debug

doorman/train.py

@@ -12,31 +12,34 @@
 
 
 def train(event, context):
-    # client = boto3.client('rekognition')
-    # resp = client.index_faces()
-    print(event['body'])
+    # print(event['body'])
     data = parse_qs(event['body'])
     data = json.loads(data['payload'][0])
-
+    print(data)
     key = data['callback_id']
 
     # if we got a discard action, send an update first, and then remove the referenced image
     if data['actions'][0]['name'] == 'discard':
         message = {
-            "statusCode": 200,
-            "body": json.dumps({
-                "text": "Ok, I ignored this image",
-                "attachments": [
-                    {
-                        "image_url": "https://s3.amazonaws.com/%s/%s" % (bucket_name, key),
-                        "fallback": "Nope?",
-                        "attachment_type": "default",
-                    }
-                ]
-            })
+            "text": "Ok, I ignored this image",
+            "attachments": [
+                {
+                    "image_url": "https://s3.amazonaws.com/%s/%s" % (bucket_name, key),
+                    "fallback": "Nope?",
+                    "attachment_type": "default",
+                }
+            ]
         }
+        print(message)
 
-        requests.post(data['response_url'], headers={'Content-Type':'application/json;charset=UTF-8', 'Authorization': 'Bearer %s' % slack_token}, json=message)
+        requests.post(
+            data['response_url'],
+            headers={
+                'Content-Type':'application/json;charset=UTF-8',
+                'Authorization': 'Bearer %s' % slack_token
+            },
+            json=message
+        )
         s3 = boto3.resource('s3')
         s3.Object(bucket_name, key).delete()
 
@@ -46,17 +49,14 @@ def train(event, context):
         new_key = 'trained/%s/%s.jpg' % (user_id, hashlib.md5(key.encode('utf-8')).hexdigest())
 
         message = {
-            "statusCode": 200,
-            "body": json.dumps({
-                "text": "Trained as %s" % user_id,
-                "attachments": [
-                    {
-                        "image_url": "https://s3.amazonaws.com/%s/%s" % (bucket_name, new_key),
-                        "fallback": "Nope?",
-                        "attachment_type": "default",
-                    }
-                ]
-            })
+            "text": "Trained as %s" % user_id,
+            "attachments": [
+                {
+                    "image_url": "https://s3.amazonaws.com/%s/%s" % (bucket_name, new_key),
+                    "fallback": "Nope?",
+                    "attachment_type": "default",
+                }
+            ]
         }
         print(message)
         requests.post(data['response_url'], headers={'Content-Type':'application/json;charset=UTF-8', 'Authorization': 'Bearer %s' % slack_token}, json=message)
@@ -76,13 +76,11 @@ def train(event, context):
         )
 
         # move the s3 file to the 'trained' location
-        print (key)
-        print (new_key)
         s3 = boto3.resource('s3')
         s3.Object(bucket_name, new_key).copy_from(CopySource='%s/%s' % (bucket_name, key))
         s3.ObjectAcl(bucket_name, new_key).put(ACL='public-read')
         s3.Object(bucket_name, key).delete()
 
-        print (foo.json())
-
-    return {}
+    return {
+        "statusCode": 200
+    }

readme.md

@@ -1 +1,4 @@
 aws rekognition create-collection --collection-id sentia
+
+
+ 1203 ggc_user  20   0   82664  34704   7640 S   0.3  0.4   0:02.68 python2.7 /runtime/python2.7/lambda_runtime.py --handler=das_mutter.function_handler

serverless.yml

@@ -91,12 +91,6 @@ functions:
       - http:
           path: faces/train
           method: post
-    environment:
-      DELETE_FUNCTION_ARN:
-        Ref: DeleteLambdaFunction
-
-  delete:
-    handler: handler.delete
 
 # resources:
 #   Resources: