update business and finance apps 💼

src/simmate/apps/ethereum/templates/ethereum/transactions/table.html

@@ -1,27 +1,27 @@
 {% extends "data_explorer/table_entries_base.html" %}
 {% block table_headers %}
-    {% table_header "id" "Hash:Type:ID" min_width=700 %}
-    {% table_header "from_address" "From" min_width=400 %}
-    {% table_header "from_address" "To" min_width=400 %}
+    {% table_header "id" "Hash:Type:ID" min_width=150 %}
+    {% table_header "from_address" "From" min_width=150 %}
+    {% table_header "from_address" "To" min_width=150 %}
     {% table_header "chain" "Chain" min_width=150 %}
     {% table_header "asset" "Asset" min_width=150 %}
     {% table_header "amount" "Amount" min_width=150 %}
     {% table_header "created_at_original" "Date" min_width=250 %}
 {% endblock %}
 {% block table_rows %}
-    <td>{% foreign_key_link entry %}</td>
+    <td>{% foreign_key_link entry truncate_chars=10 %}</td>
     <td>
         {% if entry.from_address.ens_name %}
             {% foreign_key_link entry.from_address "ens_name" %}
         {% else %}
-            {% foreign_key_link entry.from_address %}
+            {% foreign_key_link entry.from_address truncate_chars=10 %}
         {% endif %}
     </td>
     <td>
         {% if entry.to_address.ens_name %}
             {% foreign_key_link entry.to_address "ens_name" %}
         {% else %}
-            {% foreign_key_link entry.to_address %}
+            {% foreign_key_link entry.to_address truncate_chars=10 %}
         {% endif %}
     </td>
     <td>{{ entry.chain }}</td>

src/simmate/apps/ethereum/templates/ethereum/wallets/table.html

@@ -1,15 +1,15 @@
 {% extends "data_explorer/table_entries_base.html" %}
 {% block table_headers %}
-    {% table_header "id" "ETH Address" min_width=400 %}
+    {% table_header "id" "ETH Address" min_width=150 %}
     {% table_header "ens_name" "ENS" min_width=200 %}
-    {% table_header "ethereum_balance" "ETH" min_width=200 %}
-    {% table_header "usdc_balance" "USDC" min_width=200 %}
+    {% table_header "ethereum_balance" "ETH" min_width=150 %}
+    {% table_header "usdc_balance" "USDC" min_width=150 %}
     {% table_header "stablecoin_total_balance" "Total Stablecoins" min_width=200 %}
-    {% table_header "assets_total_value_usd" "Total Assets" min_width=200 %}
+    {% table_header "assets_total_value_usd" "Total Assets" min_width=150 %}
     {% table_header "updated_at" "Updated" min_width=250 %}
 {% endblock %}
 {% block table_rows %}
-    <td>{% foreign_key_link entry %}</td>
+    <td>{% foreign_key_link entry truncate_chars=10 %}</td>
     <td>
         {% if entry.ens_name %}
             <b>{{ entry.ens_name }}</b>

src/simmate/apps/price_catalog/clients/fred.py

@@ -18,6 +18,27 @@ class FredClient:
         "Electricity": "CUSR0000SEHF01",  # or APU000072610
         "Housing": "CSUSHPINSA",
         "Consumer Price Index": "CPIAUCSL",  # use for inflation metrics
+        #
+        # Producer Price Index (PPI):
+        #   sections for "Industrial Chemicals" or "Chemicals and Allied Products"
+        # Make sure you look at this link to see the full tree of these tickers
+        # and how they relate to one another (some are subcategories of others)
+        # https://fred.stlouisfed.org/release/tables?rid=46&eid=142872#snid=142874
+        "Chemicals": "WPU06",  # & Allied Products
+        "Industrial Chemicals": "WPU061",
+        #
+        "Inorganic Chemicals": "WPU0613",
+        "Organic Chemicals": "WPU0614",
+        "Industrial Gases": "WPU067903",
+        #
+        "Carbon": "WPU06790918",  # Carbon Black
+        # "Carbon Dioxide": "WPU06790302",
+        "Nitrogen": "WPU06790303",
+        "Oxygen": "WPU06790304",
+        "Aluminum": "WPU06130209",  # Aluminum containing compounds
+        # "Sulfuric Acid": "WPU0613020T1",
+        # "NaCl": "WPU06130271",  # Rock Salt
+        # "Ethanol": "WPU06140341",
     }
 
