WIP

db876eec · Martin Weise · 92ea5cd9 · db876eec · db876eec
Verified Commit db876eec authored 7 months ago by Martin Weise
--- a/.jupyter/Pipfile.lock
+++ b/.jupyter/Pipfile.lock
@@ -108,11 +108,11 @@
        },
        "aiosignal": {
            "hashes": [
-                "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc",
+                "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5",
-                "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"
+                "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"
            ],
-            "markers": "python_version >= '3.7'",
+            "markers": "python_version >= '3.9'",
-            "version": "==1.3.1"
+            "version": "==1.3.2"
        },
        "annotated-types": {
            "hashes": [
@@ -423,19 +423,43 @@
        },
        "dbrepo": {
            "hashes": [
-                "sha256:49a18a9aea3cdcc32460a0c988a78ddf6ba7cd07ae1cbb995a3c30da4bb2b773",
+                "sha256:19086c6f7aa3bc30de813c0622eac3a31ecc21c62ed7f2cd98406b2b308ec80f",
-                "sha256:6736240f42cd53bcda568186c25cf2fc75719f1f291fd8dd368ec16f22ba138a"
+                "sha256:6d5ad9fa36de8ef7ff16a6a860bec0188dd78fc8fd9c55c84d9d1c68e6df486b"
            ],
            "index": "pypi",
-            "version": "==1.5.2"
+            "version": "==1.5.3"
        },
        "debugpy": {
            "hashes": [
-                "sha256:97aa00af95983887806e06f37e144909d35215d66db74f8b0e9799b4eef40cfd",
+                "sha256:0e22f846f4211383e6a416d04b4c13ed174d24cc5d43f5fd52e7821d0ebc8920",
-                "sha256:ee4ed903cbeb14ee1839549f953af519ffa512598ec987b2051f9c868e2249a8"
+                "sha256:116bf8342062246ca749013df4f6ea106f23bc159305843491f64672a55af2e5",
+                "sha256:189058d03a40103a57144752652b3ab08ff02b7595d0ce1f651b9acc3a3a35a0",
+                "sha256:23dc34c5e03b0212fa3c49a874df2b8b1b8fda95160bd79c01eb3ab51ea8d851",
+                "sha256:28e45b3f827d3bf2592f3cf7ae63282e859f3259db44ed2b129093ca0ac7940b",
+                "sha256:2b26fefc4e31ff85593d68b9022e35e8925714a10ab4858fb1b577a8a48cb8cd",
+                "sha256:32db46ba45849daed7ccf3f2e26f7a386867b077f39b2a974bb5c4c2c3b0a280",
+                "sha256:40499a9979c55f72f4eb2fc38695419546b62594f8af194b879d2a18439c97a9",
+                "sha256:44b1b8e6253bceada11f714acf4309ffb98bfa9ac55e4fce14f9e5d4484287a1",
+                "sha256:52c3cf9ecda273a19cc092961ee34eb9ba8687d67ba34cc7b79a521c1c64c4c0",
+                "sha256:52d8a3166c9f2815bfae05f386114b0b2d274456980d41f320299a8d9a5615a7",
+                "sha256:61bc8b3b265e6949855300e84dc93d02d7a3a637f2aec6d382afd4ceb9120c9f",
+                "sha256:654130ca6ad5de73d978057eaf9e582244ff72d4574b3e106fb8d3d2a0d32458",
+                "sha256:6ad2688b69235c43b020e04fecccdf6a96c8943ca9c2fb340b8adc103c655e57",
+                "sha256:6c1f6a173d1140e557347419767d2b14ac1c9cd847e0b4c5444c7f3144697e4e",
+                "sha256:84e511a7545d11683d32cdb8f809ef63fc17ea2a00455cc62d0a4dbb4ed1c308",
+                "sha256:85de8474ad53ad546ff1c7c7c89230db215b9b8a02754d41cb5a76f70d0be296",
+                "sha256:8988f7163e4381b0da7696f37eec7aca19deb02e500245df68a7159739bbd0d3",
+                "sha256:8da1db4ca4f22583e834dcabdc7832e56fe16275253ee53ba66627b86e304da1",
+                "sha256:8ffc382e4afa4aee367bf413f55ed17bd91b191dcaf979890af239dda435f2a1",
+                "sha256:987bce16e86efa86f747d5151c54e91b3c1e36acc03ce1ddb50f9d09d16ded0e",
+                "sha256:ad7efe588c8f5cf940f40c3de0cd683cc5b76819446abaa50dc0829a30c094db",
+                "sha256:bb3b15e25891f38da3ca0740271e63ab9db61f41d4d8541745cfc1824252cb28",
+                "sha256:c928bbf47f65288574b78518449edaa46c82572d340e2750889bbf8cd92f3737",
+                "sha256:ce291a5aca4985d82875d6779f61375e959208cdf09fcec40001e65fb0a54768",
+                "sha256:d8768edcbeb34da9e11bcb8b5c2e0958d25218df7a6e56adf415ef262cd7b6d1"
            ],
            "markers": "python_version >= '3.8'",
-            "version": "==1.8.10"
+            "version": "==1.8.11"
        },
        "decorator": {
