From ab899202badab6bde40496f1b8f05b3164df88f6 Mon Sep 17 00:00:00 2001 From: micah johnson Date: Tue, 30 Jul 2024 13:46:32 -0600 Subject: [PATCH] First pass at introduction --- .../1_getting_started_example.ipynb | 602 +++++++++++++----- .../snowex_database/images/data_examples.png | Bin 0 -> 412370 bytes .../snowex_database/images/pits_not_bits.jpg | Bin 0 -> 887062 bytes 3 files changed, 441 insertions(+), 161 deletions(-) create mode 100644 book/tutorials/snowex_database/images/data_examples.png create mode 100644 book/tutorials/snowex_database/images/pits_not_bits.jpg diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb index 4f57c0c..2f1e4cb 100644 --- a/book/tutorials/snowex_database/1_getting_started_example.ipynb +++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb @@ -4,46 +4,30 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Introduction to the SnowEx Database " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "## What we're gonna attempt to cover\n", - "* Introduction \n", - "* Database Structure/ Contents \n", - "* Forming Useful Queries \n", - "* Examples \n", - "* Exporting Data \n", - "* QGIS setup \n", + "# SnowEx Database Introduction\n", "\n", - "## Why a database?\n", - "> *\"Dude, I am into pits not bits. What gives?!\"*\n", + "SnowEx has introduced a a unique opportunity to study SWE in a way thats unprecendented, but with more data comes new challenges. \n", "\n", - "- Standardizing diverse datasets\n", - "- Cross referencing data\n", - "- Enables GIS functionality\n", - "- Ready for use in your code\n", - "- Provenance!\n", - "- Ready for use in a GIS software like ArcGIS or QGIS!\n", "\n", - "### TL;DR Do less wrangling, do more crunching. \n", + "\"Grand\n", "\n", + "**The SnowEx database is a resource that shortcuts the time it takes to ask cross dataset questions**\n", "\n", - "## What is it exactly?\n", + " \n", + "- Standardizing diverse data\n", + "- Cross referencing data\n", + "- Provenance!\n", + "- Added GIS functionality\n", + "- Connect w/ ArcGIS or QGIS!\n", + "- **CITABLE** \n", "\n", - "* PostgreSQL database\n", - "* PostGIS extension\n", - "* Supports vector and raster data\n", - "* And a host of GIS operations\n", + " * *2022- Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)*\n", + " * *2024 - Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign* \n", + " \n", + " \n", "\n", "## What's in it?\n", "\n", - "**note:**`Data extent is limited to Grand Mesa and in EPSG:26912 for Hackweek!`\n", - "\n", "* Snow pits - Density, hardness profiles, grain types + sizes\n", "* Manual snow depths - TONS of depths, Can you say spirals?\n", "* Snow Micropenetrometer profiles - (Subsampled to every 100th)\n", @@ -54,161 +38,457 @@ "* Snow off DEM from USGS 3DEP \n", "* And almost all the associated metadata\n", "\n", - "**All this and more is easily indexed, cross referencable, and put into GIS ready formats!**\n", + "\"snowex\n", "\n", - "![](https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png)\n", + "## Technically, what is it?\n", "\n", + "* PostgreSQL database\n", + "* PostGIS extension\n", + "* Supports vector and raster data\n", + "* And a host of GIS operations\n", + "* AND NOW WITH API!\n", "\n", - "## How do I get at this magical box of data?\n", "\n", - "* [SQL](https://www.postgresql.org/docs/13/tutorial-sql.html) \n", - "* [snowexsql](https://github.com/SnowEx/snowexsql/) **←**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Import the connection function from the snowexsql library\n", - "from snowexsql.db import get_db\n", + "### So whats the catch?\n", + "\n", "\n", - "# This is what you will use for all of hackweek to access the db\n", - "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n", "\n", - "# Using the function get_db, we receive 2 ways to interact with the database\n", - "engine, session = get_db(db_name)\n" + "### TL;DR Do less wrangling, do more crunching. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### 1. Using the Engine Object\n", - "The `engine` object returned from the `get_db` function is not used much in the snowexsql library. It does allow you to use typical SQL \n", - "strings to interact with the database. \n", - "\n", - "**Note**: Users who have used python + SQL before will likely be more familiar with this approach. Additionally those who don't know python but know SQL will also be more comfortable here.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Form a typical SQL query and use python to populate the table name\n", - "qry = \"SELECT DISTINCT site_id FROM sites\"\n", - "\n", - "# Then we execute the sql command and collect the results\n", - "results = engine.execute(qry)\n", + "## How do I get at this magical box of data ?\n", + "* [SQL](https://www.postgresql.org/docs/13/tutorial-sql.html) \n", + "* [snowexsql](https://github.com/SnowEx/snowexsql/) **← 😎**\n", "\n", - "# Create a nice readable string to print the site names using python \n", - "out = ', '.join((row['site_id'] for row in results))\n", "\n", - "# Print it with a line return for readability\n", - "print(out + '\\n')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2. Using the Session Object\n", - "The session object allows a user to interact with the database in a pure python form. This approach is called Object Relational Mapping (ORM)." + "### Welcome to API Land" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Import the table classes from our data module which is where our ORM classes are defined \n", - "from snowexsql.data import SiteData\n", - "\n", - "# Form the query to receive all the site_id from the sites table\n", - "qry = session.query(SiteData.site_id).distinct()\n", - "\n", - "# Execute the query and collect the results\n", - "results = qry.all()\n", - "\n", - "# Print it with a line return for readability\n", - "print(', '.join([row[0] for row in list(results)]))\n", - "\n", - "# Close your session to avoid hanging transactions\n", - "session.close()" - ] - }, - { - "cell_type": "markdown", + "execution_count": 16, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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version_numberequipmentvaluelatitudelongitudenorthingeastingelevationutm_zonegeom...datetime_createdtime_updatediddoidate_accessedinstrumenttypeunitsobservers
01CRREL_B109.039.02857-108.140744.323838e+06747510.2159813122.612POINT (747510.216 4323837.789)...2020-01-282022-06-30 22:56:52.635035+00:00None5026https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
11CRREL_B113.039.02858-108.140704.323839e+06747513.6442473122.712POINT (747513.644 4323839.007)...2020-01-282022-06-30 22:56:52.635035+00:00None5027https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
21CRREL_B122.039.02858-108.140674.323839e+06747516.2416303123.612POINT (747516.242 4323839.089)...2020-01-282022-06-30 22:56:52.635035+00:00None5028https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
31CRREL_B121.039.02858-108.140674.323839e+06747516.2416303123.512POINT (747516.242 4323839.089)...2020-01-282022-06-30 22:56:52.635035+00:00None5029https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
41CRREL_B118.039.02860-108.140654.323841e+06747517.9033943123.112POINT (747517.903 4323841.364)...2020-01-282022-06-30 22:56:52.635035+00:00None5030https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
..................................................................
1951CRREL_B102.039.02910-108.142994.323890e+06747313.5634763121.912POINT (747313.563 4323890.494)...2020-01-282022-06-30 22:56:52.635035+00:00None5221https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
1961CRREL_B103.039.02911-108.142954.323892e+06747316.9917423121.712POINT (747316.992 4323891.713)...2020-01-282022-06-30 22:56:52.635035+00:00None5222https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
1971CRREL_B102.039.02912-108.142924.323893e+06747319.5542193121.612POINT (747319.554 4323892.905)...2020-01-282022-06-30 22:56:52.635035+00:00None5223https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
1981CRREL_B106.039.02912-108.142904.323893e+06747321.2857943122.012POINT (747321.286 4323892.959)...2020-01-282022-06-30 22:56:52.635035+00:00None5224https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
1991CRREL_B106.039.02914-108.142874.323895e+06747323.8133863122.512POINT (747323.813 4323895.261)...2020-01-282022-06-30 22:56:52.635035+00:00None5225https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcmNone
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200 rows × 23 columns

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" + ], + "text/plain": [ + " version_number equipment value latitude longitude northing \\\n", + "0 1 CRREL_B 109.0 39.02857 -108.14074 4.323838e+06 \n", + "1 1 CRREL_B 113.0 39.02858 -108.14070 4.323839e+06 \n", + "2 1 CRREL_B 122.0 39.02858 -108.14067 4.323839e+06 \n", + "3 1 CRREL_B 121.0 39.02858 -108.14067 4.323839e+06 \n", + "4 1 CRREL_B 118.0 39.02860 -108.14065 4.323841e+06 \n", + ".. ... ... ... ... ... ... \n", + "195 1 CRREL_B 102.0 39.02910 -108.14299 4.323890e+06 \n", + "196 1 CRREL_B 103.0 39.02911 -108.14295 4.323892e+06 \n", + "197 1 CRREL_B 102.0 39.02912 -108.14292 4.323893e+06 \n", + "198 1 CRREL_B 106.0 39.02912 -108.14290 4.323893e+06 \n", + "199 1 CRREL_B 106.0 39.02914 -108.14287 4.323895e+06 \n", + "\n", + " easting elevation utm_zone geom ... \\\n", + "0 747510.215981 3122.6 12 POINT (747510.216 4323837.789) ... \n", + "1 747513.644247 3122.7 12 POINT (747513.644 4323839.007) ... \n", + "2 747516.241630 3123.6 12 POINT (747516.242 4323839.089) ... \n", + "3 747516.241630 3123.5 12 POINT (747516.242 4323839.089) ... \n", + "4 747517.903394 3123.1 12 POINT (747517.903 4323841.364) ... \n", + ".. ... ... ... ... ... \n", + "195 747313.563476 3121.9 12 POINT (747313.563 4323890.494) ... \n", + "196 747316.991742 3121.7 12 POINT (747316.992 4323891.713) ... \n", + "197 747319.554219 3121.6 12 POINT (747319.554 4323892.905) ... \n", + "198 