Prototype into Develop 9/19

notebooks_tsqr/NightLog.yaml

@@ -11,19 +11,19 @@ tags:
   - prototype
   - exposure
 parameters:
-  record_limit:
-    type: integer
-    description: Max number of records to output
-    default: 99
-    minimum: 1
-    maximum: 9999
   day_obs:
     type: string
-    description: The night to report on. (YYYY-MM-DD, TODAY, YESTERDAY)
+    description: >
+      The night to report on. (Allowed: YYYY-MM-DD, TODAY, YESTERDAY)
+      The report will include days upto, but not including, day_obs.
+      For a value of TODAY, the last observing night that will be
+      included in the report will be the one that started yesterday.
+      This is usually what you want.
     default: "TODAY"
   number_of_days:
     type: integer
-    description: Number of days to show (ending in day_obs)
+    description: >
+      Number of days to show in the report.
     default: 1
     minimum: 1
     maximum: 9

notebooks_tsqr/README.md

@@ -1,5 +1,58 @@
-Times Square notebooks for (potential) use in project-wide Logging & Reporting
+# Logging & Reporting Times Square Notebooks
 
-See [offical
-documentation](https://rsp.lsst.io/v/usdfdev/guides/times-square/index.html)
-on creating notebooks for use by Times Square.
+Notebooks found here `./notebooks/` are meant to be run in Times Square towards use in project-wide Nightly Logging & Reporting
+Times-Square: <https://usdf-rsp-dev.slac.stanford.edu/times-square>
+
+See [official Times-Square documentation](https://rsp.lsst.io/v/usdfdev/guides/times-square/index.html) on creating notebooks for use by Times Square.
+
+## Development Guidelines
+
+Rapid Prototyping is enabled with the branch `prototype`  
+Times-Square for this repository displays the `prototype` branch.
+
+- Create a branch for your Jira Ticket in the format `tickets/dm-####` off of `prototype`
+- Communicate often with team mate when you want to push changes to `prototype`
+- Rebase your branch off `prototype` before merging your branch into `prototype`
+
+Example of flow:
+
+1. `git checkout prototype; git pull`
+2. `git checkout -b tickets/dm-23456`
+3. `git commit -m "work happened"; git push`
+4. `git checkout prototype; git pull`
+5. `git checkout tickets/dm-23456`
+6. `git rebase prototype`
+7. `git checkout prototype; git merge tickets/dm-23456; git push`
+
+&nbsp;
+
+Once Per Sprint (2 week), the developers on this repository (Steve Pothier & Valerie Becker) gather to discuss updates made to `prototype`, outstanding pull requests, and tickets that have been completed.  
+
+Once they are in agreement, they merge `prototype` into the `develop` branch and close the related Jira Tickets. Squash commit should be used here with a descriptive title and description in the PR.
+
+
+## NightLog.ipynb
+
+NightLog.ipynb is our main Logging And Reporting notebook. This notebook is meant to display completed* views of logging information.
+Each separate notebook should be used to mature a logging/reporting product, and then expect to be integrated into this 'main' notebook.
+
+\*_Completed to an alpha\beta level -- quick improvements will continue to happen during Fall-Winter 2024_
+
+## Dashboard
+
+Dashboard.ipynb is intended for local development purposes and debugging. Run this notebook not from RSP to evaluate your connection to an array of data sources.  
+_RSP is not intended to have access to all of the data sources queried here._
+
+## Kernel
+
+Times Square developers/maintainers have indicated that the LSST Kernel should be used in notebooks displayed there.  
+[RSP Stack info](https://developer.lsst.io/stack/conda.html#rubin-science-platform-notebooks)
+
+## Backend Code
+
+We are working our way into a non-Times-Square dependent project. Towards that effort, we are incrementally abstracting common code out of the notebooks. This code is kept in `./python/lsst/ts/logging_and_reporting/`
+
+`almanac.py` ...
+`reports.py` ...
+`source_adapters.py` ....
+`utils.py` is used for ...

