Merge pull request 'no idea atp' (#1) from dev into main

Reviewed-on: #1

bot.py

@@ -113,6 +113,7 @@ async def on_ready() -> None:
     global launched
     global slash_commands_enabled
     global NAME
+    global status
     
     folder_name: str = "cogs"
     if launched:
@@ -137,7 +138,14 @@ async def on_ready() -> None:
         
     if not song:
         return
-    await bot.change_presence(activity=discord.Activity(type=discord.ActivityType.listening, name=f"{song}"))
+    
+    status = {
+        "idle": discord.Status.idle,
+        "dnd": discord.Status.dnd,
+        "invisible": discord.Status.invisible,
+        "online": discord.Status.online
+    }.get(status.lower(), discord.Status.online)
+    await bot.change_presence(status=status, activity=discord.Activity(type=discord.ActivityType.listening, name=f"{song}"))
     launched = True
 
 @bot.event
@@ -225,7 +233,7 @@ async def talk(ctx: commands.Context, sentence_size: int = 5) -> None:
 
 # Command: Generate an image
 @bot.hybrid_command(description=f"{(_('command_desc_help'))}")
-async def impact(ctx: commands.Context) -> None:
+async def impact(ctx: commands.Context, text: Optional[str] = None) -> None:
     assets_folder: str = "assets/images"
     temp_input: Optional[str] = None
 
@@ -259,7 +267,8 @@ async def impact(ctx: commands.Context) -> None:
         shutil.copy(fallback_image, temp_input)
         input_path = temp_input
 
-    output_path: Optional[str] = await gen_meme(input_path)
+    output_path: Optional[str] = await gen_meme(input_path, custom_text=text)
+
 
     if output_path is None or not os.path.isfile(output_path):
         if temp_input and os.path.exists(temp_input):

example.env

@@ -11,6 +11,7 @@ AUTOUPDATE="True"
 SONG="Basket Case - Green Day"
 CHECKSDISABLED="Frue"
 REACT="True"
+STATUS="idle"
 POSITIVEGIFS="https://media.discordapp.net/attachments/821047460151427135/1181371808566493184/jjpQGeno.gif, https://tenor.com/view/chill-guy-my-new-character-gif-2777893510283028272,https://tenor.com/view/goodnight-goodnight-friends-weezer-weezer-goodnight-gif-7322052181075806988"
 SPLASHTEXT="
 

modules/globalvars.py

@@ -35,6 +35,7 @@ LOCALE = os.getenv("LOCALE", "en")
 gooberTOKEN = os.getenv("GOOBERTOKEN")
 splashtext = os.getenv("SPLASHTEXT")
 ownerid = int(os.getenv("OWNERID", "0"))
+status = os.getenv("STATUS")
 showmemenabled = os.getenv("SHOWMEMENABLED")
 BLACKLISTED_USERS = os.getenv("BLACKLISTEDUSERS", "").split(",")
 USERTRAIN_ENABLED = os.getenv("USERTRAINENABLED", "true").lower() == "true"
@@ -43,13 +44,11 @@ MEMORY_FILE = "memory.json"
 MEMORY_LOADED_FILE = "MEMORY_LOADED" # is this still even used?? okay just checked its used in the markov module
 ALIVEPING = os.getenv("ALIVEPING")
 AUTOUPDATE = os.getenv("AUTOUPDATE")
-# IGNOREWARNING = False # is this either??? i don't think so?
+song = os.getenv("SONG")
-song = os.getenv("song")
 arch = platform.machine()
-slash_commands_enabled = True # 100% broken, its a newer enough version so its probably enabled by default.... fix this at somepoint or hard code it in goober central code
 launched = False
 latest_version = "0.0.0"
-local_version = "2.3.3"
+local_version = "2.3.4"
 os.environ['gooberlocal_version'] = local_version
 REACT = os.getenv("REACT")
 if get_git_branch() == "dev":

modules/image.py

@@ -37,7 +37,7 @@ def split_text_to_fit(text, font, max_width, draw):
     midpoint = len(words) // 2
     return " ".join(words[:midpoint]), " ".join(words[midpoint:])
 
-async def gen_meme(input_image_path, sentence_size=5, max_attempts=10):
+async def gen_meme(input_image_path, sentence_size=5, max_attempts=10, custom_text=None):
     markov_model = load_markov_model()
     if not markov_model or not os.path.isfile(input_image_path):
         return None
@@ -52,6 +52,9 @@ async def gen_meme(input_image_path, sentence_size=5, max_attempts=10):
             font = load_font(font_size)
 
             response = None
+            if custom_text:
+                response = custom_text
+            else:
                 for _ in range(20):
                     if sentence_size == 1:
                         candidate = markov_model.make_short_sentence(max_chars=100, tries=100)

todo.txt

@@ -1,4 +1,2 @@
-- fix missing translations in some cases
 - revamp wiki
-- clean the rest
 - alot