diff --git a/notebooks_tsqr/ExposureDetail.ipynb b/notebooks_tsqr/ExposureDetail.ipynb index 9ba2693..2c768eb 100644 --- a/notebooks_tsqr/ExposureDetail.ipynb +++ b/notebooks_tsqr/ExposureDetail.ipynb @@ -2,8 +2,8 @@ "cells": [ { "cell_type": "code", - "execution_count": null, - "id": "0", + "execution_count": 1, + "id": "4f3589c5-2081-4deb-94eb-cdac6a6a1212", "metadata": {}, "outputs": [], "source": [ @@ -27,25 +27,41 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "1", + "execution_count": 2, + "id": "e7da1f60-7f47-4c28-8bc0-d83ade57ab4b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'day_obs': '2024-09-25',\n", + " 'number_of_days': '1',\n", + " 'instrument': 'LATISS',\n", + " 'observation_reason': None,\n", + " 'observation_type': None,\n", + " 'science_program': None}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import os\n", "import datetime as dt\n", "import pandas as pd\n", + "from IPython.display import HTML, display\n", "\n", "# When running under Times Square, install pkg from github.\n", "# Otherwise use what is installed locally (intended to be dev editiable pkg)\n", "if os.environ.get(\"EXTERNAL_INSTANCE_URL\"):\n", " dev_msg = (\n", " 'Installing \"lsst.ts.logging_and_reporting\" from github using \"prototype\" branch. \\n'\n", - " \"TODO: Make the need for this go away by getting Logging_and_Reporting installed in RSP.\"\n", + " 'TODO: Make the need for this go away by getting Logging_and_Reporting installed in RSP.'\n", " )\n", " !pip install --upgrade git+https://github.com/lsst-ts/ts_logging_and_reporting.git@prototype > /dev/null 2>&1\n", "else:\n", - " dev_msg = \"Imported lsst.ts.logging_and_reporting from local packages.\"\n", + " dev_msg = 'Imported lsst.ts.logging_and_reporting from local packages.'\n", "import lsst.ts.logging_and_reporting.source_adapters as sad\n", "import lsst.ts.logging_and_reporting.utils as ut\n", "from lsst.ts.logging_and_reporting.reports import md\n", @@ -59,9 +75,9 @@ ") # TODO try with \"usdf\" before push (else \"summit\")\n", "\n", "# Normalize Parameters (both explicit Times Squares params and implicit ones)\n", - "observation_reason = None if observation_reason == \"ALL\" else observation_reason\n", - "observation_type = None if observation_type == \"ALL\" else observation_type\n", - "science_program = None if science_program == \"ALL\" else science_program\n", + "observation_reason = None if observation_reason=='ALL' else observation_reason\n", + "observation_type = None if observation_type=='ALL' else observation_type\n", + "science_program = None if science_program=='ALL' else science_program\n", "params = dict(\n", " day_obs=day_obs,\n", " number_of_days=number_of_days,\n", @@ -70,13 +86,13 @@ " observation_type=observation_type,\n", " science_program=science_program,\n", ")\n", - "display(params)" + "display(params) " ] }, { "cell_type": "code", - "execution_count": null, - "id": "2", + "execution_count": 3, + "id": "39ebaf06-bbcd-47a3-b72e-3e1925995c43", "metadata": {}, "outputs": [], "source": [ @@ -95,8 +111,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "3", + "execution_count": 4, + "id": "a78b6f36-12a3-4f76-806a-ee0805c89318", "metadata": {}, "outputs": [], "source": [ @@ -110,24 +126,2583 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "4", + "execution_count": 5, + "id": "01206be5-db25-4a34-9ed4-8189bf54042b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "The number of exposures in this filtered result is 252" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + 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obs idtimespan beginseq numobservation typeobservation reasonscience programexposure time
0AT_O_20240925_0000012024-09-25T13:31:07.4040201biasbiasunknown0.0
1AT_O_20240925_0000022024-09-25T13:31:13.8350052engtestengtestBLOCK-T170.0
2AT_O_20240925_0000032024-09-25T13:42:17.5360123engtestengtestunknown0.0
3AT_O_20240925_0000042024-09-25T13:45:32.7199864engtestengtestunknown0.0
