Merge pull request #128 from implydata/revert-123-test-gha

Revert "Add github action for testing notebooks"

.gitignore

@@ -2,4 +2,3 @@
 .ipynb_checkpoints
 .ipynb_checkpoints/*
 .DS_Store
-output.ipynb

notebooks/02-ingestion/02-batch-ingestion.ipynb

@@ -588,7 +588,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "druid.datasources.drop(\"example-kttm-transform-batch\", True)"
+    "druid.datasources.drop(table_name, True)"
    ]
   },
   {
@@ -626,7 +626,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,

notebooks/02-ingestion/12-spatial-dimensions.ipynb

@@ -73,7 +73,6 @@
    "source": [
     "import druidapi\n",
     "import os\n",
-    "import json\n",
     "\n",
     "if 'DRUID_HOST' not in os.environ.keys():\n",
     "    druid_host=f\"http://localhost:8888\"\n",
@@ -236,6 +235,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import json\n",
+    "\n",
     "spatial_index_spec = {\n",
     "  \"type\": \"index_parallel\",\n",
     "  \"spec\": {\n",
@@ -364,10 +365,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import time\n",
-    "\n",
-    "time.sleep(100) # Give previous cell some time to complete\n",
-    "\n",
     "rectangular_filter_query = {\n",
     "  \"queryType\": \"topN\",\n",
     "  \"dataSource\": {\n",

notebooks/02-ingestion/13-native-transforms.ipynb

@@ -767,9 +767,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import time\n",
-    "time.sleep(100) # Give previous cell some time to complete\n",
-    "\n",
     "time_now = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')\n",
     "\n",
     "sql=f'''\n",

notebooks/03-query/07-functions-datetime.ipynb

@@ -148,8 +148,7 @@
    "source": [
     "import matplotlib\n",
     "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "import time"
+    "import pandas as pd"
    ]
   },
   {
@@ -437,8 +436,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "time.sleep(100) # Give previous cell some time to complete\n",
-    "\n",
     "sql='''\n",
     "SELECT\n",
     "  __time AS \"start\",\n",
@@ -449,7 +446,7 @@
     "LIMIT 10\n",
     "'''\n",
     "\n",
-    "display.sql(sql) "
+    "display.sql(sql)"
    ]
   },
   {

notebooks/03-query/08-functions-strings.ipynb

@@ -151,8 +151,7 @@
    "source": [
     "import matplotlib\n",
     "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "import time"
+    "import pandas as pd"
    ]
   },
   {
@@ -550,8 +549,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "time.sleep(100) # Give previous cell some time to complete\n",
-    "\n",
     "sql='''\n",
     "SELECT\n",
     "  TRIM(LEADING 'X' FROM \"XXXXXcountryXXXXX\") AS \"leadingTrim\",\n",
@@ -747,7 +744,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,

notebooks/03-query/19-groupby-earliest.ipynb

@@ -141,10 +141,9 @@
     "  \"country\",\n",
     "  \"loaded_image\",\n",
     "  \"os\",\n",
-    "  \"session_length\",\n",
     "  LATEST_BY(\"session_length\",TIME_PARSE(\"timestamp\")) \"latest_session_length\"\n",
     "FROM \"ext\"\n",
-    "GROUP BY 1,2,3,4,5,6,7,8\n",
+    "GROUP BY 1,2,3,4,5,6,7\n",
     "PARTITIONED BY DAY\n",
     "'''\n",
     "\n",