initial commit

Author: evshvarov

.vscode/settings.json

@@ -28,6 +28,7 @@
         "username": "_SYSTEM",
         "password": "SYS"
       }
-    ]
+    ],
+    "python.pythonPath": "/usr/local/bin/python3"
 
 }

Dockerfile

@@ -5,6 +5,7 @@ ARG IMAGE=intersystemsdc/irishealth-community:2020.3.0.200.0-zpm
 ARG IMAGE=intersystemsdc/iris-community:2020.3.0.200.0-zpm
 ARG IMAGE=intersystemsdc/iris-community:2020.3.0.221.0-zpm
 ARG IMAGE=intersystemsdc/iris-community:2020.4.0.524.0-zpm
+ARG IMAGE=intersystemsdc/iris-ml-community:2020.3.0.302.0-zpm
 FROM $IMAGE
 
 USER root   
@@ -14,6 +15,7 @@ RUN chown ${ISC_PACKAGE_MGRUSER}:${ISC_PACKAGE_IRISGROUP} /opt/irisbuild
 USER ${ISC_PACKAGE_MGRUSER}
 
 #COPY  Installer.cls .
+COPY  python python
 COPY  src src
 COPY module.xml module.xml
 COPY iris.script iris.script

data/titanic.csv

@@ -58,3 +58,4 @@ zn "%SYS" \
 
 zw ##class(community.csvgen).GenerateFromURL("https://github.com/h2oai/h2o-tutorials/raw/master/h2o-world-2017/automl/data/product_backorders.csv")
 
+d ##class(dc.python.test).TitanicMeanAge()

dev.md

@@ -7,7 +7,7 @@ services:
     restart: always
     ports: 
       - 1972
-      - 52773
+      - 55037:52773
       - 53773
     volumes:
       - ./:/irisrun/repo

docker-compose.yml

@@ -1,12 +1,13 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <Export generator="Cache" version="25">
-  <Document name="objectscript-template.ZPM">
+  <Document name="iris-python-template.ZPM">
     <Module>
-      <Name>objectscript-template</Name>
-      <Version>1.1.2</Version>
+      <Name>iris-python-template</Name>
+      <Version>0.0.1</Version>
       <Packaging>module</Packaging>
       <SourcesRoot>src</SourcesRoot>
-      <Resource Name="dc.PackageSample.PKG"/>
+      <Resource Name="dc.python.PKG"/>
+      <FileCopy Name="python/" Target="${mgrdir}python/"/>
     </Module>
   </Document>
 </Export>

module.xml

@@ -0,0 +1,22 @@
+import numpy as np
+import pandas as pd
+
+def hello():
+    return "world"
+
+def meanage(filename="titanic.csv"):
+    # Read data
+    titanic = pd.read_csv(filename,",")
+
+    # Set passenger ages to a NumPy array
+    passenger_ages = titanic['Age']
+    #print(passenger_ages)
+
+    # Use numpy to calculate the mean age of passengers
+    mean_age = np.nanmean(passenger_ages)
+
+    #print(mean_age)
+
+    return str(mean_age)
+
+#print(meanage())

python/sample.py

@@ -0,0 +1,38 @@
+Class dc.python.test
+{
+
+ClassMethod HelloWorld() As %Status
+{
+  Set sc = $$$OK
+  Set b = ##class(%SYS.Python).Import("builtins")
+  Do b.print("Hello world")
+  Return sc
+}
+
+ClassMethod Today() As %Status
+{
+  Set sc = $$$OK
+  Set dt = ##class(%SYS.Python).Import("datetime")
+  write dt.date.today().isoformat()
+  Return sc
+}
+
+ClassMethod Hello() As %Status
+{
+  Set sc = $$$OK
+  Set sm = ##class(%SYS.Python).Import("sample")
+  write sm.hello()
+  Return sc
+}
+
+/// Titanic
+ClassMethod TitanicMeanAge() As %Status
+{
+    Set sc = $$$OK
+    set tt=##class(%SYS.Python).Import("sample")
+    set mean=tt.meanage("/irisrun/repo/data/titanic.csv")
+    write "mean age="_mean
+    Return sc
+}
+
+}