Initial commit, added dangoemoji and dango kaomoji

Author: djmbritt

dangoemoji/__init__.py

@@ -0,0 +1,78 @@
+# -*- coding: utf-8 -*-
+
+"""
+Use machinelearning to find the relevant emoji.
+If your emojis are not rendering properly go to and install the emoji fonts at the following link: 
+https://github.com/eosrei/emojione-color-font
+"""
+
+from albertv0 import *
+import json
+import os
+import urllib.request
+import urllib.parse
+import urllib.error
+import requests
+
+__iid__ = "PythonInterface/v0.2"
+__prettyname__ = "Dango Emoji"
+__version__ = "1.0"
+__trigger__ = "emoji "
+__author__ = "David Britt"
+__dependencies__ = []
+
+icon_path = os.path.dirname(__file__) + "/emojicon.svg"
+dangoUrl = "https://emoji.getdango.com/api/emoji"
+
+def handleQuery(query):
+	results = []
+	if query.isTriggered:
+
+		item = Item(
+            id=__prettyname__,
+            icon=icon_path,
+            completion=query.rawString,
+            text=__prettyname__,
+            actions=[]
+		)
+
+		if len(query.string) >= 2:
+			try:
+				with requests.get(dangoUrl, params={"q": query.string}) as api_response:
+					json_data = json.loads(api_response.text)
+
+					all_emojis = []
+					for emoj in json_data["results"]:
+						all_emojis.append(emoj["text"])
+
+					string_emojis = ''.join(all_emojis)
+
+					results.append(Item(
+					    id=__prettyname__,
+	                    icon=icon_path,
+	                    text=string_emojis,
+	                    actions=[
+	                        ClipAction("Copy translation to clipboard", string_emojis)
+	                    ]
+					))
+
+					for emoj in json_data["results"]:
+						results.append(
+							Item(
+								    id=__prettyname__,
+                                    icon=icon_path,
+                                    text=str(emoj["text"]),
+                                    actions=[
+                                        ClipAction("Copy translation to clipboard", str(emoj["text"]))
+                                    ]
+							)	
+						)
+
+			except urllib.error.URLError as urlerr:
+				print("Troubleshoot internet connection: %s" % urlerr)
+				item.subtext = "Connection error"
+				return item
+		else:
+			item.subtext = "Search emojis!"
+			return item
+	return results

dangoemoji/emojicon.svg

@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+
+"""
+Find relevant Kaomoji's using machine learning.
+"""
+
+from albertv0 import *
+import os
+import json
+import urllib.request
+import urllib.parse
+import urllib.error
+import requests
+
+__iid__ = "PythonInterface/v0.2"
+__prettyname__ = "Dango Kaomoji"
+__version__ = "1.0"
+__trigger__ = "kao "
+__author__ = "David Britt"
+__dependencies__ = []
+
+icon_path = os.path.dirname(__file__) + "/kaoicon.svg"
+dangoUrl = "https://customer.getdango.com/dango/api/query/kaomoji"
+
+def handleQuery(query):
+	results = []
+
+	if query.isTriggered:
+
+		item = Item(
+            id=__prettyname__,
+            icon=icon_path,
+            completion=query.rawString,
+            text=__prettyname__,
+            actions=[]
+		)
+
+		if len(query.string) >= 2:
+			try:
+				with requests.get(dangoUrl, params={"q": query.string}) as api_response:
+					json_data = json.loads(api_response.text)
+					for emoj in json_data["items"]:
+						results.append(
+							Item(
+								    id=__prettyname__,
+                                    icon=icon_path,
+                                    text=emoj["text"],
+                                    actions=[
+                                        ClipAction("Copy translation to clipboard", emoj["text"])
+                                    ]
+							)
+						)
+			except urllib.error.URLError as urlerr:
+				print("Troubleshoot internet connection: %s" % urlerr)
+				item.subtext = "Connection error"
+				return item
+		else:
+			item.subtext = "Search emojis!"
+			return item
+
+	return results