     @classmethod
@@ -41,7 +62,7 @@ def get_data(cls, name: str):
     @staticmethod
     def get_ticker_data(ticker: str):
         """
-        Uses the Yahoo ticker value to grab data. Can be any ticker in the live site
+        Uses the FRED ticker value to grab data. Can be any ticker in the live site
         such as `SPY` or `GOOGL`
         """
         url = f"https://fred.stlouisfed.org/graph/fredgraph.csv?id={ticker}"

src/simmate/apps/price_catalog/components/__init__.py

@@ -0,0 +1,3 @@
+# -*- coding: utf-8 -*-
+
+from .priced_items_report import PricedItemsReport

src/simmate/apps/price_catalog/components/priced_items_report.py

@@ -0,0 +1,88 @@
+# -*- coding: utf-8 -*-
+
+from simmate.website.htmx.components import HtmxComponent
+
+from ..models import PricedItem
+
+
+class PricedItemsReport(HtmxComponent):
+
+    template_name = "price_catalog/priced_items/report.html"
+
+    item_names_options: list[str] = None  # set in mount
+    # years_ago_norm_options: list[int] = PricedItem.years_ago_options
+
+    years_ago_norm_options = [
+        (1, "Δ1y"),
+        (5, "Δ5y"),
+        (10, "Δ10y"),
+        (25, "Δ25y"),
+        ("max", "Max"),
+    ]
+
+    def mount(self):
+
+        self.priced_item_id = self.request.resolver_match.kwargs["table_entry_id"]
+        self.priced_item = PricedItem.objects.get(id=self.priced_item_id)
+
+        self.item_names_options = list(
+            PricedItem.objects.values_list("name", flat=True).order_by("name").all()
+        )
+        self.form_data = {
+            "item_names": [],  # ["S&P 500", "Gold"]
+            "use_percent": False,
+            "use_inflation_adj": False,
+            "years_ago_norm": "max",
+        }
+        self.process()  # to create figure
+
+    def post_parse(self):
+        # BUG: checkbox field does not show in POST data when =False. This is
+        # normal HTML behavior to save on bandwidth, but causes a bug here.
+        if "use_percent" not in self.post_data.keys():
+            self.post_data["use_percent"] = False
+        if "use_inflation_adj" not in self.post_data.keys():
+            self.post_data["use_inflation_adj"] = False
+
+    def process(self):
+
+        if self.form_data["item_names"]:
+            self.figure = PricedItem.get_report_figure(
+                names=[self.priced_item.name] + self.form_data["item_names"],
+                years_ago_norm=(
+                    self.form_data["years_ago_norm"]
+                    if self.form_data["years_ago_norm"] != "max"
+                    else None
+                ),
+                percent=(
+                    self.form_data["use_percent"]
+                    if self.form_data["years_ago_norm"] != "max"
+                    else None
+                ),
+                inflation_adj=self.form_data["use_inflation_adj"],
+            )
+
+        elif self.form_data["years_ago_norm"] == "max":
+            self.figure = self.priced_item.get_price_figure(
+                inflation_adj=self.form_data["use_inflation_adj"],
+            )
+
+        else:
+            self.figure = self.priced_item.get_delta_figure(
+                years_ago=self.form_data["years_ago_norm"],
+                percent=self.form_data["use_percent"],
+                inflation_adj=self.form_data["use_inflation_adj"],
+            )
+
+    # -------------------------------------------------------------------------
+
+    def on_change_hook__item_names(self):
+        # bug-fix: when only one is selected, the value isn't put in a list
+        if isinstance(self.form_data["item_names"], str):
+            self.form_data["item_names"] = [self.form_data["item_names"]]
+
+    def on_change_hook__years_ago_norm(self):
+        if self.form_data["years_ago_norm"] != "max":
+            self.form_data["item_names"] = []
+            # self.form_data["use_percent"] = True
+            # self.form_data["use_inflation_adj"] = True