747321.285794 3122.0 12 POINT (747321.286 4323892.959) ... \n", + "199 747323.813386 3122.5 12 POINT (747323.813 4323895.261) ... \n", + "\n", + " date time_created time_updated id \\\n", + "0 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5026 \n", + "1 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5027 \n", + "2 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5028 \n", + "3 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5029 \n", + "4 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5030 \n", + ".. ... ... ... ... \n", + "195 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5221 \n", + "196 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5222 \n", + "197 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5223 \n", + "198 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5224 \n", + "199 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 5225 \n", + "\n", + " doi date_accessed instrument type \\\n", + "0 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "1 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "2 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "3 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "4 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + ".. ... ... ... ... \n", + "195 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "196 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "197 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "198 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "199 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", + "\n", + " units observers \n", + "0 cm None \n", + "1 cm None \n", + "2 cm None \n", + "3 cm None \n", + "4 cm None \n", + ".. ... ... \n", + "195 cm None \n", + "196 cm None \n", + "197 cm None \n", + "198 cm None \n", + "199 cm None \n", + "\n", + "[200 rows x 23 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "#### Crash Course in Object Relational Mapping (ORM)\n", - "\n", - "**Question**: How is a database used in pure python?!...Are you down with the O.O.P? The answer is as a Class where each column is mapped to that class as an attribute e.g. obj.attribute AND... in the correct type for python!\n", - "\n", - "Consider the following table:\n", - "\n", - "\n", - "| id | site_id | ground_roughness |\n", - "| ----|---------| -----------------|\n", - "| 0 | GML | rough | \n", - "| 1 | 2S27 | smooth | \n", - "| 2 | 3S52 | smooth | \n", - "\n", - "\n", - "In our python repo we have a made up class `SiteData` defined to map to this table.\n", - "\n", - "``` python \n", - " \n", - " from snowexsql.data import SiteData\n", - " \n", - "``` \n", - "\n", - "| id | site_id | ground_roughness |\n", - "| -------------|------------------| --------------------------|\n", - "| SiteData.id | SiteData.site_id | SiteData.ground_roughness | \n", - "| SiteData.id | SiteData.site_id | SiteData.ground_roughness | \n", - "| SiteData.id | SiteData.site_id | SiteData.ground_roughness | \n", - "\n", - "\n", - "If we queried the whole table above using the session object we would get back 3 Sitedata objects in a list. 1 for each row. \n", - "\n", - "``` console\n", - "[, , ]\n", - "```\n", - "\n", - "\n", - "This at first doesn't seem useful until you start to use the objects.\n", - "\n", - "``` python \n", - "\n", - "print(my_queried_data[0].ground_roughness)\n", - "```\n", - "\n", - "``` console\n", - "rough\n", - "```\n", - "\n", - "**Question**\n", - "\n", - "* How would you access from our list the `site_id` of the 2nd row?\n" + "from snowexsql.api import PointMeasurements\n", + "df = PointMeasurements.from_filter(type=\"depth\", instrument=\"magnaprobe\", limit=200)\n", + "df.plot()\n", + "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Recap\n", - "\n", - "You just:\n", - "\n", - "* Accessed a geodatabase using python \n", - "* Saw two methods for interacting with the db using the snowexsql library\n", - "* Pulled all the unique pit site id numbers from the db \n", - "* Had a high level intro to ORM" + "### Old Ways \n", + "See previous presentations\n", + "Engine objects, session objects, and a crash course in ORM, oh my! \n", + "* [Hackweek 2021](https://snowex-2021.hackweek.io/tutorials/database/index.html)\n", + "* [Hackweek 2022](https://snowex-2022.hackweek.io/tutorials/database/index.html)" ] } ], @@ -228,7 +508,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.8.10" } }, "nbformat": 4, diff --git a/book/tutorials/snowex_database/images/data_examples.png b/book/tutorials/snowex_database/images/data_examples.png new file mode 100644 index 0000000000000000000000000000000000000000..97e11f4dd3d5c9c22d38f1bf9cd3c1e0b23d70b0 GIT binary patch literal 412370 zcmZ6yWmsF^6D=GF?(R~cI23m+?oM$pkRrvMLMSf9og%?qiWYa5KyeC1ibHX?H~jwh z{c!K6mi4g@sbaj;%j&nE(+_Kd zRL7qJKb8LtQhHelBcRZuGQXt>Nv1E9l){sG(;)fAT$luf{jQ6rfIHLc?U-Ckyie{) zpYRNb*N%t!>AJ*=>Mne7HZWq&Jd!TaMo|>EiXK&FhF$S(e*N1>g)sUNnak8t$C3U- zOJ$$~pk 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