FazBrowse GitHub Viewer
|
Trending
|
URL:
|
Home
Tools:
[Download Repo ZIP]
[View Raw Code]
[Original HTTPS Page]
nutrexa-hack/lambda_function.py at master · robzwolf/nutrexa-hack · GitHub
This repository was archived by the owner on Apr 9, 2021. It is now read-only.
robzwolf
/
nutrexa-hack
Public archive
Notifications
You must be signed in to change notification settings
Fork
1
Star
0
Code
Issues
0
Pull requests
0
Actions
Projects
Security and quality
0
Insights
Additional navigation options
Code
Issues
Pull requests
Actions
Projects
Security and quality
Insights
Expand file tree
Breadcrumbs
nutrexa-hack
/
lambda_function.py
Copy path
More file actions
More file actions
Latest commit
History
History
History
406 lines (322 loc) · 14.4 KB
Breadcrumbs
nutrexa-hack
/
lambda_function.py
Copy path
File metadata and controls
406 lines (322 loc) · 14.4 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
"""
This sample demonstrates a simple skill built with the Amazon Alexa Skills Kit.
The Intent Schema, Custom Slots, and Sample Utterances for this skill, as well
as testing instructions are located at http://amzn.to/1LzFrj6
For additional samples, visit the Alexa Skills Kit Getting Started guide at
http://amzn.to/1LGWsLG
"""
from
__future__
import
print_function
import
boto3
import
post_to_database
import
read_from_database
import
datetime
import
nutritionix_api_key
import
nutritionix
# Recommended daily allowances in milligrams
POTASSIUM_RDA
=
3500
SODIUM_RDA
=
2400
# --------------- Helpers that build all of the responses ----------------------
def
build_speechlet_response
(
title
,
output
,
reprompt_text
,
should_end_session
):
return
{
'outputSpeech'
: {
'type'
:
'PlainText'
,
'text'
:
output
},
# ,
# 'card': {
# 'type': 'Simple',
# 'title': "SessionSpeechlet - " + title,
# 'content': "SessionSpeechlet - " + output
# },
# 'reprompt': {
# 'outputSpeech': {
# 'type': 'PlainText',
# 'text': reprompt_text
# }
# }
'shouldEndSession'
:
should_end_session
}
def
build_response
(
session_attributes
,
speechlet_response
):
return
{
'version'
:
'1.0'
,
'sessionAttributes'
:
session_attributes
,
'response'
:
speechlet_response
}
# --------------- Functions that control the skill's behavior ------------------
def
get_welcome_response
():
""" If we wanted to initialize the session to have some attributes we could
add those here
"""
session_attributes
=
{}
card_title
=
"Welcome"
speech_output
=
"Welcome to the Alexa Skills Kit sample. "
\
"Please tell me your favorite color by saying, "
\
"my favorite color is red"
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text
=
"Please tell me your favorite color by saying, "
\
"my favorite color is red."
should_end_session
=
False
return
build_response
(
session_attributes
,
build_speechlet_response
(
card_title
,
speech_output
,
reprompt_text
,
should_end_session
))
def
handle_session_end_request
():
card_title
=
"Session Ended"
speech_output
=
"Thank you for trying the Alexa Skills Kit sample. "
\
"Have a nice day! "
# Setting this to true ends the session and exits the skill.
should_end_session
=
True
return
build_response
({},
build_speechlet_response
(
card_title
,
speech_output
,
None
,
should_end_session
))
def
handle_get_nutrition_intent
(
intent
):
nutritional_category
=
None
try
:
nutritional_category
=
intent
[
'slots'
][
'nutritional_category'
][
'value'
].
lower
()
except
:
pass
food_type
=
None
try
:
food_type
=
intent
[
'slots'
][
'food_List'
][
'value'
].
lower
()
except
:
pass
#if(!nutritional_category=null && !food_type=null):
if
nutritional_category
is
None
and
food_type
is
None
:
result
=
read_from_database
.