src/simmate/apps/price_catalog/data/README.md

@@ -0,0 +1,5 @@
+
+To quickly look up common chemicals & their prices, for "the big 3":
+- Sigma-Aldrich (MilliporeSigma): https://www.sigmaaldrich.com/US/en/products/chemistry-and-biochemicals/lab-chemicals
+- Fisher Scientific (Thermo Fisher Scientific): https://www.thermofisher.com/us/en/home/chemicals.html
+- VWR International (Avantor): https://www.avantorsciences.com/us/en/products/chemicals

src/simmate/apps/price_catalog/data/__init__.py

@@ -0,0 +1,3 @@
+# -*- coding: utf-8 -*-
+
+from .utilities import WIKIPEDIA_PRICES_OF_ELEMENTS_DATA

src/simmate/apps/price_catalog/data/utilities.py

@@ -0,0 +1,38 @@
+# -*- coding: utf-8 -*-
+
+from pathlib import Path
+
+import pandas
+
+
+def load_wikipedia_data() -> pandas.DataFrame:
+    """
+    Loads a snapshot dataset from the "Prices of chemical elements" page
+
+    This dataset was pulled from:
+        https://en.wikipedia.org/wiki/Prices_of_chemical_elements
+
+    Note, I used Gemini to web scrape bc I'm lazy. The following prompt was used
+    to generate the CSV file, and I spot checked only a little to confirm:
+
+        '''
+        Grab the table from this link and convert it to a CSV:
+        https://en.wikipedia.org/wiki/Prices_of_chemical_elements
+
+        The following should be done too:
+        - split the "abundance" column into two columns, one for mg/kg and one for total mass
+        - use "e" notation instead of "x10^" so that values are floats
+        - standardize numerical columns (e.g. convert ranges to single value and exclude any >, <, ~, etc symbols)
+        - leave a cell empty instead of using text like "Not traded"
+        - use the columns names of...
+            z, symbol, name, density_kg_l, abundance_mg_kg, total_mass_kg,
+            price_per_kg, price_per_l, year, source, notes
+        '''
+
+    """
+    datafile = Path(__file__).parent / "wikipedia_prices_of_elements.csv"
+    data = pandas.read_csv(datafile)
+    return data
+
+
+WIKIPEDIA_PRICES_OF_ELEMENTS_DATA = load_wikipedia_data()

