Clean up notebooks

notebooks/demo_acsm_pipeline.ipynb

@@ -31,8 +31,8 @@
     "for item in sys.path:\n",
     "    print(item)\n",
     "\n",
-    "CAMPAIGN_DATA_FILE = \"../data/collection_JFJ_2024_2025-03-17_2025-02-17.h5\"\n",
-    "APPEND_DATA_DIR = \"../data/collection_JFJ_2024_2025-03-17_2025-02-17\""
+    "CAMPAIGN_DATA_FILE = \"../data/collection_JFJ_2024_2025-03-14_2025-03-14.h5\"\n",
+    "APPEND_DATA_DIR = \"../data/collection_JFJ_2024_2025-03-14_2025-03-14\""
    ]
   },
   {
@@ -79,6 +79,11 @@
     "run_generate_flags(path_to_data_file, 'diagnostics')\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -95,6 +100,27 @@
     "run_generate_flags(path_to_data_file, 'species')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pipelines.steps.prepare_ebas_submission import main as run_prepare_ebas_submission \n",
+    "\n",
+    "PATH1=\"../data/collection_JFJ_2024_2025-03-14_2025-03-14/ACSM_TOFWARE_processed/2024/ACSM_JFJ_2024_timeseries_calibrated.csv\"\n",
+    "PATH2=\"../data/collection_JFJ_2024_2025-03-14_2025-03-14/ACSM_TOFWARE_processed/2024/ACSM_JFJ_2024_timeseries_calibrated_err.csv\"\n",
+    "PATH3=\"../data/collection_JFJ_2024_2025-03-14_2025-03-14/ACSM_TOFWARE_processed/2024/ACSM_JFJ_2024_timeseries_calibration_factors.csv\"\n",
+    "PATH4=\"../data/collection_JFJ_2024_2025-03-14_2025-03-14/ACSM_TOFWARE_flags/2024/ACSM_JFJ_2024_timeseries_flags.csv\"\n",
+    "month = 4\n",
+    "run_prepare_ebas_submission([PATH1,PATH2,PATH3], PATH4, month)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,