            "hashes": [
@@ -1431,11 +1455,11 @@
        },
        "python-json-logger": {
            "hashes": [
-                "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c",
+                "sha256:2c11056458d3f56614480b24e9cb28f7aba69cbfbebddbb77c92f0ec0d4947ab",
-                "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"
+                "sha256:d73522ddcfc6d0461394120feaddea9025dc64bf804d96357dd42fa878cc5fe8"
            ],
-            "markers": "python_version >= '3.6'",
+            "markers": "python_version >= '3.8'",
-            "version": "==2.0.7"
+            "version": "==3.2.0"
        },
        "pytz": {
            "hashes": [

--- a/.jupyter/default.ipynb
+++ b/.jupyter/default.ipynb
@@ -13,7 +13,12 @@
   "id": "3ca0c15a13bd6882"
  },
  {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-14T07:22:43.939456Z",
+     "start_time": "2024-12-14T07:22:43.577273Z"
+    }
+   },
   "cell_type": "code",
   "source": [
    "import dotenv\n",
@@ -23,7 +28,7 @@
   ],
   "id": "4eb6c2470f464173",
   "outputs": [],
-   "execution_count": null
+   "execution_count": 1
  },
  {
   "metadata": {},
@@ -42,7 +47,12 @@
   "id": "2cbd7a83a800b879"
  },
  {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-14T07:22:44.325683Z",
+     "start_time": "2024-12-14T07:22:43.946474Z"
+    }
+   },
   "cell_type": "code",
   "source": [
    "from dbrepo.RestClient import RestClient\n",
@@ -52,7 +62,7 @@
   ],
   "id": "319e797ebb89b17b",
   "outputs": [],
-   "execution_count": null
+   "execution_count": 2
  },
  {
   "metadata": {},
@@ -65,19 +75,24 @@
   "id": "dc1ee2ab9378917"
  },
  {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-14T07:22:44.666058Z",
+     "start_time": "2024-12-14T07:22:44.409680Z"
+    }
+   },
   "cell_type": "code",
   "source": [
-    "# test_result_chloride_ageing = client.get_table_data(database_id, 615, df=True)\n",
+    "# test_result_chloride_ageing = client.get_table_data(database_id, 615)\n",
-    "# test_result_chloride = client.get_table_data(database_id, 614, df=True)\n",
+    "# test_result_chloride = client.get_table_data(database_id, 614)\n",
-    "# test_result_carb_nat = client.get_table_data(database_id, 613, df=True)\n",
+    "# test_result_carb_nat = client.get_table_data(database_id, 613)\n",
-    "# test_result_carb_acc = client.get_table_data(database_id, 612, df=True)\n",
+    "# test_result_carb_acc = client.get_table_data(database_id, 612)\n",
-    "# source_mat_analysis = client.get_table_data(database_id, 611, df=True)\n",
+    "# source_mat_analysis = client.get_table_data(database_id, 611)\n",
-    "# source_mat = client.get_table_data(database_id, 610, df=True)\n",
+    "# source_mat = client.get_table_data(database_id, 610)\n",
-    "# pruefstelle = client.get_table_data(database_id, 609, df=True)\n",
+    "# pruefstelle = client.get_table_data(database_id, 609)\n",
-    "# mix_recipe = client.get_table_data(database_id, 607, df=True)\n",
+    "# mix_recipe = client.get_table_data(database_id, 607)\n",
-    "# mix = client.get_table_data(database_id, 606, df=True)\n",
+    "# mix = client.get_table_data(database_id, 606)\n",
-    "betonvariante = client.get_table_data(database_id, 604, df=True)\n",
+    "betonvariante = client.get_table_data(database_id, 604)\n",
    "betonvariante\n",
    "\n",
    "# optional: export table data as .csv\n",
@@ -91,8 +106,71 @@
    "# client.import_table_data(database_id, 604, df)"
   ],
   "id": "initial_id",
-   "outputs": [],
+   "outputs": [
-   "execution_count": null
+    {
+     "data": {
+      "text/plain": [
+       "  id name\n",
+       "0  1    s\n",
+       "1  2    d\n",
+       "2  3    p\n",
+       "3  4    c"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>s</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>d</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>p</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>c</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 3
  },
  {
   "metadata": {},
@@ -105,18 +183,145 @@
   "id": "9098ea798a2ab598"
  },
  {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-14T07:22:45.110019Z",