src/simmate/apps/price_catalog/data/wikipedia_prices_of_elements.csv

@@ -0,0 +1,124 @@
+z,symbol,name,density_kg_l,abundance_mg_kg,total_mass_kg,price_per_kg,price_per_l,year,source,notes
+1,H,Hydrogen,0.00008988,1400.0,3.878e19,1.39,0.000125,2012,DOE Hydrogen,
+1,"2H (D)",Deuterium,0.0001667,1.5e-5,4.155e11,13400.0,2.23,2020,CIL,
+2,He,Helium,0.0001785,0.008,2.216e14,24.0,0.00429,2018,USGS MCS,
+3,Li,Lithium,0.534,20.0,5.54e17,83.5,44.55,2020,SMM,
+4,Be,Beryllium,1.85,2.8,7.756e16,857.0,1590.0,2020,ISE 2020,
+5,B,Boron,2.34,10.0,2.77e17,3.68,8.62,2019,CEIC Data,
+6,C,Carbon,2.267,200.0,5.54e18,0.122,0.28,2018,EIA Coal,
+7,N,Nitrogen,0.0012506,19.0,5.263e17,0.14,0.000175,2001,Hypertextbook,
+8,O,Oxygen,0.001429,461000.0,1.277e22,0.154,0.00022,2001,Hypertextbook,
+9,F,Fluorine,0.001696,585.0,1.62e19,2.0,0.00338,2017,Echemi,
+10,Ne,Neon,0.0008999,0.005,1.385e14,240.0,0.21,1999,Ullmann,
+11,Na,Sodium,0.971,23600.0,6.537e20,3.0,2.91,2020,SMM,
+12,Mg,Magnesium,1.738,23300.0,6.454e20,2.32,4.03,2019,Preismonitor,
+13,Al,Aluminium,2.698,82300.0,2.28e21,1.79,4.84,2019,Preismonitor,
+14,Si,Silicon,2.3296,282000.0,7.811e21,1.7,3.97,2019,Preismonitor,
+15,P,Phosphorus,1.82,1050.0,2.909e19,2.69,4.9,2019,CEIC Data,
+16,S,Sulfur,2.067,350.0,9.695e18,0.0926,0.191,2019,CEIC Data,
+17,Cl,Chlorine,0.003214,145.0,4.075e18,0.082,0.00026,2013,CnAgri,
+18,Ar,Argon,0.0017837,3.5,9.695e16,0.931,0.00166,2019,UNLV,
+19,K,Potassium,0.862,20900.0,5.789e20,12.85,11.1,2020,SMM,
+20,Ca,Calcium,1.54,41500.0,1.15e21,2.28,3.52,2020,SMM,
+21,Sc,Scandium,2.989,22.0,6.094e17,3460.0,10300.0,2020,ISE 2020,
+22,Ti,Titanium,4.54,5650.0,1.565e20,11.4,51.8,2020,SMM,
+23,V,Vanadium,6.11,120.0,3.324e18,371.0,2265.0,2020,SMM,
+24,Cr,Chromium,7.15,102.0,2.825e18,9.4,67.2,2019,Preismonitor,
+25,Mn,Manganese,7.44,950.0,2.632e19,1.82,13.6,2019,Preismonitor,
+26,Fe,Iron,7.874,56300.0,1.565e21,0.424,3.34,2020,SMM,
+27,Co,Cobalt,8.86,25.0,6.925e17,32.8,291.0,2019,Preismonitor,
+28,Ni,Nickel,8.912,84.0,2.327e18,13.9,124.0,2019,Preismonitor,
+29,Cu,Copper,8.96,60.0,1.662e18,6.0,53.8,2019,Preismonitor,
+30,Zn,Zinc,7.134,70.0,1.939e18,2.55,18.2,2019,Preismonitor,
+31,Ga,Gallium,5.907,19.0,5.263e17,148.0,872.0,2019,Preismonitor,
+32,Ge,Germanium,5.323,1.5,4.155e16,962.0,5125.0,2020,SMM,
+33,As,Arsenic,5.776,1.8,4.986e16,1.155,6.675,2020,SMM,
+34,Se,Selenium,4.809,0.05,1.385e15,21.4,103.0,2019,Preismonitor,
+35,Br,Bromine,3.122,2.4,6.648e16,4.39,13.7,2019,CEIC Data,
+36,Kr,Krypton,0.003733,1.0e-4,2.77e12,290.0,1.1,1999,Ullmann,
