new(all): Removal of Azure Functions and migration to Flesk.

.funcignore

@@ -1,5 +0,0 @@
-.git*
-.vscode
-local.settings.json
-test
-.venv

.gitignore

@@ -20,7 +20,6 @@ parts/
 sdist/
 var/
 wheels/
-pip-wheel-metadata/
 share/python-wheels/
 *.egg-info/
 .installed.cfg
@@ -47,8 +46,10 @@ htmlcov/
 nosetests.xml
 coverage.xml
 *.cover
+*.py,cover
 .hypothesis/
 .pytest_cache/
+cover/
 
 # Translations
 *.mo
@@ -58,6 +59,7 @@ coverage.xml
 *.log
 local_settings.py
 db.sqlite3
+db.sqlite3-journal
 
 # Flask stuff:
 instance/
@@ -70,6 +72,7 @@ instance/
 docs/_build/
 
 # PyBuilder
+.pybuilder/
 target/
 
 # Jupyter Notebook
@@ -80,17 +83,23 @@ profile_default/
 ipython_config.py
 
 # pyenv
-.python-version
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
 
 # pipenv
 #   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
 #   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don’t work, or not
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
 #   install all needed dependencies.
 #Pipfile.lock
 
-# celery beat schedule file
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
 celerybeat-schedule
+celerybeat.pid
 
 # SageMath parsed files
 *.sage.py
@@ -122,9 +131,35 @@ dmypy.json
 # Pyre type checker
 .pyre/
 
-# Azure Functions artifacts
+# pytype static type analyzer
-bin
+.pytype/
-obj
+
-appsettings.json
+# Cython debug symbols
-local.settings.json
+cython_debug/
-.python_packages
+
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk

.vscode/extensions.json

@@ -1,6 +0,0 @@
-{
-  "recommendations": [
-    "ms-azuretools.vscode-azurefunctions",
-    "ms-python.python"
-  ]
-}

.vscode/launch.json

@@ -1,12 +0,0 @@
-{
-  "version": "0.2.0",
-  "configurations": [
-    {
-      "name": "Attach to Python Functions",
-      "type": "python",
-      "request": "attach",
-      "port": 9091,
-      "preLaunchTask": "func: host start"
-    }
-  ]
-}

.vscode/settings.json

@@ -1,8 +1,3 @@
 {
-  "azureFunctions.deploySubpath": ".",
+    "python.pythonPath": "/usr/local/bin/python3"
-  "azureFunctions.scmDoBuildDuringDeployment": true,
+}
-  "azureFunctions.pythonVenv": ".venv",
-  "azureFunctions.projectLanguage": "Python",
-  "azureFunctions.projectRuntime": "~3",
-  "debug.internalConsoleOptions": "neverOpen"
-}

.vscode/tasks.json

@@ -1,26 +0,0 @@
-{
-  "version": "2.0.0",
-  "tasks": [
-    {
-      "type": "func",
-      "command": "host start",
-      "problemMatcher": "$func-python-watch",
-      "isBackground": true,
-      "dependsOn": "pipInstall"
-    },
-    {
-      "label": "pipInstall",
-      "type": "shell",
-      "osx": {
-        "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
-      },
-      "windows": {
-        "command": "${config:azureFunctions.pythonVenv}\\Scripts\\python -m pip install -r requirements.txt"
-      },
-      "linux": {
-        "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
-      },
-      "problemMatcher": []
-    }
-  ]
-}

EstimateLoanTax/__init__.py

@@ -1,51 +0,0 @@
-import os
-import logging
-import azure.functions as func
-from azure.storage.blob import BlobClient
-from tempfile import NamedTemporaryFile
-#from azure.storage.blob import BlockBlobService
-
-#set STORAGE_BLOB_URL='https://pythonazurestorage12345.blob.core.windows.net'
-
-
-# def get_file(filename):
-#     local_file = NamedTemporaryFile()
-#     container_name="datalake"
-#     BlockBlobService.get_blob_to_stream(container_name, filename, stream=local_file, 
-#     max_connections=2)
-
-#     local_file.seek(0)
-#     return local_file
-
-# http://localhost:7071/api/EstimateLoanTax?age=23&income=20000&employeeTime=2
-def main(req: func.HttpRequest) -> func.HttpResponse:
-
-    #key  = '';
-
-    # Create the client object for the resource identified by the connection string,
-    # indicating also the blob container and the name of the specific blob we want.
-    #blob_client = BlobClient.from_connection_string(key,  blob_name="sample.csv")
-
-    # Open a local file and upload its contents to Blob Storage
-    #with open("./sample.csv", "rb") as data:
-    #    blob_client.upload_blob(data)
-
-
-    # https://docs.microsoft.com/pt-br/azure/developer/python/azure-sdk-example-storage-use?tabs=cmd
-    logging.info('Python HTTP trigger function processed a request.')
-
-    age = req.params.get('age')
-    income = req.params.get('income')
-    employeeTime = req.params.get('employeeTime')
-    
-    # Code here.
-
-    returnedTax = 1;
-
-    if returnedTax:
-        return func.HttpResponse('1')
-    else:
-        return func.HttpResponse(
-             "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
-             status_code=200
-        )