get_user_information
()
# If the user asked "how healthy am I today"
sodiumContent
=
result
[
'Sodium'
]
print
(
sodiumContent
)
potasiumContent
=
result
[
'Potasium'
]
print
(
potasiumContent
)
caloriesContent
=
result
[
'Calories'
]
print
(
potasiumContent
)
speech_output
=
""
if
sodiumContent
>
5000
:
print
(
"Lower your sodium Content"
)
speech_output
+=
"You've eaten too much sodium today. The limit is 1000 and you've had "
+
str
(
sodiumContent
)
+
". "
if
potasiumContent
>
10000
:
print
(
"Lower your potasiumContent"
)
speech_output
+=
"You've eaten too much potassium today. The limit is 500 and you've had "
+
str
(
potasiumContent
)
+
". "
if
caloriesContent
>
5000
:
print
(
"Lower your caloriesContent"
)
speech_output
+=
"You've eaten too much today. Your calories intake for today is "
+
str
(
caloriesContent
)
+
". "
if
speech_output
==
""
:
print
(
"You are in good health"
)
speech_output
=
"Congratulations, you are in great health!"
return
basic_say
(
speech_output
)
elif
nutritional_category
is
None
and
food_type
is
not
None
:
# User asked "How many food_type did I have today"
#print(food_type)
result
=
read_from_database
.
get_user_information_for_FoodType
(
food_type
)
return
basic_say
(
"You have eaten "
+
str
(
result
)
+
" "
+
str
(
food_type
)
+
" today"
)
if
not
nutritional_category
is
None
and
food_type
is
None
:
# User asked "What's my nutritional_category level"
result
=
read_from_database
.
get_user_information_for_NutritionType
(
nutritional_category
)
if
result
==
-
1
:
return
basic_say
(
"Sorry, I don't know what "
+
nutritional_category
+
" means"
)
return
basic_say
(
"You've eaten "
+
str
(
result
)
+
" "
+
nutritional_category
+
" today"
)
result
=
read_from_database
.
get_user_information
()
print
(
result
)
def
handle_add_food_intent
(
intent
):
user_food
=
intent
[
'slots'
][
'food_type'
][
'value'
].
lower
()
#nutritionix.do_nutri(user_food)
# Default quantity is 1 if it was not specified
quantity
=
1
try
:
if
intent
[
'slots'
][
'food_quantity'
][
'value'
]
!=
'?'
:
quantity
=
intent
[
'slots'
][
'food_quantity'
][
'value'
]
except
:
pass
food_item
=
[
user_food
,
int
(
quantity
)]
print
(
"Food item is"
,
food_item
)
itemExistance
=
post_to_database
.
check_item_existence
(
food_item
)
# Check if the item is understood (exists in Food_Items DB) and act appropriately
if
itemExistance
:
print
(
"check_item_existence returned True"
)
#return basic_say("That item existed already.")
else
:
print
(
"check_item_existence returned False"
)
post_to_database
.
add_item_to_DB
(
food_item
)
#return basic_say("That item did not exist, adding it to Food Items database.")
# Get current date
now
=
datetime
.
datetime
.
now
()
# Get food item information (sodium, potassium etc.)
item_info
=
read_from_database
.
get_item_information
([
user_food
])
# Set username
username
=
"Amish"
# Make a pretty date string yyyymmdd
#date_string = str(now.year) + str(now.month) + str(now.day)
date_string
=
"20180121"
# Hardcoded because of leading zero on month
# Get potassium
potassium
=
item_info
[
'Potasium'
]
# Get sodium
sodium
=
item_info
[
'Sodium'
]
# Get Calories
calories
=
item_info
[
'Calories'
]
# Prepare data in format accepted by post_to_database
data_to_post
=
[
username
,
date_string
,
user_food
,
int
(
quantity
),
potassium
,
sodium
,
calories
]
# Send data block to database and calculate new totals for the day
if
itemExistance
:
post_to_database
.
updateOldFoodInFoodConsumptionTable
(
data_to_post
)
else
:
post_to_database
.
updateNewFoodInFoodConsumptionTable
(
data_to_post
)
return
basic_say
(
"Okay cool, I hope you enjoyed your %s!"