+     "start_time": "2024-12-14T07:22:44.708283Z"
+    }
+   },
   "cell_type": "code",
   "source": [
-    "beton_acc = client.get_view_data(database_id, 70, df=True)\n",
+    "beton_acc = client.get_view_data(database_id, 70)\n",
    "beton_acc\n",
    "\n",
    "# optional: export view data as .csv\n",
    "# beton_acc.to_csv('beton_acc.csv')"
   ],
   "id": "ddd433035e632df9",
-   "outputs": [],
+   "outputs": [
-   "execution_count": null
+    {
+     "data": {
+      "text/plain": [
+       "                  mix date_production name      k_ac_mm_root_day  \\\n",
+       "0  20230918-N01-XC2-D      2023-09-18    d  1.590000000000000000   \n",
+       "1  20230918-N03-XC1-S      2023-09-18    s  2.070000000000000000   \n",
+       "2  20230919-N03-XC1-D      2023-09-19    d  1.390000000000000000   \n",
+       "3  20230920-N03-XC2-D      2023-09-20    d  1.260000000000000000   \n",
+       "4  20230918-N04-XC1-S      2023-09-18    s  2.090000000000000000   \n",
+       "5  20230919-N06-XC1-S      2023-09-19    s  1.070000000000000000   \n",
+       "6  20230920-N06-XC2-D      2023-09-20    d  0.770000000000000000   \n",
+       "\n",
+       "  test_procedure      mean_depth_t0_mm  \n",
+       "0        KB-TVFA  0.750000000000000000  \n",
+       "1        KB-TVFA  0.250000000000000000  \n",
+       "2        KB-TVFA  0.200000000000000000  \n",
+       "3        KB-TVFA  0.300000000000000000  \n",
+       "4        KB-TVFA  0.300000000000000000  \n",
+       "5        KB-TVFA                 0E-18  \n",
+       "6        KB-TVFA                 0E-18  "
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mix</th>\n",
+       "      <th>date_production</th>\n",
+       "      <th>name</th>\n",
+       "      <th>k_ac_mm_root_day</th>\n",
+       "      <th>test_procedure</th>\n",
+       "      <th>mean_depth_t0_mm</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20230918-N01-XC2-D</td>\n",
+       "      <td>2023-09-18</td>\n",
+       "      <td>d</td>\n",
+       "      <td>1.590000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0.750000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20230918-N03-XC1-S</td>\n",
+       "      <td>2023-09-18</td>\n",
+       "      <td>s</td>\n",
+       "      <td>2.070000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0.250000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20230919-N03-XC1-D</td>\n",
+       "      <td>2023-09-19</td>\n",
+       "      <td>d</td>\n",
+       "      <td>1.390000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0.200000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20230920-N03-XC2-D</td>\n",
+       "      <td>2023-09-20</td>\n",
+       "      <td>d</td>\n",
+       "      <td>1.260000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0.300000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20230918-N04-XC1-S</td>\n",
+       "      <td>2023-09-18</td>\n",
+       "      <td>s</td>\n",
+       "      <td>2.090000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0.300000000000000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>20230919-N06-XC1-S</td>\n",
+       "      <td>2023-09-19</td>\n",
+       "      <td>s</td>\n",
+       "      <td>1.070000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0E-18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>20230920-N06-XC2-D</td>\n",
+       "      <td>2023-09-20</td>\n",
+       "      <td>d</td>\n",
+       "      <td>0.770000000000000000</td>\n",
+       "      <td>KB-TVFA</td>\n",
+       "      <td>0E-18</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 4
  },
  {
   "metadata": {},
@@ -125,15 +330,33 @@
   "id": "54b9b1f732219331"
  },
  {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-14T07:22:46.566518Z",
+     "start_time": "2024-12-14T07:22:45.197517Z"
+    }
+   },
   "cell_type": "code",
   "source": [
-    "subset = client.create_subset(database_id, \"SELECT m.mix, date_production, b.name, ta.k_ac_mm_root_day, ta.test_procedure, ta.mean_depth_t0_mm FROM mix m JOIN betonvariante b ON b.id = m.betonvariante_id JOIN test_result_carb_acc ta ON m.id = ta.mix_id\", df=True)\n",