EstimateLoanTax/function.json

@@ -1,20 +0,0 @@
-{
-  "scriptFile": "__init__.py",
-  "bindings": [
-    {
-      "authLevel": "anonymous",
-      "type": "httpTrigger",
-      "direction": "in",
-      "name": "req",
-      "methods": [
-        "get",
-        "post"
-      ]
-    },
-    {
-      "type": "http",
-      "direction": "out",
-      "name": "$return"
-    }
-  ]
-}

EstimateLoanTax/sample.dat

@@ -1,3 +0,0 @@
-{
-    "name": "Azure"
-}

EstimateLoanTaxTrain/__init__.py

@@ -1,17 +0,0 @@
-import logging
-
-import azure.functions as func
-
-
-def main(req: func.HttpRequest) -> func.HttpResponse:
-    logging.info('Python HTTP trigger function processed a request.')
-
-    name = req.params.get('name')
-    
-    if name:
-        return func.HttpResponse(f"Hello, {name}. This HTTP triggered function executed successfully.")
-    else:
-        return func.HttpResponse(
-             "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
-             status_code=200
-        )

EstimateLoanTaxTrain/function.json

@@ -1,20 +0,0 @@
-{
-  "scriptFile": "__init__.py",
-  "bindings": [
-    {
-      "authLevel": "anonymous",
-      "type": "httpTrigger",
-      "direction": "in",
-      "name": "req",
-      "methods": [
-        "get",
-        "post"
-      ]
-    },
-    {
-      "type": "http",
-      "direction": "out",
-      "name": "$return"
-    }
-  ]
-}

EstimateLoanTaxTrain/sample.dat

@@ -1,3 +0,0 @@
-{
-    "name": "Azure"
-}

GeneralQA/function.json

@@ -1,20 +0,0 @@
-{
-  "scriptFile": "__init__.py",
-  "bindings": [
-    {
-      "authLevel": "anonymous",
-      "type": "httpTrigger",
-      "direction": "in",
-      "name": "req",
-      "methods": [
-        "get",
-        "post"
-      ]
-    },
-    {
-      "type": "http",
-      "direction": "out",
-      "name": "$return"
-    }
-  ]
-}

README.md

@@ -1,18 +1 @@
-# BotModels
+This is sample Python Flask application.
-
-Models in Python for General Bots AI demands.
-
-# Environment
-
-  1. Install Visual Studio Code (VSCode);
-  2. Install VSCode Extension: Azure Functions;
-  3. Install VSCode Extension: Azure Machine Learning;
-  4. Install NodeJS;
-  5. Run npm install -g azure-functions-core-tools@3 --unsafe-perm true.
-  
-# Libraries
-
-- TensorFlow;
-- SciKit-Learn;
-- Pandas;
-- NumPy.

app.py

@@ -9,12 +9,22 @@ import json
 
 predictor = None
 
-def main(req: func.HttpRequest) -> func.HttpResponse:
+from flask import Flask, render_template, request
+import hmac
+
+app = Flask(__name__)
+
+@app.route("/query",  methods=['POST'])
+def index():    
     logging.info('General Bots QA.')
 
-    content = req.form.get('content')
+    content = request.form.get('content')
-    question = req.params.get('question')
+    question = request.args.get('question')
-                                     
+    key = request.args.get('key')
+
+    if not hmac.compare_digest(key, 'starter'):
+        return 'Invalid key.'
+
     global predictor
     if predictor is None:
         predictor = Predictor.from_path("https://storage.googleapis.com/allennlp-public-models/transformer-qa-2020-10-03.tar.gz")
@@ -26,9 +36,10 @@ def main(req: func.HttpRequest) -> func.HttpResponse:
        
 
     if answer:
-        return func.HttpResponse(answer)
+        return answer
     else:
-        return func.HttpResponse(
+        return "No answers for this question."
-            "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
+    
-            status_code=200
+if __name__ == '__main__':
-    )
+    app.run(debug=True)
+        

host.json

@@ -1,15 +0,0 @@
-{
-  "version": "2.0",
-  "logging": {
-    "applicationInsights": {
-      "samplingSettings": {
-        "isEnabled": true,
-        "excludedTypes": "Request"
-      }
-    }
-  },
-  "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
-    "version": "[2.*, 3.0.0)"
-  }
-}

proxies.json

@@ -1,4 +0,0 @@
-{
-  "$schema": "http://json.schemastore.org/proxies",
-  "proxies": {}
-}

requirements.txt

@@ -8,3 +8,5 @@ numpy
 allennlp
 allennlp-models
 nltk
+Flask>=1.0,<=1.1.2
+hashlib

templates/index.html

@@ -0,0 +1,14 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+    <title>Azure Web Apps</title>
+    <link rel="stylesheet" href="css/style.css">
+</head>
+
+<body>
+    <h1>Welcome to Azure Web Apps!!</h1>
+</body>
+
+</html>