%
user_food
)
def
handle_list_all_intent
(
intent
):
print
(
"Called handle_list_all_intent with intent:"
,
intent
)
all_user_info
=
read_from_database
.
get_user_information
()
print
(
"all_user_info:"
,
all_user_info
)
skip_keys
=
[
"Date"
,
"Sodium"
,
"User"
,
"Calories"
,
"Potasium"
]
consumed_food_items
=
{}
for
key
in
all_user_info
.
keys
():
if
key
not
in
skip_keys
:
consumed_food_items
[
key
]
=
all_user_info
[
key
]
print
(
"consumed_food_items:"
,
consumed_food_items
)
speech_output
=
"You have eaten "
for
food
in
consumed_food_items
.
keys
():
speech_output
+=
str
(
consumed_food_items
[
food
])
+
" "
+
food
+
", "
speech_output
+=
". Mmmm, delicious. Looks like someone was hungry today!"
print
(
"speech_output:"
,
speech_output
)
return
basic_say
(
speech_output
)
""" Date
hambyrger
Sodium
bagel
cheeseandwich
User
Calories
Potasium"""
def
basic_say
(
words
,
should_end_session
=
True
):
return
build_response
({},
build_speechlet_response
(
"Response"
,
words
,
None
,
should_end_session
))
def
create_favorite_color_attributes
(
favorite_color
):
return
{
"favoriteColor"
:
favorite_color
}
def
set_color_in_session
(
intent
,
session
):
""" Sets the color in the session and prepares the speech to reply to the
user.
"""
card_title
=
intent
[
'name'
]
session_attributes
=
{}
should_end_session
=
False
if
'Color'
in
intent
[
'slots'
]:
favorite_color
=
intent
[
'slots'
][
'Color'
][
'value'
]
session_attributes
=
create_favorite_color_attributes
(
favorite_color
)
speech_output
=
"I now know your favorite color is "
+
\
favorite_color
+
\
". You can ask me your favorite color by saying, "
\
"what's my favorite color?"
reprompt_text
=
"You can ask me your favorite color by saying, "
\
"what's my favorite color?"
else
:
speech_output
=
"I'm not sure what your favorite color is. "
\
"Please try again."
reprompt_text
=
"I'm not sure what your favorite color is. "
\
"You can tell me your favorite color by saying, "
\
"my favorite color is red."
return
build_response
(
session_attributes
,
build_speechlet_response
(
card_title
,
speech_output
,
reprompt_text
,
should_end_session
))
def
get_color_from_session
(
intent
,
session
):
session_attributes
=
{}
reprompt_text
=
None
if
session
.
get
(
'attributes'
, {})
and
"favoriteColor"
in
session
.
get
(
'attributes'
, {}):
favorite_color
=
session
[
'attributes'
][
'favoriteColor'
]
speech_output
=
"Your favorite color is "
+
favorite_color
+
\
". Goodbye."
should_end_session
=
True
else
:
speech_output
=
"I'm not sure what your favorite color is. "
\
"You can say, my favorite color is red."