+    "subset = client.create_subset(database_id, \"SELECT m.mix, date_production, b.name, ta.k_ac_mm_root_day, ta.test_procedure, ta.mean_depth_t0_mm FROM mix m JOIN betonvariante b ON b.id = m.betonvariante_id JOIN test_result_carb_acc ta ON m.id = ta.mix_id\")\n",
    "subset"
   ],
   "id": "f165e5e3861a0dda",
-   "outputs": [],
+   "outputs": [
-   "execution_count": null
+    {
+     "ename": "ResponseCodeError",
+     "evalue": "Failed to create subset: response code: 200 is not 201 (CREATED): [{\"mix\":\"20230918-N01-XC2-D\",\"date_production\":\"2023-09-18\",\"name\":\"d\",\"k_ac_mm_root_day\":\"1.590000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.750000000000000000\"},{\"mix\":\"20230918-N03-XC1-S\",\"date_production\":\"2023-09-18\",\"name\":\"s\",\"k_ac_mm_root_day\":\"2.070000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.250000000000000000\"},{\"mix\":\"20230919-N03-XC1-D\",\"date_production\":\"2023-09-19\",\"name\":\"d\",\"k_ac_mm_root_day\":\"1.390000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.200000000000000000\"},{\"mix\":\"20230920-N03-XC2-D\",\"date_production\":\"2023-09-20\",\"name\":\"d\",\"k_ac_mm_root_day\":\"1.260000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.300000000000000000\"},{\"mix\":\"20230918-N04-XC1-S\",\"date_production\":\"2023-09-18\",\"name\":\"s\",\"k_ac_mm_root_day\":\"2.090000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.300000000000000000\"},{\"mix\":\"20230919-N06-XC1-S\",\"date_production\":\"2023-09-19\",\"name\":\"s\",\"k_ac_mm_root_day\":\"1.070000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0E-18\"},{\"mix\":\"20230920-N06-XC2-D\",\"date_production\":\"2023-09-20\",\"name\":\"d\",\"k_ac_mm_root_day\":\"0.770000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0E-18\"}]",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mResponseCodeError\u001B[0m                         Traceback (most recent call last)",
+      "Cell \u001B[0;32mIn[5], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m subset \u001B[38;5;241m=\u001B[39m \u001B[43mclient\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcreate_subset\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdatabase_id\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mSELECT m.mix, date_production, b.name, ta.k_ac_mm_root_day, ta.test_procedure, ta.mean_depth_t0_mm FROM mix m JOIN betonvariante b ON b.id = m.betonvariante_id JOIN test_result_carb_acc ta ON m.id = ta.mix_id\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[1;32m      2\u001B[0m subset\n",
+      "File \u001B[0;32m~/Projects/fda-services/.jupyter/venv/lib/python3.11/site-packages/dbrepo/RestClient.py:1590\u001B[0m, in \u001B[0;36mRestClient.create_subset\u001B[0;34m(self, database_id, query, page, size, timestamp)\u001B[0m\n\u001B[1;32m   1588\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m response\u001B[38;5;241m.\u001B[39mstatus_code \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m503\u001B[39m:\n\u001B[1;32m   1589\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m ServiceError(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mFailed to create subset: failed to establish connection with data database\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[0;32m-> 1590\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m ResponseCodeError(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mFailed to create subset: response code: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mresponse\u001B[38;5;241m.\u001B[39mstatus_code\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m is not \u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[1;32m   1591\u001B[0m                         \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m201 (CREATED): \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mresponse\u001B[38;5;241m.\u001B[39mtext\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m'\u001B[39m)\n",