+37,Rb,Rubidium,1.532,90.0,2.493e18,15500.0,23700.0,2018,USGS MCS,
+38,Sr,Strontium,2.64,370.0,1.025e19,6.605,17.4,2019,ISE 2019,
+39,Y,Yttrium,4.469,33.0,9.141e17,31.0,139.0,2019,Preismonitor,
+40,Zr,Zirconium,6.506,165.0,4.571e18,36.4,236.5,2020,SMM,
+41,Nb,Niobium,8.57,20.0,5.54e17,73.5,630.0,2020,SMM,
+42,Mo,Molybdenum,10.22,1.2,3.324e16,40.1,410.0,2019,Preismonitor,
+43,Tc,Technetium,11.5,3.0e-9,8.31e7,100000.0,1200000.0,2004,CRC Handbook,
+43,"99mTc","Technetium-99m",11.5,3.0e-9,8.31e7,1.9e12,2.2e13,2008,NRC,
+44,Ru,Ruthenium,12.37,0.001,2.77e13,10500.0,130000.0,2020,SMM,
+45,Rh,Rhodium,12.41,0.001,2.77e13,147000.0,1820000.0,2019,Preismonitor,
+46,Pd,Palladium,12.02,0.015,4.155e14,49500.0,595000.0,2019,Preismonitor,
+47,Ag,Silver,10.501,0.075,2.0775e15,521.0,5470.0,2019,Preismonitor,
+48,Cd,Cadmium,8.69,0.159,4.4043e15,2.73,23.8,2019,Preismonitor,
+49,In,Indium,7.31,0.25,6.925e15,167.0,1220.0,2019,Preismonitor,
+50,Sn,Tin,7.287,2.3,6.371e16,18.7,136.0,2019,Preismonitor,
+51,Sb,Antimony,6.685,0.2,5.54e15,5.79,38.7,2019,Preismonitor,
+52,Te,Tellurium,6.232,0.001,2.77e13,63.5,396.0,2019,Preismonitor,
+53,I,Iodine,4.93,0.45,1.2465e16,35.0,173.0,2019,Industrial Minerals,
+54,Xe,Xenon,0.005887,3.0e-5,8.31e11,1800.0,11.0,1999,Ullmann,
+55,Cs,Caesium,1.873,3.0,8.31e16,61800.0,116000.0,2018,USGS MCS,
+56,Ba,Barium,3.594,425.0,1.177e19,0.2605,0.938,2016,USGS MYB 2016,
+57,La,Lanthanum,6.145,39.0,1.08e18,4.85,29.85,2020,SMM,
+58,Ce,Cerium,6.77,66.5,1.84205e18,4.64,31.4,2020,SMM,
+59,Pr,Praseodymium,6.773,9.2,2.5484e17,103.0,695.0,2019,Preismonitor,
+60,Nd,Neodymium,7.007,41.5,1.14955e18,57.5,403.0,2019,Preismonitor,
+61,"147Pm","Promethium-147",7.26,5.0e-14,1.385e3,460000.0,3400000.0,2003,Radiochemistry Society,
+62,Sm,Samarium,7.52,7.05,1.95285e17,13.9,104.0,2019,Preismonitor,
+63,Eu,Europium,5.243,2.0,5.54e16,31.4,165.0,2020,ISE 2020,
+64,Gd,Gadolinium,7.895,6.2,1.7174e17,28.6,226.0,2020,ISE 2020,
+65,Tb,Terbium,8.229,1.2,3.324e16,658.0,5410.0,2019,Preismonitor,
+66,Dy,Dysprosium,8.55,5.2,1.4404e17,307.0,2630.0,2019,Preismonitor,
+67,Ho,Holmium,8.795,1.3,3.601e16,57.1,503.0,2020,ISE 2020,
+68,Er,Erbium,9.066,3.5,9.695e16,26.4,240.0,2020,ISE 2020,
+69,Tm,Thulium,9.321,0.52,1.4404e16,3000.0,28000.0,2003,IMAR,
+70,Yb,Ytterbium,6.965,3.2,8.864e16,17.1,119.0,2020,ISE 2020,
+71,Lu,Lutetium,9.84,0.8,2.216e16,643.0,6330.0,2020,ISE 2020,
+72,Hf,Hafnium,13.31,3.0,8.31e16,900.0,12000.0,2017,USGS MCS,
+73,Ta,Tantalum,16.654,2.0,5.54e16,305.0,5080.0,2019,ISE 2019,