notebooks_tsqr/consdb/access_consdb.ipynb

@@ -30,23 +30,22 @@
    "source": [
     "import os\n",
     "from lsst.summit.utils import ConsDbClient\n",
-    "from lsst.summit.utils.utils import computeCcdExposureId\n",
-    "import sqlalchemy\n",
     "import requests\n",
     "import pandas as pd\n",
     "from IPython.display import display, Markdown, display_markdown\n",
     "\n",
-    "\n",
-    "URL = \"https://usdf-rsp.slac.stanford.edu/consdb/\" # Need to add that part about the headers to client flow through\n",
+    "# URL = \"https://usdf-rsp.slac.stanford.edu/consdb/\"\n",
+    "# Need to add that part about the headers to client flow through\n",
     "URL = \"http://consdb-pq.consdb:8080/consdb\" # Don't use this one\n",
     "\n",
     "os.environ[\"no_proxy\"] += \",.consdb\"\n",
     "\n",
     "access_token = os.getenv(\"ACCESS_TOKEN\")\n",
     "headers = {\"Authorization\": f\"Bearer {access_token}\"}\n",
     "\n",
-    "sesh = requests.Session()\n",
-    "sesh.headers.update(headers)\n",
+    "# This is how the session object should access the ACCESS Token from the headers\n",
+    "#sesh = requests.Session()\n",
+    "#sesh.headers.update(headers)\n",
     "\n",
     "%matplotlib inline"
    ]
@@ -58,17 +57,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "display_markdown('## Attempting to access Consolidated Database', raw=True)\n",
-    "\n",
-    "try:\n",
-    "    from lsst.summit.utils import ConsDbClient\n",
-    "    have_consdb = True\n",
-    "except ImportError:\n",
-    "    have_consdb = False\n",
-    "\n",
-    "if have_consdb:\n",
-    "    client = ConsDbClient(URL)\n",
-    "    display_markdown('## Consolidated Database is accessible',raw=True)\n"
+    "from lsst.summit.utils import ConsDbClient\n",
+    "client = ConsDbClient(URL)\n",
+    "print(client)\n",
+    "#import sqlalchemy\n",
+    "#connection = sqlalchemy.create_engine('postgresql://[email protected]/exposurelog')\n",
+    "#print(connection)\n",
+    "display_markdown('### Consolidated Database is accessible',raw=True)"
    ]
   },
   {
@@ -87,7 +82,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Add consdb\n",
     "day_obs_int = int(day_obs.replace('-', ''))\n",
     "\n",
     "visit_query1 = f'''\n",
@@ -114,31 +108,33 @@
     "     WHERE v.day_obs = {day_obs_int} and q.visit_id = v.visit_id\n",
     "'''\n",
     "\n",
-    "if have_consdb:\n",
-    "    # Potentially print some schema information for debugging\n",
-    "    \n",
+    "# Potentially print some schema information for debugging\n",
+    "try:\n",
     "    print(client.schema())  # list the instruments\n",
     "    print(client.schema('latiss'))  # list tables for an instrument\n",
     "    print(client.schema('latiss', 'cdb_latiss.exposure_flexdata')) # specifically flexdata table\n",
     "    \n",
-    "    try:\n",
-    "        visits_latiss = consdb.query(visit_query1).to_pandas()\n",
-    "        visits_lsstcc = consdb.query(visit_query2).to_pandas()\n",
-    "        visits_lsstccs = consdb.query(visit_query3).to_pandas()\n",
+    "except requests.HTTPError or requests.JSONDecodeError:\n",
+    "    print(client.schema())  # list the instruments\n",
+    "    print(client.schema('latiss'))  # list tables for an instrument\n",
+    "    print(client.schema('latiss', 'cdb_latiss.exposure_flexdata'))\n",
+    "\n",
+    "try:\n",
+    "    visits_latiss = client.query(visit_query1).to_pandas()\n",
+    "    visits_lsstcc = client.query(visit_query2).to_pandas()\n",
+    "    visits_lsstccs = client.query(visit_query3).to_pandas()\n",
     "\n",
-    "    except requests.HTTPError or requests.JSONDecodeError:\n",
-    "        # Try twice\n",
-    "        visits_latiss = consdb.query(visit_query1).to_pandas()\n",
-    "        visits_lsstcc = consdb.query(visit_query2).to_pandas()\n",
-    "        visits_lsstccs = consdb.query(visit_query3).to_pandas()\n",
+    "except requests.HTTPError or requests.JSONDecodeError:\n",
+    "    # Try twice\n",
+    "    visits_latiss = client.query(visit_query1).to_pandas()\n",
+    "    visits_lsstcc = client.query(visit_query2).to_pandas()\n",
+    "    visits_lsstccs = client.query(visit_query3).to_pandas()\n",
     "\n",
-    "    quicklook = consdb.query(quicklook_query).to_pandas()\n",
+    "quicklook = client.query(quicklook_query).to_pandas()\n",
     "\n",
-    "else:\n",
-    "    # Assumes at the USDF\n",
-    "    connection = sqlalchemy.create_engine('postgresql://[email protected]/exposurelog')\n",
-    "    visits_latiss = pd.read_sql(visit_query1, connection)\n",
-    "    quicklook = pd.read_sql(quicklook_query, connection)\n",
+    "# Assumes at the USDF\n",
+    "#visits_latiss_try = pd.read_sql(visit_query1, connection)\n",
+    "#quicklook_try = pd.read_sql(quicklook_query, connection)\n",
     "\n",
     "if len(visits_latiss) > 0:\n",
     "    print(f\"Retrieved {len(visits_latiss)} visits from consdb\")\n",
@@ -256,14 +252,17 @@
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "id": "15",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "# Access DDV\n",
-    "Summit = https://summit-lsp.lsst.codes/rubintv-dev/ddv/index.html \n",
-    "\n",
-    "USDF = https://usdf-rsp-dev.slac.stanford.edu/rubintv/ddv/index.html"
+    "usdf = 'https://usdf-rsp-dev.slac.stanford.edu'\n",
+    "service_loc = os.environ.get('EXTERNAL_INSTANCE_URL', usdf)\n",
+    "DDV = f\"{service_loc}/rubintv-dev/ddv/index.html\"\n",
+    "display_markdown('## Access DDV part of RubinTV', raw=True)\n",
+    "DDV"
    ]
   },
   {