should_end_session
=
False
# Setting reprompt_text to None signifies that we do not want to reprompt
# the user. If the user does not respond or says something that is not
# understood, the session will end.
return
build_response
(
session_attributes
,
build_speechlet_response
(
intent
[
'name'
],
speech_output
,
reprompt_text
,
should_end_session
))
# --------------- Events ------------------
def
on_session_started
(
session_started_request
,
session
):
""" Called when the session starts """
print
(
"on_session_started requestId="
+
session_started_request
[
'requestId'
]
+
", sessionId="
+
session
[
'sessionId'
])
def
on_launch
(
launch_request
,
session
):
""" Called when the user launches the skill without specifying what they
want
"""
print
(
"on_launch requestId="
+
launch_request
[
'requestId'
]
+
", sessionId="
+
session
[
'sessionId'
])
# Dispatch to your skill's launch
return
get_welcome_response
()
def
on_intent
(
intent_request
,
session
):
""" Called when the user specifies an intent for this skill """
print
(
"on_intent requestId="
+
intent_request
[
'requestId'
]
+
", sessionId="
+
session
[
'sessionId'
])
intent
=
intent_request
[
'intent'
]
intent_name
=
intent_request
[
'intent'
][
'name'
]
# Dispatch to your skill's intent handlers
if
intent_name
==
"MyColorIsIntent"
:
return
set_color_in_session
(
intent
,
session
)
elif
intent_name
==
"WhatsMyColorIntent"
:
return
get_color_from_session
(
intent
,
session
)
elif
intent_name
==
"AMAZON.HelpIntent"
:
return
get_welcome_response
()
elif
intent_name
==
"AMAZON.CancelIntent"
or
intent_name
==
"AMAZON.StopIntent"
:
return
handle_session_end_request
()
elif
intent_name
==
"AddFoodIntent"
:
return
handle_add_food_intent
(
intent
)
elif
intent_name
==
"GetNutritionIntent"
:
return
handle_get_nutrition_intent
(
intent
)
elif
intent_name
==
"ListAllIntent"
:
print
(
"called ListAllIntent"
)
return
handle_list_all_intent
(
intent
)
else
:
raise
ValueError
(
"Invalid intent"
)
def
on_session_ended
(
session_ended_request
,
session
):
""" Called when the user ends the session.
Is not called when the skill returns should_end_session=true
"""
print
(
"on_session_ended requestId="
+
session_ended_request
[
'requestId'
]
+
", sessionId="
+
session
[
'sessionId'
])
# add cleanup logic here
import
json
import
decimal
# Helper class to convert a DynamoDB item to JSON.
class
DecimalEncoder
(
json
.
JSONEncoder
):
def
default
(
self
,
o
):
if
isinstance
(
o
,
decimal
.
Decimal
):
if
o
%
1
>
0
:
return
float
(
o
)
else
:
return
int
(
o
)
return
super
(
DecimalEncoder
,
self
).
default
(
o
)
def
mytempfunction
(
event
):
# client = boto3.client('dynamodb')
dynamodb
=
boto3
.
resource
(
"dynamodb"
)
table
=
dynamodb
.
Table
(
'Food_Items'
)
response
=
table
.
get_item
(
Key
=
{
'Identifier'
:
'Hamburger'
}
)
print
(
json
.
dumps
(
response
[
"Item"
],
indent
=
4
,
cls
=
DecimalEncoder
))
# --------------- Main handler ------------------
def
lambda_handler
(
event
,
context
):
""" Route the incoming request based on type (LaunchRequest, IntentRequest,
etc.) The JSON body of the request is provided in the event parameter.
"""
"""print(event)
if("key1" in event):
return mytempfunction(event)"""
"""print("event.session.application.applicationId=" +
event['session']['application']['applicationId'])"""
"""
Uncomment this if statement and populate with your skill's application ID to
prevent someone else from configuring a skill that sends requests to this
function.
"""
# if (event['session']['application']['applicationId'] !=
# "amzn1.echo-sdk-ams.app.[unique-value-here]"):
# raise ValueError("Invalid Application ID")
if
event
[
'session'
][
'new'
]:
on_session_started
({
'requestId'
:
event
[
'request'
][
'requestId'
]},
event
[
'session'
])
if
event
[
'request'
][
'type'
]
==
"LaunchRequest"
:
return
on_launch
(
event
[
'request'
],
event
[
'session'
])
elif
event
[
'request'
][
'type'
]
==
"IntentRequest"
:
return
on_intent
(
event
[
'request'
],
event
[
'session'
])
elif
event
[
'request'
][
'type'
]
==
"SessionEndedRequest"
:
return
on_session_ended
(
event
[
'request'
],
event
[
'session'
])
Back
|
FazBrowse Home
|
New Git URL