+      "\u001B[0;31mResponseCodeError\u001B[0m: Failed to create subset: response code: 200 is not 201 (CREATED): [{\"mix\":\"20230918-N01-XC2-D\",\"date_production\":\"2023-09-18\",\"name\":\"d\",\"k_ac_mm_root_day\":\"1.590000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.750000000000000000\"},{\"mix\":\"20230918-N03-XC1-S\",\"date_production\":\"2023-09-18\",\"name\":\"s\",\"k_ac_mm_root_day\":\"2.070000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.250000000000000000\"},{\"mix\":\"20230919-N03-XC1-D\",\"date_production\":\"2023-09-19\",\"name\":\"d\",\"k_ac_mm_root_day\":\"1.390000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.200000000000000000\"},{\"mix\":\"20230920-N03-XC2-D\",\"date_production\":\"2023-09-20\",\"name\":\"d\",\"k_ac_mm_root_day\":\"1.260000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.300000000000000000\"},{\"mix\":\"20230918-N04-XC1-S\",\"date_production\":\"2023-09-18\",\"name\":\"s\",\"k_ac_mm_root_day\":\"2.090000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0.300000000000000000\"},{\"mix\":\"20230919-N06-XC1-S\",\"date_production\":\"2023-09-19\",\"name\":\"s\",\"k_ac_mm_root_day\":\"1.070000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0E-18\"},{\"mix\":\"20230920-N06-XC2-D\",\"date_production\":\"2023-09-20\",\"name\":\"d\",\"k_ac_mm_root_day\":\"0.770000000000000000\",\"test_procedure\":\"KB-TVFA\",\"mean_depth_t0_mm\":\"0E-18\"}]"
+     ]
+    }
+   ],
+   "execution_count": 5
  }
 ],
 "metadata": {

 %% Cell type:markdown id:3ca0c15a13bd6882 tags:
 # DBRepo Demo Notebook
 ## Environment
 Set the REST API endpoint and your username + password in the `.env` file. This ensures it is not revealed in the code.
 %% Cell type:code id:4eb6c2470f464173 tags:
 ``` python
 import dotenv
 from pandas.core.interchange.dataframe_protocol import DataFrame
 %load_ext dotenv
 %dotenv
 ```
 %% Cell type:markdown id:2cbd7a83a800b879 tags:
 The code above loads the values from the `.env` file into this Jupyter Notebook. Alternatively you can set all parameters directly in the method:
 ```python
 client = RestClient(endpoint='https://test.dbrepo.tuwien.ac.at', username='foo', password='bar')
 ```
 ## Global Variables & Imports
 Set the database id for convenience.
 %% Cell type:code id:319e797ebb89b17b tags:
 ``` python
 from dbrepo.RestClient import RestClient
 database_id = 37
 client = RestClient()
 ```
 %% Cell type:markdown id:dc1ee2ab9378917 tags:
 ## Tables
 Load data from any table, uncomment where needed.
 %% Cell type:code id:initial_id tags:
 ``` python
-# test_result_chloride_ageing = client.get_table_data(database_id, 615, df=True)
+# test_result_chloride_ageing = client.get_table_data(database_id, 615)
-# test_result_chloride = client.get_table_data(database_id, 614, df=True)
+# test_result_chloride = client.get_table_data(database_id, 614)
-# test_result_carb_nat = client.get_table_data(database_id, 613, df=True)
+# test_result_carb_nat = client.get_table_data(database_id, 613)
-# test_result_carb_acc = client.get_table_data(database_id, 612, df=True)
+# test_result_carb_acc = client.get_table_data(database_id, 612)
-# source_mat_analysis = client.get_table_data(database_id, 611, df=True)
+# source_mat_analysis = client.get_table_data(database_id, 611)
-# source_mat = client.get_table_data(database_id, 610, df=True)
+# source_mat = client.get_table_data(database_id, 610)
-# pruefstelle = client.get_table_data(database_id, 609, df=True)
+# pruefstelle = client.get_table_data(database_id, 609)
-# mix_recipe = client.get_table_data(database_id, 607, df=True)
+# mix_recipe = client.get_table_data(database_id, 607)
-# mix = client.get_table_data(database_id, 606, df=True)
+# mix = client.get_table_data(database_id, 606)
-betonvariante = client.get_table_data(database_id, 604, df=True)
+betonvariante = client.get_table_data(database_id, 604)
 betonvariante
 # optional: export table data as .csv
 # betonvariante.to_csv('betonvariante.csv')
 # optional: update table data from .csv
 # client.import_table_data(database_id, 604, 'my_data.csv')
 # optional: update table data from `pandas` DataFrame
 # df = DataFrame()
 # client.import_table_data(database_id, 604, df)
 ```
+%% Output
+      id name
+    0  1    s
+    1  2    d
+    2  3    p
+    3  4    c
 %% Cell type:markdown id:9098ea798a2ab598 tags:
 ## Views
 Load data from any view, uncomment where needed.
