json() für alle Batchcodes aufrufen und jedes Ergebnis in einer Datei batchcode.json speichern.\n",
-    "jsonActual = DictByBatchcodeTable2JsonConverter.convertDictByBatchcodeTable2Json(filteredTable, 'FE6208')\n",
+    "dict = DictByBatchcodeTable2DictConverter.convertDictByBatchcodeTable2Dict(filteredTable, 'FE6208')\n",
-    "print(json.dumps(json.loads(jsonActual), indent=2))"
+    "dict\n",
+    "# print(json.dumps(json.loads(jsonActual), indent=2))"
    ]
   },
   {
@@ -506,7 +531,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8 (main, Nov 24 2022, 14:13:03) [GCC 11.2.0]"
+   "version": "3.10.8"
   },
   "vscode": {
    "interpreter": {