4AT_O_20240925_0000052024-09-25T18:06:13.1599965biasbiasunknown0.0
5AT_O_20240925_0000062024-09-25T18:07:41.2209956engtestengtestunknown0.0
6AT_O_20240925_0000072024-09-25T18:18:55.1830207biasbiasunknown0.0
7AT_O_20240925_0000082024-09-25T18:21:08.0360118biasbiasunknown0.0
8AT_O_20240925_0000092024-09-25T18:21:14.7569969engtestengtestBLOCK-T170.0
9AT_O_20240925_0000102024-09-25T19:10:39.56698610engtestengtestunknown0.0
10AT_O_20240925_0000112024-09-25T19:13:56.73900111engtestengtestunknown0.0
11AT_O_20240925_0000122024-09-25T23:36:02.47498712acqacquisitionunknown0.0
12AT_O_20240925_0000132024-09-25T23:36:27.87400413acqacquisitionunknown0.0
13AT_O_20240925_0000142024-09-25T23:36:57.97699914cwfsintraBLOCK-3050.0
14AT_O_20240925_0000152024-09-25T23:37:35.52799315cwfsextraBLOCK-3050.0
15AT_O_20240925_0000162024-09-25T23:38:42.91998316cwfsintraBLOCK-3050.0
16AT_O_20240925_0000172024-09-25T23:39:20.40298217cwfsextraBLOCK-3050.0
17AT_O_20240925_0000182024-09-25T23:40:23.78199818acqfinal_infocusBLOCK-3050.0
18AT_O_20240925_0000192024-09-25T23:43:10.61899319acqacqspec-survey0.0
19AT_O_20240925_0000202024-09-25T23:43:47.31398620acqacqspec-survey0.0
20AT_O_20240925_0000212024-09-25T23:44:16.08401721scienceobjectspec-survey0.0
21AT_O_20240925_0000222024-09-25T23:45:29.06901722scienceobjectspec-survey0.0
22AT_O_20240925_0000232024-09-25T23:46:51.60998923sciencex_offset_0spec-survey0.0
23AT_O_20240925_0000242024-09-25T23:48:15.02301524sciencex_offset_-50spec-survey0.0
24AT_O_20240925_0000252024-09-25T23:49:42.34098925sciencex_offset_50spec-survey0.0
25AT_O_20240925_0000262024-09-25T23:52:14.27301526acqacqspec-survey0.0
26AT_O_20240925_0000272024-09-25T23:52:44.96498327acqacqspec-survey0.0
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" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "df = src_exp.exposure_detail(\n", - " instrument=instrument,\n", - " science_program=science_program,\n", - " observation_reason=observation_reason,\n", - " observation_type=observation_type,\n", - ")\n", - "md(f\"The number of exposures in this filtered result is {len(df.index)}\")\n", - "df.to_html()" + "df = src_exp.exposure_detail(instrument=instrument,\n", + " science_program=science_program,\n", + " observation_reason=observation_reason,\n", + " observation_type=observation_type\n", + " )\n", + "md(f'The number of exposures in this filtered result is {len(df.index)}')\n", + "display(HTML(df.to_html()))" ] }, { "cell_type": "markdown", - "id": "5", + "id": "17b65985-1bd5-4ebd-bd5a-572292fce71f", "metadata": {}, "source": [ "-----------------" @@ -135,7 +2710,7 @@ }, { "cell_type": "markdown", - "id": "6", + "id": "68b4c365-3ab1-4cd4-9091-320d9e5e4951", "metadata": {}, "source": [ "# Developer Only Section" @@ -143,29 +2718,46 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "7", + "execution_count": 6, + "id": "a1c0ef70-ac12-401e-8ca9-cdcdae52cc13", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "https://summit-lsp.lsst.codes: 2024-09-25 to 2024-09-26 [5000] exposurelog endpoints=['instruments', 'exposures', 'messages']\n", + "instrument='LATISS', science_program=None, observation_reason=None, observation_type=None\n" + ] + } + ], "source": [ "print(src_exp)\n", - "print(f\"{instrument=}, {science_program=}, {observation_reason=}, {observation_type=}\")" + "print(f'{instrument=}, {science_program=}, {observation_reason=}, {observation_type=}')" ] }, { "cell_type": "code", - "execution_count": null, - "id": "8", + "execution_count": 7, + "id": "0108873d-5a10-47f5-9f32-f7d5479c1b73", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'LSSTComCamSim': 0, 'LSSTComCam': 0, 'LATISS': 252}\n" + ] + } + ], "source": [ - "print({k: len(v) for k, v in src_exp.exposures.items()})" + "print({k: len(v) for k,v in src_exp.exposures.items()})" ] }, { "cell_type": "code", "execution_count": null, - "id": "9", + "id": "43897952-6ebd-4267-ad06-21f1da56e5ed", "metadata": {}, "outputs": [], "source": []