 %% Cell type:code id:ddd433035e632df9 tags:
 ``` python
-beton_acc = client.get_view_data(database_id, 70, df=True)
+beton_acc = client.get_view_data(database_id, 70)
 beton_acc
 # optional: export view data as .csv
 # beton_acc.to_csv('beton_acc.csv')
 ```
+%% Output
+                      mix date_production name      k_ac_mm_root_day  \
+    0  20230918-N01-XC2-D      2023-09-18    d  1.590000000000000000
+    1  20230918-N03-XC1-S      2023-09-18    s  2.070000000000000000
+    2  20230919-N03-XC1-D      2023-09-19    d  1.390000000000000000
+    3  20230920-N03-XC2-D      2023-09-20    d  1.260000000000000000
+    4  20230918-N04-XC1-S      2023-09-18    s  2.090000000000000000
+    5  20230919-N06-XC1-S      2023-09-19    s  1.070000000000000000
+    6  20230920-N06-XC2-D      2023-09-20    d  0.770000000000000000
+      test_procedure      mean_depth_t0_mm
+    0        KB-TVFA  0.750000000000000000
+    1        KB-TVFA  0.250000000000000000
+    2        KB-TVFA  0.200000000000000000
+    3        KB-TVFA  0.300000000000000000
+    4        KB-TVFA  0.300000000000000000
+    5        KB-TVFA                 0E-18
+    6        KB-TVFA                 0E-18
 %% Cell type:markdown id:54b9b1f732219331 tags:
 ## Subsets
 %% Cell type:code id:f165e5e3861a0dda tags:
 ``` python
-subset = client.create_subset(database_id, "SELECT m.mix, date_production, b.name, ta.k_ac_mm_root_day, ta.test_procedure, ta.mean_depth_t0_mm FROM mix m JOIN betonvariante b ON b.id = m.betonvariante_id JOIN test_result_carb_acc ta ON m.id = ta.mix_id", df=True)
+subset = client.create_subset(database_id, "SELECT m.mix, date_production, b.name, ta.k_ac_mm_root_day, ta.test_procedure, ta.mean_depth_t0_mm FROM mix m JOIN betonvariante b ON b.id = m.betonvariante_id JOIN test_result_carb_acc ta ON m.id = ta.mix_id")
 subset
 ```
+%% Output
+    ---------------------------------------------------------------------------
+    ResponseCodeError                         Traceback (most recent call last)
+Cell     In[5], line 1
+    ----> 1 subset = client.create_subset(database_id, "SELECT m.mix, date_production, b.name, ta.k_ac_mm_root_day, ta.test_procedure, ta.mean_depth_t0_mm FROM mix m JOIN betonvariante b ON b.id = m.betonvariante_id JOIN test_result_carb_acc ta ON m.id = ta.mix_id")
+          2 subset
+File     ~/Projects/fda-services/.jupyter/venv/lib/python3.11/site-packages/dbrepo/RestClient.py:1590, in RestClient.create_subset(self, database_id, query, page, size, timestamp)
+       1588 if response.status_code == 503:
+       1589     raise ServiceError(f'Failed to create subset: failed to establish connection with data database')
+    -> 1590 raise ResponseCodeError(f'Failed to create subset: response code: {response.status_code} is not '
+       1591                         f'201 (CREATED): {response.text}')
+    ResponseCodeError: Failed to create subset: response code: 200 is not 201 (CREATED): [{"mix":"20230918-N01-XC2-D","date_production":"2023-09-18","name":"d","k_ac_mm_root_day":"1.590000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0.750000000000000000"},{"mix":"20230918-N03-XC1-S","date_production":"2023-09-18","name":"s","k_ac_mm_root_day":"2.070000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0.250000000000000000"},{"mix":"20230919-N03-XC1-D","date_production":"2023-09-19","name":"d","k_ac_mm_root_day":"1.390000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0.200000000000000000"},{"mix":"20230920-N03-XC2-D","date_production":"2023-09-20","name":"d","k_ac_mm_root_day":"1.260000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0.300000000000000000"},{"mix":"20230918-N04-XC1-S","date_production":"2023-09-18","name":"s","k_ac_mm_root_day":"2.090000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0.300000000000000000"},{"mix":"20230919-N06-XC1-S","date_production":"2023-09-19","name":"s","k_ac_mm_root_day":"1.070000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0E-18"},{"mix":"20230920-N06-XC2-D","date_production":"2023-09-20","name":"d","k_ac_mm_root_day":"0.770000000000000000","test_procedure":"KB-TVFA","mean_depth_t0_mm":"0E-18"}]