Update NB to fix error extracting metric docstrings

lsst-sitcom · Jan 31, 2025 · a67618d · a67618d
1 parent 2d475e1
commit a67618d
Showing 1 changed file with 25 additions and 17 deletions.
diff --git a/notebooks/atools_metrics_plots_census.ipynb b/notebooks/atools_metrics_plots_census.ipynb
@@ -186,7 +186,7 @@
     "\n",
     "        for r in res:\n",
     "            # Process the string to extract the bundle name, module, and task:\n",
-    "            full_string = atools_pipeline_config[r: r+150]\n",
+    "            full_string = atools_pipeline_config[r: r+200]\n",
     "            split0 = str.split(full_string, 'config.atools.')\n",
     "            bundle_name = str.split(split0[1], '=')[0]\n",
     "            split1 = str.split(split0[1], sub_str)\n",
@@ -209,7 +209,7 @@
     "\n",
     "            # Link to w_2025_02 version of the docs on github:\n",
     "            mod_new = module.replace('.', '/')\n",
-    "            path = 'https://github.com/lsst/analysis_tools/blob/w.2025.02/python/'+mod_new+'.py'\n",
+    "            path = 'https://github.com/lsst/analysis_tools/blob/w.2025.04/python/'+mod_new+'.py'\n",
     "            info = {'docstring': doc2, 'path': path}\n",
     "            docstring_dict[bundle_name] = info\n",
     "\n",
@@ -297,9 +297,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "repo = '/repo/embargo'\n",
+    "repo = '/repo/main'\n",
     "\n",
-    "collections = ['LSSTComCam/runs/DRP/DP1-RC1/w_2025_02/DM-48371']\n",
+    "collections = ['LSSTComCam/runs/DRP/DP1/w_2025_04/DM-48556']\n",
     "\n",
     "butler = Butler(repo, collections=collections)\n",
     "registry = butler.registry"
@@ -379,17 +379,17 @@
     "    'sourceTable_visit_gaia_dr3_20230707_match',\n",
     "]\n",
     "pipelines_url = [\n",
-    "    'https://github.com/lsst/drp_pipe/blob/w.2025.02/pipelines/LSSTComCamSim/nightly-validation-ops-rehearsal-3.yaml#L18-L26',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/diaTractQualityCore.yaml',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/matchedVisitQualityCore.yaml',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/coaddColumnValidate.yaml',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/coaddQualityCore.yaml',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/coaddQualityCore.yaml',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/coaddQualityCore.yaml',\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/coaddQualityExtended.yaml',\n",
-    "    'https://github.com/lsst/drp_pipe/blob/w.2025.02/pipelines/_ingredients/LSSTComCamSim/DRP.yaml#L68-L78',\n",
+    "    'https://github.com/lsst/drp_pipe/blob/w.2025.04/pipelines/LSSTComCamSim/nightly-validation-ops-rehearsal-3.yaml#L18-L26',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/diaTractQualityCore.yaml',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/matchedVisitQualityCore.yaml',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/coaddColumnValidate.yaml',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/coaddQualityCore.yaml',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/coaddQualityCore.yaml',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/coaddQualityCore.yaml',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/coaddQualityExtended.yaml',\n",
+    "    'https://github.com/lsst/drp_pipe/blob/w.2025.04/pipelines/_ingredients/LSSTComCamSim/DRP.yaml#L68-L78',\n",
     "    # TO DO: put in real links here\n",
-    "    'https://github.com/lsst/analysis_tools/blob/w.2025.02/pipelines/coaddQualityCore.yaml#L90-L123',\n",
+    "    'https://github.com/lsst/analysis_tools/blob/w.2025.04/pipelines/coaddQualityCore.yaml#L90-L123',\n",
     "    'NA'\n",
     "]\n",
     "task_frame = pd.DataFrame({'name': task_names,\n",
@@ -434,9 +434,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "e186e24e-a5d7-4853-8ba3-e554dc8df1ce",
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "for task in task_frame.name:\n",
@@ -720,6 +718,16 @@
     "create_plot_references(task_frame, task_table_dict)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0194a0b-c627-4391-9a50-1db566db3937",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "task_frame"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,