+74,W,Tungsten,19.25,1.3,3.601e16,35.3,679.0,2019,Preismonitor,
+75,Re,Rhenium,21.02,7.0e-4,1.939e13,3580.0,75300.0,2020,SMM,
+76,Os,Osmium,22.61,0.002,5.54e13,30000.0,678000.0,2025,elementsales.com,
+77,Ir,Iridium,22.56,0.001,2.77e13,144000.0,3276000.0,2025,Umicore,
+78,Pt,Platinum,21.46,0.005,1.385e14,27800.0,596000.0,2019,Preismonitor,
+79,Au,Gold,19.282,0.004,1.108e14,75430.0,1454441.0,2024,London gold fix,
+80,Hg,Mercury,13.5336,0.085,2.3545e15,30.2,409.0,2017,USGS MCS,
+81,Tl,Thallium,11.85,0.85,2.3545e16,4200.0,49800.0,2017,USGS MCS,
+82,Pb,Lead,11.342,14.0,3.878e17,2.0,22.6,2019,Preismonitor,
+83,Bi,Bismuth,9.807,0.009,2.493e14,6.36,62.4,2019,Preismonitor,
+84,"209Po","Polonium-209",9.32,3.0e-16,8.31e0,4.92e13,4.58e14,2004,CRC Handbook (ORNL),
+85,At,Astatine,7.0,3.0e-20,8.31e-4,,,,
+86,Rn,Radon,0.00973,4.0e-13,1.108e4,,,,
+87,Fr,Francium,1.87,1.0e-18,2.77e-2,,,,
+88,Ra,Radium,5.5,9.0e-7,2.493e10,,,,
+89,"225Ac","Actinium-225",10.07,1.0e-11,2.77e5,2.9e13,2.9e14,2004,CRC Handbook (ORNL),
+90,Th,Thorium,11.72,9.6,2.6592e17,287.0,3360.0,2010,USGS MYB 2012,
+91,Pa,Protactinium,15.37,1.4e-6,3.878e10,,,,
+92,U,Uranium,18.95,2.7,7.479e16,101.0,1910.0,2018,EIA Uranium Marketing,
+93,Np,Neptunium,20.45,3.0e-12,8.31e4,660000.0,13500000.0,2003,Pomona,
+94,"239Pu","Plutonium-239",19.84,5.0e-14,1.385e3,6490000.0,129000000.0,2019,DOE OSTI,
+95,"241Am","Americium-241",13.69,,,728000.0,9970000.0,1998,NWA,
+95,"243Am","Americium-243",13.69,,,750000.0,10300000.0,2004,CRC Handbook (ORNL),
+96,"244Cm","Curium-244",13.51,,,185000000.0,2.5e9,2004,CRC Handbook (ORNL),
+96,"248Cm","Curium-248",13.51,,,1.6e11,2.16e12,2004,CRC Handbook (ORNL),
+97,"249Bk","Berkelium-249",14.79,,,1.85e11,2.74e12,2004,CRC Handbook (ORNL),
+98,"249Cf","Californium-249",15.1,,,1.85e11,2.79e12,2004,CRC Handbook (ORNL),
+98,"252Cf","Californium-252",15.1,,,6.0e10,9.06e11,2004,CRC Handbook (ORNL),
+99,Es,Einsteinium,8.84,,,,,,
+100,Fm,Fermium,9.7,,,,,,
+101,Md,Mendelevium,10.3,,,,,,
+102,No,Nobelium,9.9,,,,,,
+103,Lr,Lawrencium,15.6,,,,,,
+104,Rf,Rutherfordium,23.2,,,,,,
+105,Db,Dubnium,29.3,,,,,,
+106,Sg,Seaborgium,35.0,,,,,,
+107,Bh,Bohrium,37.1,,,,,,
+108,Hs,Hassium,40.7,,,,,,
+109,Mt,Meitnerium,37.4,,,,,,
+110,Ds,Darmstadtium,34.8,,,,,,
+111,Rg,Roentgenium,28.7,,,,,,
+112,Cn,Copernicium,14.0,,,,,,
+113,Nh,Nihonium,16.0,,,,,,
+114,Fl,Flerovium,9.928,,,,,,
+115,Mc,Moscovium,13.5,,,,,,
+116,Lv,Livermorium,12.9,,,,,,
+117,Ts,Tennessine,7.2,,,,,,
+118,Og,Oganesson,7.0,,,,,,