notebooks_tsqr/consdb/assorted_plots.ipynb

@@ -0,0 +1,158 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Parameters\n",
+    "day_obs = '2024-06-26'\n",
+    "instruments = 'latiss, lsstcomcamsim, lsstcomcam'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "from IPython.display import display_markdown"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### 'Get Consdb access'\n",
+    "from lsst.summit.utils import ConsDbClient\n",
+    "\n",
+    "URL = \"http://consdb-pq.consdb:8080/consdb\" # Don't use this one\n",
+    "os.environ[\"no_proxy\"] += \",.consdb\"\n",
+    "\n",
+    "client = ConsDbClient(URL)\n",
+    "display_markdown('### Consolidated Database is accessible',raw=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline  # After all imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Put Plot in backend\n",
+    "plt.style.use('seaborn-v0_8-bright')\n",
+    "def plot(y, x):\n",
+    "    # plot\n",
+    "    fig = plt.figure(figsize=(6, 6))\n",
+    "    ax = fig.subplots()\n",
+    "    ax.scatter(x, y)\n",
+    "\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "day_obs_int = int(day_obs.replace('-', ''))\n",
+    "instrument_list = [ins.strip() for ins in instruments.split(',')]\n",
+    "\n",
+    "for instrument in instrument_list:\n",
+    "    print(\"------------------------------------------------------------\")\n",
+    "    print()\n",
+    "    display_markdown(f'# Instrument: {instrument}',raw=True)\n",
+    "    #################### Put in Backend\n",
+    "    ccdvisit1_quicklook = f'''\n",
+    "        SELECT * FROM cdb_{instrument}.ccdvisit1_quicklook\n",
+    "    '''\n",
+    "\n",
+    "    visit1 = f'''\n",
+    "        SELECT * FROM cdb_{instrument}.visit1\n",
+    "    '''\n",
+    "\n",
+    "    # Join Visit1 and ccdVisit1 to access data and day obs\n",
+    "    visits = client.query(visit1).to_pandas()\n",
+    "    quicklook = client.query(ccdvisit1_quicklook).to_pandas()\n",
+    "\n",
+    "    visits = visits.join(quicklook, on='visit_id',lsuffix='',rsuffix='_q')\n",
+    "    #################### Put in Backend - end\n",
+    "\n",
+    "    # If we see data exist in psf, zero, then we should pare down like visits_today below\n",
+    "    try:\n",
+    "        visits_w_psf = visits[visits['psf_area'].notna()]\n",
+    "        time = visits_w_psf['obs_start']\n",
+    "        display_markdown(f'Number of visits with psf_area populated {len(visits_w_psf)}', raw=True)\n",
+    "        display_markdown('## psf_area vs obs_start', raw=True)\n",
+    "        plot(time, visits_w_psf['psf_area'])\n",
+    "    except KeyError as err:\n",
+    "        display_markdown(f\"Psf_area not a column in {instrument} dataframe\",raw=True)\n",
+    "        display_markdown(f\"key error for {err}\", raw=True)\n",
+    "\n",
+    "    try:\n",
+    "        visits_w_zero = visits[visits['zero_point'].notna()]\n",
+    "        time = visits_w_zero['obs_start']\n",
+    "        display_markdown(f'Number of visits with zero_point populated {len(visits_w_zero)}', raw=True)\n",
+    "        display_markdown('## zero_point vs obs_start', raw=True)\n",
+    "        plot(time, visits_w_zero['zero_point'])\n",
+    "    except KeyError as err:\n",
+    "        display_markdown(f\"Zero_point not a column in {instrument} dataframe\", raw=True)\n",
+    "        display_markdown(f\"key error for {err}\", raw=True)\n",
+    "\n",
+    "    # Pare down to only day obs\n",
+    "    visits_today = visits[(visits['day_obs'] == day_obs_int)]\n",
+    "    display_markdown(f\"How many visits today? {len(visits_today)}\", raw=True)\n",
+    "\n",
+    "    ra = visits_today['s_ra']\n",
+    "    dec = visits_today['s_dec']\n",
+    "    display_markdown(f\"How many ra? {len(ra)}\", raw=True)\n",
+    "    display_markdown(f\"How many dec? {len(dec)}\", raw=True)\n",
+    "\n",
+    "    display_markdown(f'Ra Dec should be populated for {instrument}', raw=True)\n",
+    "    plot(ra, dec)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "LSST",
+   "language": "python",
+   "name": "lsst"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}